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Open Access Article
1 - Infant Brain Image Segmentation using the Convolutional Neural Networks
Iran Sarafraz Hamed Agahi2 Azar MahmoodzadehIn this paper, a method based on convolutional neural networks for segmenting neonatal brain images is presented. One of the major challenges in neonatal brain image segmentation is the intensity distribution overlapping between gray matter and white matter tissues, whi MoreIn this paper, a method based on convolutional neural networks for segmenting neonatal brain images is presented. One of the major challenges in neonatal brain image segmentation is the intensity distribution overlapping between gray matter and white matter tissues, which reduces the segmentation accuracy of these areas. To increase the intensity differentiation between brain tissues, this paper presents a pre-processing method based on convolutional neural networks that effectively increases the segmentation accuracy. To obtain the final segmentation result, another convolutional neural network is proposed which performs segmentation based on T1-T2 images. To evaluate the performance of the proposed method, two databases are used, which include magnetic resonance imaging of infants' brains. The results show the appropriate efficiency of the proposed method in segmenting brain tissues. Manuscript profile -
Open Access Article
2 - Effect of aging on the properties of TiO2 nanoparticle
Nafise Ebrahim Jasbi Davoud Dorranian -
Open Access Article
3 - Evaluation of Model-Based Methods in Estimating Dynamic Functional Connectivity of Brain Regions
M. Behboudi R. Farnoosh M. A. Oghabian H. PezeshkToday, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their a MoreToday, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their attention. In this paper, we focus on two model-based approaches, called the exponential weighted moving average model and the dynamic conditional correlation model, to estimate the dynamic correlation between the two brain regions. Initially, the performance of these two models is evaluated using two new simulations. According to the results, in these simulation studies, the dynamic conditional correlation model has better performance than the exponential weighted moving average model. Therefore, a dynamic conditional correlation model is used to estimate the dynamic functional connectivity of two brain regions (the anterior cingulate cortex and the posterior cingulate cortex) for three Iranian addicted to methamphetamine in a resting state functional magnetic resonance imaging. The dynamic conditional correlation model has a good performance in assessing the dynamic functional connectivity of these addicted to methamphetamine. In addition, the dynamic functional connectivity varies between subjects. Manuscript profile -
Open Access Article
4 - Investigating the effect of Content and Social-Relation Gratification in Instagram on customer purchase intention, explaining the mediating role of customer resonance
milad moradi dizgarani Abozar Aghaei KordshamiInstagram network as a social network focused on sharing photos and videos, is a new phenomenon and affective on users purchase behavior which in the field of marketing and customer purchase behavior has been less studied. This study aims to Investigating the effect of MoreInstagram network as a social network focused on sharing photos and videos, is a new phenomenon and affective on users purchase behavior which in the field of marketing and customer purchase behavior has been less studied. This study aims to Investigating the effect of Content and Social-Relation Gratification in Instagram on customer purchase intention, explaining the mediating role of customer resonance. This study is an applied one according to the purpose and it is a descriptive survey according to the method. The statistical population consisted of all students of Razi University of Kermanshah on the number of 13161 people. The sample size has been calculated 374 people, based on a Cochran formula. The sampling procedure was convenience sampling and a questionnaire was utilized to collect data. Cronbach's alpha coefficient and combined reliability were used to evaluate the reliability of the questionnaire. Convergent and divergent validity were also used to confirm the validity of the questionnaire. The statistical analyses were run by SMART-PLS. The results of the study reveal that hedonic value, homophile and informational influence have a positive and significant effect on customer resonance in Instagram network. As well as customer resonance in Instagram network has a positive and significant effect on customer purchase intention. Manuscript profile -
Open Access Article
5 - Investigation of the Effects of Corporation Ability Association and Brand Awareness on Repurchase Intention and Mediator Roles of Quality Perception and Brand Resonance in Consumer Decision Marketing Process
