aliasghar shojaei

This study aimed to provide a scaffolding model to enhance educational quality with the mediation of time management and self-directed learning.

The study was conducted using an exploratory mixed-method approach. The statistical population included academic and organizational experts and middle school students in Qaemshahr during the 2021-2022 academic year. In the qualitative section, 20 individuals were selected by purposive non-random sampling, and in the quantitative section, 372 individuals were selected by stratified random sampling. Data were collected through the Delphi technique and a researcher-made questionnaire and analyzed using SPSS and Smart PLS software.

The findings indicated that "scaffolding" comprises six components, "time management" comprises six components, "self-directed learning" comprises eight components, and "educational quality" comprises nine components. The results showed that scaffolding, time management, and self-directed learning significantly impact educational quality.

The results indicated that scaffolding, time management, and self-directed learning significantly impact educational quality. These techniques are recommended as effective strategies to improve the teaching-learning process. Proper planning and implementation of these elements can lead to enhanced educational quality.

The purpose of this research is to examine and explain the model of a superior organizational climate for the promotion of knowledge in the Islamic Azad Universities of Mazandaran Province.

This research is applied in terms of its objective and descriptive-survey in terms of data collection method. Data were collected using a standard researcher-made questionnaire. The statistical population comprises 1,537 faculty members from various departments of Islamic Azad Universities in Mazandaran Province. The sampling method is cluster random sampling. Initially, the entire Mazandaran Province was divided into three clusters: eastern, central, and western. From each cluster, three counties were selected, making a total of nine counties chosen as the statistical sample. Subsequently, 308 faculty members from these counties were considered. Data analysis was conducted using structural equation modeling with Smart PLS4 software.

The results indicate that all indicators and factors influencing the superior organizational climate for the promotion of knowledge in Islamic Azad Universities have a factor loading greater than 0.4, thus confirming the indicators and influential factors. Furthermore, the model of factors influencing the superior organizational climate for the promotion of knowledge in Islamic Azad Universities was depicted. The impact of causal factors on the superior organizational climate within the university, and contextual and environmental factors on strategies were found to be significant. Additionally, strategies had a positive and significant impact on outcomes and results.

The factors of the model of a superior organizational climate in universities aimed at promoting knowledge can be generally recommended as a practical and comprehensive package for all university managers and executive bodies.

Improving reliability indices, increasing the grid production capacity, reducing power loss during peak periods and fuel cost, and economic and environmental considerations on the one hand, and the progresses made in the field of semiconductor devices on the other hand, are some of the factors that increase the penetration of the renewable energy sources to the distributed network. When the photovoltaic panels are present at the level of the distribution network, there are periods of time when the voltage exceeds its allowable area. Regarding this issue, it is necessary to consider solutions to overcome this challenge. This paper suggests an online dynamic voltage restorer whose control algorithm is designed according to the genetic algorithm. The simulations are carried out according to the voltage profile of a part of Mashhad. They have been investigated by DIgSILENT software. For this purpose, the real data of energy consumption in the residential sector with a time step of one hour has been used and the simulations have been implemented in the form of three scenarios. The first scenario is when there is no solar cell. The second is when the solar cell is online. And the third state is when both the cell and the dynamic voltage recovery in the line help the stability of the system and improve its power quality. According to the obtained results, by applying the mentioned control method, not only more than 7% of the range of voltage variations is reduced, but by reducing the level of voltage imbalance, the level of efficiency and reliability of the network is also increased.

Since it might delay making significant expenditures in substations and generation, increasing the efficiency of power systems is an important priority. By altering the status of switches, the distribution feeder reconfiguration (DFR) can reduce system losses in this regard. Power loss and voltage deviation of buses are frequently taken into account as objective functions while solving the distribution feeder reconfiguration problem, however reliability indices have received less consideration. The proposed reliability index, coupled with power loss and switching number in the presence of distributed generators, are used in this study to address DFR as a multi-objective problem. The DFR problem is complex inherently, considering impacts of distributed generators makes the problem more be complex than before. For this purpose, an evolutionary method based on the combination of particle swarm optimization and modified shuffled frog leaping has been used to solve the nonlinear optimization problem in this study. Two 33-bus and 70-bus systems are evaluated to gauge the effectiveness of the suggested hybrid algorithm.

