List of Articles predicted

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  1 - Optimization and Prediction Changes of Groundwater Quality Parameters Using ANN+PSO and ANN+P-PSO Models (Case Study: Dezful Plain)
  Fahimeh Sayadi Shahraki Abdolrahim hooshmand Atefeh Sayadi Shahraki
  10.30495/jest.2021.11146
  Background and Objective: One of the main aims of water resource planners and managers is the estimation and prediction of groundwater quality parameters to make managerial decisions. In this regard, many models have been developed which proposed better managements in o More

  Background and Objective: One of the main aims of water resource planners and managers is the estimation and prediction of groundwater quality parameters to make managerial decisions. In this regard, many models have been developed which proposed better managements in order to maintain water quality. Most of these models require input parameters which are hardly available or their measurements are time consuming and expensive. Among them, Artificial Neural Network (ANN) models inspired by human's brain are a better choice.Method: The present study stimulated the groundwater quality parameters of Dezful plain including Sodium Adsorption Ratio (SAR), Electrical Conductivity (EC), Total Dissolved Solids (TDS), using ANN+PSO and ANN+P-PSO models and in the end is comparing their results with measured data. The input data for TDS quality parameter consist of EC, SAR, pH, SO4, Ca, Mg and Na, for SAR including the TDS, pH, Na, Hco3 and quality parameter of EC contains So4, Ca, Mg, SAR and pH, gathered from 2011 to 2015.Findings: The results indicated that the highest prediction accuracy of quality parameters of SAR, EC and TDS is related to the ANN+P-PSO model so that the MAE and RMSE statistics have the minimum and  has the maximum value for the model. The results showed that RMSE for PSO in predicting SAR, EC and TDS were 0.09, 0.045 (µs/cm) and 0.053 (mg/l) in testing period, respectively. These statistical criteria were 0.039, 0.031 (µs/cm) and 0.045 (mg/l) for P-PSO in this period, respectively.Discussion and Conclusion: The results showed that P-PSO had more accuracy compared to PSO. In addition, there were no significant differences between ANN and collecting values. So, it is recommended that ANN were applied to determine nitrate concentration in groundwater.  Manuscript profile
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  2 - Evaluation Fundamental based risk model in predicting stock prices
  Ehsan kamali Seyyed Abbas Hashemi Dariush Foroughi
  How to measure the risks is one of the most challenging issues in the stock valuation models. This study is designed based on a new methodology for risk measurement in valuation models based on fundamental factors related. Therefore beta of excess equity returns and bet More

  How to measure the risks is one of the most challenging issues in the stock valuation models. This study is designed based on a new methodology for risk measurement in valuation models based on fundamental factors related. Therefore beta of excess equity returns and betas of size and book-to-market based on earnings, as the risk adjustment was combined to the present value based on risk-free rate in valuating model. Evaluation process was conducted in two stages, first during the period 2002 to 2011 using short time-series regressions, risk-adjustment coefficients were calculated at three levels: firm, industry and selected portfolios and the coefficients in the second stage along with other required data in the research model used to predict the stock price for the year 2012. The results show good performance of applying the model to predict the stock price of listed companies in Tehran Stock Exchange. Manuscript profile
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  3 - Survey of the effects fundamental variables on stock price
  Farhad Hanifi Mirfeyz Fallah Shams Leyla Abolfazli
  Forecasting stock price and adopting proper strategy for stocks dealing are subject to many research works. Fundamental analysis is one of the interesting points in this regard. The present work surveys to what extent the fundamental variables represents the stock statu More

  Forecasting stock price and adopting proper strategy for stocks dealing are subject to many research works. Fundamental analysis is one of the interesting points in this regard. The present work surveys to what extent the fundamental variables represents the stock status. The period under study was from 2006 to 2010 and 51 companies in the stock market were under consideration. The data were studied on the weekly and monthly bases. Panel data method was used to study the relation between the variables in the study. Except for stockholder rights turnover, the results showed a positive significant relation between the fundamental variables under consideration including profit per share, predicted profit per share, and book value on one hand and stock price on the other hand. That is, the majority of the variables represent price of stocks for more than 90%. Moreover, the regression model obtained from the annual fundamental variables illustrated higher representation power comparing with seasonal data, which shows merits of longer-term perspective. Manuscript profile
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  4 - Evaluating the thermal comfort of humans by RayMan model in Lake Urmia Basin, Iran
  Khadijeh Javan Farhad Nasiri
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  5 - برنامه ریزی نیروی انسانی به روش زنجیره مارکوف (مطالعه موردی دانشگاه آزاد اسلامی، واحد فیروزکوه)
  ملیحه صحرایی
  مقاله حاضر با هدف پیش بینی و تعیین عرضه خالص نیروی انسانی دانشگاه آزاد اسلامی واحد فیروزکوه برای یک دوره معین انجام شده است. لذا به کمک تجزیه و تحلیل اطلاعات گذشته منابع انسانی، از روش مدل زنجیره مارکوف استفاده شده است و در نهایت تعداد نیروی انسانی، ورود و خروج و همچنین More

