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Job burnout results in decreased productivity and the depletion of human resources, leading to detrimental impacts on individuals, families, and society. This study aimed to explore the relationships among five key variables: stress, depression, anxiety, job burnout, and teachers' working memory. The study population comprised teachers from Zabul city during the 2022-2024 academic years. A sample of 120 teachers was selected using cluster random sampling for descriptive and correlational analyses. Working memory was assessed using the Working Memory Questionnaire (Daneman & Carpenter, 1980). Stress, anxiety, and depression were measured using the Depression, Anxiety, and Stress Scale (DASS-21). Job burnout was evaluated with the Maslach and Jackson's 1980 Burnout Inventory (MBI). The study utilized descriptive statistics and Pearson's correlation coefficient, as well as step-by-step regression analysis, to examine the relationships among stress, depression, anxiety, job burnout, and working memory. The findings indicated a strong correlation among these variables. Regression analysis showed that burnout was the most significant predictor of teachers' working memory compared to the other three variables.

Human society faces new challenges, especially the ones damaging the human brain and cognition. The addictive use of cyberspace essentially causes these challenges. This study was a comparative descriptive-analytical study conducted to diagnose cognitive impairments of cyber addiction through a QEEG test and to investigate the effectiveness of cognitive intervention on the cognitive functions involved in the mental imagery of adolescents. The statistical population of the study included 9-12 year-old students who visited Mehraz Andisheh clinic in Shiraz. The available sampling method was used and 40 people with research conditions (including 20 girls and 20 boys) were randomly assigned to two control and experimental groups. This research was conducted in 2023. The study used a mobile-based social network addiction diagnosis questionnaire (Ahmadi et al.; 2015), software (RehaCom et al., IVA-2, Neuroguide), an EEG device, and Kim Carrad visual memory test. After being selected and called to the place of research, people who had the conditions to enter the study first completed the consent form. Then, the  EEG recording was conducted for 5 minutes with eyes open and closed. Also, as a pre-test, they performed a visual attention test (IVA-2) for visual memory (Kim Carrad test) and a visual processing test (Captain Log). Then, for ten sessions, the participants in the experimental group received cognitive rehabilitation by RehaCom software, each lasting for 45 minutes with an interval of one day. After the completion of the treatment sessions, the evaluations were repeated. In this research data analysis was done using SPSS software 26 and Analysis of Covariance (ANCOVA). The study findings showed that the cognitive intervention led to a significant difference at the 0.05 level in the pre-test and post-test scores of the experimental group while there was no significant difference between the pre-test and the post-test in the control group. Based on the results, it can be seen that the intervention led to a difference in the pre-test and post-test and a significant difference between the pre-test and post-test groups in the experimental group at the 0.05 level. The study results also showed a significant relationship between the cognitive impairments of cyber addiction and brain wave patterns. These results emphasize that brain signals may be used as an indicator to diagnose cognitive impairment in people with cyber addiction. Also, the results showed that RehaCom software could improve the cognitive functions involved in the mental imagery of teenagers suffering from Internet addiction.

the aim of this study was to investigate the emotional intelligence components as predictors of entrepreneurship in people. the sample consisted of 380 undergraduate students (190 males and 190 females) who were studying at different faculties of Shahid Chamran University in Ahwaz. these individuals were randomly selected from the whole list of students. in this research, a number of measurement tools were used for gathering information. Which include; emotional intelligence questionnaire BAR-ON and questionnaire measuring of your entrepreneurial traits MET, whose validity and reliability were repeatedly investigated in Iran. also, to increase the accuracy of measurement tools, the reliability of some of these questionnaires was calculated using Cronbach 's alpha and split - half methods. the analysis of the present research data was done in both descriptive and inferential levels. at the descriptive level, average and standard deviation of the scores of the subjects and in the inferential level, Critical analysis was used in a simultaneous and step-by-step method. the results showed that except components of reality test and Impulse control of emotional intelligence, Other variables are good predictors for entrepreneurship in people. in fact, this study showed that is possible Entrepreneurship and non-entrepreneurship of people can be predicted from emotional intelligence variables. This study showed that it is possible to predict Entrepreneurship and non-entrepreneurship based on emotional intelligence variables. finally, the results obtained of this study were discussed in detail.

Introduction and Objective: Since their development the Wisconsin Schizotypy Scales have been extensively used to assess schizotypy in clinical and nonclinical samples. The purpose of this study was to examine the psychometric properties of the short forms of the Wisconsin Schizotypy Scales (SWSS) in an Iranian population. Research Methodology: This research was a correlational design. Three hundred and twelve participants from universities students along with thirty-four schizophrenic patient, and fifty theirs first degree relatives were included in this study. Participants answered to Persian version of SWSS, Short form Oxford-Liverpool Inventory of Feelings and Experiences (SO-LIFE) Questionnaire and Coleridge’s STA scale. Findings: The results showed internal consistency in terms of Cronbach's α, and test–retest reliability. The results of the two methods showed a good reliability for the shortened WSS. Concurrent validity was tested by comparing with SO-LIFE and STA which showed acceptable relationship. Differential validity was tested by comparing SWSS scores between schizophrenic patients, theirs first degree relatives and normal people which was acceptable. Conclusion: Moreover, the factor structure of Persian version of SWSS showed two factor solutions, and resembles that seen in previous related studies, providing further cross-cultural empirical evidence of the two factorial structures of the WSS. The present results provide the further demonstration of the validity of the shortened WSS and support their use in the study of schizotypy particularly among Iranian population.

 Objective: Pregnancy is a very important period that sometimes comes with various complications such as anxiety during pregnancy. Therefore, timely and early identification of this anxiety can play an important role in the health of pregnant women. This research aimed to explore the association between alexithymia and psychological well-being in pregnant women during their 5th to 7th month of pregnancy.Methods: The study population consisted of pregnant women from the Mazandaran province, Iran, during 2022-2023. Employing purposive sampling, 200 pregnant women were selected from health centers. Participants completed the Toronto Alexithymia Scale-20 (FTAS-20) and the Psychological Well-being Scale (RSPWB). The data were analyzed using correlation and regression tests.Results: analyses revealed an inverse relationship between alexithymia and psychological well-being (r = -0.388, p < 0.01). Approximately 53% of the variance in psychological well-being scores could be attributed to alexithymia.Conclusion: In conclusion, alexithymia serves as an effective predictor of maternal psychological well-being.