A. R. KiaThis research is aimed at investigation of the effects of corporation ability association (CAA) and brand awareness on repurchase intention and mediator roles of quality perception and brand resonance in consumer decision marketing process. This used model is theory res MoreThis research is aimed at investigation of the effects of corporation ability association (CAA) and brand awareness on repurchase intention and mediator roles of quality perception and brand resonance in consumer decision marketing process. This used model is theory research and expanded brand equity of Aaker and Keller. Which impressive variables in accepting, consist of corporation ability association, brand awareness, quality perception, brand resonance, brand extensibility, price flexibility, repurchase intention. Procedure which has been done by a group of 385 person from Tehran's researches and sciences Azad University branch using descriptive statistically way, reasoning and constructive variable for intention for repeated purchase and decision-making process. Result of analysis using structural equations modeling has shown that overall CAA and quality perception and brand extensibility, brand awareness and quality perception, quality perception and brand resonance and price flexibility and repurchase intention, brand resonance and brand extensibility, has means relationship and variables mention has effected to process purchase. Manuscript profile -
Open Access Article
6 - Computational study of energetic, stability, and nuclear magnetic resonance of BN nanotube as a nanosensor
Elham Pournamdari -
Open Access Article
7 - Computation of the NMR Parameters of H-Capped (10,0) and (5,5) Single-Walled SiC Nanotubes
Goudarz M. Rouzbehani Temer S. Ahmadi Ahmed Seif -
Open Access Article
8 - Quantitative Correlation of Randić Indices and Adjacency Matrixes With Dewar Resonance Energy of Annulene Compounds
A. Taherpour F. Shafiee -
Open Access Article
9 - Theoretical investigation of Malva sylvestris L. in point of Nano Bio Technology
Shamsa Sharifi Mohammad Hoseyn Mosslemin Mohammad Mahmodi Hashemi -
Open Access Article
10 - Study on Sunitinib Adsorption on Graphene Surface as an Anticancer Drug
Sepideh Tanreh Abolghasem Shameli Ebrahim Balali -
Open Access Article
11 - Designed a Resonance Rayleigh Scattering (RRS) Spectroscopic Technique for the Selective Determination of Acetaminophen Drug in Human Fluid Samples by Using Chitosan-capped Gold Nanoparticles
Kobra Moteabbed Jafar Burromandpiroze Vahid Zare- Shahabadi Soheil Sayyahi -
Open Access Article
12 - Design of a robust controller for a parallel resonance converter using μ synthesis
Hossein Rozegar Amir Yaghobi Mehrzad NasiriyanDc-dc resonator converters have recently received a lot of attention in power supplies. These converters have a great ability to convert energy from one level to another with high performance, which does not have the problems of conventional converters based on the clas MoreDc-dc resonator converters have recently received a lot of attention in power supplies. These converters have a great ability to convert energy from one level to another with high performance, which does not have the problems of conventional converters based on the classic PWM method and therefore can be used as smaller and lighter power supplies in aerospace, industrial, and residential applications. Be used. To do this, a suitable control circuit with the ability to keep the desired output voltage constant under different operating conditions is required. For this purpose, small-signal models obtained around the nominal operating point were previously used to keep the output voltage constant in the presence of input perturbations. However, these controllers did not take into account changes in load and orbital elements, so changing them could easily lead to system instability. In this paper, we design a robust controller for this resonant converter using μ synthesis. In addition to ensuring stability for a wide range of load changes, this controller also eliminates input disturbances and adjusts the control input and sitting time well. Manuscript profile -
Open Access Article
13 - Detection Of Brain Tumors From Magnetic Resonance Imaging By Combining Superpixel Methods And Relevance Vector Machines Classification
Ebrahim Akbari Mehran Emadi -
Open Access Article
14 - Improvement of Breast Cancer Diagnosis Rate in Magnetic Resonance Imaging (MRI) using Fusion of Super Pixels and Fuzzy Connectedness
Mehran Emadi Fatemeh Bakhshi Zade -
Open Access Article
15 - Efficient Higher-Order Shear Deformation Theories for Instability Analysis of Plates Carrying a Mass Moving on an Elliptical Path
E Torkan M Pirmoradian -
Open Access Article
16 - Microtremor analysis to evaluate BMKG region III building, Bali, Indonesia
Muh Sarkowi Rahmat Wibowo Ida Bagus Yogi Mahmud Yusuf Yohana Boka -
Open Access Article
17 - Theoretical study of HCX (NH2) (X= O, S, and Se) analogs in the gas phase: Electronic Structure, Natural Bond Orbital (NBO) & Natural Resonance Theory (NRT)
golrokh Mahmoudzadeh ghazal kouchakzadeh -
Open Access Article
