مطالب

This study explores the psychological impact of Internet addiction, comparing the functioning of Internet-addicted individuals to their non-addicted counterparts. A survey of 175 undergraduates from a Malaysian public university assessed their perceptions of 18 statements reflecting key facets of psychological well-being, including autonomy, environmental mastery, positive relationships, personal growth, purpose in life, and self-acceptance. Significant differences were observed in 14 out of 18 statements, with small to medium effect sizes, indicating meaningful disparities between the two groups. The findings suggest that Internet-addicted individuals are more likely to experience challenges in psychological well-being, often turning to the Internet as a coping mechanism for dissatisfaction or unhappiness. This study underscores the need for targeted interventions in the realm of information technology to promote healthier Internet use and address its psychological effects.

Objective: This study aimed to compare the effectiveness of compassion-focused therapy (CFT) and schema therapy on psychological well-being and sense of coherence among infertile women. Methods and Materials: A quasi-experimental, pretest-posttest-follow-up design with a control group was used. Thirty infertile women referring to Saarem Hospital in Tehran during the first half of 2024 were randomly assigned to three groups: CFT (n=10), schema therapy (n=10), and waitlist control (n=10). The CFT group received eight sessions, and the schema therapy group received ten sessions. Psychological well-being was assessed using the 18-item Ryff Psychological Well-Being Scale, and sense of coherence was measured with the Flensborg et al. (2006) Sense of Coherence Questionnaire. Data were analyzed using multivariate analysis of covariance (MANCOVA) and Bonferroni post-hoc tests. Findings: MANCOVA results showed significant differences between groups on both psychological well-being and sense of coherence at posttest (Wilks’ Lambda = .350, F(4,54)=18.76, p<.001). Univariate tests indicated significant group effects on psychological well-being (F(2,27)=18.45, p<.001) and sense of coherence (F(2,27)=22.13, p<.001). Post-hoc analyses revealed that CFT significantly improved psychological well-being compared to schema therapy and control at posttest (p<.05), while schema therapy led to greater improvements in sense of coherence compared to CFT and control (p<.05). Both interventions maintained their effects at the one-month follow-up. Conclusion: The findings suggest that compassion-focused therapy is more effective in enhancing psychological well-being, whereas schema therapy is more effective in strengthening sense of coherence among infertile women. Both interventions showed sustained benefits over time, highlighting the importance of incorporating structured psychological treatments into infertility care to promote adaptive functioning and resilience.

Objective: The present study aimed to investigate the effectiveness of mindfulness-based cognitive therapy on internalized shame, marital disaffection, and inclination toward divorce in couples who had experienced infidelity. Methods: This research was conducted using a quasi-experimental design with pre-test and post-test and a control group. The statistical population of this study consisted of all couples who, due to experiencing infidelity by their spouses, referred to licensed counseling and psychotherapy centers of the Iranian Psychological and Counseling Organization, the State Welfare Organization, or psychiatrists licensed by the Iranian Medical Council (Anis Andisheh Clinic) in District 3 of Tehran, during the first quarter of 2024. In this study, the sample size for each of the experimental groups and the control group was 16 people (8 women and 8 men), and a total of 32 individuals were selected. According to the quasi-experimental design, they were chosen through convenience sampling from among volunteers and then randomly assigned to the experimental and control groups by lottery. Data collection instruments included the Internalized Shame Scale by Cook (1993), the Marital Disaffection Scale by Kaiser (1993), and the Inclination Toward Divorce Scale by Rusbult et al. (1986). In this study, mindfulness-based cognitive therapy consisted of eight weeks of two-hour sessions based on the mindfulness-based cognitive therapy protocol by Crane. Findings: The results of data analysis indicated that mindfulness-based cognitive therapy had an effect on internalized shame, marital disaffection, and inclination toward divorce in couples who had experienced infidelity. Conclusion: Considering the results, it can be stated that mindfulness-based cognitive therapy influences the research variables. It is suggested that further studies be conducted in this area to enhance external validity.

This paper focuses on a new hybrid machine learning model for classifying eye states from EEG signals by integrating traditional techniques with deep learning methods. Our Hybrid LSTM-KNN architecture employs KNN for classification and uses LSTM networks to extract features temporally. In addition, we perform extensive feature engineering, including statistical Z-test and IQR filtering, dimensionality reduction using PCA, and multivariate analysis to further model the performance. Moreover, an SVM-based unsupervised clustering approach is proposed to partition the EEG feature space, followed by ensemble learning in each cluster to improve accuracy and robustness. Using the EEG Eye State Dataset for the first assessment, the Hybrid LSTM-KNN model recorded an accuracy of 87.2% without PCA. Further improvements through statistical filtering outperformed initial expectations, achieving a 6% rise in performance to 89.1% after outlier removal, 89.1% with Z-test (σ = 3), and 88.3% with IQR (1.5x). After applying PCA along with ensemble learning post clustering, the final model exceeded expectations with an accuracy and F1 score of 96.8%, surpassing Ensemble Cluster-KNN and traditional models based on Ensemble Cluster-KNN, Logistic Regression, SVM, and Random Forest. The outcome demonstrates the robustness and noise-resilience of the model’s performance in practical real-time brain-computer interface and cognitive monitoring systems.