Journal of Research Administration

1 Savitha. K. K, 2 Dr. S Poonguzhali PDF

The present study examined the differences in successful intelligence among secondary school students with respect to gender, type of school management, and locale. A sample of 500 adolescents (250 boys and 250 girls) from secondary schools in Calicut, Malappuram, and Palakkad districts of Kerala was selected through stratified random sampling. Data were collected using a researcher-developed and validated Successful Intelligence Scale consisting of 30 items across the analytic, creative, and practical dimensions. Descriptive statistics and independent samples t-tests were employed for data analysis. Results showed that students’ scores were moderately distributed (M = 100.48, SD = 20.42). Comparison of dimensions revealed no significant difference between analytic and creative intelligence, while both analytic–practical and creative–practical comparisons were highly significant. Gender-wise analysis indicated no significant difference between boys and girls in successful intelligence. However, significant differences were found based on locale, with urban students outperforming rural students, and government-school students scored significantly higher than private-school students. Overall, the findings highlight that school type and locale, rather than gender, plays meaningful roles in shaping students’ successful intelligence.  

1 Junaidi Abdullah Ingratubun, 2 M. Syukri Akub;Abd. Asis PDF

This study aims to analyze the nature of regulation, implementation, and formulate an ideal form of coordination between law enforcement officials in the investigation of fisheries crimes. This research departs from the fact that there is an overlap of authority between agencies, such as the Indonesian Navy, Polairud, Bakamla, and the Fisheries Civil Servant Investigator (PPNS), which often hinders the effectiveness of law enforcement in coastal marine areas. Using a normative juridical approach enriched by case studies in Tual City and Southeast Maluku Regency, this study reveals that the existing legal arrangements are still sectoral, partial, and have not fully provided clarity on the boundaries of authority. The results of the study show that the implementation of coordination between law enforcement officials still faces various obstacles, both in terms of sectoral ego, limited infrastructure, and lack of information system integration. This has an impact on the ineffectiveness of handling fisheries crime cases, as well as reducing public trust in the law enforcement process. The ideal form of coordination found in this study is through the synchronization of regulations, the establishment of a permanent coordination forum with integrated SOPs, and the development of a joint information system that can be supervised by independent institutions and coastal communities. The conclusion of this study emphasizes the importance of regulatory synchronization, strengthening coordination mechanisms, and integrating information systems as the main pillars to realize effective, transparent, and equitable enforcement of fisheries laws.  

1 Margret Sharmila.F, 2 K. Karuppasamy PDF

Cryptanalysis is essential for evaluating the robustness of modern encryption algorithms such as the Advanced Encryption Standard (AES) against various attacks. However, traditional cryptanalysis methods are often time-consuming, require deep domain expertise, and struggle to scale effectively when analysing high-dimensional data such as cipher texts and side-channel emissions. Moreover, the lack of standardized analysis techniques poses challenges in identifying subtle vulnerabilities and anomalies within AES implementations. To address these limitations, this study proposes a novel cryptanalysis framework based on transfer learning, which leverages pre-trained deep learning models from diverse domains to automatically extract and analyse meaningful features from side-channel data and AES-related cryptographic elements. This Transfer Learning-based Cryptanalysis Framework (TLCF) significantly reduces manual feature engineering and improves the detection of information leakage, structural anomalies, and potential attack vectors in AES systems. While steganography and cryptanalysis target distinct threat surfaces hidden communication and key recovery respectively both benefit from transfer learning’s ability to extract robust, transferable features from complex input domains. This unified approach enables the application of deep feature learning across heterogeneous security tasks. Furthermore, knowledge distilled from related ciphers such as DES and Serpent is incorporated to enhance generalization and robustness across different cryptographic settings. Experimental evaluations demonstrate that the proposed approach achieves high accuracy in vulnerability detection and outperforms traditional methods, especially when analysing the impact of fault injections on AES implementations. By integrating transfer learning into the cryptanalysis pipeline, this work advances the automation, efficiency, and precision of evaluating encryption schemes, contributing to a deeper understanding of cryptographic security.  

1, 2 Salihah Sulaiman Aljohani and 1 Hafizah Che Hassan PDF

This study examined the effectiveness of a leadership-based intervention in reducing burnout among nurses working in tertiary care hospitals in Medina, Saudi Arabia. The research focused on how transformational, transactional, and laissez-faire leadership styles relate to nurse burnout and whether a structured leadership resilience program could produce meaningful improvements in nurses’ psychological well-being. A quasi-experimental design with pre–post measurements was employed, involving 280 nurses from multiple hospital departments. Data were collected using standardized measures of leadership styles and nurse burnout, and non-parametric statistical techniques were applied to examine correlations, group differences, and changes over time. The findings revealed significant relationships between all three leadership styles and burnout, indicating that leadership behavior is a major determinant of nurses’ emotional exhaustion and workplace stress. The leadership-based intervention resulted in a statistically significant reduction in burnout, demonstrating that leadership development can lead to tangible improvements in nurse well-being. Demographic variables such as age, education, specialty, and years of experience did not significantly influence burnout, although some differences were observed in leadership perceptions across gender. Overall, the results highlight that nurse burnout is primarily shaped by leadership and organizational factors rather than individual characteristics. The study provides strong empirical support for the use of leadership-focused interventions as an effective strategy to enhance resilience, reduce burnout, and promote healthier work environments for nurses in tertiary care hospitals.

1, 2 Salihah Sulaiman Aljohani & 1 Hafizah Che Hassan PDF

Background/Objectives: Leadership styles exhibited by nurse leaders play an essential role in alleviating burnout among staff nurses; however, a comprehensive meta-analysis on this research subject is currently lacking. Hence, this review explored the current literature on related studies published between 2020 and 2025, and examined the influence of nurse managers’ leadership styles on clinical nurses’ burnout. Methods: This review adhered to the guidelines developed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement. A total of 15 articles searched from six databases: Pub Med, Web of Science, CINAHL Plus, Scopus, Science Direct, and EBSCO through the Saudi Digital Library (SDL), fulfilled the criteria and were subsequently included in the final review and meta-analysis. Results: Out of the total15studies, it was indicated that nurse burnout is a global issue, with nurse leadership being a crucial factor in mitigating this problem. The primary positive leadership styles that influenced this situation are authentic leadership, effective head nurse leadership, empowering leadership, ethical leadership, inclusive leadership, paradoxical leadership, servant leadership, and transformational leadership (overall effect size = -0.19; CI = -0.37, -0.00; p = 0.045). On the other hand, the negative leadership styles that influenced this problem are authoritarian leadership and destructive leadership (overall effect size = 0.29; CI = 0.02, 0.57; p = 0.034). Conclusions: Nursing leaders can alleviate nurse burnout by fostering positive leadership styles and eliminating negative leadership practices. Several other factors, both with direct and indirect effects, must also be considered, as they have significantly contributed to the reduction in burnout experienced by clinical nurses.