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1127 articles for “COVID-19 India 2025”
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Experimental and Simulation Study on Reduction Kinetics of Magnetite Ore by using Hydrogen
Abstract: In the present work, magnetite ore fines pellets were prepared for a study of reduction kinetics using hydrogen gas. In the present work, various parameters are investigated to assess their influence on reduction kinetics with respect to hydrogen utilisation. The different input variables influence the process, yielding the reduction fraction. The effect of temperature on reduction kinetics with hydrogen flow rate was explored for the optimum value of these parameters. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 Read article
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Water Comparative Study of Water Quality
Abstract: Water quality plays a vital role in safeguarding human health, maintaining environmental balance, and supporting socio-economic progress. For drinking purposes, water must satisfy established physical and chemical criteria to minimize health hazards and ensure the efficient functioning of biological processes. This research focuses on a comparative assessment of drinking water quality by analyzing key parameters such as pH, Total Dissolved Solids (TDS), hardness, and fluoride levels in both tap water …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 85–98 Read article
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Design and Development of Onion Storage Shade for Better Ventilation and Longer Life
Abstract: Onions are one of the most important cash crops for farmers in India and many other countries. However, most harvested onions are lost every year due to improper storage. Traditional storage methods, such as keeping onions in heaps under trees, in closed rooms, or in poorly ventilated sheds, do not provide sufficient airflow. As a result, moisture accumulates, leading to sprouting, fungal growth, rotting, and physical damage. These losses reduce …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 31–41 Read article
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Leadership Influence on Work Performance in Health Care Professionals: A Narrative Review
Abstract: Leadership plays an important role in influencing work performance, job satisfaction, and employee engagement among healthcare professionals. The healthcare sector is demanding and complex, making effective leadership essential for maintaining workforce well-being and quality patient care. This narrative review aims to explore the influence of different leadership styles on the work performance, job satisfaction, and engagement of healthcare professionals, and to identify effective leadership approaches that enhance teamwork, productivity, and …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 15–23 Read article
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From Baseline Survey to Management Plan: A Systematic Framework for Port-Specific Mitigation of Underwater Radiated Noise
Abstract: The growing recognition of underwater radiated noise (URN) as a significant marine pollutant necessitates the development of actionable management frameworks at the port level, where noise sources are concentrated, and impacts can be particularly acute. While international guidelines exist, a standardized methodology for ports to transition from assessment to implementation is lacking, particularly in regions with high biodiversity and developing maritime infrastructure. This paper presents and demonstrates a systematic, four-phase …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 22–30 Read article
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A Comparative Study of the Optimum Health and Health-Related Physical Fitness Level of State Level Players Boys and Girls at MBSPSU, Patiala
Abstract: The study’s goal was to compare state-level player girls’ and boys’ optimal health and health-related physical fitness. Thirty individuals, including male and female state-level players from the Patiala district of Punjab, India, were chosen via purposeful random sampling. There were two distinct groups formed: There were fifteen participants in each group (15 females and 15 boys), with Group 1 being made up of girls and Group 2 being made up …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 22–27 Read article
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Unveiling Bihar's Atmospheric Crisis: A Synoptic Review of PM 2.5 Dynamics, Source Attribution, and Airshed Vulnerabilities in the Eastern Indo-Gangetic Plain (Bihar)
Abstract: Bihar, situated in the pollution-trapping Indo-Gangetic Plain (IGP), faces a severe air pollution crisis characterized by annual PM2.5 concentrations of 80–100 μg m-3 exceeding WHO guidelines (5 μg m-3) and Indian NAAQS (40 μg m-3) by 4–6-fold. This review synthesizes data from CPCB/BSPCB monitoring, MODIS satellite retrievals, and peer-reviewed studies (2000–2025) to assess ambient air quality, sources, health impacts, policies, and research gaps in the state. PM2.5 and PM10 dominate, …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Design and Performance Evaluation of A Refrigeration System Utilizing The Peltier Cooling Effect
