Current Issue
Volume 10 - Issue 03 (May - June 2026)
| Title: | Programming Paradigms in the Age of AI: Prompt-Engineered Code vs. Hand-Written Code |
| Authors: | Adewole A.P., Awoleye Bolaji Stephen, Augustine Peter Edoka, Omikunle Oluwafisayo Yewande, Abe Oluwaseyi Elizabeth |
| Source: | International Journal of Latest Research in Engineering and Management, pp 01 - 05, Vol 10 - No. 03, 2026 |
| Abstract: | This study compared prompt-engineered and hand-written code across 15 programming tasks in Python, Java, and JavaScript. An experienced developer and a prompt engineer using GPT-4o and Claude 3.5 Sonnet completed identical tasks, evaluated on development speed, functional accuracy, cyclomatic complexity, security, and maintainability. Although the development time with AI-based assistance decreased by around 82%, the code generated by AI showed a 14.7% decreased maintainability, a 61.9% increased cyclomatic complexity, and had no security risks compared with the manually written code. In conclusion, a Pareto-type of problem was revealed. The AI solves 80% of any task rapidly, while the 20% edge cases and architecture/security logic needs a real human being. A hybrid model is proposed wherein developers retain authorship of core architecture and business logic while delegating well-defined implementation patterns to AI tools. |
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| Title: | Openness to Experience and Job Satisfaction among Doctors in Telemedicine: Examining the Moderating Role of Moral Disengagement |
| Authors: | Miftahudin, Matrissya Hermita, Siti Marliah Tambunan, Nurlintang Putri Ayuning Rizal, Winda Lestari |
| Source: | International Journal of Latest Research in Engineering and Management, pp 06 - 13, Vol 10 - No. 03, 2026 |
| Abstract: | The expansion of telemedicine has transformed healthcare delivery and introduced new professional demands for doctors practicing in digital healthcare environments. Drawing on Self-Determination Theory (SDT), this study examined the relationship between openness to experience and job satisfaction among doctors in telemedicine, with moral disengagement as a moderator. A quantitative cross-sectional design was employed involving 221 doctors practicing in telemedicine, selected using convenience sampling. Job satisfaction was measured using the Job Satisfaction Survey (JSS), openness to experience using the Indonesian Big Five Inventory (BFI), and moral disengagement using a modified Bandura scale. Data were analyzed using Structural Equation Modeling (SEM) with AMOS. The model demonstrated acceptable fit (χ²=1.425; p=.133; RMSEA=.062). The findings showed that openness to experience significantly predicted job satisfaction (p=.001), indicating that physicians with greater cognitive flexibility, adaptive learning orientation, and receptiveness toward novelty tended to report higher occupational satisfaction in telemedicine settings. Moral disengagement significantly moderated the relationship between openness to experience and job satisfaction (p<.001).This study extends understanding of physician job satisfaction by integrating personality adaptation, moral cognitive processes, and SDT within digital healthcare contexts. |
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| Title: | Effect of Junction Geometry on Turbulence and Flow Separation in Pressure Tunnels |
| Authors: | Amruta A. Chavan, Sushma Vyas, Sruthi T. K., Ansh Omane, Chaitnya Vishwe, Shreyash Arsul |
| Source: | International Journal of Latest Research in Engineering and Management, pp 14 - 24, Vol 10 - No. 03, 2026 |
| Abstract: | Pressure tunnel junctions play a crucial role in determining flow behaviour, pressure distribution, turbulence generation and energy losses in hydraulic systems. The geometry of a junction directly influences the movement of water through the tunnel network, making its design an important factor in achieving efficient hydraulic performance. This study examines the effects of different junction geometries on turbulence characteristics and flow separation in pressure tunnels using Computational Fluid Dynamics (CFD) simulations. Numerical analyses were carried out for both converging and diverging flow conditions with junction angles of 30°, 45°, 60° and 90° and main tunnel diameters of 3 m, 4 m and 5 m. Pressure and velocity distributions were evaluated at selected probe locations around the junction region to assess flow behaviour. For hydraulic interpretation, the pressure values obtained from CFD simulations were converted into pressure heads expressed in metres of water column. The simulation results indicate that junction geometry significantly affects hydraulic performance. Smaller junction angles promoted smoother flow transitions, reduced turbulence intensity, minimized flow separation, and lowered hydraulic losses. Conversely, larger junction angles generated stronger flow disturbances, larger recirculation zones, and greater energy dissipation. An inverse relationship between pressure head and velocity was consistently observed across all cases. Additionally, increasing tunnel diameter reduced flow velocity and enhanced flow stability. Among the configurations studied, the 30° junction demonstrated the most efficient hydraulic performance, whereas the 90° junction produced the highest turbulence levels and energy losses. These findings emphasize the importance of optimizing junction geometry to improve hydraulic efficiency and reduce operational losses in pressure tunnel systems. |
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