Universities play an important role in educating efficient and entrepreneurial human resources and producing knowledge for other institutions and organizations in society, and this role and position of excellence in knowledge-based development is not hidden from anyone. Since governance is one of the most important aspects of higher education and has a great impact on educational and research activities, it has been significantly affected by these changes. The general purpose of the current research was to investigate the impact of university governance with the approach of developing fourth-generation universities on future foresight in Babol universities in order to present a model.

This research is applied in terms of purpose, which was conducted with a mixed approach (qualitative and quantitative). In the qualitative approach, the Delphi method was used, and in the quantitative approach, the descriptive correlation type method was used. The statistical population in the qualitative department of the professors of the universities of Babol city, who had management experience of more than 10 years and the scientific rank of associate professor and above, was identified in the number of 20 people using the purposeful sampling method and were present in the study. Based on the saturation law, the number of 10 was determined and was selected as a statistical sample. The main goal of this stage of the research was to examine and explore the concepts and categories related to university governance with the approach of developing fourth-generation universities and creating a questionnaire for the quantitative part. Therefore, at this stage, in order to achieve the indicators of academic governance with the approach of developing fourth-generation universities, through in-depth and exploratory interviews individually with the scientific experts who were purposefully selected, the necessary qualitative data were collected. Concepts and categories were identified and analyzed. These concepts and categories became the basis for developing a tool (questionnaire) for university governance with the approach of developing fourth-generation universities, thus a "qualitative review" was carried out at this stage. Since the current research deals with the impact of university governance with the approach of developing fourth-generation universities on future foresight in Babol universities in order to provide a model, in this research, the researcher used the data obtained through interviews and questionnaires after extracting and classifying through SPSS20 and PLS3.2 software and Kolmogorov-Smirnov statistical tests, single sample t, exploratory factor analysis, confirmatory factor analysis, Friedman test, and structural equations have been analyzed. What will be stated next is data analysis based on qualitative, quantitative, and inferential data.

Based on the coefficients of the path, there is a factor load of 0.295 between the exogenous variable (university governance with the development approach of fourth-generation universities) and the endogenous variable (foresight), also because the t-value (4.587) is outside the range (2.58 and -2.58), so the impact of university governance with the approach of developing fourth-generation universities on the future is significant at the level of 0.99. Looking at the t value of the components of both variables, we find that this relationship is significant between all the components of the variables. Among the variable components of university governance with the development approach of fourth-generation universities, the highest t-statistic belongs to the "university perspective" component from the set of organizational dimension components with a value of 44.166, and among the prospective components, the highest t-statistic belongs to the stages component. The executable is associated with the value 152.210. The results of data analysis in this section have shown that the relationship between the impact of university governance and the development approach of fourth-generation universities in the future has been confirmed and there is a significant correlation between all variables. Also, after examining the relationship between university governance and the development approach of fourth-generation universities, the main hypothesis was confirmed.

The Conclusions of this research are based on the data obtained from interviews with professors and informants in this field. According to the presented discussion, university governance with the approach of developing fourth-generation universities has very important effects in the fields of foresight and science production. Fourth-generation universities, as advanced and innovative higher education institutions, can contribute to the development of technology and innovation, the promotion of future skills, leading research, and effective interaction with industry and society. Appropriate university governance can promote these goals and help realize the future and produce science in societies and the world. These efforts not only lead to scientific and technological progress, but also help to realize economic, social, and cultural goals in human societies. As a result, university governance with the approach of developing fourth-generation universities can help the progress and development of societies and the world as a broad and fundamentally similar whole. The most attention to the importance of the development of the fourth generation universities in the field of university governance can create positive effects and the development of societies and the world for a long time. Fourth-generation universities, as institutions of higher education focusing on advanced research and development of new technologies, play an essential role in scientific and technological development. They contribute to the production of scientific and practical knowledge related to the trade, industry, and economy of societies and are very effective for economic progress. The relationship between academic governance and the development approach of fourth-generation universities is a variable of foresight at an average level, and the impact of academic governance and the development approach of fourth-generation universities on foresight is significant.

