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Open Access Article
1 - Short-term prediction of carbon monoxide gas concentration in the air of Ahvaz city using artificial neural network analysis
Maryam Kavosi سیما سبزعلی پور hossein fathianIntroduction: Air pollution in cities is one of the most critical environmental problems, representing a constant and severe threat to both the health and hygiene of society and the environment. The primary air pollutants include nitrogen oxides, with a particular empha MoreIntroduction: Air pollution in cities is one of the most critical environmental problems, representing a constant and severe threat to both the health and hygiene of society and the environment. The primary air pollutants include nitrogen oxides, with a particular emphasis on nitrogen dioxide, sulfur oxides, especially sulfur dioxide, hydrocarbons, carbon monoxide (CO), carbon dioxide, and suspended particles. Ahvaz, a metropolis in Iran, stands out as one of the most polluted cities. Effective environmental management, particularly in addressing air pollution, is of paramount importance. This research aims to predict the concentration of CO pollutants in Ahvaz city for the first seven days of 2015. Materials and Methods: Based on previous studies, meteorological variables including weather, air temperature and wind speed were selected as gas input titles in the network for gas prediction. CO gas was procured in 2014 through the Environmental Protection Organization of Ahvaz city. In order to develop the Multilayer Perceptron (MLP) neural network, Neuro Solution5 software was used to create the neural network, 70% of the data was used for training (validation), 15% for testing, and the remaining 15% for validating the results of the network. is used. was used. Results and Discussion: In order to determine the best MLP network structure for short-term prediction of CO gas concentration, different structures were considered in terms of the number of intermediate layers, the type of network training algorithm, the type of transfer function, the number of intermediate layer neurons and the number of repetitions (Epoch) of training. The results showed that the MLP network with a structure of 1-5-3 (that is, 3 input neurons, 5 neurons in the middle layer and one neuron for the output layer) with 1500 repetitions of training per Tansig transfer function (Tansant Sigmoid) and Traingdm training algorithm (reduction gradient with momentum), is the best MLP network. In addition, the values of NSE, RMSE and MAE statistical indices for the network training stage are equal to 0.72, 0.22 and 0.15 respectively. Conclusion: Air pollution, the primary environmental challenge in Ahvaz, arises from the intersection of traffic and the oil industry. Its impacts on health and the environment necessitate comprehensive investigation. In this study, an MLP network was employed to predict CO gas concentration values in the air of Ahvaz city. The findings demonstrate that the network's accuracy and performance in forecasting CO gas concentration are at an optimal level. As this research progresses, it is recommended to extend the prediction to other gaseous pollutants and to employ optimization algorithms for determining the optimal structure of the artificial neural network Manuscript profile -
Open Access Article
2 - Investigating the possibility of biasing recommendation algorithms from users' rating behavior in online social networks
Mehdi Safarpour Seyed Hadi Yaghobian Karamollah BagheriFard razieh malekhoseini Samad NejatianAs online social networks become more widely used, there is a growing focus on the role of recommender algorithms within these platforms. It is important to assess the accuracy of these algorithms in providing suitable recommendations. Our research demonstrates that the MoreAs online social networks become more widely used, there is a growing focus on the role of recommender algorithms within these platforms. It is important to assess the accuracy of these algorithms in providing suitable recommendations. Our research demonstrates that the presence of individuals and acquaintances within social networks influences user behavior in ways that are largely psychological. Many user actions on a post are influenced by their respect or closeness to the post's owner. This article explores how the predictability of user behavior towards posts from friends and acquaintances highlights the impact of emotional connections stemming from stable social relationships on post acceptance. It also raises concerns about the potential for incorrect recommendations in algorithms based on collaborative filtering due to data bias caused by these factors. Manuscript profile -
Open Access Article
3 - Improving Web Recommendation Systems via Feature Engineering for Anticipating User's Subsequent Links
Vahid Saffari Karamolah BagheriFard Hamid Parvin Samad Nejatian Vahide RezaieGiven the remarkable growth in online content and extensive user engagement, understanding user behavior and providing accurate content recommendations stands as a significant challenge in data mining and recommendation systems. This article introduces a comprehensive a MoreGiven the remarkable growth in online content and extensive user engagement, understanding user behavior and providing accurate content recommendations stands as a significant challenge in data mining and recommendation systems. This article introduces a comprehensive approach to enhance user profiling accuracy and increase precision in web page recommendations. It initiates this process by introducing an innovative feature called "user engagement duration with web pages," significantly aiding in improving user profiles. Leveraging these enriched profiles facilitates predicting a user's next web page visit. Evaluating this model, comparison with a scenario lacking this new feature demonstrates a substantial increase in prediction accuracy upon its inclusion. Additionally, we delve into cluster analysis, employing k-means and k-medoids algorithms, where k-medoids demonstrate greater diversity in sample clustering. The paper establishes the superiority of using k-medoids in this domain and emphasizes the importance of determining optimal cluster sizes. Ultimately, this research culminates in developing a web recommendation system capable of highly accurate predictions regarding the user's next web destination. Hence, the proposed approach enhances the model's precision in recommending links to users and promises further advancements in this field. Manuscript profile -
Open Access Article
4 - The prediction of Bankruptcy Risk Investigation Using Artificial Neural Networks Based on Multilayer Perceptron Approach (Empirical Evidence: Tehran Stock Exchange)
Somayeh Saroei Hamid Reza Vkili Fard Ghodratolah Taleb NiaThe aim of this research is Identification of the effective factors on bankruptcy prediction of Iranian companies by findings of artificial neural network (ANN) system based on Multilayer Perceptron Approach (PS) , and providing an appropriate statistical model for esti MoreThe aim of this research is Identification of the effective factors on bankruptcy prediction of Iranian companies by findings of artificial neural network (ANN) system based on Multilayer Perceptron Approach (PS) , and providing an appropriate statistical model for estimating the bankruptcy of Iranian companies by using the findings of The ANN implementation. we seek to answer the following question: Are we able to design a valid statistical model by using findings of artificial neural network (ANN) system to predict the bankruptcy of Iranian companies? The statistical population in this study is all of listed companies in Tehran Stock Exchange. By considering the criteria and method of systematic deletion, 172 companies from this statistical society have been selected as the sample in this research from 2007 to 2016. In order to make statistical analyzes in this study, we used from methods such as artificial neural network system based on multilevel perceptron approach, binary logistic regression, and tests such as Akaic, Schwarz, Hanan Quinn and Z wang test. The results of the analysis of the research data show that the ANN system can identify of the factors affecting on bankruptcy of Iranian companies in the year before bankruptcy by Precision equal 98%. Manuscript profile -
Open Access Article
5 - An Analysis of the Energy Consumption Status in the Framework of Future Study Case Study: Tabriz City
Abolfazl Ghanbari Musa Vaezi Zahra AmjadiBackground: The increasing importance of energy resources in the formation and growth of economic processes, as well as the need to exploit these resources, based on environmental considerations and sustainable economic and social development, highlights the issue of id MoreBackground: The increasing importance of energy resources in the formation and growth of economic processes, as well as the need to exploit these resources, based on environmental considerations and sustainable economic and social development, highlights the issue of identifying and Future Study of the factors affecting energy consumption. Objective: The present research studies the status of energy consumption in Tabriz city in the framework of Foresight. Methods: This research is applied and descriptive-analytic. The Delphi method and the group of experts have been used to identify the factors affecting energy consumption. After analyzing the factors, 40 factors were identified and selected as influential factors. Using MICMAC software, the interactive effects analysis method has been identified. Finally, out of 40 factors, 16 main factors were selected as effective key proponents. Findings: Based on the data included in the questionnaire and the Wizard scenario software analysis, there are five strong scenarios, of which two scenarios are desirable conditions, a scenario of critical conditions, and two other scenarios of intermediate conditions. 13 scenarios with high adaptability and 292 poor scenarios. Initial studies of 13 scenarios show that the relative relativity of undesirable numbers is favorable on desired conditions. Apart from a few limited scenarios that have the characteristics that are desirable and progressing, the rest of the scenarios do not have a good future. Conclusion: The main result of this research is that the future energy consumption situation in Tabriz will continue to be a continuation of the current situation with an unfavorable and unfavorable situation. Manuscript profile -
Open Access Article
6 - Cluster Analysis of Iran's Position in the World and Future Trends Based on Good Governance Components
Mona Ahani Morteza Mosakhani Reza Najafbeigi Mohammad Ali AfsharkazemiThe Study of good governance and the quality of government institutions is a debate that began in the 90's. Good governance, which consists of six components: control of corruption, government effectiveness, political stability and absence of violence, regulatory qualit MoreThe Study of good governance and the quality of government institutions is a debate that began in the 90's. Good governance, which consists of six components: control of corruption, government effectiveness, political stability and absence of violence, regulatory quality, rule of law, voice and accountability, is a model for development. In this study, the World Bank's assessments and statistics on the six-fold good governance indicators published each year, were used to survey 186 countries worldwide. The aims of this research were studying the status of countries based on good governance and determining the status of Iran among other countries, using clustering technique; And analyzing the trend of Iran's position in the 2021 horizons using time series analysis. Using the clustering method of the countries of the world, based on the good governance and the frequent clustering of Iran with other countries, they were separated. Then, from the time series method using of the exponential smoothing based on the ARIMA's method was investigate to predict the six's good governance indicators and the situation of the country in the next five years. Findings of the research show that in the 2021 horizons, the accountability index will be problematic in the country and the rule of law and control of corruption ratios will remain almost unchanged, and, on the other hand, the rest of the indicators show a slight improvement. Manuscript profile -
Open Access Article
7 - Forecasting of OPEC's Global Crude Oil Demand using Vector Self-Engagement Models, Collective Exploration and Gravitational Search
heshmatolah asgari mohammadreza omidi zahra malekinia ALIAKBAR OMIDIKnowledge about future oil demand is essential for OPEC member countries to set priorities and select policies in order to achieve economic growth and development. So in this study, the OPEC oil demand has been predicted using time series models Including Structural Vec MoreKnowledge about future oil demand is essential for OPEC member countries to set priorities and select policies in order to achieve economic growth and development. So in this study, the OPEC oil demand has been predicted using time series models Including Structural Vector Autoregressive model (SVAR), Autoregressive Integrated Moving Average model (ARIMA) and Gravitational Search Algorithm (That is one of the Innovative Search Algorithms) applying demand data from 1970 to 2014. In this regard, three criteria including Mean Sum of Squared Errors (MSSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) have been used to measure the predictive power of triple models. Results indicate that the SVAR model has the most appropriate prediction of OPEC global demand. According to results of this model, net export variable has a positive and significant impact on oil demand and OPEC petroleum price and non- OPEC production variables have a negative and significant impact on oil demand. Manuscript profile -
Open Access Article
8 - Prediction of Customer Satisfaction level in after-sales service in automotive industry- Dealers in Saipayadak Co.
Reyhaneh Varasteh Ahmad EbrahimiBackground: Based on the competition and product variety in the automotive industry, auto makers require to achieve capability to respond properly to customers and their competitors. The special position of after-sales service in automotive industry and also maintain th MoreBackground: Based on the competition and product variety in the automotive industry, auto makers require to achieve capability to respond properly to customers and their competitors. The special position of after-sales service in automotive industry and also maintain the existing customers and attract the new ones, makes the prediction and measurement of customer satisfaction as a must in this industry.Purpose: In this paper, using prediction approach in futures studies, has made us firstly to identify the influential factors on customer satisfaction. Then the customer satisfaction level has been predicted and analyzed in after-sales service of dealers in an automotive manufacturer.Methods: The statistical population includes the dealers of Saipayadak Co. The statistical sample includes 14486 of after-sales service dealers in the period of April 2017 to June 2017. Independent variables, after extracting through literature review, were finalized using brainstorming and fishbone diagrams. Statistical analysis and prediction was performed using stepwise regression method with coding in RStudio software.Findings: By using data mining method, the customer satisfaction score in after-sales service of dealers in Saipayadak Co. has been predicted with 80% accuracy.Conclusion: By knowing the customer satisfaction level, auto makers can define quality improvement projects and move toward to competitiveness desirably. Manuscript profile -
Open Access Article
9 - An Impirical Investigation of the Effects of Financial Statement Analysis in Predicting Future Dividend of the Firm Member in Tehran Stick Exchange.
R. Shabahang F. HeydarpourPrediction of dividend is an important factor for decision making. Financial statement analysis can used for divided prediction . Decision makers usually co MorePrediction of dividend is an important factor for decision making. Financial statement analysis can used for divided prediction . Decision makers usually consider earnings as a signal for dividend figure . In this research two hypothesis are investigated : 1) There is a relation between financial variables / ratios ( other than earning figure alone ) and dividend and 2) financial variables / ratios are useful for prediction of dividend by using model . For that ,194 firms member in Tehran Stock Exchange were investigated .Methodology of research is correlation . Dependent variable is dividend and independent variables are 24 financial variables / rations . At first , the model was derived by using 1375-1380 data and the it’s fitness was evaluated . 8 variables was remained in model . For more confidence those process were done with 1375-1379 data and dividends of 1380 were predicted . It showed about 75 percent of real dividends in 1380 were between upper / lower limit at 95 percent level . Then the research hypothesis were confirmed . The non – earning / non-dividend variables are debit to total assets , equity . inventory to assets , debit and share price before stockholder’s meeting . Other variables are EPS , ROI , net sales to equity. Manuscript profile -
Open Access Article
10 - A study on the financial performance of companies using data envelopment analysis model and Zemijsky's model, and a comparison of their results . (the case of accepted pharmaceutical companies in stock market)
Akbar Rahimipoor Masomeh Tadress HasaniRecent bankruptcy of big companies all over the world and fluctuations in Iran's stock market require that some methods be developed for the evaluation of companies' financial potential. Different models are used for the prediction of bankruptcy and the evaluation of MoreRecent bankruptcy of big companies all over the world and fluctuations in Iran's stock market require that some methods be developed for the evaluation of companies' financial potential. Different models are used for the prediction of bankruptcy and the evaluation of organizational financial situation. Environmental changes and increasing competition among agencies led to companies' and organizations' limited access to expected profit. Thus, financial decision making is, nowadays, more and more important, forcing managers to apply modern control methods through sophisticated techniques. The present study aims to evaluate the performance of companies' situation. For this purpose, we use the two models of data envelopment analysis and Zemijsky and compare results derived from them. The research data were gathered from 10 accepted in stock market. Results from data envelopment analysis model indicated that only one company was in a proper financial situation while results from Zemijsky's model showed that there were two companies in good financial condition. We also managed to develop strategies for the improvement of financial situation in other companies using data envelopment analysis model. Manuscript profile -
Open Access Article
11 - Bankruptcy Prediction Using Artifical Neural Networks with Camparsion to the Altman Model
M.R. Setayesh D. Ahadianpoor ParvinThis research has been done under title: Bankruptcy Prediction using Artificsl Neural Networks withcamparsion to the Altman Model.The goal of this study is to provide exact explanation and presentation of theoretical basis of research andmeasurement of usefulness bankru MoreThis research has been done under title: Bankruptcy Prediction using Artificsl Neural Networks withcamparsion to the Altman Model.The goal of this study is to provide exact explanation and presentation of theoretical basis of research andmeasurement of usefulness bankruptcy financial models. We presented the research hypotheses in order toprovide suitable scientific context for the study.Hypothese 1: Artificsl Neural Networks and Altman models are suitable instrumental for prediction ofbankruptcy.Hypothese 2: In prediction of bankruptcy one firm, have significant difference the resultsof this two models.The means of the research statements (Balance sheets, Income statement, cash flow statement) of thecompanies which were accepted in Tehran Stock Exchange. The library method was employed in datagathering. Statistical population of research includes active companies whose financial statements areaccessable in Tehran Stock Exchange. The statistical sample of the research includes active companies inproductive industries, from 1379 to 1384.In order to analysis data, We used statistical metods of nonparametric binomial, and for cointegrationsignificant difference two models employed wilcoxon signed- rank test and sign test for hypothese 2. Afteranalyzing the data the results gained id confirmed and supported by above tests Manuscript profile -
Open Access Article
12 - The Application of Altman & Springate Models In Bankruptcy Prediction of Accepted Companies In Tehran Stock Exchange
A. Mohammadzadeh M. NoferestiThe investors are always trying to prevent from losing their capital ad interest through predicting theprobability of the bankruptcy of a Company since in the event of the bankruptcy, value of thesecurities decreases intensely. So, the investors are looking for methods MoreThe investors are always trying to prevent from losing their capital ad interest through predicting theprobability of the bankruptcy of a Company since in the event of the bankruptcy, value of thesecurities decreases intensely. So, the investors are looking for methods by which they could predictthe bankruptcy of the Companies. Moreover, one of the issues discussed 'in financial management isthe investment and trust in the investment and one of the things that could help the investors to makeright decisions in their investments is the existence of some tools and models for the assessmenl offinancial status and the condition of the Organizations.The purpose behind this research is to determine the efficiency of Altman and Springate Models inpredicting the bankruptcy of a Company. The statistic Community on which this research was 'madeis~ the successful and bankrupted Companies in Tehran's Security Exchange and the required Data tomake this research is collected in a period of five years (2001-2006). After calculating the ratiosexistent in the models and determining z index, accuracy and error for each of the models arecalculated .Regarding the results obtained from the, research, both, of Altman and Springate Models have thecapability to predict 'the bankruptcy of the Companies in Tehran's security Exchange while AltmanModel enjoys from more accuracy in comparison with Springate Model. So, the prospective investors,shareholders and others are recommended to use Altman Model in predicting the bankruptcy of theCompanies accepted in Tehran 's Security Exchange. Manuscript profile -
Open Access Article
13 - A Review Of Cross Impact Analysis Methods And An Introduction To the Correlation Logic Method
Ebrahim Hajiani Alireza HemmatiMost of the futures study methods evaluate the concerning variables and drivers seperately to predict or examine the events. However, some times there is a need to analyze the event occurance probability in correlation with a series of predicted events. The Cross Impact MoreMost of the futures study methods evaluate the concerning variables and drivers seperately to predict or examine the events. However, some times there is a need to analyze the event occurance probability in correlation with a series of predicted events. The Cross Impact Analysis method is the key to this problem. Requiring more complex statistical processing to achieve the results, the Cross Impact Analysis method, like the Delphi method, is based on the experts opinions. The main approach in this method is to determine the event occurance probability or various driver forces seperately and ask the experts opinions for the event occurance probability in case of other event occurances and their cross impact. In advanced methods of this analysis, discussed in this study, event occurance probability is reviewed in the chain of reasons between events. Thus, a matrix of the primary probabilities and conditional probabilities and directed event cross impact relations and driving forces is designed. The common methods of this analysis defines rules based on the two logic of probabilities and structures relations for the events impacts on each other. However, both methods are not used for the cross impacts. In this study, authors presented a new method of correlation logic to cover both positive and negative impacts of events on each other using a review on available methods of cross impact analysis. Cross impact analysis method usually leads to a scenario Manuscript profile -
Open Access Article
14 - Using a Modified Trainable Neural Network Ensemble for Trend Prediction of Tehran Stock Exchange (Case Study: Kharg Petrochemical Company)
A. Shahrabadi R. Ebrahimpour H. NikooThis paper represents a comparison between modified trainable neural network ensemble with othertrainable and non-trainable ensembles. The historical data available in this case study are from khargpetrochemical company in Tehran stock exchange. This company is one of t MoreThis paper represents a comparison between modified trainable neural network ensemble with othertrainable and non-trainable ensembles. The historical data available in this case study are from khargpetrochemical company in Tehran stock exchange. This company is one of the biggest producers ofpetrochemicals, including methanol, in Iran and its stock price is very much dependent on worldmethanol price. Therefore Kharg stock price reflects its financial information more clearly than otherswith no products for global exportation. The reason of choosing Kharg is related to its large datahistory and high rate of stock free float1. The results show how a modified trainable neural networkensemble can overcome other trainable and non-trainable ensembles. This study also demonstrateshow we can beat the market through our proposed model without the use of extensive market data orknowledge Manuscript profile -
Open Access Article
15 - Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey
Milad Keshtkar Langaroudi Mohammadreza Yamaghani -
Open Access Article
16 - Optimization of weighting-based approach to predict and deal with cold start of web recommender systems using cuckoo algorithm
reza molaee fard -
Open Access Article
17 - A Study of the relationship between addiction and stress smartphone Mediating Role of Social Support The students of Islamic Azad University Bojnoord
Mahbobeh Soleimanpour Omran Zeynab EslamiThis study aimed to investigate the relationship between addiction and stress smartphone with the mediating role of social support were undergraduate students of Islamic Azad University The study population comprised all students to number 1650 According to Morgan table MoreThis study aimed to investigate the relationship between addiction and stress smartphone with the mediating role of social support were undergraduate students of Islamic Azad University The study population comprised all students to number 1650 According to Morgan table (1972), 315 patients were selected by simple random sampling. Mobile dependency information to assess the scale of the mountain (2009), the Student-Stress Questionnaire (SLSI) (Gadzella, 1991) and social support scale was used Sherborne and Stewart in 1991. Using Cronbach's alpha coefficient of reliability of the questionnaire were assessed by questionnaire addiction to mobile phones, stress and social support to the amounts 0.812, 0.761 and 0.863, respectively Which indicates the validity of the questionnaire were chosen for the analysis of the data, the structural model with LISREL software is used According to the results of the structural model and stress the positive relationship between addiction to mobile phones (coefficient of track0.69) and significant (P =, 6.45) is established The relationship between addiction to mobile phones and social support and a significant path coefficient respectively 0.46- and 8.25, respectively For the relationship between stress and social support as well as a significant path coefficient values are 0.54- and 7.46, respectively The telling of this claim Addiction to mobile phones increased stress levels among students And stress caused by addiction to mobile phone also reduces the amount of social support among students. Manuscript profile -
Open Access Article
18 - Content Analysis of Women's Social Harms in Movies (Case of Study: the Phenomenon of Addiction in the first three Decades after the Islamic Revolution)
Mehdi MokhtarpourCinema, due to its visual appeal and propaganda power in today's advanced world, has attracted the attention of those involved in various economic, cultural, political and social fields around the world. The main purpose of this study is the content analysis of women's MoreCinema, due to its visual appeal and propaganda power in today's advanced world, has attracted the attention of those involved in various economic, cultural, political and social fields around the world. The main purpose of this study is the content analysis of women's social harms in movies with emphasis on the phenomenon of addiction in the first three decades after the Islamic Revolution. In this research, the history of Iranian cinema has been studied using the documentary method. In the review of films made with the theme of addiction, those that deal with women's addiction have been selected and examined. Also, in the field of reviewing the theories related to addiction, life-oriented theory, drug subculture theory, incomplete mourning theory and social deviation theory, the documentary method has been used. Then, the films were analyzed using qualitative content analysis method based on research questions and categories. The findings show that the representation of changes in the type of drugs used has been somewhat influenced by reality. The distribution of the production of films that deal with the subject of women's addiction, considering that we are facing a growth of more than two percent of women's addiction in the country since the late seventies, despite the small number, seems appropriate. A total of three films on addiction were made in the 1960s and 1970s, and six in the 1980s. However, the small number of these films shows the neglect of the subject and the limitations of representing women addiction in our cinema. Manuscript profile -
Open Access Article
19 - Investigation of Social Networks (Facebook, Twitter, Line, Viber) Impact on Social Identity of Users
Shirzad Bakhshi Taliabi Shahnaz Hashemi Mohammad SoltanifarNew communication technologies and their information highway, especially Internet, have led to developments in intensity and extent of people communication throughout of world, and they have created qualitative development in type of people communication with each other MoreNew communication technologies and their information highway, especially Internet, have led to developments in intensity and extent of people communication throughout of world, and they have created qualitative development in type of people communication with each other. It means that nowadays it is possible to use a lot of information in the least time and establish oral, written, and visual communication with relatively low cost using social networks with the presence in in this highway. While many developments played role in emergence of this phenomenon, it has created several developments after its emerging, that one of these developments occurred in the base and meaning of social identity of people. In this study, we examined the impact of social networks (Facebook, Twitter, Line, and Viber) on internet addiction, undermining the values of Iraninan culture, fading and fragmentation of social identity. Manuscript profile -
Open Access Article
20 - The Effects of Educational Movies on Changing the Attitudes of High School Students in Damavand toward Drug Abuse
Maryam Taherian Mohammad Reza Rasouli Ahmad AbohamzehIn the perspective of children and adolescents, the pianos show more attention to films that are different from the image of their everyday life and make them strange. The purpose of this study was to investigate the effect of educational films on changing attitude of h MoreIn the perspective of children and adolescents, the pianos show more attention to films that are different from the image of their everyday life and make them strange. The purpose of this study was to investigate the effect of educational films on changing attitude of high school students in Damavand city toward drug abuse. The sample of this study was a sample of 80 high school students who were pre-tested using the form A of Attitude Survey on addiction. Subjects were randomly assigned to two groups of 40, including control and experimental groups. 40 subjects who scored higher in the pre-test (ie, more positive attitude toward drug use) in the experimental group and the rest of the students were 40 Were randomly selected and replaced as control group, and then showed to the experimental group for 1 month of educational films, but no variables were applied to the control group. At the end, both groups were subjected to post-test using the Attitude Measurement Scale. The research hypotheses were analyzed by covariance analysis and t-test. The findings of this study indicate that there is a significant difference between students' attitude towards substance abuse (in terms of recognition, affection and behavior) and addiction before and after showing educational films. In other words, the attitude toward substance abuse is changing with the showing of educational films for girls. Statistical analysis showed that educational films were effective in changing students' attitude toward substance abuse. Manuscript profile -
Open Access Article
21 - Compare the structure and content of the news and issues of addiction in the Iran and Hamshahri newspapers
Seyed ali rahmanzadeh, Mahnaz pishdarIntroduction: Drug is considered as one of the most calamity social devastating. Human society faced natural and unnaturaldisaster and several crises since of existence. So, many human existences endangered and even geopolitical and geo-politicalmap of the world has und MoreIntroduction: Drug is considered as one of the most calamity social devastating. Human society faced natural and unnaturaldisaster and several crises since of existence. So, many human existences endangered and even geopolitical and geo-politicalmap of the world has undergone a transformation.Production, distribution and substance abuse of drug is brought human society in to the fall. Crises of drug are the biggestconcerns of humanity in the current world.In this essay, in order to compare the structure and content of the news and issues of the addiction in the Iran and hamshahrinewspapers in 1390, In the meanwhile of the pointing with necessity of the attention to the addiction issues in the country.First we consider the media performance in the fighting against substance abuse of drug. Then study the theoreticalframework of research design, research methodology, statistics, population, sampling way. Introduce the variables andstatistical methods to analyze data and test hypotheses. Finally, Summary findings of the analysis are described Manuscript profile -
Open Access Article
22 - Designing a smart algorithm for determining stock exchange signals by data mining
pantea maleki-moghadam akbar alem-tabriz esmael najafiOne of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of MoreOne of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of methodology to present a smart model.In this paper, we investigate relationships between the data and access to their latent information with an enormous amount of data which has a significant impact on the investor’s decisions. First, extracting technical indicators from different point of the charts based on two groups of stock exchanges like petrochemical and automotive during 1387 to 1396, then analyzing clusters by means of k-means algorithm and data mining methodology. The contributions of this paper are: 1. To create a model with twenty technical indicators in different stock exchange companies and industries.2. To evaluate the proposed model and finally to predict the sales signals at the maximum points which has significant performance and can be predicted with acceptable accuracy. Manuscript profile -
Open Access Article
23 - The Judicial Rights of Citizenship in Jurisdiction, Confession, and Testimony from the Standpoint of Islamic Jurisprudence and Law
Shiva Azizaan Ebrahim Yaghouti Aahmad reza khazaeiConsidering the sublime concept that human has a humanly nature and the fact that recognition of humans‘ legitimate and designated rights have an endless horizon that certainly require endless efferts in different societies, legal fundations, and schools of though MoreConsidering the sublime concept that human has a humanly nature and the fact that recognition of humans‘ legitimate and designated rights have an endless horizon that certainly require endless efferts in different societies, legal fundations, and schools of thoughts, therefore, citizenship rights, as a new expression in Iran borrowed from Arabic literature, are of different types including judicial citizenship rights which explain the rights of defendant, plaintiff, and witness in jurisdiction, confession, and testimony, respectively. Judges, bailiffs, and other justice executives in judicial system are required to respect these rights. Reviewing Quran verses and Infallible imams’ traditions, one sees that Islam explains comprehensively the judicial rights of citizenship making it is one of the important references regarding judicial citizenship rights in positive law, putting the serious responsibility of judgment on the shoulders of the qualified and just judges and explaining some special orders and instructions on the subject. This is a descriptive-analytic research. The findings showed that the Iranian constitution considers citizenship rights as of the nation rights and its principles as explained in the judicial law are of legal sanctions in the Islamic criminal law. In addition, other laws, such as criminal procedure code and single-clause bill of legitimate freedoms and citizenship rights, though suffering some flaws, show special considerations from the legislators for the judicial rights of citizenship. Manuscript profile -
Open Access Article
24 - Analyzing the effect of denial of parentage on the financial and non-financial rights of children in Iran's legal system
Maryam ul Sadat Mohaghegh Damad Reihaneh Jalali FarahaniRelative relationship may be denied for various reasons and motivations. The denier of relative relation claims that the relative relation that apparently exists is contrary to reality. In general, any person who benefits from the denial of lineage can file a lawsuit fo MoreRelative relationship may be denied for various reasons and motivations. The denier of relative relation claims that the relative relation that apparently exists is contrary to reality. In general, any person who benefits from the denial of lineage can file a lawsuit for denial of lineage. Therefore, the purpose of writing this article is to clearly state the approach of Iranian law towards the legal status of a child whose parentage has been denied. Since there may be a difference between the rights of a child whose parentage is denied and the rights of a child who does not have this feature, it is necessary to determine which of the financial and non-financial rights is different between the child whose parentage is denied and the child whose not. The result of this research is that those rights that such a child still enjoys are financial rights, alimony and non-financial rights, guardianship, custody, family name and birth certificate. Inheritance is also a right that is affected by denying lineage. Manuscript profile -
Open Access Article
25 - WTO jurisdiction and human rights
Vahid Bozorgt Amir Houshang FathizadehThe aim of this article is to explore the WTO jurisdiction in terms of human rights. WTO resources and legal opinions, the authors have concluded that WTO law is a self-contained system of law and its dispute settlement body (DSB) shall consider only the member’s MoreThe aim of this article is to explore the WTO jurisdiction in terms of human rights. WTO resources and legal opinions, the authors have concluded that WTO law is a self-contained system of law and its dispute settlement body (DSB) shall consider only the member’s disputes in terms of the rights and obligations provided in WTO agreements and it does not have the capacity to examine those disputes which fall under the jurisdiction of other systems of law such as human rights However, despite this fragmentation and separation between WTO law and human rights law, the DSB may make use of the relevant rules of International law, including human rights law, to clarify the provisions of WTO agreements. Manuscript profile -
Open Access Article
26 - Review and critique the contradiction of competency of the revolutionary and punishment provincial courts
M. MalmirIn line with achieving further carefulness in proceedings and materializing social justice , the reform act for the law of organizing the public and revolutionary courts, has initiated the provincial punishment court. According to this act , investigation about the crim MoreIn line with achieving further carefulness in proceedings and materializing social justice , the reform act for the law of organizing the public and revolutionary courts, has initiated the provincial punishment court. According to this act , investigation about the crimes with critical punishments, lipidation, Life imprisonment , rigid and ……..would be under authority of punishment courts of province with presence of five judges , and proceedings with single –judge in these crimes should be prevented.Article 5 of reform act, without any change corresponding approved act of July 6, 1994, has reckoned the authority of revolutionary court in the article 6.The said article 5 is contradicted with clauses of 4 and 20 of reform act with regard to the authority of provincial punishment courts or revolutionary courts, and finally this trend led to the issuance of 664 precedent vote dated January 20,2002 .Regardless of flaws of the vote of precedent, basically, contradiction issue of jurisdiction of provincial revolutionary and punishment courts has not been fully ignored too.10Journal of Law and PoliticsVol.7 No. 16 Fall 2011 & winter 2012It is attempted in this article that by announcing contradiction issue in the jurisprudent of provincial revolutionary and punishment courts, we define the jurisprudence of these two courts given the available laws, and then prove this case that investigation about the crimes with punishments of solid announcement and ..……which apparently is under authority of revolutionary courts by the article 5 of reform act, indeed is under proceeding jurisdiction of provincial punishment courts by reform of restricted act, as a result, the jurisdiction of revolutionary courts faced with further restrictions and this case was accomplished according to the legislator will. Just as the omission of revolutionary prosecutor’s office and mergering it into public courts should be considered in the line of this attitude. Manuscript profile -
Open Access Article
27 - Legitimacy of Enforcement of Unilateral Economic Sanctions in International Law: Guarantor of International Law or National Policy Means?
Ehsan JavidAs a non-organized legal system, international law has been based on decentralized sanction regime. By virtue of this fact, in many cases, states have resorted to unilateral acts particularly unilateral economic sanctions as an aspect of self-help in international law. MoreAs a non-organized legal system, international law has been based on decentralized sanction regime. By virtue of this fact, in many cases, states have resorted to unilateral acts particularly unilateral economic sanctions as an aspect of self-help in international law. Economic sanctions have become integral features of many states’ regulatory systems and can take the form of trade embargoes, export controls, and restrictions on financing, investment and state aid. However, they have attracted a great deal of attention in recent years because of their increased use and the substantial economic and social costs they impose on targeted countries, businesses and individuals. The most problematic issue in this respect is about their legitimacy and coincidence with international norms especially international human rights law. It is said that they impose immense humanitarian costs on the civilian populations of targeted countries. Therefore, their grave humanitarian and human rights effects and consequences give rise to international responsibility of sanctioning states. Manuscript profile -
Open Access Article
28 - Good Faith in the International Commercial Law
کوروش JafarpourThe Principle of Good Faith in the law of contracts is one of themost important and fundamental principles. Nowadays this principleis located and mentioned in general rules of international commercialdocuments. It means that Good Faith should be considered andexecuted i MoreThe Principle of Good Faith in the law of contracts is one of themost important and fundamental principles. Nowadays this principleis located and mentioned in general rules of international commercialdocuments. It means that Good Faith should be considered andexecuted in every transaction. In this article, the author endeavors toexplaine the importance of this principle in international transactions.In the first part it is tried to explain the concept of Good Faith. Thenit is shown the place of this principle in Common Law and Civil Lawsystems. In the second part of this article, it is explained the place ofGood Faith in international Commercial documents like CISG, PECLand UNIDROIT. In this part we can see the great expansion anddevelopment in the scope of Good Faith principle in new internationalcommercial documents. All of these lead us to have an independent common law. The aim of this study is to consider the notion and elements ofevasion of law in private international law as a limitation of party autonomy.It will consider the relationship of this doctrine to other institutions such asavoidance, public policy, good faith and mandatory rules, and will discusswhether or not it can be considered as a proper device for limiting freedomof choice by the parties. Consideration will also be given to the existenceof this doctrine in private international conventions in particular the RomeConvention on the Law Applicable to Contractual Obligations, 1980. Manuscript profile -
Open Access Article
29 - A framework for measuring and predicting system risk with the conditional value at risk approach
Ja'far Baba Jani M. Taghi Taghavi Fard Amin GhazaliIn recent years with the increasing integration and innovation in financial markets, concerns about the overall stability of the financial system has increased and the concept of systemic risk has become more important. systemic risk is the risk imposed by interlinkages MoreIn recent years with the increasing integration and innovation in financial markets, concerns about the overall stability of the financial system has increased and the concept of systemic risk has become more important. systemic risk is the risk imposed by interlinkages and interdependencies in a system or market, where the failure of a single entity or cluster of entities can cause a crisis in the entire system or market. In this study, we presented a framework for measuring and predicting systemic risk in the capital market of Iran using conditional value at risk approach (CoVaR). On this basis, ΔCoVaR as a measure of systematic risk using quintile regression based on a set of state variables that indicates changes in the distribution of asset returns has been estimated. As well as to enhance the accuracy of the estimate, the research variables modeled after the conditional autoregressive value at risk model (CAViaR) has been developed and some Lagged firm specific characteristic has also been added. In order to test the validity of the model back testing methods have been used. On the other hand, The potential for systemic risk increases when volatility decreases (volatility paradox). In this study, we try to predict systemic risk by take advantage of the panel structure of the data and the relationship between ΔCoVaR and firm-specific variables that are available in certain sections. Manuscript profile -
Open Access Article
30 - The Relation between Characteristics of Predicted Earnings per Share by Management and Risk and Firm Value in Terms of Future Decision-Making
فرزانه حیدرپور زیبا خواجه محمودAbstractThe firms that have provided a clear picture of their future are more widely acceptedin the market. One of the ways to draw this picture is exposing the prediction of earningper share. This broadcast makes the capital market sure that firm provides informationim MoreAbstractThe firms that have provided a clear picture of their future are more widely acceptedin the market. One of the ways to draw this picture is exposing the prediction of earningper share. This broadcast makes the capital market sure that firm provides informationimpartially.This study tries to examine the relation between the predicted earning by managementand the firm value and risk. Sampling is done by systematic elimination method andregression analysis was used for testing hypothesis. Sample consists of 178 firms whichare listed in Tehran Stock Exchange and their data were statistically analyzed during theyears of 2007 to 2011; therefore, the sample size in this study is 1068. The results oflogistic regression has shown that the firm reported prediction of earning per share ispotentially considered by capital market , and the activists in this market would use thesefigures to decide in providence model for investing. Manuscript profile -
Open Access Article
31 - Using neural network approach to predict company’s profitability and comparison with decision tree c5 and support vector machine (svm)
Malihe Habibzade Mostafa EzadpourProfit as one of the most important indicators of measuring the performance of the economic unit is one of the important accounting issues that has a high status due to the competitive environment and the importance of quick and proper decision making by managers. There MoreProfit as one of the most important indicators of measuring the performance of the economic unit is one of the important accounting issues that has a high status due to the competitive environment and the importance of quick and proper decision making by managers. Therefore, it is important to analyze the index, factors affecting it and predict profitability. In this regard, the present study was conducted by selecting a sample of 124 observations for the period from 1387 to 1395, based on the basic information of the companies financial statements; the effect of 34 variables on the accuracy of predicting the profitability of the accepted companies by Tehran stock exchange, has been investigated. Tree C5 method was used to determine the significant variables in predicting profitability due to the high ease of understanding of the model. Finally, after determining the effective variables and identifying 8 variables, the accuracy of the predictions was measured using the neural network technique, the C5 decision tree and the backup vector machine (SVM), and the results from these three algorithms were compared. The results of the comparison show that using the c5 decision tree and the 8 variables have the best prediction with accuracy of 93.54%, and then the neural network model is 81.45% more accurate than the supported vector machine (69.35%) and has an error. Manuscript profile -
Open Access Article
32 - Predict the trend of stock prices using XCS based on genetic algorithms and reinforcement learning
Ahmad Reza PakraeiDevelopments for investigation in the area of artificial intelligence and machine learning, especially in the field of evolutionary computation not only enabled us for having more effective analysis of data, but also providing the ability to use it for under MoreDevelopments for investigation in the area of artificial intelligence and machine learning, especially in the field of evolutionary computation not only enabled us for having more effective analysis of data, but also providing the ability to use it for understanding any underlying model of financial markets. Economists, statisticians, and finance teachers were always interested in the development and experiment of stock price behavioral models. XCS is a compound system of genetic algorithm and reinforcement learning, which has on-line interaction with the environment and the ability of learning from its own experience. In this study we will provide a model which predicts the movements of next day‘s stock price on one of the corporations in Tehran stock exchange based on historical data and different technical indicators by using XCS. Then, efficiency of the proposed model was measured in comparison with the random walk model. Results showed that the proposed model has more predicting accuracy in comparison with that random walk model Manuscript profile -
Open Access Article
33 - Analyzing risky and no risky approach of investment opportunities levels on share return prediction ability
Leila Shirnejhad sina kheradyar ebrahim chiraniThe goal of this study is analyzing investors’ decision based on different levels of investment opportunities based on risky and no risky approach on share return prediction ability. In this study, concentration is on using three regression models with replacement MoreThe goal of this study is analyzing investors’ decision based on different levels of investment opportunities based on risky and no risky approach on share return prediction ability. In this study, concentration is on using three regression models with replacement ability on variable coefficient of investment opportunities levels that can analyze share return prediction ability from viewpoint of risky and no risky investors. Study sample includes 113 firms from accepted companies in Tehran stock exchange that includes a time period of ten years from the beginning of 2008 to the end of 2017. Results show that only when investment opportunities level is average, share return prediction ability based on risky approach exists, and against, when investment opportunities level is high and low, share return prediction ability is performed based on investment no risky return. Thus, investment opportunities level has important roles on basis of no risky approach on share return prediction ability. Manuscript profile -
Open Access Article
34 - Comparison of various static and dynamic artificial neural networks models in predicting stock prices
علی اکبر نیکواقبال نادیا گندلی علیخانی اسماعیل نادریAbstractIn this disquisition, has been paid to comparing the performance of static anddynamics neural network by purpose choosing appropriate model in predicting of TehranStock Exchange. The data used in this study consists of daily and interval of time1388/1/5 to 1390/ MoreAbstractIn this disquisition, has been paid to comparing the performance of static anddynamics neural network by purpose choosing appropriate model in predicting of TehranStock Exchange. The data used in this study consists of daily and interval of time1388/1/5 to 1390/8/30, that Including 616 observation for in sample and out of sampleforecasting. Approximately 90% of these observations (556 data) use to estimatecoefficients of the model and the rest of them (60 data) use to forecast out of sample.Models are also employed in this research; two stationary neural network models such asfuzzy neural network (ANFIS) and artificial neural network (ANN) and a dynamicregression neural network model (NNARX). The results of this survey indicate thatAccording to Criteria to calculate the forecast error, among Mean squared error (MSE)and root mean square error (RMSE), Fuzzy neural network model of static, dynamicregression models, neural networks, and finally static artificial neural network modelshave lowest prediction error, Respectively. Manuscript profile -
Open Access Article
35 - The estimation of exchange rate of (IRR-Dollars) based on Purchasing Power Parity and Monetary Approach
مهدی تقوی مهدیه مرادیThis research is an estimation of the exchange rate between the US Dollar and the Iranian Rial, for the period between 1352 and 1387. Using ARDL method for hypothesis testing, and selecting the optimal model, the Mean Square Error (MSE) and Root Mean Square Error (RMSE) MoreThis research is an estimation of the exchange rate between the US Dollar and the Iranian Rial, for the period between 1352 and 1387. Using ARDL method for hypothesis testing, and selecting the optimal model, the Mean Square Error (MSE) and Root Mean Square Error (RMSE) are used to test our hypothesis. The selection of the optimal model for prediction is based on the Purchasing Power Parity (PPP) theory and the Monetary Approach to Balance of Payment. The results of this study indicate that the PPP model is a more accurate indicator of the exchange rate, and is therefore preferred to the monetary approach. Manuscript profile -
Open Access Article
36 - A Study on the Effect of Domestic and Foreign Mass Media on the Rate of Awareness of Citizenship Rights
Ali Hashemianfar Sayyed Naser Hejazi Mojtaba Arezi Habil Heydarkhani -
Open Access Article
37 - Addiction and Crimes in Iran
Mastooreh Sedaghat Tahereh Mirsadoo Golnareh Ghorbanloo Seyed Makan Sedaghat -
Open Access Article
38 - Youth Trend Factors addiction to Drugs in Karaj in 1994
Reza Esmaeili Sayyed Naser Hejazi Zeinab Arezi Roya Pourmohammadi -
Open Access Article
39 - The Effect of Using the Potential of Social Networks in preventing Drug Addiction from the Perspective of Elites
Nazanin Ostovari Sara Mohamadpour -
Open Access Article
40 - Study of the Role of Rehabilitation Centers in Treatments of Addicts in Iran and Need for Their Expansion
Mansour Vosoughi -
Open Access Article
41 - Investigating the Phenomenon of the Internet Addictive Usage Among Adolescents and Youth (15-25 years of age) in the City of Tehran
Said Moidfar Karam Habibpour Gatabi -
Open Access Article
42 - Prediction of Message Diffusion: A Deep Learning Approach on Social Networks
husnyeh safearyan Mohammad Jafar Tarokh Mohammad Ali Afshar Kazemi -
Open Access Article
43 - The Prediction of Iran's Per Capita Health Expenditures up to 2041 Horizon Using the Genetic and Particle Swarm Optimization Algorithms
abolghasem golkhandan Somayeh SahraeiIntroduction: prediction the per capita health expenditures can be useful and effective in determining the best policies for financing and managing of health expenditures. Accordingly, the main objective of this study was to predict the per capita health expenditures tr MoreIntroduction: prediction the per capita health expenditures can be useful and effective in determining the best policies for financing and managing of health expenditures. Accordingly, the main objective of this study was to predict the per capita health expenditures trend in Iran. Methods: In this paper, we specified a health expenditure model relying on theoretical basics in order to obtain desirable forecasts. On the basis of three forms of linear, exponential and quadratic equations and using theoretical foundations in the field of per capita health expenditure function, we used genetic algorithm (GA) and particle swarm optimization (PSO) algorithm to simulate Iranians per capita health expenditure during 1979-2015. Then we selected the superior model in terms of prediction power criteria and forecast per capita health expenditure until 2041. Also, the statistical analyzes were performed using the MATLAB software version R2016b. Results: The predicted results indicate that per capita health expenditures in Iran will increase with a positive slope by 2041. The amount of this expenditure will be from $ 1081 (based on 2011 constant prices) in 2015 to $ 2628 in 2041 (about 2.5 times). Conclusion: With regard to the projected amount of per capita health expenditures up to 2041 horizon, policy makers in the health sector should take the necessary measures to finance the expenditures of this sector. Manuscript profile -
Open Access Article
44 - Customer Retention Based on the Number of Purchase: A Data Mining Approach
Sahar Mehregan Reza Samizadeh -
Open Access Article
45 - Artificial Neural Network Model for Predicting Insurance Insolvency
Ade Ibiwoye Olawale Ajibola Ashim Sogunro -
Open Access Article
46 - A Review on the Basics of Rejection of Judge in Imamiyeh Figh with a look at International Document
Parvin Akbarineh Behnam Amirshakeri Ali GHaribeh Mohamad TaghiIn 0rder to hearing any case based on the rules of jurisdiction, aside from the fact that the judicial authority must has jurisdiction to hear the case, a judge who is refereed by the authority should also have personal jurisdiction to hear the same case on the basis of MoreIn 0rder to hearing any case based on the rules of jurisdiction, aside from the fact that the judicial authority must has jurisdiction to hear the case, a judge who is refereed by the authority should also have personal jurisdiction to hear the same case on the basis of rules of judgement. Independence and observance of the principle of neutrality have been bases of rejection to the judge, guaranteed principle of just judgement, and has been dealt with in the branches of civil, criminal and administrative judgement. In the Islamic era, judges were appointed by the head of government that is khalifa. In this era, except for certain points of the history and rulings of some king, law in Iran has been based on jurisprudence; so, regarding the legal shortcomings, in addition to study just jurisprudential books, it is necessary also to consider principles and rules of transnational procedure cod. As well as, that how the issue of rejection to judge is raised in Islamic jurisprudence, in the principles of international judgment, and in the direction of globalization, and which appropriate guarantees are mentioned and anticipated in line of just judgment can create the context of correction and somewhat compensate void caused by the lack of judgement code. Manuscript profile -
Open Access Article
47 - The role and authority of the judge in civil liability lawsuits, from the point of view of jurisprudence and subject law and its comparison with French law
Saied Farzaneh AliAbbas Hayati Faramarz BagherAbadiThe issue of compensation is one of the most important legal issues. In this research, the role and authority of the judge in civil liability lawsuits from the point of view of jurisprudence and subject law and its comparison with French law have been carried out in thi MoreThe issue of compensation is one of the most important legal issues. In this research, the role and authority of the judge in civil liability lawsuits from the point of view of jurisprudence and subject law and its comparison with French law have been carried out in this research using analytical-descriptive method. It was concluded that judicial systems are divided into different legal systems. The role of the court is different in each legal system. In this way, in the system of accusatory proceedings, the civil lawsuit belongs to the litigants and the judge is only a passive member who cannot play a role other than issuing a verdict based on the reasons presented by the parties. This is while in the investigative judicial system, the role of the judge is active in proving the claim, in civil liability claims, the role of the judge is more active and significant than the involved claims, and this activeness in ascertaining the elements of civil liability and interpreting it, choosing the method of compensation, The basic description of responsibility, mitigation, aggravation and adjustment of damage, change of sentence, etc. appears, which can sometimes and seemingly go beyond neutrality and take on the aspect of protection (of the victim). According to the amendment of the rule prohibiting the acquisition of evidence, the authority of the judge in changing the sentence and damages can be considered limited, and the role of judicial experts in determining the actual damages is undeniable. Manuscript profile -
Open Access Article
48 - Investigation on the role of conservative accounting in the reduction of company bankruptcy risk (evidence from Iranian capital market, based on Zawgin bankruptcy Model)
زهره حاجیها مهدی قائم مقامیThis research examines the existing relations between conservative accounting andbankruptcy risk, that conservative accounting causes increasing properties and cashand bankruptcy is as a condition in which there is not enough money or cash, soaccounting theory indicates MoreThis research examines the existing relations between conservative accounting andbankruptcy risk, that conservative accounting causes increasing properties and cashand bankruptcy is as a condition in which there is not enough money or cash, soaccounting theory indicates the existence of this relation between these two issues. Inthis research we used from classifications of the conditional and non conditionalconservatism and Zavgin bankruptcy prediction Model. Which just shows a spectrumof probability of bankruptcy instead of just expressing two cases?To investigate the relationship we used regression model. Based on financial dataof companies listed in Tehran Stock Exchange during the period of 2000 to 2009 (772year/ firm of observation), the research results indicate there is significant relationshipbetween conservatism and bankruptcy risk. In other words, the operations of firmsinclude conservative accounting to reduce bankruptcy risk. The finding is consistentwith other research and it could help both insiders and outsiders to decision making. Manuscript profile -
Open Access Article
49 - Investigating the Role of Negative Strengthening of Golem Effect Theory of the Impact of Halo's Bias on the Contradiction of Auditor's Judgment Desirability
Zohreh Tabesh Mohammadreza AbdoliToday science of auditing is evolving more than ever from traditional theories to more modern behavioral and perceptual theories, so that the recognition of auditors' professional functions can be inferred from internal processes. One of these theories is the Golem theo MoreToday science of auditing is evolving more than ever from traditional theories to more modern behavioral and perceptual theories, so that the recognition of auditors' professional functions can be inferred from internal processes. One of these theories is the Golem theory, a concept that can be based on reinforcing negative attitudes that can conflict with the auditor's expectations of professional characteristics and this, while reinforcing the level of error in the aura perception, leads to the formation of fanatical subjectivism and a contradiction in the desirability of judgment. The Purpose of this research is investigating the Role of Negative Strengthening of Golem Effect Theory of the Impact of Halo's Bias on the Contradiction of Auditor's Judgment Desirability. The tool for collecting research data from the questionnaire and its target population were auditors working in the auditing organization and auditing institutions of the private sector in 2017. In this study, in order to measure and adjust the suitability of the model and test the research hypotheses, partial least square analysis (PLS) was used. The test results of the research hypotheses confirmed that the halo's bias has a positive and significant effect on the contradiction of the desirability of the auditor's judgment. It was also found that the level of negative reinforcement of Golem's theory exacerbates the positive effect of the aura perception error on the contradiction of the desirability of the auditor's judgment. In fact, this conclusion shows that increasing the level of perceptual errors under the influence of individualistic prejudices, which is formed as a result of negative expectations, can affect the desirability of professional auditors' judgments within the framework of professional conduct and codified standards. And cause professional judgments to deviate from their original course. Manuscript profile -
Open Access Article
50 - Comparative between cost prediction using statistical methods and neural networks
امیر محمدزاده نسرین مهدی پور آرش محمدزادهPrediction of total cost of water helps the Isfahan municipality to optimize thewater usage in its 14 urban zone. The total cost of water, basically, depends ondifferent parameters. Generally, the analytically prediction of the total cost is verydifficult if not impossi MorePrediction of total cost of water helps the Isfahan municipality to optimize thewater usage in its 14 urban zone. The total cost of water, basically, depends ondifferent parameters. Generally, the analytically prediction of the total cost is verydifficult if not impossible. Thus, applying intelligent systems such as neural networkmodels can be a good alternative. In this paper, using multi-layer perceptron neuralnetwork and error back propagation algorithm, the total cost of municipal water in theIsfahan municipality is calculated based on parameters such as per capita populationand area of each urban zone. In this paper, a model for simulation and prediction ofthe annual total cost of water in Isfahan municipality is developed. The simulationmodel is developed using the regression and the neural network model is built usingdata from 2004 to 2009. Finally, the neural network method is selected as the mainsimulation method for forecasting the total cost of water in the 14 urban zones ofIsfahan. Manuscript profile -
Open Access Article
51 - Rehabilitation of Aquatic Ecosystems Based on environmental water rights upstream of Water Reservoirs with Inlet Flow Prediction Approach (Case Study: Taleghan Dam Basin)
Zahra Nafariyeh Mahdi Sarai Tabrizi Hossein Babazadeh Hamid Kardan MoghaddamLimited water resources and increased water demand in recent decades have caused irreparable damage to the country's water resources. One of the important components in surface water optimization and management is long-term and short-term river flow forecasts. The aim o MoreLimited water resources and increased water demand in recent decades have caused irreparable damage to the country's water resources. One of the important components in surface water optimization and management is long-term and short-term river flow forecasts. The aim of the present study is to compare the performance of two Bayesian BN network models with probabilistic approach and MLP neural network. Then selecting the best structural model for flow prediction is another goal of the present study. Monthly meteorological data including precipitation, monthly average temperature, evaporation and. Also, the volume of water transferred from five hydrometric stations entering the Taleghan Dam from 2006 to 2018 was introduced as input data to the models. and runoff to the dam was considered as predictable. Then, with the aim of estimating the best Prediction pattern structure, Input data with different layouts were introduced to the models. In the next step, using the hydrological method of Tennant, The environmental discharge was calculated And the probability of these discharges occurring in the registration data and seventeen patterns in the Easyfit software environment was calculated. Then comparing the selected pattern according to the probability of occurrence and the criteria of the index, Nash-Sutcliffe coefficient (NS), root mean square error (RMSE) and mean absolute prediction error (MAPE) was performed. The best model in BN model with 43.3% similarity and index criteria were estimated to be -3.98, 300, 17.3 and 0.06, respectively. MLP model with 80% similarity and index criteria were introduced as -10.3, 8266, 23.9 and 122.3 in the best model, respectively. As a result, both models performed well in runoff estimation, but comparing the environmental probabilities of the two models in the top five patterns, the BN model has an acceptable accuracy . The basin was also found to be at environmental risk. Manuscript profile -
Open Access Article
52 - Cultural Pathology Mobile Social Networks among Female Professionals Working in Tehran Municipality Restrict 1 in 2015
Faezeh Taghipour Sareh VelayatiThe purpose of this study is cultural pathology mobile social networks among female professionals working in Tehran municipality restrict 1 in 2015. This research given the nature is descriptive survey. Population included all female professionals working in Tehran muni MoreThe purpose of this study is cultural pathology mobile social networks among female professionals working in Tehran municipality restrict 1 in 2015. This research given the nature is descriptive survey. Population included all female professionals working in Tehran municipality restrict 1 in 2015, that equivalent to 600 people. According to Cochran formula, the sample size was 231 people. In this study, questionnaire was designed. To prove the validity of this study, the questionnaire has been consultant professors, then after final approved, the questionnaire were used. Reliability based on Cronbach's alpha of 0.8 was obtained for all aspects of higher inventory that is acceptable. Spss 22 software was used to analyze the information and to answer questions used mean compared test and T-test. Results shown that in the customs, family relationships reduction, in the value, reducing internal desire for success in the organization, in the beliefs, reduction of teamwork in the organization, and in the norms, electronic addiction, including cultural damages use of social networks. Also, there is no significant difference between the demographic characteristics Manuscript profile -
Open Access Article
53 - The Role of Individual, Family, and Social Factors in Determining Young People's Trends in Addiction
gholamreza tajbakhsh mohamad daneshfarThe present study was conducted to determine the role of individual, family and social factors in explaining the tendency of youth to addiction in the city of Qir. The statistical population of this study includes all young people (aged 18-29) in Bitter city. The sample MoreThe present study was conducted to determine the role of individual, family and social factors in explaining the tendency of youth to addiction in the city of Qir. The statistical population of this study includes all young people (aged 18-29) in Bitter city. The sample size derived from Cochran sample size formula, equal to 384 and sampling, multi-stage random cluster respectively. Survey method and data collection tool are standard questionnaire. In order to analyze the data, two-variable and multiple regression has been used. The findings showed that the average age of respondents was 22 years. 47% of respondents are girls and 53% are boys. The variables of socializing with inferior friends and enjoyment are effective factors in increasing the tendency of youth to addiction. Also, the desirable variables of family conditions and social transplantation are effective factors in reducing the tendency of youth to addiction. Keywords: social link, social intercourse with false friends, addiction tendency, active tendency, passive tendency Manuscript profile -
Open Access Article
54 - Identifying the most important psychological antecedents of Internet addiction based on a meta-analysis approach: evidence from internal studies
houshang garavand Mohammad Reza Nazari Considering the novelty of studies related to Internet addiction in Iran, the investigation andidentification of psychological factors predicting this phenomenon is evident as a research gap; Therefore, thepresent study was conducted with the aimed to identifying More Considering the novelty of studies related to Internet addiction in Iran, the investigation andidentification of psychological factors predicting this phenomenon is evident as a research gap; Therefore, thepresent study was conducted with the aimed to identifying the most important psychological antecedents ofInternet addiction through a meta-analytical research procedure. The method of conducting the research is aquantitative meta-analysis. In the process of systematic review, 195 articles were identified from 2002 to 2022,and by carefully studying the text of Persian articles by university professors and experts, 108 articles wereidentified. Life satisfaction (ES, -0.65), problem-oriented coping (ES, -0.45), difficulty in regulating emotions(ES, 0.45), interpersonal sensitivity (ES, 0.45), sensation seeking (ES, 42 0.0), feeling lonely (ES, 0.41),depression (ES, 0.39), anxiety (ES, 0.38), psychological capital (ES, -0.37), depression (ES, 0.36) , stress (ES,0.35) and emotional intelligence (ES, -0.35) were identified as the strongest antecedents, respectively. Due to theheterogeneity in the studies, studies with validity (ES, -0.15) had a larger effect size than studies withoutvalidation (ES, 0.06). Based on the results, the manner of using internet can be related to psychologicalcharacteristics of the internet users. It is expected that these findings not only improve the knowledge of thisfield, but also support protective factors and removing risky behaviors. Additionally, it can be used as a helpfultool in intervention programs in this field. Manuscript profile -
Open Access Article
55 - Social Causes of Divorce in Yazd Province in the Past Decade
Gholamabbas Tavassoli Ali Ghiasi Nodoushan -
Open Access Article
56 - A survey about the impact of addicted father on social growth of children aged 12 to 18 years in Dezful
Martine Xiberras Hoda Hallajzadeh -
Open Access Article
57 - Study of Efficacy of Various Methods of Addiction Treatment from View of Addicts
Tahereh Mirsardoo Mastooreh Sedaghat -
Open Access Article
58 - Social factors influencing on robbery in Iran (A case study of Tehran Railway Station: 2004-2006)
Alireza Kaldi Reza Vaziri Pak -
Open Access Article
59 - Change prediction of Karoon river lengths by using historical and quantitative geomorphologic data (From Shoshtar to Arvandrod)
Jafar Morshedi Seyed Kazam Alavi panahThe study area is a part of Karoon river located in Khuzestan province in southwestof Iran. The length of this reach is about 364 km from the north of Shoshtar to theArvandrod. The changes and local difference on the river reaches consider togeological, tectonicaly, hyd MoreThe study area is a part of Karoon river located in Khuzestan province in southwestof Iran. The length of this reach is about 364 km from the north of Shoshtar to theArvandrod. The changes and local difference on the river reaches consider togeological, tectonicaly, hydrological and artificial parameter in the dry flood plain ofKhuzestan has caused some damages, risks and hazards during the time. By recognizeof fluvial environment of Karoon River and determining the changes of the river,control of these hazards is possible. Because of morphometric characteristics study ofKaroon River, for changes prediction, with use of satellite images of IRS and land satin the years of 1991 and 2007, channel length of the river has drawn, measured andanalyzed by GIS software. so total length of Karoon consider to the number of theircurves(100 curve) divided to smaller limits and crossing point selected as upper andlower limits of each curves. Then geometric parameter of channel like radius ofcurvature, mean central point of each curve, curve direction and annual rate of channelmigration measured. The results show that the most risks belong to meanderingreaches. Therefore the land use and sensitive area of river to erosion spatially oncurves if dose not controlled. There are a lot of area like farms, roads, settlement,national fields and other mankind Struthers that will be destroyed. Manuscript profile -
Open Access Article
60 - Analysis of quantitative and economic indicators of housing and forecasting of population structure, housing prices and houses required till 1410 in Tehran
javad mahdianpoor hamidreza saremiIntroduction and Objectiv: the quality of the urban housing indicators is one of the indicators of the socio - economic development in the countries of the world.in developing countries, including Iran housing supply is one of the Acute issues, are due to the presence o MoreIntroduction and Objectiv: the quality of the urban housing indicators is one of the indicators of the socio - economic development in the countries of the world.in developing countries, including Iran housing supply is one of the Acute issues, are due to the presence of the defects in the planning of Housing and also increase urbanization rapidly. Over the decades, the changes in the city of Tehran have made it important for housing planning. The purpose of this article is to analyze Indicators of the quantitative and economic housing. Method: The method used in this research is based on objective, applied and based on data collection, descriptive and analytical - quantitative. The library and documentation method were used to collect information. Finally, the prediction of population structure (exponential method), housing needs (aggregation and index methods) and housing prices (Arima method) have been addressed in three minimum, average and maximum scenarios. Findings:The research findings indicate that the population of Tehran will reach from 8537000 to 9734000 by 1410 And will require 2863,000 to 3534,000 residential units. It is also expected that the average price per square meter of housing will reach 6.4 to 6.8 million tomans. Conclusion:Housing Analysis in Tehran shows that quantitative indicators of housing have improved and economic indicators of housing have declined. And for the future of Tehran, a scenario with at least population growth and the scenario of maximum housing prices seems more likely. Manuscript profile -
Open Access Article
61 - A Study on the Financial Performance of Companies Using Data Envelopment Analysis Model and Zemijsky's Model and a Comparison of their Results
Akbar rahimipoor masomeh tadress hasani -
Open Access Article
62 - The performance of the maximum entropy algorithm and geographic information system in shallow landslide susceptibility assessment
Faezeh Rajabzadeh saeed ghiasi omid RahmatiShallow landslide is one of the natural hazards that damage life and property of people in mountainous watershed. Due to the fact that a lot of landslides events have been occurred in this watershed, assessment the risk of shallow landslides by using appropriate methods MoreShallow landslide is one of the natural hazards that damage life and property of people in mountainous watershed. Due to the fact that a lot of landslides events have been occurred in this watershed, assessment the risk of shallow landslides by using appropriate methods and determine of effective factors in reduce the hazards of it is so effective. The potential of using maximum entropy modeling for landslide susceptibility mapping is investigated. In the case study of west of Ardabil province, 74 landslide occurrences were identified, 52 landslides (70%) used for training and the 22 landslides (30%) applied for validation purpose. environmental factors including continuous (altitude, slope, aspect, plan curvature, drainage density, and rainfall) and categorical (lithology and landuse) data were used as inputs for modeling. From the optimal setting test based on cross-validation, a continuous data and its combination with categorical data showed the best predictive performance. The results of validation showed that the ROC and AUC for success and prediction rate of model was 96.1 and 97.6%, respectively. Factor contribution analysis indicated that altitude and rainfall layers were the most influential factors. From interpretations on a response curve, steeply sloping areas that consisted of excessively covered with old alluvial terrace soils were very susceptible to landslides. Predictive performance of maximum entropy modeling was slightly better than that other models like of a logistic regression which has been used widely to assess landslide susceptibility. Therefore, Maximum entropy modeling is shown to be an effective prediction model for landslide susceptibility mapping. Manuscript profile -
Open Access Article
63 - Estimation of Inflow to Urmia Lake Using Time Series and Basin's Future Simulation Modeling in Two Long and Short Term Scenarios
اردلان شریف نسب Mojtaba ShourianThe Urmia Lake is the largest and the most important internal lake in Iran and is one of the most valuable international hemispherical resources in the world. But the Lake has been gradually getting dried nowadays. If the Lake gets completely dried, irreparable environm MoreThe Urmia Lake is the largest and the most important internal lake in Iran and is one of the most valuable international hemispherical resources in the world. But the Lake has been gradually getting dried nowadays. If the Lake gets completely dried, irreparable environmental, economical and social damages would be appeared in the region. So, finding a practical solution for surviving the Urmia Lake is crucial. In the present research, it has been tried to predict the inflows of the rivers leading to the Urmia Lake, once based on the long term period’s recorded data and another time based on the recent dry period’s recorded data, by using autoregressive moving average (ARMA) time series models in order to exert the effects of the recent drought in the forecasted data. The ARMA models are developed in the MATLAB soft ware. After calibration of the created models, the predicted discharges of the basin’s rivers were entered into the simulation model of MODSIM in order to estimate the water consumptions in the basin's future condition and finally the entering flows to the Urmia Lake in each of two forecasting scenarios. Results show that in each of two forecasting scenarios of long and short periods, the environmental water right of the lake wouldn’t be supplied totally. Also, if the agricultural water consumptions would get reduced about 14% and 56% in long and short periods respectively, the lake’s water right would be supplied completely. Manuscript profile -
Open Access Article
64 - Prediction of SPI drought index using support vector and multiple linear regressions
Saeed Samadianfard اسماعیل اسدیDrought is a natural phenomenon, which has a complex mechanism as a result of interactions of meteorological parameters and usually occurs in all climates. So, predicting drought indices and their chronological evaluation is an effective way for the drought management a MoreDrought is a natural phenomenon, which has a complex mechanism as a result of interactions of meteorological parameters and usually occurs in all climates. So, predicting drought indices and their chronological evaluation is an effective way for the drought management and adaptation with its consequences. In the current research, prediction of drought indices are carried out for Tabriz synoptic station, using support vector regression, multiple linear regression and standard precipitation index (SPI) for the time period of 1979 to 2012. In this regard, for predicting SPI indices in the periods of 3, 6, 9, 12, 24 and 48 months, six different input combinations including the antecedent correspondent values of the mentioned index have been utilized. The results of statistical analysis showed that both methods had significant accuracy. Nonetheless, the support vector regressions for predicting SPI-6, SPI-9 and SPI-24 had better performances, regarding the root mean squared errors of 0.4985, 0.4340 and 0.2427, respectively. However, the multiple linear regressions showed lower relative errors, for predicting SPI-3, SPI-12 and SPI-48. Meanwhile, it can be concluded that both examined methods including support vector and multiple linear regressions had acceptable predictions of drought index and can be used with an admissible confidentiality for the management of drought consequences. Manuscript profile -
Open Access Article
65 - Autoregressive simulation of Zarrinehrud river basin runoff using Procrustes analysis method and artificial neural network and support vector machine models
