مسعود حامدی

The purpose of research was to identify the challenges of the secondary education system and its relationship with the labor market and to provide a solution. This research was conducted with a qualitative approach. The statistical population was experts, managers the country in the field of connection between education and the labor market in 2022-03, and 13 people were selected according to the principle of theoretical saturation with the purposeful sampling method. The results of the challenges led to the identification of 46 basic themes, 13 organizing themes, which include organizational factors in the form of 4 global themes (unproductive teaching and learning process, weak structure of occupational education guidance regulations, lack of vocational education needs assessment); human factors (problems related to administrators, problems related to counselors, problems related to teachers, problems related to parents, problems related to students, problems related to educational planners); Trans-organizational factors (existence of educational gap, educational injustice, socio-cultural poverty) and economic and physical factors (financial and infrastructure problems). Also, in the review of solutions to solve the existing challenges, 45 basic themes and 13 organizing themes were identified, which in the form of 5 global themes include the development of a road map for vocational education guidance (revision of educational laws, education based on practical ability and entrepreneurship, communicating with groups Reference); Individual improvement of students ; Improving the quality of teaching and learning methods ); Strengthening the effectiveness of educational actors , improving the performance of managers) and government support (financial and physical development).

The quality and effectiveness of the organizations' performance is a vital factor in the realization of development and welfare plans of the organizations. Successful implementation of job performance requires the recognition of the effective factors. The objective of the present study was to investigate the roles of personality traits and job involvement in the job performance of the NAJA staff in Tehran city staff.This study was descriptive-correlational. The statistical population included all NAJA, municipal working in Tehran in 2021. From among the population, 130 individuals were selected through random sampling method. The instruments included Demographic questionnaire, Job Performance questionnaire, Job Involvement questionnaire, and revised NEO Personality Inventory. Content validity was examined through the qualitative method. In addition, the reliability of the questionnaires was examined through the internal consistency method using Cronbach's alpha coefficient. In order to analyze the data, SPSS software (version 25) and Smart PLS software (version 3.3) and path analysis were used.The direct effect of conscientiousness on the staff’s job involvement was significant. Moreover, the direct effects of conscientiousness and job involvement on the staff’s job performance were significant. In addition, the indirect effects of extraversion, agreeableness, and conscientiousness on job performance (through the mediation of job involvement) were not significant

The quality and effectiveness of the performance of organizations is a determining and vital factor in the realization of development plans and welfare of that organization. The aim of this study was to determine the mediating role of job involvement in the relationship between personality traits and job performance in the staff of department of education, NAJA and Tehran Municipality.

The present study was performed by descriptive-correlation method. The statistical population included all staff of department of education, NAJA and Tehran Municipality in Tehran in 2021. Among them, 400 people were selected by simple random form by random number table method and single-stage cluster random methods. In this study, demographic questionnaire, "Job Performance Questionnaire", "Job involvement Questionnaire" and "NEO-Five-Factor Inventory" were used. Content validity was assessed by qualitative method and reliability by internal consistency method was calculated by calculating Cronbach's alpha coefficient for questionnaires. Data analysis was performed in SPSS. 25 and Smart PLS.3.

The direct path of responsibility (β = 0.35, P <0.05) was significant with employee job involvement (β = -0.46, P <0.05). Direct path of extraversion (β = 0.094, P <0.05), responsibility (β= 0.29, P <0.05), and job involvement (β = 0.042, P <0.05). It was significant on the job performance of employees. The overall path of extraversion (β= 0.089, P <0.05), and responsibility (β = 0.31,   P <0.05), was significant with employees' job performance. Indirect path of extraversion (β= -0.004, P <0.05), agreeability (β=0.000, P<0.05), and responsibility (β=0.015, P<0.05), mediated by job involvement on job performance was not significant.

Considering the significance of the direct path of responsibility, extraversion and job involvement with employees 'job performance, counselors and psychologists are suggested to take measures to increase job involvement and responsibility by increasing the role of these variables in increasing employees' job performance.

In this paper, the resilience of the Ardabil province power distribution network was investigated at the level of medium voltage feeders by studying the interruptions of the feeders caused by weather conditions. To do this, the weighted sum of the “number of failures due to weather condition (NFW)”, “failure time duration due to weather condition (FTW)”, and “energy not supplied due to weather condition (ENSW)” were used as an index to assess the resilience of the network. Considering the power interruptions of the last five years, for the interruptions caused by the weather conditions, the numerical value of the defined index for the electricity distribution network of Ardabil province resulted in about 20%, which indicates that the resilience of this network is about 20% less than its ideal value (it is about 80%). To reduce the defined index (increase the resilience), one of the preventive methods is to harden the equipment used in the distribution network for which the feeders that have the highest impact on the defined index were extracted as high-risk feeders to be hardened. Also, to increase the resilience of the Ardabil electricity distribution network, some suggestions have been made to harden high-risk feeders. For this purpose, a number of high-risk feeders were visited to determine possible design discrepancies (contrary to the standard design announced by Tavanir) or their incorrect implementation. By comparing the current status of the studied feeders with the design standards, solutions were provided to correct and increase the strength of these feeders (preventive action to increase resilience). The implementation of the proposed hardening methods is expected to reduce the number of interruptions (due to weather conditions), which will decrease the obtained index and increase the resilience of the network. Moreover, based on this study, it was found that wind, severe storms, rain, thunderstorms, and snow are the most common causes of outages at the level of medium voltage feeders, respectively.

A stand-alone microgrid usually contains a set of distributed generation resources, energy storage system and loads that can be used to supply electricity of remote areas. These areas are small in terms of population and industry. Connection of these areas to the national distribution network due to the high costs of constructing transmission lines is not economical. Optimal utilization and economic management of production units and storage devices are important issues in isolated microgrids. During optimum utilization, of renewable energy harvesting is maximized and fuel cost of diesel units reduces as much as possible. In this paper, the optimization problem is designed and solved as Linear Programming (LP). The cost of diesel generator unit depends on its production. Also, the fact is considered that the efficiency of diesel generator units is not constant for all amount of production. As a solution for this challenge demand side management plans have been proposed. On the other hand, load uncertainty is considered in this paper. Several scenarios are simulated by GAMS software for different conditions of a typical microgrid. The simulation results show the success of the proposed method in reducing costs and fossil fuel consumption and increasing the consumption of renewable energy.

27 different populations of Triticum boeoticum were gathered from west and North West of Iran for their grouping using morphological traits. All populations were assessed in farm based on completely random design with three replications in 1393. The measured traits include stem length with spike, spike length with and without awn, awn length, flag leaf length, the woolly leaves, peduncle length, spikelet length, number of grains per spikelet and 100-grain weight. The result showed that the most diversity were observed in hairy leaf and flag leaf length traits according to the variation coefficient in studied traits. All populations are located in three groups based on cluster analysis. Obtained grouping was not agreed with geographical grouping and showed more diversity into populations gathered from the same province. Based on factor analysis, three factors were recognized that explain 76.65 percent of total variation. The first factor allocation of 30.09 percent of the total variation is mainly explained by the traits of hairy leaf, spike length with awn, awn length, grain number per spikelet and was named as a spike morphology factor. The second factor is explained 23.12 percent of the total variation and named length factor and third factor allocation 23.12 percent of the total variation and name were grain filling factor. Biplot figure based on two first factor, all populations were placed on three groups. The obtained results from factor analysis were conformed the result of cluster analysis and confirmed them. The result indicated that when two first factors legitimized high percent of variation, can be used for grouping.