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730 articles for “Intervention”
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Development of River Flood Management plan “Case of Patna City”
Abstract: This Research Paper develops an Integrated River Flood Management plan for Patna city, which includes Policy Framework and Implementation Strategy by increasing resilience and reducing river flood through various Interventions like Land use planning, Low Impact Development, Embankments, leaves, Dykes and ecosystem-based adaptation, resilient infrastructure, and community engagement identified from various Literature studies. It ensures Development of framework for River Flood in the region. It also talks about the Parameters …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 38–79 Read article
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Host Invasion to Immune Evasion: Emerging Concepts in Pathogen Virulence Strategies
Abstract: Pathogens have evolved a wide repertoire of virulence strategies that allow them to invade host tissues, establish infection, and circumvent immune responses. From the initial steps of adhesion and colonization to complex molecular mimicry, antigenic variation, and immunomodulation, pathogens display remarkable adaptability. While traditional research has emphasized host cell entry and toxin production, emerging evidence highlights subtler and more dynamic strategies such as manipulation of host signaling pathways, subversion of …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Experimental Study on the Effect of Membranous Milkvetch and Ledebouriella divaricate Immunomodulatory Tablets on cytokine production in allergic rhinitis model mice
Abstract: We have established allergic rhinitis models for use in the treatment of allergic rhinitis with the help of the traditionall Koryo medicine administration, lade-screen Powder-extracted Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablet and the effect of lade-screen Powder on cytokine production in allergic rhinitis model mice. In the allergic rhinitis model, the administration of Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablets, along with Lade-screen Powder, demonstrated significant therapeutic effects. These …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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Efficacy of Selected Yoga Practices on WHO – Quality of Life (BREF) With and Without Modified Diet and Lifestyle in Healthy Adults
Abstract: Quality of life (QoL) is crucial as it balances physical health, mental well-being, and emotional satisfaction, which are often compromised by people. Prioritizing QoL enhances overall happiness and productivity, reduces chronic health issues, and fosters stronger social connections. It is a multidimensional concept that has a direct impact on physical, psychological, and social well-being. The prevalence of QoL is influenced by factors, such as economic conditions, healthcare access, education, and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 1–9 Read article
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Ayurveda as a Medium of Healing: A Critical Review of Classical Concepts and Modern Evidence
Abstract: Ayurveda, recognized as one of the world’s oldest holistic healing systems, has its origins in India over 5,000 years ago. Rooted in a philosophy that views health as a harmonious balance of body, mind, and spirit, Ayurveda offers a comprehensive and individualized approach to wellness. This traditional system of medicine is grounded in the concept of the Tridosha Vata, Pitta, and Kapha representing the fundamental bio-energetic forces governing physiological and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 40–44 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Residential Sanctioned Load Monitoring and Controlling Using PLC & SCADA
Abstract: Efficient load monitoring and control are crucial for managing energy resources in various industrial and commercial applications. Sanctioned load, which refers to the maximum permissible electrical load imposed by authorities or utilities, needs to be closely monitored and controlled to ensure compliance and optimize energy usage. Programmable Logic Controllers (PLC) and Supervisory Control and Data Acquisition (SCADA) systems offer reliable and efficient solutions for monitoring and control in industrial and …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 7–11 Read article
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A Study to Assess the Knowledge and Attitude on Artificial Intelligence in Health Care Among Nursing Students at a Selected Nursing College in Kuppam
Abstract: Background: Artificial Intelligence (AI) is rapidly gaining prominence in healthcare, holding the potential to revolutionize patient care and streamline administrative processes. However, the preparedness of future nursing professionals for this technological shift, particularly their knowledge and attitudes towards AI in healthcare, remains a critical yet under-investigated area. This study aimed to assess the knowledge and attitudes of nursing students towards AI in healthcare at a selected nursing college in Kuppam, …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 17–23 Read article
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Advances in Trauma Surgery: Innovations, Historical Perspectives, and Future Directions in Patient Care
Abstract: Trauma care has evolved significantly over the past few decades, with innovations in surgical techniques, medical devices, and procedural protocols enhancing the outcomes for patients experiencing life-threatening injuries. This article explores recent surgical innovations in trauma care, focusing on advancements in hemorrhage control, rapid trauma intervention, and the use of novel technologies to improve surgical precision and recovery. Key developments such as hemostatic agents, minimally invasive techniques, and the integration …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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IoT-Based Industrial Safety Management Systems
Abstract: The integration of the Internet of Things (IoT) in industrial safety management has transformed workplace safety by enabling real-time monitoring, predictive analytics, and automated hazard mitigation. IoT-Based Industrial Safety Management Systems utilize interconnected sensors, wearable devices, and intelligent analytics platforms to proactively detect and respond to potential risks in high-risk environments such as manufacturing, oil and gas, and construction. These systems continuously monitor critical safety parameters, including temperature, pressure, gas …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 18–22 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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Immune Dysregulation and Cytokine Circuitry in Genital Endometriosis: Mechanistic Insights and Next-Generation Immunotherapeutic Strategies
Abstract: Genital endometriosis is increasingly recognized as an immune-mediated inflammatory disorder driven by complex interactions between dysregulated immune cells, cytokine hubs, and microbiome-derived modulators. This review introduces a novel “immune–cytokine circuitry” framework that unifies innate and adaptive immune abnormalities with key cytokine loops sustaining chronic inflammation, angiogenesis, neuroinflammation, and immune tolerance. Within this circuitry, macrophage polarization, dendritic cell immaturity, NK-cell anergy, Treg expansion, Th17 amplification, and B-cell–mediated autoimmunity converge to establish …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 06–16 Read article
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Unlocking Novel Drug Targets and Therapeutic Advancements Against RNA Viruses: Insights from HMPV and SARS-CoV-2
Abstract: Re-emerging RNA viruses pose a significant epidemiological welfare threat due to their high mutation rates, potential for zoonotic transmission, and capacity to cause widespread outbreaks such as Human Metapneumovirus (HMPV), Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), Influenza, etc. The rapid evolution and re-emergence of these viruses necessitate the development of novel drug targets and therapeutic strategies to combat existing and future outbreaks. This study focuses on structural as well …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 54–86 Read article
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Preparation of Vitamin B12-Enriched Curds: A Novel Approach to Address Nutritional Deficiency in Vegetarian Populations
Abstract: Addressing the significant public health challenge of Vitamin B12 deficiency, particularly within India’s substantial vegetarian population (estimated at 35%), this study explored biofortification of the widely consumed dairy product curd (dahi) as a culturally acceptable solution, overcoming barriers of cost, access, and compliance associated with traditional supplements. Researchers isolated bacterial strains from Swiss cheese, presumptively identified as Propionibacterium shermanii based on phenotypic characteristics, and used them to ferment curd under …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 1–15 Read article
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Reimagining Nuclear Reactor Safety: The Study toward Passive Safety
Abstract: Nuclear power has been at a crossroads for decades. Acclaimed for its massive, decarbonized energy production, it has also been questioned because of the disastrous possibility of mishaps. Nuclear power remains a vital component of the global energy mix, offering a low-carbon, high- capacity solution to growing energy demands. However, its widespread adoption has historically been tempered by public safety concerns, amplified by incidents like Chernobyl and Fukushima. Traditional reactor …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 6–15 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article