بهروز سبحانی Mohammad Isazadeh منیر شیرزادRivers flow prediction in river basins has an important role in the operation and correct management of water resources. Determining type and number of estimator models inputs is one of the important steps in rivers flow prediction. Therefore, The Procrustes analysis (P MoreRivers flow prediction in river basins has an important role in the operation and correct management of water resources. Determining type and number of estimator models inputs is one of the important steps in rivers flow prediction. Therefore, The Procrustes analysis (PA) method for determining the number of effective inputs was used. In this study, flow prediction was done using the flow data obtained from the Safakhaneh and Santeh hydrometric stations. The Artificial Neural Network (ANN) and The Support Vector Machine (SVM) models was used for flow prediction. The best estimation of flow is done using the MLP and SVM models in Safakhaneh hydrometric station with RMSE equal to 5.68 (m3/s) and 4.85 (m3/s), respectively, and CC equal to 0.73 and 0.78, respectively. While in Santeh hydrometric station RMSE was equal to 6.44 (m3/s) and 6.36 (m3/s) respectively, and CC was equal to 0.78 and 0.79 respectively for MLP and SVM models. PA-SVM model showed better results than SVM model in estimating Safakhaneh hydrometric stations flow with RMSE equal to 5.45 (m3/s) and CC equal to 0.73 during the test period. The results also indicated that SVM and PA-SVM models estimated the flow of Santeh station with RMSE equal to 6.85 (m3/s) and 7.03 (m3/s) respectively. Basically, results indicated that the Procrustes analysis method can be used as one of the Efficient and suitable methods for determining the number of effective inputs. Comparison of the ANN and SVM results indicated that ANN model has more accuracy than SVM model. Manuscript profile -
Open Access Article
66 - Assessing the Performance of WRF Model in Prediction of Evapotranspiration in Paddy Fields
Ebrahim Asadi Oskouei Mohammadreza Mohammadpour Penchah Leila Goodarzi Mojtaba ShokouhiBackground and Aim: Evapotranspiration as one of the main components of the hydrological cycle, has a significant role in proper irrigation planning and water resources management. In this case, estimating evapotranspiration is limited due to a lack of data and a defici MoreBackground and Aim: Evapotranspiration as one of the main components of the hydrological cycle, has a significant role in proper irrigation planning and water resources management. In this case, estimating evapotranspiration is limited due to a lack of data and a deficiency of meteorological stations. Therefore, today numerical models such as WRF are a powerful tool for generating and predicting meteorological quantities (wind speed, humidity, etc.) that are needed to estimate evapotranspiration. So far, no research has been conducted to investigate the effect of different schemes of the WRF model on the estimate of rice evapotranspiration. The purpose of this study is to evaluate the efficiency of the WRF model and obtain the result for estimating evaporation for rice plant in the central plain of Guilan.Method: Evapotranspiration rates vary from 2.7 to 8.5 mm per day. The average ET during three different periods of plant growth, including the initial, middle, and final periods, is estimated to be 4.63, 5.97, and 5.98 mm per day, respectively. The three configurations 1, 2, and 4 are mainly overestimated in predicting evapotranspiration of rice plants, and the computational values are estimated to be higher than the values measured by the lysimeter. The results show that the highest amount of RMSE occurred in configuration No. 4 at 8.47 and the lowest rate occurred in configuration No. 3 at 1.26. Summary of results shows that configuration No. 3 in all four criteria mentioned has performed better than other configurations to predict daily evapotranspiration of rice. The results showed that the non-local schema used in the model, simulates better than the local schemas for the daily evapotranspiration of the rice plant. Findings show that in the local YSU schema, the accuracy of predictions is significantly increased and is only 0.64 mm on average less than the estimated lysimetric data.Results: The results showed that using appropriate schemas in the surface layer and boundary layer of the WRF model, affects on accuracy of evapotranspiration predictions. The results of this study showed that, this model by using the YSU non-local boundary layer scheme can accurately predict the evapotranspiration rates of the rice plant for the next day and this is due to the higher ability of this schema in predicting the parameters affecting evapotranspiration (including temperature and wind). Therefore, the WRF model can be implemented by using GFS forecast data for the next few days and by applying the FAO-Penman-Monteith equations to the model outputs, the values of potential evapotranspiration for different regions of the country can be calculated. Since evapotranspiration is directly related to atmospheric thermodynamic processes, so using other different atmospheric physics schemas (not considered in this study) can produce different results. Manuscript profile -
Open Access Article
67 - Rainfall-Runoff modeling using Deep Learning model (Case Study: Galikesh Watershed)
Razieh Tatar Khalil Ghorbani mehdi Meftah halghi meysam salarijaziArtificial neural networks (ANN) are one of the data mining methods applied by many researchers in different fields of studies such as rainfall runoff modeling. To improve the performance of these networks, deep learning neural networks were developed to increase modeli MoreArtificial neural networks (ANN) are one of the data mining methods applied by many researchers in different fields of studies such as rainfall runoff modeling. To improve the performance of these networks, deep learning neural networks were developed to increase modeling accuracy. This study evaluated deep learning networks to improve the performance of artificial neural networks in Galikesh watershed and to predict discharge for 1, 3, 6 and 12-month time scale based on 1 to 5 month time scale lags made in precipitation and temperature data. Based on 70% and 30% of the data used for training and test respectively the results demonstrated that in all time steps, the deep learning neural network improved the performance of artificial neural network and on average RMSE decreased in both training and test from 0.68 to 0.65 and 0.84 to 0.73 respectively. Moreover, R-square was increased on average from 0.57 to 0.62 and 0.51 to 0.67 respectively in training and test. We can also denote the effect of temperature on the increase of accuracy of rainfall-runoff modeling. Manuscript profile -
Open Access Article
68 - Drought Prediction Using North American Multi-Model Ensemble (NMME) Over Western Regions of Iran
Mehdi Moghasemi Narges Zohrabi Hossein Fathian Alireza Nikbakht Shahbazi Mohammadreza YeganegiBackground and Aim: Drought as a natural hazard significantly impacts various sectors such as agriculture and water resources and causes considerable damage to these sectors worldwide. Therefore, adaptation strategies should be taken to reduce drought damage, and in the MoreBackground and Aim: Drought as a natural hazard significantly impacts various sectors such as agriculture and water resources and causes considerable damage to these sectors worldwide. Therefore, adaptation strategies should be taken to reduce drought damage, and in the meantime, planning and adaptation to drought conditions using drought forecasting is one of the most effective strategies. Due to the need for drought forecasting and the limited studies that evaluated drought indicators obtained from the rainfall forecast output from the North American Multi-Model Ensemble (NMME) in Iran. This study evaluated these models in four catchments of Karkheh, Karun, Heleh, and Hindijan-Jarahi for1982-2018.Method: In this study, the monthly output of different NMME ensembles were evaluated in the forecast leads of 0 to 9 months from 1982 to 2018, the SPI drought index was calculated. Comparison of these data with GPCC data was used for evaluation. Three quantitative criteria, including correlation coefficient, RMSE, and BIAS, were used for evaluation. Also, to integrate the existing models, two methods: a: Arithmetic mean between the existing models and B: Weighted average between the models have been evaluated by considering the correlation coefficient (CC) results. Also, two criteria (i.e., POD and FAR) and the quantitative statistical criterion (i.e., correlation coefficient) were used to evaluate the SPI drought index.Results: The results of the precipitation evaluation of the models showed that the integrated models have better performance than the individual models. In this integrated model, the weighted model also had better performance. Evaluation of spatial distribution of precipitation models also showed the excellent performance of NMME models in Karun and Hindijan-Jarahi catchments in the zero-month forecast lead and Hindijan-Jarahi catchments in the one-month forecast lead. The results of drought index evaluation showed that integrated models, although having better performance in precipitation forecasting, but in drought forecasting, the best performance belongs to NASA-GMAO-062012 and CFSv2 models. The results also showed that drought index forecasts in three and six-month periods have better performance than one month. Spatial distribution evaluation also showed that the models perform better in the southern basins. In general, it can be concluded that NMME models have good performance in predicting drought in some places and specific forecast leads, so they should be evaluated at each point before use.Conclusion: The results of precipitation evaluation showed that, in general, integrating the output of dynamic models increases its proficiency, and integration in weighted mode (WeightedNMME) performs better than the non-weighted model (NMME). According to the zero-month forecast among individual models, the NASA-GMAO-062012 model has the most skills in terms of the correlation coefficient. However, in the one-month forecast lead in terms of the correlation coefficient, RMSE and BIAS, the best performance belongs to the CFSv2 model. Evaluation of drought indices showed that the model's performance could be different from their performance in predicting rainfall. WeightedNMME, for example, performed well in NASA-GMAO-062012 and CFSv2 months, although they performed well in predicting drought. The spatial evaluation also showed that the southern catchments perform better than other basins. Manuscript profile -
Open Access Article
69 - Uncertainty Evaluation due to TIGGE Global System Precipitation Data for Flood Forecasting
Soudabeh Behiyan Motlagh Afshin Honarbakhsh Asghar AzizianBackground and Aim: The occurrence of frequent floods in Iran necessitates a flood forecasting and warning system with a suitable lead time. The use of numerical rainfall forecasting models in flood forecasting and warning is one of the important measures taken by resea MoreBackground and Aim: The occurrence of frequent floods in Iran necessitates a flood forecasting and warning system with a suitable lead time. The use of numerical rainfall forecasting models in flood forecasting and warning is one of the important measures taken by researchers in most parts of the world. The TIGGE database includes mid-term precipitation forecasts simulated by global forecast centers. The purpose of this research is to evaluate the efficiency and the degree of uncertainty caused by the rainfall forecasts of four numerical models of the TIGGE database (including CPTEC, ECCC, ECMWF, and KMA) for simulating floods with the HEC-HMS hydrological model.Methods: In this research, the precipitation data of seven meteorological stations were used to evaluate the uncertainty of discharge from TIGGE database precipitation prediction models in the Poldokhtar watershed. Also, three flood events on March 24, 2017, April 6, 2018, and April 15, 2018, were studied. At first, precipitation forecasts were extracted from four centers CPTEC, ECCC, ECMWF, and KMA. Due to the existence of systematic error in the forecasts, a bias correction was done on them, and to correct the bias, the Delta method was used. Processed and raw forecasts of four rainfall forecasting models were entered into the HEC-HMS model for flood forecasting, and in the next step, the flow uncertainty assessment of the HEC-HMS model was performed in all members of the four rainfall forecasting models. In this research, 5 factors P, R, S, T, and RD were used for uncertainty analysis.Results: The results indicate the significant superiority of the ECMWF model in predicting precipitation events. The use of all 4 rainfall sources led to an acceptable simulation of the flood peak flow in three different events. Also, the predicted peak discharge time had little difference from the observed data. According to the results of the uncertainty analysis, the ECMWF model was considered the best model based on P, R, S, T, and RD factors. The KMA model performed well in severe and very severe floods. The group prediction system of TIGGE models also had an acceptable performance in all events. Also, the hydrological-meteorological prediction model predicted the time of flood occurrence and the probability of occurrence well.Conclusion: The intended research investigates flood forecasting and warning in the Poldokhtar watershed using the meteorological-hydrological system, based on meteorological forecasts of the TIGGE database and flood simulation using the HEC-HMS hydrological model. The final product of this system is probable discharge and flood forecast. The results reveal the success of the TIGGE database in flood forecasting. The ECMWF model excelled in predicting peak discharge. The upper and lower band calculation method was used to determine the uncertainty, which showed the uncertainty well. This system displayed the time of peak discharge well and with a small time delay, which indicates its good performance. The predicted rainfall from the four centers used in this study (ECMWF, ECCC, CPTEC, and KMA) have significant differences. To reduce these differences, we used a multi-model group forecasting system that had encouraging results. Manuscript profile -
Open Access Article
70 - Comparison of Data Mining Models Performance in Rainfall Prediction Using Classification Approach (Case Study: Hamedan Airport Synoptic Weather Station)
Morteza Salehi Sarbijan Hamidreza DezfoulianBackground and Aim: Rainfall is one of the complex natural phenomena and one of the most crucial component of the water cycle, playing a significant role in assessing the climatic characteristics of each region. Understanding the amount and trends of rainfall changes is MoreBackground and Aim: Rainfall is one of the complex natural phenomena and one of the most crucial component of the water cycle, playing a significant role in assessing the climatic characteristics of each region. Understanding the amount and trends of rainfall changes is essential for effective management and more precise planning in agricultural, economic, and social sectors, as well as for studies related to runoff, droughts, groundwater status, and floods. Additionally, rainfall prediction in urban areas has a significant impact on traffic control, sewage flow, and construction activities. Method: The objective of this study is to compare the accuracy of classification models, including Chi-squared Automatic Interaction Detector (CHAID), C5 decision tree, Naive Bayes (NB), Quest tree, and Random Forest, k-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Artificial Neural Network (ANN) in predicting rainfall occurrence using 50 years of data from the synoptic station at Hamedan Airport. In this study, 80% of the data is used for training the models, and 20% for model validation and the results obtained from the model executions are compared using metrics such as confusion matrix, Receiver Operating Characteristic (ROC) curve, and the Area Under the Curve (AUC) index. To create the classification variable for rainfall and non-rainfall data, based on rainfall data, the days of the year are categorized into two classes: days with rainfall (y) and days without rainfall (n). Data preprocessing is performed using Automatic Data Preprocessing (ADP). Then, Principal Component Analysis (PCA) is employed to reduce the dimensions of the variables. Results: In this study, the PCA method reduces the dimensions of the variables to 5. Also, approximately 80% of the available data corresponds to rainless days, while 20% corresponds to rainy days. The research results indicated that the KNN model with an accuracy of 91.9% for training data and the SVM model with 89.13% for test data exhibit the best performance among the data mining models. The AUC index for the KNN model is 0.967 for training data and 0.935 for test data, while for the SVM algorithm, it is 0.967 for training data and 0.935 for test data. According to the ROC curve for Hamedan rainfall data, the KNN model outperforms other models. Considering the sensitivity index in the confusion matrix, the KNN and SVM models perform better in predicting non-rainfall occurrence for training data. In terms of the precipitation occurrence prediction, the RT and KNN models show better results according to the specificity index. Conclusion: The results demonstrated that for the RT, C5, ANN, SVM, BN, KNN, CHAID, QUEST, accuracy metrics was obtained 86.82%, 89.78%, 89.55%, 89.96%, 88.06%, 91.9%, 88.29%, 87.46%, 91.9%, respectively for training data. Moreover, for test data, the accuracy metrics for this model was obtained 83.82%, 87.9%, 88.12%, 89.13%, 87.12%, 89.13%, 87.12%, 88.19%, 86.93%, 86.76%, respectively. The AUC index in the training data for RT, C5, ANN, SVM, BN, KNN, CHAID QUEST models was 0.94%, 0.99%, 0.94%, 0.94%, 0.93%, 0.97%, 0.93%, 0.89%, respectively. In addition, for the test data, this metric was evaluated 0.89%, 0.89%, 0.93%, 0.94%, 0.92%, 0.90%, 0.92%, 0.88% respectively. As observed, considering accuracy metric and AUC index for training data KNN model and for test data SVM model were more sufficient in rainfall prediction. Manuscript profile -
Open Access Article
71 - Prediction Impact of Climate Change on the Temperature & Precipitation by General Circulation Model, a Strategy for Sustainable Agriculture: (Case of Kermanshah Township)
Samireh Seymohammadi Mohsen Tavakoli Kiumars Zarafshani Hossien Mahdizadeh Farzad AmiriBackground and Objectives: Concern about climate change and its effects on various aspects of human life in general and agricultural production in particular is growing. Therefore, the main purpose of this study is to assess and predict of climate change induced tempera MoreBackground and Objectives: Concern about climate change and its effects on various aspects of human life in general and agricultural production in particular is growing. Therefore, the main purpose of this study is to assess and predict of climate change induced temperature and precipitation of Kermanshah township.Method: The calibration and validation of the HadCM3 model was performed 1961-2001 of daily temperature and precipitation. The data on temperature and precipitation from 1961 to 1990 were used for calibration whereas data from 1991 to 2001 were used for model validation. SDSM version 4.2 as a downscaling model used to downscale general circulation models to station scales. Findings: The least difference between observed data and simulation data during calibration and validation showed that the parameter was precisely modeled for most of the year. This study under A2 scenario, three time periods (2020, 2050, 2080) were simulated. Discussion and Conclusion: According to our simulated model, precipitation showed a decreasing trend whereas temperature showed an increasing trend. The result of this study can also be used as an optimal model for land allocation in agriculture. Manuscript profile -
Open Access Article
72 - Surveying and Predicting Surface Currents of Khuzestan Province Using Time Series Models
Alireza Entezari Rasoul SarvestanThe purpose of this study was to study the surface currents of Khuzestan province and its prediction for the period (2019Background and Objective: The present study is to evaluate the surface currents of Khuzestan province and its forecast for the period 2019 to 2021 us MoreThe purpose of this study was to study the surface currents of Khuzestan province and its prediction for the period (2019Background and Objective: The present study is to evaluate the surface currents of Khuzestan province and its forecast for the period 2019 to 2021 using time series models.Material & Methodlogy: The present study was conducted in 9 selected stations from Khuzestan province in order to compare the accuracy of the time series model and predict the amount of surface currents. For this purpose, the monthly flow data of the hydrometric station for 22 years (1391-2014) has been used. The multiplicative seasonal time series model of surface currents was investigated and the best model was fitted. Findings: The results of these studies show that the best models fitted in SARIMA (1,1,1) (1,0,1), SARIMA, SARIMA (0,1,1) (1,0,1), telephoto SARIMA, Primate (1,0,1) (1,1,1) SARIMA, Dezful (1,0,2) (1,1,1) SARIMA, Plain SARIMA, Dokehe (0,2,2) (1,1,1) SARIMA, Gotvand (1,1,2) (1,0,1) SARIMA (1,1,1) And SARAB (1.1.2) (2.1.1), which had good accuracy to predict surface currents.Discussion and Conclusion: Surveying the annual prediction of surface currents for 2019 to 2029 showed that surface currents in all selected stations decreased and this decrease in Ahwaz station to the highest and the two-hill station to the lowest values reaches to 9.78 and 0/58 respectively; also, the monthly forecast showed that in December, with 6/98 and 1/67, the highest and lowest decreases would occur. Manuscript profile -
Open Access Article
73 - Prediction of Carbon Monoxide Concentration in Tehran using Artificial Neural Networks
Hamid Reza Jeddi Rahim Ali Abbaspour Mina Khalesian Seyed Kazem AlavipanahBackground and Objective: Nowadays, air pollution is one of the most important problems almost all over the world. There are many strategies to control and reduce air pollution, one of which is prediction of this event and getting ready to deal with the negative effects MoreBackground and Objective: Nowadays, air pollution is one of the most important problems almost all over the world. There are many strategies to control and reduce air pollution, one of which is prediction of this event and getting ready to deal with the negative effects of it. The aim of this study is to provide a multi-layer structure of artificial neural networks (ANN) for predicting of carbon monoxide pollution at subsequent 24 hours in Tehran metropolis. Method: To predict the amount of CO emissions in near future (subsequent 24 hours), wind speed and direction, temperature, relative humidity, and barometric pressure characteristics are used as meteorological data, and concentration of carbon monoxide is considered as a pollution parameter. To eliminate the noise of data, wavelets transform method and determining the threshold with normal distribution are used before training the ANN. Finally, two neural networks as two general models are proposed and used for modelling. Findings: The results show that the correlation coefficient, index of agreement, accuracy of prediction, and root mean square error for model no. 1 with duplicate data are 0.9012, 0.915, 0.848, and 0.1012 and for model no. 2 with duplicate data are 0.9572, 0.978, 0.963, and 0.0385 respectively. Moreover, the results of listed parameters for model no. 1 with new data are 0.9086, 0.89, 0.885, and 0.0825 and for model No. 2 with new data are 0.8678, 0.928, 0.932, and 0.1163 respectively. Conclusion: Results showed that there is a good agreement between predicted and observed values, hence the proposed models have a high potential for air pollution prediction. Manuscript profile -
Open Access Article
74 - Using dynamic recurrent neural network NAR for predicting monoxide carbon concentration
Mehrdad Rafiepour Ali Asghar Alesheikh Abbas Alimohammad Abolghasem Sadeghi NiarakiBackground and Objective: Air pollution is one of the most important problems in big cities. One of the goals of urban managers is their awareness on air pollution in the future. For prediction of air quality, air pollutant must be modeled first. Carbon monoxide is one MoreBackground and Objective: Air pollution is one of the most important problems in big cities. One of the goals of urban managers is their awareness on air pollution in the future. For prediction of air quality, air pollutant must be modeled first. Carbon monoxide is one of the most toxic air pollutants that has harmful effect on human health. Method: In this paper, modeling carbon monoxide concentration and 24-h prediction by ARMA and NAR neural network have been studied. Then, the results of the two methods are compared. For this purpose, data is collected on 29 November until 31 December 2009 in Azadi air quality monitoring station: belonged to Tehran department of environment. Findings: The results of the two methods showed that, NAR is more accurate than ARMA for modeling and prediction of carbon monoxide. NAR neural network had MSE=1.6 and a correlation coefficient of 0.84 while ARMA had MSE=5.46 and correlation coefficient=0.72 for 24 hours prediction. Discussion and Conclusion: Finally, the predicted values can be used and published in internet for public awareness. Also urban managers can use the results of modeling and prediction for a better management. Result of this paper showed NAR neural network has sufficient ability to model and predict time series of monoxide carbon Manuscript profile -
Open Access Article
75 - Structural modeling of the precondition of financial behavior of investors in Iran’s stock market
Fatemeh Ahmady Mehrdad Ghanbari babak Jamshidinavid Shahram MamiThis study followed the design of a model to predict the financial behavior of investors in the Iranian stock market. Qualitative content analysis of scientific texts related to the research topic was used to identify the criteria. Interactive matrix and based on expert MoreThis study followed the design of a model to predict the financial behavior of investors in the Iranian stock market. Qualitative content analysis of scientific texts related to the research topic was used to identify the criteria. Interactive matrix and based on expert opinion based on interpretive structural modeling method was developed and a five-level model was obtained. To determine the type of variables, the MicMac analysis was used. In the five-level model of this study the variables of informal news, investor financial conditions, subjective financial knowledge, and herd behavior at the fifth level were the most influential and believable, personal judgment, emotion control, and loss aversion were the most influential variables of this model at level one of this model, were affected. MicMac analysis also indicated that the variables of informal news, subjective financial knowledge, investor financial conditions, self-esteem, and herd behavior were independent, and the variables of avoidance, believability, financial technology, emotional control, personal judgment, and financial specialties are also type dependent and other variables are interface type. Manuscript profile -
Open Access Article
76 - Application of Genetic Algorithm, Particle Swarm and Artificial Neural Networks in Predicting Profit Manipulation
Morteza Hoseinalinezhad Seyed Mohamad Hassan Hashemi Kucheksarai Ali JafariProfit management has been one of the most controversial topics in recent research. Most research on earnings management has examined the linear relationship between independent variables and earnings management using statistical methods but they did not use these varia MoreProfit management has been one of the most controversial topics in recent research. Most research on earnings management has examined the linear relationship between independent variables and earnings management using statistical methods but they did not use these variables to predict earnings management. Today, with the growth of information technology and the introduction of artificial intelligence, including artificial neural networks into the field of scientific research, it has become possible to study nonlinear relationships between variables. In this study, an attempt was made to estimate optional accruals for predicting earnings management using artificial neural networks. Also in this research, the genetic algorithm optimizer model and Particle swarm has been used to optimize the weights of the artificial neural network model to enhance the predictive power. Then, the ability to predict profit management was evaluated using the modified Jones statistical model, artificial neural network and the combined technique of genetic algorithm, Particle swarm and neural network. The sample used in this study included 150 companies listed on the Tehran Stock Exchange between 2015 and 2020. Findings showed that the artificial neural network has a high ability to predict profit management, compared to the modified Jones linear model. The findings also indicate that the accuracy and ability of the combined model of genetic algorithm, particle swarm and neural network in predicting profit management is higher than the combined model of genetic algorithm-artificial neural network. Manuscript profile -
Open Access Article
77 - Designing a model for forecasting the return of the stock index (with emphasis on neural network combined models and long-term memory models)
Reza Najarzadeh Mehdi Zolfaghari Samad GolamiThis study presents the new hybrid network of GARCH family and an artificial neural network to predict the Tehran Stock Exchange index during the period of 2008-2017. The existence of long-term memory in the conditional variance of the Tehran stock returns causes use in MoreThis study presents the new hybrid network of GARCH family and an artificial neural network to predict the Tehran Stock Exchange index during the period of 2008-2017. The existence of long-term memory in the conditional variance of the Tehran stock returns causes use in addition GARCH and EGARCH models with short- memory, long-term memory models. In addition to long-term memory models, considering the better performance of hybrid models in predicting financial data of the Garch family models (short and long-term) are combined with the artificial neural network. Using hybrid models the return of stock index was forecast for the next 10 days and its accuracy was evaluated using the evaluation criteria. The results showed that the hybrid FIEGARCH with the student-t distribution model was more efficient in forecasting return of stock and had a lower forecast error than others models Manuscript profile -
Open Access Article
78 - Investigate the Effect of Prediction Profit Reporting Tone on Investors' Reactions and Performance Prediction
mahmoud toorchi Mahmoud Lari Dashtebayaz Mohammad Reza RazdarIn recent years, the analysis of various aspects of qualitative information on financial reports is one of the important tools for decision making by investors and other capital market users. The purpose of this study, was to investigate The effect of the earnings forec MoreIn recent years, the analysis of various aspects of qualitative information on financial reports is one of the important tools for decision making by investors and other capital market users. The purpose of this study, was to investigate The effect of the earnings forecast report tone on investor response and performance prediction. To investigate this issue, the present study uses 140 years- company listed companies at Tehran Stock Exchange between 2011 and 2017. In order to test the hypotheses of the research, multiple regression and logistic regression were used. The research findings suggest that earnings forecast report tone is not a suitable tool for investors and other users to predict future earnings and future cash flows (future performance). Also, no significant relationship was found between the earnings forecast report tone with some of the incremental (decreasing) criteria of managers' understanding to manage the report tone, such as renewing the presentation of profits and realizing the near real. In other words, the earnings forecast report tone does not have any effect on the perception and awareness of the investors. Manuscript profile -
Open Access Article
79 - A Model to Predict Bankruptcy using the Mechanisms of Corporate Governance and financial ratios
ghazaleh Alibabaee Hamed KhanmohammadiImproving the economic and business environment is the most important factor in preventing bankruptcy, therefor, Artificial intelligence uses to predict the bankruptcy of companies in the future. In this study, companies in the Tehran Stock Exchange over a period of 10 MoreImproving the economic and business environment is the most important factor in preventing bankruptcy, therefor, Artificial intelligence uses to predict the bankruptcy of companies in the future. In this study, companies in the Tehran Stock Exchange over a period of 10 years in terms of bankruptcy localized model of Kurdistani-Tatli based on the Altman model were examined and companies were identified as bankrupt and healthy. Research data were collected, categorized and refined using secondary data extracted from financial statements and through the database of the Exchange Organization and the Central Bank.The models used to evaluate the data and predict the bankruptcy of companies are artificial intelligence models . Artificial neural network, combination of neural network and genetic algorithm and the K-nearest neighbor method has been used. They were also compared in terms of prediction accuracy. The output of the models indicates that the addition of corporate governance indicators to the financial ratios indicators has not improved the results. Therefore, financial ratios alone are sufficient for predicting and determining bankruptcy. The proposed model of this research based on accuracy is a combined model of neural network and genetic algorithm that has the highest accuracy. Genetic algorithm improves the optimal results of the neural network and provides a more optimal answer. Manuscript profile -
Open Access Article
80 - Predicting Network linkages of banking system distress based on operational risks and behavioral finance components
ahmad bidi Fraydoon Rahnamay Roodposhti Gholam Reza Gholami Jamkarani HAMIDREZA KORDLOUIE Mortaza Baky HasueeThe present research is aimed at prediction of network linkages of banking system distress based on operational risks and behavioral finance approach. Methodology of the present research is of survey descriptive, practical from the purpose standpoint. Notably, in order MoreThe present research is aimed at prediction of network linkages of banking system distress based on operational risks and behavioral finance approach. Methodology of the present research is of survey descriptive, practical from the purpose standpoint. Notably, in order to reach this purpose, firstly, based on study and review of theoretical basics, research variables were introduced. Then, by making use of Krejcie and Morgan Table, 384 participants were selected, and upon distribution of questionnaire among the aforesaid, research data were collected. Furthermore, in order for analysis of data and estimation of research empirical models, the researcher used structural equation modeling (SEM) and Smart PLS software. Of note, findings of this research indicate that behavioral financial standpoints and operational risk have significant effects on prediction of banking network disorder. Furthermore, based on estimated beta coefficients, among behavioral financial elements, economic behavior, cognitive standpoint, judgment biases, heuristic behaviors, decision making biases and value and return of stocks have respectively the highest effect on banking disorder, and among operational risk elements, human resources risk, systemic risk, transaction risk, technology risk and fraudulent and deception risk have respectively the highest effect on banking disorder. Manuscript profile -
Open Access Article
81 - An Optimization of Moving Average Stock Price in Tehran Stock Exchange: Meta-heuristic approach Adaptive Improved Genetic Algorithm
Mahboobeh Asghartabar ledari Ahmad Jafari SamimiPredict the stock price is an important topic in financial markets. Is commonly use of technical tools in this area and one of them most functional, are moving averages. The use of two moving averages, the most common method to predict trends, which is in need of two pe MorePredict the stock price is an important topic in financial markets. Is commonly use of technical tools in this area and one of them most functional, are moving averages. The use of two moving averages, the most common method to predict trends, which is in need of two periods. The optimal lengths for both short-term and long-term period for each stock, according to a recent trend, they are different. Find the optimal lengths with traditional methods of costly and often do not reach the global optimal answer. The perfect solution are using of smart tools such as genetic algorithms. Genetic algorithm have been used in this study, is Adaptive Improved Genetic Algorithm that much faster finds a global optimal answer. In this study, data's of the selected companies in diverse industries in Tehran Stock Exchange from April 2011 to March 2016 have been evaluated. The results show, when the algorithm reaches the optimal time period, which its parameters are correctly set. Manuscript profile -
Open Access Article
82 - ARIMA and ARFIMA Prediction of Persian Gulf Gas-Oil F.O.B
H. Amadeh A. Amini F. EffatiGas-oil is one of the most important energy carriers and the changes in its prices could have significant effects in economic decisions. The price of this carrier should not be more than 90 percent of F.O.B price of Persian Gulf, legislated in subsidizes regulation law MoreGas-oil is one of the most important energy carriers and the changes in its prices could have significant effects in economic decisions. The price of this carrier should not be more than 90 percent of F.O.B price of Persian Gulf, legislated in subsidizes regulation law in Iran. Time series models have been used to forecast various phenomena in many fields. In this paper we fit time series models to forecast the weekly gas-oil prices using ARIMA and ARFIMA models and make predictions of each category. Data used in this paperstarted with the first week of the year 2009 until the first week of 2012 for fitting the model and the second week of 2012 until 13th week of 2012 for predicting the values, are extracted from the OPEC website. Our results indicate that the ARFIMA(0.0.-19,1) model appear to be the better model than ARIMA(1,1,0)and the error criterions RMSE, MSE and MAPE for the forecasted amounts is given after the predictions, respectively Manuscript profile -
Open Access Article
83 - Application of Geometric Brownian motion in prediction of gold price and currency rate
Hojjatollah Sadeqi Mohammadesmaeil Fadaeinejad Alireza VarzidehVariables such as exchange rates and gold prices has a great importance for economic actors therefore the aim of this study were determined as prediction of U.S Dollar exchange rate and gold coin price in Iran Market. Forecasting has been done by Geometric Brownian Moti MoreVariables such as exchange rates and gold prices has a great importance for economic actors therefore the aim of this study were determined as prediction of U.S Dollar exchange rate and gold coin price in Iran Market. Forecasting has been done by Geometric Brownian Motion model that is considered as one of the stochastic differential equations. Data were collected and analyzed in the period from the beginning of 1392 until the end of 1395. also forecasting prices for each under study time series has been done in various forecasting horizons involved 7, 14, 21, 30, 60, 90, 180 and 360 day time period. The results show that Geometric Brownian Motion model can simulate the prices of gold coin and exchange rate highly accurate in accordance with the criteria of mean absolute percentage error. Also The other results obtained from this study is that According to ten different prediction accuracy criteria, By increasing the forecast horizon, ability of the GBM model in simulation and forecasting exchange rates and the price of gold coin decreases. Manuscript profile -
Open Access Article
84 - Predicting bankruptcy of companies listed on the Stock Exchange using the artificial neural network
Mohsen Vaez-Ghasemi Saeid Ramezanpour ChardehBeing informed of capital market’s companies financial situation is one of the shareholders and economic analysts’ perturbation. Thus, financial market analysts and researchers were looking for methods to predict capital market’s company’s future MoreBeing informed of capital market’s companies financial situation is one of the shareholders and economic analysts’ perturbation. Thus, financial market analysts and researchers were looking for methods to predict capital market’s company’s future conditions. This research is finding a model to predict bankruptcy of stock exchanges market’s companies with using the artificial neural network. In this research we used Zemijewski financial ratios with one macro – economic variable to predict companies’ bankruptcy. Population of study was selected from the accepted companies in Iran’s stock and exchanges organization. Financial ratios have been extracted from companies’ financial statement in a five years’ period between 2010 and 2014, finally we choose 84 companies that divided to salubrious and bankrupt equal number in each. We used multi-layer perceptron (MLP) with back propagation algorithm to create predictor model and data analysis. The network has been trained once with financial ratios and again with additional macro – economic variable to confirm that the accuracy of network model will increase by additional macro – economic variable. Ultimately the designed model in total mode has 92.95 percent of accuracy and 85 percent correct prediction of bankrupted companies for one year earlier of bankruptcy. Manuscript profile -
Open Access Article
85 - یک مدل بازه ای در شبکه جریان تحریمشده
راضیه کشاورزی حسن صالحی فتح آبادییکی از موضوعات کلیدی در شبکه های جریان، تحریم آن­هاست. کشاورزی و صالحی این مساله را با در نظر گرفتن چند مبداء و چند مقصد برای شبکه و داشتن شرایط خاص برای جریان ارسالی از مبداء­ها به مقصدها بیان کردند. علاوه بر این مساله، در حالت چند تحریم کننده معرفی و یک Moreیکی از موضوعات کلیدی در شبکه های جریان، تحریم آن­هاست. کشاورزی و صالحی این مساله را با در نظر گرفتن چند مبداء و چند مقصد برای شبکه و داشتن شرایط خاص برای جریان ارسالی از مبداء­ها به مقصدها بیان کردند. علاوه بر این مساله، در حالت چند تحریم کننده معرفی و یک روش معادل برای حل مساله بیان شده است. در این مقاله جریان شبکه تحریم شده با چند مبداء و چند مقصد به گونه ای بیان شده است که داده های مساله غیر قطعی هستند (در یک بازه با ابتدا و انتهای مشخص قرار گرفته اند). در انتها یک فاصله بهینه برای جواب مساله ارائه شده است و به حل یک مثال عددی با استفاده از نرم افزار لینگو پرداخته شده است. Manuscript profile -
Open Access Article
86 - پیش بینی خطر سکته مغزی بر اساس علائم کلینیکی با استفاده از روش رگرسیون لجستیک
مائده غلام آزاد جعفر پورمحمود علیرضا آتشی مهدی فرهودی رضا دلجوان انوریمدل سازی ریاضی یکی از روش های عملی است که می توان از آن برای حل مسائل واقعی استفاده کرد. مدلسازی را میتوان با استفاده از روشهای مختلفی از جمله روشهای آماری که میتوان از آنها برای پیشبینی رویدادهای مختلف استفاده کرد، انجام داد. سلامت یکی از مهمترین زمینه های تحقیقا Moreمدل سازی ریاضی یکی از روش های عملی است که می توان از آن برای حل مسائل واقعی استفاده کرد. مدلسازی را میتوان با استفاده از روشهای مختلفی از جمله روشهای آماری که میتوان از آنها برای پیشبینی رویدادهای مختلف استفاده کرد، انجام داد. سلامت یکی از مهمترین زمینه های تحقیقاتی در جهان امروز است. از بین بیماری های مختلف در بخش سلامت، این مطالعه مربوط به سکته مغزی است که دومین عامل مرگ و میر و ناتوانی طولانی مدت انسان است که منجر به انجام این تحقیق شده است. هدف اصلی این تحقیق طراحی و ساخت یک مدل پیشبینیکننده سکته مغزی بر اساس علائم و گزارشهای بالینی بیماران است که پیش بینی میکند که آیا در آینده نزدیک سکته مغزی در بیماران رخ میدهد یا خیر. با استفاده از روش رگرسیون لجستیک، عوامل خطر اصلی سکته مغزی شناسایی و میزان بروز آنها پیشبینی شده است. در این مطالعه اطلاعات بالینی از 5411 بیمار جمعآوری و پس از اعمال روش LR، مدل پیشبینیکننده طراحی شد. Manuscript profile -
Open Access Article
87 - A Review of Urban Growth Prediction Models
Fatemeh Hajizadeh Abdolrasoul Salman MahinyHuman population continues to aggregate in urban centers, who inevitably increases the urban footprint with significant consequences for biodiversity, climate, and environmental resources. Urban growth prediction models have been extensively studied with the overarching MoreHuman population continues to aggregate in urban centers, who inevitably increases the urban footprint with significant consequences for biodiversity, climate, and environmental resources. Urban growth prediction models have been extensively studied with the overarching goal to assist in sustainable management of urban centers. Despite the extensive research, these models are not frequently included in the decision making process. The survey found a strong recognition of the models’ potential in decision making, but limited agreement which these models actually reach enough potential in practice. This review aims are an overview of existing models, including advantages and limitations. Also, in general, it will be discussed to main reason for not applying these models in the decision making. Analysis of aggregated statistics indicates that cellular automata are the prevailing modeling technique, present in the majority of published works. Also, being unfamiliar decision-makers with models and thelack of popularity models to research are significant reasons for not using these models in the decision making. Manuscript profile -
Open Access Article
88 - Fire of Iranian forests, consequences, opposition methods and solutions
Saeedeh Eskandari سمانه اسکندریFire in the forests of Iran has destructed a large part of these valuable ecosystems in the recent years. Regarding to that Iran is one of the low-forest cover countries in the world, investigation of fire consequences in the forests of Iran and recognition of oppositio MoreFire in the forests of Iran has destructed a large part of these valuable ecosystems in the recent years. Regarding to that Iran is one of the low-forest cover countries in the world, investigation of fire consequences in the forests of Iran and recognition of opposition methods to fire in these forests is essential to present a solution to decrease these fires. Fire in the forests of Iran has had an important effect in destruction of unique flora and fauna, decrease of biodiversity and decrease of qualitative value of industrial plant species in addition to the economic damages and environmental pollutions. Furthermore, the recent fires in the forests of Iran have also increased the greenhouse gas emissions which it has an important role in the warming of these ecosystems and increasing of subsequent fires occurrence in these forests. This pre-background along with human-caused intentional and non-intentional fires in these ecosystems, has increased the continuous fires occurrence in the forests of Iran. Thus, development and designing of the effective opposition methods to these fires as preventing and operating methods is essential. Many different methods of fire occurrence and spread modeling have been developed using RS and GIS technologies which it seems that these methods have the effective role in predicting and preventing of these forests. Manuscript profile -
Open Access Article
89 - Evaluating the efficiency of artificial neural network in prediction of Electrical conductivity of Zarrinehroud River
Ali Khoshnazar Touraj Nasrabadi Pouyan Abbasi MaedehSixteen stations on Zarrinehroud River were sampled and parameters like temperature, alkalinity, Ph, electrical conductivity, dissolved oxygen and major anions and cations were measured on water samples. Afterwards, Pearson correlation coefficient between EC and other p MoreSixteen stations on Zarrinehroud River were sampled and parameters like temperature, alkalinity, Ph, electrical conductivity, dissolved oxygen and major anions and cations were measured on water samples. Afterwards, Pearson correlation coefficient between EC and other parameters were determined and the ones with lower cost of measurement were considered as the inputs of neural network models. Finally, the model number 5 with tangent Simulating algorithm and Levenberg-Marquet training Algorithm with minimum prediction error was accepted. The maximum determination coefficient, RMSE and NRMSE Were estimated to be 0.98, 168.33 and 0.28 respectively. Furthermore, it is observed that pH has a remarkable sensitivity more over 60 percent on the artificial neural network prediction. Manuscript profile -
Open Access Article
90 - Application of Artificial Neural Network and Regression Model to Predict the Phenomenon of Dust in the City of Ahvaz
Nabiollah Hosseini Shahpariyan Mohammad Ali Firozi Seyyed Reza Hosseini KahnojDust is one of the phenomena of destructive climate in the western provinces that causes great damage to the environment and many factors are involved in creating this problem. The aim of this study is to predict the phenomenon of dust in Ahvaz city. In this study, Ahv MoreDust is one of the phenomena of destructive climate in the western provinces that causes great damage to the environment and many factors are involved in creating this problem. The aim of this study is to predict the phenomenon of dust in Ahvaz city. In this study, Ahvaz synoptic data during the years (2000-2010) have been used. These data include mean dew point (in degrees Celsius), mean wind speed in knots, relative humidity in terms of average percentage and average monthly rainfall as input, and data on dusty days as target. Networks were introduced. Then, using causal modeling, the relationships between the variables are extracted and finally, the model is tested by neural network and stepwise regression model. The results confirm the ability of more than 74% of the model used to predict the dust phenomenon in Ahvaz. The regression rate of dust data in a linear combination with the variables entered in the equation is equal to 0.651. Also, the resulting coefficient of determination is equal to 0.424 and the modified coefficient of determination is equal to 0.410; That is, in fact, about 41% of the variance of the dust variable is explained and justified through independent variables. Manuscript profile -
Open Access Article
91 - Methods of modeling and evaluation of fire occurrence risk in the forests of world and Iran
Saeedeh EskandariThe growing trend of forest fires necessitates presentation of a solution to predict and control them. Fire occurrence modeling with attention to all effective factors, is a proper solution to predict the fire occurrence in the forests because many factors affect on for MoreThe growing trend of forest fires necessitates presentation of a solution to predict and control them. Fire occurrence modeling with attention to all effective factors, is a proper solution to predict the fire occurrence in the forests because many factors affect on forest fire occurrence. This study has been done to investigate the different methods of fire modeling and fire risk assessment in forests of the world and Iran. Investigation of the researches implemented in Iran shows that the studies about fire risk potential evaluation in Iran have been limited and AHP has been used to weigh the effective factors in forest fire in most of these studies. Conclusion of researches implemented in the world shows that vegetation type, slope, aspect, distance from roads, topography and land use, have been the most effective factors in modeling of fire occurrence and integration of digital layers has often been based on a hierarchy and a risk coefficient in fire occurrence. The past actual fires map has been compared with the fire risk map to assess the accuracy of models used in provision of fire risk potential map. Logistic regression and decision-making tree algorithm have been used to select the effective variables in fire and to model the fire risk in some new studies. Integration of fuzzy inference system and neural network, neural intelligence and support vector machine has been used to predict the future fires in some advanced methods. Multi-criteria analysis is a subject used in the new studies and organization of the criteria in a spatial model using GIS has had the good results. Manuscript profile -
Open Access Article
92 - Artistic reflection of contradiction in the poetry of Abu Tamam and Victor Hugo
Amir Moqaddam Mottaqi Zahra Haqayeqi Mahboobeh Mehr AfaridOne of the unique and stylistic methods in the poetry of Abu Tamam and Victor Hugo is the use of contradictions. This article aims to find some similarities and stylistic differences in the use of contradictions in the poetry of Abu Tamam and Hugo, and seeks to see how MoreOne of the unique and stylistic methods in the poetry of Abu Tamam and Victor Hugo is the use of contradictions. This article aims to find some similarities and stylistic differences in the use of contradictions in the poetry of Abu Tamam and Hugo, and seeks to see how the contradictions has enriched the poetry of the two poets. In this essay, based on the method of qualitative content analysis, findings show that the contradiction in the poetry of Abu Tamam and Victor Hugo has aesthetic and philosophical functions and indicates a fundamental connection with meaning. Behavioral and practical contradictions is one of the most frequent contradictions in the poetry of Abu Tamam and Hugo. The reason for the frequent use of these two contradictions is their connections with the general concept and structure of poetry. Abu Tamam has used the color of these contradictions to interpret his thoughts and philosophical ideas along with other literary images. Despite the simplicity of his poetry, Hugo’s style of expression has become as confusing and complicated as that of Abu Tamam, whenever he has decorated his poetry with these two contradictions. Manuscript profile -
Open Access Article
93 - Comparative comparison of AsadiTousi's Dictionary with Alein one
Mandana Hashemi Mansoureh Shirazi Yaser HooshyarBasically lexicography is preparation and presentation of a set of words and lexicon which is done based on linguistic principals. Comparative study of Asadi Toosi's dictionary and Ahmed Al Ain Farahidi's in Arabic language as the first dictionaries which have common in MoreBasically lexicography is preparation and presentation of a set of words and lexicon which is done based on linguistic principals. Comparative study of Asadi Toosi's dictionary and Ahmed Al Ain Farahidi's in Arabic language as the first dictionaries which have common influence based on their cultural, social, political and religious background. Manuscript profile -
Open Access Article
94 - The Literary Array of Paradox in John Donne and Saadi Shirazi’s Works
Fatemeh Azizmohammadi Hamedreza Kohzadi"Paradox" as a literary array plays an important role in the literature of East and West, particularly in Persian Greek and English literature. Using paradox is a method of literary criticism, including a review of ambiguous statements, deduction and subsequent concept More"Paradox" as a literary array plays an important role in the literature of East and West, particularly in Persian Greek and English literature. Using paradox is a method of literary criticism, including a review of ambiguous statements, deduction and subsequent concept of them .Both Saadi Shirazi and John Donne use the paradox to investigate the dominant contradictions that are, to some extent, incomprehensible to ordinary readers. This paper attempts to review and examine the challenge of the readers’ public understanding through the contradictions occuring in their minds by reading these two poets’ poems .This article seeks also to show how the emergence of such thoughts, and goals of these two poets in the application of the paradox Manuscript profile -
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95 - Manifestation of Islamic Beliefs in the Contradiction of Jarir in Rejecting Falsehood Emphasizing Holy Quran
Hamid Motevalli Zadeh NaeiniBy emergence of Islam, religious beliefs influenced all aspects of Muslim lives including their speech and behavior, and left important implications. Literature, as one of the most important aspects of society, both in the field of poetry and prose, were also inluded. S MoreBy emergence of Islam, religious beliefs influenced all aspects of Muslim lives including their speech and behavior, and left important implications. Literature, as one of the most important aspects of society, both in the field of poetry and prose, were also inluded. Since Jarir was a Muslim and Islam was the religion of the government and its official Calipha during his lifetime, the necessary way was paved for him to boast of non-Muslim rivals, so that in the controversy of Christian heresy, religion and its beliefs Has used it as the main substance of his arguments in overcoming him and has depicted everything that a Muslim can be proud of. In this article, the aim is not to study Jarir's religiosity or apostasy, but to analyze the aspects and dimensions of the poet's religious ideas in their contradictions with the desired impairment. The core of Jarir's religious thought is the proof of monotheism, as well as the proof of the dignity of Muslims and the humiliation of the conquerors. Manuscript profile -
Open Access Article
96 - A comparative study of the figurative paradox between Bushra al-Bustani and Abu al-Qasim
ZAHRA SAIDI Mohammad reza BeigiPictorial paradox is an art that the contemporary poet uses to highlight the contradiction between two opposite sides. There is a kind of contradiction between them. Figurative irony is one of the poetic elements in Arabic and Persian literature. which Abu al-Qasim Hala MorePictorial paradox is an art that the contemporary poet uses to highlight the contradiction between two opposite sides. There is a kind of contradiction between them. Figurative irony is one of the poetic elements in Arabic and Persian literature. which Abu al-Qasim Halat and Bushra al-Bustani employed as an artistic element to highlight their thoughts and emotions, and through them they described popular society, political repression, and colonialism; This poetic mechanism leads to popular awakening and urges to confront the colonialists. Bushra Al-Bustani, an Iraqi poet and critic (1949 AD); Abul-Qasim Halat, poet, writer and translator in 1289 A.D. Both are contemporary poets who come up with sarcastic verses between their poems. There is no doubt that the two poets Abu al-Qasim Halat and Bushra al-Bustani were influenced by the literature of paradox, and for this reason we find that there are many common denominators between the two literatures in Iran and Iraq. We see that the paradox led to the emergence of commonalities between the nationalistic tendencies of the two poets, the method of expressing them, and the common contents of their productions; The revolutionary spirit committed to oppression and colonialism, which you see in their poems, is evident. The most important results of this study: the manifestation of patriotism, anti-colonial movements, freedom and justice in their poetry. And the approach that we adopted in this article is descriptive and analytical. Manuscript profile -
Open Access Article
97 - A study on the role of early Arabic poems and dictionaries to explain the Quranic languages
morteza safdari niakThe importance of the Qur’an is that it is the word of God and that it was issued for the guidance of mankind. Therefore, attributing a meaning to the words of the Qur’an is a dangerous matter that must be fully reassured, lest we fall into the dilemma of sl MoreThe importance of the Qur’an is that it is the word of God and that it was issued for the guidance of mankind. Therefore, attributing a meaning to the words of the Qur’an is a dangerous matter that must be fully reassured, lest we fall into the dilemma of slandering God Almighty. The Arabic language is in eloquence, rhetoric, sweetness and gentleness to a degree that no other language can reach. And in the strangeness to the extent that with the increase and decrease in the movement or letter in the pronunciation, or in the modalities of the composition of the words from the introduction and the delay, the different meanings occurred because the Arabic language in rhetoric and eloquence has many provisions that are specific to this language, and if these considerations are used in another language, they Invalidate and useless. And after the conquest of the country and the mixing of the Arabs and the non-Arabs, forgetting the eloquent language is a possible matter. That is why some scholars in the early days of Islam composed Arabic dictionaries and cared about the language of the eloquent and the Arab rhetoricians, and cited the pre-Islamic poetry that was free from mixing with the non-Arabic language. Research on the languages of the Qur’an, especially the foreign ones, has been discussed among Muslims, and because the language of every people must be inferred from their eloquent speech, and this is one of the most important reasons for collecting eloquent Arabic poems. Manuscript profile -
Open Access Article
98 - Contradiction in Muhammad Mahdi al-Jawahiri’s Poetry
Hussein Shamsabadi Mehdi Momtahen Raheem AnsaripourThe Current study examines contradictions in Muhammad Mahdi al-Jawahiri’s political poetry. Al-Jawahiri led most of his life amidst the turmoil caused by the political events and developments that Iraq has undergone through different periods beginning with the 192 MoreThe Current study examines contradictions in Muhammad Mahdi al-Jawahiri’s political poetry. Al-Jawahiri led most of his life amidst the turmoil caused by the political events and developments that Iraq has undergone through different periods beginning with the 1920 Revolution led by religious leaders and ending with al-Ba‘th Party and Saddam Hussein. Al-Jawahiri has beencontradictory in his poems onal-Ba‘th Party, religious leaders, the contemporary Islamic movement, and the red communist tide which dominated Iraq in Abd al-Karim Qasim’s era. Al-Jawahiri has assumed such ironic and sarcastic stances toward events through his poems. An in-depth inspection of the true nature of his political positions demands an objective and historical study of his political poetry. Manuscript profile -
Open Access Article
99 - A Study on Contrary Terms from Phenomenology Viewpoint(Case Study: Suspicion Term)
Haleh Badindeh Seyyed Ibrahim Dibaji Gholam Abbas RezaeiSince two different meanings of doubt and certainty for the term “suspicion”. The method of the present research is analytical – descriptive and studies poetries of Dark Era, Arabic samples, Quranic science books and interpretation books by citing dict MoreSince two different meanings of doubt and certainty for the term “suspicion”. The method of the present research is analytical – descriptive and studies poetries of Dark Era, Arabic samples, Quranic science books and interpretation books by citing dictionaries from one hand and applying phenomenology analysis on the other hand in order to present a clear and transparent picture of their meanings and relations initially and then express the mechanism and creation process of these meanings specifically the meaning of opposite (contradiction) for the first time. The researches show that the term “suspicion” owns six meanings: doubt, thought, certainty, accusation, lie and expectation. By citing the meanings expressed by interpreters and dictionary writers, it could be resulted that they consider mentioned meanings as separable elements that there is no relationship between them; thus some researchers accept some meanings and ignore some others among them when they could find relations between them. Manuscript profile -
Open Access Article
100 - Jurisprudential investigation of alcoholic drinks with new instances
marjan farhani nejad سید محمد مهدی احمدیKnowing the subject of psychedelic, how much they are addictive, how they are produced and the ways of their production and distribution and also how to deal with this social dilemma is one of the important issues in society in order to prepare an appropriate cultural m MoreKnowing the subject of psychedelic, how much they are addictive, how they are produced and the ways of their production and distribution and also how to deal with this social dilemma is one of the important issues in society in order to prepare an appropriate cultural medium and ways of protection against this disease and addiction be known. Producing culture, in this case, about the subject of psychedelics is being done by media, books and articles, conferences and meetings. But by the growing trend of the amount and the kind of psychedelics, it is advised for more researches to be done in this area. The point that is of a great importance is the variety of psychedelics which is growing and they are in different type and shapes which facilitates their accessibility For stating the essence of the matter, in this domain. In this thesis Above all, some points, about all kinds of psychedelics and goals of society, are being posed. About the bases of jurisprudence and law, law enforcement of alcoholic drinks and narcotics on psychedelics which is one of the most crucial issues to be scrutinized in this research some information has been stated. The result of this research will be that we will witness a kind of promising society far from any kind of addiction to this destructive drugs and social dilemma, regarding to the stating of the issue and informative thoughts that has been shared Key words: alcoholic drinks, psychedelic, addiction, psychoactive, narcotic. Manuscript profile -
Open Access Article
101 - A Survey on contradiction of crime considering of Money Laundering through juridical formulas of no harm and possessive hand
محمد امین ملکی سید محمد مهدی احمدی علی رضا عسگریOne of the new crimes which in criminal and civil law are being considered as a crime is money laundering. Jurist has prohibited this new crime based on some titles like prohibition of using other properties in a wrong way, prohibition of arrogation, prohibition of coo MoreOne of the new crimes which in criminal and civil law are being considered as a crime is money laundering. Jurist has prohibited this new crime based on some titles like prohibition of using other properties in a wrong way, prohibition of arrogation, prohibition of cooperation on sin, expediency laws and…. Some law scholars believe that: it seems that prohibition and considering as crime of money laundering is contradicting with some juridical formulas like possessive hand, no harm, and with regard to these apparent contradictions they have weakened crime considering of money laundering. After a survey on jurist theories, it came to result that there is no contradiction and the path that lead this research to that are: necessity, Islamic society's expediencies and repulse of weak doubt to powerful doubts. This essay has written by library method and it's descriptive. Manuscript profile -
Open Access Article
102 - Jurisprudential and Juridical Review of Solemn Malediction and its Role in Facilitating the Divorce Process of Couples
Mahnaz AsgariGhonche Mahdi Mirdadashi Mohammad SadeghiThe purpose of the present study is jurisprudential and juridical analysis of solemn malediction and its role in facilitating the divorce process of couples. The method of study is descriptive-analytic and the results showed that with respect to jurisprudence and expedi MoreThe purpose of the present study is jurisprudential and juridical analysis of solemn malediction and its role in facilitating the divorce process of couples. The method of study is descriptive-analytic and the results showed that with respect to jurisprudence and expediency of maintaining the couples' life, it deems appropriate to execute solemn malediction, if its executive conditions and principles exist. Couples in some cases reach a dangerous stage where they cannot bear each other due to intense hatred, so the holy legislator wants to cut the relationship between them completely and permanently as soon as possible. It also prevents the couples to execute arbitrary punishment by themselves because in such circumstances lengthening the process of divorce is so risky. Therefore, it is suggested that the legislators by completing juridical deficiencies of the institution of solemn malediction and also executers by raising awareness in terms of this divine rule and consequences of false accusation of adultery to women, make use of the wisdoms in this institution to prevent family crimes and decrease social harms. Manuscript profile -
Open Access Article
103 - A Study of Value Contradiction in the Political Socialization Methods of Iran's Mass Media Officials in 2019
Mohammad Saeifar Asghar Mohajeri AmirMasood Mazaheri Aliasghar MahakiThe purpose of the present study is to survey contradictions in the fundamental values and political socialization methods of Iran's mass media officials in 2019. The method of study is a mixture of qualitative and quantitative techniques and all the research hypo MoreThe purpose of the present study is to survey contradictions in the fundamental values and political socialization methods of Iran's mass media officials in 2019. The method of study is a mixture of qualitative and quantitative techniques and all the research hypotheses denoting that the potentials of conservative, moderate, and reformist officials have a significant effect on political socialization were confirmed. It was also approved that the value beliefs of conservative, moderate, and reformist officials have a significant effect on political socialization. Furthermore, this point was emphasized that the capacities of conservative, moderate, and reformist media have a significant effect on political socialization. Manuscript profile -
Open Access Article
104 - The Construction and Deconstruction of Beliefs in Sanai’s Sonnets and Investigating the Relation between them and his Mystical Orientation: Structuralist Reading
Fateme Sadat TaheriThis article studies sampels of deconstruction of beliefs in Sanai’s sonnets.Mysticism and Sufism due to their different attitudes toward God, the world, and human beings has manifested for the first time the deconstruction of beliefs in Persian literature and, he MoreThis article studies sampels of deconstruction of beliefs in Sanai’s sonnets.Mysticism and Sufism due to their different attitudes toward God, the world, and human beings has manifested for the first time the deconstruction of beliefs in Persian literature and, hence, spoke of the invalidity of common thoughts and notions. To this end, different concepts, language, and thought have deployed to offer different interpretations. Regarding Sanai’s superior position in the consistent representation of mystical themes in Persian poetry time and his pey attention to culture, the author, through a descriptive-analytical approach, seeks to answer this fundamental question: Which are the Sanai’s methods, practices and aims that he has used to deconstruction of the common beliefs of his? What is the relation between deconstruction of beliefs in Sanai’s sonnets and mystical Orientation? And how much can his sonnets be read on Structuralis readin? It can be argued that Sanai as the father of Persian mystical poetry, through reversing semantic concepts, Qalandarane consepts, contradictory expression, and adopting the language of the mad, deconstruction of beliefs to create a new impression in readers’ minds. Sanai is due to his mystical courage, fearlessness and spirituality, which can be influenced by the devotion to the trance (Sokr) and his follow-up of the Khorasan School. The weirdness of these themes has attracted much attention and audience and Construct and Deconstruct of Beliefs that these metodes is explored by Structuralis reading in the text in Sanai’s sonnets whithout any attention to history and ordinary sciences. Manuscript profile -
Open Access Article
105 - The Realm of Humour
Tooraj AghdaeeKSJLSAKSJLSA Manuscript profile -
Open Access Article
106 - An Analytical Comparative Study of the Myth of “Zal and Rudaba” in Comparison to Other Iranian and Egyptian Myths
maryam mahmoodi ahmad khademiThere is a symbolic interpretation of the myth of “Zal and Roudabeh” in its covert layers as it is in other Iranian and Egyptian myths. Zal and Simorgh are equal to the Sun, and are the symbols of godlike heroes. Rudaba is also the symbol of the gods associa MoreThere is a symbolic interpretation of the myth of “Zal and Roudabeh” in its covert layers as it is in other Iranian and Egyptian myths. Zal and Simorgh are equal to the Sun, and are the symbols of godlike heroes. Rudaba is also the symbol of the gods associated with water and the moon, and an icon of unconsciousness. These three characters are all eternal as their prototypes. The myth of Zal and Rudaba is abundant with dualities that are inclined to unite and exalt, i.e. Zal is to undergo metamorphosis in order to escape from that duality and transform into a godlike authority living close to Simorgh; and Rudaba – a female heroin – desires to be in union with Zal – a male hero. This paper has studied the myth of Zal and Rudaba and has compared it to ancient myths of Iran and Egypth regarding their structures and concepts. Finding the similarity between these myths the paper has given an archetypal and symbolic analysis of them Manuscript profile -
Open Access Article
107 - Study of Diction in Ferdowsi`s Shahnameh
Tooraj AghdaieThis article studies “diction” in Ferdowsi’s Shahnameh. Diction has different meanings and is so frequently used that amounts to the signification of “speech” as one of the bases of “thinking good thoughts, saying good words, and doin MoreThis article studies “diction” in Ferdowsi’s Shahnameh. Diction has different meanings and is so frequently used that amounts to the signification of “speech” as one of the bases of “thinking good thoughts, saying good words, and doing good deeds” in Shahnameh. Ferdowsi based his versification of Shahnameh on this so-called triangle to depict a clear picture of man’s life as he deserves it, i.e. a worthy life founded on this triangle. In his Shahnameh, Ferdowsi has used the term “diction” more than two thousand times, either as a single, derivative or compound word, in its literal and metaphorical senses. Then the researcher has tried to scan and study the term in all its form as used by Ferdowsi in order to discover his viewpoint of this signifier – as the sole distinction of human and animals – and its relation to the signified. Although parallel researches can reveal the significance and function of every single word in the structure of this masterpiece of Ferdowsi, the word “diction” undoubtedly matters more, for it is his only means both to narrate his Shahnameh and to express his knowledge and wisdom and his understanding and judgment. Moreover, studying “diction” in Shahnameh brings out Ferdowsi’s adroit use of the term and lets us know not only how he thought about the world but how the characters of his narratives uncover their true selves through speaking. Manuscript profile -
Open Access Article
108 - Prediction Micro-Hardness of Al-based Composites by Using Artificial Neural Network in Mechanical Alloying
R, M Babaheydari S, O Mirabootalebi -
Open Access Article
109 - The Artistic Features of the Poetry of Ibin Nobatah
Hamed Sedghi Rahmatollah Haydari ManeshThe Egyptian poet, Ibin Nobatah is one of the most renowned poets of Mamluki era who, we may say, has complained about different issues in his poetry much more than his contemporary poets. In these complaining poems he has considered issues like life and death, separati MoreThe Egyptian poet, Ibin Nobatah is one of the most renowned poets of Mamluki era who, we may say, has complained about different issues in his poetry much more than his contemporary poets. In these complaining poems he has considered issues like life and death, separation and poverty, old age and common maladies in the world surrounding him. But the present article emphasizes the poet’s attention for the artistic features which have paved the way for him to express his complaints and express a better articulation for his private pains. The important features can be pointed as the poet’s use of words, compositions and styles and a combination of rhythmic diction compatible with his complaint and the depressing atmosphere surrounding him. Manuscript profile -
Open Access Article
110 - The Arabic Sonnets of Mowlana and Hafez: A Contextual Critical Study
Mehdi Momtahen Monir Ahmad ShareeatiResearches done on Mowlana’s and Hafez’s poems abound in numbers leaving the readers with the idea that no other concept has been left unexplored. But once all these researches re-examined, one finds that a part of the Iranian and Islamic literature has not MoreResearches done on Mowlana’s and Hafez’s poems abound in numbers leaving the readers with the idea that no other concept has been left unexplored. But once all these researches re-examined, one finds that a part of the Iranian and Islamic literature has not been thoroughly explored and explained by the researchers in the field. This is where we come to the Arabic poems composed by these two poets which in themselves exemplify their poetic craftsmanship as well as their mastery, especially Mowlana, of the Arabic language. A re-examination of the poetry of these two great poets one comes to the conclusion that they take their philosophical sustenance from the teachings of Quran. This is apparently detectible through the liens of all these Arabic poems which reflect the impact of the Abbasi era literature on them using a very simple and down to earth language and bearing the vast power of imagination and some motives of Arabic poetry. This article is an attempt to compare the Arabic poems composed by Mowlana and Hafez and, through a new perspective, present these two poets in different dimensions and perspectives which have not been explored therewith informing the readers who have not been acquainted with them by examining their mutual spiritual experience they both provide. Manuscript profile -
Open Access Article
111 - Irony in Maroof Alrosafi’s Poem
Hamid Valizadeh Ali Sayadani Ali Khaleghi Irony is an art used by contemporary poets for showing contradiction between two sides in which there is a sort of contradiction and it has been defined in the following ways: 1- the person says one thing and means to be vice versa and 2-sarcasm.Nevertheles More Irony is an art used by contemporary poets for showing contradiction between two sides in which there is a sort of contradiction and it has been defined in the following ways: 1- the person says one thing and means to be vice versa and 2-sarcasm.Nevertheles; neither classical Arabic literary criticism nor rhetoric have focused on this. Irony is a technique completely different from paradox and contrast. Both are different from technical construction and use of implication. For this reason irony is used to show the contradiction amid two sides. This contradiction is extended to a degree to which it includes the whole ode. And the whole poem becomes a big irony. And it is divided to two inseparable parts: Verbal irony and situational irony, a vivid characteristic of which is contradiction between surface and deep meaning. And this irony in Maroof’s poem is clearly observable. This irony with its kinds are clearly stated when Maroof shows the political repression and kinds of colonialism in Iraq society. And Maroof has used this technique for stating his thoughts and emotions. Consequently, these activities lead to public enlightenment and encouragement of resistance against colonizers which are one of its most important outcomes. And this article tries to show the standpoint of irony and also to analyze it in Maroof’s poem, and the method employed is descriptive-analytical. Manuscript profile -
Open Access Article
112 - A novel face images compression scheme using sparse signal representation and RLS_DLA dictionary learning algorithm
Amir Masoud Taheri Homayoun Mahdavi-NasabDue to the rapid growth of information technology and exponential increasing of information the need for more and more storage capacity and efficiency has increased. Image compression is an important tool to reduce the redundancy of images data in order to be able to st MoreDue to the rapid growth of information technology and exponential increasing of information the need for more and more storage capacity and efficiency has increased. Image compression is an important tool to reduce the redundancy of images data in order to be able to store or transmit them in an efficient manner. When images are limited to a specific and limited family of images like MRI databases of a hospital or facial image database of a university or an organization or fingerprint image databases, this limitation increases the total spatial redundancy. Thus, efficient storage of such images is beneficial, and their compression becomes an appealing application, and this urges algorithms specially tailored for the task of content base image compression to surpass general purpose compression algorithms. The facial images, due to their wide application as the most common images in the organizations and companies are more considerable for image compression. In this paper a new image compression scheme using sparse coding and RLS-DLA redundant dictionary learning is proposed that can be used for compressing of face image databases. In the proposed method, several dictionaries are exploited adaptively based on the required image quality to enhance the overall rate-distortion. The simulation results show that this scheme outperforms the state-of-art algorithms like JPEG2000 by about 0.5 to 1.2 dB for reconstructed images PSNR. Manuscript profile -
Open Access Article
113 - Designing an Artificial Neural Network Based Model for Online Prediction of Tool Life in Turning
A. Salimiasl A. Özdemir I. Safarian -
Open Access Article
114 - Investigation of Magnitude and Position of Maximum von Mises Stress in The Cylindrical Contact Problems
Hasan Heirani Reza Naseri -
Open Access Article
115 - Effectiveness of Quality of Life Therapy on Internet Addiction, Lonliness, and Selfe-steem of Female Second Grade High School Students
samaneh rezaiee Hadi farhadiThis research intended to investigate the effects of quality of life therapy on internet addiction, lonliness and self- esteem in second grade high school students. The sample included 435 second grade high school female students in Kaashan, Iran who were selected throu MoreThis research intended to investigate the effects of quality of life therapy on internet addiction, lonliness and self- esteem in second grade high school students. The sample included 435 second grade high school female students in Kaashan, Iran who were selected through convenient sampling. 88 students who were recognized to have internet addiction were chosen, and were randomly assigned to two groups, namely, an experimental group(n-25), and a control group(n-25).The instruments were: Internet Addiction Questionnaire (Young,1996) Lonliness Questionnaire(Russel,1980), and Self Esteem Questionnaire (Eysenck,1976). Analysis of covariances was run to analyze the gathered data. The results revealed that the quality of life therapy can reduce internet addiction and lonliness and it can enhace self esteem and after one month the finding did not change, and they were stable. Manuscript profile -
Open Access Article
116 - Comparing the themes of salvation in the life stories of successful and unsuccessful quit drinking alcoholics
Ebrahim Ahmadi The purpose of this study was to answer the question of whether the themes of salvation in the life stories (ie, the person experiences unpleasant life events as causing positive changes in his character) is different in alcoholics who are successful and unsucce More The purpose of this study was to answer the question of whether the themes of salvation in the life stories (ie, the person experiences unpleasant life events as causing positive changes in his character) is different in alcoholics who are successful and unsuccessful in alcohol withdrawal. The population for this study were all alcoholics of Mashhad in 1992 (N=3000), and 127 alcoholics were selected by convenience sampling method. The main research tool were life stories of participants. Control variables were measured using revised life view test (skier, Carver, and Bridges, 1994), depressive feelings subscale of Epidemiological Research Centre depression scale (Radlaf, 1977), positive and negative emotions timing test (Watson, Clark, and Tleejen, 1988), anxiety subscale of short scale of symptoms (Dyragtys, 1975) subscales of the ability and efforts of multidimentional causality scale (Lfkvrt, Van Byayr, Weir, and Cox, 1979), alcohol dependence scale (Skinner and Allen, 1992), the scale of participation in Alcoholics anonymous (Tvnygn, Kanrs, and Miller, 1996), a five-point scale general health of short version health survey (Weir and Sherborne, 1992). Using a causal-comparative design, the life stories of alcoholic who had four or more years of alcohol withdrawal (ie were successful in alcohol) were compared with life stories of alcoholics who were 6 months or less of alcohol withdrawal (ie, unsuccessful in quitting alcohol). The data were analyzed using χ2, rpb, and F. Results showed that successful alcoholics significantly more than unsuccessful ones pointed in their life stories that bitter experience of last alcohol caused positive developments in their characters (p>0/001). This difference remained significant even after statistically controlling for unrelated variables (personality traits, severity of alcohol dependence, physical and mental health, and other themes in the story) (p=0/04). This study proved for the first time that the perception of the unpleasant events of life as factors that have contributed to positive changes in a person, can help to quit alcohol addiction. Manuscript profile -
Open Access Article
117 - The Role of Cognitive Emotion Regulation Strategies in the Prediction of Depression
azam salehiThe goal of the present study was to determine the role of cognitive emotion regulation strategies in predicting depression. In this correlation study, 262 Isfahan Payame noor University students from different fields were selected by multi-stage random sampling method. MoreThe goal of the present study was to determine the role of cognitive emotion regulation strategies in predicting depression. In this correlation study, 262 Isfahan Payame noor University students from different fields were selected by multi-stage random sampling method. Cognitive Emotion Regulation Strategies Questionaire (Garnefski et al., 2002) and SCL-90 (Derogatis et al., 1973), Were administered. Research data were analyzed by Pearson correlation coefficient and stepwise regression. The results of stepwise regression analysis showed that from among of the nine scales of cognitive emotion regulation strategies scale, catastrophizing, acceptance, refocusing on planning, rumination, and recent stress, respectively, influence and significantly predict depression (P < 0.001). But, self-blame, blaming others, positive reappraisal, positive refocusing and putting into perspective strategies had no effect on depression and were removed from the equation. These results provide guidelines for the prevention of depression through modification of cognitive emotion regulation strategies. Manuscript profile -
Open Access Article
118 - Prediction of Internet Addiction,Based on Emotional Intelligence Among Isfahan University Students
nasim jafari maryam fatehizadeThe aim of this research was to investigate the predictive role of emotional intelligence in internet addiction among Isfahan university students. This is a multiple correlation research. The statistical population included students of Isfahan university of Iran. The MoreThe aim of this research was to investigate the predictive role of emotional intelligence in internet addiction among Isfahan university students. This is a multiple correlation research. The statistical population included students of Isfahan university of Iran. The randomly selected training samples included 71 students (36 girls and 35 boys). Assessment instrument consisted of Internet Addiction Test Young (1998) and Trait Emotional Intelligence Questionnaire Petrides and Furnham (2001). The gathered data was analyzed by descriptive and inferential statistics and regression methods. The results showed that there were correlations (r=-0.54) between internet addiction and emotional intelligence (P < 0.001) and emotional intelligence can predict 29% of internet addiction (P < 0.001) . Manuscript profile -
