Transactions on Data Analysis in Social Science2821-19364320220901Forecasting the position of science, technology, and innovation in higher education institutions of the world in the global ranking system using artificial neural networks10711222845410.47176/TDASS.2022.107ENS.FatahiAssistant Professor, Information Technology Research Institute, Iran Science and Information Technology Research Institute (Irandoc), Tehran, IranF.AmiriAssistant Professor, Department of Computer Engineering, Hamedan University of Technology, Hamedan, IranJournal Article20220408In recent years, evaluating the performance quality of universities and higher education institutions has become a global priority. To meet this need, numerous ranking systems have been developed, each employing different indicators to assess institutional performance. In Iran, the "Positioning System of Science, Technology, and Innovation of Iran in the World" (NAMA), implemented by the Iranian Research Institute for Science and Technology (IRANDOC), provides regular reports on the status of national universities and higher education institutions according to key global benchmarks. Beyond assessment, however, the ability to predict future performance based on past and current data is a vital component of strategic planning and decision-making. Institutions that can forecast trends with minimal error are better positioned to identify effective strategies and improve their competitiveness in global ranking systems. This study applies artificial neural networks (ANN) to predict the rankings of universities and higher education institutions within the Times Higher Education (THE) framework. The results demonstrate that the proposed ANN model is capable of predicting THE ranking indicators, overall scores, and institutional standings with satisfactory accuracy. These findings highlight the potential of ANN as a decision-support tool for improving the global visibility and strategic planning of universities.https://www.transoscience.ir/article_228454_625aca36752ac6c11698ac941d766abb.pdfTransactions on Data Analysis in Social Science2821-19364320220901Evaluating the Effectiveness of Acceptance and Commitment Therapy in Reducing Pain Intensity among Women with Breast Cancer11312122845510.47176/TDASS.2022.113ENZ.AvishMaster’s Student in General Psychology, Islamic Azad University, Ayatollah Amoli Branch, Amol, IranJournal Article20220412The present study aimed to investigate the effectiveness of Acceptance and Commitment Therapy (ACT) on pain levels in women with breast cancer, a population often experiencing chronic pain and psychological distress due to the disease and its treatments. The study employed a single-case experimental design to provide an in-depth analysis of therapeutic outcomes. Two female patients diagnosed with breast cancer and meeting the inclusion criteria were recruited from Imam Hossein Hospital, Tehran. Each participant underwent eight structured ACT sessions, each lasting approximately 2.5 hours. The intervention emphasized acceptance of unpleasant internal experiences, cognitive defusion, mindfulness techniques, and clarification of personal values to enhance psychological flexibility and adaptive coping. Pain intensity was assessed with the McGill Pain Questionnaire (MPQ) at multiple time points: baseline (pre-treatment), mid-treatment (sessions 2, 4, and 6), post-treatment (session 8), and a two-month follow-up. Data were analyzed using graphical representation to examine individual patterns of change. Findings revealed a clinically significant reduction in pain intensity across treatment and sustained improvements during follow-up for both participants. These results suggest that ACT, by promoting adaptive attitudes toward pain, enhancing coping strategies, and reducing experiential avoidance, can be considered an effective complementary psychological intervention for pain management in women with breast cancer.https://www.transoscience.ir/article_228455_965db181b5fc684eb5eaffa90497ddc3.pdfTransactions on Data Analysis in Social Science2821-19364320220901Assessment of Marital Satisfaction Using Support Vector Machine (SVM)12213022845610.47176/TDASS.2022.122ENS. S.Mostafavi AlnouriMaster’s Student in General Psychology, Islamic Azad University, Roudehen Branch, Tehran, IranH.Houshmandan BehbahaniLecturer, Iranian Azin Steel Center, University of Applied Science and Technology, Tehran, IranE.DivandariIranian Azin Steel Center, University of Applied Science and Technology, Tehran, IranJournal Article20220502The present study aimed to evaluate marital satisfaction using the Support Vector Machine (SVM) approach, a machine learning method known for its high classification accuracy. A cluster-randomized sample of 200 students from the Islamic Azad University, Science and Research Branch, Tehran, was selected to participate in the study. Marital satisfaction was assessed using the Enrich Marital Satisfaction Scale, a widely recognized instrument for evaluating relationship quality. Based on the results, participants reporting severe and low levels of satisfaction were classified into the “marital dissatisfaction” group, while those reporting moderate, high, and very high satisfaction were classified into the “marital satisfaction” group. Due to the relatively limited sample size, the SVM model was trained to perform binary classification and subsequently applied to predict outcomes for unobserved cases. Comparison of the model’s predictions with actual outcomes demonstrated a high level of accuracy, indicating the robustness and efficiency of the SVM approach in this context. The findings underscore the value of machine learning methods in psychological and social research, particularly in predicting complex constructs such as marital satisfaction. Furthermore, the application of SVM provides psychologists with a practical, cost-effective, and time-efficient tool for early identification of individuals at risk of marital dissatisfaction. This predictive capacity can contribute to the design of targeted counseling strategies, preventive measures, and evidence-based interventions that aim to strengthen family foundations and promote marital well-being.https://www.transoscience.ir/article_228456_66bb32616e97da1462012be4d68ca71c.pdfTransactions on Data Analysis in Social Science2821-19364320220901Examining the Impact of Trust Dimensions on Electronic Banking (Case Study: Bank Sepah, Isfahan City)13113722845810.47176/TDASS.2022.131ENM.Safarpour LimaMaster’s Student in Information Technology – E-Commerce, MehrAstan Higher Education