University of Wah Journal of Science and Technology (UWJST)

MIL Grow Crank Green: Mechanical Design and Analysis of a Low-Cost, Gear-Driven Hand-Cranked Generator Toolkit for Sustainable Global MIL Education

Helal Uddin — 2025-12-25

High levels of energy poverty in emerging nations, educational infrastructure is one of the most sensitive areas that do not give students the opportunity to use digital facilities and means of communication. Traditional off-grid products, which include fossil-fuel generators and disposable batteries, are not economical or environmentally friendly. Moreover, the current hand-cranked devices are either plated into expensive military technology or cheap educational toys, which leave a gap of middle-range, durable solution. This study aims to design, analyze, and fabricate MIL Grow Crank Green, a low-cost (<$25), gear-driven, hand-cranked generator toolkit that encourages students to learn about energy and media literacy (MIL) while producing renewable electricity. SolidWorks CAD Software is used to Design the system optimizing an 80:1 compound gear train to analyze mechanical stress. A prototype permanent magnet alternator (PMA) is to be constructed and experimented with regarding voltage regulation, power output, and efficiency at varying resistive loads (10 ? -100 ?). The linear response of voltage (R2 =0.99) in operation is proven through experimental validation which provides a constant 3v-12v DC output. The system demonstrated a peak power output of 3.5W at a nominal load of 20?, with a mechanical-to-electrical efficiency of about 88% and managed to work and power LED arrays and mobile devices. The suggested model is an effective replacement to single-use batteries which are sustainable and strong. It enhances UN Sustainable Development Goals 4 (Quality Education) and 7 (Clean Energy) by bridging mechanical transparency to functional utility to enable off-grid communities to be energy literate.

Investigating Performance Dynamics of Pakistan’s T20 Middle-Order Batsmen Using Survival Analysis

Syed Muhammad Arsalan — 2025-12-25

This study examines the performance of Pakistan’s middle-order batsmen in T20 Internationals. The middle-order remains a critical concern for Team Pakistan, as wickets are falling at an accelerated rate. Data were sourced from ESPNcricinfo, covering T20 matches from to , including players across innings. Survival analysis techniques were applied, including the Kaplan-Meier (KM) method, Cox proportional hazards model, and the Log-Rank Test. The KM analysis reveals that Asif Ali and Iftikhar Ahmad excel in terms of strike rate, while Fakhar Zaman, Shoaib Malik, and Shadab Khan stand out for total runs. Players demonstrating greater resilience at the crease include Haidar Ali, Fakhar Zaman, Imad Wasim, and Shoaib Malik. In the Cox-Proportional Hazard Model (Cox-PH), all statistical tests yield significant Likelihood Ratio Test (LRT), Wald Test, and Log-Rank Test highlighting the model’s robustness. Iftikhar Ahmad and Shan Masood spent the most time at the crease, while Fakhar Zaman, Iftikhar Ahmad, Shoaib Malik, and Shadab Khan faced the most deliveries. The Log-Rank Test reveals a significant difference in performance based on average runs , but not on strike rate . These insights can support data-driven player selection and middle-order strategy for Pakistan’s T20 team.

Analysis of Analytical Techniques for Deciphering Fluid Flows under Certain Regime

Aamra Urooj — 2025-12-25

Complex systems of ordinary and partial differential equations govern the great majority of phenomena in mathematical physics and engineering. By using sophisticated analytical frameworks to solve these governing equations, this study offers a thorough investigation into the dynamics of fluid flow and heat transfer. In particular, the study investigates the coupled effects of mass and heat transfer over an inclined stretching sheet in the magneto-hydrodynamic (MHD) flow of a non-Newtonian Burgers' fluid through a porous medium. Two reliable analytical techniques, the Variational Iteration Method (VIM) and the Variational of Parameter Method (VPM), are used to preserve high accuracy while guaranteeing computational efficiency. These techniques offer sophisticated, closed-form approximations that avoid the high computational costs of conventional numerical grid-based simulations. The impact of different physical parameters on the temperature and velocity distributions is examined in detail, and graphical representations are offered to confirm the dependability and consistency of the suggested analytical models. The results provide a theoretical foundation for understanding the sensitivity of flow parameters, which is essential for the future design and optimization of transport mechanisms in MHD-based industrial systems.

SYNTHESIS AND CHARACTERIZATION OF ALOEVERA-CURCUMIN LOADED ZEIN NANO FIBROUS SMART DRESSING FOR DIABETIC FOOT ULCER

Nisha Iqbal — 2025-12-25

Diabetes is one of the predominant healthcare problems that affects the globe with high fatality and comorbidity rates and its associated complications involving diabetic foot ulcers (DFU). According to the various clinical reports, a major contributing factor to the challenges in healing the DFU is the infection, changes in the inflammatory responses, a deficiency in the extracellular matrix, and a failure of angiogenesis. Nanofibers that replicate natural materials exhibit significant porosity, excellent moisture absorption, and a greater oxygen exchange rate. These properties are highly desirable for DFU treatment. In this research, we synthesized a nanofibrous scaffold containing curcumin and aloe vera, two natural therapeutic elements, encapsulated in a biodegradable polymer named Zein. The morphology of the nanofibrous scaffold was examined, confirming that the fibers were perfectly sized and had a smooth, bead-free structure. Additionally, the presence of chemical components (C-O, C=C and S=O, and C=N groups of Cr and Av with Zein polymer) was evaluated, and the drug release profile was found to be efficient along with excellent antibacterial performance. All these outcomes were received using the SEM, FTIR, and UV-VIS characterization methods, respectively.

Smart Macanum Wheels UGV for Landmine Detection

Muhammad Yasir Majeed — 2025-12-25

Land mines and unexploded artillery are the major challenges faced in warfare. They are most difficult and dangerous because they are hard to detect. This has impelled us to propound a robot that can be controlled over long distance and has ability to detect the land mines and unexploded explosive material underneath the ground. In order to achieve high accuracy mecanum wheels are used in the robot which are controlled by H-Bridge module. Mecanum wheels allow the robot to move in eight different direction including diagonals and 360 degree rotational movement. In contrast with conventional wheels which don’t allow the robot to move in above mentioned directions. The input from the sensory equipment is fed to microcontroller. Obstacle avoidance is done by sonar sensor which is mounted on the top front side. A spy RF camera is used to capture snapshots and real time video streaming of the location and send back it to pilot. The wireless communication between robot and operator is done by 2.4 GHz RF module.

re controlled by H-Bridge module. Mecanum wheels allow the robot to move in eight different direction including diagonals and 360 degree rotational movement. In contrast with conventional wheels which don’t allow the robot to move in above mentioned directions. The input from the sensory equipment is fed to microcontroller. Obstacle avoidance is done by sonar sensor which is mounted on the top front side. A spy RF camera is used to capture snapshots and real time video streaming of the location and send back it to pilot. The wireless communication between robot and operator is done by 2.4 GHz RF module.