Open Access Article
119 - Perceived Effects of Predisposing Male Adolescents to Addiction (Family, Attachment, Belief)
rohalah ahoun Ma’soumeh Esmaeily Farahnaz Shakehnia Ali reza Akhlaghi Mohammad Sadegh MontazeriThe aim of this study was to examin if perceived effects can predispose male adolescents to addiction. The population included addicted male adolescents in Tehran Reformatory and male high school students from District the two in Tehran in 2012. The sample was 33 of MoreThe aim of this study was to examin if perceived effects can predispose male adolescents to addiction. The population included addicted male adolescents in Tehran Reformatory and male high school students from District the two in Tehran in 2012. The sample was 33 of addicted male adolescents from Reformatory Who were selected via purposeful random sampling, and 33 students of male high school students which were chosen by cluster sampling. The research type was qualitative. Data were collected by an open-ended questionnaire, a semi-structured interview. Data were analyzed using content analysis. Descriptive statistical analyses and frequency tables were used. The Chi square test was used to examine the differences between groups. The addicted sample in the three factors of family, attachment and belief had more pathology than students. Chi square findings revealed a significant difference between the two groups regarding indices of their parents education, age, job, life status, number of siblings, conflict of parents, emotional deprivation, feelings of deprivation and failure, childhood deprivation, and attention to social and religious values (P 0.005). The findings have important implications concerning prevention and therapy for adolescents disposed to addiction. Manuscript profile -
Open Access Article
120 - Modeling the Causal Relationships Between Parenting style and communication pattern Family, Commitment School and Self-esteem on Potential to Addiction among Secondary school Girls in Abadan
شهلا ذهبیون محبوبه سادات حسینی سلطان نصیرThis study aimed to investigate the causal relationships between family, school and self-esteem on potential to addiction among first grade high school female students In the academic year 93-1392. Research statistical population was consisted of female students in Abad MoreThis study aimed to investigate the causal relationships between family, school and self-esteem on potential to addiction among first grade high school female students In the academic year 93-1392. Research statistical population was consisted of female students in Abadan high schools which among them 518 persons were selected multi-stage cluster sampling method as a sample. The instruments consisted of 5 questionnaires Potential to addiction Zargar (2006), Perceived parenting styles ((EMBU-S Dirik, Yorulmaz & Karanci (2014), Patterns of family communication Fitzpatrich & Ritchie (1994), Self-esteem Rosenberg (1965) and Commitment to school Mohammad khani (2007). SPSS and AMOS software were used for path analysis to assess the causal modeling. The results showed that there was a direct relationship < /font> between the components of the parenting style of warmth, overprotection and rejection with potential to addiction. In addition, conversation of the family communication patterns have direct and conformity have indirect relationship < /font> with potential to addiction. As well, There was direct and indirect relationships between school's commitment with potential so as to addiction. According to the results, designed preventive interventions can prevent potential to addiction to improve relations among family and adolescents and to strengthen the emotional bond between parents and adolescents and to create belonging and commitment to school in adolescents. Manuscript profile -
Open Access Article
121 - The Study Effects one of Addiction Preventing Program in Adolescentsâ Self-Esteem, Attitude,Tendency and Knowledge in Substance Abuse
علیرضا رجائی محمدحسین بیاضیAbstract: This research examines influences the effects one of addiction preventing program on self-esteem, attitude, tendency and knowledge of adolescents in substance abuse. This program included the ways of coping with stress and increasing self- assertion, also resi MoreAbstract: This research examines influences the effects one of addiction preventing program on self-esteem, attitude, tendency and knowledge of adolescents in substance abuse. This program included the ways of coping with stress and increasing self- assertion, also resistance ways against peers’ pressure and gave correct information about the substance and substance abuse. The sample comprised subjects from high school boy students of torbat-jaam. These subjects were divided in experimental and control groups. First, the means of pretest and post- test in two groups were compared separately with the paired samples T- Test. The data showed that this addiction prevention program increases self- esteem, and knowledge and decreases tendency of experimental group to drug abuse, but in the control group these effects were not observed. For the second group used independent samples t- Test was used to compare the mean differences the pretest and post-test of the two groups. The data showed that the prevention program only had decreased the tendency of the experimental group towards drug abuse, but there were not significant differences in self- esteem, attitude, and knowledge of the two groups. Manuscript profile -
Open Access Article
122 - The Relationship Between Perspective,Knowledge and Sources of Information About The Addiction, With a Tendency to Drug Abuse, From Azad Khorasgan Students' Point of View
فریده قائمی سید محمدرضا صمصام شریعت کیمیا آصفوزیری دلارام بلوچیThe aim of this research was to investigate the relationship between perspective, knowledge and sources of information about the addiction, With tendency to drug abuse in khorasgan students. This type of descriptive study is correlation and the samples included studen MoreThe aim of this research was to investigate the relationship between perspective, knowledge and sources of information about the addiction, With tendency to drug abuse in khorasgan students. This type of descriptive study is correlation and the samples included students whom where selected randomly The research tool was researcher made questionnaire and its validity was calculated by the use of crunbach Alfa the data were analyzed and the results showed that there is a significant positive relationship between perspeetives to addiction as a curable disease with the rate at using drug (P < ). Manuscript profile -
Open Access Article
123 - Relationship Between Aggression, Assertiveness, Depression and Addiction Potential In Female Students of Allameh Tabbatabai
mehrdad hajihasani abdollah shafiabadi fahime PIRSAGHI Omar Kiyani pourThe purpose of this study was to determine the relationship between aggression, assertiveness, depression and addiction potential in female students of Allameh Tabbatabai. The research method was correlational-survey and a total of 150 girls were chosen by available s MoreThe purpose of this study was to determine the relationship between aggression, assertiveness, depression and addiction potential in female students of Allameh Tabbatabai. The research method was correlational-survey and a total of 150 girls were chosen by available sampling. Data was collected by Ahvaz Aggression Questionnaire (AGQ), Gambril & Rigy Assertiveness questionnaire , Beck Depression Inventory (BDI) and Zargari Addiction Potential Questionnaire. Then, data was analyzed via correlation , SD, frequency, mode and regression analysis. Results showed that the relationship between aggression, assertiveness, depression and addiction potential was significant . (P < 0.01) . The results of the multivariate regression analysis showed that linear combination of aggression, assertiveness and depression can predict the Addiction Potential (P < 0.01). Manuscript profile -
Open Access Article
124 - Predicting University Students' Addiction Admission based on their Self-Efficacy and Social Support Feelings
Saeed Akbari Zardkhaneh Saeid ZandiThe purpose of the study was to investigate the predicting role of self-efficacy and social support in addiction admission among university students. In terms of purpose, this study was a basic research; and in terms of data collection, it was an ex post facto descripti MoreThe purpose of the study was to investigate the predicting role of self-efficacy and social support in addiction admission among university students. In terms of purpose, this study was a basic research; and in terms of data collection, it was an ex post facto descriptive research. Using multistage cluster sampling method, 296 (153 female and 147 male) students were selected from University of Tehran and they were asked to complete Perceived Multidimensional Social Support (Zimet et al., 1980), Self-Efficacy Scale (Schwarzer & Jerusalem, 1995), and Addiction Admission Scale (Weed et al., 1992). Results of stepwise regression analysis showed that total social support and self-efficacy can equally explain four percent of variance in addiction admission (p=0/003). In addition, among social support subscales, family support can explain six percent of variance in addiction admission (p=0/006). However, friend and significant others components did not have a significant role in the prediction. Therefore, focusing on family-oriented and individual-based approaches in addiction prevention may be more advantageous as compared to community-based approaches. Manuscript profile -
Open Access Article
125 - The Influence of Rehabilitation Course of Psychological Services in Addicts Negative Self Concept, Anxiety, Depression and Self-Esteem in The Rapeutic Communing Center of Ahwaz
ساسان باوی محمد رضا برناThe purpose of this study was to investigate the influence of rehabilitation course of Psycho-logical services in negative self concept , anxie-ty, epression and self esteem addicted men in therapeutic community center of Ahwaz in 2007-2008. esearch plan is of quasiexp MoreThe purpose of this study was to investigate the influence of rehabilitation course of Psycho-logical services in negative self concept , anxie-ty, epression and self esteem addicted men in therapeutic community center of Ahwaz in 2007-2008. esearch plan is of quasiexperimen-tal "pretest- posttest" with one group. The sam-ple of the research were 50 men from the well being – volantry in therapeutic community cen-ter in Ahvwaz.the tools of the research are Rogers's self concept test, Cattel's anxiety test, Beck's depression test and Copper Smith's self esteem test .the results show that the presenta-tion of the psychological services in therapeutic community center of Ahwaz reduced the mean of negative self oncept, depression, an-xiety and increased the mean of selt esteem in the addicted men. Manuscript profile -
Open Access Article
126 - Comparison of Temperament- character Personality Characteristics among Addicted, Depressed, Anxious and Normal People
امیرحسین علی محمدی فرشاد شیبانی نوقابی کمیل زاهدی تجریشیThe current study aimed to compare the personality characteristics (temperament and character) of addicted, depressed, anxious and normal people. In this cross- sectional causal- comparative study ,120 participants consisting of 90 mental patients: 30 addicted,30 depres MoreThe current study aimed to compare the personality characteristics (temperament and character) of addicted, depressed, anxious and normal people. In this cross- sectional causal- comparative study ,120 participants consisting of 90 mental patients: 30 addicted,30 depressed and 30 anxious patients referred to therapeutic centers of Bojnord and normal people subjects of same city in 2011(1389.s.c) were selected. All participants were asked to complete the Cloninger et al. Temperament and Character Inventory (TCI),(1991) and data were analyzed using two- way ANOVA,MANOVA and Tukey post-hoc test. The results showed that in perseverance temperamental dimension, anxious patients and normal group had higher scores respectively which were significant in comparison with addicted patients(p < 0.01).On the other hand , addicted and anxious patients significant had the highest mean scores in novelty- seeking and harm-avoidance temperamental dimensions respectively (p < 0.01).The normal group had the highest scores on reward-dependence temperamental dimension which was significant in comparison with addicted patients(p < 0.01).However, in self- leadership characteristic dimension no significant difference was found. Also significant difference were found in self- leadership between the addicted and the normal groups as well as between the two groups of anxious and depressed patients and the normal group (p < 0.05) , and in cooperation dimension, between the two groups of addicted and depressed persons and the normal group(p < 0.01).The results of the current study showed that besides paying attention to biological factor among drug users ,depressed and anxious patients , the role of emotional and cognitive factor should be assessed ,to provide more suitable solutions and therapy. Manuscript profile -
Open Access Article
127 - Comparison of the Effectiveness of Cognitive â behavior Therapy, Methadone Therapy, and the Combination Method on Reducing Depression in Addicts
farah lotfi kashani mina mojtabai mansour alimehdiThe aim of the present research was to compare the effectiveness of cognitive–behavior therapy, methadone therapy and combination therapy method on reducing depression in addicts. The design of the study was quasi-experimental with pretest –posttest and control group MoreThe aim of the present research was to compare the effectiveness of cognitive–behavior therapy, methadone therapy and combination therapy method on reducing depression in addicts. The design of the study was quasi-experimental with pretest –posttest and control group .The statistical population were all persons who referred to therapeutic centers of two cities of Tehran province in 2013 (1391c.s). The research sample included 40 subjects (male) who were selected by purposeful sampling and placed in the following four groups randomly: cognitive behavior therapy, methadone treatment, and combination therapy, but the control group did not receive any therapy. All participants were tested before and after twelve weeks treatment with the Beck Depression Inventory (Beck, 2000) and clinical interviews were done. The results of analysis of covariance showed that all three treatments, cognitive behavioral therapy, methadone therapy and combination method, as compared with the control group, were effective in improving depression (P < 0.001). Also, results showed that there is not significant difference in the effectiveness of methadone therapy and combination method. Therefore, the two methods of therapy are effective on the rate of depression. Manuscript profile -
Open Access Article
128 - Predictability of University Students' Internet Addiction based on Self-Compassion and Perceived Social Support
Zahra Shahabinejad Saeid Zandi Sanaz AzizmohammadiThe purpose of this study was to determine the role of self-compassion and social support in predictiong internet addiction among university students. Using multistage cluster sampling method, 120 students (60 female and 60 male) were selected from University of Tehran MoreThe purpose of this study was to determine the role of self-compassion and social support in predictiong internet addiction among university students. Using multistage cluster sampling method, 120 students (60 female and 60 male) were selected from University of Tehran and they were asked to complete Self-Compassion Scale (SCS), Internet Addiction Questionnaire, and Perceived Social Support Questionnaire. Results of stepwise regression analysis demonstrated that self-compassion and social support significantly explain 0.758 percent of variance in internet addiction (p<0.001). Additionally, the findings also showed that self-compassion, predicting 0.719 percent of internet addiction (p<0.001), is of more importance and power in this process. Among self-compassion components, mindfulness, self-judgment, and common humanity significantly predicted 0.711 percent of variance in internet addiction (p<0.001); among these component, mindfulness demonstrated the highest role in this process. Manuscript profile -
Open Access Article
129 - Predicting social media addiction in adolescent student based on depression and narcissistic personality considering the mediating role of self-disclosure
Haydeh Haeri simin bashardoust Hayede SaberiThe aim of this study was to predict social media addiction in adolescent student based on depression and narcissistic personality by considering the mediating role of self-disclosure. The study was descriptive and correlational design and from the sample of correlation MoreThe aim of this study was to predict social media addiction in adolescent student based on depression and narcissistic personality by considering the mediating role of self-disclosure. The study was descriptive and correlational design and from the sample of correlation schemes and the statistical population included all male and female high school students in Tehran, from which 300 students were selected using multi-stage cluster method. Data were obtained through questionnaires of Social Network Orientation and Use (Momeni and Taghilo, 2016), Beck Depression Inventory (1978), Narcissistic Personality (Raskin & Terry, 1988) and Virtual Self-Disclosure (Chelon, 1978). Data were analyzed by multivariate regression analysis in SPSS-20 statistical software. The findings showed that there is a significant effect between depression, narcissistic personality and self-disclosure with social media addiction (p=0/01). Also, the proposed model had a good fit (c2/df=3/09, CFI=0/971, AGFI=0/926, GFI=0/973, RMSEA=0/083) and the results support the mediating role of self-disclosure in relation to narcissistic personality and self-disclosure and social media addiction. Manuscript profile -
Open Access Article
130 - qualitative research Factors affecting adherence to treatment in addicts undergoing In the camps of Isfahan city
fatemeh khaghani hajar torkan Zahra YousefiAbstract: The aim of the present study is to investigate the factors affecting adherence to treatment in addicts undergoing camps in Isfahan city. This is a qualitative thematic analysis. The statistical society of the survey includes all addicts referred to camps MoreAbstract: The aim of the present study is to investigate the factors affecting adherence to treatment in addicts undergoing camps in Isfahan city. This is a qualitative thematic analysis. The statistical society of the survey includes all addicts referred to camps in Isfahan city in 2018. 10 subjects were selected from narcotics anonymous using a purposive homogeneous sampling method. Semi-structured interviews were utilized to collect data. The research tool was a semi-structured interview that included questions related to adherence factors in the treated addicts. The data were analyzed through thematic analysis approach of Braun and Clarke (2000). Our findings demonstrated that adherence to treatment is affected by six major factors: 1) family-related factors 2) behavioral factors, 3) spiritual factors, 4) social factors, 5) tendency to modify personal life and finally, 6) therapeutic factors. In general, these results evince that compliance with treatment in addicts undergoing through camps occur only in the presence of theses six factors and addiction therapists should pay a special attention to improve these factors in treating the addicts Manuscript profile -
Open Access Article
131 - The effectiveness of play therapy based on the relationship parent child (Filial Therapy) on addiction to computer games, and aggression in preschoolers
maryam soltani Hadi FarhadiThe aim of this research is Teaching play therapy based on the parent – child relationship (Filial Therapy) to mothers of preschool children and and its effects on computers game addiction and aggression in their children. Statistical population MoreThe aim of this research is Teaching play therapy based on the parent – child relationship (Filial Therapy) to mothers of preschool children and and its effects on computers game addiction and aggression in their children. Statistical population of this research includes all mothers of preschool children with addiction to computer games Were randomly assigned to either experimental or control groups.The instrument used in this research were addiction to commuter games questionnaire (Farhadi (1395), (parents form), and Vahedi et al. (1999), aggression scale of preschool children (parent form). The participants in two stage of pretest and posttest were answered to research instruments.The experimental group subjected to 10 sessions (2 hour), filial therapy education.The results of this research showed that, filial therapy training to mothers were effective to reduce addiction sign to computer games (p<0.01), children aggression (p<0.05), verbal aggression (P <0.01), and impulsive aggression (P <0.05).Accordingly focusing on educations related to parents was recommended as a strategy to reduce children’s extreme tendency to play computer games. Manuscript profile -
Open Access Article
132 - Predicting Internet Addiction Based on Aggression, Law-aversion, and Hyperactivity in High School Students
farhad ghadiri karim abdolmohamadi sina sheikhi khoshdavi ebrahimzadeInternet addiction is a type of impulse control disorder that refers to the excessive use of the internet, the purpose of this study is to investigate the question of whether aggression, law-aversion, and hyperactivity in adolescents can predict Internet addiction? This MoreInternet addiction is a type of impulse control disorder that refers to the excessive use of the internet, the purpose of this study is to investigate the question of whether aggression, law-aversion, and hyperactivity in adolescents can predict Internet addiction? This research is a descriptive correlational study. The statistical population of this study was all high school students in the 2019-20 academic year of Urmia schools, from which 400 people were selected by multi-stage cluster sampling method. In this study, The Achenbach Youth Self-Report Scale (Achenbach, 1991) and Internet Addiction Questionnaire (Young,1998) were used to collect information. Data were analyzed using simultaneous regression analysis. The results of this study showed that aggression and hyperactivity significantly predict students' internet addiction (p< 0/01) Also, law-aversion has no significant effect on predicting internet addiction. According to the findings of the present study, by reducing the level of aggression and hyperactivity in students, the tendency to Internet addiction can be reduced. Manuscript profile -
Open Access Article
133 - A Comparative Overview of Electronic Devices Reliability Prediction Methods-Applications and Trends
Frederick Ehiagwina Titus Adewunmi Emmanuel Seluwa Olufemi Kehinde Nafiu Abubakar -
Open Access Article
134 - An Improved Decision Tree Classification Method based on Wild Horse Optimization Algorithm
raheleh sharifi Mohammadreza RamezanpourIn this paper, an improved decision tree classification method based on wild horse optimization algorithm is proposed and then the application in customer behavior analysis is evaluated. Customer behavior is modeled in the form of time series. The proposed method includ MoreIn this paper, an improved decision tree classification method based on wild horse optimization algorithm is proposed and then the application in customer behavior analysis is evaluated. Customer behavior is modeled in the form of time series. The proposed method includes two general steps. First, the customers are classified into clusters based on the features extracted from the time series, and then the customers’ behavior is estimated based on an efficient predictive algorithm in the second step. In this paper, an improved decision tree classification based on wild horse optimization algorithm is used to predict customer behavior. The proposed method is implemented in the MATLAB software environment and its efficiency is evaluated in the Symmetric Mean Absolute Percentage Error (SMAPE) index. The experimental results show that variance, spikiness, lumpiness and entropy have a high impact intensity among the extracted features. The overall evaluation indicate that this proposed method obtains the lowest prediction error in compared to other evaluated methods. Manuscript profile -
Open Access Article
135 - Predicting locational trend of land use changes using CA-Markov Model (Case study: Kohmare Sorkhi, Fars province)
Sara Azizi Ghalati Kazem Rangzan Javad Sadidy Peyman Heydarian Ayoub TaghizadehLand use changes act as a significant factor in the environmental changes and have become a global threat. Monitoring and prediction these changes by satellite images and models can help the planners and managers to make more conscious planning decisions. In this regard MoreLand use changes act as a significant factor in the environmental changes and have become a global threat. Monitoring and prediction these changes by satellite images and models can help the planners and managers to make more conscious planning decisions. In this regard, the current research aimed to monitor, model and predict land use changes using CA-Markov model in Kohmare Sorkhi region, Fars province in 2024 for a period of 25 years (1987-2012). To implement the mentioned model, the land use map was first prepared by ETM+ and TM sensors during three years (1987, 2000, 2012). Then, validation of maps and change detection process were performed. The results of change detection for the first period (1987-2000) and second period (2000-2012) with an accuracy of 83% and Kappa index of 88% have shown the greatest increase in the rangeland area (4224.24 ha) and the greatest decrease in the forest area (3953.75 ha). In the next stage, in order to calibrate the CA-Markov model, land use map for 2012 was predicted; on the other hand, regarding Error Matrix between the modeling land use map and the reference land use map, the Kappa index wad given as 75%. Finally, considering the previous stage, the land use map for the outlook of 2024 was predicted. The final results for 2024 indicated that the forest area would endure the great amount of changes in comparison with 2012. The forests would change into the irrigated agricultural area and rangelands which can be considered in sustainable development planning by decision makers. Manuscript profile -
Open Access Article
136 - Forecasting of forest land changes in the Chaloosrood watershed
Vajiheh Ghorbannia Kheybari Mir Mehrdad Mirsanjari Mohsen ArminDeforestation affects watershed processes and biochemical cycles and lead to soil erosion and lack of water in the catchment areas. This study is aimed to investigate the changes in forest land in the Chaloorood watershed on the west of Mazandaran province using Geomod. MoreDeforestation affects watershed processes and biochemical cycles and lead to soil erosion and lack of water in the catchment areas. This study is aimed to investigate the changes in forest land in the Chaloorood watershed on the west of Mazandaran province using Geomod. In this study, maps of forest in the years of 1987 and 2015 were prepared using satellite images. Then the suitability forest map was produced by making a regression equation between suitability criteria maps and forest changes map in the period of 1987-2015. Finally, by using forest map in 1987, forest suitability map and the number of modified pixels in forest land between 1987 and 2015, Forecast of the forest map for 2043 was done using Geomod. Also, by using the Validate function and classified forest map 2015, as a reference map, and the forecasting forest map 2015, as a comparative map, the validity of the production map was evaluated. The results showed that the area of forest land in 1987, 2015, and 2043 was 38683.65, 2464.354 and 15227.25 hectares, respectively. The extent of forest changes in the last 28 years and the next 28 years is 35.72% and 38.76% respectively. Forest changes in the period between 1987 and 2015 under the influence of factors such as distance from the road, forest cover density, distance from the village, slope and elevation above sea level, respectively. The Pseudo R2 and ROC coefficients are 0.29 and 0.85 respectively, which indicates the proper ability of the model to estimate forest changes over the past 28 years and the relative agreement of the model with the real changes. In this study the accuracy of resulting land use maps was 96%, which represent the appropriate capability of Geomod in land use changes modeling in Chaloosrood watershed. Manuscript profile -
Open Access Article
137 - Monitoring and prediction land use/ land cover changes and its relation to drought (Case study: sub-basin Parsel B2, Zayandeh Rood watershed)
Shahin Mohammadi Khalil Habashi Saeed PormanafiLand use and land cover (LULC) change because of its impact on natural ecosystems has become a concern for natural resources protectors and managers. The present study aimed to predict LULC changes and also to study the relation of drought with these changes in the sub- MoreLand use and land cover (LULC) change because of its impact on natural ecosystems has become a concern for natural resources protectors and managers. The present study aimed to predict LULC changes and also to study the relation of drought with these changes in the sub-basin Parsel B2 with an area of 21100 hectares using CA-Markov model and Standard Precipitation Index (SPI). For this purpose, using the preprocessed images of the sensors TM, ETM+, and OLI for the years 1986, 2001 and 2016, respectively, the LULC map was provided with supervised classification and maximum likelihood method. To validate the CA-Markov model, the LULC maps have been predicting for 2016 and they were compared to the reference land use map of 2016. After ensuring the accuracy of the predicted results for the year 2016, the related land use and land cover maps were predicted for the year 2030. The result showed a relation between LULC changes and drought condition. Based on result predicted for the year 2030, rain-fed agriculture 6.95% increase and range land 6.66% decrease in area. Thus In the event of drought and abandonment rain-fed agriculture land, soil erosion, increasing and also grazing pressure on the remaining range land causing range land degradation. Therefore, if the current land use strategy with current management remain, land degradation in the region will be inevitable. Manuscript profile -
Open Access Article
138 - Study and prediction of land surface temperature changes of Yazd city: assessing the proximity and changes of land cover
Mohammad Mansourmoghaddam Iman Rousta Mohammadsadegh Zamani Mohammad Hossein Mokhtari Mohammad Karimi Firozjaei Seyed Kazem AlavipanahBackground and Objective The expansion of urbanization has increased the scale and intensity of thermal islands in cities. Investigating how cities are affected by these thermal islands plays an important role in the future planning of cities. For this purpose, this stu MoreBackground and Objective The expansion of urbanization has increased the scale and intensity of thermal islands in cities. Investigating how cities are affected by these thermal islands plays an important role in the future planning of cities. For this purpose, this study examines and predicts the effect of land cover (LC) changes in the three classes of LC including urban areas, barren lands, and vegetation on land surface temperature (LST) in the city of Yazd during the last 30 years using Landsat 5 and 8 images. This study also examines the effect of the ratio of proximity to the barren land and vegetation classes during this period to examine how the recorded LST is affected by the mentioned ratio.Materials and Methods The LC maps of Yazd city were extracted using a supervised Artificial Neural Network classifier for 1990, 2000, 2010, and 2020. Terrestrial data, google earth, and ground truth maps were used to derive training data. The LST of Yazd was obtained from the thermal band of Landsat 5 and Landsat 8. After that, the LST was classified into six available classes, including 16-20, 21-25, 26-30, 31-35, 36-40, and 41-46°C which has shown that the four last classes play an important role in LST changes in Yazd city during last 30 years. To evaluate the effects of the proximity of barren land and vegetation LC classes on the LST recorded by the sensor, firstly the proximity ratio was calculated in 5×5 kernels for all image pixels. Then the mean of LST was derived based on this ratio of barren and vegetation lands.Results and Discussion The results of this study showed that in Yazd city, from 1990 to 2020, the area of the urban area has grown 91.5 % (33.6 km2) over the last 30 years. Barren and vegetation land, have negative growth in the area over the same period. From 1990 to 2020, barren lands in Yazd experienced a growth -79.4% (21.3 km2), which the sharp growth of urban areas justifies this negative growth in barren lands. Vegetation classes in Yazd from 1990 to 2020, have experienced a growth -68.5% (12.2 km2). The average ground temperature of this city has been constantly increasing during these 30 years. By 2020, the city of Yazd, reaching an average of 38.1°C compared to 29.2°C in 1990, has experienced a 30.4% increase in its average LST. The temperature classes of this city have also moved towards warmer temperature classes in these 30 years. As the main part of the LST area of Yazd, in 1990, in the first place, the class of 26-30 °C with 47 km2 and at the second place the class of 31-35 °C with 26.4 km2 are classified. In 2000, in a reverse trend, the main LST class was 31-35°C with 52.8 km2 as the first place and the 26-30°C class with 20 km2 as the second place. With an increased class, the LST class of 36-40 °C for both 2010 and 2020 with 40.2 and 63 km2 respectively has been recorded as the largest LST class. The LST class of 31-35 °C has been recorded as the second LST class of both years with 33.2 and 9.7 km2, respectively. The difference between these two years is in the growth -70.7% (23.5 km2) of the class area of 31-35°C and the increase of 10.3% (0.8 km2) of the hottest class of the statistical period, 41-46°C, in 2020, compared to 2010. The results of this study also showed that the highest average temperature in all year was recorded for barren lands at 37.3°C. Also, a positive correlation (mean correlation 0.95) was shown between the proximity to barren land cover and the mean LST. However, the sharp upward trend of urban areas in the whole statistical period (91.5% with 33.6 km2) as the second class with the highest average LST after the barren lands with an average of 34.1 °C versus a downward trend of 79.4% (21.3 km2) of barren lands has increased the average LST over a statistical period of 30 years. It is because the decrease of 68.5% (12.2 km2) of vegetation areas as an LC class with the lowest average LST (32.2°C) in the same period, neutralized the effect of decreasing barren lands and intensified the trend of increasing the LST. Meanwhile, a negative correlation (mean correlation -0.97) was established between the ratio of proximity to vegetation and the average LST. The results of forecasting land cover changes in 2030 in the city of Yazd indicate that in a process similar to previous periods, the class of urban areas will increase. This growth will not be significant compared to 2020, with 1.6% (1.1 km2). However, a significant decrease in green areas (vegetation) by -19.6% (1.1 km2) in the same period, along with a slight decrease in barren lands -1.8% (0.1 km2) will cause the earth’s surface to become warmer, and the area of LST classes will be increased by the year. Accordingly, the main area of the LST class in 2030 for the city of Yazd, as in 2020, is forecasted 36-40°C with 58.2 km2 (-7.6% growth compared to 2020). But the dramatic growth of the hottest class of LST over the statistical period (41-46°C) with 166.3% (14.3 km2) growth as the second major class of LST in this year (2030), as well as the negative and dramatic growth of the relatively cooler class 31-35°C with -97.9 % (9.5 km2) in this year indicates the warmer ground surface temperature in 2030.Conclusion The results of this study indicate that in 30 years in Yazd city, the decrease in vegetation in the first place, along with the increase in urban areas in the second place, has caused an increase in LST. Thus, the vegetation class reduces the LST due to its cooling effect considering its water content. In this study, it was shown that by taking all factors into account, the reduction of barren lands will lead to a decrease in LST, and also increasing urban areas with a lower impact factor than barren lands will increase the LST. However, the decrease in the area of green lands (vegetation) in recent years, along with the sharp increase in the area of urban areas has caused an increase in LST. Increasing the proximity to vegetation by creating green areas by increasing the ratio of vegetation in the vicinity of different LC and also reducing the area of barren lands, can be a good solution to deal with the impact of urbanization in recent years on ground surface temperature. Manuscript profile -
Open Access Article
139 - Monitoring Bakhtegan wetland using a time series of satellite data on the Google Earth Engine platform and predicting parameters with Facebook’s Prophet model
Mohsen Dastaran Shahin Jafari Hossein Moslemi Sara Attarchi Seyed Kazem AlavipanahBackground and Objective Wetlands are habitats for vegetation and wildlife and because of this, they have a high environmental value. Also, wetlands reduce soil erosion, restore aquifers, store rainwater in a flood event, and provide water for agriculture or livestock. MoreBackground and Objective Wetlands are habitats for vegetation and wildlife and because of this, they have a high environmental value. Also, wetlands reduce soil erosion, restore aquifers, store rainwater in a flood event, and provide water for agriculture or livestock. Wetlands are vulnerable to human interventions and changes such as drainage, urban sprawl, infrastructure development, and over-exploitation of groundwater resources. Prediction of the condition of wetlands in the future requires a correct understanding of the evolution of wetlands and identifying their trend of change. Nowadays, Remote Sensing technology is widely used for mapping wetlands, and its ability to monitor the changes in wetlands regardless of the diversity of wetlands has significantly increased the value of this science in this field. Remote Sensing can be an effective means of simulating and predicting wetland degradation processes by providing images at different times and through dynamic spatial modeling. In this study, the changes in the Bakhtegan wetland have been monitored. This wetland has high environmental and tourism importance and its drying affects negatively the living conditions and health of local people as well as tourism in the region. In addition, predictions of precipitation parameters, groundwater level, and temperature have been conducted. For this purpose, the Google Earth Engine platform was used to capture and process images. Google Earth Engine is a platform that can capture and process images in the shortest time and at high speed. In this regard, using Google Earth Engine, changes in the lake water area along with changes in temperature, groundwater level, and precipitation were extracted and monitored. Moreover, a comparison took place between these parameters to determine the changes that have taken place in the lake over the past two decades. To predict the parameters, the changing pattern was predicted and analyzed using the Prophet model. The most important advantage of the Prophet model is its ability to convert discrete data to continuous data to make the best predictions. This method automatically detects the trend of seasonal data and displays the trend of seasonal changes.Materials and Methods Satellite images were acquired from the Google Earth Engine platform to monitor the wetland. Landsat 7 and 8 images were used for water body extraction, GRACE Data were used for extraction of groundwater level changes, MODIS product was used for extraction of vegetation and wetland surface temperature, and TRMM image product was used to extract precipitation values. An automated water extraction index was used to extract the wetland body water. The groundwater level was extracted from the GRACE sensor. MODIS sensor product was used to obtain the surface temperature time series for the study area. For the extraction of precipitation time series, the monthly cumulative data of the TRMM (3B43V7) satellite with a spatial resolution of 0.25°C was extracted using Google Earth Engine and the trend of changes was evaluated and analyzed. The Mann-Kendall test is one of the most widely used non-parametric tests for detecting meteorological and environmental data trends, which is used to detect a monotonic trend line since this test is a non-parametric method, it does not need that the data follow a normal distribution. The Prophet predictive model is a predictive library developed by Facebook and is available in R and Python programming languages. This library supports additive modeling methods and can properly predict discrete values continuously. This feature is called "Holiday". Another feature of this library is the automatic detection of daily, weekly, seasonal and annual trends. The mean absolute error (MAE), by default, exists in the Prophet library. This error represents a more natural standard than the mean error and unlike the RMSE error, it is unambiguous.Results and Discussion In the present study, we monitored the Bakhtegan wetland using the Google Earth Engine platform to observe the trend of water level changes in this wetland from 2000 to 2020. In addition, Parameters were also predicted using the Prophet Prediction method which is developed and published by Facebook. By examining this trend, it can be observed that the water level of the wetland has been significantly reduced during two decades. In this regard, the trend of groundwater level, temperature, and precipitation in the area was investigated. Examining these factors, it was found that along with a 58.3% decrease in the water level of the wetland, there was a 260% decrease in the groundwater level of the region, although the amount of rainfall in the region has been less compared to other factors and has been decreased about 29%. Using Mann-Kendall statistical test, the trend of this decline was proved. To predict the parameters, the Prophet model has been able to make predictions for 1500 days as continuous data using discrete data. The output of the model has shown that for rainfall parameters and groundwater level a downward trend is predictable over the next 1500 days which is low intensity for precipitation but with high intensity for groundwater level. Temperature prediction indicated that it has a seasonal trend, and has a high amount of fluctuation within a year, but its annual trend indicates stability in the coming years. The results of the model for the water level of the wetland also show a relatively low upward trend that has a probability of change of ±12.5 Square kilometers. Also, the error of the parameters at the 95% significant level has acceptable accuracy, which indicates the validity of the prediction. An automated water extraction index was used in this study to extract the time series of the water body of the wetland. Using the mean time series extracted, the maximum and minimum wetland’s water body area belongs to 2006 with 629.23 square kilometers and 2014 with 156.82 square kilometers, respectively. The time series of changes in this wetland indicates that the water volume of the wetland has been declining in the last two decades. According to this study, it can be concluded that the trend of changes in the water level of the wetland has been decreasing. The descending changes in the lake based on the trend of changes in groundwater levels indicates a decrease in water volume in the area. Considering that the trend of precipitation changes has been stable, it can have assumed that improper management and excessive use of groundwater may be a reason for lowering the water level of the wetland. Due to the same decrease in the water level of the lake, the temperature has also decreased by about 3°C.Conclusion According to this study, it can be concluded that groundwater levels and precipitation will have a downward trend in the future, which will lead to a decrease in the water level of the wetland, which itself has the potential to fluctuate in the future, and the downward trend continues. With the current trend, the only solution is to plan properly to preserve the wetland. If this trend continues, we will face the destruction of the wetland. Given the monthly trend of the wetland surface, it is suggested not to over-exploit groundwater resources, especially in the summer. For further research, the Google Earth Engine platform can be used without the need to download the images and spend a lot of time and money, to obtain the time series of images. Regarding the prediction, in future studies, the Prophet model can be applied, since it uses discrete data and at the same time provides the desired accuracy. Manuscript profile -
Open Access Article
140 - Application of spatial statistics in zoning and spatial analysis of the sound speed in the Persian Gulf
Mahyar Majidy Nik Hamed DeldarThe aims of this study were to find the distribution of sound speed under the influence of water's physical parameters; to predict spatial analysis in oceanography using geostatistical methods; to forecast value parameters for the Persian Gulf and zoning the sound speed MoreThe aims of this study were to find the distribution of sound speed under the influence of water's physical parameters; to predict spatial analysis in oceanography using geostatistical methods; to forecast value parameters for the Persian Gulf and zoning the sound speed. Sound Speed was calculated using Chen-Millero formula and pressure, salinity, and temperature data. The data extracted from World Ocean Atlas 2013 with regular mesh grid 0.25 degree. Sound speed was calculated using the Chen-Millero formula. Spatial analysis of the sound speed comparison based on three methods Kriging, Co-Kriging and Inverse Distance Weighted. These methods were performed using GS+ software in both warm and cold season. The best method finally used to forcast and prepare the plans of zoning sound speed. The Pearson’s correlation test was performed between independent variables and sound speed showed that the maximum correlation occurs between temperature and sound speed. Therefore, the temperature was considered as the auxiliary variable in Co-Kriging method for spatial analysis of sound speed. Cross-validation results showed that model's forecasting in cold season was better compared to warm season in this region. Results of spatial analysis showed that the sound speed decreased about 20m/s in all layers from the Hormuz Strait toward the northwestern part of the Persian Gulf. Because of the increased salinity the maximum of sound speed was always in the south shallow area. In all investigated stations, sound speed reduced with increasing depth, due to temperature reduction and the sound channel is not also observed. Manuscript profile -
Open Access Article
141 - Land use change modeling using artificial neural network and markov chain (Case study: Middle Coastal of Bushehr Province)
Mehdi Gholamalifard Mohsen Mirzayi Sharif Joorabian ShooshtariCoastal lands of Bushehr Province has a high importance in terms of marine exporting and importing, oil and gas reserves, agriculture, nuclear plant, suitable condition for fishing and tourist attractions. Therefore new desirable methods for monitoring and modelin MoreCoastal lands of Bushehr Province has a high importance in terms of marine exporting and importing, oil and gas reserves, agriculture, nuclear plant, suitable condition for fishing and tourist attractions. Therefore new desirable methods for monitoring and modeling changes are required to be used in these areas. This study was performed with the aimed of monitoring and modeling land use changes using Artificial Neural Network (ANN) and Markov Chain in Land Change Modeler (LCM) in 23 years period (1990-2011). After model accuracy assessment using kappa coefficient, land cover map of the year 2016 was predicted by the 2006-2011 calibration period. The results indicated that two trends include changes from open lands to agricultural and then quitting these agricultural lands have been observed during the study period. Such that, the agricultural area has increased to 19715.76 hectares from 1990 to 2006,but between 2005 to 2011, only 14.48% of agricultural lands has remained unchanged and the large area of those were finally left. In this study, LCM was able to predict 0.76 of changes correctly. So that it was predicted 12000 hectares increasing of extent urban development in the coastal lands of Bushehr Province in 2016. Manuscript profile -
Open Access Article
142 - Comparison of Linear and Non-linear Support Vector Machine Method with Linear Regression for Short-term Prediction of Queue Length Parameter and Arrival Volume of Intersection Approach for Adaptive Control of Individual Traffic Lights
mohammad ali kooshan moghadam Mehdi Fallah TaftiIntroductionThis study was carried out in line with the development of adaptive traffic signal control systems to provide a better traffic control at intersections. In this approach, if the predicted data related to the future cycles are used to optimize the upcoming sc MoreIntroductionThis study was carried out in line with the development of adaptive traffic signal control systems to provide a better traffic control at intersections. In this approach, if the predicted data related to the future cycles are used to optimize the upcoming schedule, it will control the traffic in unforeseen cases and manage it before reaching the forthcoming cycles. In order to have enough data to create such a model, the required data from two intersections in Yazd city were collected and these intersections were simulated using AIMSUN software. Then these intersections were calibrated and validated for existing conditions. The prediction accuracy results were extracted by the proposed methods and compared with the linear regression method. RMSE, MAE and GEH errors were used to compare the methods.Method: The predicted queue length and arrival volume parameters for any entry approach of itersections are major variables required during the adaptive signal control process, Hence, Linear and Non-linear Support Vector Regression Methods combined with the time series method were used to predict these parameters. For comparison of the performance of these models with a conventional model, Linear Regression models were also developed for the prediction of these parameters.ResultsFor the developed model based on combined Linear Support Vector Regression and the time series methods, the number of optimal previous cycle data used in the model was measured as 6 and 2 previous data cycles for predicting the arrival volume at Pajuhesh and Seyed Hassan Nasrollah intersections, respectively. The optimal number of previous data used in the model was measured as 9 and 11 previous data cycles for predicting the queue length at Pajuhesh and Seyed Hassan Nasrollah intersections, respectively. Also, using the combined Non-Linear Support Vector Regression and the time series methods, the number of optimal previous data cycles was obtained as 8 and 2 cycles in predicting the arrival volume at Pajuhesh and Seyed Hassan Nasrollah intersections, and the number of optimal previous data cycles was obtained as 7 and 7 cycles in predicting the queue length at Pajuhesh and Seyed Hassan Nasrollah intersections.Discussion: The results of RMSE, MAE and GEH measures were used to compare the performance of the developed models with the real data. This comparison indicated that the model based on the combined Non-Linear Support Vector Regression and time series methods, has produced the best performance in predicting traffic arrival volume than the other aforementioned models. However, in terms of predicting the queue length, this model produced a better performance than the combined Linear Support Vector Regression at only one of the intersections. The Linear Regression model produced the weakest performance in all comparisons. Thus, it can be concluded that the combined Support Vector Regression and time series methods are appropriate tools in predicting traffic parameters in these situations. Manuscript profile -
Open Access Article
143 - A Similarity Measure for Link Prediction in Social Network
Ali Sarabadani Kheirollah RahseparFard Seyed Morteza PournaghiIntroduction: A social network is a social structure made up of individuals or organizations. Social network analysis is an approach in which the network is considered as a set of nodes and relationships between them. Nodes are individuals and actually actors in the net MoreIntroduction: A social network is a social structure made up of individuals or organizations. Social network analysis is an approach in which the network is considered as a set of nodes and relationships between them. Nodes are individuals and actually actors in the network and the relationships between them are displayed as connections between nodes.Method: Among many social network analysis issues, link prediction has attracted much attention due to the growing number of social network users. Link prediction means predicting which new interaction is going to happen in the future. Traditional link prediction methods considered pairs of nodes as a unit and made decisions based on commonalities between them. In addition, we proposed a new similarity measure for link prediction in social networks.Results: We compared this criterion with four prediction methods of Jaccard link, Salton Index, Salton Cosine, and resource allocation). Experimental runs in this article were carried out on five social network datasets. Our results showed that this criterion performed better than other link prediction techniques on all datasets.Discussion: Social network analysis has recently attracted lots of attention among researchers due to its wide applicability in capturing social interactions. Link prediction, related to the likelihood of having a link between two nodes of the network that are not connected, is a key problem in social network analysis. Many methods have been proposed to solve the problem. Among these methods, similarity-based methods exhibit good efficiency by considering the network structure and using as a fundamental criterion the number of common neighbors between two nodes to establish structural similarity. Manuscript profile -
Open Access Article
144 - Designing a conscious prediction system based on future literacy: social constraints in sport for all
Javad shahvali kohshouri Hadiseh BahramiObjective: Objective: After explaining the relationship between constraints and future research, one of the things that are effective in predicting or even making future in all areas is future literacy. It can be acknowledged that future literacy is a scientific skill t MoreObjective: Objective: After explaining the relationship between constraints and future research, one of the things that are effective in predicting or even making future in all areas is future literacy. It can be acknowledged that future literacy is a scientific skill that develops a better understanding of the predicted assumptions. Future literacy or future is an educational framework that makes it possible to visualize the approaches for the future.Health-centric exercise or sports for all are sports activities that are followed by the vitality of joy and health at the level of different societies. Future or lost literacy is a valuable futures study in sports. Therefore, the aim of the present study is to design a general informed forecasting system based on future literacy, which in this study was specifically tested on public sports.Methodology: This qualitative research, which is exploratory-fundamental in nature, with a focus on social constructivism and using the constructivist approach of the basic theory, presents a short-range theory in conscious forecasting based on future literacy. Research data were collected through purposive sampling using snowball technique and based on in-depth semi-structured interviews with experts in the field of futures, research and sports management. The number of participants in the study using the theoretical saturation index reached 14 people.In this study, data were coded and decomposed according to the field theory and with the construction approach. Instead of emphasizing the collection of facts and describing the actions, this approach emphasizes views, values, beliefs, feelings, defaults and ideologies of individuals. At the same time, interviews and receive feedback from interviewees during return to existing texts and documents, initial implications and codes were modified and modified. In this research, in all sampling process, three stages of free, communication and theoretical sampling stages were observed in the basis of the use of the construction approach of data theorem.Results: In this study, a multi-part model consisting of the main components of support processes, main processes, future images, future literacy and approaches was obtained. In this model, it was found that future literacy, which means encoding and decoding future images, can make conscious predictions about the future of public sports by using present-day potentials and existing processes.Conclusion: The arbitrary theory acknowledges that future literacy, which is an accessible skill based on human intrinsic capacity, can be based on current time potentials such as the main processes, such as identifying weak signals, surprises, macro trends, propulsion forces, uncertainties, design Strategic radar, based on environmental scanning and backup processes, such as inter-surface participation, key actor analysis, perspective, planning, entirely, cramps, and reengineering, make upcoming images; The upcoming literacy by decoding or coding these images based on the empowerment loop, which consists of four elements of awareness of the past and present, choosing and participating in the present and discovering in the coming time, provide information for different future.The existing system, beyond the conventional views in futures studies, can be a starting point for modeling informed predictions in sports. Manuscript profile -
Open Access Article
145 - The mediating role of physical activity in the causal relationship between cyberspace addiction and mental health in athletes
Sima Najafnejad Hossein Poursoltani Zarandi Azadeh NaghdiObjective: Today, it is noticed that exercise is effective in promoting mental health in addition to physical health (Boelens et al, 2022). Performing sports activities is so important that the World Health Organization chose the slogan "Movement is the key to health" i MoreObjective: Today, it is noticed that exercise is effective in promoting mental health in addition to physical health (Boelens et al, 2022). Performing sports activities is so important that the World Health Organization chose the slogan "Movement is the key to health" in 2002 (Creese, 2021). Gymnastics is one of the basic, ranked sports activities and it is very important for teenagers. The lack of evidence regarding some social harms, including cyberspace addiction and mental health on athletes and non-athletes, has caused some of the positive and negative functions of sports to be unclear for teenagers. This problem has caused the development of sports in order to manage social harms and some negative points of sports in the occurrence of negative phenomena in society. Therefore, there are ambiguities regarding the role of sports in the current atmosphere of society, which disrupts the planning process. So The present research was designed and implemented with the aim of role the mediating of physical activity in the causal relationship between cyberspace addiction and mental health of gymnastic athletes in sports clubs in Karaj.Methodology: The current research method is descriptive-correlation type and the statistical population includes gymnastic athletes of Karaj sports clubs, according to the latest inquiry from the Karaj gymnastics team, 541 people were active and had sports insurance cards, and according to Morgan's sample size formula, the number 225 people were considered as a statistical sample. Non-random sampling method was available. After distributing and collecting the research questionnaires, 217 questionnaires were analyzed. The tools of this research were the standard questionnaires of internet addiction by Kimberly Young (1988), physical activity of sit-in (2013), mental health by Goldberg (1972). In this study, the test of regression coefficient and structural equations was used using Spss26 and Pls smart third version software.Result: In examining the effect of variables based on the results of path analysis, it was found that addiction to virtual space with a coefficient of -0.13 and (T-Value = 2.111) has a negative and significant effect on mental health, physical activity with a coefficient of 0.23 (T-Value = 4.521). Value=) has a positive and significant effect on mental health and cyberspace addiction with a coefficient of -0.28 (T-Value=5.847) has a negative and significant effect on physical activity. Also, the results of the Sobel test to investigate the mediating effect of the physical activity variable showed that the physical activity variable has a significant effect on mental health in relation to cyberspace addiction, and the mediating relationship was confirmed. Also, the variance inclusion index (VAF) showed that the indirect effect of cyberspace addiction through physical activity on mental health is -0.26%. which shows the partial negative mediation of physical activity variable between cyberspace addiction and mental health. Conclusion: The results of this research showed that addiction to virtual space has a negative and significant effect on physical activity, which is consistent with the research results (Creese, 2021). If the athletes who are addicted to using virtual space have a low level of participation in physical activities. The results of this research show the need for intervention and training in the mentioned areas with the aim of reducing the amount of addiction to cyberspace in teenagers. The results of the research showed that physical activity plays a mediating role in the causal relationship between cyberspace addiction and the mental health of gymnastic athletes in sports clubs, and the current research model has a favorable fit.Addiction to virtual space due to the reduction of free time and not enjoying sports entertainment instead of virtual entertainment, lack of energy and lack of motivation due to mental disorders and changing people's lifestyle to inactive mode, so that the amount and level of physical activity of people are affected. In general, physical activity can be used as a tool to improve the level of physical and mental health of people to deal with cyberspace addiction and its adverse effects.Therefore, proper preventive measures such as educating the general public about safe use of the Internet as well as counseling for people who are addicted to the Internet are necessary. It is suggested that in programs to improve the status of athletes using virtual space and optimizing these spaces; Try to make use of sports capacities; He tried to improve this use among athletes to provide the basis for improving their mental health. Also, assessing the needs of sports activities among gymnasts according to their level and ability while improving their physical activity status; It provides conditions to improve their mental health.* Corresponding author's e-mail address: najafnejad.sima@gmail.com Manuscript profile -
Open Access Article
146 - An Approach toward Mystical Experiences of Mystics in Mystical Term
Jalil Niknejhad mohammad reza zaman ahmadi Shahrokh HekmatThe mystical language which tells the most mystical moments of mystic is due to the contradictory character of the paradoxical mystical experience, and one of the features of the mystic words is the same contradictory, undoubtedly reflecting on the extent and depth of t MoreThe mystical language which tells the most mystical moments of mystic is due to the contradictory character of the paradoxical mystical experience, and one of the features of the mystic words is the same contradictory, undoubtedly reflecting on the extent and depth of these conflicts and contradictions and two-way relationships They approach each look and seeker to the mystical truth of the mystics. The research effort and mission of this paper is that in the approach of the language of mysticism, the mystic experiences of the mystical experiences are found, and the characteristics, causes and obstacles of this experience Because the mystical knowledge is the result of a kind of experience, which is also called mystical experience . Manuscript profile -
Open Access Article
147 - Fatigue Life Prediction of Rivet Joints
M. M Amiri -
Open Access Article
148 - Creep Life Forecasting of Weldment
J Jelwan M Chowdhry G Pearce -
Open Access Article
149 - A Review of Weed Interference Models
rahman khakzad Mostafa Oviesi Reza DeihimfardWeeds represent a continuous problem in agricultural production due to their dynamic and resilient nature. Mathematical models offer a significant tool for understanding and predicting the crop yield losses incurred due to weed-crop interference. Weed-crop competition m MoreWeeds represent a continuous problem in agricultural production due to their dynamic and resilient nature. Mathematical models offer a significant tool for understanding and predicting the crop yield losses incurred due to weed-crop interference. Weed-crop competition models help to inform weed management decisions, both on a short-term basis to tackle the present weed population and in the long term to plan sustainable weed management strategies. Most competition studies are based on empirical models. Empirical functions are the most commonly used models, which provide information for weed threshold values. The limitations of such models are that they are based on statistical functions and usually do not consider biological insights for crop-weed interference. Crop-weed competition is a complex phenomenon, and to understand this, a detailed mechanistic model offers better insights than an empirical model. Mechanistic or explanatory models take into account all underlying processes or mechanisms and their dependence on each other with respect to time and external drivers. Competition models can be integrated within the framework of a decision support system (DSS). In this review, we present empirical and mechanistic models that are currently in use for studying crop-weed interference. Manuscript profile -
Open Access Article
150 - The aesthetic analysis of mythological contradictions in Attar's poems
Atie Mashaheri Fard Mohammad VeysiAbstract Contradiction and Conflict are an important theme within the field of philosophy and mysticism. One could argue that dichotomies are necessary categories without which the world can’t be apprehended. In addition to extending the capacity of meaning, Contr MoreAbstract Contradiction and Conflict are an important theme within the field of philosophy and mysticism. One could argue that dichotomies are necessary categories without which the world can’t be apprehended. In addition to extending the capacity of meaning, Contradiction and Conflict have an outstanding role in aesthetics of literary text. Mythical oppositions are one of the frequent elements in Attar’s poem. Analyzing the mythical opposition in Attar’s poems, it has been tried in present paper to clarify the role of mythical opposition in beauty creation and to make it clear how and in what ways the aesthetic aspect have strengthened poetry. The results of this analysis show that the aesthetic value of the mythological contradictions is due to the types of emotions that are being transmitted to the audience. The mythical oppositions in Attar's poetry convey emotion to the audience in two ways and thereby create aesthetic pleasure in him: 1- through representation and allegory; 2- through the creation of a sense of oneness and unity. Manuscript profile -
Open Access Article
151 - A look at the paradoxes of Khajoo Kermani's Divan
Pouran AlizadehParadox is one of the literary tricks that is present in oral speech, philosophy, logic and even areas of human life, and it is a poetic combination of two words that have a contradictory meaning and seem intellectually impossible. In literature, this trick is one of th MoreParadox is one of the literary tricks that is present in oral speech, philosophy, logic and even areas of human life, and it is a poetic combination of two words that have a contradictory meaning and seem intellectually impossible. In literature, this trick is one of the beautiful verbal arrangements that its beauty factor is in the astonishment that it creates in the mind of the audience. Khajoo Kermani is one of the powerful poets of the eighth century AH who has used this paradox very artistically in conveying concepts and themes; Therefore, the present study is dedicated to examining the paradox in Khajoo Divan. The method of this research is descriptive-analytical. The results show that Khajoo Kermani in his poetry collection looked at these paradoxes as one of the literary and poetic tricks and considered them from different angles and used various techniques in expressing these contrasting elements. And has provided the means to highlight his word. Manuscript profile -
Open Access Article
152 - Anvari contradictory and inconsistent mirror
tahereh khabazi mohamadreza ghariWrigley can be the greatest and the most important conflict and inconsistency of the Seljuk era mirror. On the one hand a massive legacy of Wrigley Islamic and Iranian تمدّن that contains wisdom, science, art, and poetry is inherited and the spiritual heritage of all of MoreWrigley can be the greatest and the most important conflict and inconsistency of the Seljuk era mirror. On the one hand a massive legacy of Wrigley Islamic and Iranian تمدّن that contains wisdom, science, art, and poetry is inherited and the spiritual heritage of all of it to skhreh. Wrigley has always been among the new wisdom and wisdom and mfakharh to poetry and poetry of hate in swing and other sound effects the inconsistency can be found in the words and language of Wrigley. For a better understanding of the causes of this conflict, they should be investigated and social roles anvari's poetry and his هنجارگریز. Wrigley has always been in the midst of existential truth and reality has been suspended and his social-stroke look to poetry, and very important in the understanding of these conflicts said. In the midst of his مدحی قصاید can be applied to different approaches and goals he also sought in the eulogy. Manuscript profile -
Open Access Article
153 - Almonjed Dictionary and its Persian Mu’arrab Entries
shah'baz mohseniDespite the heavy influence that Arabic has had on Persian, Arabic too has been influenced by Persian before Islam and after it. Persian words have entered Arabic and continued their usage after they underwent changes in form and pronunciation. Since the early times whe MoreDespite the heavy influence that Arabic has had on Persian, Arabic too has been influenced by Persian before Islam and after it. Persian words have entered Arabic and continued their usage after they underwent changes in form and pronunciation. Since the early times when lexicography in Arabic was traditionally done by Arabic language researchers up until now, it has been a common tradition to inspect and archive these loan words. In the present research, the Arabic words, borrowed from Persian and included in Almonjed dictionary, have been collected and discussed so that you may know the whole sack by a handful. Manuscript profile -
Open Access Article
154 - Improved NARX-ANFIS Network structure with Genetic Algorithm to optimizing Cash Flow of ATM Model
Neda kiani Ghasem Tohidi Shabnam Razavyan Nosratallah Shadnoosh Masood Sanei -
Open Access Article
155 - Prediction the Return Fluctuations with Artificial Neural Networks' Approach
Masoud Taherinia Mohsen Rashidi Baghi -
Open Access Article
156 - The Role of Earnings Management in Theoretical Development and Improving the Efficiency of Accounting-Based Financial Distress Prediction Models
Abbas Ramezanzadeh Zeidi Khosro Faghani Makarani Ali Jafari -
Open Access Article
157 - Modelling Crowdfunding Ensemble Learning Prediction
Mehran Saeidi Aghdam Akbar Alam Tabriz Alireza Bahiraie Ahmad Sadeghi -
Open Access Article
158 - Experimental Comparison of Financial Distress Prediction Models Using Imbalanced data sets
Seyed Behrooz Razavi Ghomi Alireza Mehrazin Mohammad Reza Shoorvarzi Abolghasem Masih Abadi -
Open Access Article
159 - Support Vector Regression Parameters Optimization using Golden Sine Algorithm and Its Application in Stock Market
Mohammadreza Ghanbari Mahdi Goldani -
Open Access Article
160 - Comparison of the Ability of Modern and Conventional Metaheuristic and Regression Models to Predict Stock Returns by Accounting Variables and Presenting an Effective Model
Mahmood Kohansal Kafshgari Alireza Zarei Sodani Reza Behmanesh -
Open Access Article
161 - Developing a Prediction-Based Stock Returns and Portfolio Optimization Model
Farzad Eivani Davood Jafari Seresht Abbas Aflatooni -
Open Access Article
162 - Capsule Network Regression Using Information Measures: An Application in Bitcoin Market
Mahsa Tavakoli Hassan Doosti Christophe Chesneau -
Open Access Article
163 - Developing Financial Distress Prediction Models Based on Imbalanced Dataset: Random Undersampling and Clustering Based Undersampling Approaches
Seyed behrooz Razavi ghomi Alireza Mehrazin Mohammad reza shoorvarzi Abolghasem Masih AbadiSo far, distress prediction models have been based on balanced, such sampling is not consistent with the reality of the statistical community of companies. If the data are balanced, the bias in sample selection may lead to an underestimation of typeI error and an overes MoreSo far, distress prediction models have been based on balanced, such sampling is not consistent with the reality of the statistical community of companies. If the data are balanced, the bias in sample selection may lead to an underestimation of typeI error and an overestimation of the typeII error of models. Although imbalanced data-based models are compatible with reality, they have a higher typeI error compared to balanced data-based models. The cost of typeI error is more important to Beneficiaries than the cost of typeII error. In this study, for reducing typeI error of imbalanced data-based models, random and clustering-based undersampling were used. Tested data included 760 companies since 2007-2007 with 4 different degrees and the results of the H1 to H3 test represented them. In all cases of the typeI error, typeII error of balanced data-based models were lower and more, respectively, compared to imbalanced data-based models; also, in most cases, the geometric mean of balanced data-based models was higher compared to imbalanced data-based models, respectively. The results of testing H4 to H6 show that in most cases, typeI error, typeII error and the geometric mean criterion of models based on modified imbalanced data were less, more, and more, respectiively compared to the models based on imbalanced data, in other words, applying Undersampling methods on imbalanced training data led to a decrease in typeI error and an increase in typeII error and geometric mean criteria. As a result using models based on modified imbalanced data is suggested to Beneficiaries Manuscript profile -
Open Access Article
164 - Predicting the Top and Bottom Prices of Bitcoin Using Ensemble Machine Learning
Emad Koosha Mohsen Seighaly Ebrahim Abbasi -
Open Access Article
165 - Analyzing the performance of DEA models for bankruptcy prediction in the energy sector: with emphasis on Dynamic DEA approach
Mohammad Ali Khorami Seyed Babak Ebrahimi Majid Mirzaee Ghazani -
Open Access Article
166 - Designing Prediction Model of Financial Restatements Using Neural-Genetic Simulation Algorithm
Sasan Mehrani Akbar Rahimi poorThe increased number of restatements in recent years has increased the wor-ries about the quality of financial reporting among the beneficiary groups. The pres-ence of prior period adjustments and, subsequently, the financial restatements have a negative impact on the r MoreThe increased number of restatements in recent years has increased the wor-ries about the quality of financial reporting among the beneficiary groups. The pres-ence of prior period adjustments and, subsequently, the financial restatements have a negative impact on the relatedness and reliability of the financial state-ments. The present study is aimed to present an appropriate criterion for predict-ing the financial restatements based on the Beneish model and its indices in companies admitted to the Tehran Stock & Exchange between 2009 and 2020. For this purpose, a total of 265 companies were selected considering the limitations. Also, the model estimation was per-formed using Beneish's primary model, a meta-heuristic neural network model, and optimization through genetic programming. As indicated by the obtained results based on the confusion matrix, the efficiency of the pro-posed model derived from the enhanced Beneish model with a genetic algo-rithm(S – 𝑆𝑐𝑜𝑟𝑒) had a total prediction accuracy of 73.21%, which was the highest prediction power compared to the Beneish Model . Manuscript profile -
Open Access Article
167 - Presenting an Explanatory Model of Stock Price Using Deep Learning Algorithm
Mojtaba Bavaghar Zaeimi Gholamreza Zomorodian Mehrzad Minooee Amirreza KeyghobadiThis study aimed to present an explanatory model of stock price using deep learning algorithm for companies listed in the Tehran Stock Exchange. In this study, a deep learning network was used to predict stock prices. The study was applied-developmental research in term MoreThis study aimed to present an explanatory model of stock price using deep learning algorithm for companies listed in the Tehran Stock Exchange. In this study, a deep learning network was used to predict stock prices. The study was applied-developmental research in terms of purpose. To test the research questions, accounting data were prepared from 2011 to 2020 and input variables were calculated based on it for the model. The method of systematic elimination sampling has been used in this study. The results indicated that the precisions of prediction has a high precisions in the deep learning model. The proposed algorithm was reviewed according to its prediction accuracy and modeling cost. According to the data volume, it was found that the prediction accuracy in the deep learning model has a relative superiority and the diagram of performance characteristic and AUC criteria also showed this superiority in detection power. Manuscript profile -
Open Access Article
168 - Designing a Model for Predicting Corporate Bankruptcy Using Ensemble Learning Techniques
Hossein Eghbali Alimohamad AhmadvandThe bankruptcy of corporations causes huge losses for investors, managers, creditors, employees, suppliers, and customers. If someone understands the reason for the corporate's bankruptcy, then he can save the corporate from certain death with the necessary planning. Th MoreThe bankruptcy of corporations causes huge losses for investors, managers, creditors, employees, suppliers, and customers. If someone understands the reason for the corporate's bankruptcy, then he can save the corporate from certain death with the necessary planning. Therefore, bankruptcy forecasting is the most important prerequisite for bankruptcy prevention. Due to this issue, the main aim of this article is the prediction of the economic bankrupt-cy of corporations in the Tehran Stock Exchange using group machine learn-ing algorithms. Financial ratios have been used as independent variables and healthy and bankrupt corporations as research dependent variables. The statistical population of the study is the information of financial statements of corporations on the Tehran Stock Exchange from the years 2004 to 2021. In this study, sampling is not used and corporations include two groups healthy and bankrupt. The bankrupt and non-bankrupt groups are selected based on the threshold of the Springate model. The research findings indicate that the accuracy of predicting the bankruptcy of corporations in the group learning model by stacking method is higher than other used models where the AUC and Accuracy Ratio were 0.9276 and 0.8247, respectively. Manuscript profile -
Open Access Article
169 - Predicting Social Responsibility Reporting using Financial Ratios
Mohammad Javad Zare Bahnamiri mahsa golkar niloofar BeikyThe purpose of this research is to investigate the prediction of corporate social responsibility reporting using financial ratios. To answer the research question, four prediction models of linear regression, K Nearest Neighbor, decision tree, and deep learning were inv MoreThe purpose of this research is to investigate the prediction of corporate social responsibility reporting using financial ratios. To answer the research question, four prediction models of linear regression, K Nearest Neighbor, decision tree, and deep learning were investigated. Also, 61 financial ratios were used according to previous research using data related to listed and non-listed companies of Iran from the years 2012 to 2018. According to the re-sults obtained from the estimation of each of the proposed prediction mod-els, it can be stated that the k-nearest neighbor model has the lowest RMSE value, and in fact, this model predicts the amount of social responsibility with less error than other models. The linear regression model with the high-est RMSE value has a weaker performance than other models. LSTM model and decision tree respectively had the lowest RMSE value after the k-nearest neighbor model. As a result, since the LSTM model requires a large number of test sam-ples for deeper learning, it could not achieve high performance in the evaluated data set. Based on the investigations, it can be stated that the current research does not have a similar example inside or outside of Iran. Manuscript profile -
Open Access Article
170 - Prevalence of addiction to tramadol and methadone and its complications in women - a review study
Khadijeh saravani Bahman Fouladi Leli Rezaie Kahkhaie Mohaddith Del PishehIntroduction: Tramadol and methadone are synthetic opioid drugs that are widely used in various fields today to reduce pain, on the other hand, excessive use of these drugs causes addiction and poisoning in users. Knowing the complications and symptoms of poisoning of t MoreIntroduction: Tramadol and methadone are synthetic opioid drugs that are widely used in various fields today to reduce pain, on the other hand, excessive use of these drugs causes addiction and poisoning in users. Knowing the complications and symptoms of poisoning of these drugs, along with the prevalence of their consumption, can be used to take the necessary measures to limit arbitrary consumption and prevent poisoning in consumers, especially in women who form the foundation of society and family. It can be helpful.Materials and methods: This article is a systematic review to investigate the prevalence of tramadol and methadone use and the side effects of long-term use in women. In this research, the search was conducted in SID, MagIran, Pubmed, Medline and Google Scholar electronic databases and due to the large volume of study articles, it was limited to the years 2000 to 2022.Results and conclusions: By summarizing the findings of the studies, tramadol and methadone drugs are used by a wide range of people with different demographic conditions. The statistics of addiction in young people and the complications caused by women's addiction are far more than other groups. Considering the current conditions, it is necessary to be aware of the potential dangers of these two drugs and monitor their distribution and administration. Manuscript profile -
Open Access Article
171 - Thermal anomalies detection before earthquake using three filters (Fourier, Wavelet and Logarithmic Differential Filter), A Case study of two earthquakes in Iran
Sina Saber Mahani Marzieh Khalili -
Open Access Article
172 - A Robust Methodology for Prediction of DT Wireline Log
Sh. Maleki A. Moradzadeh R. Ghavami F. SadeghzadehDT log is one of the most frequently used wireline logs to determine compression wave velocity. This log is commonly used to gain insight into the elastic and petrophysical parameters of reservoir rocks. Acquisition of DT log is, however, a very expensive and time consu MoreDT log is one of the most frequently used wireline logs to determine compression wave velocity. This log is commonly used to gain insight into the elastic and petrophysical parameters of reservoir rocks. Acquisition of DT log is, however, a very expensive and time consuming task. Thus prediction of this log by any means can be a great help by decreasing the amount of money that needs to be allocated for acquisition. Support vector machine (SVM) is one of the best artificial intelligence techniques proven to be a reliable method in the prediction of various real world problems. The aim of this paper is to use SVM to predict the DT log data of a well located in the southern oilfields of Iran. By comparing the results of SVM with those obtained by a Back Propagation Neural Network (BPNN) we were able to verify the accuracy of SVM in the prediction of P-wave velocity. Hence, this method is recommended as a cost effective tool in the prediction of P- wave velocity Manuscript profile -
Open Access Article
173 - Modeling the Amount of Required Energy and Kinetics of Lavender Drying Using Artificial Neural Network
Mohammad Younesi Alamooti Hamid Khafajeh Mohammad ZareinLavender with the scientific name Lavandula stricta Del is a perennial medicinal plant with a height of about half a meter that grows in different regions of Iran. Drying is one of the oldest methods of preserving materials. The use of neural networks can be used in the MoreLavender with the scientific name Lavandula stricta Del is a perennial medicinal plant with a height of about half a meter that grows in different regions of Iran. Drying is one of the oldest methods of preserving materials. The use of neural networks can be used in the design and selection of optimal working conditions and dryer control. In this study, various parameters of drying, evaluation of mathematical models to determine the best model, evaluation of different topologies of MLP artificial neural network to determine the best network for lavender plant with microwave dryer with power range of 100-1000 watts and The frequency of 2450 MHz is provided in four power levels of 300, 500, 700 and 900 watts. MLP artificial neural network was used to predict the relationship between drying kinetic parameters (moisture ratio and drying rate) and efficiency of energy consumption with changes in microwave power consumption using Statistica software. Among the fitted models, the Midili model was chosen as the best model according to R 2, χ 2 and RMSE criteria. Microwave power levels had an effect on drying time, with drying times of 3 minutes for 900 W power and 11 minutes for 300 W power. In order to predict drying kinetic parameters and energy consumption efficiency, MLP network with one input and three outputs was successfully used. The results generally showed that the MLP artificial neural network is a very powerful tool in predicting drying kinetic parameters and energy efficiency of lavender medicinal plant based on microwave power consumption values. Manuscript profile -
Open Access Article
174 - Predicting Banks' Financial Distress by Data Envelopment Analysis Model and CAMELS Indicators
Abass Paidar Morteza Shafiee Fariborz Avazzadeh Hashem Valipour -
Open Access Article
175 - A Stock Market Prediction Model Based on Deep Learning Networks
seyyedeh mozhgan Beheshti Masalegou Mohammad-Ali Afshar-Kazemie jalal haghighat monfared Ali Rezaeian -