The presence of electric vehicle technology in distribution networks as controllable resources provides advantages such as voltage regulation, power peaking, and loss reduction. This technology has a positive effect on the performance of the distribution network, but the simultaneous presence of electric vehicles and distributed generation sources requires optimal planning because the lack of access to an application reduces the life of these technologies and can cause blackouts in the power network. Therefore, in this study, the dynamic reconfiguration of the distribution network in the simultaneous presence of distributed generation sources and electric vehicles is proposed. Also, the time-of-use mechanism has been proposed as one of the demand response applications to improve the power consumption of subscribers. The objective functions in this study include the reduction of energy loss, operational cost and energy not supplied as the objective function of reliability. In general, the optimization problem of distribution network reconfiguration is complex and non-convex. Also, considering the effect of distributed generation units and electric vehicles makes the problem more complicated than before. Therefore, finding a practical method to solve the optimization problem is one of the main challenges of this paper. For this purpose, a novel hybrid algorithm based on a combination of an improved particle swarm optimization-artificial bee colony is presented to overcome the complexities of the optimization problem. The proposed method has

Distribution network reconfiguration is one of the well-known and effective strategies in the distribution networks which performs by the status management of the network switches in order to obtain a new optimal configuration for the feeders. This study formulates multi-objective distribution feeder reconfiguration in the presence of distributed generators and capacitors. Common objective functions in the Distribution network reconfiguration problem include power losses and voltage deviations, which are important goals in traditional distribution systems. Usually, less attention has been paid to the reliability and voltage security target functions. Therefore, the main objectives of this study are to improve the reliability and maintenance of voltage by solving the problem of Distribution network reconfiguration. The inherent complexities of the distribution network rearrangement problem have made it a serious challenge to provide a practical and robust solution to overcome the complexities of this problem, therefore, the improved gravitational search optimization algorithm to solve this problem Has been. In order to show the efficiency of the proposed method, it has been tested on a 33-bus test system.and the results are compared with theresults of using other evolutionary algorithms, such as particleswarm optimization and shuffled frog leaping

Integrating large-scale wind farms with the main grid poses several challenges to operating the power utilities. One of the most important is to extract the maximum possible power in different operating conditions from the installed capacity. One of the common solutions in wind power plants equipped with doubly-feed induction generators is to control the output power of the rotor by using a proportional-integral controller.In this paper, a modified chaos-based imperialist competition algorithm is used to manage the control coefficients of twenty wind turbines (2 MW) located in a microgrid. The results show that the use of chaos theory improves the quality of convergence tracking of maximum power points during rapid changes in wind speed. In the classical proportional-integral controller, when the wind speed changes rapidly, the generated torque contains a large ripple and this controller is unable to overcome the nonlinear and ripple torque properties. This weakness increases the stress on the system and can damage the structural equipment of the generator. At the same time, the results obtained using the chaotic-based imperialist competition algorithm show that not only the ripple content is significantly reduced, but also more than 40% of its subsurface value is reduced.

The purpose of the present study was to validate the teacher as social context in teachers (Teacher's behavior in the classroom). This research was descriptive of the correlation. The statistical population included all the teachers of the first and second grade of secondary schools in Noor’s and Chamestan’s public schools in the academic year of 2019-2020. The sample consisted of 240 teachers (123 males and 117 females) were selected by relative stratified random sampling and all of them completed the Teacher as Social Context questionnaire. Confirmatory factor analysis and Cronbach's alpha coefficient were used to examine the questions of the questionnaire. Findings showed that the questionnaire was saturated with three factors of involvement, structure and autonomy support. Cronbach's alpha coefficient was favorable for the agents and the whole questionnaire in terms of psychometrics in all participants and the range of correlations of the set of items was favorable. Also, the significance of fitness indices in confirmatory factor analysis confirmed the three-factor model extracte. Analysis of reliability, convergent and divergent validity of the questionnaire factors showed that the questions are sufficiently accurate in assessing the factors. As a result, the Persian version of the Teacher as Social Context questionnaire in the teacher community has acceptable psychometric properties and can be used as a valid tool to measure teacher behavior in the classroom.

