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136 articles for “long-term monitoring”
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Smart Material–Based Energy Conversion and Storage Solutions in Industrial Engineering Systems
Abstract: A revolutionary step for attaining energy-efficient, sustainable, and intelligent industrial processes is the use of smart materials with industrial engineering systems. Advanced approaches to energy harvesting, conversion, and storage in industrial settings are made possible via smart materials, which are distinguished by their capacity to sense and react dynamically to mechanical, thermal, electrical, and external cues. These materials enable accurate energy recovery from vibrations in machinery, operational loads, waste heat, …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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The Interplay Between Hyperglycemia, Endothelial Dysfunction, and Cardiovascular Risk in the Context of COVID-19: Implications for Long-term Health
Abstract: The COVID-19 pandemic has highlighted the potential impact of hyperglycemia, especially its link to cardiovascular disease (CVD) and endothelial dysfunction. COVID-19 can cause systemic inflammation and endothelial damage, worsening complications related to hyperglycemia. Persistent inflammation and endothelial dysfunction are crucial elements in the progression of atherosclerosis and other cardiovascular diseases. The long-term health effects of COVID-19, known as “Long COVID” or post-acute sequelae of SARS-CoV-2 infection (PASC), have raised concerns …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 27–31 Read article
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Iot Based Industrial Pollution Monitoring System
Abstract: This paper introduces a robust IoT-based industrial pollution monitoring system aimed at addressing the critical need for effective environmental management in industrial settings. By leveraging sensor networks and real-time data analytics, the system provides continuous monitoring of various pollutants emitted from industrial activities. The integration of IoT devices streamlines data collection, transmission, and analysis, offering timely insights for proactive decision-making. This system not only facilitates compliance with environmental regulations but …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Determining the Root Causes of Complications in Hemodialysis Maintenance Therapy
Abstract: As with peritoneal dialysis and kidney transplantation, hemodialysis has been considered one of the most effective therapies for the replacement of kidney function. While this helps to save patients with the disease by decreasing morbidity /mortality/ rates, this medication has some side effects. These may manifest during the dialysis process alongside the ongoing treatment. Avoiding these barriers becomes crucial for improving the patients’ prognosis in this context.We are going to …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 27–47 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 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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Electromagnetic Field Effects on Biological Systems and Safety Evaluation of Microwave Exposure
Abstract: The increasing use of wireless communication systems, radar technologies, and microwave- based devices has raised growing concerns regarding the potential biological effects of electromagnetic fields (EMFs) on living systems. This review paper investigates the interaction between electromagnetic field exposure, particularly in the microwave frequency range, and biological tissues, with a focus on safety implications and risk assessment. Microwave radiation, commonly emitted from mobile phones, Wi-Fi routers, and industrial equipment, can …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 26–33 Read article
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Space Pharmacy for Human Space Exploration: Overcoming Drug Stability, Packaging Challenges, Pharmacokinetic Variations, and Developing Innovative On-Demand Therapeutic Solutions for Long- Duration Missions Beyond Earth
Abstract: As humankind prepares for prolonged space exploration and the establishment of lunar and Martian habitats, ensuring reliable access to safe and effective medicines has emerged as a critical challenge. The evolving discipline of space pharmacy addresses the unique pharmaceutical needs of astronauts in microgravity and radiation-rich environments, where drug stability, packaging, and pharmacokinetics are markedly different from conditions on Earth. Traditional dosage forms often undergo accelerated degradation, while altered fluid …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 32–47 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Advancement in Biodegradable Equipment for Flexible and Sustainable Electronics
Abstract: Biodegradable electronics are a quickly developing area focused on reducing the environmental impact of traditional electronic waste by using materials that can break down naturally after use. These devices use eco-friendly polymers, nanocomposites, and bio-based materials that maintain electrical function temporarily before safely decomposing. Recent developments show the potential of plant-based polymers, conductive biodegradable composites, and transient materials that support flexible and wearable applications without causing long-term harm to the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 32–37 Read article
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Phosphorescence of Carbon Nanodots – The Phenomena and the Applications
Abstract: Photoluminescence has emerged as a fundamental phenomenon in modern biomedical science, enabling advanced diagnostic, therapeutic, and theranostic applications through light–matter interactions at the nanoscale. The ability of photoluminescent materials to absorb electromagnetic radiation and emit light at distinct wavelengths has been widely exploited in bioimaging, biosensing, drug delivery tracking, and photodynamic therapy. Among various photoluminescent nanomaterials, carbon nanodots have attracted significant attention due to their strong emission intensity, tunable fluorescence, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 01–05 Read article
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Managing Chronic Diseases: Diabetes Mellitus
Abstract: Diabetes mellitus is one of the most prevalent chronic non-communicable diseases worldwide and represents a major public health challenge due to its long-term complications, increasing prevalence, and economic burden on individuals and healthcare systems. It is distinguished by chronic hyperglycemia brought on by deficiencies in either insulin action or secretion, or both. Diabetes causes increasing harm to several organ systems, including the kidneys, eyes, neurological system, and cardiovascular system, if …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Impact of Groundwater Pollution on Carcinogenic and Non-Carcinogenic Health Effects: A Review
Abstract: Groundwater is a critical source of drinking water in many regions worldwide, particularly in South and Southeast Asia, where dependence on untreated groundwater remains high. However, increasing groundwater contamination poses serious risks to human health. This review synthesizes recent peer-reviewed studies to examine the sources, distribution, and health impacts of major groundwater contaminants, with a focus on both carcinogenic and non-carcinogenic risks. Emphasis is placed on fluoride, nitrate, chromium, and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 40–46 Read article
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Digital Health Interventions in Cardiovascular Pharmacology: A Review
Abstract: Cardiovascular diseases (CVDs) represent a formidable global health challenge, demanding innovative strategies for timely detection, effective management, and continuous monitoring. This study delves into the transformative potential of digital health interventions (DHIs), such as telemedicine and remote monitoring, in reshaping cardiovascular care paradigms. DHIs offer unparalleled accessibility, convenience, and personalized attention, thereby promising to revolutionize traditional approaches to cardiovascular health management. One of the foremost advantages of DHIs lies in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 1–5 Read article
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Hormonal Shifts and Vision Changes: Addressing the Needs of Women During and After Pregnancy
Abstract: Pregnancy and the postpartum period are marked by significant hormonal fluctuations that can profoundly affect a woman’s vision health. This review explores the relationship between hormonal shifts during pregnancy and the onset of common vision changes, including but not limited to dry eyes, blurred vision, and retinal changes. These changes are often temporary but can indicate underlying complications such as gestational diabetes, preeclampsia, and other pregnancy-related conditions that may threaten …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Cardiac Structural and Functional Changes in Anaemia: A 2D Echocardiographic Study in an Indian Population
Abstract: Anemia is a widespread global health concern, particularly prevalent in developing countries, like India, where it contributes significantly to cardiovascular morbidity. This study aimed to evaluate cardiac structural and functional changes in anaemic patients using 2D echocardiography and to assess correlations between haemoglobin levels and echocardiographic parameters. A cross-sectional observational study was conducted on 125 anaemic patients (defined as haemoglobin <13 g/dL in males and <12 g/dL in females) at …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 39–44 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article