Open Access Article
176 - Application of Genetic Algorithm in Development of Bankruptcy Predication Theory Case Study: Companies Listed on Tehran Stock Exchange
Mohsen Hajiamiri Mohammad Reza Shahraki Seyyed Masoud Barakati -
Open Access Article
177 - Determine the Factors Associated with Delinquency Women in Cyberspace, with an Emphasis on Internet Addiction
Zinat Sadat Marashian Seyed Saeed KashfiThe aim of this study was to determine the factors associated with delinquency women in cyberspace, with an emphasis on Internet addiction in the city of Ahvaz. The sample consisted of 200 people from the community which were selected by available sampling. To measure t MoreThe aim of this study was to determine the factors associated with delinquency women in cyberspace, with an emphasis on Internet addiction in the city of Ahvaz. The sample consisted of 200 people from the community which were selected by available sampling. To measure the variables of coping strategies questionnaire Ayati factors that influence crime and Kimberly Young's Internet Addiction Test was used. To analyze the data, Pearson's correlation and multiple regressions were used. The results showed that there was Significant positive relationship between Economic poverty of family and Internet Addiction, Bad friends and Internet Addiction, Leisure activities and Internet Addiction, social problems of family and Internet Addiction in women.But there was Significant negative relationship between Family adherence to religion and Internet Addiction. Also regression analysis showed that Among the predictors, bad friends, Economic poverty of family, social problems of family can predict the trend of the Internet in women . Manuscript profile -
Open Access Article
178 - A Qualitative Study Of The Phenomenon Of Women Addiction To Shopping
Akram Hobbi Bahman MohammadbakhshThe aim of this study was to investigate the individual, psychological, economic, social, and cultural factors affecting the women to shopping addiction.The general approach of the research was a qualitative approach, based on the experimental phenomenology and implying MoreThe aim of this study was to investigate the individual, psychological, economic, social, and cultural factors affecting the women to shopping addiction.The general approach of the research was a qualitative approach, based on the experimental phenomenology and implying the lived experience research tradition through the process of deep interview. In this regard, via using the purposive (judgmental) sampling method, the experiences of 15 women were collected and analyzed through the three-step; open, axial and selective coding process. The results were presented in causal, contextual, interventionist, and strategic conditions of classification and its consequences. The findings indicated that the present conditions such as anxiety and depression, emotion-seeking, negative emotions, failure in different parts of life, self-anger, tendency to prove superiority, overemphasis on others' views, hopelessness An unpleasant impression of appearance, thirst for shopping, and so on, if left unchecked, could lead to addiction to shopping and have consequences for the individual and those around him. Manuscript profile -
Open Access Article
179 - استفاده از روشهای شبکه عصبی موجکی و سیستم استنتاج فازی عصبی تطبیقی در پیشبینی بارش ماهانه
اباذر سلگی حیدر زارعی بهداد فلامرزیپیش بینی بارش به دلیل ماهیت تصادفی آن در مکان و زمان همواره با مشکلات بسیاری مواجه بوده است و این عدم قطعیت از اعتبار بسیاری از مدل های پیش بینی می کاهد. امروزه شبکه های غیرخطی به عنوان یکی از سیستم های هوشمند در پیش بینی یک چنین پدیده های پیچیده ای بسیار مورد استفاده ق Moreپیش بینی بارش به دلیل ماهیت تصادفی آن در مکان و زمان همواره با مشکلات بسیاری مواجه بوده است و این عدم قطعیت از اعتبار بسیاری از مدل های پیش بینی می کاهد. امروزه شبکه های غیرخطی به عنوان یکی از سیستم های هوشمند در پیش بینی یک چنین پدیده های پیچیده ای بسیار مورد استفاده قرار می گیرند. یکی از روش هایی که در سال های اخیر در زمینه هیدرولوژی مورد توجه قرار گرفته است، استفاده از تبدیل موجک به عنوان روشی نوین و مؤثر در زمینه آنالیز سیگنال ها و سری های زمانی است. در پژوهش حاضر، تجزیه و تحلیل موجک به صورت ترکیب با شبکه عصبی مصنوعی و مقایسه با سیستم استنتاج فازی- عصبی تطبیقی برای پیش بینی بارش ایستگاه وراینه در شهرستان نهاوند انجام شد. برای این منظور، سری زمانی اصلی با استفاده از تئوری موجک به چندین زیرسیگنال زمانی تجزیه شد، پس از آن این زیرسیگنال ها به عنوان داده های ورودی به شبکه عصبی مصنوعی برای پیش بینی بارش ماهانه استفاده شد. نتایج به دست آمده نشان داد که مدل ترکیبی موجک- شبکه عصبی عملکرد بهتری نسبت به مدل سیستم استنتاج فازی- عصبی تطبیقی دارد و می تواند برای پیش بینی بارش کوتاه مدت و بلند مدت استفاده شود. همچنین نتایج نشان داد که مدل ترکیبی موجک- شبکه عصبی در برآورد نقاط حدی به خوبی عمل می کند. Manuscript profile -
Open Access Article
180 - تغییرات شوری اعماق خاک در اثر آبیاری با آب شور
وحید یزدانی سپیده یکه باش محمد سلطانیاین تحقیق به منظور بررسی تاثیر شوری آب آبیاری بر کیفیت خاک در سطح و اعماق انجام گرفت. در این تحقیق از نسبت­های مختلف سنگ نمک طبیعی و آب چاه با دبی 35 لیتر در ثانیه (در مختصات ً5/39 َ27 º59 و ً2/39 َ27 º36) به منظور ایجاد شوری­های متفاوت در Moreاین تحقیق به منظور بررسی تاثیر شوری آب آبیاری بر کیفیت خاک در سطح و اعماق انجام گرفت. در این تحقیق از نسبت­های مختلف سنگ نمک طبیعی و آب چاه با دبی 35 لیتر در ثانیه (در مختصات ً5/39 َ27 º59 و ً2/39 َ27 º36) به منظور ایجاد شوری­های متفاوت در شرایط کشت کلزا استفاده شد. در شرایط ماندگار، در یک غلظت مشخص از آب آبیاری، توزیع متفاوت در جذب آب سبب توزیع متفاوت شوری در خاک می­شود. بر این اساس، از معادلات تابع جذب آب نمایی، ذوزنقه­ای و الگوی جذب جهت بررسی تغییرات شوری استفاده شد. نتایج نشان داد با افزایش زمان بعد از کاشت و اعمال تیمار­های مختلف آبیاری، مقدار شوری عصاره اشباع خاک در اعماق مختلف خاک افزایش می­یابد. در 3 تاریخ اولیه مقدار تفاوت در EC عصاره اشباع خاک خیلی زیاد نیست و در تاریخ 4 و 5 نمونه‎برداری (یعنی 102 و 118 روز بعد از کشت کلزا) مقدار تفاوت­ها بیشتر می­شود. دلیل تفاوت کم در تاریخ‎های 56، 71 و 87 روز بعد از کشت کلزا، وجود بارش در این مدت می­باشد. در 71 روز بعد از کشت کلزا مقدار EC عصاره اشباع در اغلب تیمار­ها کاهش داشت و از روند افزایشی پیروی نمی­کرد که دلیل آن وقوع بارش در بازه اول الی 15 خرداد بود؛ که باعث آب‎شویی املاح شده و EC عصاره اشباع خاک کاهش یافته است. البته باید اشاره داشت که در تیمار I4 چنین روندی مشاهده نمی­گردد. زیرا کم‎آبیاری شدید در این تیمار باعث تجمع املاح در سطح خاک شده است که بارش­ها تنها سطح خاک را آب‎شویی نموده و املاح را به اعماق پایین‎تر منتقل کرده است. نتایج نشان داد که مدل ذوزنقه­ای قادر به پیش‎بینی شوری عصاره اشباع خاک نمی­باشد. این روش شوری عصاره اشباع خاک را بسیار بیشتر از واقعیت برآورد می­کند و نتایج آن تنها در شوری 5/0 دسی زیمنس بر متر تاحدودی قابل قبول است. در مقابل، نتایج دو مدل دیگر یعنی مدل نمایی و مدل تابع جذب، نتایج مناسب‎تری را ارائه دادند. مدل نمایی در این سه سطح آبیاری دارای دقت قابل قبول­تری نسبت به مدل تابع جذب بود. Manuscript profile -
Open Access Article
181 - ارزیابی مدلهای سری زمانی SARIMAدر برآورد جریان ماهانه در ایستگاه هیدرومتری ایدنک
عباس احمدپور حسین فتحیان جبرائیل قربانیاندبی جریان آبراههها ازجمله مهمترین داده هیدرولوژیکی هستند و به عنوان اطلاعات پایه در بسیاری از فعالیتهای مرتبط با منابع آب در نقاط مختلف جهان استفاده میشوند. یکی از ابزارهای مهم در مدلسازی فرآیندهای هیدرولوژیکی استفاده از مدلهای سری زمانی است. جریان آبراهه برآوردشده Moreدبی جریان آبراههها ازجمله مهمترین داده هیدرولوژیکی هستند و به عنوان اطلاعات پایه در بسیاری از فعالیتهای مرتبط با منابع آب در نقاط مختلف جهان استفاده میشوند. یکی از ابزارهای مهم در مدلسازی فرآیندهای هیدرولوژیکی استفاده از مدلهای سری زمانی است. جریان آبراهه برآوردشده با استفاده از مدلهای سری زمانی در مطالعات مختلفی نظیر خشکسالی، سیلاب، طراحی سیستم های مخازن و مدیریت منابع آب قابل استفاده میباشد. این امر بخصوص در مناطق خشک اهمیت بیشتری دارد. در این مقاله به ارزیابی دقت مدلهای سری زمانی SARIMA در برآورد جریان ماهانه در ایستگاه هیدرومتری ایدنک پرداخته میشود. برای این منظور از دادههای دبی جریان ماهانه این ایستگاه به مدت 30 سال، طی سالهای (1390-1361) استفاده شده است. برای صحتسنجی مدلهای سری زمانی SARIMA برازش یافته، از مقادیر آماره آزمون پورت مانتو، و باقیماندهای توابع خودهمبستگی و خودهمبستگی جزیی استفاده شد و برای انتخاب بهترین مدل SARIMA، از معیار اکائیکه اصلاحشده (AIK) و معیار بیزین شوارتز ((SBC بهره گرفتهشد. نتایج این تحقیق نشان میدهد که از بین مدلهای مناسب برازش یافته بر دبی جریان ماهانه در ایستگاه هیدرومتری ایدنک،مدلهای SARIMA(1,0,1)*(2,0,2)12،SARIMA(2,0,2)*(2,0,2)12 و SARIMA(1,0,2)*(2,0,2)12 به ترتیب در اولویت اول، دوم و سوم از لحاظ دقت در برآورد دبی جریان برخوردار می باشند. Manuscript profile -
Open Access Article
182 - Identifying the influencing factors in customer churn of Kurdistan Telecommunications Company and presenting models for predicting churn using machine learning algorithms
vida sadeghi Anvar Bahrampour Seyed Ali HosseiniThe main sources of income and assets are important for any organization. With this view, companies have started to do more to maintain health. Since in many companies the cost of acquiring a new customer is much higher than actual customer satisfaction, customer churn MoreThe main sources of income and assets are important for any organization. With this view, companies have started to do more to maintain health. Since in many companies the cost of acquiring a new customer is much higher than actual customer satisfaction, customer churn has become the main area of evaluation for these companies. Client-facing companies, including those active in the technology industry, are facing a major challenge due to customer attrition. With the rapid development of the telecommunications industry, dropout prediction becomes one of the main activities in gaining a competitive advantage in the market. Predicting customer churn allows operators a period of time to remediate and implement a series of preventative measures before customers migrate to other operators. In this research, a decision support system for predicting and estimating the churn of customers of Kurdistan Telecommunication Company (with 52,900 subscribers) with different data-mining and machine methods (including simple linear regression (SLR), multiple linear regression (MLR). Polynomial regression. (PR), logistic regression, artificial neural networks, Adabust and random forest) are presented. The results of the evaluations carried out on the data set of the Kurdistan Province Telecommunication Company, the high performance of artificial neural network methods with 99.9% accuracy, Adabust with 99.9% accuracy, 100% accuracy and random forest It shows 100% with accuracy. Manuscript profile -
Open Access Article
183 - A Learning Automaton Based Algorithm for Bankruptcy Prediction of Acceptable Firms within Power and Energy Exchange
Seyed Mahdi Mazhari Hassan Monsef Hooman MirzaeiIn today's world, insurance of productive capital investment and reducing economic risk causes more fundraising and therefore the greatest economic boom cycle. One way to arrive capital investment security is to predict bankruptcy of a business unit. As the Iranian powe MoreIn today's world, insurance of productive capital investment and reducing economic risk causes more fundraising and therefore the greatest economic boom cycle. One way to arrive capital investment security is to predict bankruptcy of a business unit. As the Iranian power and energy stock is going to start working by 2012, providing suitable bits of advice to investors would be a priority. This paper proposes a new solution approach for bankruptcy prediction of the Iranian power and energy industries. To do so, an evolutionary algorithm premised on Learning Automata is employed and adapted to the problem. Two sets of firms related to power and energy industries that are listed on the Tehran Stock Exchange (TSE) are selected as the training and test data, respectively. The developed algorithm is conducted on both train and test data, and the efficiency of the proposed method is evaluated via several scenarios. It was practically seen in simulations that the learning automata-based algorithm could achieve an accuracy of 91% and 88% over the train and test data, respectively. Besides these, the same data sets are also conducted by other methods such as MDA and Logit, and the obtained results are compared with reality. The yielded results prove the accuracy as well as the efficiency of the proposed solution technique Manuscript profile -
Open Access Article
184 - The prevalence of Internet addiction among students and its relationship with family function: The mediating role of the perceived social support
Majid Sadoughi Amene MarkoubiThe present study aimed to survey the prevalence of Internet addiction and its relationship with family function by considering the mediating role of the perceived social support among university students. A descriptive design was used to examine the prevalence of the I MoreThe present study aimed to survey the prevalence of Internet addiction and its relationship with family function by considering the mediating role of the perceived social support among university students. A descriptive design was used to examine the prevalence of the Internet addiction while a correlation design was utilized to explore the relationship between family function, perceived social support, and Internet addiction. The statistical population was all students studying in the University of Kashan in the 2015-2016 academic year. 260 students were chosen via multi-stage sampling. The data collection instruments included Family Assessment Device (FAD), Young's Internet Addiction test (IAT), and Zimet Perceived Social Support. The findings indicated that 1.5% of the students were addicted to the Internet, and there is statistically significant negative relationship between the components of family function and Internet use. In addition, the structural equation modelling results showed that family function and social support can predict excessive Internet use and explain 17% of its variance. Furthermore, the perceived social support has a mediating role in the relationship between family function and excessive Internet use. Manuscript profile -
Open Access Article
185 - The causal relationship of diffuse-avoidant style, self-efficacy and moral intelligence with addiction potential by the intermediation of sensation seeking within the male students
najmeh hamid salman hajizadeh seyedali marashy salman hajyThe purpose of this study was to examine the sample of casual relationship of diffuse-avoidant style, self-efficacy and moral intelligence with addiction potential by the intermediation of sensation seeking within male students of Shahid Chamran University in Ahvaz. The MoreThe purpose of this study was to examine the sample of casual relationship of diffuse-avoidant style, self-efficacy and moral intelligence with addiction potential by the intermediation of sensation seeking within male students of Shahid Chamran University in Ahvaz. The population of the study included all the male students of Shahid Chamran University in Ahvaz. A sample of 300 subjects was selected by using the multi-stage ratio random sampling method. Berzonsky Identity Styles Inventory, Schwarezer & Jerusalem Self-Efficacy Scale, Lennick & Kiel Moral Intelligence Scale, Arnett Inventory of Sensation Seeking and Iranian Addiction Potential Scale were used to measure the variants. Evaluation of the proposed model was made by path analysis. The results showed that all coefficients of the path between variants were statistically significant in the sample totally. Moreover, the direct paths of diffuse-avoidant style, self-efficacy, moral intelligence and sensation seeking to addiction potential were statistically significant. The direct paths of diffuse-avoidant style, self-efficacy and moral intelligence to sensation seeking were significant, as well. On the other side, the results revealed that the indirect relationship of diffuse-avoidant style, self-efficacy and moral intelligence with addiction potential also were significant through sensation seeking. Manuscript profile -
Open Access Article
186 - Predicting academic performance based on internet addiction and academic stress in high school male students in Ahvaz
hasan monjezi alireza heidariAcademic life is one of the most important aspects of each person's life that can affect other aspects of life. While the issue of academic decline and low level of academic performance of pupils and students is one of the main problems of the academic life of individua MoreAcademic life is one of the most important aspects of each person's life that can affect other aspects of life. While the issue of academic decline and low level of academic performance of pupils and students is one of the main problems of the academic life of individuals and the educational system of each country; Accordingly, this study was conducted to investigate the prediction of academic performance based on Internet addiction and academic stress in male high school male students in Ahvaz. In this correlational study, the statistical population consisted of all male high school students in Ahvaz in the academic year 2020-2021, which were selected as a sample by stratified cluster sampling of 255 people. To collect data to assess academic performance index, students' GPA and questionnaires of Internet Addiction of Young (1988) & academic stress of Sun, Don, Hu and Zhou (2011) were used. Data were analyzed by using pearson correlation and step wiseregressionsThe results showed that internet addiction had a negative and significant relationship with academic performance and academic stress had a negative and significant relationship with academic performance. Internet addiction and academic stress predicted 44% of the variance related to students 'academic performance, and internet addiction had a greater share in students' academic performance. According to the results, the importance of paying attention to internet addiction and academic stress in academic performance is felt more than before. Academic performance seems to be influenced by other factors and their interactive effects. Manuscript profile -
Open Access Article
187 - Comparison the Emotional and Social Intelligence, Academic Anxiety and Epistemological Beliefs in Internet Addicted and Non-Addicted Students
Najibeh Akbarzadeh Vahid Fallah Seyedeh Esmat RasooliThis research aimed to comparison the emotional and social intelligence, academic anxiety and epistemological beliefs in internet addicted and non-addicted students. The present study was applied in terms of purpose and was comparative causal in terms of procedure metho MoreThis research aimed to comparison the emotional and social intelligence, academic anxiety and epistemological beliefs in internet addicted and non-addicted students. The present study was applied in terms of purpose and was comparative causal in terms of procedure method. The study population was the second high school students of Babol city in the academic years 2018-19. Based on the Cochran's formula, the sample size was estimated 374 people, who were selected by multi-stage cluster sampling method. Data collection tools included the questionnaires of internet addiction (Young, 1998), emotional intelligence (Bradberry & Graves, 2004), social intelligence (Silvera & et al, 2001), academic anxiety (Philips, 1979) and epistemological beliefs (Schommer, 1993). To analyze the data was used from multivariate analysis of variance with using SPSS-20 software. The findings showed that internet addicted and non-addicted students were significantly different in terms of all four variables of emotional and social intelligence, academic anxiety and epistemological beliefs (p < 0.05). In the other words, internet addicted students than internet non-addicted students were at a lower level in terms of emotional intelligence, social intelligence and epistemological beliefs and higher in terms of academic anxiety. According to the results of the present study, internet addicted students in compared to internet non-addicted students were in a more unfavorable position in terms of all four variables of emotional and social intelligence, academic anxiety and epistemological beliefs. Therefore, it is necessary for education experts, school psychologists and counselors to hold courses and workshops for students and their families to understand the phenomenon of internet addiction and its consequences and thereby reducing their internet addiction. Manuscript profile -
Open Access Article
188 - Developing and testing of the causal model of students' tendency to addiction based on differentiation through alexithymia and responsibility
Shabnam Kamkar Noorali Farrokhi Hossein Salimi Bajestani mozhgan mardani radThe purpose of this study was to develop and test a causal model of students' tendency to addiction based on differentiation through alexithymia and responsibility. The research method was descriptive and correlational. The statistical population of the study included a MoreThe purpose of this study was to develop and test a causal model of students' tendency to addiction based on differentiation through alexithymia and responsibility. The research method was descriptive and correlational. The statistical population of the study included all undergraduate students of Azad University units in Tehran in the academic year of 2018-19. Cluster sampling was used to select the sample under study, with 350 students being selected as the sample group. Research instruments included the the Wade and Butcher Addiction Scale (1992), the Toronto Alexithymia Scale (1994), the Scorn and Friedlander Differentiation Scale (1998), Nemati Responsibility Scale (1387). They were. Descriptive (mean, standard deviation, tilting and elongation) and inferential (structural equation modeling) methods were used for data analysis using SPSS and Amos software. The results of the measurement model analysis showed that the factor structure of the research scales was acceptable. The results of the conceptual model test indicated that the fit indices of the research model were in good condition. The hypothesis regarding the indirect effect of differentiation on students' tendency to addiction through alexithymia and responsibility was confirmed (p <0.05). The findings of the study indicated that the conceptual model of the research was appropriate. Accordingly, in addiction treatment clinics, attention to antidepressant antecedents and differentiation is necessary to reduce the level of tendency to addiction. . Subsequent results of the study showed that the hypothesis regarding the indirect effect of differentiation on students' addiction tendency mediated by emotional malaise and responsibility was rejected by 95%. Manuscript profile -
Open Access Article
189 - Comparing the effect of social skills and life skills (Assertiveness, problem solving and anger control) on preparation for addiction, aggression and substance abuse in ninth grade female students
sasan bavi Soheila Ostad AbbasiThe purpose of the present study was to compare the effects of social skills training and life skills (assertiveness, problem solving and anger control) on addiction preparedness, aggression, and attitude toward substance use among 9th grade female students in Ahvaz. Th MoreThe purpose of the present study was to compare the effects of social skills training and life skills (assertiveness, problem solving and anger control) on addiction preparedness, aggression, and attitude toward substance use among 9th grade female students in Ahvaz. This study was a field trial with pre-test and post-test with control group. The statistical population of all the ninth grade female students of Ahwaz city were 60 girl students who were selected by multistage random sampling. The instruments used were: Addiction Preparation Scale, Addiction Attitude Questionnaire and Ahwaz Aggression Scale. Descriptive statistics (mean and standard deviation) and inferential statistics (Mancova, one-way analysis of variance, and Bonferroni post hoc test) were used for data analysis. The results showed that social skills and life skills training had a significant effect on decreasing addiction readiness, changing attitudes towards drugs and decreasing aggression among students. Also, life skills training had a more significant impact than social skills training on decreasing drug readiness, changing attitudes toward substance use and aggression. It can be said that teaching social skills and life skills to students has a significant role in preventing social harm, especially addiction. Manuscript profile -
Open Access Article
190 - Relationship between psychological variables and psychological symptoms with Internet addiction (a review study)
Faezeh khanlari Hadi FarhadiAbstractThis research aimed to determine the relationship between psychological variables and psychological symptoms with Internet addiction.Reputable English scientific databases were used, including Google scholar, Science Direct, Scopus, Pubmed, Springer link, Lieber MoreAbstractThis research aimed to determine the relationship between psychological variables and psychological symptoms with Internet addiction.Reputable English scientific databases were used, including Google scholar, Science Direct, Scopus, Pubmed, Springer link, Liebertpub, and Researchgate. Also, valid Persian databases were used to find relevant Iranian papers, including Migiran, Irandak, Civilica, and the Comprehensive portal of humanities. Reputable English scientific databases were used, including Google scholar, Science Direct, Scopus, Pubmed, Springer link, Liebertpub, and Researchgate. Also, valid Persian databases were used to find relevant Iranian papers, including Migiran, Irandak, Civilica, and the Comprehensive portal of humanities. The study's results showed that, in general, previous researchers had found a significant relationship between the psychological symptoms defined in the current research and Internet addiction. The researchers also found some conflicting data discussed in the present study. As a therapeutic and educational guideline, this research showed how traumatic psychological components play a role in Internet addiction from the psychological, personality, emotional and educational aspects. Also, the current research clarifies the necessity of screening children and adolescents with the mentioned characteristics to provide specialized psychological services and empower them. Manuscript profile -
Open Access Article
191 - Effectiveness of virtual training of quality of life therapy on work-family conflict, work addiction, mental health and interpersonal interactions in working employees
Maedeh mokhtari karchegani Hadi FarhadiAbstractThe present research was conducted with the aim of the effectiveness of virtual training of quality of life therapy on work-family conflict, work addiction, mental health and interpersonal interactions in working employees. The research method was a semi-experim MoreAbstractThe present research was conducted with the aim of the effectiveness of virtual training of quality of life therapy on work-family conflict, work addiction, mental health and interpersonal interactions in working employees. The research method was a semi-experimental research method with experimental and control groups and pre-test-post-test and follow up. The statistical population included all secondary school female teachers in Isfahan city in the academic year of 2021-2020, 30 female teachers were selected by random sampling and randomly assigned to two experimental groups (15 people) and a control group (15 people). The experimental group underwent 8 90-minute virtual training of quality of life therapy and the control group remained on the waiting list. Both groups were evaluated in the pre-test, post-test and follow up stages by work-family conflict questionnaire (Carlson et al., 2000) General Health Questioner(Goldberg, 1979), Work addiction questionnaire(Spence & Robbins, 1992) and Interpersonal interactions questionnaire(Mack Alister, 1995). In order to analyze the data, statistical methods and SPSS version 23 software and repeated measures analysis were used. The findings showed that that virtual training of quality of life therapy has a significant effect on work-family conflict, work addiction, mental health and interpersonal interactions (p<0.001). As a result, virtual training of quality of life therapy as an effective therapy can help to improve mental health. Therefore, it is suggested that counselors and psychologists pay special attention to virtual training of quality of life therapy to reduce work-family conflict and work addiction and increase mental health and interpersonal interactions. Manuscript profile -
Open Access Article
192 - Prediction of Internet addiction based on resilience and motivational self-talk in adolescents
shekoofeh mottaghi tahera gholami Mohammadreza FarzanExcessive and incorrect use of the Internet and related technologies by adolescents is one of the common and important problems of our society. Addiction to the Internet in adolescents has negative and destructive consequences for them and the society. Therefore, the pr MoreExcessive and incorrect use of the Internet and related technologies by adolescents is one of the common and important problems of our society. Addiction to the Internet in adolescents has negative and destructive consequences for them and the society. Therefore, the present research was conducted with the purpose of predicting Internet addiction based on resilience and motivational self-talk in adolescents. This research was descriptive of the correlation type. The statistical population of this research included all second year high school students of Bahabad city in 2018, of which 100 were selected by multi-stage cluster sampling method. The tools used in this research were Internet Addiction Questionnaire (Young, 2009), Resilience Questionnaire (Connor & Davidson, 2003), and Motivational Self-Talk Questionnaire (Brinthaupt, et al., 2009). Data analysis was done using SPSS-21 statistical software and statistical methods of Pearson's correlation coefficient and regression analysis. The findings showed that there was a negative and significant relationship between resilience and motivational self-talk with Internet addiction in adolescents. Also, there was a positive and significant relationship between resilience and motivational self-talk. In addition, 14% of the variance of internet addiction readiness is explained and predicted by resilience with beta (0.294) and motivational self-talk with beta (0.181). Therefore, considering that Internet addiction in adolescents can have adverse physical and psychological effects, it is very important to pay attention to the role of resilience and motivational self-talk in preventing possible problems. Manuscript profile -
Open Access Article
193 - Meta-analysis of the treatment of Internet addiction, computer game addiction and Workaholism.
Maryam Khorasani Ferdavani Hadi FarhadiAccording to the research findings of various studies regarding effective treatments for internet addiction, computer game addiction, and work addiction, meta-analysis is necessary. The aim of the current research is meta-analysis of the treatment of Internet addiction, MoreAccording to the research findings of various studies regarding effective treatments for internet addiction, computer game addiction, and work addiction, meta-analysis is necessary. The aim of the current research is meta-analysis of the treatment of Internet addiction, computer game addiction and work addiction. The method of the present research was meta-analysis. For this purpose, from all the reference texts in the range of 2010 to 2023 for foreign studies and 2011 to 2022 for domestic documents, using the selective sampling method and In the form of a head count of researches that examine the treatment of Internet addiction, addiction They were selected for computer games and work addiction. In total, among the 39 studies collected, 28 studies were analyzed. The findings of this research showed that the techniques of cognitive-behavioral therapy, mindfulness and drug therapy (bupropion) constitute the majority of treatment methods for Internet addiction, computer game addiction and work addiction. Quality of life therapy has had the greatest Impact on Internet addiction, followed by social-cognitive interventions and cognitive-behavioral therapy. Theater therapy has had the greatest impact on game addiction and meditation mindfulness training has had the greatest impact on work addiction. Manuscript profile -
Open Access Article
194 - Effectiveness of emotional intelligence training on addiction potential among male Students
behnam karami rad Yadollah Zargar Mahnaz Mehrabizade honarmandPurpose: The present study was carried out to investigate the Effectiveness of emotional intelligence training on addiction potential among male Students of Ahvaz Shahid Chamran University. Method: This study was conducted as an experimental with pre-test and post-test MorePurpose: The present study was carried out to investigate the Effectiveness of emotional intelligence training on addiction potential among male Students of Ahvaz Shahid Chamran University. Method: This study was conducted as an experimental with pre-test and post-test and with a control group. The Statistical population was consisted of undergraduate male students enrolled in Shahid Chamran University of Ahvaz between 91-92. The Study Samples by multistage random sampling, from 600 prototypes, were selected 30 individuals who possess the criteria for entering the groups. The test group after 8 training sessions (2 times a week) and a control group without any intervention simultaneously have completed the post-test. The study main Measure was addiction potential scale of Zargar (1385). Results: analysis of univariate covariance (ANCOVA) indicate the effectiveness of emotional intelligence training on reducing students addiction potential. Conclusion: Emotional intelligence training is effective in reducing student addiction potential. Manuscript profile -
Open Access Article
195 - Investigating the element of prophecy in the heroic system of shahriarnameh
Morteza Maghsudinejad Majid Hajizadeh Maryam gholamrezabeigiAbstractConsidering the necessity of research in epic poems after Shahnameh and with the aim of knowing more about their various aspects, in this article the used method is library research based on description and content analysis the "element of prophecy" in the poem MoreAbstractConsidering the necessity of research in epic poems after Shahnameh and with the aim of knowing more about their various aspects, in this article the used method is library research based on description and content analysis the "element of prophecy" in the poem "Shahriarnameh" of Mokhtari's epopee. There are about twenty-seven different predictions in the Shahriarnameh system. The most important of these prophecies is the prophecy about the grudge and revenge of Bahman, Esfandiar's son from the Zal family, which has been mentioned eight times by different people in different sections. The predictions of Shahriarnameh are often based on dreams, astronomical rulings and with the help of Soroush or with miraculous tools and objects such as the Cup of Wisdom, the Mirror of Wisdom and the Golden Tablet, by wise men and ministers, especially Jamasp, astrologers, priests . The subject of dreaming and dreaming of characters, especially the protagonist, is one of the main axes in epic poems and is also reflected in Shahriarnameh. Some of the dreams of Shahriarnameh have a prophetic aspect and others are based on commands, prohibitions and advices. Dreams that have a predictive aspect in many cases untie the knot of events and hardships and free the heroes and heroines of the story from the clutches of troubles .Keywords: Shahriarnameh, Astronomical Rulings , Prediction , Tool Prediction , Sleep Manuscript profile -
Open Access Article
196 - Another reading of a couplet of Hafez
Yadollah PashabadiAngles of reflection and careful about the words and meanings of Hafez Shirazi has discovered his poems leads. What this study is to explore and analyze is the couplet:این همه شعبدة خویش که میکرد اینجا سامری پیش عصا و ید بیضا میکردmeaning: It's all the black magic him MoreAngles of reflection and careful about the words and meanings of Hafez Shirazi has discovered his poems leads. What this study is to explore and analyze is the couplet:این همه شعبدة خویش که میکرد اینجا سامری پیش عصا و ید بیضا میکردmeaning: It's all the black magic himselve to do, Samaritan ago cane and iodine infrount of the Mousas miracle.In this paper, a proposal on how to read these couplet, based on the reasoning and finding point of view and details related to this couplet has been proposed in order to overcome the complexity and the paraphrase on this couplet, and based on the hypothesis compositionall second verse, and descriptive analysis was performed. The deconstruction of it, confirming the hypothesis that.***Angles of reflection and careful about the words and meanings of Hafez Shirazi has discovered his poems leads. What this study is to explore and analyze is the couplet:این همه شعبدة خویش که میکرد اینجا سامری پیش عصا و ید بیضا میکردmeaning: It's all the black magic himselve to do, Samaritan ago cane and iodine infrount of the Mousas miracle.In this paper, a proposal on how to read these couplet, based on the reasoning and finding point of view and details related to this couplet has been proposed in order to overcome the complexity and the paraphrase on this couplet, and based on the hypothesis compositionall second verse, and descriptive analysis was performed. The deconstruction of it, confirming the hypothesis that. Manuscript profile -
Open Access Article
197 - Counsel in The National Epics of Iran
Hadi YousefiIn this paper, counsel and consultation among the negative characters, or antagonists, in the national epic of Iran, are reviewed in analytic-descriptive approach. Antagonists and, in some occasions, generals consult with officials when important issues determini MoreIn this paper, counsel and consultation among the negative characters, or antagonists, in the national epic of Iran, are reviewed in analytic-descriptive approach. Antagonists and, in some occasions, generals consult with officials when important issues determining the future of wars and the destiny of kings’ realms, are concerned. Based on mentioned above, the function of antagonist’s counselors is analyzed and divided into two categories: first , offering helpful resolutions when antagonists encounter and fight against protagonists and their army ; second ,sleep interpretation and prediction. In accordance with carried out studies, antagonists’ counselors include ministers,zorasterian clergymen ,astrologers, fortunetellers, generals and antagonists’ close relatives , alliances and in some cases the armies that each group assist the antagonists with their opinions to make decisions especially about their territory and the army. Manuscript profile -
Open Access Article
198 - The Reflection of Contradiction in the Mathnavi
Mohammad Reza Hesaraki Mohammad Ali GozashtiDuring successive centuries, human being was tryingo to find out the truth of cosmos and to do this successfully, the philosophers and mystics have taken a new approach. One of the most eminent mystics of the East is Molavi who chose an opposite way for perceiving facts MoreDuring successive centuries, human being was tryingo to find out the truth of cosmos and to do this successfully, the philosophers and mystics have taken a new approach. One of the most eminent mystics of the East is Molavi who chose an opposite way for perceiving facts. The best way to know human, nature and even God is obtained by an opposite way.Without darkness no one can perceive the lightness and this difference is seen superficially.In his idea,the word is composed of opposite and God can appear by every opposite way life is reconciliation of opposites, with its death ,its wars.In other words,the appearance of creatures is only possible in the heads of opposites. He belives that the existence of Cosmos depends on the war between these opposites. On the other hand, in his idea, the synthesis of the world is different from the afore- mentioned facts and the paradise is free from this opposite. The wars of human is for God / The trees without leaves is a sign of paradise Human anger is in the pursuit of peace/Comfortable life is usually uncomfortable The next word is for good, / because it is free of opposites Manuscript profile -
Open Access Article
199 - The Relationship between Independence in Work with Eagerness to Work and Addiction to Work with the Mediating Role of Autonomy Job Motivation
Alireza Fathizadeh Moein Zabeti Fatemeh AtighiThis study was conducted to investigate the relationship between independence in work with Eagerness to work and work addiction with the mediating role of autonomy job motivation in Garno Consulting Engineers.The research method is descriptive-correlational. The statist MoreThis study was conducted to investigate the relationship between independence in work with Eagerness to work and work addiction with the mediating role of autonomy job motivation in Garno Consulting Engineers.The research method is descriptive-correlational. The statistical population of the study includes all employees of Garno Design Consulting Engineers Company in the number of 200 people. According to Morgan table, 127 people were selected as a sample by simple random sampling method. Data were analyzed using SPSS23 and AMOS software and descriptive and inferential statistics such as mean, standard deviation, regression coefficient and structural equation model were used.Data analysis based on structural equation model show the fitness indicators of the research model are acceptable and the regression coefficients of the model show that the mentioned variables well explain the relationship between independence in work with Eagerness to work and work addiction with the mediating role of autonomy job motivation in Garno Consulting Engineers. Therefore, there is a significant relationship between independence in work with Eagerness to work and Addiction to work with the mediating role of autonomy job motivation in Garno Consulting Engineers. Manuscript profile -
Open Access Article
200 - Prediction of Residual Gas Consumption using Temperature and Population of ConsumersUse case : Residual Consumers of Karaj
Masoud Akbari Mahdi Asghari Aliakbar Imami Satlou Parham Davari Shahnaz Salamat Thani Nahid Taherian Mansour GholinejdaNatural gas has a vital role as energy supplier in Iranian residual regions. According to reports of manager of dispatching department of National Iranian Gas Company, residual consumers had a share of 70 percentage of all manufactured natural gas, on cold days of 2021. MoreNatural gas has a vital role as energy supplier in Iranian residual regions. According to reports of manager of dispatching department of National Iranian Gas Company, residual consumers had a share of 70 percentage of all manufactured natural gas, on cold days of 2021. Also about 88 percentage of the country's electricity is supplied by fossil fuels, based on the report of Water and Electricity Industry. All of these statistics warn us about the importance of residential gas management. In this article, a nonlinear regression model was produced based on temperature and population of residential consumers in different periods of year. Also consumptions of residential consumers of Karaj city used to evaluate performance of the model. Results show that there is a meaningful correlation between selected features and consumed amount of natural gas that can help us to predict consumption more accurate in future. Manuscript profile -
Open Access Article
201 - Employing the creative approach of brand addiction to develop a model of repurchasing luxury products
Mitra Meijani Alireza Rousta Darioush JamshidiBackground: Today, the rapid growth of the market, the diversity of wants and needs of customers, the need to use creative and innovative approaches such as brand addiction to maintain and increase customer loyalty to repurchase. Objective: The present study seeks to pr MoreBackground: Today, the rapid growth of the market, the diversity of wants and needs of customers, the need to use creative and innovative approaches such as brand addiction to maintain and increase customer loyalty to repurchase. Objective: The present study seeks to present a creative method and test an innovative model for the development of luxury car repurchase on Kish Island. Method: In order to develop the model and present the hypotheses, library studies and a questionnaire were distributed among the statistical population consisting of 450 luxury car consumers. Simple data sampling was used to collect data and modeling and structural equations (SPSS and Smart pls3) and Sobel test were used to explain the model. Results: The results of this study showed that the innovative and creative approach to brand addiction has a positive effect on the repurchase of luxury products and word of mouth. Brand addiction also has a positive effect on brand personality, brand awareness, brand experience, brand jealousy, brand love. Conclusion: Brand addiction to make a difference does not always lead to negative consequences, but creates an innovative and new perspective as a different behavioral addiction to encourage consumers to repurchase luxury products. So that companies can use this leverage to maintain their customers and position. Manuscript profile -
Open Access Article
202 - The Relationship of Family Social Support and adolscent addiction Susceptibility in the City of Shahriyar
Amin Norouzi Kianoush Zahrakar Hadi Safari Maryam Faraji Abbas MarzbanThe present study investigated the relationship of the family social support with adolescent drag addiction susceptibility. 340 male adolescents of the schools in the city of Shahriyar were selected through multi-stage cluster sampling; and the data were collected using MoreThe present study investigated the relationship of the family social support with adolescent drag addiction susceptibility. 340 male adolescents of the schools in the city of Shahriyar were selected through multi-stage cluster sampling; and the data were collected using Family Social Support Scale (pss-fr) and addiction susceptibility Questionnaire (ASQ) for adolescents; and Pearson correlation coefficient and stepwise regression were applied for data analysis. It was indicated that there was a significant negative relationship between the social support of family and adolescents’ addiction susceptibility. The variable of family’s social support can explain some of the changes associated with susceptibility to addiction. There is a significant relationship between the linear combination of the predictor variables and addiction susceptibility (-0.361 R). According to the present research, which aimed at determining the relationship between family’s social support and susceptibility to addiction, the results gained from the current study suggested that, in general, there is a significant relationship between family social support and addiction susceptibility. Manuscript profile -
Open Access Article
203 - Jung's Principle of Contradiction in Relation to the Unified Opposites of Water and Fire (Relying on the Poetry of Forough Farrokhzad and Amal Dunqul)
Nasrin Bigdeli Fereydoon Tahmasbi Shabnam Hatampour Farzaneh SorkhiThe principle of contradiction is one of the most important factors in the development and flourishing of personality in the collective unconscious part of the human mind, which in Jung's school of analytical psychology is the motivator of all behavior and the producer MoreThe principle of contradiction is one of the most important factors in the development and flourishing of personality in the collective unconscious part of the human mind, which in Jung's school of analytical psychology is the motivator of all behavior and the producer of all mental energy. By making scientific comparisons between mental energy and sustained biological force, Jung establishes a deep connection between the intensity of the mental energy of myths and their conceptual nature, so that their conceptual place in the deep layers of literary and artistic works is well illustrated. In this study, considering the mental energy and inner force of myths, the works of creators such as Forough Farrokhzad and Amal Dunqul are explored based on Jung's principle of contradiction or duality, to determine the extent and intensity of their influence on the paradoxical and symbolic nature of mythical elements and The unified paradoxes of fire and water and their negative/affirmative revelations are studied in the works of Farrokhzad and Donqol in relation with such elements as rain, lake, river, Satan, flood, etc. Considering the discontents of the contemporary world, an analytic/descriptive method has been used in order to show the political thought and idealistic objectives of these two poets which concern the meaningful notions and dual psychological tendencies of sacred and ideal myths such as purity, purging, fertility, fecundity, rebirth, dynamism, immortality, deliverance and illumination. Manuscript profile -
Open Access Article
204 - Investigation and Prediction of Spatial and Temporal Land Use Changes in New Hashtgerd City by Integrating Remote Sensing Data and Cellular Automata Markov model
Sara SoukhtezariLand use changes due to the physical expansion of the city in most cities in Iran are so rapid, that urban planners and managers are facing a dynamic and complex development as they integrate the planning process in these areas. The purpose of this study is to investiga MoreLand use changes due to the physical expansion of the city in most cities in Iran are so rapid, that urban planners and managers are facing a dynamic and complex development as they integrate the planning process in these areas. The purpose of this study is to investigate land use changes and physical development of Hashtgerd city during the past 19 years and to predict land use change trends for the future. In this study, Landsat multi-time images were used. Using the support vector classification machine algorithm and the algorithm for Cross-Tab change, land use change trends over the past 19 years was evaluated. Also, using the Cellular Automata Markov prediction model, the process of land use change and physical expansion of the city is predicted for the future. The results of this study indicate the unnecessary expansion of the city over the past 19 years. So that the built-up with 736.56% growth have caused excessive destruction of agricultural and bare lands on the outskirts of the city. Investigations show that with increasing distance from land use changes have significantly reduced the amount of land use. Investigation of changes in land uses showed that 564/166 hectares of waste land has become residential land use. Predicting land use changes for 2028 and 2038 showed that residential land use will continue to increase. This highlights the need for special attention of urban planners and managers to the issue of urban development and its consequences in the region. Finally, the evaluation of the accuracy of the automated cell model showed that the percentage of classes area difference was less than 8%. Manuscript profile -
Open Access Article
205 - Prediction of Urban Construction Changes Using Satellite Images Based on CA-MARKOV Models (case study: Sari)
Sahab Bidgoli Kashani Mehran Fadavi Valiollah AzizifarAlong with the ever-increasing urban population, the amount of construction in the city space has been developed. The development of construction in the horizontal space and regardless of the existing restrictions has led to environmental, economic and legal problems fo MoreAlong with the ever-increasing urban population, the amount of construction in the city space has been developed. The development of construction in the horizontal space and regardless of the existing restrictions has led to environmental, economic and legal problems for the citizens. Achieving the amount, intensity and direction of construction development from the past to the present and predicting the construction situation in the future is the first step towards the scientific and practical management of the physical development of urban construction, planning and providing suitable solutions in order to create a balance between allocation Spatial-spatial construction and all kinds of legal, economic and environmental considerations. Data and information extracted from satellite images, while showing the historical changes of urban construction, are used as the main, necessary and necessary input data for models to predict its future state. In this research, satellite images of TM, ETM+ and OLI sensors of Landsat satellite were used in the time periods of 1997-2007 and 2007-2017 related to the city of Sari. After performing geometrical corrections, city area maps were prepared. Then, by using the effective parameters in urban construction changes, using the Cellular Automata(CA) Markov Model, the accuracy of the simulations was checked. Finally, for validation, the simulated maps and the ground reality map were matched with each other. The simulation of the construction development process in 2027 using the CA-Markov model showed that if the existing management regulations continue, this area will decrease from 4617.90 hectares in 2017 to 4357.44 hectares in 2027. But the examination of change maps and stability maps showed that new areas will be under construction between 2017 and 2027, which were mainly used for agriculture and barren land. Manuscript profile -
Open Access Article
206 - A Non-deterministic CNN-LSTM Hybrid Model for Bitcoin Cryptocurrency Price Prediction
علی علی جماعت سید محسن میرحسینیAbstractIn today's society, investment diversity has become very important. People reduceinvestment risk by diversifying their portfolios. Bitcoin has gained muchpopularity as one of the digital capitals and has been included in the investmentportfolio of individuals an MoreAbstractIn today's society, investment diversity has become very important. People reduceinvestment risk by diversifying their portfolios. Bitcoin has gained muchpopularity as one of the digital capitals and has been included in the investmentportfolio of individuals and institutions. Bitcoin price prediction is essential fordetermining price trends and transactions. For this purpose, various traditionalmethods as well as methods based on machine learning have been presented, eachof which has its own advantages and disadvantages. Recently, the use of hybridmodels has received attention. Combined methods have good efficiency and usethe advantages of combined techniques. This paper presents a hybrid methodbased on a deep convolutional neural network and recurrent neural network withprobabilistic dropout. Eliminating possible randomness leads to the regularizationof learning, avoids overfitting, and reduces model error. The results of theexperiments show that the proposed method has a higher accuracy than thecompared methods in predicting the price of Bitcoin. Manuscript profile -
Open Access Article
207 - Molecular docking and ADMET prediction of active compounds in Tualang honey against Sex hormone-binding globulin (SHBG) for the treatment of male infertility
Hamed Shahriarpour Mostafa Ghaderi-ZefreheiIntroduction: Sex hormone-binding globulin (SHBG) is a protein that is synthesized by liver cells and binds to sex hormones to regulate their levels and bioavailability. Its binding to testosterone reduces bioavailable testosterone and causes diseases of the male reprod MoreIntroduction: Sex hormone-binding globulin (SHBG) is a protein that is synthesized by liver cells and binds to sex hormones to regulate their levels and bioavailability. Its binding to testosterone reduces bioavailable testosterone and causes diseases of the male reproductive tract such as infertility, erectile dysfunction and prostate cancer. Objective: In this in Silico study, the potential of several compounds present in Tulang honey against SHBG protein for the treatment of infertility has been investigated. Materials and methods: The six compounds in Tualang honey, Catechin, Ethyl oleate, Fisetin, Hesperetin, Kaempferol and Luteolin were obtained from previous studies and the PubChem pharmaceutical database. The binding energy and type of protein-ligand interactions were investigated by molecular docking of these compounds to SHBG protein. AutoDock Vina version 1.1.2 software was used to perform molecular docking and Discovery Studio v21.1.0.289 software was used to analyze molecular docking results. Then SwissADME and admetSAR 2.0 web servers were used to evaluate the pharmacokinetic properties of these compounds through ADMET predictions. Results: The binding energy obtained from molecular docking showed that Luteolin with a score of -10 kcal/mol binds to SHBG protein, and has more hydrogen-hydrophobic interactions than other studied compounds as well as compounds that have been worked on in recent papers. Catechin and Fisetin also showed an acceptable result. The study of ADMET and bioavailability radar showed that although these compounds have physicochemical properties for use as drugs, they have the potential to inhibit some cytochromes and toxicity for certain organs and DNA or other genetic material in the body that should be considered in the use of these compounds as drugs. Discussion and conclusion: Using this in silico study, several suitable molecules of natural origin against the SHBG protein were identified, which showed potential for the treatment of male infertility. Manuscript profile -
Open Access Article
208 - A Hybrid Type-2 Fuzzy-LSTM Model for Prediction of Environmental Temporal Patterns
Aref Safari Rahil Hosseini -
Open Access Article
209 - Portfolio optimization based on return prediction using multiple parallel input CNN-LSTM
Hatef Kiabakht Mahdi Ashrafzadeh -
Open Access Article
210 - The relationship between readiness to addiction, self-aggression, depression and stress boy and girl students of Islamic Azad University of Mahabad
آراس رسولیThis study examined the relationship between readiness to addiction, self-aggression, depression and stress among female students of Islamic Azad University of Mahabad were boys.The research is descriptive and correlational.The population consisted of all male and femal MoreThis study examined the relationship between readiness to addiction, self-aggression, depression and stress among female students of Islamic Azad University of Mahabad were boys.The research is descriptive and correlational.The population consisted of all male and female students studying at Islamic Azad University of Mahabad in 2014 to Bashdaz target population of 120 people were chosen as samples.Were selected by simple random sampling. Was used to collect data from five Prssnamh include:Preparation questionnaire to addiction, self Chinese, Ahvaz Aggression (1379), Beck Depression, Stress.Haaztryq data descriptive statistics (frequency, graph, etc.) Vamarastnbaty (t-test and correlation coefficient) were analyzed.The findings showed that there is a significant difference between the sexes in readiness to addiction.The results showed that between aggression and readiness to addiction in male and female students there, between self-efficacy and readiness to addiction in male and female students there is a relationship between depression and addiction potential of male and female students there, between stress and addiction potential is there male and female students, between gender and ready to addiction in male and female students there. Manuscript profile -
Open Access Article
211 - The relationsheep between loneliness and parenting styles with mobile phone addiction
ghlamreza monshaei mehdi ghasemi motlagh fariba ghovahi fatemeh mortazavi Abstract The main objective of this study was to investigate the relationship between loneliness and parenting styles with mobile phone addiction. The study population was students of Islamic Azad University, Bojnurd branch in 1393-94 academic years. Sampling meth More Abstract The main objective of this study was to investigate the relationship between loneliness and parenting styles with mobile phone addiction. The study population was students of Islamic Azad University, Bojnurd branch in 1393-94 academic years. Sampling method was cluster sampling and the sample was 339 students. Research method is descriptive and correlational. The data in this study where collected by by standardized instruments feel alone measure, parenting style scale and phone addiction questionnaire. Data were analyzed by spss 16 software and correlation method. The results showed that: 1) There is a relationship between loneliness and addiction to mobile phones. 2) There is a relationship between parenting stylew and mobile phone addiction. Manuscript profile -
Open Access Article
212 - Scientific-literary character of Amir Ali-Shir Nava’i and efficacy of his school
Amir Nemati LimaeeAmir Ali-shir Nava’i is one of the famous and well-known politicians and cultural man of the Timurid era . His unique political and cultural perspective gave him a special position in Iranian cultural history. Investigating different aspects of his unique characte MoreAmir Ali-shir Nava’i is one of the famous and well-known politicians and cultural man of the Timurid era . His unique political and cultural perspective gave him a special position in Iranian cultural history. Investigating different aspects of his unique character is the subject of this paper . This paper by means of the historical research method reviews some of his great works such as : his influence on Turkish literature , his role in spreading Iranian culture beyond Iran, providing the foundation for new schools of thought , and also writing different dictionaries . A study of historical records revealed that in one hand , Amir Ali-shir Nava’i was a pioneer and leading figure in Turkish literature and on the other hand , he had a prominent role in introducing Iranian culture into Turkish language tribes . the result of his work created close contacts between Iranian and Turkish culture . Manuscript profile -
Open Access Article
213 - Mechanism of the Nature and Competencies of the Supreme National Security Council with Emphasis on Decisions Related to Nuclear Activities
Ali ghorbanpour Abolfazl Ranjbari Mohammad MazhariAli ghorbanpour[1],Abolfazl Ranjbari[2]*,Mohammad Mazhari[3] Abstract: After the talks on the adoption of Resolution 598 and the ceasefire with Iraq, Iran's nuclear activities are one of the most complex and crucial international cr­i­s­­es in MoreAli ghorbanpour[1],Abolfazl Ranjbari[2]*,Mohammad Mazhari[3] Abstract: After the talks on the adoption of Resolution 598 and the ceasefire with Iraq, Iran's nuclear activities are one of the most complex and crucial international cr­i­s­­es in Iran. The purpose of the Constitutional Legislature in establishing the Supreme National Security Council has been to create a specialized and supreme center for the establishment of unity of procedure and the adoption of comprehensive security policies. In fact, the main question is what is the mechanism of the nature and competencies of the Supreme National Security Council in nuclear decisions? Based on the results, it can be said that in the constitutional law system of the Islamic Republic of Iran, the Supreme National Security Council is among the policy-making authorities, and also, considering that the verbal and idiomatic nature of policy-making is related to determining the existing policy and general axes in relation to a certain subject. It can be concluded that an important part of the resolutions of the Supreme National Security Council, which are examples of the exercise of the powers provided for in paragraph 1 of Article One Hundred and Seventy-six. [1].PhD Student in public law, Department of public law, Tabriz branch, Islamic Azad university, Tabriz, Iran. [2].Assistant Professor, Department of public law, Tabriz branch, Islamic Azad university, Tabriz, Iran,Corresponding Author [3].Assistant Professor, Faculty of Law and Social Sciences, University of Tabriz, Iran. Manuscript profile -
Open Access Article
214 - An Adaptive Data Hiding Method for Compressed Videos in HEVC Standard
Mozhgan Zamani Mohammadreza Ramezanpour -
Open Access Article
215 - A MAPE-K Loop Based Model for Virtual Machine Consolidation in Cloud Data Centers
Negin Najafizadegan Eslam Nazemi Vahid Khajehvand -
Open Access Article
216 - A New Multi-Wave Cellular Learning Automata and Its Application for Link Prediction Problem in Social Networks
Mozhdeh Khaksar Manshad Mohammad Reza Meybodi Afshin Salajegheh -
Open Access Article
217 - An Interval Type-2 Fuzzy-Markov Model for Prediction of Urban Air Pollution
Aref Safari Rahil Hosseini Mahdi Mazinani -
Open Access Article
218 - Epileptic Seizure Prediction using Multi-Channel Raw EEGs with Convolutional Neural Network
Jamal Nazari Ali Motie Nasrabadi Mohamad Bager Menhaj Somayeh Raiesdana -
Open Access Article
219 - Protein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches
Leila Khalatbari Mohammad Reza Kangavari -
Open Access Article
220 - A Supervised Method for Constructing Sentiment Lexicon in Persian Language
Faranak Ebrahimi Rashed Neda Abdolvand -
Open Access Article
221 - Designing and Optimizing the Fetch Unit for a RISC Core
Bahman Javadi Mojtaba Shojaei Mohammad Kazem Akbari Farnaz Irannejad -
Open Access Article
222 - A Link Prediction Method Based on Learning Automata in Social Networks
Sara YounessZadeh Mohammad Reza Meybodi -
Open Access Article
223 - Multi-Step-Ahead Prediction of Stock Price Using a New Architecture of Neural Networks
Mohammad Talebi Motlagh Hamid Khaloozadeh -
Open Access Article
224 - Providing a Model for Predicting the Success of Investment Projects in Free and Special Economic Zones, Using the Multi-Layer Neural Network Technique
morteza shokrzadeh kamaleddin rahmani farzin modares khiyabani majid bagherzadehTo analyze the data of this research, descriptive statistics and inferential statistics were used and experts selection software, MATLAB, SPSS and PLS software were employed Using theoretical foundations and libraries, six effective factors and variables predicting the MoreTo analyze the data of this research, descriptive statistics and inferential statistics were used and experts selection software, MATLAB, SPSS and PLS software were employed Using theoretical foundations and libraries, six effective factors and variables predicting the success or failure of Investment projects in the free and special economic zones of the country were identified.After describing the variables and testing the normality,using the PLS software, a confirmatory factor analysis of the variables was carried out, in which all of the factors had a good confirmatory factor analysis and all the questions were approved Then, using linear regression and ANOVA, the effect of each of the factors on the success or failure of investment projects was investigated, and the results of this test showed confirmation of the impact of each of the factors, and then the results of the hierarchical analysis indicated this was the first rank of product and service, followed by the second-rank ,that is geographical considerations, and the characteristics of the investor's psychology, the third rank, the product market characteristics, the fourth rank, the investor's ability to rank fifth, and financial considerations ,also, earned the last rank.Considering this prioritization, the neural network used in this research contained data from 6variables as an input variable, with two intermediate layers with 30 nodes in the first layer, and three nodes in the second layer, which had one outlet.The results indicated that the neural network model had the power to predict the success of the investment projects. Manuscript profile -
Open Access Article
225 - Presenting a model for predicting tax evasion guilds based on Data mining techniques
Mohammad Ghasemi Sadegh Abedi Ali MohtashamiIn this research, considering the importance of the topic and deficiency in previous researches, amodel for predicting tax evasion of guilds based on data mining technique is presented. Theanalyzed data includes the review of 5600 tax files of all guilds holding tax cod MoreIn this research, considering the importance of the topic and deficiency in previous researches, amodel for predicting tax evasion of guilds based on data mining technique is presented. Theanalyzed data includes the review of 5600 tax files of all guilds holding tax codes in Qazvinprovince during the years 2014-2019. The tax file related to guilds is in five tax groups includethe guild group of owners of notary public offices, the guild group of real estate agencies, theguild group of catering halls, restaurants and related businesses, the guild group ofcommunication services, and the guild group of exhibitions and auto accessories stores andrelated businesses. For modeling, the classification model including the decision tree algorithmwas used. The results indicate that the coverage criterion is 68%, the Kappa criterion is 0.612,which indicates the good performance of the modeler. Also, using the Cross Validationtechnique, the validity of the prediction model was tested in order to more reliably estimate thepercentage of modeling performance. The accuracy criterion equal to 67.79% shows theappropriate reliability for the prediction model. The results of this research can be utilized informulating operational strategies based on data mining to predict the tax evasion of guilds in theprovinces. Manuscript profile -
Open Access Article
226 - Optimization ELM neural network in prediction problem: case study forecasting demand steel in Iran
Jalal Rezaeenour Mansoureh Yari eili Esmaiel roozbahani Mohammad hossein RoozbahaniPrediction of supply and demand, is a crucial issue for supply chain partners. With the accurate forecasted supply and patterns that indicate the sizes and directions of future production flow, the government and suppliers can have a well-organized strategy and provide MorePrediction of supply and demand, is a crucial issue for supply chain partners. With the accurate forecasted supply and patterns that indicate the sizes and directions of future production flow, the government and suppliers can have a well-organized strategy and provide a better infrastructure for improving industrial sector.With the aim of developing accurate forecasting tool in steel industry, this study present a new optimized neural network, by combination of Extreme Learning Machine and genetic algorithm. We employed our model on a dataset for steel supply - demand in Iran from jul-2009 to jan2013 to estimating the performance. The results show that prediction accuracy and performance relatively better than other classical approaches, according to RMSE and MAPE evaluations. In our model. Based on statistical tests, our new model is better than other model in accuracy, so can be used in as a suitable forecasting tool in steel supply forecasting problems. Manuscript profile -
Open Access Article
227 - Dynamic Algorithm Design for Data Mining and Accurate Prediction of Customer Response
Mehdi Zakipour Sina Nematizadeh MohamdAli AfsharkezemiThe problem of identifying and anticipating potential customers to be addressed at direct marketing programs has been considered as one of the popular and most important marketers' issue. Marketers who use these approaches are threatened by the severe reaction of those MoreThe problem of identifying and anticipating potential customers to be addressed at direct marketing programs has been considered as one of the popular and most important marketers' issue. Marketers who use these approaches are threatened by the severe reaction of those consumers who consider the direct marketing as an attack to their private lives, so it may even be possible to boycott companies that use these methods. Neural networks are known as a powerful tool for prediction, but as previously mentioned, as with other prediction algorithms, they tend to deviate toward imbalanced data. In this research, in order to enhance the ability to identify and predict potential customers by multilayer perceptron networks, using Random under-over sampling methods, which has been used frequently in other articles, we attempted cluster customers and create different combinations of them, and then from the observed results, we finally introduced an innovative and highly efficient method for identifying and rating potential customers. The results indicate that, in addition to the undeniable power of multilayer neural networks in the field of identification and prediction, imbalanced data has greatly damaged the results. In this regard, creating an optimal combination of customer data and implementing the innovative algorithm of the present study significantly improves the results and the performance of artificial neural networks has yielded a reliable consequences. Manuscript profile -
Open Access Article
228 - Forecasting the Cost of Water Using a Neural Network Method in the Municipality of Isfahan
Amir Mohammadzadeh Nasrin Mahdipour Arash Mohammadzadeh -
Open Access Article
229 - Time Prediction Using a Neuro-Fuzzy Model for Projects in the Construction Industry
Behnam Vahdani Seyed Meysam Mousavi Morteza Mousakhani Hassan Hashemi -
Open Access Article
230 - Perdiction of Addiction Potential Based on Psychological hardiness and Cognitive Emotion Regulation
Ali Khalegkhah Nasim Mesrkhani habibeh najafi The aim of this study was to predict the Addiction Potential Based on Psychological hardiness and cognitive emotion regulation in Students. The design of this study was correlational and statistical population comprised of all More The aim of this study was to predict the Addiction Potential Based on Psychological hardiness and cognitive emotion regulation in Students. The design of this study was correlational and statistical population comprised of all students in University og Mohaghegh Ardabili in the academic year 2017-2018, from this population 377 students were selected using Cluster random sampling, from this pupolation, 356 questionnaires was analyzed. The tools were Zargar and et al Addiction potential scale (1992), Kobasa and et al hardiness questionnaire (1997) and Granfsky and et al cognitive emotion regulation questionnaire (2001). Data analysis was performed through Pearson’s correlation coefficient and regression analysis. The finding showed negative significant correlation between Psychological hardiness and positive cognitive-emotional regulation strategies (Acceptance, positive refocusing, refocus on planning, positive reappraisal, perspective) (r = - 0.30; p < 0.01) and positive significant correlation between Negative cognitive-emotional regulation strategies (Self-blame, Rumination, catastrophizing, blaming others) (r = 0.26; p < 0.01). Manuscript profile -
Open Access Article
231 - Predicting Virtual Networks Addiction Based on Students' Feelings of Loneliness, Communication Skills, Social Intelligence, and Emotional Intelligence
Mahdokht Roostazadeh Fatemeh RezaeiThe purpose of this study was to predict addiction to virtual networks based on feelings of loneliness, communication skills, social intelligence and emotional intelligence. The research method was descriptive-correlation. The statistical population of the study consist MoreThe purpose of this study was to predict addiction to virtual networks based on feelings of loneliness, communication skills, social intelligence and emotional intelligence. The research method was descriptive-correlation. The statistical population of the study consisted of all high school students of Isfahan city in the academic year of 1979-1999 with a total number of about 36,000. 380 individuals (161 males and 194 females) were selected as the sample of the study using Morgan and Krejcie's table by multistage cluster sampling. In order to collect data from the EHQ Mobile Affiliate Questionnaires (1395), Dietomaso et al. (2004), Barton's Communication Skills (1990), Silva et al.'s Social Intelligence (2001), Emotional Intelligence Siberia Shering (1996) was used. Multivariate regression analysis was used to analyze the data. The results of data analysis showed that there is a positive and significant relationship between emotional intelligence and addiction to virtual networks and a negative relationship between communication skills and feelings of loneliness with addiction to virtual networks. Emotional intelligence has the greatest power to predict addiction to virtual networks. There was a positive relationship between social loneliness and addiction to virtual networks, while there was a negative relationship between family loneliness and feedback skills with addiction to virtual networks and a positive and significant relationship between self-awareness, self-regulation and empathy with addiction to virtual networks. Overall, feelings of loneliness, weak communication skills, social intelligence, and low emotional intelligence can increase students' addiction to virtual networks. Manuscript profile -
Open Access Article
232 - Predicting the Reduction of Craving for Drug use based on Resilience and Self- Control in Men Referring to Addiction Treatment Centers in Rasht
Fatemeh Sohrabzadeh Zeynab Abbasi The research was conducted with the aim of predicting the reduction of drug cravings based on resilience and self-control in men referred to addiction treatment centers. The type of research was descriptive and its method was correlation. The statistical populati More The research was conducted with the aim of predicting the reduction of drug cravings based on resilience and self-control in men referred to addiction treatment centers. The type of research was descriptive and its method was correlation. The statistical population included all men who referred to addiction treatment centers in Rasht city in the first half of 1401 in the number of 212 people, of which 136 people were selected by simple random sampling. Franken et al.'s (2006) Craving for Drug use, Connor and Davidson's resilience (2003) and Tanji et al.'s (2014) self-control questionnaires were used to collect data. The data were analyzed using the inferential test of Pearson's correlation coefficient and regression and SPSS24 software. The results showed that there is a significant correlation between resilience and reducing drug cravings (P<0.01). There is a significant correlation between self-control and the reduction of drug craving (P<0.01). According to the findings of the research, it can be concluded that resilience and self-control are suitable predictors for the reduction of drug craving among men. Manuscript profile -
Open Access Article
233 - Development and Validation of addiction susceptibility Questionnaire-student version (ASQ-SV)
Ali ZeinaliThe purpose of this study was development and validation of the addiction susceptibility Questionnaire (ASQ) by examining the factor structure and internal consistency in collage student's sample. Participants were 304 single male and female college student. The partici MoreThe purpose of this study was development and validation of the addiction susceptibility Questionnaire (ASQ) by examining the factor structure and internal consistency in collage student's sample. Participants were 304 single male and female college student. The participants were 14-19 years of age and were chosen using cluster random sampling method. The results showed the factor structure and reliability of internal consistency of the addiction susceptibility Questionnaire- student version (ASQ-SV) was suitable. The PSQ-SV to have highly reliable measure of addiction susceptibility by college student and it is appropriate for both female and male students in clinical, educational and research settings. Manuscript profile -
Open Access Article
234 - The relationship between Internet addiction and anxiety in students
Mina Azadi Haji MosaviThe present research aims at clarifying the relation between the Internet and High School female students’ stress of a district in Sanandaj in the year 1391-92. The research type is correlative which has been conducted descriptively. The statistical community is t MoreThe present research aims at clarifying the relation between the Internet and High School female students’ stress of a district in Sanandaj in the year 1391-92. The research type is correlative which has been conducted descriptively. The statistical community is the whole High School female students of a district in Sanandaj whose use the Internet (600) and its sample volume has equaled (100) by dint of Kukran. The devices are in the following framework: Jung Kamibrel (1998), stress scale questionnaire, along with ‘Libewand and Libewand mental stress and strain’ (1995). In order to inferentially analyze the data emanated from the measurement devices the two methods of Pearson and Regression were put to practice. The results revealed that there is a meaningful relationship between Internet access and female stresss. The research also showed that 51% of the users were “exposed” to the danger of the Net. The stress of the students was also evaluated in the level of High School. The findings divulge that the higher the Internet addiction rate, the greater the amount of the stress and pressure. Manuscript profile -
Open Access Article
235 - The relationship between internet addiction and the academic performance of second grade high school students
hamid shafizadeh This study aimed to evaluate the relationship between Internet addiction and academic performance of second grade High School students conducted in Varamin city. The overall objective of the present study is practical and in terms of metho More This study aimed to evaluate the relationship between Internet addiction and academic performance of second grade High School students conducted in Varamin city. The overall objective of the present study is practical and in terms of method is correlational descriptive. This research is random sampling. To calculate the sample size, Cochran formula has been used. The sample of 361volunteer students were randomly selected from Varamin city. In this study, Young's Internet Addiction questionaire is used to identify students who are addicted to internet. GPA at the end of the semester and the number of students’ failed units as academic performance indices were used. Data analysis was done by using descriptive statistics (frequency, mean and percentage) and inferential statistics (Pearson). The Results showed that 1/7 percent of users have poor addiction, 44/9 percent medium addiction and 53/5 percent severe addiction to internet. Investigation of correlational results indicates that there is a significant positive relationship between the variables of Internet addiction and the age of the students with0/95 interval confidence and also there is a significant positive relationship between the variables of the level of internet addiction and the number of failed students with 0/95 interval confidence,futhermore the research indicated that in terms of the relation between the variables of Internet addiction and the average of the students there is a significant negative relationship with 0/95 interval confidence. Manuscript profile -
Open Access Article
236 - Compare the style of parenting, addiction to the Internet and social adjustment in normal students and self-mutilated students
Ali Afshari Zeynab DelpazirThe aim of this study was to compare the style of parenting, addiction to the Internet and social adjustment in normal students and students referred to the core advice of self-mutilation was in high school Bukan city. of studying was causal comparison. The study popula MoreThe aim of this study was to compare the style of parenting, addiction to the Internet and social adjustment in normal students and students referred to the core advice of self-mutilation was in high school Bukan city. of studying was causal comparison. The study population included all students in secondary schools in the academic year 94-93 was Bukan city. Of the population, 60 samples were selected. Sampling study aid for self-mutilation students was just available (30) it is also for normal students to sample the simple cluster sampling was used (30). The data were collected from questionnaires of parenting style of Buri (1991), Young's Internet Addiction (1999) and social adjustment Bell (1961). Information obtained using multivariate analysis of variance (MANOVA) and were analyzed using the software SPSS.19. showed that the two groups were significantly different parenting styles and Authoritative parenting style and Authoritarian parenting style in normal students, students referred to was the cause of self-mutilation and authoritarian parenting style also refer students to the cause of self-harm was more than normal students (05/0> p). As well as Internet addiction and social problems, the impact of disorganization and lack of self-control in students referred was more than normal students (05/0> p). Finally, the social adjustment of students referred to the self-immolation was less of normal students (05/0> p). Based on these results, we can conclude authoritarian and permissive parenting styles and risk factors for Internet addiction can be self-defeating behaviors in students that they reduce social adjustment. Manuscript profile -
Open Access Article
237 - Relationship between the use of extreme from technology (Internet and SMS Addiction) and educational and psychological state high school students
Ramazan Hassanzadeh Mohammad Salehi Alireza Rezaei KiyasariObjective of this study was evaluate the relationship between extreme use of this technology and educational and psychological state in high school boys and girls of Sari are two topics that mobile Internet and text messaging function and level the scores and loneliness MoreObjective of this study was evaluate the relationship between extreme use of this technology and educational and psychological state in high school boys and girls of Sari are two topics that mobile Internet and text messaging function and level the scores and loneliness, students consider and review were is. In this study the research method used is correlation. All the statistical community secondary school students of Mazandaran province in 1388 to 16,153 the number of people gave up. The sample of 375 people through the Morgan table high school students way cluster - were selected randomly for data collection and library studies and the standard questionnaire used. Three students to the Internet addiction scale test, loneliness, and responded to text messages. Results showed that: Variable between two extreme Internet use and academic achievement is no meaningful relationship. Between two variables and extreme use of text messaging and there is no significant relationship between academic achievement. But between two variables using the Internet and extreme loneliness was a significant relationship, in other words an extremist who fully use the Internet, they are lonelier. Two variables for extreme use of SMS and loneliness, also was a significant relationship; in those fully extreme use of SMS to more loneliness. Extreme levels of Internet use in girls than boys are. And the extreme levels of SMS use in girls than boys are. Between each SMS component (emotional response, perception extreme use, maintaining relationships) and addiction to the Internet connection exists. And between each SMS component (addiction to sms) and loneliness, the relationship exists. Manuscript profile -
Open Access Article
238 - Investigate the causes of young people's drug use in behshar city
Mohammad Salehi Mohammad HajizadThis study aims to investigate and understand the causes of youth drug trends behshar city BID providing the necessary solutions to families, youth content. The population of the study, all 18-to-24-year city BID to 3234 persons. The sample size of 50 subjects randomly MoreThis study aims to investigate and understand the causes of youth drug trends behshar city BID providing the necessary solutions to families, youth content. The population of the study, all 18-to-24-year city BID to 3234 persons. The sample size of 50 subjects randomly selected the desired information through a questionnaire responses is closing. With methods of descriptive and inferential statistical data analysis has been Experience. The results show that youth causes of drug use in order of preference: the influence of family factors, 80%, social factors (75%), personal factors (70%), economic factors (66%) and cultural factors, 54% said they also socialize with friends distract access easy 86% stated that each drug. Manuscript profile -
Open Access Article
239 - Predicting internet based psychological well-being, psychological distress, emotion regulation and loneliness in adults.
