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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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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Integrating Biotechnology, Physiology, and Agroecological Practices for Sustainable Crop Production and Protection
Abstract: Global agriculture is currently confronting a wide range of complex challenges, including a rapidly growing population, climate change, increasing pest and disease pressures, soil degradation, water scarcity, and the urgent need for sustainable intensification of crop production. Addressing these issues requires integrated strategies that combine crop improvement (through modern breeding and biotechnology), precision agronomic practices related to soil, irrigation, and nutrition, as well as advancements in plant physiology, molecular biology, …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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CRISPR, Recombinant DNA, and LAMP-Based Platforms for Monkeypox: Emerging Tools for Diagnosis and Therapeutic Development
Abstract: Monkeypox, a zoonotic viral infection caused by the Monkeypox virus of the Orthopoxvirus genus, has recurred as a worldwide public health concern after recent outbreaks outside of its classical endemic areas in Central and West Africa. The resurgence has demanded a thorough reassessment of its epidemiology, mode of transmission, and clinical presentation. In light of these challenges, recombinant DNA technology (rDNA) has emerged as a candidate for developing vaccines, diagnostics, …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 7–28 Read article
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Oligomenorrhea: An Overview in Toxicology
Abstract: In the contemporary era characterized by a swift and cutthroat environment, numerous gynecological issues are on the rise owing to sedentary lifestyles, improper dietary patterns, and other factors. The interaction between physical and mental health significantly affects the menstrual cycle. According to data, a staggering 80% of women grappling with irregular menstrual cycles find themselves in the grips of Oligomenorrhea, constituting 19.3% of this demographic. In today’s fast-paced and competitive …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 2, 2024 · pp. 45–51 Read article
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6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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The Future of Camelids in South America: Recent Developments and Prospects
Abstract: Camelids, including llamas, alpacas, vicuñas, and guanacos, have been central to South American culture, economy, and ecosystems for centuries. Known for their adaptability to harsh Andean climates, these species provide valuable resources, such as luxurious fiber, nutritious meat, and durable leather. In modern times, their importance has grown due to increasing demand for sustainable and ethically sourced products, coupled with their minimal environmental impact and significant contributions to rural livelihoods. …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 35–38 Read article
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Richness of Marine Biodiversity: Ecological, Economic, and Conservation Perspectives
Abstract: Marine life is diverse, from minuscule plankton to the greatest species on Earth. Marine biodiversity is extensive, and this article examines the ecological roles of species in coral reefs, deep-sea trenches, and coastal environments. Ocean life is essential for keeping the planet's environment in balance. It helps control the Earth's climate and provides income, food, and resources for millions of people around the world. Marine ecosystems are home to an …
Published in International Journal of Marine Life · Vol. 2, Issue 2, 2025 Read article
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A Comprehensive Review on Adiantum Incisum (Maidenhair)
Abstract: A traditional medicinal maidenhair fern Adiantum incisum member of pteridaceae family widely distributed in hilly areas has been reported for its traditional uses as a medicinal fern. The presence of active nutrients and their multifunctional roles make Adiantum spp. leaves perfect candidates for the production of phyto-pharmaceutical products. It is used traditionally as remedy in different disease conditions like diabetes, inflammation, skin disease, liver disorder, fever etc. It is important …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 8, Issue 3, 2023 · pp. 1–8 Read article
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Proof-of-Minimum Privacy Leak Consensus Strategy in Blockchain
Abstract: In this study, we propose a novel consensus algorithm to preserve the security and privacy of a transaction. We propose a Proof-of-Minimum Privacy Leak consensus strategy. This means that the competing nodes which participate in the competition to mine the next block should give a proof of minimum privacy leak during its transaction. Only this proof will give highest votes to that node, and it will be elected as the …
Published in E-Commerce for Future & Trends Read article
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Smart Aquaculture: Enhancing Productivity and Welfare Through Advanced Monitoring Systems
Abstract: This paper introduces a sophisticated aquaculture-based fish tank monitoring system aimed at optimizing productivity and ensuring fish welfare. Water level adjustment to maintain ideal circumstances, turbidity detection to identify suspended particles, and continuous pH monitoring for water quality are the three critical activities that its core component, an Arduino Uno microcontroller, oversees coordinating. This improves real-time monitoring and management by setting off automated notifications via SMS and IoT website data …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 32–40 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Role of W.A.R. Score in Predicting Wound Infection
Abstract: In clinical practice, chronic wounds are a major difficulty that are frequently made worse by the infection risk. However, the lack of precise standards for evaluating the risk of infection and establishing the need for and length of time for systemic antibiotics leads to the overuse and abuse of these drugs, which increases the risk of side effects and the development of antibiotic resistance. To close this gap, the development …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 33–38 Read article
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The Impact of Sleep Quality on Academic Performance and Burnout Among College Students
Abstract: In today’s academic environment, college students face a multitude of challenges that disrupt their well-being—one of the most overlooked being sleep quality. While balancing coursework, social obligations, and personal goals, sleep often becomes a casualty of the student lifestyle. Many students often sacrifice sleep without fully realizing how it affects their mental sharpness and emotional well-being. This study delves into the complex connection between how well students sleep, how they …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 59–65 Read article
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Shell Programming in Healthcare Sector
Abstract: Command Line Interface (CLI) is still the keystone of automation and system administration, regardless of how Graphical User Interfaces have taken up the dominant position for various similar tasks. The shell programming assists in improving the efficiency of work-flow, managing the complex and sophisticated system configuration and automate repetitive tasks by enabling the users to write scripts and sequences of commands that are stored in files. The Bourne Shell language …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 4–7 Read article
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Investigations on Anthocyanin and Its Regulatory Role
Abstract: Anthocyanin is the most widely studied and abundant group of natural pigments. It has been gaining increased attention for its potential health benefits. This vibrant, water-soluble pigment is found in fruits, vegetables, and flowers, and is responsible for the colors of many of the foods we eat. Anthocyanins are not only responsible for the aesthetic appeal of these foods, but they are also believed to have powerful antioxidant, anti-inflammatory, and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 32–37 Read article
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Efficient Message Captivating Environment in IoT Home Networks
Abstract: The Internet of Things (IoT) concept involves connecting and monitoring physical objects via the internet, generating significant interest among researchers and users due to widespread internet availability. This concept encompasses a broad spectrum of devices, including internet-connected "smart" versions of traditional appliances, novel gadgets designed for an Internet-enabled environment, and Internet-enabled sensors transforming various sectors such as manufacturing, healthcare, transportation, and living spaces. Home automation, an IoT application, has significantly …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 8–16 Read article
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Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
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Early Disease Detection Using Artificial Intelligence
Abstract: Growth in artificial intelligence and machine learning now make it possible for the healthcare sector to be totally transformed by a new chapter, particularly in the era of medical image analysis. This study focuses on harnessing these advancements to develop a sophisticated model for early disease detection across diverse medical domains, majorly in skin disease. By integrating diverse datasets and leveraging advanced algorithms, our methodology aims to identify subtle disease …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 11–19 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article