18 - The effect of cells' radius on optical filter output spectrum based on photonic crystals
Jabraeil Farajzadeh Mir Mansur Ziabari -
Open Access Article
19 - MS Identification in Brain Magnetic Resonance Images Using Wavelet Transfer Learning
Ali Alijamaat Ali NikravanShalmani Peyman Bayat -
Open Access Article
20 - A New Fuzzy controller for Damping of Sub Synchronous Resonance (SSR) in the modified IEEE First Bench Mark
Yaser Bostani saeid jalilzadeh -
Open Access Article
21 - Design sensitive plasmonic based 1D photonic crystal biosensor with graphene-two metal layer
Maryam Sharifi Sadeq Mohammed Ameen Mahmood -
Open Access Article
22 - Polypyrrole-Graphene Quantum dots Nanocomposite Layer for Detection of Uric Acid Using Plasmonic Sensor
Amir Reza Sadrolhosseini Seyedeh Mehri Hamidi -
Open Access Article
23 - The Study of Plasmonic Biosensors based on Mach-Zehnder Interferometry
Reza Kheradmand Tanin Kazemzadeh Fariba Lotfi -
Open Access Article
24 - Thermal Stability and Dynamic Magnetic Properties of NiO/Fe Multilayered Thin Films Prepared by Oblique-Angle Sputtering Technique
khalil gheisari C.K. Ong -
Open Access Article
25 - A review of the treatment of bone tumours by hyperthermia using magnetic nanoparticles
Athena Ehsani Rayappa Shrinivas Mahale Shika Shayegan Ali Attaeyan Atefeh Ghorbani Shamanth Vasanth Sharath P C Sheyda Shahriari Azadeh Asefnejad -
Open Access Article
26 - Detection Of Brain Tumors From Magnetic Resonance Imaging By Combining Superpixel Methods And Relevance Vector Machines Classification (RVM)
Ebrahim Akbari Mehran EmadiThe production of additional cells often forms a mass of tissue that is referred to as a tumor. Tumors can disrupt the proper functioning of the brain and even lead to the patients' death. One of the non-invasive diagnostic methods for this disease is Magnetic Resonance MoreThe production of additional cells often forms a mass of tissue that is referred to as a tumor. Tumors can disrupt the proper functioning of the brain and even lead to the patients' death. One of the non-invasive diagnostic methods for this disease is Magnetic Resonance Imaging (MRI). The development of an automated or semi-automatic diagnostic system is required by the computer in medical treatments. Several algorithms have been used to detect a tumor, each with its own advantages and disadvantages. In the present study, an automatic method has been developed by the combination of new methods in order to find the exact area of the tumor in the MRI image. This algorithm is based on super pixel and RVM classification. The algorithm used in the super pixel method is the SLIC algorithm, which calculates for each super pixel 13 statistical characteristics and severity. Finally, an educational method introduced from the RVM classification algorithm that can detect the tumor portion from non-tumor in each brain MRI image. BRATS2012 dataset and FLAIR weights have been utilized in this study The results are compared with the results of the BRATS2012 data and The overlap coefficients of Dice, BF score, and Jaccard were 0.898, 0.697 and 0.754, respectively. Manuscript profile -
Open Access Article
27 - A Triple-Buck Converter with Zero-Voltage Transition Base on the Interleaved Inductors
Yasin Bastan Ali Nejati Parviz AmiriA triple-buck converter with zero voltage transient is presented in this paper. The proposed structure is formed by three parallel buck converter to increase the reliability which is utilized three interleaved inductors for connecting the stages to reduce the losses cau MoreA triple-buck converter with zero voltage transient is presented in this paper. The proposed structure is formed by three parallel buck converter to increase the reliability which is utilized three interleaved inductors for connecting the stages to reduce the losses caused by hard switching. The zero voltage transistor is also performed by resonance between the parasitic capacitance of the power switches and the equivalent inductor seen from each capacitor. The proposed circuit analysis has been performed in different operating modes. The proposed Buck converter is simulated in the Matlab/Simulink environment. The simulation results prove that the switching losses as well as the loss of diodes can be reduced by zero voltage switching of the power switches and designed high-performance converter. The simulation results show that the output reaches its final value of 40 V after 0.6 ms and the output voltage variations is 0.5 V the output ripple is achieved 1.25%. Manuscript profile -
Open Access Article
28 - Electromagnetic Force Analysis of Transformer on the Ferroresonance due to Consecutive 3–Phase Short–Circuit Faults Using Finite Element Method (FEM)