Khadije Zare Somayyeh Rostampor Omid AmaniInternet addiction is a serious public health problem worldwide. Recent studies indicate the increasing trend of this addiction in adults; Therefore, the present study was conducted in order to predict Internet addiction based on psychological well-being, psychological MoreInternet addiction is a serious public health problem worldwide. Recent studies indicate the increasing trend of this addiction in adults; Therefore, the present study was conducted in order to predict Internet addiction based on psychological well-being, psychological distress, emotion regulation, and feelings of loneliness in adults. The current research method is a description of the correlation type and the sample of the study was 200 adult citizens of Tabriz city in 1400-1401 as available sampling. Internet addiction questionnaires by Young (1998), Riff's psychological well-being (2002), Kessler's psychological distress (2002), difficulty in emotion regulation by Ramer and Gratz (2004) and Russell's feeling of loneliness (1996) were used to collect data. It was analyzed using Pearson's correlation test and multiple linear regression analysis. The results showed that among the four predictive variables (variables of psychological well-being, psychological distress, emotion regulation and loneliness of adults), three variables of psychological well-being, psychological distress and emotion regulation were able to predict Internet addiction (p<0.05). The direction of the relationship between psychological well-being and Internet addiction was negative, and the direction of the relationship between psychological distress and emotion regulation and Internet addiction was positive. Findings showed that loneliness could not predict Internet addiction. The findings of the present research show the importance of psychological variables such as psychological well-being, psychological distress, emotion regulation, in explaining addictive behaviors such as Internet addiction in adults. Manuscript profile -
Open Access Article
240 - Sexuality Social Factors on the needs of addicted women for treatment) (Analysis of the narratives of women staying for the Recovery centers in Tehran province)
Tahereh Mohsenzadeh Nowruz hashemzehi Saeed madaniPresent study is set to investigate Gender-based Social Factors on the needs of addicted women for treatment. By using of qaulitive method, some factors such as understanding subjects and their experience for getting treated, represented Sexuality effects on their needs MorePresent study is set to investigate Gender-based Social Factors on the needs of addicted women for treatment. By using of qaulitive method, some factors such as understanding subjects and their experience for getting treated, represented Sexuality effects on their needs and recognizing hidden Sexuality facts in treatment procedure have been studied. Subjects are 34 addicted women staying for the recovery centers in Tehran province who are chosen by purposive sampling way. Then there narratives recorded as interviews and been analyzed. Results are showing that in procedure of remedy of addicted women some factors such as financial obstacles, social-cultural factors specially Sexuality attitude about addicted women. Lack of facilities and medical centers and worries about anew addiction play important roles. Manuscript profile -
Open Access Article
241 - Qualitative study of social factors of drug addiction, case study: Kleibar city drug addicts
Hossein Safari Naser HaghiAbstract: The main purpose of this study was to identify the factors involved in drug addiction. The statistical population was drug addicts in Kalibar in 1397. The research sample was 38 addicts and the sampling method was purposive. Qualitative research method and res MoreAbstract: The main purpose of this study was to identify the factors involved in drug addiction. The statistical population was drug addicts in Kalibar in 1397. The research sample was 38 addicts and the sampling method was purposive. Qualitative research method and research tool was open interview and information analysis method was based on grounded theory approach in which research information and data were coded openly and centrally. The results showed that a total of nine factors are involved in drug addiction: differential association, economic poverty, cultural poverty, social poverty, psychological trauma, differential family, traumatic environment, psychological challenge and social exclusion. Among these factors, social factors play the most important role in addiction. Also, psychological factors mostly played an indirect role in this issue. Addiction treatment and prevention strategies include job creation, strengthening bonds and social solidarity, strengthening drug awareness programs, life skills training, and strengthening law enforcement and security. Manuscript profile -
Open Access Article
242 - The cultural factors of return to addiction among the self-introduced addicts of the Andimeshk city
Farshideh Keyhani Sadegh Moradi Gholamreza Mohammad NaslThe conducting etiological researches on the addiction, for the design and implementation of preventive programs by experts of relevant organizations is inevitable. Therefore, this descriptive cross-sectional study was performed with the aim of ranking the cultural fact MoreThe conducting etiological researches on the addiction, for the design and implementation of preventive programs by experts of relevant organizations is inevitable. Therefore, this descriptive cross-sectional study was performed with the aim of ranking the cultural factors of returning to drog addiction among self-introduced addicts by using a researcher-made questionnaire by random-class sampling method among 150 people from the statistical population, including: clients (self-introduced returning addicts), helpers and advisors, and Clients' family members, in addiction treatment centers under the supervision of Andimeshk welfare in 2019. To analyze the data, were used descriptive statistics and SPSS software. In descriptive statistics, the demographic and demographic information of the sample was checked, and in inferential statistics, first the normality of the data was determined using the Kolmogorov Smirnov one-way test, and then using the Cochran chi-square test, the significance level of each of the components of operational cultural factors was determined and was measured. Among the 17 items of variable cultural causes, the encouragement from the user friends to reuse drugs and the spending leisure time with unhealthy entertainment, have most effect and the going to jail and the discrimination between children, have the lowest effect on return to addiction. The cultural factors effecting the return to drugs addiction can include the components of the encouragement from the user friends to reuse drugs, the spending leisure time with unhealthy entertainment, the labeling, failure to track related institutions, Not assigning a program to spend leisure time, Having positive beliefs in using drugs to relieve and treat diseases ,and Lack of knowledge about the nature of new drugs Manuscript profile -
Open Access Article
243 - Explaining the effects of diviation from the rules of Criminal Jurisprudence in Anti_ Smuggling goods and currency Act
saied atazadeh aliakbar mokhtari dastenaie mahmod gayom zadeh< p >in our Country according to the principles of 4, 72, and 96 of the constitution, the general policy in the field of legislation is based on the two principles of non_contradiction and adaption of all laws with the religious principles. That meantime based on More< p >in our Country according to the principles of 4, 72, and 96 of the constitution, the general policy in the field of legislation is based on the two principles of non_contradiction and adaption of all laws with the religious principles. That meantime based on the principle of 96 contradictory acts are doomed to failure by the guardian council and non_ conforming acts for exclusion of ((sense of contradiction )) than that usually approved by the same council. because of the generality of principle of non_contradiction, the rules of the subject of criminal law also necessarily follow this principle. principles such as the: Legality of Punishment, personal liability, the individual autonomy and proportionality of crime in accordance with the rules criminal jurisprudence, such as obscenity unstated punishment، principle of burden of sins (vizr) and rule of justice and ( al-tazir beme yarah al-hakim) in the case of litigants has been legislated in Islamic code. With authorizing the anti_smuggling goods and currency act influenced by some differentiation and paradigm of deterrence and utilitarianism, the legislator has disregarded the basic principles of criminal jurisprudence which are infact deviation from the contradiction rather than non_compliance with the most important constitutional principle that underlies the political system and with the approval of the law reffered to by the guardian council has been recognized by that council. Manuscript profile -
Open Access Article
244 - The Role of Easy and Fast Access to the Court in the Normative Expansion of Local Jurisdiction in Cybercrime (Islamic Jurisprudence and Legal Analysis)
Esmaeil Baghban babak pourghahramani Fatemeh AhadiUncertainty of territory and borders in cyberspace causes many problems in the field of criminal jurisdiction; Issues such as the multiplicity of places where the crime was committed and, consequently, the multiplicity of jurisdiction in this space and the precise deter MoreUncertainty of territory and borders in cyberspace causes many problems in the field of criminal jurisdiction; Issues such as the multiplicity of places where the crime was committed and, consequently, the multiplicity of jurisdiction in this space and the precise determination of the crime scene are clear examples of this. One of the most important issues to be considered in this area is the determination of a competent local authority to investigate crimes committed in the area. The main question of the present study is how to of easy and fast access to the court can make it possible to exercise this competence in cyberspace. This article, with the help of the descriptive-analytical method and induction in domestic, international and Islamic jurisprudential standards regarding the jurisdiction of courts in Iran, tries to provide a solution to expand local jurisdiction in this field. The results of the research show that the new methods of dealing with cyber crimes, including electronic proceedings and taking into account the same legal conditions with the international community and creating a judicial system with global jurisdiction,can solve the challenges of applying local jurisdiction in cyber crimes and facilitate and speed up the proceedings. Manuscript profile -
Open Access Article
245 - کاربرد واژگان عاطفی و رسمی در نگارش فارسی و انگلیسی دانشجویان کارشناسی ارشد آموزش زبان
شبنم وحیدفر زهره سیفوریفصاحت طیف گسترده ایی از مفاهیم از جمله میزان عاطفی و رسمی بودن کلام را در برمی گیرد. محققین با هدف تغیین تنوع کلامی در نگارش زبان اول و دوم به بررسی ویژگیهای گوناگون کلام نوشتاری پرداخته اند. پژوهش حاضر نیز با هدفی مشابه به مقایسه میزان کاربرد واژگان عاطفی و Moreفصاحت طیف گسترده ایی از مفاهیم از جمله میزان عاطفی و رسمی بودن کلام را در برمی گیرد. محققین با هدف تغیین تنوع کلامی در نگارش زبان اول و دوم به بررسی ویژگیهای گوناگون کلام نوشتاری پرداخته اند. پژوهش حاضر نیز با هدفی مشابه به مقایسه میزان کاربرد واژگان عاطفی و رسمی در متون عمومی و عاطفی نوشته شده توسط دانشجویان کارشناسی ارشد آموزش زبان انگلیسی دانشگاه آزاد اسلامی تبریز پرداخته است. پس از حصول اطمینان از همگنی اولیه آزمودنیها، از آنها خواسته شد تا در مورد دو موضوع عمومی و عاطفی هر یک دو متن به زبانهای انگلیسی و فارسی بنویسند. کاربرد واژگان رسمی تنها در متون انگلیسی و بر اساس فرهنگ لغات وبسترمورد سنجش قرار گرفت. بار عاطفی مثبت و منفی واژگان درمتون انگلیسی و فارسی نیز مبتنی بر تعاریف ارائه شده توسط پنبیکر و کینگ (1999) سنجیده شد. نتایج حاصل از تحلیل های آماری تفاوت معناداری بین میزان رسمی بودن واژگان به کار رفته در متون عاطفی و عمومی انگلیسی نشان نداد. در عین حال مقایسه داده های تحقیق نشانگر تفاوت معنادار کاربرد واژگان عاطفی در متون عاطفی و عمومی انگلیسی و فارسی بود. نتایج نیاز ایجاد آگاهی در مورد نقش واژگان در نوشتار را مورد تاکید قرار می دهد. Manuscript profile -
Open Access Article
246 - Causes of Refusing to Accept the Validity of Foreign Judgments about Tazirat in Iran's Law
Abolhassan Shakeri farshad shirzadifarAccording to clause 2 of article 115 of the Islamic penal code adopted in 2013, if a person commits a crime abroad, those laws that stipulate sentences for Tazir offences, they should be just as responsible for the crime as if they committed it in their sponsor nation a MoreAccording to clause 2 of article 115 of the Islamic penal code adopted in 2013, if a person commits a crime abroad, those laws that stipulate sentences for Tazir offences, they should be just as responsible for the crime as if they committed it in their sponsor nation and under Iran's Islamic penal code, he may be prosecuted, tried and punished for their crimes even if he is sentenced to be punished on that country. Specific punishments has been prescribed in Islamic law for a discretionary punishments such as male homosexuality (article 237 of the Islamic penal code), admitting to adultery (article 232 of the Islamic penal code) if a man or woman confesses to adultery less than four times. Clause 2 of article 115 of the judgment is contrary to the prohibition against double punishment and needed to be interpreted cautiously. If an Iranian person who is non-Muslim commits a crime outside of Iran which is considered to be as Ta’azirat penalties on that country he shall not be sentenced to Ta’zirat punishment if he has borne the punishment. Similarly, if a person who aids and abets in a discretionary crime outside of Iran, he shall not be sentenced to Ta’zirat punishment if he has borne the punishment on that country. Manuscript profile -
Open Access Article
247 - Formation of Judicial Principles of Munificence
majid vaziri mahjobeh abdedi Inherent dignity is the honor and prestige that all humans share it naturally and innately for being a human being and from religious point of view this right is fixed even for human fetus. In this study the aim is to form jurisprudential principles for mun More Inherent dignity is the honor and prestige that all humans share it naturally and innately for being a human being and from religious point of view this right is fixed even for human fetus. In this study the aim is to form jurisprudential principles for munificence. It roots from the same fact that the same method establishes the requirements of social and governmental jurisprudence. In this regard, by analyzing the concept and principles of dignity, legal reasons, and points of view of scholars it could possible to notice this important issue. The notion of inherent dignity has a legal and intellectual support. According to above mentioned materials the principle is as follows “every human being is noble unless something prevent it” that is all human beings are decent unless “ those who exit it by some reason”. According the “inherent dignity” principle, there is a logical proportion between crime and punishment. Everyone is subject to punishment against committing crimes. The inherent dignity prevents multi-punishment for one crime but it does not deny the crime itself. And through dignity, no artificial wisdom and family lineage and presidential relations, will not prevent imposing penalties through forgiveness. The principles of jurisprudential principles have got some effects and results including maintaining dignity, and special rights for all human being which could not be denied. For example, the right to live, the right to respect and dignity, right of piety, the right for justice, the right for equal opportunities, social welfare and insurance, proportion between crime and penalties without humiliation and torture or any kind of intimidation and negation of rights. Manuscript profile -
Open Access Article
248 - The Validity of Judge's Ijtihad Reasons and its Criticism
Alireza Asgari Mostafa AmeriSince adjudication is one of the most essential and important subjects in the religious jurisprudence and law, the qualification of the judge is very important and so Islam underlines the competence and jurisdiction of the judges. This issue was negotiated from the time MoreSince adjudication is one of the most essential and important subjects in the religious jurisprudence and law, the qualification of the judge is very important and so Islam underlines the competence and jurisdiction of the judges. This issue was negotiated from the time of Sheikh Tousi but in the last couple of century some open handed jurists that practically have tried to end the hostility have studied different sides of this subject more considerably. One of the conditions for the qualification of judge especially in religious jurisprudence is Ijtihad (divine law on matters of theology and law). The most famous jurists believe that Ijtihad is necessary in adjudication. They have indicated the narrative and rational reasoning about Ijtihad. The author of Javaher believes that only the Mojtahids who have all conditions are allowed to be a judge. On the contrary, some jurists, mostly the modern ones, believe that Ijtihad is not a necessary condition in adjudication and they talked in considering the lack of reasons that know Ijtihad a condition and the other persons who aren’t Mojtahid can also be a judge. This article explains the forgoing aspects and then with the study and research about the theoretical principles of the common Ijtihad of judge, according to reliable documents, proves that Ijtihad for judges is not necessary. Manuscript profile -
Open Access Article
249 - Sensation seeking and internet dependence in adolescents
Zeynab Khanjani Saeideh AkbariThis study aimed at determining the relationship between high-school teenagers' sensation seeking with their Internet dependency. This study was laid out in Tabriz. In order to study this case, among high school students in five districts of Tabriz, 384 were randomly se MoreThis study aimed at determining the relationship between high-school teenagers' sensation seeking with their Internet dependency. This study was laid out in Tabriz. In order to study this case, among high school students in five districts of Tabriz, 384 were randomly selected. In order to collect data, Zuckerman sensation seeking standard questionnaire, and Young Internet addiction was used. The results showed that there was a positive significant difference between sensations seeking with internet addiction and there was a negative significant difference between subscale experiences seeking with internet addiction and there was a significant difference between experiences seeking, dysphonic and disinheriting with internet addiction. The regression results showed that boredom susceptibility and disinheriting were suitable predictor for internet addiction. Manuscript profile -
Open Access Article
250 - The comparison of mental health status and locus of control of female adolescents of addicted and nonaddicted families
Ahmad Etemadi Fatemeh Mastari FarahaniThe purpose of the present study was to investigate and compare the role of the locus of control on the mental health of the female adolescents of the addicted and no addicted families. 120 female adolescents participated in this study. Then the subjects were randomly p MoreThe purpose of the present study was to investigate and compare the role of the locus of control on the mental health of the female adolescents of the addicted and no addicted families. 120 female adolescents participated in this study. Then the subjects were randomly placed in two groups each group consisted of60 adolescents. The required data collected through the role locus of control and, General Health Questionnaire (GHQ).The data were analyzed using statistical methods of T-Test, variance analysis and MANOVA shefe test. There was significant defference between mental health of female adolescents with internal and external locus of control (t:2/84) . There was significant defference between mental health of female adolescents of the addicted and nonaddicted families (t:2/61). There was significant defference between mental health of female adolesncents of the addicted and nonaddicted families with the locus of control (f:4/86) . Female adolescents of nonaddicted with internal locus of control had higher mental health .Female adolescents of addicted families with external locus of control and female adolescents of nonaddicted families with internal locus of control had maximum and minimum mental health.Therefore internal locus of control, the development and reinforcement of the internal locus of control is one of the suitable ways for prevention and reduction of the vulnerability. Manuscript profile -
Open Access Article
251 - Predicting Tehran Securities Stock Index By Using Neural Networks
Bita Delnavaz Asghari Mir Feiz FallahshamsThe size and process of the stock price indices are among the most important factors affecting the decisions of the investors in the financial markets. In order to predict the market, different techniques have been used, the most common of which are regression methods a MoreThe size and process of the stock price indices are among the most important factors affecting the decisions of the investors in the financial markets. In order to predict the market, different techniques have been used, the most common of which are regression methods and ARIMA models. However, these models have been unsuccessful in the practical prediction of some series. In the present research, in order to predict the total index of the stock, the Feed Forward Neural Network model with the law of back propagation was used in three networks with different input models, and the results of the model were compared to the result of multi – variable regression models and ARIMA models. The results indicated that the neural network method showed considerably fewer RMSE errors than RMSE errors in other methods, and that in Tehran stock market short – term prediction within a shorter interval is more suitable than long – term prediction within a longer interval. Manuscript profile -
Open Access Article
252 - اعتیاد اینترنتی
عاطفه پوراکبر سیف اله فرزانه ابوالقاسم حیدرآبادی -
Open Access Article
253 - نقش خانواده در گرایش جوانان به اعتیاد در شهرستان ورامین
احمد رضایی بهروز اسلامی ملیحه مهدی پوراعتیاد یکی از مشکلات پیش روی جامعه ما و مخصوصاً قشر جوان میباشد. جامعه ما جامعه جوانی است پس باید برای از بین بردن این معضل تلاش فراوانی انجام داد. با توجه به این امر که عوامل زیادی در اعتیاد افراد نقش دارند، ما در این تحقیق خواهان این امر هستیم که به نقش خانواده در ا Moreاعتیاد یکی از مشکلات پیش روی جامعه ما و مخصوصاً قشر جوان میباشد. جامعه ما جامعه جوانی است پس باید برای از بین بردن این معضل تلاش فراوانی انجام داد. با توجه به این امر که عوامل زیادی در اعتیاد افراد نقش دارند، ما در این تحقیق خواهان این امر هستیم که به نقش خانواده در اعتیاد جوانان در شهرستان ورامین دست پیدا کنیم. روش مطالعه از نوع توصیفی-تبیینی و به لحاظ ماهیت کاربردی میباشد و از نظر روش اجرا پیمایش ((survey محسوب میشود. جامعه آماری این تحقیق 250 نفر از جوانان شهرستان ورامین می باشد که به صورت تصادفی انتخاب گردیدهاند. برای تجزیه و تحلیل دادهها از نرم افزارSPSS استفاده گردید. نتایج حاکی از آن است که بین گرایش به مصرف مواد اعتیادآور در بین اعضای خانواده، اختلاف والدین، میزان کنترل والدین، نحوهگذران اوقات فراغت، دسترسی به مواد و رابطه با دوستان معتاد و گرایش افراد به اعتیاد رابطه معنیداری وجود دارد. یافته های تحقیق حاکی از این امر است که خانواده مهمترین نقش را در اعتیاد افراد یدک میکشد. خانواده را می توان مهمترین نهاد اجتماعی در اکثر جوامع انسانی دانست که تأثیر بسزایی در تکوین و تحول شخصیت فرد دارد. اساس سازگاری فرد در جامعه، در خانواده ریخته میشود. خانواده اولین مکانی است که فرد خود را در آن می بیند و می توان گفت که قسمت عمده شخصیت فرد تحت تأثیر خانواده شکل میگیرد. به همین سبب هنگامی که خانواده نتواند این مهم را به عهده گیرد و آن را به نحو احسن انجام دهد این وظیفه مهم خواه نا خواه به عهده دیگر افراد یا گروهها مثل گروه همسالان واگذار میشود. باتوجه به اینکه خانواده کوچکترین و مهمترین نهاد اجتماعی میباشد، وضعیت نابسامان خانوادگی و مشکلات والدین و اعتیاد آنها و... مهمترین عامل در ایجاد و گسترش اعتیاد به مواد مخدر میباشد. Manuscript profile -
Open Access Article
254 - تبیین اوقات فراغت جوانان به عنوان مکانیزمی برای کاهش مصرف مواد مخدر (مطالعه تطبیقی در بین جوانان معتاد و غیرمعتاد در استان خراسان شمالی)
اسماعیل قربانی مریم شجاعی حسین فیض آبادیهدف تحقیق تبیین اوقات فراغت جوانان به عنوان عاملی مهم در زمینه کاهش گرایش آنان به اعتیاد مواد مخدر است که در سطح استان خراسان شمالی به صورت مقایسهای بین جوانان معتاد تحت پوشش مراکز ترک اعتیاد بهزیستی و سایر جوانان غیر معتاد صورت گرفته است.روش تحقیق پیمایشی بوده و برای Moreهدف تحقیق تبیین اوقات فراغت جوانان به عنوان عاملی مهم در زمینه کاهش گرایش آنان به اعتیاد مواد مخدر است که در سطح استان خراسان شمالی به صورت مقایسهای بین جوانان معتاد تحت پوشش مراکز ترک اعتیاد بهزیستی و سایر جوانان غیر معتاد صورت گرفته است.روش تحقیق پیمایشی بوده و برای جمعآوری دادهها از تکنیک پرسشنامه استفاده شده است. تحلیل دادهها با نرم افزار SPSS صورت گرفته است. نتایج نشان دادند:1- بطور معناداری افراد غیرمعتاد زمان بیشتری را به اوقات فراغت خود اختصاص داده اند.2- فعالیتهای اوقات فراغت جوانان معتاد در مقایسه با جوانان غیرمعتاد از تنوع بسیار کمتری برخوردار است.3- پایینبودن رضایتمندی جوانان معتاد از اوقات فراغت. 4-از کل وقت آزاد جوانان معتاد درصد کمی از آن به اوقات فراغت سپری میگردد. نهایتاً اینکه مشکلات اوقات فراغت از دیدگاه جوانان معتاد به ترتیب اهمیت عبارتند از ضعف برنامهریزی دولتی، مشکلات مالی، ضعیفبودن امکانات اوقات فراغت، عدم پیشبینی اماکن متناسب با نیازجوانان، ضعف برنامهریزی مناسب توسط خانواده Manuscript profile -
Open Access Article
255 - A Comparative Study of the Addicts' Attitude toward Using of Narcotic Substances after Quitting Addiction (A Comparison between Two Techniques of Indigenous Self-esteem and Methadone Therapy in Azadshahr City)
Mahboubeh Babaei Ameneh Mahmoodi -
Open Access Article
256 - Social Factors Affecting on Drugs Abuse:( Slum Dwellers in Shiraz -Iran)
Keramatollah Rasekh Tayebe Allapanazadeh -
Open Access Article
257 - A Sociological Analyses of the Effect of Family on Drug Addiction in Noushahr and Chalous
Gh.A Tavassoli -
Open Access Article
258 - The Relationship between the Exploitation of New Communication Technologies and the Tendency to Addiction in Young People 15 to 30 Years (about: Zones 2 and 18 in Tehran
Seyed Reza Naqib Al-Sadat Mahsa Ghane -
Open Access Article
259 - An Analysis of Social Problems and its Effective Factors in 1999-2008 among the Youth
Soroush Fathi Jamileh Fadavi -
Open Access Article
260 - A Research on Drug Addiction Pattern among the Youth in Isfahan
Kazem Ghojavand Rahmatollah Mozaffari, -
Open Access Article
261 - Determination of the effective factors in prediction of traffic created from urban applications. (Sample item, Neyshabur)
Rostam Saberifar Ahmad KhaderianThe purpose of this paper was to determination of the effective factors in prediction of traffic created from urban applications in Neyshabour. This study has been performed by descriptive in the form of correlation of prediction. Field data has been gathered, in case o MoreThe purpose of this paper was to determination of the effective factors in prediction of traffic created from urban applications in Neyshabour. This study has been performed by descriptive in the form of correlation of prediction. Field data has been gathered, in case of a questionnaire. The case study in poll section determine 60 person in basis of Morgan chart that were separated into two groups in each 30 persons between employees in urban administration and other people. Data that gathered in this way analyzed by use of spss. The results showed that number of employees in each land use or its functions, has undeniable role in increasing the scale of traffic production (P= 0/000), but other noted factors can’t predict it however urban lists are related to the scale of traffic production. The number of employees in each land use is also clarified in this research. We can say that urban administration have to estimate any amount of traffic before getting any license for land use change or localization and specific performance and also estimate its effect over the entire transport ion net . Manuscript profile -
Open Access Article
262 - Analysis and prediction of water level fluctuations in Urmia Lake using ARIMA model
khadijeh javan Farhad NasiriThis study has been done to evaluate the fluctuations of water level in Urmia Lake and to provide a best model for prediction the water level fluctuations. Monthly water level data for the period (1345 - 1392) was used and homogeneity was assessed by Run Test. Then the MoreThis study has been done to evaluate the fluctuations of water level in Urmia Lake and to provide a best model for prediction the water level fluctuations. Monthly water level data for the period (1345 - 1392) was used and homogeneity was assessed by Run Test. Then the stability of mean and variance of the data was tested in order to put down the non-stability by creation a rank in series. Trend of the monthly series was eliminated by making a difference and the time series of water level was evaluated by using Box- Jenkins model and the best model was fitted. Accuracy of the model was verified based on AIC, BIC and chart analysis of autocorrelation and partial autocorrelation functions and ARIMA = (0, 1, 4) (1, 1, 1)12 was selected as a suitable model. The selected model was fitted then the model was tested by Analysis of residuals and confirmed its authenticity. Finally, the monthly behavior of the series was predicted for 9 years later by using this model. Manuscript profile -
Open Access Article
263 - Study and Evaluation of Temperature in Aleshtar City based on Artificial Neural Network Model
Mahnaz Hassanvand Reza Borna Manijeh Zohoorian Pordel Alireza ShakibaTemperature assessment and forecasting is one of the most practical estimates of climatic elements. Today, the agricultural and industrial sectors are highly dependent on the temperature conditions. Temperature is one of the most important climatic meters that is one of MoreTemperature assessment and forecasting is one of the most practical estimates of climatic elements. Today, the agricultural and industrial sectors are highly dependent on the temperature conditions. Temperature is one of the most important climatic meters that is one of the main factors in the climate identity of each region. The purpose of this study is to make a model for predicting the average monthly seasonal temperature of selected stations in Lorestan province, including Al-Shatrami region. Identification and detection of vulnerabilities in the infrastructure of Aleshtar districts in the conditions of climate change. And due to the inadequacy of the 30-year time series of Al-Ashtarl, neighboring cities such as Khorramabad-Aleshtar-Borujerd synoptic stations have been used, because the artificial neural network method has a great ability to simulate and predict atmospheric elements. And the weather, especially the temperature. To model and predict the seasonal monthly temperature, the r programming tool software of the fOre gast package has been used. Two tests of estimator trend analysis have been used. The 30-year time series trend of these elements was examined during the basic statistical period (1989-2019). The climate cycle was reported and extracted under two scenarios: NNAR and forEgast. The artificial neural network is one of the most powerful models capable of receiving and displaying complex Data input and output is one of the most widely used neural network (NNA) models to determine the best network inputs. Manuscript profile -
Open Access Article
264 - Paradoxical Stylistics in Hafez Poetry
احمد هاشمی Ali mohammad SajadiIn Persian literature, professing is based on breaking the norms and habits of language, both in terms and meaning, which is well demonstrated in paradox. Paradox in Hafez's poetry is often technically beautiful and, of course, elegant and amazing. In other words, from MoreIn Persian literature, professing is based on breaking the norms and habits of language, both in terms and meaning, which is well demonstrated in paradox. Paradox in Hafez's poetry is often technically beautiful and, of course, elegant and amazing. In other words, from a controversial and contradictory society, it creates a marvelous, artistic and beautiful image. This article is intended to study the paradox and its variants in Hafez poetry. The method is descriptive-analytical. The main question of the research is what Hafez employed in the invention of paradoxical compounds. What types of linguistic, intellectual and literary paradoxes are in the Hafez court. The result of the research suggests that the paradox is active in the context of the poetry and it is one of the main features of his style of poetry. Literary creation creating hope and sense of aesthetics in the atmosphere of Iran after the Mongol invasion, normality to the presidential goal and pure and artistic mysticism of Hafez which are among the main factors in creating a paradox in his poetry are also considered. Manuscript profile -
Open Access Article
265 - The application of TRIZ to solve the GSC problems in Sobhanoncology pharmaceutical firm.
Mina Hajihashemi seyed mohammad hoseini -
Open Access Article
266 - Enabling Link Prediction Optimization on Social Networks
banafshe poorsoltani fariba salahi Amir Daneshvar -
Open Access Article
267 - A Comparative Study on Existing Techniques for Variable Reduction Including Factor Analysis, Principal Component Analysis, Correlation-Based Techniques, and Relief in Predicting the Risk of Stock Price Crash in Tehran Stock Exchange
Hassan Mohammadi Alireza Zarei Soudani -
Open Access Article
268 - PSPGA: A New Method for Protein Structure Prediction based on Genetic Algorithm
Arash Mazidi Fahimeh Roshanfar -
Open Access Article
269 - Sport Result Prediction Using Classification Methods
Arash Mazidi Mehdi Golsorkhtabaramiri Naznoosh Etminan -
Open Access Article
270 - A New VAD Algorithm using Sparse Representation and Updated Dictionary in Spectrogram Domain
Mohadeseh Eshaghi -
Open Access Article
271 - A Hybrid Model Using Deep Learning to Predict Stock Price Index
Mohammad Reza Shahraki -
Open Access Article
272 - Identification and Prediction of Banking Crisis in Iran
Z. Zarei A. KomijaniAbstract This study uses the early warning system approach to predict banking crisis in Iran during 1990Q1– 2013Q4. To achieve the goal, Money Market Pressure index approach will be used by Markov Switching Model. The results indicate that, although, based on gov MoreAbstract This study uses the early warning system approach to predict banking crisis in Iran during 1990Q1– 2013Q4. To achieve the goal, Money Market Pressure index approach will be used by Markov Switching Model. The results indicate that, although, based on governmental supporting, the banking section in Iran has never encountered the phenomena such as bank run and bankruptcy, but it has also experienced banking crisis. Likewise, the assessment of probit model suggests that some indexes are leading banking crisis probability. These indicators include the variables of real exchange rate growth, the growth rate of credit endowed to private sector, real GDP, housing price, and real interest rate. Furthermore, the measures of expectation-prediction represent that the model developed has considerable potential to predict in sample banking crisis. Also, this model is unsuccessful in the prediction of the crisis in only 12 percent, but capable of predicting crisis in 77 percent of cases, where the crisis has occurred with probability of more than 40 percent. Manuscript profile -
Open Access Article
273 - Comparing the Exchange Rates Predicted by STAR Non-linear Models and Alternative Models
Hasan Khodavaisi Ali VafamandExchange rate known as a strategic variable plays an important role in the economy, because of affecting on different sectors in economy all over the world. So, exchange-rate predictions have always been an important subject for the researchers in Economics. This paper MoreExchange rate known as a strategic variable plays an important role in the economy, because of affecting on different sectors in economy all over the world. So, exchange-rate predictions have always been an important subject for the researchers in Economics. This paper tries to study the attributes of exchange rate developed by monthly official data of Iran Stock Exchange based on Smooth Transition Autoregressive (STAR) models. The result of simulation based on STAR models and estimated by Genetic Algorithm method, outperforms linear time series models, such as ARIMA out of sample predictions based on RMSE, MAE and DA criteria. Manuscript profile -
Open Access Article
274 - Expansion of Financial Distress Modeling Using Corporate Earnings Management in the Iran's Economic Environment
Abbas Ramezanzadeh Zeidi Khosro Faghani Makrani Ali jafariThe purpose of this study is to provide a model for financial distress predicting with real earnings management.So the redesignthe financial distress prediction model of Altman (1983) with the real earnings management variable as a predictor variable, the performance of MoreThe purpose of this study is to provide a model for financial distress predicting with real earnings management.So the redesignthe financial distress prediction model of Altman (1983) with the real earnings management variable as a predictor variable, the performance of the unadjusted model and the adjusted model in predicting of financial distress among companies accepted in the Tehran Stock Exchange was compared.The statistical sample consists of 179 Companies during the years 2008- 2017.Data analysis and hypothesis testing were performed using multiple logistic regression.The results show that the overall accuracy of the adjusted model is higher than the unadjusted model. Manuscript profile -
Open Access Article
275 - Investing Neural Network Trianing with Metaheuristic Algorithms in order to Prediction of Iran Stock Index
Seyed Ahmad Mirzaei Zakiyeh Nikdel Zahra NikdelPrediction and analysis of stock market movements are an important topic for researchers, traders and have got an important role in today’s economy. Variety in policies, such as government policies and economic policies affect the stock market and cause stock pric MorePrediction and analysis of stock market movements are an important topic for researchers, traders and have got an important role in today’s economy. Variety in policies, such as government policies and economic policies affect the stock market and cause stock price changes. The predicting stock price movement on a daily basis due to the non-linear and chaotic stock price movements is a difficult task. There are several ways for predicting in stock market. Artificial intelligence techniques have been widely used to predict data with nonlinear and chaotic structure. One of these techniques is neural network. If neural network is trained correctly, then it has minimum error in predicting. In this research, we will train the multi layer perceptron neural network with 8 meta heuristics algorithms and we predict Tehran Exchange Dividend Price Index (TEDPIX). The Results show that grey wolf optimization has the minimum error in training of neural network. Manuscript profile -
Open Access Article
276 - An Intelligent Method for Death Prediction Using Patient Age and Bleeding Volume on CT scan
Yosra Azizi Nasrabadi Ali Jamali Nazari Hamid Ghadiri Farshid Babapour MofradThe purpose of this paper's prediction of survival or death within 30 days is based on a cerebral hemorrhage. Timely and correct diagnosis and treatment of cerebral hemorrhage are essential. If the patient's death is predicted during these thirty days, the treating phys MoreThe purpose of this paper's prediction of survival or death within 30 days is based on a cerebral hemorrhage. Timely and correct diagnosis and treatment of cerebral hemorrhage are essential. If the patient's death is predicted during these thirty days, the treating physician should use intensive care and more treatment for the patient. Cerebral hemorrhages require immediate treatment and rapid and accurate diagnosis. In this article, using the volume of cerebral hemorrhage and the patient's age and using the neural network of support vector machine (SVM), it is predicted what percentage of people with cerebral hemorrhage survive and what percentage die. Parameters of cerebral hemorrhage volume and, age of patients, neural network input are considered. The network's output is the survival or death of patients with cerebral hemorrhage over the next thirty days. The data we used included the bleeding volume and age of 66 patients with lobar hemorrhage, 76 patients with deep bleeding, nine patients with Pontine hemorrhage and 11 patients with cerebellar hemorrhage. All bleeding models are considered as input to the support vector machine neural network. The overall accuracy of the designed support vector machine neural network is 93%. Regardless of the type of cerebral hemorrhage, the survival or death of people with cerebral hemorrhage within 30 days is predicted. Manuscript profile -
Open Access Article
277 - Improved Sensor Sampling Method for the Joint Dictionary Learning and Compressive Data Gathering in WSNs with the Aid of Information Theory
Gholamreza Imanian Mohammad Ali Pourmina Ahmad SalahiIn the last decade, to reduce the costs of environmental monitoring, the data aggregation based on the joint dictionary learning and compressive sensing technique in wireless sensor networks has been considered. In this article, a deterministic and non-random sampling d MoreIn the last decade, to reduce the costs of environmental monitoring, the data aggregation based on the joint dictionary learning and compressive sensing technique in wireless sensor networks has been considered. In this article, a deterministic and non-random sampling design for use in this data aggregation method is presented. This method is based on estimating the amount of mutual information of sensor data and is obtained by sampling all of them in a short part of the data collection round named the training phase. In the next and main stage of the data collection period, only the nodes that provide the most information about the non-sampled nodes are scheduled to sample. Simulation results for real signals show that when the number of sampling sensors comprises still about 25% of the total network nodes, average energy savings of more than 12% can be achieved over a reference sampling method. Manuscript profile -
Open Access Article
278 - The Electricity Consumption Prediction using Hybrid Red Kite Optimization Algorithm with Multi-Layer Perceptron Neural Network
Jalal Raeisi-Gahruei Zahra BeheshtiSince the electricity consumption’s prediction is one of the most important aspects of energy manage­ment in each country, various methods based on artificial intelligence have been proposed to manage it. One of these methods is Artificial Neural Networks (ANN MoreSince the electricity consumption’s prediction is one of the most important aspects of energy manage­ment in each country, various methods based on artificial intelligence have been proposed to manage it. One of these methods is Artificial Neural Networks (ANN). To improve the performance of ANNs, an efficient algorithm is necessary to train it. Back Propagation (BP) algorithm is the most common algorithm employed in training ANNs, which is based on gradient descent. Since BP may fall in local optima, it cannot provide a good solution in some problems. To overcome this shortcoming, optimiz­ation algorithms like meta-heuristic algorithms can be applied to train ANNs. In this study, a new meta-heuristic algorithm called Red Kite Optimization Algorithm (ROA) is introduced, which is inspired by the social life of red kites in nature. The ROA has several advantages such as simplicity in structure and implementation, having few parameters and good convergence rate. The perfprmance of ROA is compared with some recent metaheuristic algorithms on benchmark functions of CEC2018. Also, it is employed to train Multi-Layer Perceptron (MLP) for the electricity consumption prediction at peak load times in Iran. The results show the good performance of proposed algorithm compared with competitor algorithms in terms of solution accuracy and convergence speed. Manuscript profile -
Open Access Article
279 - Coping With the Loss of Quality of Job Future Predictors in Grid Computing Environments
Reza Ghaemi hosein salami Mehrdad JalaliDistributed processing environments, such as grids, are one of the most important platforms for meeting the user's processing needs. These environments have the potential to meet the needs of users, but they also have their own problems, including the failure of the job MoreDistributed processing environments, such as grids, are one of the most important platforms for meeting the user's processing needs. These environments have the potential to meet the needs of users, but they also have their own problems, including the failure of the jobs. Several attempts have been made to overcome this problem, which in general can be divided into two categories of resource side methods and job side methods. All these methods need some kind of prediction of the resources or jobs status in order to pursue a proactive approach to failures. However, due to the dynamics of these environments, the developed models quickly lose their quality and thus can not effectively help with the methods mentioned. In this paper, first, by identifying the reasons for reducing the quality of predictors in the grid environment, a solution has been proposed to deal with it, and then the proposed solution has been applied in the context of job failures. The results of experiments on the two experimental environments of AuverGrid and Grid5000 showed that the proposed method would increase the quality by 0.02 and 0.06 respectively in these two environments. Manuscript profile -
Open Access Article
280 - An Overview of Drugs Addiction Diagnosis Methods on Brain Activity and Structure Based on Electroencephalogram Signals
Atefeh Tobeiha Neda Behzadfar Mohammad Reza Yousefi Homayoun Mahdavi-NasabDrug addiction causes structural and functional changes in the human brain and can be considered a chronic disease. So far, various studies have been performed to examine addiction on the brain signal, which differs in terms of method, experimental conditions, samples, MoreDrug addiction causes structural and functional changes in the human brain and can be considered a chronic disease. So far, various studies have been performed to examine addiction on the brain signal, which differs in terms of method, experimental conditions, samples, and results. A review of previous studies and experimental methods is necessary to better examine the issues and challenges in the design of addiction studies. The electroencephalogram (EEG) signal, as a non-invasive instrument, has the potential to monitor the functional and cognitive activity of the brain. EEG can be used to examine the relationship between changes in the brain caused by drug use. This article will review the changes in brain signals caused by substance use as well as after quitting drugs. The results show that the use of narcotic drugs reduces attention processing and causes functional disorders and brain abnormalities. In addicted people, an increase in the activity of the beta subunit and the second alpha subunit, a delay in the event, and a decrease in the amplitude of P300 have been observed. Also, the power ratio of alpha to theta subunit has decreased in T6 and a significant difference has been observed in the power ratio between delta subunit and alpha subunit. The findings showed that people's desire and history of drug consumption affect the power of the electroencephalogram signal. The neural activity in the sub-alpha band of people who quit an addiction is also significantly weaker in the parietal (BA3 and BA7), frontal (BA4 and BA6), and limbic. Manuscript profile -
Open Access Article
281 - Prediction of Success in Neurofeedback Treatment for Attention-Deficit Hyperactivity Disorder before Starting Treatment
Nikoo Khanahmadi MR YousefiIn this paper, the method of predicting the treatability of patients suffering from hyperactivity with neurofeedback training with the help of extracting the frequency band of the electroencephalogram (EEG) signal and using the brain-functional communication evaluation MoreIn this paper, the method of predicting the treatability of patients suffering from hyperactivity with neurofeedback training with the help of extracting the frequency band of the electroencephalogram (EEG) signal and using the brain-functional communication evaluation criterion is done to determine the person's treatability before starting the neurofeedback treatment. This algorithm consists of six steps: In the first step, a data set of EEG signal recording during neurofeedback stimulation from 60 students in the age group of 7 to 14 years (regardless of gender) with hyperactivity in two treatable and non-treatable classes was obtained from the Mendelian database. In the second step, primary filtering has been done to reduce the noise of the data set using a pre-processing block. In the third step, the frequency distribution of the alpha and beta bands is extracted from the noise reduction signals. In this type of data, the difference in the EEG components of each group can be expressed by measuring brain-functional communication and using the phase lock index (PLI), which is used to detect the existence of a connection between the brain lobes involved once using the probability value index. In the t-test statistical test and to increase the accu­ra­c­y, the genetic algorithm was used to identify the effective electrodes in the treatment. So, the fourth step is to extract the feature, which is to measure the amount of brain communication in the brain signal recording electrodes. In the fifth step, it is to reduce the feature space, the results show show that the lobes involved during neurofeedback stimulation are the frontal and central lobes, and among the 32 EEG recording channels, only the data of 6 channels C3, FZ, F4, CZ, C4, and F3 show a significant difference in the amount of brain communication during stimulation. and finally, in the sixth step, by using different classifications, the output of the combination of classifications was the label of one of two classes, treatable or non-treatable. In this proposed method, the correctness cri­te­rion is used to express the research result, and finally the percentage of correctness obtained is 90.6%. Manuscript profile -
Open Access Article
282 - Static Voltage Stability Analysis by Using SVM and Neural Network
Mehdi Hajian Asghar Akbari Foroud Hossein NorouzianVoltage stability is an important problem in power system networks. In this paper, in terms of static voltage stability, and application of Neural Networks (NN) and Supported Vector Machine (SVM) for estimating of voltage stability margin (VSM) and predicting of voltage MoreVoltage stability is an important problem in power system networks. In this paper, in terms of static voltage stability, and application of Neural Networks (NN) and Supported Vector Machine (SVM) for estimating of voltage stability margin (VSM) and predicting of voltage collapse has been investigated. This paper considers voltage stability in power system in two parts. The first part calculates static voltage stability margin by Radial Basis Function Neural Network (RBFNN). The advantage of the used method is high accuracy in online detecting the VSM. Whereas the second one, voltage collapse analysis of power system is performed by Probabilistic Neural Network (PNN) and SVM. The obtained results in this paper indicate, that time and number of training samples of SVM, are less than NN. In this paper, a new model of training samples for detection system, using the normal distribution load curve at each load feeder, has been used. Voltage stability analysis is estimated by well-know L and VSM indexes. To demonstrate the validity of the proposed methods, IEEE 14 bus grid and the actual network of Yazd Province are used. Manuscript profile -
Open Access Article
283 - Fast Intra and Inter Prediction Mode Decision of H.264/AVC for Medical Image Compression Based on Region of Interest
Mehdi Jafari Homayoun Mahdavi-Nasab Shohreh KasaeiThis paper aims at applying H.264 in medical video compression applications and improving the H.264 Compression performance with better perceptual quality and low coding complexity. In order to achieve higher compression of medical video, while maintaining high image qu MoreThis paper aims at applying H.264 in medical video compression applications and improving the H.264 Compression performance with better perceptual quality and low coding complexity. In order to achieve higher compression of medical video, while maintaining high image quality in the region of interest, with low coding complexity, here we propose a new model using H.264/AVC that uses lossless compression in the region of interest, and very high rate, lossy compression in other regions. This paper proposes a new method to achieve fast intra and inter prediction mode decision that is based on coarse macroblocks for intra and inter prediction mode decision of the background region and finer macroblocks for region of interest. Also the macroblocks of the background region are encoded with the maximum quantization parameter allowed by H.264/AVC in order to maximize the number of null coefficients. Experimental results show that the proposed algorithm achieves a higher compression rate on medical videos with a higher quality of region of interest with low coding complexity when compared to our previous algorithm and other standard algorithms reported in the literature. Manuscript profile -
Open Access Article
284 - Individual factors of addiction relapse among self- introduced addicts of Andimeshk city
Farshideh Keyhani Sadegh Moradi Gholamreza Mohammad NaslReceive Date: 2023/04/15 Revise Date: 2023/07/02   MoreReceive Date: 2023/04/15 Revise Date: 2023/07/02 Accept Date: 2023/07/05 The high rate of addiction relapse in the society has made it inevitable to carry out etiological research in order to direction of identify the underlying factors of returning to this crime as the most important social damage, for the design and implementation of preventive programs. Therefore, the current cross-sectional descriptive research with the aim of identifying and prioritizing individual factors of addiction relapse among self- introduced addicts, using a researcher-made questionnaire based on a random-class selection of 150 people from the statistical population in addiction treatment centers in Andimshek city in the year 2018 was done. To analyze the data, descriptive statistics and spss software were used. : Among the thirteen items of variable individual causes, the temptation to re- use drugs had the most effect rate and the consumption of alcohol had the least effect rate on the returning to addiction. Individual factors affecting the addiction relapse also include the components of temptation to re-use drugs, weakness in the tolerance of withdrawal effects, referring to previous places of use, weakness of will and weakness of self-confidence, severe emotional shock, onset of insomnia or low insomnia, non-completion of detoxification period and treatment. Manuscript profile -
Open Access Article
285 - Comparison of cognitive emotion regulation, social competence and aggression among normal and internet addicted adolescents (Case study: 18-18 year old students in Tabriz)
Saeid sharifi Rahnemo Mehri Saniei ayatolla fathi Majid Sharifi RahnamoThe purpose of this study was to identify and determine the differences in cognitive emotion regulation, social competence, and aggression among adolescents with internet addiction and normal adolescents in Tabriz. The purpose of this study is fundamental, in terms of p MoreThe purpose of this study was to identify and determine the differences in cognitive emotion regulation, social competence, and aggression among adolescents with internet addiction and normal adolescents in Tabriz. The purpose of this study is fundamental, in terms of purpose, and in terms of causal-comparative data collection. The target population includes all high school adolescents in Tabriz between the ages of 15 and 18 years. By simple random sampling method, 100 students who scored higher than the mean of the questionnaire (score above 40) as individuals with internet addiction Known and compared with research group using peer group (100 normal students). For gathering information, Flannery et al.'s (1990) social competence scale, Garnefsky's, Craig & Spinhaun's (2002) Cognitive Emotion Regulation Questionnaire, Young's Internet Addiction Test, and Arnold H. Boss and Perry's Aggression Questionnaire (1992) were used to analyze. Data were analyzed using multivariate analysis of variance. The findings showed that there was a significant difference between the scores of adolescents with internet addiction and normal adolescents in terms of self-blame, acceptance, rumination, positive re-focus, re-focus on planning, etc. Manuscript profile -
Open Access Article
286 - The Relationship between Moral Development, SMS Addiction and Dropout Rates amongst Students
Meysareh Keramati Seyedeh Olia EmadianThe transition of ethical values in teenagers and youths is greater than in any other period. The rapid cognitive growth in teenagers and youths causes such persons to judge moral and value issues better and encounter these issues with more complicated and finer reactio MoreThe transition of ethical values in teenagers and youths is greater than in any other period. The rapid cognitive growth in teenagers and youths causes such persons to judge moral and value issues better and encounter these issues with more complicated and finer reactions. The aim of this study was to investigate the relationship between moral development, SMS addiction and dropout rates in second high school students in Behshahr city. Hence, a total of 357 students amongst all the students in first, second and third base in the second high school of Behshahr (2015-16) was selected with a cluster sampling method. In order to collect the data, the Lotfabadi moral development test, SMS addiction test and dropout questionnaire were used. The results of the analysis of the data, using analysis of variance, correlation coefficient, t independent and regression in P<0.05 level, showed that there are reverse and negative correlations between moral development, SMS addiction and dropout rates, but there is a direct and positive correlation between SMS addiction and dropout rates. It also showed that the moral development variable can be predicted by SMS addiction and dropout variables. Manuscript profile -
Open Access Article
287 - The Relationship between Internet and Cell-Phone Addictions and Academic Burnout in University Students
Elham Hosseinpour Ali Asgari Mohsen AyatiThe aim of this study was to investigate the relationship between Internet and cell-phone addictions and academic burnout in Birjand University students. The research method was a descriptive correlational. The research population included all the undergraduate students MoreThe aim of this study was to investigate the relationship between Internet and cell-phone addictions and academic burnout in Birjand University students. The research method was a descriptive correlational. The research population included all the undergraduate students of Birjand University (8591 people) studying during the academic year of 2014-15. Based on Krejcie and Morgan's table, 370 people were chosen as the research samples using a cluster sampling method. To collect the data, Young's Internet addiction questionnaire, Young-Koo's cell-phone addiction questionnaire, and Berso’s academic burnout questionnaire were used. For data analysis, Pearson's correlation and regression were applied. The results were indicative of a positive significant relationship between cell-phone and Internet addictions and academic burnout. Also the regression result revealed that Internet addiction was a predictor of academic burnout and cell-phone addiction was a predictor of academic exhaustion, cynicism, and inefficacy. Manuscript profile -
Open Access Article
288 - The relationships of family communication patterns, Internet addiction and academic adjustment of high school students in Ahwaz
Hoda Abdi Soran DerakhshaniThe aim of this study was to determine the relationship of family communication patterns, internet addiction and academic adjustment. The type of research was applied in term of purpose and descriptive correlation in term of implementation. Statistical population includ MoreThe aim of this study was to determine the relationship of family communication patterns, internet addiction and academic adjustment. The type of research was applied in term of purpose and descriptive correlation in term of implementation. Statistical population included high school students from fourfold restrictions of Ahwaz. Among them 359 students, both boys and girls from 1 and 3 restrictions were chosen as sample by using stage randomized sampling method. Adjustment questionnaire (Sinha & Sing), the Young Internet addiction questionnaire and revised relationships family patterns communication scale of Koerner & Fitzpatrick were employed in this study. The research findings indicated that there is a significant correlation between orientation of conversation, orientation of conformity, internet addiction and adjustment (educational, emotion and social) (P≤0.01). Whereas the educational and social adjustment were not significantly correlated with orientation of conformity (P≤0.05). On the other hand, the orientation of conversation and internet addiction were able to predict the adjustment between students. Therefore, in the process of adjustment, it is necessary to consider the role of family communication patterns and internet addiction. Manuscript profile -
Open Access Article
289 - The Relationship between Attachment Styles, Fear of Negative Evaluation and Internet Addiction in College Students
Nazli Tavakoli Farhad Jamhari Noor Ali FarrokhiAddiction to internet as one of the phenomena of the modern era includes cognitive, excitatory and behavioral aspects. The present study aimed to investigate the relationship between the attachment styles, fear of negative evaluation and internet addiction in college st MoreAddiction to internet as one of the phenomena of the modern era includes cognitive, excitatory and behavioral aspects. The present study aimed to investigate the relationship between the attachment styles, fear of negative evaluation and internet addiction in college students. The method of the study was correlational. The population included all the M.A. and Ph.D. students studying at the faculty of human and social sciences, Islamic Azad University, Science and Research Branch, Tehran, Iran in 2013. 161 students were selected as the final sample, who filled the Internet Addiction questionnaire, the Adult Attachment Inventory and the Brief Fear of Negative Evaluation Scale. The data were analyzed using Pearson correlation coefficient and linear regression analysis tests. The findings indicated that avoidant insecure attachment styles (r=0.264), anxiety insecure (r=0.300) and fear of negative evaluation (r=0.174) were significantly correlated with internet addiction, whereas the secure attachment style was not significantly correlated with internet addiction. In addition, regression analysis results revealed that avoidant insecure attachment styles and anxiety insecure (R2=0.130) and fear of negative evaluation (R2=0.030) had significant contribution in predicting the students' addiction to internet. Therefore, to prevent internet addiction, it is necessary to consider the role of psychological factors such as insecure attachment styles and fear of negative evaluation. Manuscript profile -
Open Access Article
290 - The Relationship between Video Games Addiction and Family Functioning, Sensation Seeking and Aggression in Students
Davoud Hajkhodadadi Ali Mohammad Nazari Morteza ManteghiThe present study was conducted to determine the contribution of family functioning variables (problem solving, communication, role performance,emotional responsiveness, emotional intercourse, behavior control and overall functioning), sensation seeking and aggressi MoreThe present study was conducted to determine the contribution of family functioning variables (problem solving, communication, role performance,emotional responsiveness, emotional intercourse, behavior control and overall functioning), sensation seeking and aggression in the prediction of video games addiction among students. The method of this study was descriptive correlational. So, 302 high school boy students from Karaj City were selected with multi-stage sampling method and studied. Instruments of the study were family assessment device (FAD), problem video game playing (PVP), sensation seeking scale (SSS) and Buss & Perry aggression questionnaire. Pearson correlation and stepwise regression analysis were used for statistical analysis of the data. The results indicated that there was a significant correlation between family functioning in all dimensions (problem solving, communication, role performance, emotional responsiveness, emotional intercourse, controlling behavior and overall performance) and the video games addiction of students (r=0.31, P<0.01). There was a positive relationship between aggression of students and video games addiction (r=0.47, P<0.01). Between sensation seeking of students there was a significant positive relationship with video games addiction (r=0.27, P<0.01). The regression results indicated that among the investigated predictive variables, variables of aggression, role performance (a dimension of family functioning), and sensation seeking were able to predict the video games addiction. In general, 28.4% of the variance in video games addiction was explained with the variables. Manuscript profile -
