مطالب

Objective: The purpose of the current study was to investigate the mediating role of dark personality traits in explaining the structural relationships between the desire to control others and women's sense of happiness. Methods: The research method was descriptive correlational with a structural equation modeling approach. The population of the study comprised all married women in Tehran in the year 2021. The sample size was 448 participants, selected through purposive convenience sampling and assessed using the Taghizadeh and Shadmehri Happiness Scale (2016), the Graham-Kwan and Archer Controlling Behaviors Scale (2005), and the Johnson and Webster Dark Personality Traits Scale (2010). Data analysis was performed using structural equation modeling. Findings: The analysis indicated that the structural model of the study fits well with the collected data, and dark personality traits significantly and negatively mediate the relationship between the desire to control others and women's sense of happiness. Conclusion: Thus, it can be stated that the higher the desire to control others and the presence of dark personality traits, the lower the sense of happiness, which can be a useful insight in couples' counseling.

Objective: The present study aimed to determine the efficacy of acceptance-based therapy in enhancing intimacy and marital forgiveness and reducing marital burnout in women affected by extramarital relationships. Methods: This was a quasi-experimental study with a pretest-posttest and follow-up design, including a control group. The population consisted of all women affected by their husband's extramarital relationships who attended specialized family counseling centers in District 6 of Mashhad. From this group, 30 participants were selected through purposive sampling based on inclusion and exclusion criteria. Data were collected using the Rey et al. (2001) Marital Forgiveness Scale, the Pines (1996) Marital Burnout Scale, and the Thompson and Walker (1983) Marital Intimacy Scale. Participants were then randomly assigned into three experimental groups and one control group, each consisting of 15 individuals. Data analysis was conducted using repeated measures analysis of variance with the Statistical Software Package SPSS-20. Findings: The findings indicated that acceptance and commitment therapy was effective in improving intimacy, marital forgiveness, and reducing marital burnout in women affected by extramarital relationships (P < 0.01). The results were also sustained at the follow-up stage. Conclusion: Therefore, it can be concluded that acceptance and commitment therapy was effective in enhancing intimacy, forgiveness, and reducing marital burnout among women impacted by extramarital relationships, and this therapeutic approach can be utilized to address psychological issues in couples affected by extramarital relationships.

Objective: The aim of the present study was to compare the effectiveness of cognitive-behavioral therapy (CBT) and acceptance and commitment therapy (ACT) on relationship obsessive-compulsive disorder (ROCD) in women attending health centers. Methods: The research design was applied in terms of aim and was a quasi-experimental study with a pretest-posttest design, two experimental groups, a control group, and a two-month follow-up period. The statistical population included all women referred to health centers and a private counseling center in Chalous city in 2023. Twenty participants were selected through convenience sampling and randomly assigned to two experimental groups and one control group. To collect data, the Relationship Obsessive-Compulsive Disorder Questionnaire by Doron et al. (2012) was used. For statistical analysis, SPSS-26 software, repeated measures ANOVA, and Bonferroni post hoc test were utilized. Findings: The results indicated that CBT (F=6.92, p<0.01) and ACT (F=6.97, p<0.01) had a significant impact on ROCD scores over time (p<0.01), suggesting that both interventions significantly reduced ROCD in women attending health centers. A significant difference was found between pretest and posttest scores for ROCD in both approaches (p<0.01), indicating the meaningful effectiveness of these two therapeutic methods. No significant difference was observed between posttest and follow-up scores (p>0.05), indicating the stability of the effects. Conclusion: Based on the findings, it can be concluded that both CBT and ACT can be used to reduce ROCD in women attending health centers, with no significant difference in the effectiveness of these therapeutic methods.

This paper aims to evaluate whether features of the public sphere are present in the activities of Iranian Twitter users. To achieve this objective, the paper provides a synthesis of computational social sciences, network analysis, and Habermas's approach to the public sphere. The data comes from all Iranian users, including those who are actively engaged in political issues on Twitter. This method of data collection focuses on the computational aspects of the users. Added information on how they conducted networking and facilitated public opinion, which resulted in increased user interaction, would complete the data-gathering process to align with the theoretical claims. It also indicates that Twitter was a platform on which Iranian users fulfilled the requirements of the public sphere. Some of the findings indicate that there were 48,076 users connected with 25,534,713 edges, and together, they formed three communities. While one of the communities focused solely on social issues, the other two engaged in a rival political challenge. It seems that this situation exemplified the main characteristic of the public sphere, namely, the freedom to express political views and the formation of diverse communities with competing ideas.

Enterprises employ information systems to carry out their day-to-day business operations. Organizations implement business policies to enhance their competitive edge through efficient process management. This paper aims to propose a method that combines two approaches: evidence-based policymaking and process mining, to facilitate process reengineering. While numerous evidence-based approaches utilizing process mining techniques have been employed to assess process performance through measurements, these methods often focus on individual process instances. This is in contrast to Business Process Redesign (BPR) assessments, which encompass more comprehensive performance measurements, including overall process performance. This study proposes a method for analyzing process execution time, which includes Cycle time, Lead time, and Activity time. The aim is to support evidence-based policymaking in information systems through the use of process mining. Several key performance indicators (KPIs) have been defined for evidence-based management of business processes to identify process bottlenecks. The results of this paper demonstrate the application of process mining in analyzing the execution time of business processes. Using a real-world dataset, the study identified time-consuming activities and provided key performance indicators (KPIs) to guide process optimization. These findings demonstrate the effectiveness of process mining in identifying bottlenecks and inefficiencies within operational processes, ultimately leading to improved process performance and efficiency.