Ali Ahmadpour SeyedJalal Seyed Shenava Abdolmajid Dejamkhooy Elham MokaramianIn this paper, Finite Element Method (FEM) is used to study the ferroresonance phenomenon from the perspective of the electromagnetic forces introduced on the transformer windings. In order to simulate this phenomenon, a consecutive 3–phase short–circuit fau MoreIn this paper, Finite Element Method (FEM) is used to study the ferroresonance phenomenon from the perspective of the electromagnetic forces introduced on the transformer windings. In order to simulate this phenomenon, a consecutive 3–phase short–circuit fault is considered to be on the primary side at a relatively distant from the transformer. Then, due to the capacitance of the line, between the error point and transformer, the single–phase short–circuit faults are generated, one–by–one. Because of the switching, for isolation feeder from the fault point, the ferroresonance appears in power system. Then, voltages and currents of the primary and secondary windings will be changed. The effect of current changes on the forces that transformer coils withstand, when the ferroresonance happens, is an interesting topic to this paper. With modeling of the transformer and feeder switching in the FLUX 12.2 software, the ferroresonance condition is simulated. Due to the dependence of the ferroresonance on the non-linearity of the magnetic characteristic of the transformer core, Jiles–Atherton vector hysteresis model is used to modeling the core hysteresis loops for enhancement the results accurate. Manuscript profile -
Open Access Article
29 - Simulation and Analysis of the Effect of Parameters on the Spectral Response of Electric Field Enhancement Factor in the Proposed AFM-TERS System
Mohsen Katebi Jahromi Rahim Ghayour Zahra AdelpourOne of the most important advances in Raman spectroscopy in recent years has been its integration with scanning probe microscopes (SPM), especially atomic force microscopes (AFM). Currently, AFM is recognized as one of the best imaging methods for studying the distribut MoreOne of the most important advances in Raman spectroscopy in recent years has been its integration with scanning probe microscopes (SPM), especially atomic force microscopes (AFM). Currently, AFM is recognized as one of the best imaging methods for studying the distribution of heterogeneous surface in nanoscale dimensions. Scientists are now focused on obtaining more enhancement factor of electric field, to the extent that detection and mapping of only one molecule has become possible with this method. Therefore, spatial resolution is being improved in detecting sub-molecule levels. In this paper, using the finite difference time domain (FDTD) calculation method, the effect of changing the parameters of the probe such as cone angle, tip radius and its material on the electric field intensity near the apex of the probe is investigated. In addition, the effect of polarization of light on the increase of electric field has been analyzed. The simulation results obtained for different cone angles show that the cone angle of 30 degree creates the highest amount of electric field enhancement factor at the tip apex. Furthermore, the use of laser source with radially polarized light and the use of substrate are very effective factors on improving the electric field enhancement factor. Finally, the maximum value of electric field enhancement factor of the proposed configuration is 3.2×104, where this value has been improved significantly comparing to the results reported in the previous papers published in this field. Manuscript profile -
Open Access Article
30 - Reduction of Sub-synchronous Resonances with D-FACTS Devices using intelligent Control ,
Zahra Amini Abbas KargarWhen a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce the MoreWhen a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce these SSR. To achieve this desired goal, the fuzzy controller, Particle Swarm Optimization (PSO) and artificial neural network is used to control of the DSSC. Particle swarm optimization is designed Based on the Conventional Damping Controller (CDC) and fuzzy logic is designed based on damping controller (FLBDC) and damping control based on artificial neural network trained using the fast pace of changes has been designed. Stability of the system is analysed by simulations in the time domain with performance index (PI). All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system.All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system. Manuscript profile -
Open Access Article
31 - A New Method for Segmentation of Multiple Sclerosis (MS) Lesions on Brain MR Images
Simin Jafari Ali Reza KarimianAutomatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely investigated in recent years with the goal of helping MS diagnosis and patient follow-up. In this study we applied gaussian mixture model (GMM) to segment MS lesions in MR images. Usu MoreAutomatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely investigated in recent years with the goal of helping MS diagnosis and patient follow-up. In this study we applied gaussian mixture model (GMM) to segment MS lesions in MR images. Usually, GMM is optimized using expectation-maximization (EM) algorithm. One of the drawbacks of this optimization method is that, it does not convergence to optimal maximum or minimum. Starting from different initial points and saving best result, is a strategy which is used to reach the near optimal. This approach is time consuming and we used another way to initiate the EM algorithm. Also, FAST- Trimmed Likelihood Estimator (FAST-TLE) algorithm was applied to determine which voxels should be rejected. The automatically segmentation outputs were scored by two specialists and the results show that our method has capability to segment the MS lesions with Dice similarity coefficient (DSC) score of 0.82. Manuscript profile -