Open Access Article
291 - Prediction of Internet addiction based on perceived social support , stress coping styles and emotional intelligence in students
mohammadali taleghaninejad Rahim Davari Farah lotfikashaniThe aim of this study was to predict Internet addiction based on perceived social support and coping styles with students' stress and emotional intelligence. The method of the present study was descriptive-correlational. The statistical population included secondary sch MoreThe aim of this study was to predict Internet addiction based on perceived social support and coping styles with students' stress and emotional intelligence. The method of the present study was descriptive-correlational. The statistical population included secondary school students in the second year of Tehran in the academic year of 1397-98 and the statistical sample size included 400 people who were selected by available sampling method. Samples were measured through Yung internet addiction questionnaire (1998), emotional intelligence questionnaire based on Bradbury - Graves (2004), perceived social support developed by Zimet and colleagues (1988), The Lazarus and Folkman’ ways of coping questionnaire (1985). Multiple regression was used to test the hypotheses. The findings showed that social support, emotional intelligence and problem-oriented coping style predict negatively and meaningfully, and emotionally-oriented coping style predicts students' Internet addiction in a positive and meaningful way.Also, among the dimensions of social support, family and important people, and among the dimensions of emotional intelligence, the relationship management dimension predicts students negatively and significantly in Internet addiction. Manuscript profile -
Open Access Article
292 - The Relationship between Loneliness and Mental Health with Internet Addiction in High School Students in Sari, 1397-1396
Marzieh Rezaei Kalantari Forozan Eftekhari KanzariThe present study was conducted to investigate the relationship between loneliness and mental health with Internet addiction among male high school boys in the city of Sari in 1396-1397. The research method was descriptive-correlational. The statistical population consi MoreThe present study was conducted to investigate the relationship between loneliness and mental health with Internet addiction among male high school boys in the city of Sari in 1396-1397. The research method was descriptive-correlational. The statistical population consisted of high school boy students in a one-sided district. Based on Krejcie and Morgan's tables, 357 people were selected by simple random sampling and were assigned to Goldberg mental health tests, emotional socio-emotional emotions And colleagues, Yang's Internet addiction responded. The results were analyzed by single-variable t-test, correlation matrix and multiple regression test. Results showed that there is a relationship between loneliness and mental health with Internet addiction in students. The level of loneliness, mental health, internet addiction among students is significantly lower than the average. There is a relationship between the components of loneliness and mental health with Internet addiction among students. As well as the results of regression analysis, the contribution of each component of loneliness and health in predicting online addiction to students is different. As romantic loneliness is 0.19, the symptoms of depression are 0.25 The largest contributors to the prediction of Internet addiction were students, as Internet addiction could threaten students' sense of loneliness and mental health. It is essential for the proper use of the Internet, the benefits and disadvantages of the virtual world of the Internet, culture building and proper education at the family and community level. Manuscript profile -
Open Access Article
293 - Relationship between cyberspace addiction with cyber bullying and no mobile phone phobia in College students
Amir hosein Shirafksn Akbar Nasrollahi Ramazan HassanzadehThe purpose of this study was to investigate the relationship between cyber bullying and cyber bullying in college students. The research method is descriptive-correlational.Statistical population is medical students of Islamic Azad University In Mazandaran province in MoreThe purpose of this study was to investigate the relationship between cyber bullying and cyber bullying in college students. The research method is descriptive-correlational.Statistical population is medical students of Islamic Azad University In Mazandaran province in 1398, 340 samples were selected by stratified random sampling using Krejcie-Morgan table.Data were collected using the mobile-based social networking questionnaires of Khajeh Ahmadi et al.(2016),cyber bullying Minnesota and et al.(2011),and Nomophobia Yildirim & Coria (2015),and were collected through descriptive and inferential statistics. Pearson and Assyrian correlation tests were used to analyze the data. The results showed that there is a positive average relationship between cyber bullying with 0.37 and cyber bullying.Also, cybersecurity addiction was associated with an almost robust 0.52 percent of mobile phobia(P = 0.05),with the result that training in promoting media literacy in society,especially in our young generation, culture of choice and proper use of media. New workshops are offered to them in the form of workshops. Manuscript profile -
Open Access Article
294 - Developing a model for predicting student performance on centralized test Based on Data Mining
mostafa yousefi Tezerjan Esrafil Ala Maryam MollabagherThe aim of this study is to provide a model for predicting University of Applied Science & Technology students' scores in centralized exams in the coming semesters of the university. For this purpose, the status of the 19/207 student/ course grades has been studied MoreThe aim of this study is to provide a model for predicting University of Applied Science & Technology students' scores in centralized exams in the coming semesters of the university. For this purpose, the status of the 19/207 student/ course grades has been studied in 8 courses in 6 provinces and 28 educational centers, that have been held in an associate's and bachelor's degree level and concurrently across the country in the second semester of 1397-98 And by using the feature selection method, the most effective ones were selected. To clarify the relationships between the selected features and the decision tree model with C5.0 algorithm using SPSS Modeler software, with 10 effective indicators, a model for predicting students' scores in the next semester is presented in the courses approved for the centralized exam. This predictive model can be effective in making the learning process more efficient in the academic system. The results of these models include suggestions for modifying the test process, finding students and centers, and out-of-pattern conditions for further monitoring and identifying centers whose students' average GPAs were high but poor on the centralized test. Manuscript profile -
Open Access Article
295 - Academic procrastination and psychological well-being of female adolescents based on Internet addiction
maral ebrahimi ayatolla fathi saeid sharifi rahnmoThe aim of this study was to predict the academic procrastination and psychological well-being of female adolescents based on the rate of Internet addiction. This research is a descriptive correlation in terms of applied purpose and in terms of nature and method. The ta MoreThe aim of this study was to predict the academic procrastination and psychological well-being of female adolescents based on the rate of Internet addiction. This research is a descriptive correlation in terms of applied purpose and in terms of nature and method. The target population is 29747 female high school students in Tabriz, from which 370 people were selected based on Krejcie Morgan table using multi-stage cluster sampling method. In order to collect the required data, Young's Internet Addiction Questionnaire (1996), Reef Psychological Well-Being Questionnaire (1980) and Riding Academic Procrastination Questionnaire (2011) were used, and Pearson correlation test was used to analyze the data. , Analysis of variance and multiple regression were used in spss23 software environment. The findings showed that the components of Internet addiction (social problems, performance impairment, lack of control, morbid use of chatrum and neglect of professional and educational duties) are able to positively delay the academic procrastination of female adolescents and psychological well-being in the form of Predict negatively and meaningfully. Manuscript profile -
Open Access Article
296 - Modeling the structural relationships of internet addiction based on academic self - regulation with the mediating role of academic resilience
hasan teymorzadeh Mohammad Mohammadipour Abolfazl BakhshipourThis survey was carried out with the purpose of identifying the predictive role of academic self - regulation on internet addiction in order to help to design effective preventive interventions with the mediating role of academic resilience. This survey uses descriptive MoreThis survey was carried out with the purpose of identifying the predictive role of academic self - regulation on internet addiction in order to help to design effective preventive interventions with the mediating role of academic resilience. This survey uses descriptive-analytical method on the basis of modeling structural equations. 300 students of Farhangian University in North Khurasan who were studying in the academic year 2019-2020 were selected by random sampling, and replied to the Young (1998) internet addiction questionnaire, Magno (2010) self-design questionnaire, and Samuels academic resilience (2004). Face validity and content validity of the questionnaires were approved by professors and their reliability was achieved by Cronbach alpha as respectively (0.91, 0.91 & 0.79). Descriptive statistical method, regression analysis, and structural equations were used for data analysis. Evaluation of the hypothetical model of research by the use of fit indexes (CFI=.91, PCFI=.74, GFI=.92, and RMSEA=.075) showed that the survey has good fit index, and that academic resilience has a mediating role in the relationship between academic self- regulation and internet addiction. Also, academic self- regulation and academic resilience have negative significant relationship with internet addiction with respective ratios of (-0.25 and -0.38). Manuscript profile -
Open Access Article
297 - A Study of the Relationship between the Rate of Addiction to Internet with Academic Motivation and Social Development among High School Students in Mazandaran Province
Fazileh Rohani Saeedeh TariThe purpose of the survey was to study the relationship between the rate of addiction to internet with academic motivation and social development. The method of the research was descriptive correlation. The statistical population included all high school students of Maz MoreThe purpose of the survey was to study the relationship between the rate of addiction to internet with academic motivation and social development. The method of the research was descriptive correlation. The statistical population included all high school students of Mazandaran province which consisted 99328 ones. 417 students were selected as statistical sample. Yang’s internet addiction questionnaire, with a reliability index of 0/95, Wailand’s standard growth development questionnaire with a reliability index of 0/92 and a researcher-made questionnaire with a reliability index of 0/86 were used as the measurement tools. Formal and content validity of the tools were examined and confirmed by the related experts. The data were analyzed by both descriptive statistics including frequency and percentile tables, mean and standard deviation, and by inferential statistics including Pearson correlation coefficient and t test. The results showed that there was no significant difference between boy and girl students in urban and rural areas, but there was a significant reverse relationship between internet addiction and academic motivation among urban and rural students. There was also a significant reverse relationship between internet addiction and academic motivation between boy and girl high school level students in urban and rural areas. Manuscript profile -
Open Access Article
298 - A Study of Relationship between Internet Addiction and Academic Achievement and Learner's Personality Features
Ramezan Hassanzadehd Atefeh Beydokhti Abbas Rezaei Fatemeh RahaeiThis study was designed to study the relationship between Internet addiction and academic achievement and personality characteristics of learners. The research method was a descriptive - correlational one. The statistical population included all high school students in MoreThis study was designed to study the relationship between Internet addiction and academic achievement and personality characteristics of learners. The research method was a descriptive - correlational one. The statistical population included all high school students in Semnan province in 2011-2012 academic year. Based on Krejcie and Morgan table, 800 subjects were selected through stratified random sampling method. Data were gathered using young Internet addiction questionnaire and NEO personality survey. The data were analyzed through SPSS 16 software. The results showed that there was significant difference between boy and girl students in using internet. In addition, the average of using internet by boys is more than that of girls. The correlation between Internet addiction and Neuroticism and Agreement was significant and positive, however there was a significant reverse correlation between Internet addiction and extrovertism and conscientious characteristics. There was no significant relationship between Internet addiction and openness. The results also showed that personality characteristics were effective and predictive factors in using Internet. Manuscript profile -
Open Access Article
299 - Computer Games Addiction, Emotional and Social Anxiety with Adolescent Academic Performance: the moderating role Self-Control
Mahbobeh Mansouri Hadi FarhadiThe purpose of this study was to investigate the relationship between addiction to computer games, emotional and social anxiety with academic performance: the role of self-control moderation in adolescents. The research design was a descriptive-correlational study. The MoreThe purpose of this study was to investigate the relationship between addiction to computer games, emotional and social anxiety with academic performance: the role of self-control moderation in adolescents. The research design was a descriptive-correlational study. The statistical population of the study consisted of 200 students (99 boys and 101 girls) from 5th district students of Isfahan who were selected by available sampling method. The data collection tools consisted of Self-control questionnaire Tangjini et al. (2004), Emotionality Marvin Zuckerman (1978), social anxiety of adolescents in Paklak (2004), Pham and Taylor educational performance questionnaire (1999), addiction to Farhadi's computer games (2016), and researcher-made questionnaire Demographics were used as research tools. The collected data from the questionnaire were analyzed by least squares method in structural equations using SPSS-22 and Smart_PLS-3 software. The results of path analysis indicated that self-control has been able to modify the relationship between computer addiction and academic performance, and the amount of moderating effect is up to 239/0, that is, self-control in the relationship between computer addiction to computer games And educational performance play a moderating role (P <0.05), while it has not been able to modify the relationship between social anxiety and academic performance and the relationship between emotional and academic performance. Manuscript profile -
Open Access Article
300 - The relationship of addiction to virtual social networks with time perspective and mental health of students
Ramazan Hassanzadeh Fahimeh GhasemiIntroduction: Today's university education is characterized by rapid and unpredictable changes in the personal experience of individuals. The experience of individuals has changed the psychology of lifestyle time, and many of the relationships between them are still unk MoreIntroduction: Today's university education is characterized by rapid and unpredictable changes in the personal experience of individuals. The experience of individuals has changed the psychology of lifestyle time, and many of the relationships between them are still unknown. The purpose of this study was to investigate the relationship between addiction to virtual social networks with time perspective and health behaviors in students. Method: The research method is descriptive correlational. The research population was 1730 students of Joybar Azad University in 1396. 317 people were selected by stratified random sampling method (by grade). Each subject completed the questionnaire of addiction to virtual social networks, time perspective and health behaviors. Results: The results showed that 1% decrease in addiction to virtual social networks, 24% on time spell and 18% on health behaviors, and also increase the amount of time perspective, increase the level of health behaviors. And vice versa. Conclusion: Time lag is a key factor in the abuse of social networks, because with the increase of futurism, learning to delay immediate pleasure and paying attention to the consequences of current practices can lead to increased health behaviors Reducing addiction to cyberspace helped students. Manuscript profile -
Open Access Article
301 - The Addiction among Students and Its Effect on Mental Health
Bahram Mirzayian Fereshteh Baezzat Naeimeh KhakpoorOne of the most important tools in the modern world is internet. But if we don’t use it rightly, it may result in internet addiction. The purpose of this study was to compare the rate of addiction among students and its effect on their mental health. The method of MoreOne of the most important tools in the modern world is internet. But if we don’t use it rightly, it may result in internet addiction. The purpose of this study was to compare the rate of addiction among students and its effect on their mental health. The method of the research was descriptive and causal-comparative (expost facto). In this study, 100 students were selection among all the students studying at Mazandaran University through random sampling method in 2010-11 academic year. Based on the internet addiction test, the students were divided into three groups (mild, moderate, and severe). In order to compare these three groups from a health point of view, GHQ-28 was used. To analyze the research data MANOVA, ANOVA, and Shefe method were used. The results showed that there was a distinction between the mental health and its effects (somatic, anxiety, social, depression syndrome) among students and the rate of internet addiction. We also conclude that Internet addiction can threaten students. Manuscript profile -
Open Access Article
302 - Development of the Concept of Global Governance in International Relations
Sajjad HeidaryfardAbstract: The concept of global governance has become more prevalent and its meaning has been more complicated by the passage of time. While there is a perception that there should be some flexibility in the use of concepts in both theoretical and practical aspects beca MoreAbstract: The concept of global governance has become more prevalent and its meaning has been more complicated by the passage of time. While there is a perception that there should be some flexibility in the use of concepts in both theoretical and practical aspects because they are desirable and unavoidable yet it felt that there is conceptual disarray which hinders more fruitful discussions and the expansion of coherent theories of global governance. A more careful use of the term global governance is necessary to achieve the goal of theorizing it. Therefore the question is "whether we can treat global governance as a theory (let alone a dominant theory)?" The present article does not seek to clarify the concept but to reveal ambiguities around it. In this direction the discussion is divided into three parts: first the concept of global governance (definitions), second contending perspectives on global governance and the third empirical problems (global governance as a situation). The methodology used in the paper is descriptive-explanatory by using library sources. Manuscript profile -
Open Access Article
303 - شناسایی دسته های پیش بینی همپوشان : تمرکز بر کتب درسی زبان انگلیسی با اهداف ویژه
فرحناز بهلولی اسگوییمفهوم "پیش بینی" به عنوان یک ابزار بلاغی آینده نگر در بهبود توانایی های خواندن زبان آموزان در حوزه زبان انگلیسی با اهداف ویژه بر پایه این فرض اهمیت ویژه میابد که وقتی ساختار بلاغی متن توسط زبان آموز درک شود، وی می تواند از آن برای پیش بینی نوع اطلاعات پیش رو بهره ببرد. Moreمفهوم "پیش بینی" به عنوان یک ابزار بلاغی آینده نگر در بهبود توانایی های خواندن زبان آموزان در حوزه زبان انگلیسی با اهداف ویژه بر پایه این فرض اهمیت ویژه میابد که وقتی ساختار بلاغی متن توسط زبان آموز درک شود، وی می تواند از آن برای پیش بینی نوع اطلاعات پیش رو بهره ببرد. هدف این مطالعه بررسی امکان مرتبط کردن سیگنالهای متنی " مقوله های پیش بینی" با دانش محتوای متن بود. برای این منظور، یک پژوهش توصیفی کیفی بر روی داده ها مشتمل بر 10 فصل از 5 کتاب درسی در رشته مهندسی عمران با استفاده ازمدل تحلیلی طراحی شده توسط "تادرس" بر پایه مفهوم پیش بینی اتخاذ شد. شش دسته"مقوله پیشبینی" معرفیشده توسط تادروس که زیربنای این مدل هستند، شامل شمارش، برچسبگذاری پیشرفته، گزارش، بازپیدایی، فرضیه سازی و سؤال ، بهطور مداوم در متون انتخاب شده بررسی شدند. یافتههای این مطالعه یک دسته پیشبینیکننده جدیدی به نام «مقولههای پیشبینیهمپوشان» را نشان داد که در آن دو یا سه دسته مقوله های پیشبینی، دقیقاً روی یکدیگر همپوشانی دارند.بر مبنای نتایج بدست آمده از این مطالعه ، آگاه سازی زبان آموزان ، معلمان و طراحان کتب آموزشی در مورد وجود چنین مقوله های پیش بینی میتواند مزایای قابل توجهی برای همه اعضای جامعه زبان انگلیسی با اهداف ویژه به همراه داشته باشد. Manuscript profile -
Open Access Article
304 - Study of social and cultural contexts affecting indifference to addiction using foundation data strategy (Case study: Students of Islamic Azad University of Kerman in 1400)
alireza sanatkhah سپیده حضرتیBackground and purpose: In addition to the problem of drug addiction, the indifference of citizens towards this social problem is one of the main concerns of our society. Methodology: The current research is applied in terms of purpose, descriptive in terms of method, a MoreBackground and purpose: In addition to the problem of drug addiction, the indifference of citizens towards this social problem is one of the main concerns of our society. Methodology: The current research is applied in terms of purpose, descriptive in terms of method, and qualitative research based on foundation data method. Purposeful sampling method is available. The participants in the research are 28 students studying at Kerman Azad University. A semi-structured interview has been used as a data collection tool. To reach the reliability criterion, three methods have been used: control or validation by members, analytical comparisons, and the use of audit techniques. The data is collected according to the procedure. Based on the contextual theory, they have been analyzed in three stages of open, selective and selective (central) coding. Findings: Based on the findings, factors such as: inappropriate platforms: preventive participation/social participation, as well as reducing the level of civic commitment/isolationism and normative antipathy as the most important causal factors, antisocial behavior patterns/personality vulnerability/cultural hatred As contextual factors, civil and social indifference/social dissatisfaction/social learning, as intervening factors Manuscript profile -
Open Access Article
305 - Sociological analysis of the processes of sleeping in grave (case study :(Zabol city)
Fatemeh Sadrnabavi Asma SefatgolThe phenomenon of sleeping in the grave has been formed in some cities of Iran in recent yeas. This phenomenon is considered one of the most serious social problems in urban society. These people cannot manage their lives naturally, so their conditions have caused them MoreThe phenomenon of sleeping in the grave has been formed in some cities of Iran in recent yeas. This phenomenon is considered one of the most serious social problems in urban society. These people cannot manage their lives naturally, so their conditions have caused them to lye outside mormal social connection networks. The present study, using a qualitative approach seeks to study the processes of sleeping in graves among homeless.The method used is the narrative analysis and has been done using the technique of open and in-depth interviews. Sample was purposefully selected, and selection was continued until saturation was reached. Hoopert’s method of narrative research was utilized. Instrument validation was through Denizin angle criterion and reliability was based on four criteria: the accuracy of the processes followed, comprehensibility, the use of sufficient documentation and evidence, and the provision of error handling mechanisms. Findings indicated that three key and constructive models of the burial process can be presented; 1- Family history of addiction model 2_ Cultural poverty model 3- Social-economic factors model Manuscript profile -
Open Access Article
306 - Associate professor, Department of Urban planning, Payame-nour University, Mashhad, Iran
Alireza Sanatkah Sepideh Hazrati In addition to the problem of drug addiction, the indifference of citizens towards this social problem is one of the main concerns of our society. This is an applied, descriptive, and qualitative research which made use of a data-bas More In addition to the problem of drug addiction, the indifference of citizens towards this social problem is one of the main concerns of our society. This is an applied, descriptive, and qualitative research which made use of a data-based method. 28 students studying at Kerman Azad University were selected via purposive-available sampling method. A semi-structured interview was used as the data collection tool. To reach the reliability criterion, three methods were used: control or validation by members, analytical comparisons, and the use of audit techniques. The data were collected on the basis of the contextual theory and were analyzed in three stages of open, elective, and selective (central) coding. The findings showed that factors such as inappropriate platforms, preventive participation/social participation, as well as reducing the level of civic commitment/isolationism and normative antipathy were the most important causal factors; antisocial behavior patterns/personality vulnerability/cultural hatred were contextual factor; and civil and social indifference/social dissatisfaction/social learning, were intervening factors Manuscript profile -
Open Access Article
307 - Estimating Heritabilities and Breeding Values for Real and Predicted Milk Production in Holstein Dairy Cows with Artificial Neural Network and Multiple Linear Regression Models
M. Nosrati S.H. Hafezian M. Gholizadeh -
Open Access Article
308 - Assessment of Alternative Single Nucleotide Polymorphism (SNP) Weighting Methods for Single-Step Genomic Prediction of Traits with Different Genetic Architecture
S. Moghaddaszadeh-Ahrabi M. Bazrafshan -
Open Access Article
309 - The Estimation of Body Weight from Body Measurements in Kilakarsal Sheep of Tamil Nadu, India
T. Ravimurugan A.K. Thiruvenkadan K. Sudhakar S. Panneerselvam A. Elango -
Open Access Article
310 - پیشبینی نواحی اپیتوپی سلولهایB و T آنتیژن حفاظتی در باکتری Bacillus anthracis
م. طهمورثپور ن. نظیفی ز. پیرخضرانیانآنتیژن حفاظتی (PA) زیر واحدی از توکسین سیاه زخم در باکتری Anthracis میباشد که به عنوان یک عامل مهم در واکسنهای حفاظت در برابر بیماری سیاه زخم شناخته شده است. یکی از اهداف طراحی واکسنهای نوترکیب اجتناب از عوارض جانبی ارگانیسمهای کشته شده یا ضعیف شده با استفاده از اپ Moreآنتیژن حفاظتی (PA) زیر واحدی از توکسین سیاه زخم در باکتری Anthracis میباشد که به عنوان یک عامل مهم در واکسنهای حفاظت در برابر بیماری سیاه زخم شناخته شده است. یکی از اهداف طراحی واکسنهای نوترکیب اجتناب از عوارض جانبی ارگانیسمهای کشته شده یا ضعیف شده با استفاده از اپیتوپهای خطی خنثیساز آنتیژنهای حفاظتی میباشد. مطالعه حاضر با هدف تعیین اپیتوپهای غالب بر اساس آنالیزهای چند پارامتری انجام شد. از سرورهای بیوانفورماتیکی آنلاین شناخته شده به منظور پیشبینی اپیتوپها استفاده شد و بر اساس بالاترین امتیاز و بیشترین تکرار در نرم افزارهای مورد استفاده، بهترین اپیتوپها انتخاب شدند. تجزیه و تحلیلهای بیشتر در مورد اپیتوپهای پیشبینی شده با استفاده از نرم افزار آنلاین VaxiJen 2.0 و سرورهای هضم پروتئینی (Protein Digest) انجام پذیرفت. در میان اپیتوپهای انتخاب شده در مراحل قبل، آنهایی که دارای بالاترین آنتیژنسیته با حد آستانه 5/0 و کمترین جایگاه محدودکننده پروتئازهای دستگاه گوارش بودند به عنوان اپیتوپهای نهایی انتخاب شدند. اپیتوپهای نهایی برای سلولهای B شامل اسیدآمینههای 308-292، 521-507 و 719-706 بودند. همچنین اسیدآمینههای 31-17، 329-315 و 400-385 به عنوان بهترین اپیتوپهای کلاس MCHI سلولهای T و اسیدآمینههای شماره 464-455 و 669-661 به عنوان بهترین اپیتوپهای انتخابی برای کلاس MCHII در سلولهای T پیشبینی شدند. از آنجایی که وجود ساختار پیچههای تصادفی موجب بالا رفتن احتمال شکلگیری اپیتوپ آنتیژنتیک در ساختار پروتئین میشود، آنالیز نهایی ساختار دوم برای اپیتوپهای نهایی PA نشان داد که تمام این اپیتوپها دارای ۱۰۰ درصد ساختار مارپیچ تصادفی (نامنظم) هستند. Manuscript profile -
Open Access Article
311 - Genetic Trends for Milk Yield, Persistency of Milk Yield,Somatic Cell Count and Calving Interval in Holstein Dairy Cows of Iran
A. Chegini A.A. Shadparvar N. Ghavi Hossein-Zadeh -
Open Access Article
312 - پیشبینی اپی توپهای سلولهایB و Tآنتیژن Omp25 از باکتری بروسلا ملی تنسیس به منظور طراحی واکسن نوترکیب گوسفندی
س. یوسفی م. طهمورثپور م.ه. سخاوتیبروسلوز یکی از رایج ترین بیماریهای دامی است که توسط باکتری گرم منفی بروسلا ایجاد می­شود. با توجه به ضرر­های جدی اقتصادی و درمانی این بیماری که برای دام و انسان همواره به ارمغان دارد تلاش­های بسیاری جهت جلوگیری و درمان این بیماری توسط واکسن­های نوترکیب ب Moreبروسلوز یکی از رایج ترین بیماریهای دامی است که توسط باکتری گرم منفی بروسلا ایجاد می­شود. با توجه به ضرر­های جدی اقتصادی و درمانی این بیماری که برای دام و انسان همواره به ارمغان دارد تلاش­های بسیاری جهت جلوگیری و درمان این بیماری توسط واکسن­های نوترکیب بر پایه آنتیژن­های غشای پروتئینی خارجی صورت می­گیرد. بدین منظور هدف از مطالعه حاضر بررسی خصوصیات بیوانفورماتیکی آنتی ژن Omp25 به عنوان یکی از آنتیژنهای غالب غشای پروتئینی باکتری بروسلا بوده است. در این پژوهش از نرم افزار­های بیوانفورماتیکی مختلفی برای پیشبینی اپی توپ­های B وT، ساختار دوم و سوم پروتئین، خصوصیات ایمنیزایی و ویژگی­های هضم پروتئین استفاده گردید. پیش از استفاده از نرم افزارها میزان دقت آنها توسط دادههای تجربی اعتبار سنجی گردید. نتایج آنالیز بیوانفورماتیکی نشان داد که پنج اپی توپ برای سلولهای B در موقعیتهای 44-26، 79-59، 112-88، 166-146، 202-175 و پنج اپی توپ برای سلولهای T در مکانهای 10-1، 22-14، 132-122، 162-154 و 213-206 وجود دارد. تمامی اپی توپهای شناسایی شده به جز اپی توپهای 10-1 و 22-14 دارای توانایی ایمنیزایی بودند. نهایتاً اپی توپ ناحیه 162-154 به عنوان یک اپی توپ مشترک بین سلولهای B و T جهت طراحی واکسن نوترکیب پیشبینی گردید. Manuscript profile -
Open Access Article
313 - برآورد وزن بدن بر مبنای ابعاد قلب گوسفندان ساردی و تیماهدیت با استفاده از مدلهای مختلف
آی. بوجنانه اس. هلهالیهدف از این مطالعه تعیین رابطه بین وزن بدن (BW) و ابعاد قلب (HG) در گوسفندان ساردی و تیماهدیت و برازش یک معادله پیش­بینی BW بر مبنای HG بوده است. داده­های مورد استفاده در این مطالعه شامل 476 رکورد BW و HG (227 رکورد در ساردی و 249 رکورد در تیماهدیت) بود که از نره Moreهدف از این مطالعه تعیین رابطه بین وزن بدن (BW) و ابعاد قلب (HG) در گوسفندان ساردی و تیماهدیت و برازش یک معادله پیش­بینی BW بر مبنای HG بوده است. داده­های مورد استفاده در این مطالعه شامل 476 رکورد BW و HG (227 رکورد در ساردی و 249 رکورد در تیماهدیت) بود که از نرها و ماده­ها در سنین مختلف و از 33 مزرعه خصوصی جمعآوری گردیدند. میانگین BW و HG در ساردی به ترتیب 2/12 ± 8/34 کیلوگرم و 3/16 ± 0/74 سانتی­متر و در تیماهدیت به ترتیب 7/22 ± 2/39 کیلوگرم و 4/16 ± 4/78 سانتی­متر در تیماهدیت بود. ضرایب همبستگی بین BW و HG که به ترتیب در ساردی و تیماهدیت برابر با 958/0 و 944/0 بوده، نشان ­دهنده وجود همبستگی بالا بین این دو متغیر است. شش مدل پیش­بینی شامل رگرسیون خطی ساده، رگرسیون­های درجه سه و چهار چند جمله­ای و سه رگرسیون غیر خطی (گومپتز، آلومتریک و میشرلیک) برای این داده­ها برازش یافتند. این مدل­ها برای کل داده­ها (صرفنظر از نژاد و جنس)، به طور جداگانه برای همه حیوانات یک نژاد صرفنظر از جنس (مختص نژاد) و به طور جداگانه برای نرها و ماده­ها صرفنظر از نژاد (مختص جنس) به کار گرفته شدند. برای تعیین بهترین مدل رگرسیونی برازش یافته، ضریب تعین (2R یا شبه 2R) میانگین مربعات باقیمانده (MSE) و معیار اطلاعات آکایک (AIC) مورد استفاده قرار گرفتند. هر شش مدل به خوبی با مجموعه داده­ها انطباق داشتند. زیرا 2R یا شبه 2R آنها از 892/0 تا 969/0 متغیر بوده است. با این حال براساس سایر معیارهای انتخاب، چنین به نظر می­رسد که مدل درجه سوم چند جمله­ای بهترین مدل بوده و مدل آلومتریک بایستی نادیده گرفته شود. مشاهدات دور در هر سه مدل برتر با کمک باقیمانده­های استودنت و مقادیر مطلق بزرگتر از دو انحراف معیار که نشان دهنده انحراف معنی ­دار بوده است، کنترل گردیدند. سپس مشاهدات پرت حذف گردیده و بهترین مدل­ها بر روی مجموعه­ داده­های پاکسازی شده پیاده گردیده و مقایسه شدند. بدین ترتیب، برای کل داده­ها، نژاد ساردی و ماده­ها، مدل میشرلیک مناسب بوده و برای نژاد تیماهدیت و نرها، به ترتیب مدل­های درجه سوم و گومپتز مناسب بوده­اند. بنابراین یک معیار جهت کمک به پرورش دهندگان در مدیریت بهتر گوسفندان در هر دسته ارائه گردید. Manuscript profile -
Open Access Article
314 - Performance of Artificial Neural Networks Model under Various Structures and Algorithms to Prediction of Fat Tail Weight in Fat Tailed Breeds and Their Thin Tailed Crosses
ک. نوبری S.D. Sharifi N. Emam Jomea Kashan M. Momen A. Kavian -
Open Access Article
315 - Feasibility Study of Using Photovoltaic Systems in Water and Wastewater Industry (Case Study: Tehran Water and Wastewater Company)
Ensieh Ozgoli Younes Noorollahi Reza Arjmandi Ali MohammadiSince water and wastewater companies are one of the significant energy consumers in urban industries, there is a substantial share to increase electricity demand and as a result, increasing the power plants load. The purpose of this study is to present a new evaluation MoreSince water and wastewater companies are one of the significant energy consumers in urban industries, there is a substantial share to increase electricity demand and as a result, increasing the power plants load. The purpose of this study is to present a new evaluation approach for using solar energy in the water and wastewater industry. Therefore, while consideration of the energy consumption in the six regions of Tehran Water and Wastewater Company, requirements for the installation and operation of photovoltaic systems in this company has been investigated. In the present study, the objective functions are energy consumption costs and greenhouse gas emissions; Also, solar energy potential, increasing population rate and water consumption are the most important independent variables and forecasted electricity consumption, carbon tax, and electricity sales price are also dependent variables. The results of this study, which can be based on using the regression model, show that the increase in electricity consumption and costs are 1.5 and 3 times in this period, respectively. To calculate the amount of greenhouse gas emissions, the three scenarios are implemented and compared with the replacement of 5, 20, and 30% of the company required electricity by photovoltaic systems. The reduction in CO2 emissions due to the production of 30% of electricity consumption with solar energy, amounted to 26,712 thousand tons. On the other hand, taxing more than $ 10 per ton of CO2 emissions changes the consumption pattern and reduces the cost of electricity consumption in this industry by $ 5,987,086. Manuscript profile -
Open Access Article
316 - Forecasting the discharge of the Zayandeh Rood River at the Ghleeh Shahrokh station using deep learning techniques
Mohammad MehraniAbstract- Water discharge is a term in the water industry that refers to the amount of water that passes through a certain point per unit of time. Discharge rate is the amount of water that passes through a specific point such as a river,, water channel, dam valve, pipe MoreAbstract- Water discharge is a term in the water industry that refers to the amount of water that passes through a certain point per unit of time. Discharge rate is the amount of water that passes through a specific point such as a river,, water channel, dam valve, pipe or any other structure such as a faucet cartridge in a unit of time. In the metric system, water discharge rate is expressed in terms of cubic meters per second, cubic meters per hour, or liters per second. The unit of cubic meters per second is used for large flows such as rivers and large canals, and the unit of liters per second is used for the flow of water in wells and water that enters leaks. Measuring the discharge of the river has many effects on people's lives. Knowing the amount of water entering the areas of a river's catchment area is very important in agriculture, potential risks to human and animal life, industries, etc. Therefore, predicting river discharge can lead to effective management and prevent serious damage in the mentioned areas. According to the mentioned cases, the purpose of the presented paper is to predict the river discharge using deep learning techniques. In order to do this, the discharge of the Zayandeh Rood River at Qala Shahrokh station has been investigated and predicted using two techniques - ANFIS and LSTM. The simulation results show 93% to 94% accuracy in predicting the discharge of the studied river. Manuscript profile -
Open Access Article
317 - The effects of stars in Shahname and the Predictions made upon them.
hossein Mansoorian Sorkhgaryeh layla Tavakol RadMaking predications and telling about mysterious event is a common practice in mythology and epic literature of the world. Shahname as on epic contains infinite variety of secret believes, feelings, wishes, and thoughts of human beings. Among positive and negative pred MoreMaking predications and telling about mysterious event is a common practice in mythology and epic literature of the world. Shahname as on epic contains infinite variety of secret believes, feelings, wishes, and thoughts of human beings. Among positive and negative predictions in Shahname, Astronomy plays an important role in forming the events. The predictions based on stars in Shahnamen are described in full details and the heros of this book always try to predict the behavours of others. Ferdousi as an epic poet in his masterpiece, Shahname, makes use of prediction in some sections of his book to develop the stories. The present article investigates the effect of stars on predictions of stories in Shahname. It also anlase the deep stracture of these predictions. Finally, this article in written in descriptive analysis form by referring to various sources. Manuscript profile -
Open Access Article
318 - A Fast Block Size Decision For Intra Coding in HEVC Standard
Mohammadreza Ramezanpour Reihaneh Khorsand -
Open Access Article
319 - Fast Intra Mode Decision for Depth Map coding in 3D-HEVC Standard
Behrouz Rafi Mohammadreza Ramezanpour -
Open Access Article
320 - Multivariate Time Series Prediction Considering Intra-Time-Series and Inter-Time-Series Dependencies
Parinaz Eskandarian Jamshid Bagherzadeh Habibollah Pirnejad Zahra Niazkhani -
Open Access Article
321 - Improving Short-Term Wind Power Prediction with Neural Network and ICA Algorithm and Input Feature Selection
Elham Imaie Abdolreza Sheikholeslami Roya Ahmadi Ahangar -
Open Access Article
322 - The Impact of Mobility Prediction on the Performance of P2P Content Discovery Protocols over Mobile Ad-Hoc Networks
Mona Mojtabaee Morteza Romoozi Hamideh Babaei -
Open Access Article
323 - Chaotic Time Series Prediction by Auto Fuzzy Regression Model
Haleh Nazari Homayun Motameni Babak Shirazi -
Open Access Article
324 - Investigating the factors affecting the reduction of rural youth tendency to drug use (Case Study: Ardabil County)
vakil heidari sarban shararhe saebIntroduction: addiction is one of the biggest problems that threatens the life of rural youth. Therefore, investigating the factors affecting addiction is an important step in combating with this deadly phenomenon. Research aim: the aim of this paper is to investigating MoreIntroduction: addiction is one of the biggest problems that threatens the life of rural youth. Therefore, investigating the factors affecting addiction is an important step in combating with this deadly phenomenon. Research aim: the aim of this paper is to investigating the factors affecting the reduction of rural youth tendency to drug use in the Ardabil CountyResearch Methodology: The research method is analytical -explanative survey type. It can be said that studied population in this study consists of all youth living in rural areas of Ardabil County in 2017 (N=496), among which 217 persons were selected as statistical sample using Cochran formula. Sample size was determined based on the Cochran’s formula and the required data were collected through questionnaires. Content validity of the questionnaire was confirmed by professors and experts and its reliability was determined based on Cronbach's alpha (0.75-0.89).Studied Areas: Ardabil is an ancient city in northwestern Iran, and the capital of Ardabil Province. As of the 2016 census, Ardabil's population was 529,374. Findings: the findings of this research show that addiction is very common among rural youth and several factors is involved at the tendency of rural youth to drug use and the most important of them is the lack of meaning. Results: the findings of this research showed that most important factors reduction of rural youth tendency to drug use in studied region includes four components (empowerment and support actions, combating poverty and making healthy of phenomenal environment, reinforcement of family foundation and psychological capital and extension of mass activities and reinforcement of value and ethical foundations) that explained variance and the cumulative variance by the five factors 48.93.Key words: Addiction, Rural Youth, Rural Development, Ardabil County Manuscript profile -
Open Access Article
325 - Analysis of the most important factors affecting the spread of addiction in rural areas; (Case Study: High Gharaposhtloo county, township Zanjan)
Mehdi Cheraghi Masumeh MohammadloAddiction in rural communities is growing. However, most studies have been done addiction in urban areas, Research is needed on the factors affecting the drug to be done in rural areas. The present study investigated factors affecting the spread of addiction in rural ar MoreAddiction in rural communities is growing. However, most studies have been done addiction in urban areas, Research is needed on the factors affecting the drug to be done in rural areas. The present study investigated factors affecting the spread of addiction in rural areas. Research method is applied and the nature of the research is descriptive - analytic. The data collection tool for library field (questionnaire), for descriptive and inferential analysis (factor analysis) is. The study consisted of rural families is High Gharaposhtloo, Due to the large number of villages and 12 villages of the district to a detailed study by cluster sampling based on population, the number of samples per class population was found. The findings show that the most important factor of economic development in rural areas of study drug. Special value of this factor is 7.756, which alone is able to calculate and explain 13.96% of the variance. The variable load factor was 16. Of the 16 variables studied in this variable lower drug prices with coefficient of 0.785, unemployment loadings 0.710 and variable low, easy access to drugs with coefficient of 0.716, the economic factor, individual and infrastructure as the most important factors the spread of addiction were identified. Manuscript profile -
Open Access Article
326 - The Role Of Flood Anticipation And Warming Systems In Reducing Flood Adverse Impacts
Hossain Mohammadi Mehran Maghsoudi Gholam Reza RowshanIn this field, flood one of the most dangers disasters for people of many countries face it and is one of the most destroying disasters among 15 known natural climatology all over the world. For example, about 196 million people in over 90 countries are exposed to dange MoreIn this field, flood one of the most dangers disasters for people of many countries face it and is one of the most destroying disasters among 15 known natural climatology all over the world. For example, about 196 million people in over 90 countries are exposed to danger of flood water.The increase in the population and the shortage of agricultural lands led to human population movement to the flood water plains and this intensifies the danger of flood water and its effects. But nowadays, considering the destroying effects of flood water on the human societies, structural methods of protection against flood water such as flood water bands and other methods of controlling and directing flood water, can be efficient only when the design capacity of these structures is high. But when these structures break, always a remaining risk exists. In most cases, such structures may be improper or their execution may be impossible because of environmental reasons and therefore non-structural methods are needed. The flood water warning for directing of the remaining risk is necessary and it is one of the most efficient methods of non-structural methods for flood water management. Manuscript profile -
Open Access Article
327 - Predicting rainfed barley crop yield using Artificial neural network and fuzzy neural systems in Khorasan provinces-Iran
Ahad Madani Abbas Khasheyi َAlireza khakzad sivakiIn this research, we try to predict the yield of rainfed barley in Khorasan provinces using climatic parameters and two methods of artificial nervous netwework (Ann) and fuzzy neural system (Anfis). Calculations were performed with MATLAB software and then the statistic MoreIn this research, we try to predict the yield of rainfed barley in Khorasan provinces using climatic parameters and two methods of artificial nervous netwework (Ann) and fuzzy neural system (Anfis). Calculations were performed with MATLAB software and then the statistical indices of correlation coefficient (R2), root mean square error (RMSE) and full mean error (MAE) were used to evaluate the performance of the models. Last year's yield and rainfall had an effective role in reducing prediction error and increasing correlation coefficient in both Ann and Anfis methods. Last year's yield and evapotranspiration made the Anfis method more accurate than the Ann method. The results of both Anfis and Ann methods for model L inputs, which included rainfall, relative humidity and last year's yield, showed that this model achieved the highest accuracy among the input models. However, in the Anfis method for model E inputs, which included evapotranspiration, rainfall, relative humidity and minimum temperature, the results showed that it was more accurate than the Ann method. The greatest difference in accuracy in estimating yield between the two Anfis and Ann methods was observed with R inputs model, which includes moisture inputs, Dew point temperatures and maximum temperatures. The presence of radiation parameters at the inputs reduced the accuracy of yield estimation in both methods. Overall, the Anfis method was more accurate in estimating yield than Ann. Manuscript profile -
Open Access Article
328 - Prediction of tendency to addiction based on maladaptive schemas, attachment styles and parental patterns in women who use tobacco
Sara Yavarimahboob Marjan RabeiThe purpose of this study was to predict addiction tendency based on early maladaptive schemas, attachment styles and parental patterns in women who use tobacco. For this purpose, 130 women smokers (smokers and hookahs) living in west of Tehran were selected by availabl MoreThe purpose of this study was to predict addiction tendency based on early maladaptive schemas, attachment styles and parental patterns in women who use tobacco. For this purpose, 130 women smokers (smokers and hookahs) living in west of Tehran were selected by available sampling method. In order to measure variables, the Ahwaz addiction tendency (Zarger et al.) Questionnaire was used to measure the addiction tendency variable, Yang-Short Form Short Scale (YSQ-SF) Questionnaire to measure the variables of early maladaptive schemas, adult attachment style questionnaire Collins and Reid were used to measure the variables of attachment styles and the parental model questionnaire was used to measure this variable. After completing the questionnaires by the subjects, SPSS-21 software was used to analyze the statistical data in two descriptive and inferential levels. Inferential statistical results showed that the variables of the early maladaptive schemas with defective / shame schemata (β = 286/0), dependency / incompetence (β = 0/208), obedience (β = 0.242) and sacrifice (262 / 0 = β) can predict the tendency to addiction. Also, the variable of attachment style with avoidant style with positive and significant relationship (β = 0.244) and parenting model variables with logical authoritative model with negative and significant relationship (β = -0.444) can be related to addiction tendency in women who consume Tobacco Forecast. The tendency to addiction in tobacco use women is predictable based on early maladaptive schemas, attachment style and parenting pattern. Therefore, it is necessary for researchers, researchers and therapists to focus on reducing the trend towards addiction or leaving people with substance abuse to these variables. Manuscript profile -
Open Access Article
329 - Investigating the role of individual, family, social and economic factors in the tendency towards addiction in women (Case Study: Golestan Province)
Akram Mohammadiniko Alireza Ghorbani Azam MohhamadinikooDrug addiction is a social pathology that underlies the cause of the collapse of many values, cultural norms and ethics. This dilemma was considered by men only, but has recently also involved women. Objective: The present study aims to investigate the individual, famil MoreDrug addiction is a social pathology that underlies the cause of the collapse of many values, cultural norms and ethics. This dilemma was considered by men only, but has recently also involved women. Objective: The present study aims to investigate the individual, familial, social, and economical factors. Methodology: This study was performed in Applied and survey manner. Method: Statistical population includes all of women who had referred to two rehab centers in Gorgan and Azadshahr cities. The subject was consisted of all women with a tendency toward addiction in Addiction Treatment Center in Gorgan, all 343 people were considered. The sample size using Cochran formula was 200 people. Sampling was conducted in random manner. Data collection was done by using self-made questionnaire in this research. To analyze the data obtained from research Amos software was used. Findings: The results obtained from factor analysis model showed that the most significant factor that causes addiction in women was individual factor with the factor loading of .92, the second was related to familial factor, the third effective factor was social factor and the last factor was economical factor with no significant effect. Conclusion: In this study it was shown that among women addiction tendency factors, individual, familial and social were the most effective one. Manuscript profile -
Open Access Article
330 - Study of Social and economic factors impact on the effectiveness of drug strategies in Isfahan
ابراهیم انصاری جواد یحیایی سولماز سیفیAddiction to fix that is most sensible and most important negative phenomenon that come from abusive and misuse of opium as substance ,is a subject that divert human to itself for many years.verily how is it’s treatment ? in this tract we paid to survey on social MoreAddiction to fix that is most sensible and most important negative phenomenon that come from abusive and misuse of opium as substance ,is a subject that divert human to itself for many years.verily how is it’s treatment ? in this tract we paid to survey on social and economic factors that effects on effeiciency pace in abandonment of addiction and also why addicts tends to addiction ,after that they leaves it, though they knows it’s harm.for accomplishing survey ,we used from a jounty questionnaire that is in two sections. One section for study on demographic information of answerers and other for person’s view in effective factors.statistic society in this survey were addicts that treated their addict for one or further years.(treated addicts in Isfahan city) For estimating sample content were used from Cochran formula that number of sample are 193 persons .among social and economic factors that effect on exercise ,NA prison for abandonment ,we paid to study on council and instruction, participate in classes, media, leisure, for accomplishing statistic experiments and analyzing between two groups of analyses ,is used from variance T.Test and statistic method of SPSS test and analyze from one way software ,Pierson coefficient, XI test. in descriptive statistic is paid to esstimate median indicators,variance,standard deviation and Results shows that there are a contrary relation between social classes of people and their view toward efficiency method for fracture.also,whatever people have further abandonment, their view is lower toward abandonment.revenue can not be an factor for abandonment efficiency and people who have lower revenue have a positive view toward abandonment.among effective factors on, abandonment ment factor with 72% has most meaningful relation and leisure with 18% has least meaningful relation. Manuscript profile -
Open Access Article
331 - Internet addiction prediction based on self-esteem, quality of life and defense mechanisms in Tehran high school boys
Azadeh Rezayatizadeh Sara Ziafar Fatemeh Khonsari Ahmad TorabiToday, the Internet has a special place in people's lives. Internet addiction in students is one of the new addictions in modern societies. The study was conducted to predict Internet addiction based on self-esteem, quality of life, and defense mechanisms in first-year MoreToday, the Internet has a special place in people's lives. Internet addiction in students is one of the new addictions in modern societies. The study was conducted to predict Internet addiction based on self-esteem, quality of life, and defense mechanisms in first-year high school boys. The research was descriptive and correlational. The statistical population included all male high school boys in Tehran. Using the available sampling method, 200 people were selected and assigned to the Internet Addiction Questionnaire (Young, 1996), Defensive Style Questionnaire (Anders et al., 1993), Quality of Life Questionnaire (World Health Organization Experts, 1996) and Self-Esteem Questionnaire (Coprasmith). , 1967) responded. The results showed that there was a negative and significant relationship between Internet addiction and self-esteem (r = -0.593 and p = 0.007) and quality of life (r = -0.714 and p = 0.012), respectively. Between Internet addiction and psychotic defense mechanisms (r = 0.678 and p = 0.005) and underdeveloped growth (r = 0.637 and p = 0.003), there is a positive but significant relationship between the defense mechanism of growth. Results (r = -0.819 and p = 0.017) Internet addiction has a negative and significant relationship. The results of regression analysis also showed that predictive variables were able to explain 0.41% of variance in Internet addiction scores together. As a result, according to the results of the study, it is suggested that planners, education officials and families, in addition to managing the use of the Internet in adolescents, also pay attention to quality of life and self-esteem structures and the development of defense mechanisms. . Manuscript profile -
Open Access Article
332 - الگوریتم رقابت استعماری (ICA) مبتنی بر روش بهینهسازی مخزن در سد کهیر
علی سردار شهرکی سمیه امایکمبود آب، به ویژه در ایران و در دوره خشکسالی­های اخیر، بر اهمیت دستیابی به یک سیاست عملیاتی بهینه برای مخازن بزرگ اهمیت پیدا کرده است. در دو دهه گذشته، بهینه­سازی سالانه مخازن در شرایط کنترل شده و همچنین شرایط آب و هوایی توجه بسیاری از محققان و کارشناسان را به خ Moreکمبود آب، به ویژه در ایران و در دوره خشکسالی­های اخیر، بر اهمیت دستیابی به یک سیاست عملیاتی بهینه برای مخازن بزرگ اهمیت پیدا کرده است. در دو دهه گذشته، بهینه­سازی سالانه مخازن در شرایط کنترل شده و همچنین شرایط آب و هوایی توجه بسیاری از محققان و کارشناسان را به خود جلب کرده است. در این مطالعه، رویکرد جدیدی برای پیش­بینی ذخیره مخزن ارائه شده است. الگوریتم رقابت استعماری (ICA) یک رویکرد جدید در زمینه محاسبات تکاملی است که راه حل بهینه را در مشکلات مختلف بهینه­سازی محاسبه می­کند. این الگوریتم با مدل­سازی ریاضی فرآیند تکامل اجتماعی روانشناختی، رویکرد جدیدی را برای حل مشکلات بهینه­سازی ریاضی ارائه می­دهد و در مقایسه با سایر الگوریتم­ها، سرعت مناسب و سرعت همگرایی بالایی را در یافتن پاسخ بهینه دارد. در این تحقیق از الگوریتم رقابتی امپریالیست برای بهینه­سازی سالانه مخزن کهیر برای به دست آوردن سیاست­های بهینه استفاده شده است. عملکرد هدف از جهت دستیابی به آب در پایین دست نیاز به ایجاد روابط براساس استمرار وجود دارد. عملکرد هدف از جهت دستیابی به آب در پایین دست نیاز به ایجاد روابط براساس استمرار دارد. مقایسه مدل ICA در جمع 100 نشان داد که الگوریتم ICA با میانگین بهترین ارزش تابع هدف 125، 6/114 و 60/85 با تعدادی از ارزیابی­های بیشتر تابع هدف برای دستیابی به ظرفیت بالاتر، پاسخ بهینه است. نتایج حاکی از خطای 1/6 درصدی در اجرای الگوریتم ICA بین انبارهای مشاهده شده و پیش بینی شده است. نتایج استفاده از الگوریتم رقابتی امپریالیست برای مسئله بهینه­سازی سالانه بیانگر توانایی روش پیشنهادی است. Manuscript profile -
Open Access Article
333 - پیشبینی صادرات زعفران ایران با مقایسه الگوریتم های یادگیری ماشین
علیرضا امیرتیموری منصور صوفی مهدی همایونفر مهدی فداییواردات و صادرات در همه کشورها نقش مهمی در رشد اقتصادی ایفا میکنند. بنابراین، انتخاب محصولات مناسب، باعث افزایش رقابتپذیری کشور در تجارت جهانی میشود. زعفران یکی از مهمترین و متمایزترین محصولات غیرنفتی ایران برای صادرات است. هدف این مطالعه، پیشبینی صادرات زعفران از ط Moreواردات و صادرات در همه کشورها نقش مهمی در رشد اقتصادی ایفا میکنند. بنابراین، انتخاب محصولات مناسب، باعث افزایش رقابتپذیری کشور در تجارت جهانی میشود. زعفران یکی از مهمترین و متمایزترین محصولات غیرنفتی ایران برای صادرات است. هدف این مطالعه، پیشبینی صادرات زعفران از طریق سه الگوریتم دادهکاوی و انتخاب الگوریتم مناسب در پیشبینی است. دوره نمونه مدلهای پیشبینی شامل دادههای صادرات زعفران ایران از سال ۲۰۱۲ تا ۲۰۱۹ است که از انجمن زعفران ایران جمعآوری شدهاند. پس از انجام مراحل آمادهسازی داده، پیشبینی صادرات زعفران با استفاده از سه الگوریتم دادهکاوی شامل شبکه عصبی مصنوعی، یادگیری عمیق و درخت تقویت گرادیانی انجام شد. برای انتخاب یک مدل پیشبینی بهتر، اعتبار مدل نقش مهمی ایفا میکند. صحت پیشبینی سه مدل طراحی شده به کمک خطای مطلق ( 036/0 = شبکهی عصبی مصنوعی، 031/0 = یادگیری عمیق شبکه، 047/0 = درخت تقویت گرادیانی)، معیار R2 (045/0 = شبکهی عصبی مصنوعی، 044/0 = یادگیری عمیق شبکه، 073/0 = درخت تقویت گرادیانی) و همبستگی (95/0 = شبکهی عصبی مصنوعی، 98/0 = یادگیری عمیق شبکه، 97/0 = درخت تقویت گرادیانی) اندازهگیری شدند. براساس یافتهها، تمامی این سه مدل طراحی شده دقیق هستند و خطای پیشبینی آنها بسیار کم و نزدیک به هم است. اما با تفاوت ناچیز، شبکه یادگیری عمیق کمترین خطا را دارد. نتایج میتوانند برای برنامهریزی دقیقتر صادرات زعفران مفید باشند. Manuscript profile -
Open Access Article
334 - مطالعه زبانشناختی زیست بومی درباره مدخل های گیاهان در فرهنگنامه «کتاب بزرگ سخن»
ابراهیم عزتی بهاره قلی نژاد پیربازاریپژوهش حاضر با نظر به اهمّیت حفظ زیستبوم، و با توجّه به تأثیر «زبان» و نقش آن درشکلدهی رفتارهای انسانی درتعامل با محیط پیرامون خود، باانتخاب فرهنگنامهها به عنوان یکی ازمنابع مهم مؤثّر بر شناخت و فرهنگ بشری، به تحلیل تعاریف ارائه شده در هشت جلد فرهنگنامه Moreپژوهش حاضر با نظر به اهمّیت حفظ زیستبوم، و با توجّه به تأثیر «زبان» و نقش آن درشکلدهی رفتارهای انسانی درتعامل با محیط پیرامون خود، باانتخاب فرهنگنامهها به عنوان یکی ازمنابع مهم مؤثّر بر شناخت و فرهنگ بشری، به تحلیل تعاریف ارائه شده در هشت جلد فرهنگنامه «کتاب بزرگ سخن» به کوشش حسن انوری پرداخته و با استخراج تمام مداخل مرتبط با حوزۀ مفهومی گیاهان از این مجموعه، تعاریف ارائه شده در ذیل این مداخل را براساس ملاکهای چندگانۀ کمّی و کیفی و در چهارچوب نقد زیستبومگرا مورد تحلیل قرارداده است. بامطالعه و بررسی تعداد 75000 مدخل این فرهنگنامه، تعداد 1312 مدخل مرتبط باحوزۀ مفهومی گیاهان استخراج شده، و تعاریف ارائه شده براساس طبقهبندی زیست گیاهی در سه دستۀ «درخت، درختچه، بوته» و «گیاه، علفی» به عنوان گیاهان آونددار ازسویی، و «خزه، جلبک، سرخس» به عنوان گیاهان غیرآونددار ازسوی دیگرطبقهبندی شدند. سپس هر مدخل براساس اجزاء مورد توجّه در ارائۀ تعریف درهفت طبقه 1-«چوب/ تنه/ ساقه/ پوست»، 2-«گل/ شکوفه»، 3-«میوه/ مغز»، 4-«هسته/ دانه/بذر/روغن»، 5-«صمغ/ شیره/ شهد»، 6-«شاخه/ برگ/ سبزی»و 7-«پودر/ گرد/ پرز/ کرک/ الیاف» تحلیل شده و درنهایت براساس ملاکهای زبانشناسی زیستبومگرا، هر یک تعاریف براساس ملاکهای انسانگرایانهای مانندکاربرد «دارویی/ درمانی»، «خوراکی/ ادویه»، «تجاری/علوفه دام/ صنعتی»، «زینتی/معطر»، «مخدّر/سمّی/علف هرز»، «پرورشی یا خودرو/وحشی/جنگلی» و «بسط ویژگیهای انسانی» تحلیل گردیدند. نتایج حاصل از تحلیل کمّی و کیفی مداخل مرتبط با حوزۀ مفهومی گیاهان در این پژوهش، نشاندهندۀ آن است که از مجموع مداخل مورد بررسی، بیش از 82 درصد نمونهها، بر اساس نگاه انسانمدارانه، مفهومسازی گشتهاند. Manuscript profile -
Open Access Article
335 - Temporal and Spatial Prediction of Rainfall-Induced Landslides using the Specialized TRIGPS Model
Sahebeh Sadeghi Golam Reza Shoaei Mohammad Reza Nikudel -
Open Access Article
336 - A New Multi-Stage Feature Selection and Classification Approach: Bank Customer Credit Risk Scoring
Farshid Abdi -
Open Access Article
337 - Customer Behavior Mining Framework (CBMF) using clustering and classification techniques
Farshid Abdi Shaghayegh Abolmakarem -
Open Access Article
338 - A neuro-fuzzy approach to vehicular traffic flow prediction for a metropolis in a developing country
L Ogunwolu O Adedokun O Orimoloye S.A Oke -
Open Access Article
339 - The challenges of Applying Global Jurisdiction in Dealing with Cyber Terrorism
Hasan MovassaghiUndoubtedly, one of the crimes that threatens the peace and internal security of countries and the international community in a mysterious and widespread way is the crime of terrorism, which has caused deep concern for almost all the nations and states of the world, and MoreUndoubtedly, one of the crimes that threatens the peace and internal security of countries and the international community in a mysterious and widespread way is the crime of terrorism, which has caused deep concern for almost all the nations and states of the world, and dealing with it as a Erga Omnes obligation Inclusion is demanded from all countries and because some Countries do not have the experience of threats and terrorist attacks, they have no desire and inclination to cooperate with the international community to eliminate the crime of terrorism And this seemingly simple issue has caused the continuation of terrorist attacks in the world. In this research, we will deal with the obstacles of applying the principle of universal jurisdiction in the fight against terrorism and we will provide guidelines for its acceptance and application. The research method in this article is descriptive and comparative, and the findings of the research show that the governments act completely monopolistically in the field of jurisdiction of the domestic courts, and it does not go too far to exercise global jurisdiction. Manuscript profile -
Open Access Article
340 - Legal bases of doubt in the jurisdiction of the judge with a look at Imami jurisprudence
Yahya Jafari Ahmad Reza Khazae Jamshid MasoomiFacing doubts about the judge's competence after his appointment to the judiciary is an issue that can be described as a constant challenge for the judiciary in overseeing the performance of judges; Although some changes in the economic, political and social situation o MoreFacing doubts about the judge's competence after his appointment to the judiciary is an issue that can be described as a constant challenge for the judiciary in overseeing the performance of judges; Although some changes in the economic, political and social situation of the society can cause some fluctuations in the mood and as a result the character of a judge, but the seriousness of the judgment and also the worldly and otherworldly consequences of the judge's improper performance, the sensitivity of this important Has doubled. This study seeks to analyze the legal doubt in the jurisdiction of the judge with a documentary look at Imami jurisprudence and examine the challenges ahead to illuminate a faint light in this area, which despite its great importance in poor writings and documents. Manuscript profile -
Open Access Article
341 - Forecasting the price of electricity in the cash and advance markets and designing the optimal model for selling electricity in the mentioned markets with the Copola function approach.
