Volume & Issue: Volume 1, Issue 7, July 2025 
Number of Articles: 6

A Synergistic Framework of Deep Learning and Blockchain for Immutable and Intelligent Fraud Detection in Financial Ecosystems

Pages 415-421

Mohammad Baradaran

Abstract The escalating sophistication of financial fraud necessitates a paradigm shift from conventional detection systems toward frameworks characterized by heightened intelligence, security, and transparency. The present study addresses a critical lacuna in the extant literature by proposing a novel, synergistic architecture that integrates Deep Learning (DL) with Blockchain technology to manifest a robust ecosystem for fraud detection. A dual-core engine is introduced, comprising: (1) a Long Short-Term Memory (LSTM) network, optimized for the capture of temporal dependencies within transactional data, and (2) a permissioned Hyperledger Fabric blockchain, which serves as an immutable trust layer for data integrity and the automated execution of responses via Smart Contracts. The proposed model underwent rigorous evaluation utilizing the benchmark IEEE-CIS Fraud Detection dataset. The framework achieved an exceptional F1-Score of 0.98 and an AUC of 0.99, thereby significantly outperforming standalone DL models and traditional methodologies. It is demonstrated, crucially, that by ensuring data integrity, the blockchain layer enhances the model''s resilience against data poisoning attacks—a critical vulnerability in modern artificial intelligence systems. Performance analysis reveals a mean transaction latency of 450ms under significant load, confirming the system''s viability for real-time deployment. This research establishes a new benchmark for secure artificial intelligence in finance, providing evidence that the fusion of DL and blockchain can create a transparent, auditable, and highly accurate defense against sophisticated financial fraud, thereby paving the way for a new generation of trustworthy computational systems in critical sectors.

The Effectiveness of Mindfulness-Based Intervention on Anxiety and Quality of Life Among Clients of Counseling Centers in Shiraz

Pages 422-435

https://doi.org/10.5281/zenodo.17160501

Vida Jamshidi, Sadr Allah Khosrav, Ezzatollah Razmi, Mohammad Jamshidi

Abstract Background: This study aimed to investigate the effectiveness of an 8-week mindfulness-based intervention on reducing anxiety and improving the quality of life among clients of counseling centers in Shiraz, Iran. Methods: A randomized controlled trial (RCT) with a pre-test/post-test design and a control group was employed. The statistical population comprised all clients who referred to counseling centers in Shiraz between January 2025 (Dey 1403) and July 2025 (Tir 1404). From an initial pool of 80 individuals who completed screening questionnaires, 40 participants with the highest anxiety scores and lowest QoL scores were selected and randomly assigned to either an experimental group (n=20) or a control group (n=20).

Results: The results of the MANCOVA indicated a statistically significant difference between the two groups on the combined dependent variables (Wilks' Lambda, F=85.2, p<0.0001, η²=0.14). Subsequent ANCOVA analyses revealed that the mindfulness intervention led to a significant reduction in anxiety levels in the experimental group compared to the control group (F=53.72, p<0.0001, η²=0.59). Similarly, a significant improvement in quality of life scores was observed in the experimental group (F=24.76, p<0.0001, η²=0.40).

Conclusion: The findings demonstrate that an 8-week mindfulness-based intervention is highly effective in reducing anxiety and enhancing the quality of life among clients seeking psychological services in Shiraz. These results support the integration of mindfulness training into routine clinical practice in counseling and mental health centers as a powerful tool for promoting psychological well-being and overall life satisfaction.

Comparative Literary Studies on Capitalist Exploitation of Nature: A Marxist Perspective

Pages 436-448

https://doi.org/10.5281/zenodo.17250943

Abdul Majid Sarwari, HU Xinying Sarwari

Abstract This study explores how comparative literature can illuminate the complex relationship between capitalism, nature, and environmental crisis through a Marxist analytical framework. It argues that literary texts across different historical periods and cultural contexts not only reflect the capitalist exploitation of nature but also serve as critical tools for understanding and resisting it. By examining a diverse range of literary works—from 19th-century industrial novels to contemporary postcolonial and ecological narratives—this research identifies recurring themes of commodification, industrial expansion, and ecological degradation. Literature reveals how capitalist systems transform nature into a resource for profit, leading to profound social and environmental consequences. Furthermore, the study engages with Marxist concepts such as the “metabolic rift” to interpret how capitalism disrupts the natural balance between human society and the environment. Comparative analysis highlights the global dimension of these issues, showing how writers from various literary traditions critique the exploitative logic of capitalism and expose its ecological consequences. Additionally, many texts offer alternative visions of human-nature relations, suggesting possibilities for resistance and sustainable coexistence beyond capitalist paradigms. Ultimately, this paper demonstrates that literature is not merely a passive reflection of material reality but an active participant in shaping ecological consciousness. By placing literary works in comparative dialogue, we gain deeper insight into how cultural narratives can critique dominant economic systems and inspire transformative approaches to environmental justice. This Marxist literary approach underscores the vital role of the humanities in addressing contemporary ecological crises and imagining more equitable and sustainable futures.