Open Access Article
32 - Design, Simulation and Fabrication of a Wideband Filter Using Multi-Mode Resonators in Three Layer Stripline Structure
Mehdi Karimiyan Pedram Seyed eftetahi Amir Mohammad KhezriIn this paper, in order to overcome the coupling and fabrication constraints of microstrip structures, 3 layer stripline structure be introduced and based on impedance steps and microwave coupled lines as impedance inverters and multi mode resonators, new and miniaturiz MoreIn this paper, in order to overcome the coupling and fabrication constraints of microstrip structures, 3 layer stripline structure be introduced and based on impedance steps and microwave coupled lines as impedance inverters and multi mode resonators, new and miniaturized structures are proposed. Using this structure, several 2-6 GHz wideband filters has been designed and simulated, and some effective techniques to reducing virtual resonances and improving slope of filter introduced. Finally, a wideband filter is fabricated and using simulation and measurement, efficiency of method is shown. Manuscript profile -
Open Access Article
33 - Determination of the resonance frequency range of buildings in Golbaf and Sirch earthquakes
Mohammadreza Khosravi Mashizi -
Open Access Article
34 - Ultra trace determination of Ranitidine in drinking water, tablet, serum (blood) , and human urine by a colorimetric method based on the aggregation of gold nanoparticles
maryam moradi mahmoodreza sohrabi saeed mortazavi nikAbstract: This research introduces a simple, sensitive, and rapid ultraviolet- visible spectrophotometry method for determination of ultra-trace amount of Ranitidine (RAN) in several sample such as drinking water, tablet, serum (blood), and human urine using gold nan MoreAbstract: This research introduces a simple, sensitive, and rapid ultraviolet- visible spectrophotometry method for determination of ultra-trace amount of Ranitidine (RAN) in several sample such as drinking water, tablet, serum (blood), and human urine using gold nanoparticles (AuNPs). The surface plasmon resonance (SPR) property of AuNPs and the interaction between RAN and AuNPs is the base of this method. The addition of RAN into AuNPs led to the aggregation of AuNPs. Transmission electron microscopy (TEM) proved aggregation of AuNPs in the presence of RAN. Also, the size of the nanoparticles distribution was evaluated by dynamic light scattering (DLS). The parameters that affect the absorbance such as pH, type and volume of buffer, AuNPs concentration, interaction time, ionic strength, and interfering ions were investigated and optimized. Linear range was obtained 25-300 μgL-1 in the optimum conditions. Also, the correlation coefficient (R2 =0.9955) and the limit of detection (LOD), and limit of quantification (LOQ) were equal to 1.45 μgL-1, and 1.63 μgL-1, respectively. In addition, the effect of interfering species was investigated. Eventually, the results showed that the proposed method had a high potential for rapid, sensitive, and accurate determination of RAN Manuscript profile -
Open Access Article
35 - Biosynthesis and characterization of silver nanoparticles using aqueous extract of walnut (Juglans regia L.) leaf
masoud bayat reza moradi ali bodaghiGreen synthesis of nanoparticles is an environmentally friendly method, in which water solvent are used. In this study, the biosynthesis of silver nanoparticles (Ag-NPs) was performed by using walnut (Juglans regia L.) leaf extract. Walnut leaf contains a variety of che MoreGreen synthesis of nanoparticles is an environmentally friendly method, in which water solvent are used. In this study, the biosynthesis of silver nanoparticles (Ag-NPs) was performed by using walnut (Juglans regia L.) leaf extract. Walnut leaf contains a variety of chemicals, including tannins, flavonoids, vitamins, plant acids and naphthoquinone. The extract of walnut (Juglans regia L.) leaf as the reducing agent is used for the synthesis of silver nanoparticles. The silver nanoparticles have been characterized by scanning electron microscopy (SEM), Energy dispersive X-ray (EDAX), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR) and UV-Visible spectroscopy. UV-Vis spectrum exhibit an absorption band at around 400-450 nm suggestion the formation of silver nanoparticles. The observed peak at about 425 nm is related to the surface plasmon resonance of silver nanoparticles. The effects of operational parameters in the synthesis of silver nanoparticles such as silver nitrate salt concentration, extract volume, temperature and time was studied. The results showed that silver nitrate concentration 6 mM, extract volume 200 µlit, temperature 90°C and time 40 min was the optimum amounts. Manuscript profile -
