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726 articles for “health” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Climate Change & Its Impacts: Understanding the Global Climatic Trends
Abstract: One of the most pressing environmental issues of our time is climate change, which is caused by human activity such as the burning of fossil fuels, deforestation, and industrial operations. This paper examines the underlying mechanisms of climate change, focusing on the role of greenhouse gases in the Earth's atmosphere and their impact on global temperature rise. Through a comprehensive analysis of historical climate data and current trends, we highlight …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 38–43 Read article
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Crystallinity of commercial carbon fibers from X-ray diffraction (XRD) studies
Abstract: Sized carbon fibers have commercial significance. Such carbon fibers serves has excellent reinforcing material with the polymer resin filler matrix leading to the formation of carbon fiber reinforced composites (CFRCs). Polarized carbon fibers find applications in the realms of health, energy, environment, defence, catalysis and smart materials. For brevities sake, the focus of the current research paper is only on the structural characterization of carbon fibers using XRD. The structure …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 17–27 Read article
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Global Burden of Major Depressive Disorder: Prevalence, Diagnosis, and Impact: A Comprehensive review
Abstract: In this review, we will discuss about the major depressive disorders on the basis of neurobiological changes. MDD, a prevalent psychiatric condition, manifests as a complex interplay of genetic, environmental, and physiological factors with a substantial impact on individuals and societies globally. Here the clinical assessment is fully based on diagnosis and the statistical manual for mental disorder, 5th edition (DSM-5). The pathophysiology involves Diagnosis alterations in neurotransmitter systems, dysregulation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 54–62 Read article
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Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
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Ecomotion Cityglide Commuter E-Bike
Abstract: The transition from conventional gasoline motorcycles to electric bikes represents a pivotal step in addressing the increasing demand for sustainable transportation solutions in urban environments. This paper meticulously explores the multifaceted aspects of this transition, focusing on the technological advancements, design innovations, and societal implications associated with the adoption of electric bikes. Electric bikes, powered by Brushless DC (BLDC) motors and rechargeable battery packs, offer a suite of benefits over …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 43–49 Read article
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Advances in Analytical Techniques for Water Quality Assessment
Abstract: Assessing the quality of water is essential for preserving ecological balance and public health. This study evaluates new developments in analytical methods that are meant to improve the accuracy, effectiveness, and reach of water quality monitoring. While fundamental, conventional procedures like spectrophotometry and chromatography have drawbacks in terms of sensitivity and real-time capability. By allowing quick and precise pollutant and contaminant identification, emerging technologies such as sensor networks, remote sensing, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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The Role of IoT and AI in Advancing Wastewater Treatment Plant Efficiency
Abstract: Wastewater treatment facilities, or WWTPs, are essential for protecting the environment and human health because they clean wastewater before it is released into natural water bodies. The operational effectiveness and efficiency of WWTPs have undergone a significant transformation as a result of the integration of smart technology for real-time monitoring and control. This review looks at new developments in smart technologies that are being used in WWTPs, including data analytics, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 28–33 Read article
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Performance Forecasting in Solo Sports: Leveraging Psychometrics, Economic Analysis, and Cultural Insights for Predictive Excellence
Abstract: The science of performance forecasting in solo sports has transcended traditional metrics, embracing a multidisciplinary approach. This paper explores the integration of psychometrics, economic analysis, and cultural insights to predict athletic success. By leveraging psychological profiling, economic factors, and cultural dynamics, this study aims to establish a comprehensive model for forecasting athlete performance with heightened accuracy. In the realm of solo sports, where individual prowess dictates success, traditional performance forecasting …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 35–44 Read article
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Green Synthesis of Silver Nanoparticles: Antifungal Efficacy Against Aspergillus niger and Agricultural Benefits
Abstract: Silver nanoparticles (AgNPs) are gaining significant attention in agriculture due to their potent antifungal properties. This study focuses on evaluating the antifungal effects of green synthesized AgNPs derived from Aloe vera leaf extract against the pathogenic fungus Aspergillus niger. The results indicate that the synthesized nanoparticles exhibited a strong absorption maximum at 550 nm, indicative of surface plasmon resonance. UV-Vis spectroscopy was used to analyze the nanoparticles, and the solution …