Arash Jalebi mahmood khodam hossein mohammadnezhadThe purpose of this article was to predict the price of electricity in the cash and cash markets and to design the optimal model of electricity sales in the aforementioned markets with the Copula function approach. For this purpose, daily information was used in the per MoreThe purpose of this article was to predict the price of electricity in the cash and cash markets and to design the optimal model of electricity sales in the aforementioned markets with the Copula function approach. For this purpose, daily information was used in the period of 1396-1401. In order to forecast, time series models and OLS, GARCH and Copula approaches were used. The results showed that trigonometric functions can well explain the behavior of electricity prices, which is caused by the seasonal behavior of electricity prices during one-year periods. In the random part, the estimated values show that the random component has an average of almost zero and the speed of returning to the average in prices is high. The average of the shocks, their negativity and variance are very small. The small average values of the shocks actually show that the shocks that occurred in the price of the electricity market in Iran are very insignificant and more importantly, these shocks were more of the negative type. Regarding the optimal strategy when entering into futures transactions, our advice to players is to use the Copula-Garch method to calculate the optimal ratios for risk hedging, for two reasons. The need for risk hedging is less and as a result the transaction cost is lower, secondly, due to the existing restrictions and especially the low liquidity in energy exchange transactions, it is practically possible to cover more risk than the cash position Manuscript profile -
Open Access Article
342 - Presenting a model for predicting the price of digital currency in conditions of environmental uncertainty with a fuzzy artificial neural network
mohammad hasan darvish motevali shirin aminiAbstarctIn this research, using the method of fuzzy neural networks, the price of Bitcoin is predicted. In order to identify the appropriate criteria in this research in order to predict the price of Bitcoin, we have used previous studies and researches in this field in MoreAbstarctIn this research, using the method of fuzzy neural networks, the price of Bitcoin is predicted. In order to identify the appropriate criteria in this research in order to predict the price of Bitcoin, we have used previous studies and researches in this field in the first stage. In the following, using interviews with experts and experts in this field, the available information about Bitcoin became the final factors. Research information was collected using related sites and identified criteria. In this way, we first normalized the collected data. In the next step, by entering the normalized information into the MATLAB software and using the designed toolbox and using the fuzzy neural network method, Bitcoin price was predicted. In this way, 60% of the input data, which includes 1330 data, was considered as training data and 40% of the data, which is 887 data, was considered as testing. The research results show high accuracy prediction using the proposed method. As the error was considered in two cases, a small value was calculated for the error of the method. Keywords: prediction, bitcoin price, fuzzy neural network. Manuscript profile -
Open Access Article
343 - Prediction of aquifer reaction to different hydrological and management scenarios using visual MODFLOW model-Case study of Qazvin plain
N Faghihi F Kave H Babazadeh -
Open Access Article
344 - To Study the Effect of Characteristics of Corporate Governance on the Quality of Financial Reporting (Evidence from Tehran Stock Exchange)
Roya Darabi Mahnaz PiriThis research studies the effect of Corporate Governance on quality of financial reports of admitted companies in Tehran Stock Exchange in a 7-year period from 2006 to 2012. It is expected that establishment of appropriate Corporate Governance would prevent decrease in MoreThis research studies the effect of Corporate Governance on quality of financial reports of admitted companies in Tehran Stock Exchange in a 7-year period from 2006 to 2012. It is expected that establishment of appropriate Corporate Governance would prevent decrease in quality of financial reports along with making financial reporting process more controllable. In the present research we have used preciseness of prediction of future operational cash currents via operational profit elements as a measurement index from evaluation of financial reporting quality and also relation of off-duty members of board of directors, organizational investors owned share, power concentration, board of directors size, ownership structure, type of ownership, free floating share percentage, auditing quality, internal auditing, financial reporting quality and auditing period were used as Corporate Governance. A total number of 100 companies were selected as sample companies and using comparison test of average of the two societies we would analyze the results. The results achieved from the research indicated that ability index of Corporate Governance which consists of all structural specifications studied in this research is not effective on the quality of financial reporting of the companies admitted in Tehran Stock Exchange. Also in studying the effect of Corporate Governance individually it was observed that only quality of auditing reporting would affect the quality of financial reporting of the companies. Manuscript profile -
Open Access Article
345 - Contradictions in Writing Anxiety: A Qualitative Case Study of Expansive Learning among Iranian EFL Learners
Mohsen Nazari Maryam Farnia Behzad ghonsooly Manoochehr Jafarigohar -
Open Access Article
346 - تناقضات در اضطراب نوشتاری: مطالعه موردی کیفی یادگیری گسترده در زبان آموزان ایرانی زبان انگلیسی
Mohsen Nazari Maryam Farnia Behzad Ghonsooly Manoochehr Jafarigohar -
Open Access Article
347 - بررسی استفاده از فرهنگ لغت دوزبانه در ترجمه لغات با تعدد معنی از دیدگاه مترجمان ایرانی
Valeh Jalali Neda Fatehi Radهدف از انجام این تحقیق، تاثیر استفاده از فرهنگ لغت دوزبانه در ترجمه کلمات با تعدد معنی بوده است. علاوه بر آن، دیدگاه مترجمان در استفاده از فرهنگ لغت دو زبانه در ترجمه لغات با تعدد معنی نشان داده شده است. برای انجام این پروژه، 30 دانشجوی ارشد مترجمی مرد و زن انتخاب شدند. Moreهدف از انجام این تحقیق، تاثیر استفاده از فرهنگ لغت دوزبانه در ترجمه کلمات با تعدد معنی بوده است. علاوه بر آن، دیدگاه مترجمان در استفاده از فرهنگ لغت دو زبانه در ترجمه لغات با تعدد معنی نشان داده شده است. برای انجام این پروژه، 30 دانشجوی ارشد مترجمی مرد و زن انتخاب شدند. پرسشنامه و آزمون ترجمه، دو ابزار مورد استفاده در این مطالعه بودند.ابتدا دانشجویان در آزمون از دیکشنری تک زبانه استفاده کردند و نمرات آنها ثبت شد. سپس آنها مجددا در این آزمون با استفاده از دیکشنری دو زبانه شرکت کردند و نمرات دقیق آنها توسط محقق ثبت شد. بعد از پایان آزمون، به پرسشنامه ها توسط دانشجویان پاسخ داده شد و در انتها تمامی داده ها جمع آوری، و با استفاده از نرم افزار محاسبه شدند. نتایج این تحقیق نشان داد که استفاده از دیکشنری دوزبانه در ترجمه لغات با تعدد معنی، تاثیر مثبتی روی عملکرد دانشجویان در ترجمه داشته است و همچنین آنها دیدگاه کاملا مثبتی پیرامون استفاده از فرهنگ لغت دوزبانه در ترجمه داشته اند. Manuscript profile -
Open Access Article
348 - The Influence of the Poets of the 3rd and 4th Centuries A.H. on Hāfiz
هاشم محمدی Although Hafiz (1326-1390), considered as one of the greatest Persian lyric poets, was influenced by his predecessors, he developed his own style and created brilliant new themes. The present article aims to show the influences the poets of the 3rd and 4th cent More Although Hafiz (1326-1390), considered as one of the greatest Persian lyric poets, was influenced by his predecessors, he developed his own style and created brilliant new themes. The present article aims to show the influences the poets of the 3rd and 4th centuries A.H. had on Hāfiz with respect to concepts, themes, poetic diction, rhyming rhythm, rime, and rhetorical figures. Manuscript profile -
Open Access Article
349 - The Effect of Methadone Maintenance Treatment (MMT) on the Mental Health of Opium and Heroin Addicts
Zahra Arefnasab Changiz Rahimi Nourolah Mohammadi A. Reza Baba MahmoudiThis study examined the effects of Methadone Maintenance Treatment (MMT) on the mental health of opium and heroin addicts. Participants included 60 Iranian heroin and opium addicts (equal sample size from each group) whose age ranged from 18 to 45 years. In the pretest MoreThis study examined the effects of Methadone Maintenance Treatment (MMT) on the mental health of opium and heroin addicts. Participants included 60 Iranian heroin and opium addicts (equal sample size from each group) whose age ranged from 18 to 45 years. In the pretest stage, the participants’ mental health was assessed using the General Health Questionnaire (GHQ; Goldberg, 1972). Then, for six months, participants received MMT and their mental health was assessed once a month using GHQ. The results of repeated measures and t-test showed an improvement in the mental health of participants. This improvement began from the first month of treatment and continued over the six month period of treatment. Manuscript profile -
Open Access Article
350 - The Relationship Between Behavioral Brain Systems and Internet Addiction: The Mediating Role of Social Anxiety
Soodabe Jafarinasab Maryam KadkhodaeeThis study has been conducted to determine the mediating role of social anxiety in the relationship between behavioral brain systems and Internet addiction. For this purpose, in descriptive research, 346 students (129 males and 217 females) were selected by convenience MoreThis study has been conducted to determine the mediating role of social anxiety in the relationship between behavioral brain systems and Internet addiction. For this purpose, in descriptive research, 346 students (129 males and 217 females) were selected by convenience sampling of students of the non-profit Shahid Ashrafi University of Isfahan. The participants were requested to fill out Gary-Wilson (1989) Personality Questionnaire, Social Anxiety Inventory (Connor et al., 2000), and Internet Addic- tion Test (Young, 1998). Data were analyzed using path analysis. The findings showed that the direct and indirect effect of behavioral activation system on internet addiction is negative and the direct and indirect effect of behavioral inhibition and fight-flight systems on internet addiction is positive. Likewise, the direct effect of behavioral activation system on social anxiety is negative and the direct effect of behavioral inhibition and fight-flight systems on social anxiety is positive. Also, the direct effect of social anxiety on internet addiction is also positive. In addition, the amount of explained variance (R2) is 0.48, which means that behavioral brain systems and social anxiety have the ability to explain 48% of the variance of Internet addiction. Therefore, in order to prevent Internet addiction, in addition to paying attention to behavioral brain systems, it is necessary to provide the necessary grounds to reduce social anxiety. Manuscript profile -
Open Access Article
351 - Predicting the Smartphone Addiction Based on Depression, Fear of Missing Out, and Identity Diffusion
Sadeq Fallah Shahram Alizade Nikzad Ghanbari Fatemeh Zamani The present study aimed to investigate the role of depression, identity diffusion, and fear of missing out in predicting smartphone addiction among adolescents in Tehran. The research was a cross-sectional correlational study. 382 high school students in Tehr More The present study aimed to investigate the role of depression, identity diffusion, and fear of missing out in predicting smartphone addiction among adolescents in Tehran. The research was a cross-sectional correlational study. 382 high school students in Tehran were selected using convenient sampling method and completed the short form of Smartphone Addiction Scale (Kwon, Kim, Cho & Yang, 2013), Fear of Missing Out Scale (Abel, Buff & Burr, 2016), Kutcher Adolescent Depression Scale (LeBlanc, Almudevar, Brooks &Kutcher, 2002) and Erikson Psychosocial stage Inventory (Rosenthal, Gurney & moore, 1981). The data were analyzed using Pearson correlation and stepwise multiple regression. The findings showed that all three predictor variables including depression, fear of missing out, and identity diffusion could significantly predict smartphone addiction among adolescents and account for 24 percent of the variance in smartphone addiction among adolescents. Based on these findings preventive programs can be designed not only to reduce depression, fear of missing out, and identity diffusion but also to reduce smartphone addiction among adolescents. Manuscript profile -
Open Access Article
352 - Internet addiction social intimacy and happiness in college students
Samaneh Rastgar Mohammad Hossein Abdollahi Mahnaz ShahgholianThe aim of this study was to investigate the relations between internet addiction and social intimacy and happiness in college students. Two hundred college students were selected by cluster sampling method from Kharazmi University in academic year of2012.The particip MoreThe aim of this study was to investigate the relations between internet addiction and social intimacy and happiness in college students. Two hundred college students were selected by cluster sampling method from Kharazmi University in academic year of2012.The participants completed the Internet Addiction Test (Young, 1998), the Oxford Happiness Questionnaire (Argyle et al., 1989) and the Miller Social Intimacy Scale (Miller & Lefcourt, 1982).The results indicated that there were no significant difference in happiness and social intimacy between normal users and users with mild addiction to the Internet. The happiness and social intimacy of normal users and users with mild addiction to the Internet were higher than the severe addiction users. The regression analysis indicated that internet addiction predicted 7% and 10% of the variance in happiness in healthy group of internet users and mild addiction ones, respectively. The findings suggest that although using internet with the aim of satisfying one's psychological and emotional needs can induce internet addiction, informing internet users of using internet appropriately may be helpful in preventive intervention. Manuscript profile -
Open Access Article
353 - The Modeling of Internet Addiction Based on Identity Styles: The Mediating Role of Alexithymia
Hossein Ali Ghanadzadegan Mahdiye Salehi Roya Kochakentezar Mozhgan sepahmansorThe study aimed to investigate the internet addiction model based on identity styles and mediating role of alexithymia in students. This research was a correlational research based on the structural equation modeling method. The statistical population of this study was MoreThe study aimed to investigate the internet addiction model based on identity styles and mediating role of alexithymia in students. This research was a correlational research based on the structural equation modeling method. The statistical population of this study was all of secondary high school students in Sari. In this study, 361 people were selected by multistage sampling and responded to the Identity Style Scale (Berzonsky,1992), Toronto Alexithymia Scale (Bagby, Taylor & Parker, 1994), and Internet Addiction Scale (Young,1998). The findings showed good model fit and 41% of Internet addiction variance were explained by identity styles and alexithymia. The results of this study highlights the importance of the role of identity as well as the mediating role of alexithymia on students' extreme internet tendencies and has implications for improving mental health. Manuscript profile -
Open Access Article
354 - The relationships of atachment styles,coping strategies, and mental health to internet addiction
Jafar Bahadori Khosroshahi Toraj Hashemi Nosrat AbadIn order to investigate the role of attachment styles, coping strategies, and mental health in internet addiction, 400 students (200 females, 200 males) were selected by cluster sampling method. The participants completed the Adult Attachment Questionnaire (Beshart, 200 MoreIn order to investigate the role of attachment styles, coping strategies, and mental health in internet addiction, 400 students (200 females, 200 males) were selected by cluster sampling method. The participants completed the Adult Attachment Questionnaire (Beshart, 2005), the Coping Strategies Questionnaire (Endler and Parker, 1990), the General Health Questionnaire (Goldberg, 1972), and the Internet Addiction Test (Young,1998). Findings indicated that 1) internet addiction had a negative relationship with problem solving coping strategy and positive relationships with emotional and avoidant coping strategies, 2) internet addiction correlated negatively with secure attachment styles, and positively with ambivalent and avoidant insecure attachment styles, 3) there was a significant positive relationship between internet addiction and low mental health, and 4) the attachment styles, coping strategies and mental health predicted internet addiction. Manuscript profile -
Open Access Article
355 - THE expression of psychiatric symptoms among woman with addicted husbands
Parvaneh Mohammadkhani Ali Asgari Setareh Ameneh Forouzan Fereshteh Momeni Baharak DelavarDrug addiction in husbands can lead to psychological problems among their wives. The present research compared psychiatric symptoms in wives of addicted men with the wives of non-addicts. One hundred eighty six females whose husbands had addiction problems and were visi MoreDrug addiction in husbands can lead to psychological problems among their wives. The present research compared psychiatric symptoms in wives of addicted men with the wives of non-addicts. One hundred eighty six females whose husbands had addiction problems and were visiting a professional help center in Tehran, and 173 of their female relatives whose husbands did not have addiction problems completed the Brief Symptoms Inventory (Derogatis & Clearly, 1977). Results of profile analysis demonstrated that the women with addicted husbands had significantly higher scores in all psychiatric symptoms. Results were discussed based on marital difficulties and misbehaviors of addicted husbands. Manuscript profile -
Open Access Article
356 - The relationship between emotional intelligence,defence mechanisms and addiction
Saeed Akbari Zardkhaneh Reza Rostam Mostafa ZareanThe Emotional Intelligence Scale (Beshart, 2007), Defense Style Questionnaire (Andrews, Singh, & Bond, 1993), and Addiction Acknowledgment Scale (Weed et al, 1992) were administered to a random selection of 296 Tehran university students. Findings demonstrated a neg MoreThe Emotional Intelligence Scale (Beshart, 2007), Defense Style Questionnaire (Andrews, Singh, & Bond, 1993), and Addiction Acknowledgment Scale (Weed et al, 1992) were administered to a random selection of 296 Tehran university students. Findings demonstrated a negative relationship between total emotional intelligence scores, emotional perception subscale, and addiction acknowledgement. Controlling for emotional intelligence and its component effects, a significant relationship between mature and immature defense mechanisms and addiction acknowledgment was negative and positive respectively. Controlling for defense mechanisms, there were negative relationships between emotional intelligence, its emotional perception component, and addiction acknowledgment. It can be concluded that, emotional intelligence construct can be a strong mediator of the relationship between emotional characteristies and addition acknowledgment. Manuscript profile -
Open Access Article
357 - Emotional intelligence and problem solving styles in drug addicts
Shina Zinali Mahnaz KhosrojavidForty male substance abusers aged 18-28 years old, reffered to a well-being center in the city of Rasht in Iran, responded to the Bar-On Emotional Quotient Inventory-short form (1997) and the Problem-Solving Style Questionnaire (Cassidy and Long, 1996). Pearson correlat MoreForty male substance abusers aged 18-28 years old, reffered to a well-being center in the city of Rasht in Iran, responded to the Bar-On Emotional Quotient Inventory-short form (1997) and the Problem-Solving Style Questionnaire (Cassidy and Long, 1996). Pearson correlation results indicated that emotional intelligence was correlated positively with helplessness, problem-solving control, avoidant and approach styles and negatively with creative problem-solving and problem-solving confidence styles. Findings are disscused in terms of the specific characteristics of the sample group. Manuscript profile -
Open Access Article
358 - Reactive Power Management in Micro Grid with Considering Power Generation Uncertainty and State Estimation
Mohammad Reza Forozan Nasab Javad Olamaei -
Open Access Article
359 - Development of a Novel Method for Predicting Root Canals Working Length by Analyzing Dental Radiographs
Ahmad Moghadam Mohammad Adeli -
Open Access Article
360 - Evolutionary Interval Type-2 Fuzzy Rule Learning Approaches for Uncertain Time-Series Prediction
Aref Safari Rahil Hosseini -
Open Access Article
361 - Diagnostic Study for Neurodegenerative Disorders Based on Handwriting Analysis
Leila Soleimanidoust Abdalhossein Rezai Hamideh Barghamadi Iman AhanianOne of the most frequently acknowledged personal behavioral traits in the biometric system is the handwritten exam. Numerous fields, including e-health, psychological issues, medical diag-nosis, and many more, can benefit from handwriting analysis. In this study, a hand MoreOne of the most frequently acknowledged personal behavioral traits in the biometric system is the handwritten exam. Numerous fields, including e-health, psychological issues, medical diag-nosis, and many more, can benefit from handwriting analysis. In this study, a handwriting-based computer diagnostic method for identifying neurodegenerative disorders is established. The sug-gested computer diagnosis system uses the SFTA feature extraction approach, and the findings are classified using SVM, kNN, and D-Tree algorithms. MATLAB R2021b and the handwritten tests gathered at Botucatu Medical School, So Paulo State University—Brazil—are used to assess the performance of the suggested computer diagnosis method. The best results were related into two models of classifier, Optimizable model of SVM and kNN. The accuracy, sensitivity and specificity are 89.2%, 88.3% and 90.0% for SVM and 89.2%,90.0% and 88.3% for kNN over Meander handwritten exam. These results indicate that the use of SFTA feature extraction method, SVM classification algorithm and handwritten database in the proposed computer diagnosis system give acceptable results. Manuscript profile -
Open Access Article
362 - The Necessity to expand the jurisdiction of the International Criminal Court over drug offenses: Examining the 1988 Convention and its effects on Iran's security policies
Askar JalalianField and Aims: The first international document establishing obligations and obligations for signatory states to criminalize the laundering of illicit proceeds under domestic law is the United Nations Convention against Narcotic Drugs, adopted on December 19, 1988, kno MoreField and Aims: The first international document establishing obligations and obligations for signatory states to criminalize the laundering of illicit proceeds under domestic law is the United Nations Convention against Narcotic Drugs, adopted on December 19, 1988, known as the Vienna Convention. The purpose of this study is to investigate the possibility of developing the jurisdiction of the International Criminal Court based on the said convention. This development will affect the policies of countries involved in drugs. The main question of the research is considering the articles and provisions of the Vienna Convention against Narcotics and Psychedelics 1988, how is it possible to develop the jurisdiction of the International Criminal Court to investigate drug crimes? And what impact the development of the competence in question will have on Iran's counter-narcotics policies. Method: This is a qualitative and applied research in terms of purpose and in terms of collecting information by documentary method and studying international documents, sources related to the subject and the obtained information has been analyzed descriptively-analytically. Findings and conclusion: The findings show that the 1988 Convention on Territorial and Flag Jurisdiction addresses the issue of dealing with narcotics crimes and that it is possible to extend the jurisdiction of the International Criminal Court to narcotics crimes. If the development is identified, Iran's security plans to combat drug trafficking will change. Manuscript profile -
Open Access Article
363 - Criminal protection of fixed oil platforms located in the continental shelf area
amir shakery محمدرضا sh hasan poorbafraniField and Aims: The location of fixed oil facilities located in the continental shelf area outside the territorial jurisdiction of the coastal state creates limitations in the field of criminal protection for them. In this article, by using international documents and r MoreField and Aims: The location of fixed oil facilities located in the continental shelf area outside the territorial jurisdiction of the coastal state creates limitations in the field of criminal protection for them. In this article, by using international documents and rules related to the cross-border implementation of criminal laws, the capacities of domestic laws in the field of criminal protection of these facilities have been examined. Based on this, we are going to investigate what criminal protection has been done in the regulations of the fixed oil platforms located in the continental shelf area?Method: The present research was carried out using a descriptive-analytical method.Finding and Conclusion: Although the international custom has established the necessary mechanisms to apply criminal jurisdiction over these facilities in the form of the so-called Protocol to Combat Illegal Acts against the Safety of Fixed Oil Platforms in the Continental Shelf Region, an addendum to the Convention against Illegal Acts against Maritime Safety approved by Rome in 1988, but despite our country's accession to this protocol and its emphasis on criminal countermeasures against the act contained in the protocol by the member countries, no action has been taken regarding the criminalization of these acts in our criminal law and the possibility of using Its capacity in criminal protection has been taken away from this facility. Also, due to the lack of provision for these facilities in the cases of the actual jurisdiction of applying the Islamic Penal Code and the absence of any other specific law in this field, currently our criminal law in the field of protecting these facilities is facing a legal gap and only by resorting to legal generality. You can support them. Manuscript profile -
Open Access Article
364 - Multiplicity of courts and jurisdictions in international trade law and solutions to deal with it
Mir Shahbiz Shafi mahdi delgirField and Aims: Proliferation of international tribunals and jurisdictions is a rather new phenomenon that has emerged in international public law, generally and in international trade law, specifically. However, this phenomenon signals preparation on the part of states MoreField and Aims: Proliferation of international tribunals and jurisdictions is a rather new phenomenon that has emerged in international public law, generally and in international trade law, specifically. However, this phenomenon signals preparation on the part of states to use courts and tribunals for settling their disputes peacefully, it may raise problems when courts arrive at divergent or event conflicting rulings in an international legal order that lacks hierarchy. This article aims to address whether proliferation of tribunals and jurisdictions has emerged in international trade law; and if so, what is its consequences for international trade law and which possible solutions may be suggested to deal with its negative consequences.Method: This Research is prepared by a descriptive-analytical method.Finding and Conclusion: Given to reasons for proliferation of tribunals and jurisdictions that are addressed in this article, the answer to the question of emergence of proliferation in international trade law is positive. Thus, the consequences of proliferation in international trade law are presented. Then, in regard with exclusive jurisdiction of World Trade Organization (WTO) for international trade disputes and its exceptions by Free Trade Agreements (FTAs), practical instances of conflicting jurisdictions in international trade law jurisprudence are recognized. Finally, possible tools for solving conflicting jurisdictions between WTO and FTAs disputes settlement mechanisms, and also possible solutions for improvement of cooperative interactions between these mechanisms are suggested. Manuscript profile -
Open Access Article
365 - The supremacy of the jurisdiction of the International Criminal Court over the jurisdiction of the International Court of Justice in dealing with cyber aggression
Ali reza Mohaghegh harcheghan mohammad Ardebili Ebrahim Beigzadeh Mohammad Ali Mahdavi SabetField and Aims: On July 17, 2018, two decades after the adoption of the Rome Statute of the International Criminal Court activated its jurisdiction over the crime of aggression. This crime was defined in 2010 by the Assembly of States Parties to the Rome Statute (ASP) a MoreField and Aims: On July 17, 2018, two decades after the adoption of the Rome Statute of the International Criminal Court activated its jurisdiction over the crime of aggression. This crime was defined in 2010 by the Assembly of States Parties to the Rome Statute (ASP) as a material element of state conduct. "crime of aggression" in a position to effectively control or direct the political or military actions of a State and is in flagrant violation of the Charter of Nations It is considered united. The purpose of this research is to examine the jurisdiction of the International Criminal Court and the International Court of Justice in dealing with the crime of aggression, with an emphasis on cyber aggression.Method: This research was analyzed in descriptive-analytical . Findings and Conclusion: Cyber aggression means aggression that has been committed by computer-centered networks. In order to attribute cyber attacks to the government, it is necessary to consider the criterion of effective control. What is meant by effective control is that the government in question has exercised authority to form cyber aggression. The International Criminal Court has two jurisdictional regimes regarding the crime of cyber aggression. The first case is initiated by government referrals or due investigations by the prosecutor, and the second case is initiated by the Security Council referrals. another result of the research shows that the jurisdiction of the International Criminal Court in dealing with cyber aggression is superior to the jurisdiction of the International Court of Justice. Manuscript profile -
Open Access Article
366 - Presence and being in the world in Mulla Sadra and Heidegger’s philosophy
Fatemeh ghowanloo Hamed Naji IsfahaniHuman’s knowledge by presence to himself is the foundation of his presence in his sight and direct intuition of the being. Mulla Sadra has rescued human being from the insurmountable gap of contradiction between subject and object relying on the self as a being wh MoreHuman’s knowledge by presence to himself is the foundation of his presence in his sight and direct intuition of the being. Mulla Sadra has rescued human being from the insurmountable gap of contradiction between subject and object relying on the self as a being which identifies the being and knowledge. The mankind by his presence finds his existence connected to the external world. Finding the self in the midst of creatures and having a specific relation with the world means being in the world. Heidegger also raises the issue of presence and being in the world regarding human’s specific relation with the world and his ability to interpret and evaluate the existence and being beyond-existence. Therefore, it can be said that human’s presence in itself is the basis of his being in the world. By this consideration, there are many similarities between Sadra and Heidegger’s doctrine. Manuscript profile -
Open Access Article
367 - The legitimacy of the Nine-Dash line of the 2009 China Declaration in the South China Sea
seyed fakhrodin mokhtari mohammad ali solhchi mansour pournouriAbstract:China issued a map to the UN Secretary-General announced the drawing of a Nine Dash Line in the South China Sea, In 2009. This Nine-Dash Line cover's all the main islands of the South China Sea. Also, the method of delimitation with this Nine-Dash Line is such MoreAbstract:China issued a map to the UN Secretary-General announced the drawing of a Nine Dash Line in the South China Sea, In 2009. This Nine-Dash Line cover's all the main islands of the South China Sea. Also, the method of delimitation with this Nine-Dash Line is such that it interferes with the Exclusive Economic Zones and the Continental Shelf of other neighbors. This way of drawing lines was not reformed even with China's accession to the Convention on the Law of the Sea (1982). The Philippines as the most affected and protesting country, Claims incompatibility of China's Nine-Dash Line with the United Nations Convention on the Law of the Sea (1982) and considered all Chinese actions contrary to its obligations under this convention. According to this Convention and aimed at resolving disputes, The Philippines submitted its bill and petition to the Arbitral Tribunal pursuant to Annex 7 of the Convention. The summary conclusion of this study is that although the delimitation of borders, including maritime borders, is unilaterally practical in principle, a country cannot introduce itself as a coastal country outside the scope of international law and in areas that overlap with other coastal countries, to draw border lines unilaterally, and it is assumed that the Nine-Dash line drawn by China has no legitimate justification. The method of this research is descriptive-analytical and relying on library resources. Manuscript profile -
Open Access Article
368 - Default of appearance before an International Arbitration Tribunal with emphasizing on c China and the Philippines Case
seyed fakhrodin mokhtari mohammad ali solhchi mansour pournouriObservance of the adversarial principle is associated with that the trial is not conducted in the absence of one parties. On the other hand, observing the interests of the party that has referred to the competent tribunal requires continued consideration and issuance fi MoreObservance of the adversarial principle is associated with that the trial is not conducted in the absence of one parties. On the other hand, observing the interests of the party that has referred to the competent tribunal requires continued consideration and issuance final decision. If a country can deprive the jurisdiction from the competent tribunal by not appearing, this will severely undermine the credibility of peaceful dispute resolution. China issued a plan to the UN Secretary-General in 2009 and announced the drawing of a Nine-Dash Line in the South China Sea. The Philippines as the most protesting country, alleges an international dispute over the incompatibility of China's Nine-Dash Line with the United Nations Convention on the Law of the Sea (1982) and on January 22, 2013, citing the provisions of the Convention, it referred its case against China to an arbitration tribunal under Section 7, Chapter 15 of the Convention. China declined to participate in all proceedings because it considered the arbitration tribunal incompetent to hear the dispute. This article intends to examine the validity of the dispute resolution process in the event of default to appear before the competent tribunal. The concise conclusion of this article is that the country absent from the proceedings is still considered as a party to the dispute and mere absence will not cause the deterioration of this position or the loss of competence of the competent tribunal but special tasks are established for the competent tribunal, which are examined in this article. Manuscript profile -
Open Access Article
369 - File readout of Iran – England Oil Company in International Court of Justice
Davood aghaeeFollowing nationalization of Iran oil industry on 20 March1951 as well as dispossession from Iran-England oil company, English government believing that the act of nationalization of Iran oil industry based on stipulations and provisions of the contract between Iran and MoreFollowing nationalization of Iran oil industry on 20 March1951 as well as dispossession from Iran-England oil company, English government believing that the act of nationalization of Iran oil industry based on stipulations and provisions of the contract between Iran and England means unilateral redemption of the contract, supporting its nationals through diplomatic actions against Iranian government and based on the notice mandatory acceptance of jurisdiction of the court of justice registered a petition in secretariat of court of justice. Iran, acting such like, in a document entitled preliminary consideration, objected the jurisdiction of court of justice hearing the case. Iran said one of the reasons of court of justice jurisdiction hearing the claim is its interpretation out of article 2 paragraph 7 of UN charter concerning prevention from interference which is an inherent jurisdiction of governments as well as other reasons practiced in context to how ever and in spite of providing various reasons by English government to prove the jurisdiction of court of justice to consider the case, court of justice, finally, rejected its jurisdiction in a superficial decision and removed from the agenda the case. However, this paper studies and researches, from a legal view, process performed from the onset to decision and parties reasoning and implications of international court of justice judges that are emphatic for proving rightness of Iranian government and people nationalizing oil industry Manuscript profile -
Open Access Article
370 - International Studies in Perspective of Positivism and Post- Positivism Traditions in International Relations
Hassan EyvazzadehAbstract: The study of international relations fall into two epistemological traditions: Positivism and post-positivism. The main question is what is the purpose of research and study of international relations? This article argue that the Purpose affected by research MoreAbstract: The study of international relations fall into two epistemological traditions: Positivism and post-positivism. The main question is what is the purpose of research and study of international relations? This article argue that the Purpose affected by researcher epistemological Position. In the study of international relations if researcher stay put in framework of positivism epistemology, thus, your purpose of the study will be containment and prediction of international relations phenomena. But, if she/ he stay put in the post positivism epistemology the Purpose will be understanding and emancipation of phenomena. The logic of this article is dialectic logic. Manuscript profile -
Open Access Article
371 - Investigating the relationship between homelessness and internet addiction in female students
Vahid Khoshravesh Gilan DehghaniThe purpose of this research was to investigate the relationship between the feeling of homelessness and internet addiction in female students of Islamic Azad University of Tonkabon branch. The method of this research is correlational and according to the method of data MoreThe purpose of this research was to investigate the relationship between the feeling of homelessness and internet addiction in female students of Islamic Azad University of Tonkabon branch. The method of this research is correlational and according to the method of data collection, it is part of descriptive (non-experimental) research. The statistical population of this research included all female students of Islamic Azad University, Tunkabon branch, in 2015. The sample of this research consisted of 200 female students of Islamic Azad University, Tonkabon branch, who were selected by random stratified sampling from different faculties. Questionnaires of homelessness and internet addiction were used to collect information. Findings using Pearson's correlation coefficient showed that there is a positive and significant correlation between the feeling of homelessness (p < 0.01; r = 0.44) and its dimensions with Internet addiction. Also, there is a negative and significant correlation between quality of life (p < 0.01; r = -0.38) and its dimensions with Internet addiction. Also, the multiple regression coefficient showed that there is a significant linear relationship between the predictor variable (feeling of homesickness) and the criterion variable (Internet addiction) and the dimensions of desire to return to the homeland with a beta coefficient of 0.36, loneliness with a beta coefficient of 0.31 and homesickness For close friends, with a beta coefficient of 0.21, it is able to predict Internet addiction. Manuscript profile -
Open Access Article
372 - Internet addiction and some of its demographic correlates in Tehran students
Ramin Alavinejad Shirin Kooshki Anita Baqdasariyans Fatemeh GolshaniThis research was conducted with the aim of investigating some demographic correlates of Internet addiction. The research population was all undergraduate students of Tehran universities who were studying in the academic year 1997-1998. The sample of this research inclu MoreThis research was conducted with the aim of investigating some demographic correlates of Internet addiction. The research population was all undergraduate students of Tehran universities who were studying in the academic year 1997-1998. The sample of this research included 800 students aged 18 to 24 who were selected by multi-stage cluster method. Data collection was done using demographic information questionnaire and Internet addiction questionnaire by Yang (1998). Among the studied demographic variables of the field of study, marital status, employment status, parenting methods and the topic of Internet consumption showed a significant difference between normal and problematic Internet users (p ˂ 005). Users who reported their parents as authoritarian or neglectful were significantly more in the group of problematic Internet users (p ˂ 0.1). In general, it seems that the relationship between students' demographic information and Internet addiction can have important implications. Some of these demographic characteristics can be considered in future research in terms of predicting and finding the cause of abnormal behaviors such as Internet addiction. Manuscript profile -
Open Access Article
373 - The Comparison of Financial Crisis Prediction Strength of Different Artificial Intelligence Techniques
Zahra Pourzamani Hassan kalantariRapid technological advances and vast environmental changes, leading to increasing competition and limit access to benefits and likely to suffer financial crisis has increased. Purpose of this study is investigating financial crisis prediction strength of different arti MoreRapid technological advances and vast environmental changes, leading to increasing competition and limit access to benefits and likely to suffer financial crisis has increased. Purpose of this study is investigating financial crisis prediction strength of different artificial intelligence techniques(linear and nonlinear genetic algorithm and neural network). Based on available information and statistics, of all companies listed in Tehran Stock Exchange, 72 companies have been subject to Article 141 trade law and 72 companies have not been subject to this Article was elected. Results of Mc-Nemar test for genetic algorithms techniques and neural network showed that there are not significant differences between linear and nonlinear genetic algorithms with neural network. Although the predictive accuracy of nonlinear genetic algorithm(90%) and linear genetic algorithms(80%) is more than of the neural network(70%) but this difference is not statistically significant. Manuscript profile -
Open Access Article
374 - نقش کیفیت حاکمیت شرکتی دررابطه بین جریانهای نقدی آزاد ودستکاری فعالیتهای واقعی
جمال بحری ثالث عسگر پاک مرام سعید یوسفی -
Open Access Article
375 - Providing Three-Dimensional Composite Model (Financial, Economic, Sustainability) in predicting Companies' Financial Distress
احمد برگ بید علی جعفری hasan salehnejadFinancial distress is a serious issue for the economic life of countries and forecasting distress for various groups including managers, banks, investors, policymakers and auditors is of great importance. The purpose of this study is to provide a combined three-dimensio MoreFinancial distress is a serious issue for the economic life of countries and forecasting distress for various groups including managers, banks, investors, policymakers and auditors is of great importance. The purpose of this study is to provide a combined three-dimensional model (financial, economic, sustainability), two-dimensional model (financial and economic) and one-dimensional (financial) in predicting financial distress of companies and also comparing the predictive power of models with component analysis approach. It is the principle that using the post-event approach (through past information) is of the descriptive-correlation type and based on the objectives is also of the applied research type. Also, the statistical population and spatial scope of this research, listed companies and its time domain. Using the systematic removal method, 113 listed companies were selected as a sample. The results showed that the three-dimensional hybrid model (financial, economic, sustainability) has a high predictive power for helplessness. Manuscript profile -
Open Access Article
376 - The relationship between Corona anxiety and social media addiction, depression and death anxiety in students of Shahid Chamran University of Ahvaz
mina maleki manijeh shehni yailaghThe aim of the present study was to investigate the relationship between corona anxiety and social media addiction, depression and death anxiety in students of Shahid Chamran University of Ahvaz. the current research was of applied type and in terms of method it was a d MoreThe aim of the present study was to investigate the relationship between corona anxiety and social media addiction, depression and death anxiety in students of Shahid Chamran University of Ahvaz. the current research was of applied type and in terms of method it was a descriptive-correlational study. the statistical population of this research consisted of all male and female undergraduate students of shahid chamran university of ahvaz who were studying in 2021-2022, and among them, 240 people were selected through cluster sampling. they responded to the questionnaires about Corona anxiety by Ailpour et al. (2018), social media addiction by Khaje Ahmadi et al. (2015), depression of students by Kawaja and Bryden (2006) and Templer's death anxiety (1970). Data was analyzed by Pearson correlation test and multiple regression using SPSS version 26 software. the findings showed that social media addiction (r = 0.541), depression (r = 0.473) and death anxiety (r = 0.310) have a significant relationship with corona anxiety. also, the results of multiple regression showed that the variables of social media addiction and depression have the ability to predict Corona anxiety by 37% and 24%, respectively, but death anxiety was not able to predict Corona anxiety. the results of the findings showed that social media addiction and depression have the ability to predict the Corona anxiety, so it seems that in the conditions of the Corona epidemic, it is possible to reduce the anxiety of Corona by reducing the social media addiction and intervening to improve depression. Manuscript profile -
Open Access Article
377 - A study of the relationship between the tendency toward drug addiction and the cognitive distortion, personality traits and academic burnout of the university students
Faranak MousaviTendency toward using drugs is defined as a kind of desire and dependency to use narcotics as the result of which the individual surrenders himself to that desire leading him to certain physical and psychological consequences. The purpose of this MoreTendency toward using drugs is defined as a kind of desire and dependency to use narcotics as the result of which the individual surrenders himself to that desire leading him to certain physical and psychological consequences. The purpose of this study is to present a structural model of drug addiction based on cognitive distortion, personality traits and academic exhaustion of the students of Kermanshah Azad University. As far as the structural models and implementation methods are concerned, the research methodology is defined as a descriptive one based on the correlation of the equations. The statistical population of this research includes the total number of the students of Azad University of Kermanshal branch in the academic year of 1399 – 1400 (2020 -2021), 235 of whom were selected as the sample group based on Cochran’s formula. The sampling method was available. To collect research data, both library and field study methods were used. In the section of the field study for data gathering questionaries on the tendency to use addictive substances of Adram and Nikmanessh (2021), five personality factors (NEO-FFI) and the Cognitive distortion scale were used. SPSS software was used to analyze research data. The results showed that there is a relationship between cognitive distortion and the tendency toward drug addiction. The results also demonstrate that there exists a relationship between personality traits and addiction tendency. Other results also showed that there is a significant relationship between academic burnout and tendency toward drug addiction. Manuscript profile -
Open Access Article
378 - The effect of rumination on sleep quality: The mediating role of Internet addiction and sleep deprivation in Iranian bodybuilding athletes
Kazem Cheragh birjandi Javad SharafiThe aim of this study was to investigate the effect of rumination on sleep quality: The mediating role of Internet addiction and sleep deprivation in Iranian bodybuilding athletes. The research method is descriptive . The statistical population of the study included bod MoreThe aim of this study was to investigate the effect of rumination on sleep quality: The mediating role of Internet addiction and sleep deprivation in Iranian bodybuilding athletes. The research method is descriptive . The statistical population of the study included bodybuilding athletes in Iran. Due to the infinity of the statistical population, the number of samples according to Morgan's table was 384 people and the sampling method was used as a multi-stage cluster. The research instruments included the Nalen Hoksma and Murrow (1991) rumination questionnaire, the Tuckman (2002) procrastination questionnaire, the Kimberly & Young (1998) Internet addiction questionnaire, and the Petersburg (1998) sleep quality questionnaire. To ensure the reliability of the questionnaires, 30 copies were distributed in a pilot study on a randomly selected sample and Cronbach's alpha coefficient for rumination (α = 0.80), procrastination (α = 0.81), addiction to Internet (α = 0.79) and for sleep quality (α = 0.82) were obtained. The results showed that Internet addiction has a mediating role in the relationship between rumination and sleep quality in Iranian bodybuilding athletes. But the sleep procrastination variable does not play a mediating role. Also, the structural model of the research showed a favorable fit according to the value of GOF = 0.48 index. Therefore, it is recommended that bodybuilding athletes to improve the quality of sleep to minimize the role of virtual tools in their leisure time and use activities that reduce their rumination. Manuscript profile -
Open Access Article
379 - Adaptive Online Traffic Flow Prediction Using Aggregated Neuro Fuzzy Approach
Shiva Rahimipour Mahnaz Mohaqeq S.Mehdi Hashemi -
Open Access Article
380 - Evaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
Shahram Javadi Zeinab Hojjatinia -
Open Access Article
381 - Predicting the Next State of Traffic by Data Mining Classification Techniques
S.Mehdi Hashemi Mehrdad Almasi Roozbeh Ebrazi Mohsen Jahanshahi -
Open Access Article
382 - Neuro-Fuzzy Based Algorithm for Online Dynamic Voltage Stability Status Prediction Using Wide-Area Phasor Measurements
Ahmad Ahmadi Yousef Alinezhad Beromi -
Open Access Article
383 - The study of the effect of social networks on social distance (isolation) in students of Islamic Azad University, Shoushtar Branch
behzad hakiminya NABIALLAH iderToday, the presence of social networks in the social life of citizens has become an integral part of life. Although some of the benefits of these networks can not be denied, unusual use of these networks will have adverse consequences for society and individuals. In thi MoreToday, the presence of social networks in the social life of citizens has become an integral part of life. Although some of the benefits of these networks can not be denied, unusual use of these networks will have adverse consequences for society and individuals. In this regard, this research was conducted with the aim of investigating the effect of social networks on social distance (isolation) in students of Islamic Azad University, Shoushtar Branch, using a descriptive survey method. The statistical population of the study consisted of all students of Social Network members at Islamic Azad University, Shoushtar Branch. The sample size was estimated using the Lynn and Morgan tables for a confidence level of 0.95 and a maximum dispersion of 384 people, and the sampling method is also a multi-stage systematic. The results of this study have shown that the use of social networks has a significant effect on social isolation, the intensity of family relationships, membership in real groups, Internet addiction, identity crisis, disruption in personality formation, conflict of values, and the expansion of unconventional communication. But the amount of social networking based on the socio-economic base of individuals does not have a significant difference, although it varies according to gender, and men use social networks more than women. Manuscript profile -
Open Access Article
384 - Sociological Explanation of Women's addiction in Poor Neighborhoods in Arak (2017)
عباس خسروانی Reza Ali Mohseni Mohseni habib saborikhosroshahiThe purpose of this research is to identify and explain the sociological aspects of women's addiction in the suburbs of the city of Arak.For this purpose, five main components of the neighborhood, namely population density, population heterogeneity, inconsistency of goa MoreThe purpose of this research is to identify and explain the sociological aspects of women's addiction in the suburbs of the city of Arak.For this purpose, five main components of the neighborhood, namely population density, population heterogeneity, inconsistency of goals and facilities, relationship with perpetrators and the culture of poverty, and their impact on the addiction of women living in these neighborhoods have been examined.A sample of 374 people was selected through a simple random sampling method of 14,450 women living in 9 sub-urban areas of Arak.The study showed that addiction in the suburbs of the city of Arak has a high level, and 5 indicators of these neighborhoods have been highly and highly evaluated.The results of regression analysis showed that the correlation coefficient of the regression model and drug use variables were 0.970 and 0.941.The results of path analysis indicated that the effect of factors such as location density, population heterogeneity, inconsistency of facilities and goals, relationship with delinquents and poverty culture on women addiction is significant. Manuscript profile -
Open Access Article
385 - A Sociological Explanation of the Relationship between Internet Addiction and Social Isolation in of the Youth in the City of Tehran
zohreh shabani alireza mohseni tabrizi roza karampourAbstract: The present article explaines the relationship between internet addiction and valuable and social isolation of the 18-29 aged youth in Tehran city. The method of this research was survey analysis and the sample group (384 people) were chosen in stratified way MoreAbstract: The present article explaines the relationship between internet addiction and valuable and social isolation of the 18-29 aged youth in Tehran city. The method of this research was survey analysis and the sample group (384 people) were chosen in stratified way through Cookeran formula. Researcher’s self- made questionnaire with 0.74 relaiability and the content validity was used to gather the data. The researche`s framwork was prepared by using Griffiths (1998), Kim (2000), Affonso (1999), Granovetter (2001), Seeman (1959) & Chalabi and AmirKafi (2004) theories. The obtained results of multiple- regression and path analysis revealed that all six indexes of internet addiction (prominence, mood changing, tolerance, conflict, recurrence) can specify 44 percent of Tehranian adult’s social isolation in which mood changing with = β 0/389 and resignation signs with = β 0/281 had the main effect and portion. In contrast to it, the tolerance with = β 0/269 and recurrence with = β 0/211 were the least affective predictors of adult’s social isolation. Manuscript profile -
Open Access Article
386 - Structural Equation Modeling of The Effect of Addiction to Social Networks on Marital Conflicts in Tehran Families
zahra fariborz bagher saroukhani Zahra Hazrati someehThe aim of this study was to investigate the effect of addiction to social networks on marital conflict among couples in Tehran. In this research, based on Parsons's theory of structural functionalism and using hybrid approach, is presented a theoretical-analytical mode MoreThe aim of this study was to investigate the effect of addiction to social networks on marital conflict among couples in Tehran. In this research, based on Parsons's theory of structural functionalism and using hybrid approach, is presented a theoretical-analytical model of influential variables in this regard. The research method was survey and data collection tool was a questionnaire. The statistical population of the study is all married residents in Tehran and the sample included 403 married people who had access to cyberspace. Also ,two-stage cluster sampling method was used to select this number. Structural equation modeling (SEM) and corresponding software (AMOS) were used to analyze the data. The findings indicate that there is a direct and significant relationship between independent variable of addiction to social networks and dependent variable of marital conflicts; But, addiction to social networks through variables of intimacy, alienation, religiosity, mental health and adherence to traditions and values affects the dependent variable of marital conflicts and has a significant relationship. Among these, the marital intimacy variable, with an impact factor of 0.36 has the highest value. The results of the fitness test of the theoretical model of the research showed that the proposed structural model is a suitable model. Manuscript profile -
Open Access Article
387 - Investigating social and cultural factors related to the change in addiction tendency of Ardabil students
alireza a;ipour ALI ASGHAR ABBASI ASFAJIR ali rahmaniThe study aimed to assess factors associated with the tendency to addiction. The population of this study consisted of all students at the University of Applied Science, Urmia police unit who are studying in the academic year 94-93. The sample size in this study, accord MoreThe study aimed to assess factors associated with the tendency to addiction. The population of this study consisted of all students at the University of Applied Science, Urmia police unit who are studying in the academic year 94-93. The sample size in this study, according to Morgan, 70, who was selected by stratified random sampling method. Data were collected by questionnaire. The findings suggest that the relationship between extracurricular activities with no significant tendency towards addiction. The laws and regulations in relation to drug addiction tendencies and significant negative relationship exist. The confidence of students with significant negative correlation is their tendency to addiction. Negative relationship between academic achievement and their tendency to addiction and meaningful. Laws and regulations related to addiction, self-esteem and academic achievement and a significant negative effect on students' tendency to addiction and its inverse predictor. Extracurricular activities, students do not have a significant effect on the tendency to addiction and not significant predictors. Manuscript profile -
Open Access Article
388 - A reflection on the basis of jurisdictional deviation in Iran's criminal procedure regulations with a look at French regulations
Abbas ali ghorbaniyan Ali mazidi Seeyad Mehdi MansouriOne of the important manifestations of protecting individual rights is the right to a fair trial. Complying with the rules of competence is known as one of the mandatory rules among the principles of fair proceedings, the violation of which has been exceptionally recogn MoreOne of the important manifestations of protecting individual rights is the right to a fair trial. Complying with the rules of competence is known as one of the mandatory rules among the principles of fair proceedings, the violation of which has been exceptionally recognized in the criminal procedure law of Iran and France in the form of deviation from inherent and local jurisdiction. The main question in this article is what is the basis of disqualification? In this article, with a descriptive-analytical method, we have investigated cases of deviation from jurisdiction in the criminal procedure law of Iran and France, and we have come to the conclusion that the two important viewpoints of individual rights and public security can be used as the foundations of deviation. He mentioned the qualification. Sometimes the government ignores the rules of jurisdiction in order to protect the rights of the accused in order to have a fair trial, and sometimes the government overrides the rules of jurisdiction for order and public security. The latter case is one of the cases that, due to its unclear scope, can cause the violation of the rights of the defendants. Manuscript profile -
Open Access Article
389 - Prediction of stock efficiency based on kernel distribution and mixture of normal distributions
Gholam reza Zeinali Narges yazdanianModeling and predicting stock returns has always been one of the challenges for researchers and investors. Hence, different methods and models have been proposed, most of which have been based on assumptions such as the distribution of returns. The kernel distribution a MoreModeling and predicting stock returns has always been one of the challenges for researchers and investors. Hence, different methods and models have been proposed, most of which have been based on assumptions such as the distribution of returns. The kernel distribution and mixture of normal distributions were examined to predict stock return in the present study. To this end, kernel functions and mixtures of normal distributions and related parameters have been estimated using maximization of likelihood function and quartiles 99%, 95% and 90% were computed for each of distributions and for 30 superior enterprises listed in Tehran Security and Exchange (TSE) at first quarter in 2019 as predictor values of stock return. In order to determine precision of prediction methods, MSE and PRED error criteria were employed and the findings showed that mixture of normal distributions and kernel approximation might propose favorable predictions for 5-day stock returns in quartiles 90% of return distribution. Comparison of precision between two methods indicated that kernel approximation, as a non parametric method for prediction of returns, leads to higher precision than mixture of normal distributions. Manuscript profile -
Open Access Article
390 - Designing non-linear pattern contagious influence of the Tehran Price Index from the physical assets market (Application of NARX artificial neural network model)
mahdi shaban habibollah nakhaei Ghodrat Alloh Talebnia nazanin bashirimaneshThe present study examines the contagiousness of the Tehran Stock Exchange from the price of parallel assets using the dynamic neural network. To perform calculations, the time series of coin price variables as a representative of the gold market, the average price per MoreThe present study examines the contagiousness of the Tehran Stock Exchange from the price of parallel assets using the dynamic neural network. To perform calculations, the time series of coin price variables as a representative of the gold market, the average price per square meter of residential building as a representative of the housing market. The price of each barrel of Iranian crude oil and the US dollar exchange rate and their conditional fluctuations as explanatory variables and the total index of Tehran Stock Exchange and its conditional fluctuation as the target variable from 1387 to 1397 are examined daily .The dynamic neural network is evaluated with four input variables and one target variable with different neurons with the MSE criteria, and the models with 20 neurons and 10 neurons have the lowest MSE, .Research results show that the stock exchange has a maximum of two lag from competing markets has become contagious, indicating the poor performance of the Tehran Stock Exchange. The results show that the proposed neural network patterns have a high power in predicting the index of Tehran Stock Exchange and its fluctuations from 1387 to 1397 as in-sample forecast and in 1398 as extra-sample forecast. Manuscript profile -
Open Access Article
391 - Stock Price Prediction in Tehran Stock Exchange Using Artificial Neural Network Model and ARIMA Model: A Case Study of Two Active Pharmaceutical Companies in Stock Exchange
Ahmad Chegeni AZIZ GORDIn This Study We Compare the Efficiency of Both Artificial Neural Network Prediction Methods (ANN) and Traditional Method of Auto Regressive Integrated Moving Average (ARIMA) in Predicting Stock Prices in Iranian Stock Market. For This Purpose, Four Pharmaceutical Compa MoreIn This Study We Compare the Efficiency of Both Artificial Neural Network Prediction Methods (ANN) and Traditional Method of Auto Regressive Integrated Moving Average (ARIMA) in Predicting Stock Prices in Iranian Stock Market. For This Purpose, Four Pharmaceutical Companies, Alborz Drug, Iran Drug, Pars Drug, and Jam Drug Were Selected and ARIMA Model and Artificial Neural Network Model Were Estimated For All Four Companies. In Order to Estimate Artificial Neural Network Model, Stock Price Variable as Dependent Variable and Stock Trading Volume, Drug Industry Index, OPEC Oil Price, Exchange Rate and Gold Price are Considered as Independent Variables. MSE, RMSE, MAD, R2 and MAPE Criteria Were Used to Compare Two Models. In Order to Estimate the Stock Price Forecast Regression Model, Use of Auto Regressive Integrated Moving Average (ARIMA) Regression Is Used and Estimation of the Coefficients of the Model is Performed Using the EVIEWS Statistical Software. An Suitable ANN Model Was Created For Predicting Stock Prices Using MATLAB Software. The Results of the Research Showed That the Research Hypothesis is Correct and the Artificial Neural Network Model (ANN) Has a Better Predictor of Stock Price in the Iranian Stock Market Than the ARIMA Method. Manuscript profile -
Open Access Article
392 - The Comparison of Cryptocurrency Returns Prediction Based on Geometric Brownian Motion and Wavelet Transform
Ahmad Shojaei Alireza Heidarzadeh HanzaeiIn the present study the accuracy of predicting cryptocurrencies return was compared through two approaches of Geometric Broanian Motion (GBM) and Wavelet Transforms (WT). In order to do that, 5 cryptocurrencies of BTC, ETH, XRP, BCH and EOS as representatives of risky MoreIn the present study the accuracy of predicting cryptocurrencies return was compared through two approaches of Geometric Broanian Motion (GBM) and Wavelet Transforms (WT). In order to do that, 5 cryptocurrencies of BTC, ETH, XRP, BCH and EOS as representatives of risky assets were studied with daily frequency during the one year period of 2018 to 2019. Two measures of RMSE and MAE were employed to compare the accuracy of approaches in prediction of returns. In geometric Brownian modeling, the Brownian process-based stochastic differential model for asset prices leads to the fact that the logarithmic return of an asset has a normal distribution with time-dependent parameters. The results of logarithmic returns prediction by both of methods showed that WTs have less error than GBM in returns prediction of BTC, ETH, XRP and BCH cryptocurrencies and for each of accuracy measures, an specific approach has desirable performance for prediction of EOS returns. citing these results it can be concluded that WT in prediction of risky assts returns has less error than GBM method. Manuscript profile -
Open Access Article
393 - Imaged financial Ratios and Bankruptcy Prediction using Convolutional Neural Networks
abbasali haghparast alireza momeni Aziz Gord fardin mansooriConvolutional neural networks are being applied to identification problems in a variety of fields, and in some areas are showing higher discrimination accuracies than conventional methods. Hence, in this research, an attempt is made to apply a convolutional neural network MoreConvolutional neural networks are being applied to identification problems in a variety of fields, and in some areas are showing higher discrimination accuracies than conventional methods. Hence, in this research, an attempt is made to apply a convolutional neural network to the prediction of corporate bankruptcy. The financial statements ratios has been choice 66 companies that have been delisted from the Iran Stock Market due to de facto bankruptcy as well as the financial statements of 66 listed companies over 2000 to 2019 financial periods. In this method, a set of financial ratios are derived from the financial statements and represented as a grayscale image. The image generated by this process is utilized for training and testing a convolutional neural network. The images for the bankrupt and continuing enterprises classes are used for training the convolutional neural network based on GoogLeNet. The findings shows, in prediction of going concern of firms, Convolutional neural network has predicted with 50 percent of precision. This means that 50 percent of continues firms and 50 percent of bankrupt firms has been predicted precisely. Manuscript profile -
Open Access Article
394 - Designing a model for predicting bitcoin returns (with emphasis on hybrid models of convolutional and recursive neural networks and models with long-term memory)
Mohammad Javad Bakhtiaran Mehdi ZolfaghariFinding the best way to optimize the portfolio is one of the concerns of activists in the investment management industry. In recent years, the introduction of economic and mathematical models in the prediction of Bitcoin has helped many investors to optimize portfolios. MoreFinding the best way to optimize the portfolio is one of the concerns of activists in the investment management industry. In recent years, the introduction of economic and mathematical models in the prediction of Bitcoin has helped many investors to optimize portfolios. Therefore, in this study, we introduce models of GARCH family composition and recurrent and convolutional neural network to predict the daily yield of Bitcoin will be paid during the period of 1398-1392. In this study, the Bitcoin is examined using GARCH and EGARCH short-term memory models. Of the two variables, the price of crude oil and the Gold as factors that their shocks and fluctuations have a major impact on Bitcoin are used as control variables. In addition to using long-term memory models, considering the better performance of combined models (compared to individual models) In anticipation In this study, all models of the GARCH family (both short and long run) with the recurrent and convolutional neural network were combined and using the combined models, the efficiency of the Bitcoin for the next 10 days were predicted step by step and its accuracy Based on the evaluation criteria. Manuscript profile -
Open Access Article
395 - Designing a Model for Forecasting the Gold Price Returns (Emphasizing on Combined convolutional neural network Models and GARCH Family Models)
Mohammad Javad Bakhtiaran mehdi ZolfaghariFinding the best way to optimize the portfolio is one of the concerns of activists in the investment management industry. In recent years, the introduction of economic and mathematical models in the prediction of Gold indice has helped many investors to optimize portfol MoreFinding the best way to optimize the portfolio is one of the concerns of activists in the investment management industry. In recent years, the introduction of economic and mathematical models in the prediction of Gold indice has helped many investors to optimize portfolios. Therefore, in this study, we introduce models of GARCH family composition and convoultional neural network to predict the daily yield of Gold index will be paid during the period of 1390-1398. In this study, the Gold index is examined using GARCH and EGARCH short-term memory models. Of the two variables, the price of crude oil and the dollar index as factors that their shocks and fluctuations have a major impact on Gold indices are used as control variables. In addition to using convolutional model, considering the better performance of combined models (compared to individual models ) In anticipation In this study, all models of the GARCH family (both short and long run) with the convoultional neural network were combined and using the combined models, the efficiency of the main stock index and the five selected indicators for the next 10 days were predicted step by step and its accuracy Based on the evaluation criteria. Manuscript profile -
Open Access Article
396 - Presentation Optimization portfolio model from market index prediction model despite of the long term memory with neural network
saeed moshtagh Farhad Hosseinzadeh Lotfi Esmail fadayi nezhadThe effect economic variables at investment markets is the important subject in financial theory. Tehran stock exchange to have special position in country financial system and efficiency development investment market is dependent being active this constitution in count MoreThe effect economic variables at investment markets is the important subject in financial theory. Tehran stock exchange to have special position in country financial system and efficiency development investment market is dependent being active this constitution in country. Two important function Tehran exchange market are gathering small savings and available liquidity in society and guide them to production process in country. In this way presentation optimization portfolio model from market index prediction model and exchange return rate is impact. One of the tools with high accuracy and applicable for predicting was neural network why so accuracy isnot decrease with increasing thesis data and its accuracy was very higher than regeression, linear and non linear for prediction. After some tests from artificial neural network and adaptive neuro fuzzy inference system and support vector regression with matlab software has been done. We design a model with high accurancy for predicting rate of liquidity index and total return index and then we design Ideal optimization portfolio. Manuscript profile -
Open Access Article
397 - Prediction of Tehran Stock Exchange Total Index Using Bacterial Foraging OptimizationAlgorithm
ahmad nateq golestanIt is impossible to advance the economic goals of any country without financial markets. Since the stock exchange is one of the most important financial markets in the country, and the stock index is one of the important parameters in determining it,s performance, So th MoreIt is impossible to advance the economic goals of any country without financial markets. Since the stock exchange is one of the most important financial markets in the country, and the stock index is one of the important parameters in determining it,s performance, So the stock index and economic development have an important interconnected relationship. Stock market forecasting has been considered as one of the most challenging financial issues and the accuracy of these forecasts is crucial for improving trading and investment strategies in the stock market. The total price of Tehran stock exchange price using intelligent methods. An optimization Bacterial Foraging Optimization Algorithm has been for modeling. In this research, the total index of Tehran stock exchange price data for the 23rd March 2006 to 21rd March 2018. Ten using the total price index data (consists of the highest price, lowest price, closing price and total volume of stocks traded for the day) and finally, by Matlab software, the forecast price index waz calculated. The results of the research show that the algorithm has the accuracy of ninety seven percent ability to predict the total index price of the stock exchange. Manuscript profile -
Open Access Article
398 - A model for predicting stock price reaction delays based on grounded theory
kyvan faramarzi jamal bahrisales Saeed Jabbarzadeh Kangarlouie ali ashtabThe aim of current study was to provide a model for predicting stock price reaction delay based on grounded theory. In the present study,semi-structured interviews have been used as data collection tools and snowball or chain sampling methods and purposeful sampling has MoreThe aim of current study was to provide a model for predicting stock price reaction delay based on grounded theory. In the present study,semi-structured interviews have been used as data collection tools and snowball or chain sampling methods and purposeful sampling has been used to select the sample which based on the principle of theoretical adequacy The research data were analyzed using open, axial and selective coding. Results: In this study, based on 42 conducted interviews, a total of 607 interview codes, 101 sub-categories (concepts) and 11 main categories were extracted. Then the qualitative model of the research is designed and based on the analysis of data (interviews) the link between the categories in the form of causal conditions, contextual conditions, intervening conditions, strategies and consequences has been conducted. The results indicated that macro factors and market shareholders are effective in predicting the stock price reaction delay.On the other hand, according to these affecting factors, strategies to improve the stock price reaction delay prediction, including the establishment of corporate information and financial statements, corporate information, market performance criteria, management and corporate control which are aroused in the context of affecting factors and interferers, are presented. Manuscript profile -
Open Access Article
399 - Investigating the Dynamic relations between the Trend of Tehran Stock Exchange’s index and the Cumulative Funds' Cash Flow".