The purpose of the present study was to model the structural relationships of job stressors and teachers' autonomy support with mediation of emotional exhaustion. This research was descriptive of the correlation type by the method of structural equations. The statistical population included all the teachers of first and second grade of secondary schools in Noor’s and Chamestan’s public schools in the academic year of 2019-2020, that based on Cochran’s formula and stratified random sampling method, 240 people were selected. The tools of this research were the job stressor factors questionnaire of Otero-Lopez et al. (2006), the teacher as social context questionnaire Welborn et al. (1992) and the teachers’ burnout inventory of Maslach et al. (1996). All analyzes were done by structural equation modeling method. The findings indicated that the structural relationship model of job stressors and teachers' autonomy support with the mediation of emotional exhaustion in teachers of first and second grade of secondary schools has favorable fit and significance. In this research, all the direct and indirect paths that lead to the prediction of teachers' autonomy support have been significant. The research’s results indicate that job stressors have a direct and indirect effect, through emotional exhaustion, on teachers' autonomy support and also emotional exhaustion directly affects autonomy support. Addressing these variables can be effective in solving the problems of teachers' autonomy support and increasing it.

The purpose of this study was to investigate The effect of game-based math education on the social skills and academic self-efficacy of preschoolers, and first and second bases through flipped learning. This study was cross-sectional in terms of purpose, time of data collection, and Solomon's method in terms of method. The statistical population was preschool students. 40 people were selected by multi-stage cluster random sampling and divided into 4 groups (2 experimental and 2 control groups). Starmath game training was performed during 27 sessions (two sessions per week). The Talk and Trend Social Skills Questionnaire (2014) and the Jings and Morgan Academic Self-efficacy Questionnaire (1999) were used. The results of Kruskal-Wallis H, Mann-Whitney U and Wilcoxon tests showed that in the between groups study, the increase of social skills and its components were all observed, and in the within groups study, the ineffectiveness of the talent component was observed. In the between groups study of academic self-efficacy, an increase of all cases except the component of cooperation was observed, and in the within groups study, an increase of all cases except the communication component was also observed. Thus, Starmath training increases the social skills and self-efficacy of preschool students.

Today, research and scientific activities are the main context for the development of societies. In fact, research productivity can lead to the flourishing of scientific production and growth. Teachers, as the main provider of education to students, also need research activities to improve their educational quality, which lies in research productivity. Therefore, one of the main necessities of the education system is to address the basic issue of teacher research productivity. Teachers' research activities can play an important role in teaching and its quality. On the other hand, electronic human resource management provides a basis for teachers to rely on electronic research to get acquainted with up-to-date research and apply it in their research activities. Therefore, the use of electronic human resource management in research productivity is one of the axes to improve the quality of teaching and research productivity of teachers. The aim of this study was to present a model of the effect of electronic human resource management on research productivity of education teachers in Mazandaran province.

The method of the present study was integrated in terms of implementation method (qualitative-quantitative) and applied in terms of purpose. The research population in the qualitative section included Mazandaran University experts in the academic year 2019-20, in which 15 people were selected based on theoretical saturation and purposefully. The statistical population of the quantitative section also included teachers of education and training in Mazandaran province in the academic year 2019-20 (2287 people). The sample size was determined using Cochran's formula of 380 people who were selected by simple sampling method. The research tool was a researcher-made questionnaire in the qualitative part of semi-structured interviews and a researcher-made questionnaire in the quantitative part. The validity of the qualitative findings with the view of experts and the review strategy and reliability by the coding agreement coefficient method was 0.83. In the quantitative part, it was 0.91 with content validity and reliability with Cronbach's alpha method. To analyze the data in the qualitative part, the coding method was used with Maxquda18 software and in the quantitative part; exploratory factor analysis and structural equation modeling in Pls Smart3 software were used.

Qualitative findings showed that the selected code of electronic human resource management has 33 indicators in 5 central themes including (technological, structural, cultural, strategic and process) and the selected code of research productivity also has 36 indicators in 5 central themes including (individual, organizational, Economic, technical-operational and social). Also, the results of exploratory factor analysis showed that all factor loads of the structures were above 0.40. The results of structural equations also showed that electronic human resource management had a positive effect on research productivity (P <0.05).

According to the results of the present study, the planners of the education system should provide their research productivity by empowering teachers in the field of electronic human resources.

The aim of this study was to predicting teachers' autonomy support based on job stressors by mediating coping strategies. The research method was descriptive, and the research design was correlational and structural equations. The statistical population included first and second secondary school teachers in noor and chamestan public schools in the academic year 1398-99 numbering 636 teachers. Based on the Cochran's formula and stratified random sampling were selected 240 teachers. To collect data, the questionniar was used. Teacher as Social Context questionnaire of Wellborn et al (1992), Job stressors questionnaire of Otero-Lopez et al (2006) and the coping strategies of Carver (1997). Structural equation modeling was used to analyze the data. The results of the study showed that job stressors have a direct effect on coping strategies and autonomy support. Coping strategies have a direct effect on autonomy support. Job stressors indirectly affect autonomy support through coping strategies. The results of this study support the mediating role of coping strategies in the relationships between job stressors with the teachers' autonomy support.

