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416 articles for “PHQ-9 Scale”
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Design and Simulation of Solar Powered Semi-Automatic Grass Cutter
Abstract: The maintenance of large area of grass lawns has always been a tedious task considering continuous human labour and long hours of work. Inorder to reduce the fatigue human work a novel design of automated grass cutting machine powered with a solar panel is designed and simulated for remote operated functioning. The mechanism works with the skeletal frame of a normal grass cutting machine face lifted with ultrasonic sensor for …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 17–24 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Perception and Implementation of Sports Safety Measures Among University Physical Education Instructors in Punjab: A Cross-Sectional Study
Abstract: Introduction: Considerable attention must be focused on sports safety as it is a constituent of thephysical education (PE) curriculum at the university level, in view of the frequent and vigorous engagement in physical activities. While there is general acknowledgement of the existence of safetymeasures, the extent to which such measures are put into practice may differ. This research examines the perceptions and practices related to sports safety of university PE …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 45–55 Read article
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Assessing Land use Dynamics and Policies in the Waghur Basin Using Geospatial Techniques
Abstract: Changes in land use and land cover (LULC) are key indicators of human–environment interactions, especially in river basins where anthropogenic pressure is increasing. This study evaluated land use change and policy implications in the Waghur Basin, India, through a geospatial analysis of 35 years (1990–2025). Remote sensing and GIS-based supervised classification with the help of machine learning methods were applied to multi-temporal Land satellite images to create LULC maps and …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 38–49 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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The Mycobiome Frontier – Pre & Post 2020 Status: Integrating Fungal Bioactive Compounds, Probiotics, and Antimicrobial Peptides in Modern Therapeutics and Biotechnology.
Abstract: The fungal kingdom represents an indispensable resource in modern therapeutics and biotechnology, offering a diverse array of bioactive compounds, probiotics, and antimicrobial peptides (AMPs). Functional fungal polysaccharides (FFPs), such as beta-glucans, chitin, and mannans, are centrally involved in modulating the human gut microbiota, providing novel therapeutic avenues for chronic conditions including diabetes, neurodegenerative disorders, and cancer. These compounds act as prebiotics, nourishing beneficial bacteria and enhancing metabolic parameters such as …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Fungi in the Global Bioeconomy: Harnessing the R Potential Across Agriculture, Medicine, Industry, and Environmental Sustainability
Abstract: One of the most diverse and functionally versatile groups of living organisms, fungi has played a significant role in maintaining ecological balance, human well-being, agricultural production, and industrial processes. Despite their vast potential, the use of fungi systems in solving some of the most serious challenges facing the world today, such as climate change, food security, and AMR, is still in its infancy. New developments in genomics, biotechnology, and systems …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 20–27 Read article
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Punjab’s Wetlands as Inland Analogues of Marine Ecosystems: Status, Stressors and CommunityLed Conservation.
Abstract: Aquatic and wetland ecosystems in Punjab, India, represent ecologically significant yet increasingly degraded socioecological systems embedded within an intensively managed agrarian landscape. Despite their recognised importance, existing studies largely treat these systems using conventional freshwater ecological frameworks, with limited integration of microbiologically mediated processes and broader ecosystem theories. A key research gap, therefore, lies in the lack of interdisciplinary approaches that can holistically interpret wetland structure, function, and governance across …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 31–51 Read article
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Integrating Social Perception and Economic Valuation for Riparian Zone Preservation: Evidence from Kiliti Watershed, Ethiopia
Abstract: Riparian zones play a crucial role in maintaining watershed health by providing ecosystem services such as water filtration, erosion control, biodiversity conservation, and aesthetic and cultural benefits to surrounding communities. Despite their importance, riparian areas in many developing countries are increasingly degraded due to agricultural expansion, grazing pressure, and settlement encroachment. This study integrates social perception analysis with economic valuation to assess riparian zone preservation in the Kiliti Watershed, Northwestern …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 49–55 Read article
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Revitalizing São Cristóvão: Integrating Industry, Commerce, and Community for a Sustainable Urban Future
Abstract: This paper introduces a comprehensive framework for the sustainable regeneration of São Cristóvão, a historically industrial district in Rio de Janeiro, South America, which presently demonstrates significant urban deterioration, socio-economic instability, and increasing environmental hazards. Through an interdisciplinary methodology integrating spatial analysis, ethnographic profiling, environmental assessment, and stakeholder engagement, the study develops a phased master plan aimed at transforming the neighborhood into a resilient, inclusive, and economically diverse urban environment. …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 58–68 Read article
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On the Relationship between Equivalent Potential Temperature (theta-e) and Convective Rain over Nigeria and Togo
Abstract: Convective precipitation is a key feature of West Africa's climate, driven by the West African monsoon system. Accurate forecasting of convective storms is challenging but essential for disaster mitigation in the region. This study investigates the ability of using equivalent potential temperature (theta-e) for predicting convective rainfall events in West Africa. Theta-e combines the thermodynamic effects of moisture and temperature to represent total energy available for convection. Daily rainfall and …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 26–43 Read article
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Variation in Ozone at Night in Barrow, Alaska, during Different seasons, and its Relationship to Methane at Different Pressures
Abstract: The study is focus on the investigation of the night-time seasonal variability of ozone (O₃) at Barrow, Alaska, and also it examines its association with methane (CH₄) concentrations at different pressure levels along with solar flux variations on the basis of eighteen years (2003–2020) of observational data, including ground-based ozone measurements, satellite-derived methane data at 100, 200, 300, 400, and 500 hPa, and solar flux (F10.7) values. For finding the …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 44–53 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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The Weight of The Flock: Narratives of Young Men who were Childhood Herders in Lesotho
Abstract: Herding in Lesotho is associated with social isolation for extended periods, risk of assault by animal thieves, and risk of being attacked for suspected animal theft. Regardless, herding in Lesotho is mostly assigned to boys. The objective of this study was therefore to examine herding experiences of childhood herders in Thaba Tseka Lesotho. The study employed snowball sampling to recruit 14 childhood herders who were young adults (18-35 years old) …
Published in International Journal of Children · Vol. 3, Issue 1, 2026 · pp. 29–42 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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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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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article