Abstract: A domestic refrigerator with 5star rating and having capacity 180 Liters consumes 265 units per year. In India average cost of electricity consumption per unit for domestic usage up to 100 units is Rs 5.31per Unit and beyond 300 units it is Rs.8.95 and for industrial it may go beyond Rs 10.45/kWh. This scenario demands for alternative cooling technology that can replace totally VCR (vapour compression refrigeration) system. This thesis …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 34–47 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Status and Distribution of Major Invasive Plant Species in the Dehradun Region of the Uttarakhand Himalaya
Abstract: Invasive alien plant species are widely recognized as one of the major threats to global biodiversity and ecosystem stability. Their rapid spread and ability to adapt to different environmental conditions allow them to dominate natural habitats and disrupt ecological balance. The present study examines the status and distribution of major invasive plant species in the Dehradun region of Uttarakhand, which is situated in the Himalayan foothills of northern India. Field …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 17–23 Read article
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The Social Media Misinformation Loop: An Analysis of Consumption and Sharing Behaviours among Medical Students
Abstract: Background: The contemporary information landscape is largely dominated by social media, which has emerged as a major source of information for medical students. This study aims to investigate the information consumption and sharing behaviours of medical students in Jammu and Kashmir, India, in the context of misinformation and its growing influence. Methods: A cross-sectional survey using a structured questionnaire was administered to 668 students from 13 medical colleges. The data …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Polymer Composite-Enhanced Anaerobic Digestion of Kitchen Waste for Optimised Biogas Production: Process Design, Parametric Study, and Simulation Analysis
Abstract: There is an urgent need for decentralised sustainable biogas production from organic waste due to the rising amount of food waste in cities. The application of polymer composite material including HDPE tanks, PVC pipes, and FRP secondary containment systems presents a promising option compared to conventional MS digester fabrication in terms of durability, excellent thermal insulation capability, light weight, and easier installation. This study explores the possibility of adopting a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 803–818 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust
Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is seamlessly weaved into vital sectors such as self-driving cars, high-speed trading systems, and defense strategies, it has triggered a counterintuitive development in advanced cyber-attacks. This survey paper attempts to perform an in-depth technical analysis on “AI Attack Surface.” There are threats across three main vectors. Data Integrity Attacks focuses specifically examining ‘Clean Label’ poisoning and backdoor injection. Model Confidentiality Breaches is discussing the mathematics behind Model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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A Cross-sectional Study to Analyse Level of Stress among Nursing Students of Christ College of Nursing, Jagdalpur, Chhattisgarh
Abstract: Nursing education combines rigorous academic training with demanding clinical responsibilities, exposing students to multiple stressors that may affect their psychological well-being, academic performance, and professional growth. Assessing stress levels and their association with socio-demographic variables is essential for developing effective support strategies. This study aimed to assess the level of stress among nursing students and determine its association with selected socio-demographic characteristics. A descriptive cross-sectional study was conducted among 150 …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 1–10 Read article
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Comparative Assessment of Methylparaben concentration in Cosmetic product, analyzed using Enzyme Biosensor and ultra-high-pressure liquid chromatography (UPLC): An approach towards detection of the environmental toxicant with higher accuracy and sensitivity.
Abstract: Methylparaben (MP) is one of the most widely used preservatives and is associated with a catalog of recently identified health hazards. Existing studies have also highlighted these compounds as environmental contaminants and toxicants that affect water quality and the associated microbial diversity of the habitat. The conventional methods for parabens detection is performed using chromatographic techniques, which assist in quantitative analysis of the group of compounds. However, the biggest challenge …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Water Contamination, Sanitation Practices, and Public Health Risks: A Cross-Sectional Study
Abstract: Contaminated water remains one of the biggest obstacles to public health, especially in developing countries, partly due to a lack of sanitation systems and lack of knowledge about the dangers. This paper describes the causes of water resource contamination and the ways in which they are transmitted, the lack of knowledge of the public, and what can be done to make it less of a problem, including a cross-sectional study …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 21–32 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article