mirfeiz fallah Amirhosseyn shamaeezadehThe purpose of this study is to investigate the relationship between the net cash flows of the Tehran Stock Exchange funds and the Tehran Stock Exchange index during the period of 2013 to December 2019, using the information of the 10 largest active mutual funds establi MoreThe purpose of this study is to investigate the relationship between the net cash flows of the Tehran Stock Exchange funds and the Tehran Stock Exchange index during the period of 2013 to December 2019, using the information of the 10 largest active mutual funds established and active in the Tehran Stock Exchange during this period. .In this study, an index of net cash flows into mutual funds daily and cumulatively is considered as a measure of cash flow compared to the TSE Index (TEDPIX). The results of this test indicate that the two indices are coherent in series and their relationships are significant in the long run. Also, the Granger causality test was used to examine the interrelationships between these two indices.The results of this test showed that there is an interaction between the two indices. This means that in the long run, both indices affect each other so net cash inflows to the funds can be a measure for predicting the overall indices trend but with Attention to the behavioral errors identified in similar articles.for predicting the index cannot be relied solely on net cash inflows into the funds. Manuscript profile -
Open Access Article
400 - The Assessment of the optimal Deep Learning Algorithm on Stock Price Prediction (Long Short-Term Memory Approach)
Amir Sharif far Maryam Khalili Araghi Iman Raeesi Vanani Mirfeiz FallahForecasting stock prices plays an important role in setting a trading strategy or determining the appropriate timing for buying or selling a stock. Deep Learning (DL) is a type of Artificial Neural Network (ANN) that consists of multiple processing layers and enables hi MoreForecasting stock prices plays an important role in setting a trading strategy or determining the appropriate timing for buying or selling a stock. Deep Learning (DL) is a type of Artificial Neural Network (ANN) that consists of multiple processing layers and enables high-level abstraction to model data. The key advantage of DL models is extracting the good features of input data automatically using a general-purpose learning procedure which is suitable for dynamic time series such as stock price.In this research the ability of Long Short-Term Memory (LSTM) to predict the stock price is studied; moreover, the factors that have significant effects on the stock price is classified and legal and natural person trading is introduced as an important factor which has influence on the stock price. Price data, technical indexes and legal and natural person trading is used as an input data for running the model. The results obtained from LSTM with Dropout layer are better and more stable than simple form of LSTM and RNN models. Manuscript profile -
Open Access Article
401 - Predicting the daily index of the Tehran Stock Exchange using the selection of appropriate features for the Long Short-Term Memory neural network (LSTM)
Somayeh Mohebi Mohammad Esmaeil Fadaeinejad mohammad osoolian Mohammad reza HamidizadehThe stock market index is one of the effective features in investment because it can well reflect the health status and macro change trend of a country’s economic development. Various features affect the stock index. The various combinations of these features crea MoreThe stock market index is one of the effective features in investment because it can well reflect the health status and macro change trend of a country’s economic development. Various features affect the stock index. The various combinations of these features create a wide state space. Hence, it is impractical to provide a data set containing all these combinations to train the stock index prediction model. in this research, an attempt has been made, after collecting a significant number of effective features on the index, to provide a method for selecting appropriate features for the stock index prediction model with aim of increasing prediction accuracy. For this purpose, the mRMR algorithm is used as the basic algorithm. Also, to select the appropriate model, a number of the most applicable artificial intelligence models for predicting the stock index were compared and according to the results, the LSTM network was selected to predict the stock index. The results of this study show that using the LSTM network and the proposed method in selecting features, with 8 selected features, high accuracy can be achieved in the daily prediction of the Tehran Stock Exchange Index. So that MPE is calculated to be about 2.66, Manuscript profile -
Open Access Article
402 - A prediction-based portfolio optimization model using support vector regression
Mohammad Amin Monadi Amirabbas NajafiThe purpose of portfolio optimization is to select an optimal combination of financial assets, which should be a guide for investors to achieve the highest returns against the lowest possible risk. On the other hand, one of the key factors in portfolio optimization deci MoreThe purpose of portfolio optimization is to select an optimal combination of financial assets, which should be a guide for investors to achieve the highest returns against the lowest possible risk. On the other hand, one of the key factors in portfolio optimization decisions is related to predict the stock prices. To do this, classical nonlinear mathematical and intelligent models such as regression are commonly used. In the present study, a nonlinear model of support vector regression with multiple outputs is applied to reduce the prediction errors. To show the effectiveness of the proposed model, the data of S & P500 index companies in the period 12/09/2016 to 02/08/2021 is used. The results show that the selection of a portfolio based on prediction using multiple vector backup regression due to considering the relationships between outputs simultaneously in terms of Sharp criteria has a better performance than the selection of portfolio based on prediction using regression method. Manuscript profile -
Open Access Article
403 - Comparison of the Predictive Accuracy of Artificial Neural Network Systems Based on Multilayer Perceptron Approach and Falmer Binary-Logistics Model in Order to Predict Bankruptcy
Somieh Saroei Hamid Reza Vkili Fard, Ghodratolah Taleb NiaFinancial analysts and other users need relevant and reliable information to predict corporate bankruptcy, which should be distributed symmetrically to all users. Accordingly, the purpose of this study is to compare the prediction accuracy of Artificial Neural Network ( MoreFinancial analysts and other users need relevant and reliable information to predict corporate bankruptcy, which should be distributed symmetrically to all users. Accordingly, the purpose of this study is to compare the prediction accuracy of Artificial Neural Network (ANN) systems based on the Multilayer Perceptron Approach and Falmer Binary-Logistics Model in order to predict bankruptcy. To test the hypotheses, the combined data of 172 companies listed on the Tehran Stock Exchange in the period 2007-2016 were used. The results of the analysis of the research data show that the ANN system can identify of the factors affecting on bankruptcy of Iranian companies in the year before bankruptcy by Precision equal 98%. Findings from the binary-logistic model showed that the forecasting model designed based on the Falmer regression method is able to predict with 82% accuracy the bankruptcy of the sample companies. Therefore, the use of artificial neural networks can more powerfully and accurately predict bankruptcy than regression models. Manuscript profile -
Open Access Article
404 - Deep learning for stock market forecasting using numerical and textual information (Long-Short Term Memory approach)
seyyedeh mozhgan beheshti masalegou Mohammad ali Afshar kazemi jalal Haghighat monfared Ali RezaeianStock prices are influenced by many factors, making forecasting challenging. This prediction is often ineffective if it only considers numerical data or textual information. This research aims to provide a method of forecasting the future price of stocks based on the st MoreStock prices are influenced by many factors, making forecasting challenging. This prediction is often ineffective if it only considers numerical data or textual information. This research aims to provide a method of forecasting the future price of stocks based on the structure of a deep neural network using price data, a set of technical indicators, and news headlines as input to the model. For this purpose, Dow Jones stock data and Reddit channel news data have been used. Technical features are extracted from the stock data, and the news data are converted into a feature vector by the Bag of Words method and fed into the Long-Short term memory network for prediction. Accuracy is used as a performance evaluation measure and experiments on two data sets. The only numerical and only text has been used to evaluate the simultaneous use of two information sources. Also, three networks, SVM, MLP, and RNN, have been used to evaluate the model. The results show that the LSTM model achieved the highest prediction accuracy of 69.19% using news and financial data. News data is 65.62% accurate, and numerical data is 51.89%. Also, the LSTM model performs better than SVM, MLP, and RNN neural networks. Manuscript profile -
Open Access Article
405 - Solving Imbalanced Data Distribution Problem in Bankruptcy Prediction by Cost-Sensitive Learning Method
seyed behrooz razavi ebrahim abbasiThis study aimed to add cost-sensitive learning technique to imbalanced data-based bankruptcy prediction models in order to reduce type I error and increase the geometric mean criterion of overall accuracy to reduce the misclassification costs of bankrupt companies for MoreThis study aimed to add cost-sensitive learning technique to imbalanced data-based bankruptcy prediction models in order to reduce type I error and increase the geometric mean criterion of overall accuracy to reduce the misclassification costs of bankrupt companies for stakeholders. For this purpose, type I error, type II error, and the geometric mean of overall accuracy of bankruptcy models based on cost-sensitive learning were compared with bankruptcy prediction models with highly imbalanced datasets. The statistical sample included 1200 year-companies since 2001- 2020, consisting of 90% healthy companies and 10% bankrupt companies. Hypotheses test results showed that adding a cost-sensitive learning technique to the bankruptcy prediction models led to a significant decrease in the type I error, a significant increase in the type II error, and a significant increase in geometric mean of accuracy of imbalanced data-based models at 95% confidence level. Also, with the increase in the misclassification cost of bankrupt companies, type I error had a downward trend and the II type error had an upward trend, and the geometric mean of accuracy had an upward trend. Manuscript profile -
Open Access Article
406 - Presenting a market direction prediction model for gold coin trades in Iran’s Commodity Exchange market using Long Short-Term Memory (LSTM) algorithm
Soheil Zoghi Reza Raei Saeed FalahporIn recent years, deep learning neural networks have been recognized as powerful tools for solving complex problems. Deep learning is a subfield of artificial intelligence in which complex problems with numerous parameters and inputs are modeled based on a set of algorit MoreIn recent years, deep learning neural networks have been recognized as powerful tools for solving complex problems. Deep learning is a subfield of artificial intelligence in which complex problems with numerous parameters and inputs are modeled based on a set of algorithms. In this research, a new framework of deep learning is presented. Using wavelet transform, stacked auto-encoders, and the Long Short-Term Memory or LSTM, we predict the market direction in the future contracts of gold coins of Iran's Commodity Exchange market. The input data is first denoised using the wavelet transformer in the proposed method. Then, using the stacked auto-encoder, the indicators influencing the market direction are identified. Ultimately, these indicators are given as input to the LSTM architecture to predict the market direction. Proposing several new technical indicators to increase the accuracy of the proposed model, adjusting the parameters of the utilized algorithms, including LSTM, for this problem, and suggesting a trading strategy to achieve appropriate profitability are among the contributions of the present study. Investigations reveal that the proposed method outperforms other approaches and achieves higher accuracy and efficiency. Manuscript profile -
Open Access Article
407 - Price predicting with LSTM artificial neural network and portfolio selection model of financial assets and digital currencies
Faranak Khonsarian Babak teimourpour Mohammad Ali RastegarFinding solutions for price prediction, forming an optimal portfolio and achieving more profit are the basic goals of financial market activists. The purpose of this research is to predict the price of financial assets such as several stocks, gold, coin and a number of MoreFinding solutions for price prediction, forming an optimal portfolio and achieving more profit are the basic goals of financial market activists. The purpose of this research is to predict the price of financial assets such as several stocks, gold, coin and a number of digital currencies using the LSTM neural network model and then form an optimal portfolio by calculating the rate of return, risk and the Sharpe ratio. The data used is from the archives of the Tehran Stock Exchange website, the website of the gold, coin and currency information network, as well as the website of buying and selling digital currencies. The time series of the prices of the investigated assets is between 2017 and 2020. Also, we used Python programming language and Gephi software to build the model and analyze the data. In the end, it was found that the LSTM neural network model is capable of predicting the price of financial assets with a very low error rate in each asset, and according to the Sharpe ratio obtained for each financial asset and the correlation matrix, Vebank stock, Khbahman 1 stock, and Digital currencies TRON, Tether and Bitcoin allocate more shares in the proposed portfolio. Manuscript profile -
Open Access Article
408 - Bankruptcy prediction using hybrid data mining models based on misclassification penalty
Atiye Torkaman AmirAbbas NajafiIn recent years, data mining, particularly the support vector machine, has gained considerable interest among investors, managers, and researchers as an effective means of bankruptcy prediction. However, studies indicate that it is highly sensitive to the selection of p MoreIn recent years, data mining, particularly the support vector machine, has gained considerable interest among investors, managers, and researchers as an effective means of bankruptcy prediction. However, studies indicate that it is highly sensitive to the selection of parameters and input variables. Hence, the aim of this research is to improve bankruptcy prediction accuracy by combining an advanced support vector machine model with the k-nearest neighbor approach to eliminate erroneous entries. To achieve this, first, by using five financial ratios: current ratio, net profit margin, debt ratio, return on assets, and return of investment from 150 companies listed on the Tehran Stock Exchange during the 10-year period (2010-2019), and k-nearest neighbor algorithm, the training data will be refined. Then, relying on a support vector machine based on classification penalty, a prediction model will be constructed. The parameters will be estimated, and its validity will be assessed using test data. Finally, a comparison will be made between the outcomes of the proposed model and traditional models.The findings demonstrate that the combination of the k-nearest neighbor models and support vector machine reduces the overall prediction error, and the penalty coefficients of the support vector machine exhibit a high level of statistical significance. Manuscript profile -
Open Access Article
409 - Corporates Manner and Comparing its Prediction Accuracy with Decision Tree and Bayes Models
zohre arefmanesh vahid zare mehrjardi Alireza Mohammadi nodooshanThe main objective of this study is to design corporate financial distress prediction models for the following three industries basic metals, non-metallic minerals and machinery and equipment, using the bagging model. Moreover, the prediction accuracies of the designed MoreThe main objective of this study is to design corporate financial distress prediction models for the following three industries basic metals, non-metallic minerals and machinery and equipment, using the bagging model. Moreover, the prediction accuracies of the designed models are compared to the bayes and decision tree models. Aimed Statistical population of this research includes all the corporations of each of the industries. The financial distress criterion employed in this research is the criteria of article 141 in commercial code and the timeline of the research is from 2001 to 2016. The results shows that, comparing to the base models (i.e. decision tree and bayes), the bagging model has a better prediction accuracy average. Moreover, based on the obtained results, it can be concluded that the bagging, decision tree and bayes models are qualified models for the corporate bankruptcy prediction Manuscript profile -
Open Access Article
410 - Providing a model for predicting stock prices using ultra-innovative neural networks
Seyyed Hosein Miralavi zahra pourzamaniDue to the complexity of the stock market and the high volume of processable information, often using a simple system to predict cannot release appropriate results. Therefore, researchers have been trying to provide a system with less complexity and more efficiency and MoreDue to the complexity of the stock market and the high volume of processable information, often using a simple system to predict cannot release appropriate results. Therefore, researchers have been trying to provide a system with less complexity and more efficiency and accuracy using hybrid models. nowadays various patters are used including statistical technique (discriminate analysis , logistic , analysis factors) and artificial intelligent techniques ( neural networks(NN) , decision trees , case based reasoning , genetic algorithm , rough sets , support vector machine , fuzzy logic ) and the combination of these two technique for predicating stock prices. For most predictive models, the system uses only one indicator to predict, but in the proposed model in this study, a two-level system of multilayered perceptron neural networks is presented which uses several indicators to predict. To do this, required information of Tehran Stock Exchange price indicators, for fiscal years 2012 - 2017 was collected. We also used the Grasshopper Optimization Algorithm to select the best samples for better nerve network training and thus to improve the results. The results show that the proposed model can operate with lower prediction error than other models. Manuscript profile -
Open Access Article
411 - Risk and Return Properties of Portfolios Based on Directional Forecasts
Vahid RooholelmIn this study, a formula is de rived for the period specific beta (market risk) for a portfolio of financial assets that has been formed on the basis of directional forecasts. This is an important contribution to the literature since measuring the risk of an actively ma MoreIn this study, a formula is de rived for the period specific beta (market risk) for a portfolio of financial assets that has been formed on the basis of directional forecasts. This is an important contribution to the literature since measuring the risk of an actively managed portfolio is problematic due to the fact that managers may change fund risk conditional on market expectations. The period- specific nature of the measure is a significant advantage since historical fund re turns are not required and the beta is not influenced by prior fund returns’ deviations from the bench mark. The methodology employed allows for the development of a time series of fund betas that permits investigation into a number of important Empirical issues. This study is also of practical interest from the perspective of risk management and for both portfolio performance and attribution. Finally, there are many active strategies based on directional forecasts and the approach used here en com passes a significant proportion of these. The author of this article used of consultation and guidance of Rahnama Roodposhti Fereidoun, Professor and A member of the science team Islamic Azad University, Science and Research Branch ,Tehran, and thankses a lot of him. Manuscript profile -
Open Access Article
412 - Smart Buying and Selling System Design Based on a Model Consisting of a Support Vector Machine Algorithm and Theory of Trend Channel
Shapoor Mohammadi Seyyed Ali Mousavi Sarhadi Mohammad NooribakhshPredicting future prices and consequently higher returns in financial markets has been one of the most important issues. In this study, the design of intelligent systems to buy and sell based on a complex model of support vector machine algorithm and theory of tre MorePredicting future prices and consequently higher returns in financial markets has been one of the most important issues. In this study, the design of intelligent systems to buy and sell based on a complex model of support vector machine algorithm and theory of trend channel been discussed. To achieve the aim of this object, this study was performed in four main steps. In the first phase, range or limits of trend channel at different time intervals were extracted and these limits in the second phase of the experiment was predicted by the algorithm and Support Vector Machine.In the second phase in the range of channel which been predicted in period of experiment, sales strategy was defined and implemented. And in the third stage, returns from system designed with efficiency resulting from the use of buy and hold strategies were compared. In all selection criteria as a sample, Intelligent system performance based on the model of combined sales and support vector machine algorithm and theory of trend channel was better than the performance of buy and hold strategy Manuscript profile -
Open Access Article
413 - Mathematical model design for predicting bankruptcy of companies accepted in the Tehran Stock Exchange
Reza Pirayesh Hassan Dadashi Arani Mohammadreza BarzegarIn this research, five major bankruptcy predictions model to study and among the components of the five models, redesigned bankruptcy prediction is provided that consists of eight variables. The main issue in this research is that by examining the financial statements o MoreIn this research, five major bankruptcy predictions model to study and among the components of the five models, redesigned bankruptcy prediction is provided that consists of eight variables. The main issue in this research is that by examining the financial statements of listed companies in Tehran Stock Exchange we can offer a model to predict corporate bankruptcy. In order to design data from two groups of companies accepted in the Tehran Stock Exchange use the first group consists companies surveyed non-bankrupt company and second group included bankrupt company. The study period financial statements of exchange data during the years have been 2005 to 2014. The study results in relation to the ability to predict model reflects the fact that the model could be two years before the bankruptcy of companies provide accurate predictions about the crisis and bankruptcy. The results show that the predictive power of the model for one year before bankruptcy 91% and two years before the bankruptcy 83%. Manuscript profile -
Open Access Article
414 - Comparing Different Feature Selection Methods in Financial Distress Prediction of the Firms Listed in Tehran Stock Exchange
Mohammad Namazi Mostafa Kazemnezhad M. Mahdi NematollahiResearch in financial distress and bankruptcy emphasize the design of more sophisticated classifiers, and less feature (variables) selection and their appropriate methods. In this regard, the purpose of this study is to compare performance of different feature selection MoreResearch in financial distress and bankruptcy emphasize the design of more sophisticated classifiers, and less feature (variables) selection and their appropriate methods. In this regard, the purpose of this study is to compare performance of different feature selection methods in financial distress prediction of the companies listed on Tehran Stock Exchange (TSE). In this regard, we investigated and compared five feature selection methods, including t-test, stepwise regression, factor analysis, relief, wrapper subset selection and RFE-SVM feature selection. To obtain comparable experimental results (reliable comparison), three different classifiers (including neural networks, support vector machine and AdaBoost) were used in this study. In overall, the experimental results confirmed the usefulness of variable selection methods and significant difference among level (amount) of different methods performance. In other words, the application of the feature selection methods increases the mean of accuracy, and reduces the occurrence of type I and type II errors. Furthermore, the results indicated that wrapper subset selection method outperforms the other feature selection methods. Manuscript profile -
Open Access Article
415 - Checking the accuracy of learning machines in predicting stock returns using the Rough set model, Nearest neighbor and decision tree.
mohammad reza karimi pouya mehrdad ghanbari babak jamshidinavid mansoor esmaeilpourPrediction is an essential component of short and medium term planning in any business. A precise prediction can be effective in generating returns, managing cash flows, and allocating resources, enabling an investor to estimate, within a given time frame, its business MorePrediction is an essential component of short and medium term planning in any business. A precise prediction can be effective in generating returns, managing cash flows, and allocating resources, enabling an investor to estimate, within a given time frame, its business revenue and its returns. Researchers have the idea to set aside old methods, which takes expense and time, and implement new methods such as the use of learning machines. This research is of the type of research, analytical-empirical, in terms of research design, post-event, in terms of purpose, applied, in terms of implementation logic, deductive and in terms of time, longitudinal and prospective type. In this research, the algorithm model of the nearest neighbor, the Rough method and the decision tree are used to improve predictive power, cost reduction, and time prediction of stock returns. For this purpose, a sample of 113 listed companies in the Tehran Stock Exchange during a 10-year period (2006-2015) was selected from the companies listed in the Tehran Stock Exchange. The results of the research showed that all the hypotheses of this research are based on a difference in the accuracy of estimating these models in the prediction of the three dependent variables. Manuscript profile -
Open Access Article
416 - Predicting the Direction of Stock Market Prices Using Random Forest
elham gholamian sayyed mohammad reza davoodiStock market activists are the acquiring and using methods to predict future stock prices, increasing their capital gains. Therefore, it seems necessary that appropriate, correct, and scientific principles are used to determine the future price of the stock of investor MoreStock market activists are the acquiring and using methods to predict future stock prices, increasing their capital gains. Therefore, it seems necessary that appropriate, correct, and scientific principles are used to determine the future price of the stock of investor stock options.stock price prediction is an important part of investment, and in most cases it is the field of research for researchers, because it ultimately leads to the choice of appropriate investment. Different methods have now been developed to achieve this goal. Have been introduced that are often statistical methods and artificial intelligence. In this research, using a randomized approach approach that is among artificial intelligence classification methods, along with technical indicators that include: power index Relative Price, Stochastic, Equilibrium Balance, Williams R%, Daily Returns, and Mac.d Series Markets, are looking for stock price trends. This model is compared with logistic regression method and completely randomized method (dice throw). The results of the research on daily data of Tehran Stock Exchange Index from 1393 to 1395 indicate that the accuracy of the proposed method in estimating market trend is 64%, which is more than two methods of logistic regressionand completely randomized method of accuracy Has a higher rate. Manuscript profile -
Open Access Article
417 - Tehran Stock Exchange Overal Index Prediction using Combined Approach of Metaheuristic Algorithms, Artificial Intelligence and Parametric Mother Wavelet
Alireza Saranj Madjid Ghods reza tehraniUnderstanding and the investigating the behavior of stock prices, has always been one of the major topics of interest to the investors and finance scholars. In recent years, various models for prediction using neural network and hybrid models have been proposed which ha MoreUnderstanding and the investigating the behavior of stock prices, has always been one of the major topics of interest to the investors and finance scholars. In recent years, various models for prediction using neural network and hybrid models have been proposed which have a better performance than the traditional models. Here a hybrid model of neural network and wavelet transform is proposed in which genetic algorithm has been used to improve the performance of wavelet transform in optimizing the wavelet function. Daily stock exchange rates of TSE from April 21, 2012 to April 19, 2017 are used to develop a prediction model. The results show that it is possible to find a wavelet basis, which will be appropriate to the intrinsic characteristics of time series for prediction and the prediction error in this model is reduced comparing to the neural network and hybrid neural network and wavelet models. Manuscript profile -
Open Access Article
418 - The Impact of Accounting Information Quality and Monetary Policy on Bankruptcy Prediction
Mohammad Hossein Setyesh milad rahimiAbstractThis study has investigated the effect of the accounting information quality and monetary policy on bankruptcy prediction. For this purpose, a sample of 135 companies was selected from the admitted companies in the stock exchange. In order to collect the needed MoreAbstractThis study has investigated the effect of the accounting information quality and monetary policy on bankruptcy prediction. For this purpose, a sample of 135 companies was selected from the admitted companies in the stock exchange. In order to collect the needed data to calculate variables in the research, Rahvardnovin database, Tehran Stock Exchange Organization database and Central Bank database were used. Eviews software and fixed effects panel data regression model have been used to analyze the collected data. This study is useful for financial analysts, managers, accountants and policy makers in order to evaluate the financial position and predict financial bankruptcy of companies. The results of the hypothesis test show that all three hypotheses are not rejected and indicate that the accounting information quality in interaction with monetary policy has a positive and significant effect on bankruptcy prediction. The estimated coefficient of the accounting information quality in the interaction with monetary policy on predicting premature bankruptcy is lower than the coefficients of the variables accounting information quality and monetary policy on predicting premature bankruptcy, and this shows that the interaction of the accounting information quality and monetary policy has a moderating role on It has predicted premature bankruptcy. Manuscript profile -
Open Access Article
419 - stock return prediction models; Estimating the distribution of total market returns and its fluctuations based on the Laplace distribution
Masoumeh Mohammadi Ledari Iman DadashiAbstractIn most return forecasting models, the return of the total market is used as one of the factors affecting the return of securities. In most of these models, such as the pricing model of capital assets and Black-Scholes, the data distribution is assumed to be nor MoreAbstractIn most return forecasting models, the return of the total market is used as one of the factors affecting the return of securities. In most of these models, such as the pricing model of capital assets and Black-Scholes, the data distribution is assumed to be normal. This is while the distribution of the total return is not necessarily normal and often has a significant difference from the normal distribution. If such a hypothesis is confirmed, the expected return predicted by these models will not be very effective in financial decisions. The purpose of this research is to model the total return of Tehran Stock Exchange based on the Laplace distribution and examine the dependence of the total return fluctuations on the desired distribution. In order to examine the distribution of the total daily return and its weekly fluctuations, data related to a 15-year period between 1387 and 1401 and R statistical software were used. The data analysis showed that the total daily return followed the Laplace distribution and the weekly fluctuations of the total return followed the distribution obtained based on the Laplace distribution. These findings make the use of models with the assumption of normality of total return to predict stock returns in Tehran Stock Exchange a major challenge and are a clear proof of the ineffectiveness of these models. . Manuscript profile -
Open Access Article
420 - Comparison of the Efficiency of Statistical Learning Algorithms and Artificial Neural Networks to Predict Stock Prices
Alireza Sadat Najafi Soheila Sardar -
Open Access Article
421 - A Structural Equation Modeling of Factors Affecting Social Harms of Cyberspace among Male Senior High School Students in Tehran
Ali Haddadian Zahra Hazrati Some’eh Sasan VadiehWith the expansion of information technology, the social harms of cyberspace users also increase. In this research, the sociological investigation of the influencing factors of the social harms of virtual space among male adolescents in Tehran was done, which is practic MoreWith the expansion of information technology, the social harms of cyberspace users also increase. In this research, the sociological investigation of the influencing factors of the social harms of virtual space among male adolescents in Tehran was done, which is practical in terms of its nature and purpose, and descriptive-analytical in terms of its method. The sample size is 383 using Cochran's formula and with a significance level of 5%. The data were collected through a researcher-made questionnaire using the cluster and random sampling method, and in the quantitative part of the research, in order to validate the obtained model, structural equation tests were used with SmartPLS and SPSS software. The results of the research show that there is a significant relationship between the group of relatives, online addiction, anonymity, failures, lack of family attachment, national media and social harm. Also, the findings indicate that all the calculated variables, taking into account that the absolute value of the t statistic for all the relationships between the variables was greater than the critical value of 1.96 and all factor loadings in the standard mode were greater than 0.3. Thus, all variables and relationships were confirmed. Manuscript profile -
Open Access Article
422 - Predicting the success of the investment projects of Aras and Maku commercial-industrial free zones and Salmas special economic zone using perceptron multilayer neural network technique
morteza shokrzadeh mojtaba shokrzadehTo analyze the data of this research descriptive statistics and inferential statistics were used and experts selection software, MATLAB SPSS and PLS software were employed.Using theoretical foundations and libraries, six effective factors and variables predicting the su MoreTo analyze the data of this research descriptive statistics and inferential statistics were used and experts selection software, MATLAB SPSS and PLS software were employed.Using theoretical foundations and libraries, six effective factors and variables predicting the success or failure of Investment projects in the free and special economic zones of the country were identified. After describing the variables and testing the normality,using the PLS software, a confirmatory factor analysis of the variables was carried out, in which all of the factors had a good confirmatory factor analysis and all the questions were approvedThen, using linear regression and ANOVA, the effect of each of the factors on the success or failure of investment projects was investigated, and the results of this test showed confirmation of the impact of each of the factors, and then the results of the hierarchical analysis indicated this was the first rank of product and service, followed by the second-rank ,that is geographical considerations, and the characteristics of the investor's psychology, the third rank, the product market characteristics, the fourth rank, the investor's ability to rank fifth, and financial considerations ,also, earned the last rank. Considering this prioritization, the neural network used in this research contained data from 6 variables as an input variable, with two intermediate layers with 30 nodes in the first layer, and three nodes in the second layer,which had one outlet. The results indicated that the neural network model had the power to predict the success of the investment projects to1.2%of the error Manuscript profile -
Open Access Article
423 - Prediction of growth stages of soybean cultivars and lines using climatologic parameters of photoperiod and temperature in karaj region
Sharareh Nasre Esfahani Jahanfar Daneshian Ebrahim Pazira Amir hosein Shirani RadSoybean development Reproductive stage werepredicted by climatic parameters as daylength and temperature . Therefore ,fifteen soybean lines and cultivars as name as Williams, Zane, M4, M12, S.R.F, Miandoab,A3935, A3237, L17, Union, Grangelb, Clark, Tns95,Elf, Calland we MoreSoybean development Reproductive stage werepredicted by climatic parameters as daylength and temperature . Therefore ,fifteen soybean lines and cultivars as name as Williams, Zane, M4, M12, S.R.F, Miandoab,A3935, A3237, L17, Union, Grangelb, Clark, Tns95,Elf, Calland were studied in four planting dates. Soybean genotipes were usedin a RCBD in each planting dates . Daylength and temperature effect wereevaluated by planting dates levels. Flowering occurance and developmentReproductive stage duration were fitted growth degree days, photoperiod andphotothermal units in a Multiple Regression Method. The results indicated thatphotoperiod had significant effect on Maturity in all of lines and cultivars.But photothermal had positive significant effect in Williams. Therefore Itcaused to delay in Maturity if It was increased. Photothermal was calculatedfrom growth degree days by photoperiod in each days. But the photoperiod wasmore effective than gdd in time of Maturity. Growth degree days affected ontime of Maturity by photothermal and caused to promote it. Reproductivedevelopment duration of Elf was affected by gdd Manuscript profile -
Open Access Article
424 - Prediction of the GC-MS Retention Indices for a Diverse Set of Terpenes as Constituent Components of Camu-camu (Myrciaria dubia (HBK) Mc Vaugh) Volatile Oil, Using Particle Swarm Optimization-Multiple Linear Regression (PSO-MLR)
Majid Mohammadhosseini -
Open Access Article
425 - The effect of information environment on the relationship between consistency in book-tax differences and analysts’ earnings forecasts
Mohammad Salari Abarghuoi Nasim ShahmoradiPurpose: Predicting accounting earnings and its changes as an economic event has long been of interest to financial analysts and researchers.The purpose of this study is to investigate the effect of information environment on the relationship between consistency in book MorePurpose: Predicting accounting earnings and its changes as an economic event has long been of interest to financial analysts and researchers.The purpose of this study is to investigate the effect of information environment on the relationship between consistency in book-tax differences and the accuracy of analysts’ of corporate earnings forecasts.Methodology: In this study, following the research of Choi, Hu and Khondkar (2020), the information environment and the quality of analysts' forecasts in two dimensions of predictive and prediction accuracy, consistency in book-tax differences in both temporary and Permanently dimensions were calculated and regression models were tested using the Generalized Torque Model (GMM). The selected sample consisted of 69 companies listed on the Tehran Stock Exchange between 2011 and 2020.Findings: : Generally findings indicate that consistency in book-tax differences has affected the prediction accuracy of analysts' forecasts. In a way, temporary consistency has led to an increase and permanent consistency has led to a decrease in analysts' forecast prediction accuracy. In addition, consistency in book-tax differences has also affected the analysts' forecasts predictive accuracy, which has been increasing for temporary consistency and decreasing for permanent predictive consistency.The information environment has also affected both the predictive and prediction accuracy of the analysts' forecasts.Originality / Value: The obtained results have led to the expansion of the theoretical foundations in relation to the factors affecting the quality of analysts' forecasts, in two aspects: accuracy and usefulness of forecasts. And besides that, it is useful for company managers in adopting the necessary policies to create a suitable information environment. The mentioned relationships are measured bilaterally and include temporary and permanent differences in the taxes paid by companies. which provides useful information in this field for standard setters and legislators. Manuscript profile -
Open Access Article
426 - Systematic review of bankruptcy prediction models
Jaber Zahmatkesh Akram Taftiyan Mahmoud Moeinadin Amin NezaratObjective: The current research aims to systematically examine bankruptcy prediction models with the goal of developing a model that serves as a guide for selecting the most suitable tools. These tools should ideally align with the existing data and quality criteria of MoreObjective: The current research aims to systematically examine bankruptcy prediction models with the goal of developing a model that serves as a guide for selecting the most suitable tools. These tools should ideally align with the existing data and quality criteria of bankruptcy prediction models.Research Methodology: To conduct this research, a systematic search was performed on the Web of Science database using keywords such as Bankruptcy, Default, Distress, Failure, Forecasting, Predicting, Prediction, and Insolvency, spanning the years 2015 to 2023. Based on defined inclusion and exclusion criteria, this search yielded 1000 articles, out of which 49 were ultimately selected and analyzed. The findings from these articles were then summarized in tables. Subsequently, major bankruptcy prediction models were compared based on nine key criteria, and final conclusions were drawn.Findings: Artificial neural networks and support vector machines were found to have the highest accuracy, while multiple personality analysis showed the lowest accuracy. Additionally, artificial neural networks, multiple personality analysis, decision trees, and logistic regression require a large training sample to logically identify and precisely classify patterns. However, case-based reasoning, rough sets, and support vector machines can work with smaller sample sizes.Originality/ Value: The outcomes of this research contribute to a comprehensive understanding of the characteristics of tools used in developing bankruptcy prediction models and the shortcomings associated with them. Manuscript profile -
Open Access Article
427 - Nima Yushij’s Duality of Speculation and Thinking Beliefs
Hossein Shahr Aini Shahr Aini Ali Eshghi Sardehi Ali Akbar ShaiatifarThe diversity of pros and cons of Nima Yushij, among the great thinkers of Persian literature made the writers of this paper deal with studying and criticizing the duality and beliefs of Nima. The aim of this research is knowing the dual thoughts which in the span of Ni MoreThe diversity of pros and cons of Nima Yushij, among the great thinkers of Persian literature made the writers of this paper deal with studying and criticizing the duality and beliefs of Nima. The aim of this research is knowing the dual thoughts which in the span of Nima’s poetry has undergone transformation We have tried to discuss the duality of speculation of Nima. To bring some examples from his poetry as an evidence. The controversial subjects about Nima have occupied the minds of researchers for years. Some believe that he was secular, revolutionary, leftist, and seclusive; there are other people who consider him a religious Moslem, pacifist man. The findings of this research shows that his character was a combination of contraries. Sometimes we see dual or more view points in his poetry which are opposite to each other in theory and practice. Therefore, these view points and the opposite thinking leads to knowing the character and his poetry. Manuscript profile -
Open Access Article
428 - The Tohfatolloghat ; an Unknown Dictionary
Morteza Ja'fariAbstract Tohfatolloghat is a dictionary of which the only copy with the number 2708 is kept at Tehran university. Because of its missing pages in the beginning and ending the book, the name of the author and the date of its au MoreAbstract Tohfatolloghat is a dictionary of which the only copy with the number 2708 is kept at Tehran university. Because of its missing pages in the beginning and ending the book, the name of the author and the date of its authorship are unknown. The probable date of its writing is the 12th century. It has 8625 words, 1060 of them appear at the margin of the book. This dictionary has been copied in abstract from Jahangiri dictionary and besides the elimination of historical evidences and addition of synonyms, the writer has arranged the entries alphabetically and has also added compound expressions from the Borhan Ghate' in the margin of the book and got a thorough collection of the words based on rhyming letters. It has been written in nasta'ligh ( a kind of calligraphy ) and rarely has mistakes. It has been compared and collated with Farhangh Jahangiri, Borhan Ghate' and Dehkhoda encyclopedia in the process of correction and in this way it has presented a thorough list of the pronunciations of the words Borhan Ghate' and Dehkhoda dictionary lack them. There are, besides the Farsi words, some terms in Arabic, Hendi, Turkish , Roman and other languages. It also has some Arabicised words and a few terms in Shirazi, Gilani, Esfahani and Ghazwini dialects. Like the Borhan Ghate', this dictionary includes some grammatical and interpretive words entitles synonyms and antonyms and the like. Manuscript profile -
Open Access Article
429 - The Language of Mysticism and its Relationship with shat'h ( self-contradiction )
Vadood ValizadehAbstractIn this research we are to explore the reasons of discrepancy in the words of the mystics and study their language to see why shat'h has appeared. There have been numerous ideas about it and its relationship with the language. Some people believe that there is n MoreAbstractIn this research we are to explore the reasons of discrepancy in the words of the mystics and study their language to see why shat'h has appeared. There have been numerous ideas about it and its relationship with the language. Some people believe that there is no discrepancy in the real world but only it appears in speaking . Then there is no opposition, in essence, in the real world. Some experts have had the notion that the mystics have used such esoteric literature to hide the fact from the unworthy people. The others believe that it is because of the personal experiences of some mystics. Other ideas in this case have also been presented. Although each of these tenets may have its own applicability, what appeals much is that the Sufi sects , in talking about the plaintive meaning of metaphysics, had to use the ordinary expressions and it was then that shat'h became popularized. Anytime they used the implications in the sphere of eternity and immortality of man in the material life and its circumstances in society, discrepancy emerged in their works. Manuscript profile -
Open Access Article
430 - پیشبینی مود II نرخ رهایی انرژی کرنشی در کامپوزیتهای چند لایهای چند جهته
افشین زینالدینی منصور علیزادهجهتگیری الیاف یکی از مهمترین پارامترهای مؤثر بر مود دوم نرخ رهایی انرژی کرنشی در شروع جدایش بینلایهای است. از تیری با شکاف انتهایی برای اندازهگیری نرخ رهایی انرژی کرنشی در شروع جدایش بینلایهای کامپوزیتهای لایهای استفاده شده است. در واقع هدف از این تحقیق، پیشبی Moreجهتگیری الیاف یکی از مهمترین پارامترهای مؤثر بر مود دوم نرخ رهایی انرژی کرنشی در شروع جدایش بینلایهای است. از تیری با شکاف انتهایی برای اندازهگیری نرخ رهایی انرژی کرنشی در شروع جدایش بینلایهای کامپوزیتهای لایهای استفاده شده است. در واقع هدف از این تحقیق، پیشبینی مقدار نرخ رهایی انرژی کرنشی نمونه­ی چندجهته از روی نتایج تجربی مربوط به قطعه­ی تکجهته میباشد، بدون اینکه مستقیماً به آزمایشهای تجربی و مدلسازی اجزاء محدود قطعه­ی کامپوزیتی لایهای چندجهته نیاز شود. در این زمینه، روشی پیشنهاد شده که ترکیبی از روشهای پیشبینی و تحلیلی است. ضمناً نتایج بدست آمده از این روش با نتایج مدلسازی عددی و نتایج تحلیلی مقایسه شده ­است. این روش، حجم محاسبات عددی و تحلیلی و نیز هزینه­ی مطالعات آزمایشگاهی را به مقدار چشمگیری کاهش می­دهد Manuscript profile -
Open Access Article
431 - ارائه یک مدل جدید پیش بینی عمر خستگی کم چرخه آلیاژ منیزیم براساس روش انرژی کرنش پلاستیک تصحیح شده
محمد آزادی غلامحسین فرهیامروزه تکنولوژی به سمت استفاده از موادی همچون آلیاژهای منیزیم، با نسبت استحکام به وزن بالا در قطعات موتوری، تمایل دارد. بطور معمول، از انواع چدن و آلیاژهای آلومینیوم در ساخت سرسیلندر و بلوک سیلندر موتورها استفاده می­شود. اما آلیاژهای منیزیم، خواص فیزیکی و مکانیکی نز Moreامروزه تکنولوژی به سمت استفاده از موادی همچون آلیاژهای منیزیم، با نسبت استحکام به وزن بالا در قطعات موتوری، تمایل دارد. بطور معمول، از انواع چدن و آلیاژهای آلومینیوم در ساخت سرسیلندر و بلوک سیلندر موتورها استفاده می­شود. اما آلیاژهای منیزیم، خواص فیزیکی و مکانیکی نزدیکی به آلیاژهای آلومینیوم داشته و تا حدود 40 درصد وزن را کاهش می­دهند. در این مقاله، یک مدل جدید پیش­بینی عمر خستگی کمچرخه برای آلیاژ منیزیم، بر اساس روش انرژی ارائه شده و به جهت تدوین آن، از نتایج آزمون خستگی کمچرخه روی نمونه­های منیزیمی استفاده شده است. این مدل در مقایسه با دیگر تئوریهای موجود، از پارامترهای مادی کمتری برخوردار است و دارای دقت مناسب­تری می­باشد؛ چراکه در روش انرژی، از رابطه عمر- کار پلاستیک که معادل با ضرب همزمان عددهای تنش و کرنش پلاستیک می­باشد، استفاده می­شود. با توجه به خواص نرم شوندگی آلیاژهای منیزیم و آلومینیوم, انرژی کرنش پلاستیک می­تواند انتخاب مناسبی باشد؛ چراکه در چرخه بارگذاری خستگی، عدد حاصل ضرب تنش در کرنش پلاستیک می­تواند ثابت بماند. همچنین، اثر تنش میانگین بصورت یک ضریب تصحیح در مدل پیش­بینی عمر خستگی کمچرخه اعمال شده است. نتایج حاصل از مدل ارائه شده، تطابق خوبی را با نتایج آزمون نشان می­دهد. Manuscript profile -
Open Access Article
432 - A hybrid bankruptcy prediction model based on GMDH-type neural network and genetic algorithm for Tehran Stock Exchange companies
hosain vazifehdost tayebeh zangenehThis paper proposes a Soft Computing model for effective bankruptcy prediction, based on the integration of Group Method of Data Handling (GMDH) neural network and genetic algorithm which is called here as GA-GMDH. Genetic algorithm (GA) designs the whole architec MoreThis paper proposes a Soft Computing model for effective bankruptcy prediction, based on the integration of Group Method of Data Handling (GMDH) neural network and genetic algorithm which is called here as GA-GMDH. Genetic algorithm (GA) designs the whole architecture of the GMDH network and optimizes its topology. In order to demonstrate the effectiveness of our proposed GA-GMDH model, its performance was compared with performance of the commonly used statistical techniques of logistic regression (LR) and a relatively new artificial intelligent technique of Adaptive Neuro-Fuzzy Inference System (ANFIS). Performance of the designed prediction models depends on the utilized variable selection technique. Therefore, we constructed 12 prediction models through combining the four filtering feature selection methods and the three prediction models. The four feature selection methods of independent samples T-test, correlation matrix (CM), stepwise multiple discriminant analysis (SDA) and principal component analysis (PCA)are combined with prediction models to generate four optimal feature subsets. Empirical data were collected one year prior to failure from Tehran Stock Exchange (TSE) during 1997-2008. For robust assessing of prediction models’ performance, we applied Type-I and Type-II errors, and area under the receiver operative characteristics curve (AUC) measures. Experimental results indicate that our proposed GA-GMDH model has high ability in bankruptcy prediction problem and significantly outperforms ANFIS and LR models in all combinations with four feature selection methods. Meanwhile, the CM method has the best ability in selecting predictive variables in comparison with other feature selection methods. Therefore, CM-GA-GMDH model is determined as the best constructed model for bankruptcy prediction using our particular dataset from TSE. Manuscript profile -
Open Access Article
433 - An Interval Type-2 Fuzzy LSTM Algorithm for Modeling Environmental Time-Series Prediction
Aref Safari Rahil Hosseini -
Open Access Article
434 - A sociological reading on internet addiction researches in Iran
mohsen niazi abbas sadri sajad sarhadi sajad moradiToday, the media technology as one of the most important change agendas, has been so much ingrained in people's lives in different societies that ignorance and neglecting it would cause a great disturbance in society and different social, cultural, political and economi MoreToday, the media technology as one of the most important change agendas, has been so much ingrained in people's lives in different societies that ignorance and neglecting it would cause a great disturbance in society and different social, cultural, political and economic aspects of it. Internet as one of the great achievement of mankind in the field of communication technology is no exception and has had a profound impact on human life in different societies, including advanced societies and undeveloped countries, from the beginning of time. The main question of the current study is that the researches of the last five years in Iran in the field of addiction are in which articulation according to their discourse. The method of this research is text analysis. Its statistical society is the articles which have been published between 2010 to 2015 in the field of internet addiction. The sampling method is theoretical saturation. Sample size is 20 articles. The results show that the issue of internet addiction has been analyzed more by medical science and psychology and social science and communication science have been discourses ignorance. Also they show that this phenomenon is generally considered as a disease. Individualizing the internet addiction issue and isolating it from other social contexts of the phenomenon are another feature of these researches in Iran. Manuscript profile -
Open Access Article
435 - Internal Disputes in the Political Structure and Challenges of Cultural Reproduction in the Islamic Republic of Iran
hojat kazwmi gholamreza basirniya After the victory of Islamic revolution; a system was enacted that claimed to educate human beings and Islamize all social affairs and all fields of society. Aimed at realizing these goals; various policies were made and came into force. Despite many More After the victory of Islamic revolution; a system was enacted that claimed to educate human beings and Islamize all social affairs and all fields of society. Aimed at realizing these goals; various policies were made and came into force. Despite many efforts; now it is obvious that the intended cultural objectives of Islamic republic of Iran have not been expectedly realized. This paper intends to investigate why there has been a challenge to the cultural reproduction process in the Islamic republic of Iran during the past three decades. The researchers have used a qualitative method and documentary studies and focused on the pluralization of internal structure of political system and its challenges to formulate, interpret, and administrate a consistent and efficient cultural policy. The studies indicate although there has been a relatively certain cultural pattern; cultural policies of Islamic republic of Iran in the last three decades were trapped both in compiling and administration levels and engaged in a disintegration and continuous ruptures and internal contradictions. Domination of this kind of conditions in the cultural policies will not be understood unless by putting the current trend of compiling and administration of cultural policies in the ground of political structure, internal contradiction and discourse disputes. Manuscript profile -
Open Access Article
436 - Developing and Validating the Media Literacy Training Program and Determining its Effectiveness on Reducing Internet Addiction and Improving the Quality of Life of Karaj Teenagers
Fereshteh Bahrami Esmaeil saadipour Akbar NasrollahiThe purpose of this study was to develop and validate a media literacy training program and determine its effectiveness in reducing Internet addiction and improving the quality of life of teenagers in Karaj. In the present study, the development of the educational progr MoreThe purpose of this study was to develop and validate a media literacy training program and determine its effectiveness in reducing Internet addiction and improving the quality of life of teenagers in Karaj. In the present study, the development of the educational program, the qualitative part and the evaluation of the effectiveness of the educational program had a quantitative part. In the qualitative part, it was a type of thematic analysis with a sequential exploratory design and in a quantitative part, it was a semi-experimental type with a pre-test-post-test design with a control group. The statistical population included teenager students aged 15 to18 years in Karaj in 1397, which was a sample of 400 teenagers who were diagnosed with Internet addiction using the Internet Addiction Questionnaire, of which 40 were randomly selected and randomly assigned to the experimental and control groups. For the teenagers in the experimental group, a media literacy training program was conducted in 10 sessions, each session lasting one hour. Data analysis was performed using multivariate and univariate analysis of covariance. The results showed that media literacy training significantly reduced Internet addiction in the experimental group participants. Education also had a significant effect on quality of life and its components; But in the components of social functioning, emotional problems and physical pain were not significantly effective. Based on the findings of the present study, it can be concluded that the media literacy training program can be used as an effective intervention to reduce Internet addiction and increase the quality of life of teenagers Manuscript profile -
Open Access Article
437 - Feasibility study of the jurisdiction of the International Criminal Court against terrorism
Maryam valizadeh yosef almasi Farhad ZereshkiTerrorism is one of the international crimes that as a not-so-emerging phenomenon has been able to disrupt international order and security by using the factor of fear and attacking the civilian population. This shows the need to deal with it. These include the drafting MoreTerrorism is one of the international crimes that as a not-so-emerging phenomenon has been able to disrupt international order and security by using the factor of fear and attacking the civilian population. This shows the need to deal with it. These include the drafting of the Rome Convention by governments to combat international crimes and gross violations of humanitarian law. Based on this, the question arises whether the International Criminal Court, within the framework of its statute, has the possibility of dealing with terrorist crimes? A look at the terrorist acts committed by terrorist groups can provide us with a list of examples of terrorist acts that can be applied to domestic crimes within the jurisdiction of the Court. Accordingly, although the crime of terrorism is not within the jurisdiction of the Court (Article 5) Compared to other crimes mentioned in this article, it can be prosecuted. However, in terms of territorial, temporal, personal and complementary jurisdiction, there are limitations for criminal proceedings by the International Criminal Court. Manuscript profile -
Open Access Article
438 - Possibility of the Economic Prediction Model based on the Smart Algorithm of the Smart City
mahsa khodadadi Larissa Khodadadi روزبه دبیریSmart cities make better use of space and have less traffic, cleaner air and more efficient city services and improve people's quality of life. The large number of vehicles that are constantly moving through congested areas in smart cities complicates the availability o MoreSmart cities make better use of space and have less traffic, cleaner air and more efficient city services and improve people's quality of life. The large number of vehicles that are constantly moving through congested areas in smart cities complicates the availability of a public parking space. This creates challenges for both traffic and residents. With such a large population, road congestion is a serious challenge. It wastes vital resources like fuel, money and most importantly time. Finding a suitable place to park is one of the reasons for traffic jams on highways. This paper proposes an economic forecasting model based on deep learning for long-term economic growth in smart cities. Traffic management is vital for cities in that it ensures that people can move freely around the city. Many cars trying to reach congested areas in smart cities make it difficult to find a public parking lot. This issue is inconvenient for both drivers and residents. A number of traffic management authorities have implemented an artificial neural network to solve this problem, and modern car systems have come with smart parking solutions. The experimental result of the economic forecasting model based on deep learning improves traffic estimation, accurate prediction of traffic flow, traffic management and intelligent parking compared to existing methods Manuscript profile -
Open Access Article
439 - Comparison of emotional-behavioral problems in adolescent and young children of addicted and non-addicted parents
کامران زرکی نسترن شریفی مهرداد ثابتBackground and Aim: Parental substance abuse is so serious that it affects the well-being and health of the family and is a family disease caused by lifestyle that is affected by environmental, familial and genetic causes. Parental addiction is not only an individual pr MoreBackground and Aim: Parental substance abuse is so serious that it affects the well-being and health of the family and is a family disease caused by lifestyle that is affected by environmental, familial and genetic causes. Parental addiction is not only an individual problem but also causes other family members, especially adolescents and young people, with psychological, physical and social problems. Manuscript profile -
Open Access Article
440 - Psychometric properties of Internet addiction test and its relationship with aggression among 20-30-year-old youth in Tehran
Saeed Almasi Rita Liaghat Morteza HoseiniThe excessive and inaccurate use of the Internet poses the risk of "Internet addiction" (Young, 1998). The purpose of this study was to determine the psychometric properties of Young's Internet addiction test and its relationship with aggression among 20-30-year-old you MoreThe excessive and inaccurate use of the Internet poses the risk of "Internet addiction" (Young, 1998). The purpose of this study was to determine the psychometric properties of Young's Internet addiction test and its relationship with aggression among 20-30-year-old youth in Tehran. For this purpose, all of the 20-30 year-olds in Tehran who were living in one of Tehran's districts in 1394 participated in this study and424 people selected by available sampling method. For data collection, demographic questionnaire, Yang's Internet addiction and bass and perception aggression were used. For data analysis, internal consistency, exploratory, confirmatory factor analysis and correlation analysis were used by SPSS and AMOS software. The Cronbach's alpha coefficient of the whole test is 0.94 indicating the intrinsic consistency and expression of the excellent value of Internet addiction. To determine the factors, exploratory factor analysis was performed and finally, three factors were named as difficulty in control, social problems and control impairment. To determine the best model for data of this research, a confirmatory factor analysis was used and according to the fit indices it was concluded that the 3 factor extractive model of this research is better fitted with the data. Finally, according to the findings of this study, Young's Internet addiction test has good psychometric properties, but has no relation to aggression. Manuscript profile -
Open Access Article
441 - Psychometric properties of Internet Addiction Questionnaire and its relationship with Basic psychological needs
Javad Shahbazi Malek Mirhashemi خدیجه ابوالمعالی الحسینیSince the introduction of the Internet, the pace of changes in life has increased significantly. Addiction to the Internet can cause fundamental changes in human life. Due to the importance of the subject in this research, the psychometric properties of Young's Int MoreSince the introduction of the Internet, the pace of changes in life has increased significantly. Addiction to the Internet can cause fundamental changes in human life. Due to the importance of the subject in this research, the psychometric properties of Young's Internet Addiction Questionnaire and its relationship with Basic psychological needs were determined. The statistical population is the students of Roudehen University in 1400, of which 481 people were investigated by multi-stage random sampling method. Young's Internet Addiction Questionnaire and Desi and Ryan's Basic Psychological Needs Questionnaire were used to measure the research variables. SPSS and AMOS software were used for data analysis. Cronbach's alpha coefficient value of 0.928 of the whole internet addiction test showed that the internal consistency and in other words the validity of the questionnaire is very high. In order to analyze the factors, an exploratory factor analysis was performed, as a result of which, three factors of tolerance were extracted as the first factor, salience as the second factor, and mood change as the third factor. Finally, the structural model of the relationship between basic psychological needs and Internet addiction was fitted and the inverse and significant relationship between basic psychological needs and Internet addiction was determined. Also, a significant relationship was found between all components of basic psychological needs and internet addiction with the main variable. Manuscript profile -
Open Access Article
442 - The Effectiveness of Acceptance and Commitment Terapy Psychiatric Well-Being of Metadone-Maintained Drug Addicts Treated
sareh peyman mahin askari abdolvahab samavi, azita amirfakhraei,Drug addiction as a psychiatric disorder with biological, psychological, social and spiritual dimensions is one of the problems of the present age.drug use and the phenomenon of addiction it is a chronic and reversible phenomenon that causes serious physical, financial, MoreDrug addiction as a psychiatric disorder with biological, psychological, social and spiritual dimensions is one of the problems of the present age.drug use and the phenomenon of addiction it is a chronic and reversible phenomenon that causes serious physical, financial, family and social harm. People who abuse drugs are often unable to cope with their problems and have a low degree of psychological well- being. For this reason many studies have been done in this fild so that treatment methods can be as successful as possible to help infected person and reduce the disease as much as possible.The aim of this study includes the effectiveness of community-wide psychological therapies for addiction treatment. Is rooted. Which includes addicted people. The aim of this study was to compare the effectiveness of Acceptance and Commitment Therapy (ACT) on psychological well-being in methadone maintenance (MMT) addicts in Shiraz addiction treatment centers. The results of analysis of covariance indicate that treatment with acceptance and commitment therapy based on increases psychological well-being in addicts (P <0.05). The above results show that the treatment based on acceptance is an effective treatment for the recovery of patients with addiction and this method can be used along with other drug methods.Keywords: addiction, Acceptance and Commitment Therapy, psychological well-being. Manuscript profile -
Open Access Article
443 - Psychometric properties of Internet addiction test and its relationship with aggression among 20-30-year-old youth in Tehran
Saeed Almasi Rita Liaqat Morteza HosseiniThe excessive and inaccurate use of the Internet poses the risk of "Internet addiction" (Young, 1998). The purpose of this study was to determine the psychometric properties of Young's Internet addiction test and its relationship with aggression among 20-30-year-old you MoreThe excessive and inaccurate use of the Internet poses the risk of "Internet addiction" (Young, 1998). The purpose of this study was to determine the psychometric properties of Young's Internet addiction test and its relationship with aggression among 20-30-year-old youth in Tehran. For this purpose, all of the 20–30-year-olds in Tehran who were living in one of Tehran's districts in 1394 participated in this study and424 people selected by available sampling method. For data collection, demographic questionnaire, Yang's Internet addiction and bass and perception aggression were used. For data analysis, internal consistency, exploratory, confirmatory factor analysis and correlation analysis were used by SPSS and AMOS software. The Cronbach's alpha coefficient of the whole test is 0.94 indicating the intrinsic consistency and expression of the excellent value of Internet addiction. To determine the factors, exploratory factor analysis was performed and finally, three factors were named as difficulty in control, social problems and control impairment. To determine the best model for data of this research, a confirmatory factor analysis was used and according to the fit indices it was concluded that the 3-factor extractive model of this research is better fitted with the data. Finally, according to the findings of this study, Young's Internet addiction test has good psychometric properties, but has no relation to aggression Manuscript profile -
Open Access Article
444 - Development and standardization of a questionnaire to identify people at risk of addiction and substance use based on questionnaires of five-factor model of personality, emotional intelligence and resilience
Hashem JebraeileAbstract Introduction: Given the importance of identifying people at risk of addiction and substance use and necessity of provide valid measurement tools in thisarea, present study aimed to development and standardization of a questionnaire to identify people at risk of MoreAbstract Introduction: Given the importance of identifying people at risk of addiction and substance use and necessity of provide valid measurement tools in thisarea, present study aimed to development and standardization of a questionnaire to identify people at risk of addiction and substance use based on questionnaires of five-factor model of personality, emotional intelligence and resilience. Materials and Methods:The number of 300 (124 mal and 176 female) students were selected through available sampling from Kharazmi university and were assessed employing questionnairesof NEO personality, Bradberry- Greaves'emotional intelligence, Conner and Davidson' Resiliency, and Weed and Butcher'tendency to addiction. Data were analyzed based on Cronbach's alpha test, Pearson correlation coefficient and exploratory factor analysiswith using 22 vesion of SPSS software. Results:The results of the analysis led to the extraction of four factors, each of which had six indecators. Internal consistency reliability was operating in a range from 0/66 to 0/86. Criterion validity by examining the association between scores of the factors and tendency to addiction showed significant negative correlation between the tendency to addiction and first factor (r=-0.39, P<0.01), second factor (r=-0.30, P<0.01), third factor (r=-0.44, P<0.01), fourth factor (r=-0.40, P<0.01) and total scores ofextracted questionnaire (r=-0.57, P<0.01). Conclusion:Big five personality factores, emotional intelligence and resiliency not only significantly associated with addiction and substance use, also they are related structures that analysis of underlying components of them led to extractionof four factors that hadhigh validity and reliability, and can be used to predict vulnerability to addiction and substance use. Manuscript profile -
Open Access Article
445 - Epic Archaism (Distinct feature of the style used in Qaysarnameh written by Adib Pishavari)
safa kazemian moghadam Farzad GhaemiEpic Archaism (Distinct feature of the style used in Qaysarnameh written by Adib Pishavari) *Safa Kazemian Moghadam PhD student, Persian language and Literature, Ferdowsi University, Mashhad, Iran. **Farzad Ghaemi Assistant Professor, Persian language and l MoreEpic Archaism (Distinct feature of the style used in Qaysarnameh written by Adib Pishavari) *Safa Kazemian Moghadam PhD student, Persian language and Literature, Ferdowsi University, Mashhad, Iran. **Farzad Ghaemi Assistant Professor, Persian language and literature, Ferdowsi University, Mashhad, Iran. Date of reception: 96/10/11 Date of acceptance: 96/12/6 Abstract Epic archaism is the simultaneous employment of epic as an influential and elevated style mingled with a form of archaism which lead to the sublimity of poet’s language. Qaysarnameh composed by Adib Pishavari is a complete example of using epic as a model blended with archaism as far as diction, syntax, and rhetoric are concerned. This historic epic more than any other works in its era had remained devoted to the linguistic and literary traditions of his ancestors. Adib Pishavari has made tremendous effort to preserve Khorasani language. Inspired by Shahnameh and using it as a model he took profound care to adhere to its style. Archaism is one of the main reasons for preservation of epic language in Qaysarnameh. This research studies different aspects of epic archaism in this work. This quality in Adib’s poetry had found stylistic individuality in terms of diction, syntax and rhetoric. Making words with new political, social, and military expressions, representation of Khorasani syntax and creation of compound images based on the ancient epic similes are among the principle features found in Qaysarnameh. * . safakazemian@gmail.com ** . farzadghaemi@gmail.com Manuscript profile -
Open Access Article
446 - Analysis of contradiction in recreating the epic mythic narrative of “Yousht e Fryan”
Ebrahim Vasheghani Farahani Saied Mehri Masoud Mohammadi La’l AbadiIn the decades of 1320 and 1330 HJ, the heavy burden of defeat, agony of retracing the past, and feeling of anxiety for future events led Iranian intellectual authors to variety of escapes. The authors of this lost generation attempt to console their readers by se MoreIn the decades of 1320 and 1330 HJ, the heavy burden of defeat, agony of retracing the past, and feeling of anxiety for future events led Iranian intellectual authors to variety of escapes. The authors of this lost generation attempt to console their readers by seeking refuge to mythical narratives and allegorical stories. In this period, authors pay particular attention to myths because of their unfamiliarity and vagueness. In order to recreate character and boost the spirit of the repressed society myths are retold and reinvented. Ehsan Tabari is a contemporary Persian author whose musings in the field of philosophy and his preoccupations with political activities has cast a shadow over his literary creations hence his works are less analyzed in terms of literary theories. Philosophically speaking, he belongs to a realist movement. In his narrative works alongside showing reality he utilizes irony. The tendency towards irony is due to the harsh political climate in Pahlavi era and for this reason the manner of expression in his stories becomes allegorical. Whenever irony is injected into a literary work, one can anticipate the presence of contradiction and contradictory thoughts. Contradiction can be regarded as a device among the variety of insulting ironies which appear in many kinds of literary devices. The purpose of this article is to examine the manifestations of contradiction in the story of Yousht Fryan by Tabari. Yousht Fryan is a legendary tale which appears in Tabari’s book of Magic Journey. In this work, the author by defamiliarizing mythical concepts turns to contradiction. Since this story lends itself to different interpretations, after defining contradiction and its characteristics using the analytic method, the standpoint of this story from the perspective of literary theories such as structuralism, deconstruction, and also discourse logic is examined Manuscript profile -
Open Access Article
447 - The Prediction of adolescence orientation to addiction, based on personality characteristics and parenting styles in order to present a model for prevention
Hamzeh Ganji Maryam Rahnamaei Hassan Pasha SharifiAdolescence, is a critical period which is always associated with the process of identity formation. Part of this growth process is seeking danger which is shown in the shape of unhealthy sexual behavior, alcohol, tobacco and other items. Personality characteristics and MoreAdolescence, is a critical period which is always associated with the process of identity formation. Part of this growth process is seeking danger which is shown in the shape of unhealthy sexual behavior, alcohol, tobacco and other items. Personality characteristics and parenting styles in the critical period of adolescence can provide a context for an orientation to addiction. The purpose of this study was to present a model to predict the adolescent’s orientation to addiction based on personality characteristics and parenting style. For this purpose, in a descriptive study, 500 boys and girls high school students were randomly selected from Qazvin city. They were tested in terms of orientation towards addiction, five major factors of personality and parenting style. Results of regression analysis indicated that there is a significant difference among the mental-neuroticism, openness to experience, having conscientiousness and parenting styles (Permissive, autocratic, authoritative) with the attitude of students in relation to addiction. Considering the obtained model, with increased scores in these variables, the odds of a positive attitude to substance use will increase. It seems that personality traits and parenting styles have a significant difference with attitudes towards addiction in male and female students. They can be effective in preventing orientation towards addiction. Manuscript profile -
Open Access Article
448 - Developing Motivational Enhancement Therapy Guide and Comparing its Effectiveness with Behavioral Activation Treatment on Addiction Severity among Substance Abuse Patients
ilnaz sajjadian atefe Khaliliyan GHolam Reza ManshaeeAddiction is one of the issues of human societies that has created a lot of individual, social, moral, cultural, economical and health problems. The purpose of this study was to develop a guide of motivational enhancement therapy and compare its effectivenes MoreAddiction is one of the issues of human societies that has created a lot of individual, social, moral, cultural, economical and health problems. The purpose of this study was to develop a guide of motivational enhancement therapy and compare its effectiveness with behavioral activation treatment among substance abuse patients. For this purpose in a combined research, in order to develop a motivational enhancement therapy guide qualitative method of deductive content analysis was used. Specialized agreement was obtained for treatment guide above %90. After the formulation of the package in a preliminary study the operational validity of the package was confirmed. Then during a quasi-experimental study with pre- test, post- test and control group were selected 45 people with substance abuse in a targeted manner and randomly in two experimental groups and one control group of 15 individuals were assigned. Motivational enhancement therapy over 8 sessions and behavioral activation treatment over 18 session was performed on experimental groups. at the beginning and end of treatment were assessed for their severity of addiction .The results of covariance analysis showed that motivational enhancement therapy and behavioral activation treatment booth reduce the severity of addiction in people with substance abuse and to influence different aspects of life these people are useful. Manuscript profile -
Open Access Article
449 - Prediction of Social Network Addiction Based On Maladaptive Schemas & Cognitive Distortions by Mediating Family's Emotional Atmosphere Variable in Students
Samaneh Bour mohammad reza belyad Masoumeh ZhianbagheriSocial networks are a new generation of possible new resources, and by using the way they can allow you to do so, they can move in their own way in the virtual world with your consent, so that they can enjoy different perspectives. The purpose of this study was to predi MoreSocial networks are a new generation of possible new resources, and by using the way they can allow you to do so, they can move in their own way in the virtual world with your consent, so that they can enjoy different perspectives. The purpose of this study was to prediction of social network addiction based on maladaptive schemas & cognitive distortions by mediating family's emotional atmosphere variable in students. For this purpose, in a descriptive correlational study, 348 female students of the Faculty of Psychology, Islamic Azad University, Karaj Branch were selected by available sampling method and in terms of social network addiction, early maladaptive schemas, cognitive distortions and emotional atmosphere of the case family were evaluated. The Evaluation of standard coefficients of research showed that the variable of maladaptive Schemas was 62% (β = 0.62) and the cognitive distortions were 20% (β = 0.20). The effect of Family's Emotional Atmosphere. It was also found that the family emotional climate variable had a 74% effect on social network addiction (β = 0.74). People with mental-emotional vacuum within themselves, with tendencies Extreme social networks respond artificially to their vacuum and need. Manuscript profile -
Open Access Article
450 - The evaluation of Structural Relation in Temparement-character ,Alexithymia and Percieved Stress with Addiction Preparation in University Students
Mansor Beyrami Jalil Babapoor Toraj Hashemi saeedeh khalilzad behruzianThe Temparement is one’s behavioral manner that determines specific reactions and includes functional organization that formed by different systems and logical comprehension about self, others and world. The main feature of alexithymia is dif MoreThe Temparement is one’s behavioral manner that determines specific reactions and includes functional organization that formed by different systems and logical comprehension about self, others and world. The main feature of alexithymia is difficulty in identifying emotion and adjusting of emotional reactions in confrontation with emotional events. The aim of this study was to investigate of Structural Relation in Temparement-character ,Alexithymia and Percieved Stress with Addiction Preparation in University Students. for this reason in during the descriptive-correlation study , 348 student were selected by convenience sampling method and assested in Temparement -character Alexithymia, Percieved Stress and Addiction Preparation .the results of confirmatory factor analysis and structural equation modeling indicated that the measured model with the conceptual model has favorable fit. There was positive significant effect of alexithymia and perceived stress on addiction preparation and also there was positive and significant effects of novelty seeking, reward dependence and harm avoidance on addiction preparation. And the negative significant effects of self-directedness and self-transcendence on addiction preparation.This study is supporting that alexithymia, perceived stress and Temparement-character factors is Predisposing factors in preparation to addiction. Manuscript profile -
Open Access Article
451 - The effectiveness of schema therapy on adaptive and maladaptive strategies of cognitive regulation of emotion and psychological well-being in addicted individuals undergoing preservation treatment with methadone
sareh peyman Mahin Askari Abdolvahab Samavi azita amirfakhraeiSchema therapy identifies drug addiction as a primary disorder and considers the activation of primary maladaptive schema and maladaptive avoidance to be an important factor in increasing the relapse of drug dependence among addicted people. The aim of this research was MoreSchema therapy identifies drug addiction as a primary disorder and considers the activation of primary maladaptive schema and maladaptive avoidance to be an important factor in increasing the relapse of drug dependence among addicted people. The aim of this research was to investigate the effectiveness of schema therapy on adaptive and maladaptive strategies of cognitive regulation of emotion and psychological well-being in addicted individuals undergoing methadone preservation treatment. For this purpose, during a semi-experimental research with pre-test, post-test and control group, 40 addicts undergoing preservation treatment with methadone in Shiraz addiction treatment centers were selected by convenince sampling method and randomly divided into two groups of 20 including the control group and the schema therapy group. Subjects were evaluated at the beginning and end of the study in terms of cognitive regulation of emotion and psychological well-being. The results of multivariate covariance analysis showed that schema therapy increases the adaptive strategy of cognitive regulation of emotion and decreases the score of incompatible strategy of cognitive regulation of emotion and increases psychological well-being. It can be concluded that schema therapy is an effective treatment for the recovery of patients suffering from addiction and this treatment method can be used along with other medicinal methods. Manuscript profile -
Open Access Article
452 - Criminal liability of children and adolescents in Iranian and English jurisprudence
Nasim SaghiriThis article aims to investigate the criminal liability policies for children in Iran and England, with the goal of understanding the gradual or immediate nature of juvenile criminal responsibility, the investigative and prosecutorial process for juvenile crimes, and ho MoreThis article aims to investigate the criminal liability policies for children in Iran and England, with the goal of understanding the gradual or immediate nature of juvenile criminal responsibility, the investigative and prosecutorial process for juvenile crimes, and how these two legal systems respond to crimes committed by minors. In Iran's legislative policy, criminal responsibility is gradual, with the age of 9 as the starting point for partial criminal responsibility and the age of 18 as the beginning of full criminal responsibility, primarily for crimes subject to hadd and qisas (retaliation) punishments. In contrast, in England's criminal policy, gradual criminal responsibility is applied to all crimes, considering the age of 10 as the threshold for relative criminal responsibility.The emphasis on specialized juvenile courts in Iran and the right of police and prosecutors to intervene in investigations and prosecutions in all cases in the English legal system, as well as the detention of juveniles in both legal systems, are among the findings of this research. In terms of responses to juvenile crimes in both legal systems, we observe rehabilitative approaches and diversion policies, although the diversity of punitive responses in the English legal system has made it more capable of achieving a desirable level of proportionality between the crime and punishment compared to the Iranian legal system. Manuscript profile -
Open Access Article
453 - Predicting internet based psychological well-being, psychological distress, emotion regulation and loneliness in adults.
khadije zare Somayyeh Rostampor امید امانیInternet addiction is a serious public health problem worldwide. Recent studies indicate the increasing trend of this addiction in adults; Therefore, the present study was conducted in order to predict Internet addiction based on psychological well-being, psychological MoreInternet addiction is a serious public health problem worldwide. Recent studies indicate the increasing trend of this addiction in adults; Therefore, the present study was conducted in order to predict Internet addiction based on psychological well-being, psychological distress, emotion regulation, and feelings of loneliness in adults. The current research method is a description of the correlation type and the sample of the study was 200 adult citizens of Tabriz city in 1400-1401 as available sampling. Internet addiction questionnaires by Young (1998), Riff's psychological well-being (2002), Kessler's psychological distress (2002), difficulty in emotion regulation by Ramer and Gratz (2004) and Russell's feeling of loneliness (1996) were used to collect data. It was analyzed using Pearson's correlation test and multiple linear regression analysis. The results showed that among the four predictive variables (variables of psychological well-being, psychological distress, emotion regulation and loneliness of adults), three variables of psychological well-being, psychological distress and emotion regulation were able to predict Internet addiction (p<0.05). The direction of the relationship between psychological well-being and Internet addiction was negative, and the direction of the relationship between psychological distress and emotion regulation and Internet addiction was positive. Findings showed that loneliness could not predict Internet addiction. The findings of the present research show the importance of psychological variables such as psychological well-being, psychological distress, emotion regulation, in explaining addictive behaviors such as Internet addiction in adults. Manuscript profile -
Open Access Article
454 - Evaluation and Prediction of W/C Ratio vs. Compressive Concrete Strength Using A.I and M.L Based on Random Forest Algorithm Approach
R. JamalpourConcrete, an artificial stone composed of cement, aggregate, water, and additives, is extensively utilized in contemporary civil projects. A pivotal characteristic of concrete is its capacity to efficiently serve various purposes and structural requirements. Cement, wat MoreConcrete, an artificial stone composed of cement, aggregate, water, and additives, is extensively utilized in contemporary civil projects. A pivotal characteristic of concrete is its capacity to efficiently serve various purposes and structural requirements. Cement, water, aggregate, and additives are pivotal parameters wherein even minor alterations can significantly impact concrete strength. Among these parameters, the Water/Cement (W/C) ratio holds particular significance due to its inverse correlation with strength. Traditionally, predicting concrete strength solely based on the water-to-cement ratio has been challenging. However, with advancements in AI and machine learning techniques coupled with ample data availability, accurate strength prediction is achievable. This paper presents an analysis of a diverse dataset comprising various concrete tests utilizing machine learning methodologies, followed by a comparative examination of the outcomes. Furthermore, this study scrutinizes a renowned dataset encompassing 1030 experiments, featuring diverse combinations of cement, water, aggregate, etc., employing artificial intelligence and machine learning techniques. Model accuracy and result fidelity are evaluated through rigorous sampling methodologies. Initially, the dataset is subjected to analysis utilizing the linear regression algorithm, followed by validation employing the random forest algorithm. The random forest algorithm is employed to predict the water-to-cement ratio and corresponding compressive strength for concrete with a density of 300 kg/m3. Notably, the obtained results exhibit a high level of concordance with experimental and laboratory findings from prior studies. Hence, the efficacy of the random forest algorithm in concrete strength prediction is established, offering promising prospects for future applications in this domain. Manuscript profile
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