Open Access Article
36 - Investigation of Brand Identity and Brand Resonance's Role in Customer Brand Engagement
zahra shirazianResearch shows that identity and brand resilience affect the mental conflicts of customers and organizations can plan long-term benefits by planning. A leading study was conducted to investigate the effect of identity and brand resilience on customer brand affairs of Ir MoreResearch shows that identity and brand resilience affect the mental conflicts of customers and organizations can plan long-term benefits by planning. A leading study was conducted to investigate the effect of identity and brand resilience on customer brand affairs of Irankhodro Company's dealers in Hamedan city. This research was a practical, quantitative, and cross-sectional study. The statistical population of this research was customers of Irankhodro Company's dealerships in Hamedan city. A sample of 384 members was selected randomly and without placement. The data collection tool was a standard questionnaire whose validity and reliability were verified and confirmed The content validity method was used to evaluate the validity and reliability of the Cronbach Alpha method was used. In order to analyze the data, structural equations based on partial least squares were used and implemented with Smart Pilar software. The findings show that identity and brand resonance and their components have a significant effect on consumer brand involvement, with the exception of active participation component. Manuscript profile -
Open Access Article
37 - Characterization of Electromagnetic Force of the Transformer During the Occurrence of a Ferroresonance Phenomenon by FEM
Iman Rostami ahmad zare alireza shams saeid saberi firoozi -
Open Access Article
38 - Plasmonic Nanosilver Synthesis Using Sonneratia apetala Fruit Extract and Their Catalytic Activity in Organic Dye Degradation
Muhammad Shamim Al Mamun Md. Israil Hossain Jannatul Naime Palash Dhar -
Open Access Article
39 - بررسی تاثیر مکان میله های حلقوی در پره های مرحله آخر توربین بخار روی فرکانسهای طبیعی آن
مهدی نوذرپور عباس رهیدر این پژوهش تاثیر مکان میله‏ها‏ی‏ حلقوی در فرکانس طبیعی پره‏‏های مرحله آخر توربین بخار بررسی شده است. پره‏های توربین اجزاء بحرانی و مهمی در نیروگاه‏ها هستند. یکی از پارامترهای مهم در پره‏ها، محل قرار گرفتن میله‏های حلقوی است. ابتدا ب Moreدر این پژوهش تاثیر مکان میله‏ها‏ی‏ حلقوی در فرکانس طبیعی پره‏‏های مرحله آخر توربین بخار بررسی شده است. پره‏های توربین اجزاء بحرانی و مهمی در نیروگاه‏ها هستند. یکی از پارامترهای مهم در پره‏ها، محل قرار گرفتن میله‏های حلقوی است. ابتدا برای تولید مدل هندسی سه بعدی پره از اسکن سه بعدی کمک گرفته شده است و پس از اطمینان از مدل‏سازی تک پره، به فرآیند مونتاژ پره‏های مرحله آخر توربین فشار ضعیف و شبیه‏سازی اجزاء محدود پرداخته می‏شود. در این مرحله از پره های توربین، دو ردیف میله‏ی حلقوی وجود دارد که در این مقاله، تاثیر موقعیت میله‏های حلقوی نسبت به ریشه، روی فرکانس طبیعی سیستم بررسی شده است. با توجه به نیروهای تحریک‏کننده‏ مدل، نتایج بدست آمده از فرکانس‏های طبیعی، شکل مودها و نمودار کمپل نشان می‏دهد که در مکان‏های مختلف از میله‏های حلقوی مورد بررسی، تشدیدی در این ردیف پره ها رخ نمی‏‏دهد. Manuscript profile -
Open Access Article
40 - Morphic Field Theory in Language Learning
Rozita Zabihi Hasan AhadiAbstract: The aim of this study was to investigate the "morphic field", using language skill as a sample of various skills which people try to learn. The research method was casual-comparative. Three hundred female and male students from Islamic Azad University, South T MoreAbstract: The aim of this study was to investigate the "morphic field", using language skill as a sample of various skills which people try to learn. The research method was casual-comparative. Three hundred female and male students from Islamic Azad University, South Tehran branch have been selected by cluster sampling method. They were all studying in humanities except foreign languages. By using Power point software twenty correct and twenty incorrect Swahili pair words slides displayed for them about 10 seconds. Participants selected and wrote any word they thought they were correct. Internal consistency of these words by Cranach Alpha was 0.84 and its test-retest reliability was 0.87. The results of "binominal test" indicated that participants in % 50 of cases selected 13 words out of 20 correct words. Also, they selected the correct words in %56.25 of the cases. Furthermore, there is significant difference between selection of correct and incorrect words of Swahili language. In addition, there isn’t any significant difference between female and male in selection of correct and incorrect Swahili words. These findings consist with those studies that study Chinese and Russian languages in other countries. Thus, the "Morphic Field" theory is valuable in facilitating learning among the members of one species. Manuscript profile