M S Ramaiah University of Applied Sciences

Implementation challenges in a community-based randomized clinical trial in the rural settings of India

BACKGROUND: Community-based randomized controlled trials are the benchmark for evaluating public health interventions due to their real-world relevance. However, their implementation, particularly in resource-limited, rural settings, is challenging. This article details our exper...

Consensus-informed design of digital case-based learning for clinical and public health reasoning in undergraduate Community Medicine: a modified Delphi study

Community Medicine requires undergraduate medical students to integrate clinical reasoning with epidemiological interpretation, the social determinants of health, national health-programme linkage and preventive decision-making. Digital case-based learning (DCBL) may support this...

Explainable Machine Learning with Optimized Tree-Based Models and Statistical Validation for Data-Driven Wear Prediction of Carburized and Non-Carburized Engineering Steels

Accurate prediction of wear behavior in steel materials is essential for enhancing component durability and optimizing manufacturing processes. This study presents a comparative data-driven framework for wear prediction using Decision Tree (DT), Random Forest (RF), and a Physics-...

Closed-loop predictive resonance control through adaptive stiffness–damping co-regulation for continuous piezoelectric energy harvesting

Piezoelectric energy harvesting offers a sustainable solution for powering autonomous electronic devices, but conventional harvesters suffer from resonance mismatch under varying vibration frequencies. In this research, a Closed-Loop Predictive Resonance Control with Adaptive Sti...

Algebraically decaying solutions for magnetohydrodynamic heat and mass transfer in Newtonian flow driven by stretching or shrinking surface: applications to thermal management and cooling technologies

The aim of the current analyses is to examine the thermal and solutal transfer impact on Newtonian fluid flow across permeable expanding/shrinking surfaces, and the impact of solar radiation, magnetic field, and Schmidt number on fluid flow has been extracted. Governing Navier-St...

Data-driven and experimental optimization of thermal performance in ZrO₂ Nanofluid oscillating heat pipes

The growing thermal load of small electronic equipment and electric vehicle (EV) batteries has put a strain on the need to develop sophisticated thermal control systems. In this study, the thermal performance of an oscillating heat pipe (OHP) charged with ZrO₂–acetone nanofluid w...

Tuning Chiroptical Properties of Two-Dimensional Hybrid Perovskites through Organic Spacer and Halide Composition

Abstract Two-dimensional (2D) chiral hybrid organic–inorganic perovskites (HOIPs) have emerged as promising materials for optoelectronic and spintronic applications owing to their tunable electronic structures and chiroptical properties. Here, we investigate the effects of organi...

Fruit peels as redox bio factories: Tailoring bimetallic nanoparticles via sustainable green chemistry

Bimetallic nanoparticles (BimNPs) have emerged as multifunctional nanomaterials with superior properties compared to their monometallic counterparts, owing to synergistic interactions between metal pairs. This review comprehensively explores the green synthesis of BimNPs using ph...

Hospital-recorded road traffic injury admissions and in-hospital mortality before and after alcohol prohibition in Bihar, India: a retrospective comparative study

Objective To compare hospital-recorded road traffic injury (RTI) admissions, documented alcohol involvement, average monthly record-based rates, and related in-hospital mortality before and after implementation of alcohol prohibition in Bihar, India, using archived records from 2...

A Hybrid Deep Reinforcement Learning Framework for Efficient Cloud Resource Scheduling

Abstract Cloud computing enables on-demand access to scalable virtualized resources. However, efficient task scheduling in cloud computing remains a challenge because of the dynamic and heterogeneous nature of workloads. This paper proposes a hybrid Deep Reinforcement Learning (D...

Altering the surface properties of Al 6061 by depositing tungsten-copper through the spark discharge process

This study explores the surface modification of Al 6061 using the electrical discharge coating method with a tungsten-copper (W-Cu) tool (75:25 weight%) fabricated through powder metallurgy. The effect of compact load, peak current and pulse on-time on material deposition rate (M...

Power structures, elite networks, and informal governance in governance systems

Purpose This study aims to critically examine how power structures and personal linkages influence governance systems, with a particular focus on elite dominance and informal networks in shaping institutional performance, accountability and transparency. It moves beyond formal in...