Criminal and Legal Examination of Medical Crimes: From Medical Malpractice to Intentional Acts and Their Effects on Patients and Society

Pages 449-458

https://doi.org/10.5281/zenodo.17252556

Zahra Hajimohammadi

Abstract Medical crimes encompass a spectrum of wrongful acts in healthcare, ranging from unintentional negligence to deliberate harmful actions, which not only endanger patients’ health but also undermine public trust in the medical system. This paper provides a comprehensive analysis of the criminal and legal dimensions of medical crimes. Acts of medical malpractice, arising from failure to adhere to standard care protocols, are typically addressed under civil law; however, in cases where they result in severe injury or death, they may also attract criminal liability. Conversely, intentional acts, such as administering harmful substances, sexual abuse of patients, or falsification of medical records, are directly subject to criminal prosecution and carry severe penalties including imprisonment, fines, and revocation of medical licenses. Additionally, financial crimes and fraud within healthcare systems have widespread implications on public resources and societal trust. The examination of these crimes indicates that their consequences extend beyond individual patients, affecting overall public health, healthcare costs, and quality of medical services. Preventing medical crimes requires strengthening professional education, establishing transparent reporting systems, enforcing strict oversight, and implementing legal reforms that balance patient protection with the rights of healthcare practitioners. This analysis provides a comprehensive perspective on the intersection of law, ethics, and medical professionalism, highlighting the urgent need for preventive measures and accountable practices to safeguard both patients and society.

The Psychological Correlates of Perfectionism in Academic Settings

Pages 459-472

https://doi.org/10.5281/zenodo.17253376

Davood Karimi Arghini

Abstract Perfectionism has become a salient construct in understanding students’ psychological functioning within academic settings. Defined as the pursuit of excessively high standards accompanied by critical self-evaluation, perfectionism manifests in both adaptive and maladaptive forms. This paper explores the psychological correlates of perfectionism among students, highlighting its influence on mental health, motivation, coping strategies, and social relationships. Research indicates that while adaptive perfectionism may foster organization, persistence, and academic success, maladaptive perfectionism is closely linked to heightened anxiety, depression, low self-esteem, and academic burnout. Perfectionistic students often struggle with cognitive distortions, such as all-or-nothing thinking, and rely on maladaptive coping strategies like avoidance and rumination, which exacerbate stress. Additionally, perfectionism affects interpersonal dynamics, where fear of failure and excessive competitiveness can hinder collaborative learning and peer support. Cultural and parental expectations also reinforce perfectionistic tendencies, intensifying psychological vulnerability in highly competitive educational environments. Mechanisms such as achievement motivation, self-worth contingencies, and distorted cognitive appraisals help explain the varying outcomes of perfectionism. Interventions including cognitive-behavioral therapy, mindfulness, self-compassion training, and growth-mindset educational practices are proposed as effective strategies to mitigate the negative impacts of maladaptive perfectionism while preserving the motivational benefits of adaptive forms. Understanding the psychological correlates of perfectionism is critical for educators, counselors, and policymakers aiming to promote academic excellence without compromising students’ well-being. Ultimately, fostering balanced forms of perfectionism may enable students to strive for high achievement while maintaining resilience, self-acceptance, and positive mental health in their educational journey.

Cybersecurity Laws and the Regulation of Cross-Border Data Flows

Pages 473-486

https://doi.org/10.5281/zenodo.17297761

Saman Moradipoor

Abstract The exponential growth of digital technologies and global connectivity has profoundly transformed the way personal, corporate, and governmental data are generated, transmitted, and stored. In this interconnected environment, cybersecurity has emerged as one of the most critical challenges facing both national authorities and international regulators. The increasing reliance on cloud computing, artificial intelligence, and data analytics has intensified the flow of information across borders, raising complex questions concerning data sovereignty, privacy protection, and jurisdictional authority. This paper examines the evolving landscape of cybersecurity laws and the regulation of cross-border data flows, with particular emphasis on the interplay between national interests, international norms, and global trade. It reviews major legal frameworks—including the European Union’s General Data Protection Regulation (GDPR), the U.S. CLOUD Act, and data governance models in China and emerging economies—and analyzes how these systems shape the transnational governance of digital information. The study also explores the tensions between privacy rights and state security imperatives, ethical implications of data localization, and the prospects for global harmonization of cybersecurity norms. By integrating legal analysis, policy comparison, and theoretical perspectives on digital sovereignty, this paper contributes to ongoing academic debates about how to secure cyberspace while preserving openness, innovation, and human rights.