  مقاله حاضر با هدف پیش بینی و تعیین عرضه خالص نیروی انسانی دانشگاه آزاد اسلامی واحد فیروزکوه برای یک دوره معین انجام شده است. لذا به کمک تجزیه و تحلیل اطلاعات گذشته منابع انسانی، از روش مدل زنجیره مارکوف استفاده شده است و در نهایت تعداد نیروی انسانی، ورود و خروج و همچنین کمبود و مازاد در هر یک از واحدها و پست های مختلف سازمانی برای 5 سال آینده ( از 1390 تا 1394) پیش بینی شده است و بدین ترتیب تصویر روشنی از وضعیت نیروی انسانی از لحاظ ارتقاء، تنزل، انتقال، استخدام و ترک خدمت کارکنان برای تصمیم گیری مدیران فراهم شده است. جامعه آماری این پژوهش شامل کلیه کارکنان دانشگاه آزاد اسلامی واحد فیروزکوه می‌باشد. Manuscript profile
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  6 - Genetic Study of Dairy Cattle and Buffalo Bulls Based on Growth, Milk Production and Reproductive Traits
  A. Pal P.N. Chatterjee A.K. Chakravarty
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  7 - پاسخ انتخاب برای وزن بدن در بلدرچین ژاپنی (Coturnix coturnix japonica
  اس. هوسن آ.م. عبد الرحمان ال-خدری آ.م. حسن
  مطالعه حاضر به بررسی اثر انتخاب برای وزن بدن (BW) بر عملکرد تولیدی، BW پیش­بینی شده و بهبود ژنتیکی مرتبط با صفات در بلدرچین ژاپنی است. جمعیت پایه، والدین منتخب و فرزندان F1 مورد آزمون قرار گرفتند. پرورش در قفس و لانه صورت گرفت. از تعداد کل 240 پرنده در دو نسل متوالی More

  مطالعه حاضر به بررسی اثر انتخاب برای وزن بدن (BW) بر عملکرد تولیدی، BW پیش­بینی شده و بهبود ژنتیکی مرتبط با صفات در بلدرچین ژاپنی است. جمعیت پایه، والدین منتخب و فرزندان F1 مورد آزمون قرار گرفتند. پرورش در قفس و لانه صورت گرفت. از تعداد کل 240 پرنده در دو نسل متوالی، 27 نر و 54 ماده (به عنوان والدین منتخب) به کار گرفته شدند. وزن بدن از معادله رگرسیون چندگانه، آنالیز کوواریانس و مدل­های مرکب برآورد گردیده و پاسخ انتخاب، وراثت­پذیری تحقق یافته و همبستگی ژنتیکی برای BW، افزایش وزن (WG)، مصرف خوراک (FI) و ضریب تبدیل خوراک (FCR) محاسبه شدند. نتایج نشان داد که پاسخ انتخاب برای BW، WG، FI و FCR به ترتیب برابر با 48/11 گرم، 04/27 گرم، 37 گرم و 2/0- بود. وراثت­پذیری­های برآورد شده برای صفات فوق نیز به ترتیب برابر با 78/0، 67/0، 52/0 و 77/0 بود. معادله پیش­بینی شده (معادله DUHOK) برای BW به عنوان متغیر وابسته به وزن بدن اولیه و نسبت جنس نیز به دست آورده شد. پاسخ نهایی برای وزن بدن به صورت 84/5 درصد BW زنده تعیین گردید. Manuscript profile
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  8 - Evaluation of Control of Substances Hazard to Health (COSHH) Essentials Model by Measuring Occupational Exposure in a Chemical Production Industry
  Masoomeh Vahabi Shekarloo Seyed Mohammad Sadat Zahra Moradpour Rezvan Zendehdel
  10.22034/jchr.2023.1966650.1614
  Control of Substances Hazard to Health (COSHH) Essentials is a simple, user-friendly matrix that provides risk-control solutions. Considering a large number of small enterprises under 25 workers in Iran and the lack of a suitable control banding tool, the COSHH Essentia More

  Control of Substances Hazard to Health (COSHH) Essentials is a simple, user-friendly matrix that provides risk-control solutions. Considering a large number of small enterprises under 25 workers in Iran and the lack of a suitable control banding tool, the COSHH Essentials can be considered an appropriate option. The purpose of the present experimental semi qualitative study was to evaluate the validity of the COSHH Essentials tool. Six processes were selected from a chemical products industry, including the production of silicone glue, polishing, PVC glue, Grease, Twin glue filling, and quality control. Amorphous silica and toluene concentrations were monitored using NIOSH 0600 and NIOSH 1501 in the ambient air of operators. The predicted exposure range (PER) was obtained by combining the control strategies available at the sampling time with exposure predictor (EP) bands in the COSHH Essentials, then compared to silica and toluene concentrations in the air.All exposure data were within the PER for amorphous silica dust and lower or within the PER for toluene. Compared to the acceptable concentration range in hazard bands, the threshold limit value (TLV) for respirable dust is within the acceptable concentration range, while toluene TLV exceeded it. COSHH Essentials is a conservative and safe tool, especially in liquids. Due to its simplicity, ‎employers and health center experts can use the COSHH tool successfully for small enterprises or ‎as a screening tool before a comprehensive risk assessment. Manuscript profile