مطالب

Purpose: The aim of the present study was to design a quantum leadership model in Iranian public universities Methodology: The research method was applied in terms of purpose and qualitative in terms of data collection method. The statistical population of the research in the qualitative section included university experts who were selected as the sample size using the snowball sampling method and the principle of saturation of 10 people. In the quantitative section, the statistical population was the available scientific research articles on the subject, from which 32 articles were selected. In this study, library method, observation, in-depth interview and semi-in-depth interview were used to collect data. In a small part, content analysis was used. The interview with the experts indicated that the interview was valid, and in order to calculate the reliability, the reliability method was used between the two coders, and the results indicated that the interview was stable and valid. For the analysis of research data in the qualitative section, point analysis of content and Delphi method, and in the quantitative section, interpretive-structural modeling was used. Findings: The results of the study showed that the components of quantum leadership included quantum view, quantum thinking, quantum sense, quantum cognition, quantum operation, quantum trust and biocenology. On the other hand, the results showed that there is a significant difference between the existing leadership and the desired leadership. Conclusion: Attention to quantum thinking and Its point of view is necessary to achieve quantum leadership, therefore the four main factors can be explained in explaining why quantum leadership includes: uncertainty phenomena, environmental complexities, extensive and reciprocal interactions and continuous and rapid changes that Taken from the characteristics of the quantum paradigm, it is a phenomenon and necessitates the use of a certain style of leadership as quantum leadership in the organization.

Purpose: The aim of this study was to identify the components of distance education in rural areas in order to provide a model in secondary schools in the country. Methodology: The combined research method was exploratory. In the qualitative part of the study, content analysis with inductive approach was used. Research environment in this section, 84 documents including 67 articles and books, 17 texts of interviews in the field of distance education that were selected as a sample, the components obtained in this research include 7 main components including management and leadership infrastructure, Economic infrastructure, technical infrastructure, educational infrastructure, socio-cultural and value infrastructure, organizational infrastructure and human infrastructure and 25 sub-components. The relative content validity coefficient was used to assess the validity and the Holsti coefficient was used to determine the reliability of the themes. The extracted reliability coefficient was 0.98 which indicated the high reliability of the themes. In the quantitative part, 290 members of the sample were selected by Cochran method and stratified random sampling method. The research tool was a 70-item researcher-made questionnaire. To evaluate the validity of the questionnaire, face, content and structural validity were used, and to assess its reliability, Cronbach's alpha with a value of 0.90 was used. Descriptive statistical methods were used in the analysis of quantitative data including frequency distribution tables and graphs and in the inferential section of confirmatory factor analysis. According to the relative Chi-square fit indices, adaptive fit, adaptive fitting and barbell, the model had a good fit. Findings: The results showed that among the identified components, educational infrastructure was ranked highest and human infrastructure was ranked lowest, respectively. Discussion: E-learning is useful for rural areas in terms of knowledge, better job opportunities, advancement and learning of developing technologies in marketing, and focusing on rural areas helps people's social development and mental ability.

Purpose: The aim of the present study was to compare mindfulness-based cognitive therapy and grammatical mental imagery with cognitive processing on the emotional processing of mothers with children with autism spectrum disorder. Methodology: The research was applied in terms of purpose and in terms of cross-sectional data collection method and quasi-experimental research method was pre-test-post-test with a control group. The statistical population of the present study is all mothers with children with autism spectrum disorder in two schools under education in the city. Ahvaz had 105 students in 2019. A total of 45 mothers with children with autism spectrum disorder were randomly selected and 15 people in the group of cognitive therapy based on mindfulness, 15 people in the group of grammatical mental imagery with cognitive processing and Fifteen people were in the control group. Assessment tools included Baker et al. (2010), mindfulness-based cognitive therapy protocol and grammatically processed grammatical mental imagery protocol. Data analysis using analysis of covariance And was done by SPSS software version 24. Findings: Based on the research findings, the effect of statistical group type (control and experiments) on the recorded scores of emotion processing (p = 0.00, F = 157/407) and the separate effect of the test time variable (p = 0.00, F / 107/15 And the significance of the simultaneous effect of group type and test status (pre-test and post-test) on emotion processing scores (p = 0.00, F = 26.757). Comparing the two methods of cognitive therapy and imaging, a significant level equal to 0.00 and less than the error level of 0.05 has been obtained. Conclusion: Based on the research findings, cognitive therapy based on mindfulness and grammatical mental imagery with cognitive processing is effective on emotional processing of mothers with children with autism spectrum disorder. Also, between the effectiveness of cognitive therapy based on mindfulness and grammatical mental imagery. There is a significant difference with cognitive processing in emotional processing of mothers with children with autism spectrum disorder.

Purpose- Among the most important challenges in the agricultural sector are lack of optimal use of production factors, multiplicity of parcels and dispersion of agricultural lands. Land consolidation is one of the effective solutions which can change the size of fields and organize them to increase production, especially in paddy fields, which facilities agricultural development and ultimately achieves a sustainable livelihood in rural areas. The purpose of this study is to evaluate the success rate of paddy field consolidation project through the study of a group of farmers who are included in the land consolidation project. Design/Method/Approach- The population of the study consisted of 285 farmers from 11 villages of Choobar rural district in Shaft County who have been selected by regular sampling method. To collect the data, library and survey methods (observation and questionnaires) have been used. Cronbach's alpha was used to measure the reliability of the research tools, and in the analytical part, single-sample t-test was used to evaluate the success rate of the project in Choobar rural district; To investigate the relationship between land consolidation project and improvement in economic indicators of rural households, initially Spearman correlation coefficient was used, then simple regression test and coefficient of determination R2 were used to measure the effectiveness of the project on economic indicators. Finding- The research findings on the level of economic and social dimensions and the assessment of the success rate of the project in Choobar rural district showed the project was moderately to highly successful in the study area. The effects of the project in improving the socio-economic indicators of rural households in Choobar rural district are such that the highest correlations were found between the project and economic indicators in the use of machinery, land infrastructure, productivity, household employment, ease of access to machinery and manpower, income, and investment; At the level of social indicators the highest correlations were respectively found in interpersonal and generalized trust, objective participation, sense of physical security, insurance services, formal participation, conflict reduction and institutional trust. From farmers’ perspective, among the socio-economic indicators, the infrastructure indicator which is created by the government and the use of machinery after the implementation of the project, and the ease of access to machinery and manpower, interpersonal and generalized trust have had the greatest impact on the implementation of the project.