The quality of education and research is one of the concerns that academic systems always strive to achieve. Undoubtedly, the existence of leading professors with appropriate scientific and ethical competencies is one of the effective fundamental factors in the quality of higher education systems.

The general purpose of the present study is to examine the dimensions of leading professors and determine the importance and priority of these goals. In terms of purpose, this research is an application that was done with a mixed approach (qualitative and quantitative) with an exploratory design. In the qualitative approach, the content analysis method was used and in the quantitative approach, the descriptive survey method was used. The statistical population consisted of 20 professors of Babol University of Medical Sciences in the qualitative department and 348 faculty members of Babol University of Medical Sciences in the quantitative department. Taking the saturation law, 10 people and in the quantitative part, based on Cochran's formula, 183 people were selected as a statistical sample using stratified random sampling method based on scientific rank. By analyzing the qualitative data, a researcher-made questionnaire designed by leading professors with 80 questions was designed. Data were analyzed by structural equation modeling in SPSS-23 and PLS-2 software.

The results showed that; Leading professors have three dimensions: "educational, research and individual".

Educational dimension with five components (teaching skills, educational technology, education management, evaluation skills and observance of educational rules), research dimension with two components (scholarship and research ethics) and individual dimension with five components (characteristics Appearance is professional ethics, honesty, creativity and discipline) which has a greater impact on the educational dimension with a factor load of 0.963 and a research dimension with a factor load of 0.894.

Providing an Indigenous Model of Police Training and Education with a Future-Research Approach As futurology provides an opportunity for decision-makers to explore future conditions and characteristics, it is considered a platform for development. Given that an indigenous model of the futures research process has not been presented in the NAJA with a futures research approach, this study seeks to provide an indigenous model of police training and education and in fact the main theme of the research is that the indigenous model of police training and education with an approach What is the future of research in NAJA?

This research is applied in terms of purpose and descriptive-analytical in terms of research method with the same approach. In order to conduct the research, first of all, with the reference of literature and research background, the factors affecting future research in NAJA have been counted using the content analysis method. Then, in order to achieve the conceptual model of research on relationships between identified factors, interpretive structural modeling (ISM) method and using a researcher-made questionnaire and data collection from 13 experts in the field of futures studies in NAJA have been used.

Considering the importance of parenting stress of mothers with mentally retarded children in their other roles, the aim of this study was determine the effect of family life education on parenting stress components of mothers with mentally retarded children in the parent domain.

This research was semi-experimental with pre-test and post-test design with a control group. The study population was mothers with mentally retarded children of Rasht city in the academic years 2017-2018. The research sample was 60 people who according to the inclusion criteria were selected by available sampling method and randomly replaced in two equal groups. The experimental group underwent of family life education for 12 sessions of 90 minutes and during this period the control group did not receive any education. To collect data were used from the researcher-made demographic information form and stresses of parenting index (Abidin, 1990) and analyzed by multivariate analysis of covariance method in SPSS-20.

The results showed that family life education led to reduce the components of parenting stress including feelings of competence, attachment, role restriction, and depression, relationships with spouse, health and social isolation in mothers with mentally retarded children in the parent domain (P˂0.05).

The results showed the effect of family life education on reducing parenting stress components. Therefore, therapists and health professionals can use family life education method along with other educational methods to improve family characteristics.

Today, in today's dynamic and risky world, in order to consolidate their survival, organizations must oblige their managers and employees to comply with ethical principles and acquire moral intelligence; Therefore, the purpose of this research was to present a structural model of the relationship between perfectionism and life expectancy with the mediating role of spiritual intelligence in the administrators of the Islamic Azad University of Mazandaran province.

In terms of purpose, this research was applied, and in terms of method, it was part of structural studies. Its statistical population consisted of all managers and deputy heads of units, heads and deputy heads of faculties, and heads of departments of Islamic Azad Universities of Mazandaran province, numbering 542 people. Based on Cochran's formula, 225 people were selected as a statistical sample using stratified random sampling. Asadpour's Perfectionism Questionnaire (2017), Schneider et al.'s Life Expectancy Questionnaire (1991), and King's Spiritual Intelligence Questionnaire (2008) were used to collect data. Univariate regression tests and structural equations were used to analyze the data.

