.

By facilitating continuous, real-time data collecting from a variety of medical devices, patient monitoring has been revolutionized with the integration of Internet of Things (IoT) technology in healthcare. In this research, we provide a fog-assisted information model that uses Internet of Things (IoT) devices to provide healthcare as a cloud service. In addition, the data of cardiac patients, which is obtained through their requests, is efficiently managed by the suggested approach. The suggested model's performance in a Fog-enabled cloud environment is examined using the iFogSim tools. When compared to cloud computing, the experimental findings show that the fog-based method performs better on all important parameters. In comparison to cloud settings, fog computing significantly decreases the average amount of time, latency, and energy used by the network. Additionally, by reducing latency, preserving energy, and improving network resource use, fog computing provides a more effective alternative for processing time-sensitive healthcare data, such that from heart patients..

The rapid expansion of digital and online learning has transformed English language instruction, making listening comprehension a central component of language input. This study investigates listening disorders and listening comprehension among learners in digital English classrooms by examining the influence of auditory processing ability, digital learning environment quality, teacher instructional strategies, multimedia and assistive tools usage, attention, and concentration level, and learning anxiety with cognitive load. Using a mixed-method, descriptive research design, data were collected from 350 learners through structured questionnaires, listening diagnostic tasks, observations, and interviews. Quantitative analysis revealed that most learners demonstrated generally positive listening comprehension in digital English classes, particularly in understanding spoken English, main ideas, instructions, and important details. However, the findings also showed that high levels of anxiety, mental overload, and attention difficulties significantly hinder effective listening, even among learners with adequate auditory processing ability. Multimedia and assistive tools produced mixed results, indicating that such tools are not automatically beneficial unless properly integrated and guided. The study concludes that while digital English classrooms can effectively support listening development, learner outcomes depend strongly on emotional comfort, cognitive balance, instructional clarity, and technological reliability. The findings offer practical implications for teachers, curriculum designers, and policymakers to create inclusive, low-stress, and learner-friendly digital listening environments..

Effective time management has become a critical competency for higher education students navigating increasingly complex academic and digital environments. This review paper synthesizes contemporary literature to examine the psychological, environmental, and contextual factors influencing effective time management and its relationship with academic performance. Drawing upon theoretical foundations such as self-regulation theory, goal-setting theory, procrastination theory, and cognitive-behavioral perspectives, the review integrates findings related to self-discipline, intrinsic and extrinsic motivation, academic stress, emotional intelligence, personality traits, digital distraction, academic workload, online learning environments, and institutional support systems..

Education systems have evolved significantly in response to globalization, technological advancement, and changing socio-economic demands. This review paper examines the transition from traditional teacher-centered paradigms characterized by lecture-based instruction, rote learning, and exam-oriented assessment to modern learner-centered, technology-integrated, and competency-based approaches. The study highlights how these paradigm shifts have redefined teaching practices, curriculum design, and assessment strategies. .

This paper will examine whether Massive Open Online Courses (MOOCs) deliver quality education fairly to Indian higher education. The study examined equity in digital competence, linguistic access, course design inclusion, and MOOC accessibility and affordability using 413 MOOC students and 44 professors. According to descriptive and inferential data, most students have adequate digital abilities, and MOOCs are largely open and free, removing cost and seat obstacles to education. Some learners have language problems, rural locations lack connectivity, and inclusion of a wide range of learners (including disabled and non-English learners) is an area for improvement. .

Floating solar photovoltaic (FPV) systems have emerged as an effective solution for generating renewable energy while utilizing available water surfaces. However, photovoltaic panels are highly sensitive to operating temperature and high heat can prevent the generation of electricity. A mathematical model is used in this study to determine the influence of water-based cooling on FPV thermal management and FPV performance. .

Heat and mass transfer in nanofluid systems operating within porous media at elevated temperatures remains a critical challenge for thermal engineering applications ranging from nanofabrication to biomedical devices. This investigation examines the competing effects of particle Brownian motion and thermophoretic migration on coupled transport phenomena in radiative nanofluid boundary layers flowing over an axisymmetric stretching thin needle embedded in a porous medium with inertial resistance. Utilizing the Buongiorno dual-phase model, the governing transport equations incorporating Rosseland thermal radiation and Darcy-Forchheimer drag are transformed via similarity analysis into a coupled system of nonlinear ordinary differential equations and solved using a verified shooting method with rigorous grid convergence validation. .

This study examines the impact of investor behaviour on the size of Initial Public Offerings (IPOs) in Tier-I cities of Uttar Pradesh, with special reference to Lucknow and Noida. Using primary data collected from investors, the study employs Structural Equation Modelling (SEM) to analyse the influence of behavioural and informational factors such as risk aversion, herd behaviour, overconfidence bias, information asymmetry, market sentiment, financial literacy, and media and analyst influence on IPO size decisions. The findings reveal that market sentiment, herd behaviour, and media influence significantly drive IPO size, while risk aversion, information asymmetry, and financial literacy have limited impact. The results highlight that investor psychology, social influence, and market conditions play a dominant role in shaping IPO investment behaviour. The study contributes to behavioural finance literature and provides practical insights for issuers, regulators, and investors in understanding IPO dynamics..