Allied Science Papers & Publications

Background: Old age is one of the vulnerable and prone stages in terms of health status. So this study aimed to assess the nutritional status and common health complications of older people. Methods: Simplified Nutritional Appetite Questionnaire (SNAQ), Anthropometric measurements, Diet History Method, and Mini Nutritional Assessment (MNA) tools were used to measure the nutritional status. Data were analyzed by using Statistical Package for Social Science (SPSS) version 16. Results: Out of the total 320 elderly participants the mean SD value for the age of male and female was 67.25 6.5 and 67.32 7.7 years respectively. According to BMI classification, it was noticed that with advancing age the percentage of underweight was also increased such as for 60–75 years old age group the underweight percentage was 30.0% where for 76 to 85 and >85 years old age group the underweight percentage was 45.0% and 60.0% respectively. According to the MNA score, 97 elderly respondents were malnourished and a total of 172 respondents had SNAQ scores below 14. This study found a statistically significant (P < 0.05) correlations among various health complications with nutritional status according to MNA score. In addition 56.6% (OR ¼ 1.24, 95% CI ¼ .799–1.939), 63.8% (OR ¼ 1.18, 95% CI ¼ .745–1.857) and 64.7% (OR ¼ 1.14, 95% CI ¼ .720–1.804) respondents had diabetes mellitus, hypertension and cardiovascular disease respectively. The risk of musculoskeletal pain (OR ¼ 1.073, 95% CI ¼ .684–1.681), bedsore (OR ¼ 1.884, 95% CI ¼ .903–3.934) and decreased sense of thirst (OR ¼ 1.278, 95% CI ¼ .821–1.991) were higher among females than males. A little number of the elderly used to take milk, meat, and fish daily. Conclusion: During this cross-sectional study, significant correlations among nutritional changes with health complications were determined. To prevent malnutrition among the elderly a proper health policy as well as periodical nutritional screening should be conducted

Arafat Hassan Razon

The blunted nose cone with and without a sharp aerospike and an aerodisk of various diameters and lengths are investigated numerically in detail in the current study at a hypersonic Mach number of 10. The aerodisk diameter is described as d/D ratios such as 0.2, 0.4 and 0.6, and the length of the aerospike is represented as the L/D ratio of 1, 1.5 and 2. The main objective of the research is to examine the aerodynamic properties of blunt noses with and without aerodisks and aerospikes, as well as the influence of shock production over the model. The design of blunted nose cones with aerodisk was made up using CATIA and numerical investigation was performed on the ANSYS Fluent. The turbulence model of SST k-omega was considered for study. The current study revealed that shock patterns drastically varied nearer to the nose cone model at L/D ratio 2 and variation of drag reduction occurred due to the increase in d/D ratio and aerospike and also flow pattern over the model was clearly investigated.

Boopathy Govindarajan

This study analyzed the performance of hybrid ORC -Stirling systems in terms of thermal-mechanical energy conversion in relation to small-scale power generation by industries in Delta state, Nigeria. The two main parameters examined included the thermal collection efficiency of evacuated tube collectors and the influence of the environmental parameters on the stability of torque and the power output of the shaft. The data collection was performed on solar irradiance, ambient temperature, wind speed and PCM thermal cycling at 8-hour intervals in 90 days, and analyzed by means of MATLAB-simulated multidimensional plots. Findings showed that evacuated tube collection produced efficiency of ≥65% thermal collection efficiency, providing sufficient heat input for ORC–Stirling systems to maintain torque deviations within ±5% and conversion efficiency ≥40%. Mean solar irradiance of 775W/m²and PCM cycling between 250–310°C supported continuous 8-hour daily operation of industrial machinery. The results showed that hybrid ORC-Stirling systems are reliable to drive small-scale industrial processes even when environmental conditions vary. It was therefore advised that the small-scale operators should invest in ORC-Stirling systems, the Manufacturer Association of Nigeria (Delta State Chapter) should create awareness and demonstrations of this hybrid ORC-Stirling system and tertiary institutions in Delta state should engage the faculties of Mechanical Engineering to conduct training and pilot projects to facilitate adoption and proper maintenance of this ORC-Stirling system. Such measures will further improve operational stability, cut down-time and sustainability and decentralized industrial power

FXintegrity Publishing

This study investigated the formulation, implementation, and performance implications of an artificial neural network–particle swarm optimization (ANN–PSO) based energy scheduling framework for a 150kW hybrid micro-grid. The analysis focused on two hybrid configurations, namely micro gas turbine–fuel cell (MGT–FC) and solar photovoltaic–battery storage system (PV–BSS), with emphasis on optimal dispatch behaviour and system efficiency under dynamic load and generation conditions. MATLAB was used to simulate ANN-based forecasting of hourly load and distributed energy resource outputs, which were subsequently optimized using PSO over multiple iterations to achieve balanced supply–demand scheduling. 4-in-1 visualization techniques were employed to capture convergence behaviour, transient response, dispatch stability, and efficiency dynamics across operating scenarios. Results showed that both hybrid systems achieved convergence within 20–24 PSO iterations, with scheduled power maintained within 50–120kW despite injected disturbances of ±20–30kW. The MGT–FC configuration demonstrated smoother dispatch profiles and faster fitness convergence, while the PV–BSS system exhibited greater variability due to intermittency, compensated by storage dispatch. Efficiency analysis revealed that optimal ANN–PSO scheduling sustained MGT–FC efficiency within 83–89%, whereas PV–BSS efficiency ranged between 41–72%, peaking during high-irradiance periods. Overall, the findings established that ANN–PSO-based scheduling enhanced operational stability and efficiency in both configurations, while highlighting the superior resilience of the MGT–FC hybrid under identical dynamic conditions. The study concluded that intelligent optimization provides a viable pathway for improving micro-grid performance in developing communities and industrial off-grid applications, where reliable and efficient decentralized power supply remains critical. It was therefore recommended among others that power system engineers and industrial energy planners in developing economies adopt ANN–PSO frameworks for real-time micro-grid dispatch to improve efficiency, resilience, and adaptability of decentralized energy systems serving communities and industrial loads.

FXintegrity Publishing