The results showed that the direct paths by the variables of perfectionism and spiritual intelligence have a direct and significant effect on life expectancy, and also, regarding the indirect path, the effect of perfectionism with the mediation of spiritual intelligence on life expectancy was confirmed.

Considering the role of spiritual intelligence on life expectancy, it is necessary to plan in organizations to improve spiritual intelligence and identify and teach the destructive and adverse effects of perfectionism.

The aim of this study was to evaluate the mediating role of creativity in the impact of learning strategies on the innovation of secondary schools in Mazandaran province. The research is applied in terms of purpose and descriptive-survey in terms of research method. The statistical population includes teachers of girls 'and boys' secondary schools (tenth, eleventh and twelfth grades) in Mazandaran province in the summer of 1399 with a number of 6420 people (3870 females and 2550 males) and sampling method; It was determined as a multi-stage relative class based on Cochran's formula and 364. The data collection tool was a 66-item researcher-made questionnaire that confirmed the validity of the questionnaire in two ways, face validity and content. 0 to 1.00 was determined and the reliability was estimated and confirmed by Cronbach's alpha coefficient for learning, creativity and innovation strategies, 0.84, 0.83 and 0.86, respectively. Data were analyzed using SPSS software version 26 and AMOS version 26. Descriptive statistics and inferential statistics (exploratory and confirmatory factor analysis) were used to analyze the data. Findings showed that learning strategies had a significant positive effect on creativity and innovation and creativity on innovation and creativity played a mediating role in the impact of learning strategies on innovation. In the special model; Structural relationships between the dimensions of learning strategies on the dimensions of creativity and the dimensions of creativity on the dimensions of innovation, in most cases (14 relationships) were approved.

Induction motors are one of the most widely used machines that are used in industrial motion control and home systems. On the other hand, the optimal determination parameters have a direct and significant effect on their efficiency, longevity, and performance. Determining the initial parameters of these machines by the classic method is time-effective and costly. Therefore in recent years, the use of computer processing such as simulation, heuristical algorithm, ANN, etc. has become common as an alternative method in this field. Cuckoo Optimization Algorithm (COA) is a relatively new algorithm and it is less used to solve this nonlinear problem. In this article, the parameter of the induction machine will be estimated using COA. COA. In the following, the results obtained from the algorithm will be compared with the results obtained from several examples of conventional algorithms. Objective functions are defined as minimizing the true values of the relative error between the measured and estimated torques of the machine in different slips. Objective functions have been used to optimize the parameters of the induction motor with an approximate equivalent circuit and the induction motor with the exact circuit. The final results show the accuracy of operation and very good convergence speed of the algorithm in solving the problem.

The purpose of this study was to present an effective model of school-based management on Teacher's creativity in primary schools in Babol.
In general, this research was a descriptive field in terms of applied purpose, field control in terms of control and data collection in terms of data collection, and on the other hand, the present study can be considered as an exploratory research. The statistical population of the qualitative stage was 15 selected principals and teachers of primary schools in Babol city who were selected by purposive sampling method using theoretical saturation index compared to sampling from the statistical population. Babol, whose number was 1318 people, according to Morgan table, 302 people were selected as a sample by random sampling method. The research tool was a researcher-made questionnaire. The analysis method was coded in the qualitative stage and in the quantitative stage the structural equation model test was used using smart-pls and spss software.
The results of the qualitative phase of the research showed that the dimensions of school-based management in primary schools in Babol include stakeholder participation, social capital, school strategy, support factors, organizational performance, the possibility of school-based management and structural factors and dimensions of Teacher's creativity in principals and Teacher's of Babylon schools include the dimensions of organizational health, psychological capital, environmental factors, cultural factors, individual factors and the operational structure of the school. The results of the quantitative phase of the research showed that the effect of school-based management on Teacher's creativity was equal to (6.707) and path coefficient (0.547). The rate was 0.547.
According to the research findings, the effective model of school-based management on Teacher's creativity in primary schools in Babol city has a favorable fit.

