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1960 articles for “E-health” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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The Impact of Mindfulness Techniques on Legal Professionals: A Review
Abstract: The legal profession is known for being one of the most strained and taxing careers out there, often demanding long hours that can take a levy on mental health, leading to weariness, anxiety, and a drop in job satisfaction. Mindfulness, which involves being aware of our thoughts, feelings, physiological senses, and surroundings in the moment, has manifested as a valuable instrument to handle these difficulties. This review explores how mindfulness …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 39–43 Read article
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A Study to Assess the Effectiveness of an Informational Booklet on Knowledge Regarding First Aid for Snake Bite Among People in Selected Rural Community Area of Kanpur Dehat, U.P.
Abstract: Snake bite is a common and frequently devastating environmental and occupational health problem, particularly in rural areas of tropical developing countries. Despite its significant contribution to morbidity and mortality, snake bite remains a neglected public health issue. Snake venoms contain a variety of proteins and peptide toxins with specific actions on different tissue receptors, making snake bite management clinically challenging. Immediate and appropriate first aid plays a crucial role in …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 34–56 Read article
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AEGLE MARMELOS: A Review of Its Chemicals Constituents, Biological Activity, and Potential Health Benefits
Abstract: The fruit bael is obtained from the plant name, Aegle marmelos, which is an important medicinal herb found in South Asia. The leaves, stems, bark, and roots are all used in traditional medicine in addition to the fruits. Since ancient times, people have utilized herbs to treat a variety of chronic illnesses. The nutritional and medicinal properties of compounds derived from plants have been confirmed by several scientific investigations. Worldwide …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 · pp. 26–32 Read article
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A Study to Determine the Impact of a Structure Teaching Program on the Knowledge of Needle Stick Injury Among Hospital Staff Nurses
Abstract: Needle stick injuries occur when needles accidentally puncture the skin, posing a risk to individuals working with hypodermic syringes and other needle equipment, particularly in healthcare settings. These injuries are recognized as occupational hazards in the medical field and raise concerns about the potential transmission of blood-borne illnesses, including hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus (HIV). Although the immediate physical effects of needle stick …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Virtual Reality Graded Exposure Therapy For Phobia And Ptsd
Abstract: By combining virtual reality technology with graded exposure therapy, Virtual Reality Graded Exposure Therapy (VRGET) transforms the treatment of anxiety disorders. VRGET uses controlled exposure to anxiety-inducing stimuli using immersive virtual environments, addressing the global problem of anxiety disorders. By simulating real-world scenarios, VRGET provides a structured and immersive approach that allows individuals to gradually confront their fears in a controlled, supervised, and safe environment. Technology offers adaptable scenarios tailored …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Sustainable Practices in Urban Horticulture: A Review of Green Infrastructure
Abstract: Urbanization is expanding at an unprecedented rate across the globe, which brings about significant challenges, including environmental degradation, climate change, and the rapid loss of biodiversity. As the population in cities grows and urban areas become increasingly congested, the role of urban horticulture is becoming vital in improving the livability and sustainability of these environments. Urban horticulture plays an important role in enhancing both the ecological and social fabric of …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Mathematical Models for COVID-19 Pandemic: A Comparative Analysis
Abstract: The COVID-19 pandemic has really underlined the importance of mathematical modeling in understanding disease-spread dynamics and especially informing public health interventions. The paper aims to provide a comprehensive comparative analysis of various mathematical models used for COVID-19 studies, with a focus on assumptions underlying those models, strengths, and also the limitations in their applications as well as special focus is given to compartmental models, agent-based models, machine learning-enhanced models, and …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 42–53 Read article
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AI in Healthcare: Drug Delivery in Tuberculosis
Abstract: Tuberculosis (TB) , mainly caused by Mycobacterium tuberculosis, remains a major global health burden, accounting for millions of new infections and deaths each year. Although progress has been made in diagnosis and treatment, the growing threat of multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB makes disease control increasingly difficult. Conventional diagnostic approaches such as chest X-rays, sputum smear microscopy, and culture methods continue to play an important role, but they …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 9–17 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Polymer Chemistry in Nutraceutical Composites: Exploring Natural Polymers and Binding Systems in a Bamboo-Enhanced Formulation
Abstract: Polymer chemistry underpins the development of advanced nutraceutical composites, blending natural polymers with functional ingredients for health benefits. This study examines a novel nutraceutical formulation comprising ragi (16.39 g/100g), wheat (12.29 g/100g), soybean (12.29 g/100g), buffalo milk (16.39 g/100g), buffalo butter (4.13 g/100g), bamboo extract (0.90 g/100g), and auxiliary components (37.61 g/100g, including fats, sugars, and proteins). Natural polymers—proteins from soybean and milk, polysaccharides from ragi and wheat—form a macromolecular …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 878–884 Read article
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Fluorosis- A Serious Health Problem which demands Sustainable Solution
Abstract: Two essential components of an Integrated Fluorosis Mitigation Programme include provision for regular supply of fluoride safe potable water to the fluorosis affected areas, and nutritional supplementation of Calcium, Vitamins, Iron, Protein and Antioxidants to fluorosis patients. Present study reports the experience of the authors gathered during their study on fluorosis problems in different fluorosis endemic areas of Bihar. They are fully convinced that of various methods available for providing …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 26–33 Read article
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How small circuits power big technology in the world of VSIL
Abstract: Very Small Integration Level (VSIL) circuit technology represents an emerging class of ultra- compact, low-power electronic design methodologies that enable the creation of highly efficient and scalable systems. This article explores the fundamental principles behind VSIL circuits, including device miniaturization, optimized layout strategies, adaptive power management, and noise-resilient architectures. We also look into the methodical engineering of VSIL circuits to satisfy the ever-tougher performance, robustness, and long- term energy-efficiency demands …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 44–53 Read article
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Transforming Road Safety: A GPS Enhanced Car Accident Alert System for Rapid Emergency Response
Abstract: Road accidents continue to be a major global health concern, with consequences for both emergency response times and public safety. The “Transforming Road Safety: A GPS Enhanced Car Accident Alert System for Rapid Emergency Response” that this project suggests would help emergency services respond to car accidents more quickly and efficiently. In this review paper, we investigate a system that uses sensors and GPS to enhance road safety and accident …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 19–24 Read article
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Marchiafava Bignami Syndrome: A Review
Abstract: Marchiafava-Bignami syndrome (MBS) is a rare neurological disorder characterized by demyelination and necrosis of the corpus callosum, which is the main bundle of nerve fibers connecting the two hemispheres of the brain. MBS primarily affects individuals with chronic alcoholism, although cases unrelated to alcohol consumption have also been reported. The corpus callosum is affected in almost a pathognomonic way. The clinical presentation is based on neurological impairment, motor abnormalities, seizures, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 1, 2024 · pp. 21–25 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article