Published in International Journal of Fungi · Vol. 1, Issue 1, 2024 · pp. 19–23 Read article
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Unlocking The Bioactivity Potential: Molecular Insights and Predictions of Salen, Salophen, Allicin, Curcumin, and Piperine
Abstract: In this work, the prediction of the biological activity of several significant molecules, including salen, salophen, allicin, curcumin, and piperine, are discussed. Using Molinspiration software, the molecular properties of these compounds were calculated. These molecules are highly significant due to their extensive potential in medical applications. Salen and salophen, for instance, play crucial roles in cancer chemotherapy and act as inhibitors of angiogenesis. Curcumin is renowned for its antioxidant properties, …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 14–21 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Effectiveness of Structured Teaching on Immunization Knowledge and Attitude Among Mothers of Children Under-5 years of Age at Bal Mahila Chikitsalaya, Lucknow
Abstract: This section offers a thorough overview of the study's background, explaining the significance of vaccination, the variables affecting vaccination coverage, the role mothers play in the decision-making process regarding vaccinations, and the necessity of focused interventions to improve immunization uptake among children under five. As a fundamental component of preventive healthcare, immunization shields both individuals and communities from a variety of infectious diseases. In order to comprehensively assess changes in …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 5–22 Read article
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Design Principles and Applications of Virtual Telepresence Robots: A Comprehensive Review
Abstract: The primary objective of this project is to develop an advanced virtual telepresence robot system that facilitates remote communication and collaboration in various environments. Through the integration of cutting-edge robotics, sensing, and communication technologies, our virtual telepresence robot enables real-time interaction between users located at different physical locations. This technology combines wireless connectivity, robotics, and user interfaces to provide people with an immersive experience. This study explores the development, functionality, …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 11–18 Read article
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Face Mask Detection on Real Time Images and Videos using Deep Learning
Abstract: A big change has occurred in our day-to-day lives as a result of COVID-19. One of these changes is the widespread adoption of face masks as a preventative measure against the transmission of the virus. Because of this, face mask detection has developed into an indispensable technique in a variety of contexts, ranging from public areas to industrial settings. Artificial intelligence (AI) and machine learning algorithms are utilized in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 22–30 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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V2V Communication Using LiFi
Abstract: The global status report on road safety launched by the World Health Organization (WHO) highlights that the number of annual road traffic deaths has reached 1.35 million. In the USA over 37,000 people die in road crashes each year and an additional 2.35 are injured or disabled. The direct impact of road accidents is loss of life as well as damage to vehicles and property. Accidents might happen due to …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 17–24 Read article
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Preparation and evaluation of Herbal cosmetic
Abstract: In this investigation herbal cosmetics namely Liquorice cold cream and Catechu shampoo were prepared and evaluated. This investigation for herbal cosmetics was done for reducing toxicity for long term use in skin effectively using various herbal ingredients prepared in the laboratory such as tulsi extract, catechu extract, liquorice extract, and clove water. Liquorice cold cream provides numerous skincare benefits , thanks to liquorice extract's properties: It hydrates and nourishes dry …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 2, 2024 · pp. 26–43 Read article
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Investigating the Effect of Rational Emotional Behavioral Therapy Training on Sensitivity in Women’s & Mutual Relationships
Abstract: The topic of Haaz's research is to investigate the effect of rational-emotional behavioral therapy training on sensitivity in women's mutual relationships. The purpose of this research is to prepare and compile a program in which the concepts of the rational-emotional behavioral therapy approach are used in order to investigate sensitivity in women's mutual relationships after the implementation of its training to women. The statistical population includes 120 women with risky …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 18–25 Read article
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Total Lipids and Storage Quality of Oil Seeds and Nuts as Influenced by Yeast Fermentation
Abstract: Oilseeds and the products made from them have a role in a healthy balanced diet, even though they are energy dense and contain a high proportion of fat. Most oilseeds are made up of protein and oil. In general, fat is 18–45% by weight of oilseeds and protein is about 16–40%. Fluctuations in oil yields can cause significant fluctuations in their rates. The oils contain fat-soluble vitamins and unsaturated fats …
Published in International Journal of Fungi · Vol. 1, Issue 2, 2024 · pp. 29–35 Read article