A five-level Power Factor Correction incremental rectifier (PFC) is proposed in this paper. In this topology, the output voltage and current of the rectifier are controlled using the multilevel modulation and smart controller technologies. A multi-carrier pulse width modulation is used to create the switching pulse. In this topology, the number of semiconductor switches is reduced to 3. The smart controller is implemented using a Multilayer Perceptron (MLP) neural network and it is trained using the backpropagation algorithm. This controller is used instead of the well-known PID controller to control the input voltage and current. It should be noted that in this work, the goal is to design an intelligent controller using a neural network instead of a PID controller. The results obtained using this controller as compared to the PID controller show a decrease in the peak voltage, an increase in the rise time, and a ripple reduction in the output voltage. This study is conducted using the Simulink environment in MATLAB and the results suggest that a smart controller can be an alternative to the PID controller.

Cloud computing is a massively distributed system in which existing resources interact with user-requested tasks to meet their requests. In such a system, the problem of optimizing Resource Allocation and Scheduling (RAS) is vital, because recourse allocation and scheduling deals with the mapping between recourses and user requests and also is responsible for optimal allocating of tasks to available resources. In the cloud environment, a user may face hundreds of computational resources to do his work. Therefore, manually recourse allocation and scheduling are impossible, and having a schedule between user requests and available recourses seems logical. In this paper, we used Whale Optimization Algorithm (WOA) to solve resource allocation and task scheduling problem in cloud computing to have optimal resource allocation and reduce the total runtime of requested services by users. The proposed algorithm is compared with the other existed algorithms. Results indicate the proper performance of the proposed algorithm than other ones.

The purpose of this study was to design and develop a competency model for primary school principals in education in Mazandaran province.

The present study is a quantitative research in terms of applied purpose and based on the nature of the data and is a descriptive survey based on the data collection method. The statistical population of this study was all primary school principals in Mazandaran province that 292 people were selected by cluster random sampling. The main tool for data collection was a researcher-made questionnaire on competency dimensions. The reliability of the questionnaire was 0.96 through Cronbach's alpha method. In order to analyze the research data, descriptive statistics, confirmatory factor analysis, mean test, one-way analysis of variance and Tukey test, one-sample t-test, Friedman and Wilcoxon test were used.

showed that competency dimensions have a different role among primary school principals. According to Friedman and Wilcoxon test, the highest priority was related to the component of using the positive capabilities of oneself and others, and decision-making, team activities, professional skills, leadership skills, communication skills, encouraging typology and change, and work communication were the next priorities, respectively.

According to the value of the level of significance of the variables (greater than 0.05) indicates the acceptability of the variables and following the normal distribution and using the parametric test. The highest mean is related to the work relationship variable (3.91) and the lowest mean is related to the variable of encouragement, innovation and change (3.66). From the final research model 0.0001, the average standard deviation is / 517, the average standard error is / 554. And the degree of fit of the final research model was equal to 3.785.

Penetration of distributed generation resources including wind power and solar photovoltaicunits in distribution system has been increased, and it is important to examine their impact on the distribution systems’ operationin term of reliability. In this paper, the multi-objective dynamicfeeder reconfiguration is introduced as an efficient approach for providing an energy management schedule in the distribution gridconsidering energy lossandenergy not supplied as the objective functions in the presence of renewable energy sourcesandcapacitor units.In addition, the effect of uncertaintyrelated to power demand is considered in the evaluations. Tothis end, anenhancedparticle swarm optimization algorithm is provided in this paper,the proposed approach is applied to the 33-node testing system.

Flexible AC Transmission System (FACTs) devices are used in power transmission networks to increase maximum power transmission and stability. On the one hand, they help to damp low-frequency oscillations for both local and internal areas. But on the other, the design of these devices with uncoordinated Power System Stability (PSS) may degrade the performance of the power system. In addition, the power systems are vast, complex, and nonlinear. Linear control strategies do not have satisfactory performance for these systems, especially when some disturbances occur. In this study, a nonlinear Coordinated Control Strategy based on Recurrent Neural Network (CCSRNN) is designed to control PSS and Static Synchronous Compensators (STATCOM) coordinates for a standard multi-machine power system and also using the Multi-Bound Power System Stability (MB-PSS) and Multi-Bound Recurrent Neural Network MB-RNN PSS and compare the result of each one for having better stability of the system. The results simulation proves that the controller leads to transient stability and low-frequency oscillation.