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256 articles for “app-based interventions”
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Nutrient-Mediated Activation of Cellular Signaling Pathways: Mechanistic Insights into Attenuation of Toxin Induced Inflammation in Food Animals
Abstract: Dietary and environmental toxins remain a persistent challenge in food animal production, where subclinical and clinical inflammation compromises health, productivity, and food safety. Toxin induced inflammation is driven by oxidative stress, mitochondrial dysfunction, and dysregulated immune signaling, resulting in impaired metabolic efficiency and increased disease susceptibility. Recent advances in nutritional science have revealed that nutrients act not only as substrates for growth but also as signaling molecules capable of modulating …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Nanomedicine in Combination with Artificial Intelligence (AI): Transforming Cancer Treatment
Abstract: The convergence of nanomedicine and artificial intelligence (AI) holds transformative potential for advancing cancer treatment, particularly in liver cancer. Nanomedicine enables the development of targeted drug delivery systems, enhanced imaging modalities, and precise therapeutic interventions, while AI facilitates data-driven decision-making, personalized treatment plans, and predictive analytics. This synergistic approach can significantly improve the diagnosis, treatment, and monitoring of liver cancer by optimizing the use of nanoparticle-based therapies. AI-powered algorithms can …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 27–30 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Prevalence of Sexual Violence and Its Associated Factors Among Female Night Time Students of Junior And Secondary Schools in Mekelle City, Northern Ethiopia, 2013
Abstract: Sexual violence refers to any sexual act directed against a person’s sexuality by any person regardless of their relationship to the victim. Sexual violence is prevalent and is a major public health and human rights problem worldwide. The problem is not different from this in Ethiopia. However, lack of data has hindered full understanding and development of appropriate interventions. The objective of the study was to assess the prevalence of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 2, 2015 · pp. 6–20 Read article
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Design and Implementation of a Smart RFID-Based Library System Using ESP32
Abstract: Recent advancements made in automated technologies have created major changes in previous library management systems. The aim of the Smart Library System is to provide improved efficiency, accuracy, and security in the management of books throughout the entire borrowing and returning process, as well as throughout the entire process of maintaining an accurate inventory of books. Each book has an RFID tag embedded within it while each registered user of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 39–47 Read article
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Redefining Herd Health: No-Antibiotic Strategies for Revolutionizing Sustainable Dairy Development
Abstract: This study investigates the potential of no-antibiotic strategies to transform herd health management andpromote sustainable dairy development. Rising concerns over antimicrobial resistance (AMR) and the environmental consequences of antibiotic use have intensified the demand for alternative, sustainable disease management approaches. No-antibiotic strategies emphasize preventive health measures, biosecurity, and holistic practices, including optimized nutrition, vaccination, and natural antimicrobial alternatives. The study evaluates diverse management interventions, such as precision livestock farming, genetic …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Effective Homoeopathic Management of Allergic Rhinitis: A Case Series Utilizing Hepar Sulph 30 and Histamine 30 with Dietary Modifications
Abstract: Background: Allergic rhinitis (AR), means our immune system intruded by some allergens which is typically a harmless substance. These allergens are found in the air we breathe, in the food we eat, in the water and fluids we drink. These allergens are attacking on our immune system and the immune system responds to the allergens by releasing histamine and chemical mediators that cause symptoms in the nose, throat, eyes, ears, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 12–16 Read article
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A Review on Social Distancing ID Card
Abstract: The frequency of fire accidents in homes, industries, and public spaces has increased due to electrical faults, human negligence, and flammable materials. Traditional fire-fighting systems often depend on human presence and manual intervention, which delays the response time. To overcome this limitation, this project presents an Automatic Fire Extinguisher System based on Arduino and IoT technology for real- time detection and suppression of fire. Gas, temperature, and flame sensors are …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 28–38 Read article
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Performance Analysis and Detection of Stress using IoT Sensors
Abstract: The objective of this paper is to review recent researches on several stress prediction and detection techniques and also to provide better streamline on various stress management techniques. Worldwide, people experience mental stress concerns with different reasons including family issues, financial issues, social issues and environmental issues. The adjustable stress can develop a person; however, the strong response or continuous stress becomes critical. Hence, prediction, detection and management of physical …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 7–15 Read article
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Socioeconomic Inequalities in Utilisation of AYUSH Systems of Medicine in North-East India: Evidence from NSS 79th (2022–2023) Round on AYUSH
Abstract: Background: Socioeconomic inequality in healthcare Utilisation continues despite policy focus on universal health coverage and Sustainable Development Goal 3. India's traditional, complementary, and alternative medicine systems are generally termed as AYUSH. AYUSH has been consolidated into the national health policy; however, empirical findings on its distributive equity persist as limited. This study estimates and decomposes socioeconomic inequality in Utilisation of AYUSH systems of medicine among the adult age group 15 …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 29–42 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 Read article
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Evaluating the Role of Pharmacists in Managing Antibiotic Use and Combating Multi-Drug Resistance in Hospital Settings
Abstract: Antibiotic resistance is now one of the crucial health issues of the world, especially in hospitals where high usage of antimicrobials is increasing the rate at which multi-drug resistant (MDR) organisms appear. Misprescription, extended treatment, and over-use of broad spectrum antibiotics play a large role in the development of resistance resulting in the growth of morbidity, mortality and health care expenditure. This review analyses the essentiality of pharmacists in controlling …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 · pp. 12–19 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 01–14 Read article
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A Community-Based Study to Assess the Impact of Pharmacist Led Home Medication Review in Patients with Diabetes Mellitus in Dakshina Kannada
Abstract: Diabetes mellitus is a chronic metabolic disorder with the condition where there is an abnormally high blood glucose level. Home medication review (HMR) is a patient-centered process that provides the effective and quality use of medication at the patient’s home. According to a study, nearly 50% of Type II diabetes fail to recite adequate glycemic control due to poor management of anti-diabetic medications. So, a community-based interventional study was conducted …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 29–34 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Music Based Remediation Therapy as an Adjunct to Conventional Physiotherapy Treatment for Primary and Secondary Impairments in Patients with Traumatic Brain Injury and Stroke: A Systematic Review
Abstract: Stroke is a second leading cause of death and major cause of long term disability whereas traumatic brain injury being a disabling health condition. Music therapy is a therapeutic application of music to cognitive, behaviour, sensory and motor dysfunction. To examine the effects of music therapy as an adjunct intervention with conventional treatment versus conventional treatment alone and other therapies on cognition, behaviour, upper extremity function, fine motor skills and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 1, 2016 · pp. 1–9 Read article
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Advances in Polymer Chemistry for Coronary Artery Disease
Abstract: Coronary artery disease (CAD) remains the leading cause of morbidity and mortality worldwide, driving ongoing innovation in therapeutic materials and device design. Polymer chemistry has emerged as a cornerstone in the development of advanced cardiovascular interventions, offering versatile platforms to improve the safety, efficacy, and functionality of implantable devices. This review explores recent advances in the synthesis and application of biodegradable and biostable polymers, focusing on their roles in drug-eluting …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 710–716 Read article
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Re-imaging Education Policy of a Framework Based on Indian Knowledge Systems
Abstract: Digital transformation revolutionized education; it enhances teaching and learning, improves administrative tasks, and empowers students and educators. Digital transformation in education and its importance in shaping the future. Integration of technology in classrooms enables interactive and immersive learning. Digital tools offer dynamic learning experiences, enhancing student engagement. This leads to improved comprehension and knowledge retention. Personalized learning experiences are facilitated by digital transformation. Digital transformation creates vast resources and online …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 42–63 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