Institute, Gilan, IranA.AndalibPhD Student in Computer Engineering – Software, Kashan University, Kashan, IranJournal Article20220509Nowadays, service industries occupy a significant share of the global economy. Similar to how manufacturing industries sell goods; service industries provide services to customers. However, unlike manufacturing, service industries focus not only on attracting new customers but also on retaining existing clients, especially key customers, to maximize profitability. The banking industry is one of the most important service sectors. Given the intense competition in this industry, banks need to employ various strategies to satisfy and retain their customers. In many countries, a considerable number of clients are still hesitant to adopt electronic banking. Convincing customers to use new methods of banking services is not straightforward, and with the rapid growth of e-commerce, trust has emerged as a crucial factor in the business environment. This study aims to investigate the impact of trust dimensions on electronic banking. The research is applied and descriptive in nature. The statistical population includes the customers of Bank Sepah in Isfahan, and a sample of 384 participants was selected based on Morgan’s table. Data collection was conducted using two researcher-designed questionnaires, developed according to trust dimensions and the components of electronic banking adoption, and validated for reliability and validity through scientific methods. The reliability of the first and second questionnaires was confirmed with Cronbach’s alpha coefficients of 0.834 and 0.816, respectively. Pearson correlation analysis was used to analyze the data. The results indicated that factors such as security, privacy protection, usefulness, perceived ease of use, predictability, service quality, website quality, and proper internet accessibility have a significant impact on trust in electronic banking.https://www.transoscience.ir/article_228458_937101891bd1c2b2a6755c7ed8d70752.pdfTransactions on Data Analysis in Social Science2821-19364320220901Designing a Novel Educational Structure for Organizational Commitment Using a Fuzzy Model (Case Study: Faculty Members of Iran's Open Universities)13814622845910.47176/TDASS.2022.138ENM.Arab SadeghabadiMaster’s Program in Organizational Design, Department of Public Management, Faculty of Management, Islamic Azad University, North Tehran Branch, Tehran, IranJournal Article20220330In today’s complex and competitive world, organizations encounter critical challenges that directly influence their survival and long-term growth. This study addresses the design of a novel educational structure aimed at fostering and enhancing organizational commitment among faculty members of Iran’s Open Universities. To achieve this objective, a fuzzy modeling approach was employed as a robust analytical tool for evaluating the relationship between educational factors and organizational commitment. The findings revealed a significant and positive correlation between the proposed educational structure and overall organizational commitment. Specifically, the analysis demonstrated that subdividing inputs into distinct dimensions teaching–learning processes (0.761), management skills and expertise (0.801), educational assessment (0.692), educational vision and mission (0.818), and job satisfaction (0.770) had notable impacts on strengthening commitment levels. Among these, educational vision and mission, together with management skills and expertise, were identified as the most influential predictors of faculty commitment. These results highlight the importance of strategic foresight in educational leadership, suggesting that managers with clear visions and strong professional competencies are more capable of shaping faculty engagement and contributing to the sustainable success of academic institutions.https://www.transoscience.ir/article_228459_ccd10b7d4c7a6b8ac537fd05362be3ec.pdfTransactions on Data Analysis in Social Science2821-19364320220901Effectiveness of Acceptance and Commitment Therapy on Psychological Flexibility and Negative Automatic Thoughts (NAT) of Students at Islamic Azad University14715622846010.47176/TDASS.2022.147ENS.Mohammad MahdiPh.D. in Health Psychology, Graduate of the Comprehensive Course in Psychiatry and Mental Health from the University of Sydney, AustraliaM. H.TorkzadehMaster of Psychology, Islamic Azad University, Gachsaran Branch, IranA.SalehiPh.D. in Cognitive Neuroscience, Psychiatry Resident, Graduate of the Comprehensive Course in Neuropsychiatry from Harvard University, USAA.AyoubResearcher, Ph.D. in Sociology, Graduate of the Comprehensive Course in Resilience from the University of Pennsylvania, USAJournal Article20220609<strong>Background and Objective:</strong> Acceptance and Commitment Therapy (ACT), one of the third-wave psychological approaches, has shown promise in modifying individuals’ perceptions of stressors by fostering acceptance of thoughts and emotions and commitment to change. This study aimed to investigate the effectiveness of ACT on psychological flexibility and negative automatic thoughts (NAT) among students at Islamic Azad University, Gachsaran Branch. <strong>Method:</strong> A quasi-experimental design with pre-test, post-test, and control group was employed. The statistical population included all postgraduate students in the academic year 1400–1401, from which 30 participants were selected using convenience sampling and randomly assigned to experimental (n=15) and control (n=15) groups. The student-Academic Commitment Questionnaire (SACQ; Baker & Siryak, 1984) measured psychological flexibility, while the Automatic Thoughts Questionnaire (ATQ; Holon & Kendall, 1980) assessed negative automatic thoughts. Data were analyzed using multivariate analysis of covariance (MANCOVA). <strong>Results:</strong> Findings indicated that ACT produced significant improvements in psychological flexibility and reductions in negative automatic thoughts compared with the control group. <strong>Conclusion:</strong> The results suggest that ACT effectively reduces maladaptive cognitive patterns while enhancing flexibility and adaptability. By lowering psychological distress, ACT promotes resilience and helps students align with personal values, leading to greater well-being. Techniques such as cognitive defusion, acceptance of unpleasant emotions, and value clarification encourage individuals to embrace life challenges while maintaining joy, purpose, and adaptability.https://www.transoscience.ir/article_228460_6f6318aefd20fe5bc76cb62685caa73d.pdf