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213 articles for “supportive interventions”
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Economics of Fish Production and Marketing: A Case Study of Madhubani District in Bihar
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 101–115 Read article
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Enhancing Human Welfare In The Gig Economy: A Comprehensive Exploration Of Health And Safety Challenges
Abstract: This abstract provides a comprehensive overview of the health and safety challenges facing gig workers in the expanding gig economy. It highlights the diverse range of risks gig workers encounter, from physical hazards to psychological stressors, exacerbated by the absence of traditional employer-employee relationships. Despite these challenges, the abstract underscores the potential for innovative solutions, such as technological advancements and collaborative efforts among stakeholders, to improve worker well-being. By emphasizing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 70–77 Read article
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Torsade de Pointes: A Comprehensive Review of Pathophysiology and Therapeutic Approach
Abstract: Torsade de pointes (TdP) is a rare form of polymorphic ventricular tachycardia, marked by fluctuating QRS complex amplitudes that twist around the isoelectric line on an electrocardiogram (ECG). It is commonly linked to prolonged QT intervals, which can be either acquired or congenital. While TdP often resolves spontaneously, it may lead to fatal ventricular fibrillation if untreated. Medications, electrolyte imbalances, and genetic conditions like Jervell and Lange-Nielsen syndrome contribute to …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 36–41 Read article
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AI and ML-Driven Immersive Technologies: A New Era in Education
Abstract: The very fast adoption of Artificial Intelligence (AI) and Machine Learning (ML) in education has transformed contemporary teaching and learning ecosystems driven by advances in immersive technologies and the growing engagement of global technology leaders with virtual environments. AI-powered educational platforms enable adaptive and personalized learning pathways by dynamically adjusting content, pace and instructional strategies to learners’ preferences, abilities and learning styles by improving engagement, retention and academic outcomes. Deep …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 116–123 Read article
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Automated Intelligence, Machine Learning, and Big Data in Education: A Practical Framework, Synthetic Demonstration, and Deployment Guidance
Abstract: Artificial intelligence (AI), machine learning (ML), and big-data methods are increasingly used to improve educational decision making through personalization, early-warning systems, scalable feedback, and operational analytics. This manuscript proposes a practical end-to-end framework for educational AI/ML projects, covering problem definition, data engineering, modeling, evaluation, intervention design, and responsible governance. To provide a complete and reproducible template without exposing sensitive student data, we present a synthetic demonstration study that mirrors typical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Health-Seeking Behavior among Women Living in Internally Displaced Persons Camp in Kagara, Niger State
Abstract: This study investigates health-seeking behavior among women in the Internally Displaced Persons (IDP) camp in Kagara, Niger State. Using a cross-sectional design, the study surveyed 400 women to understand factors influencing their health-seeking practices, including barriers to accessing healthcare. The findings of this study reveal that a combination of financial constraints, deeply ingrained cultural beliefs, logistical hurdles, and a general lack of awareness among internally displaced persons (IDP) women significantly …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 19–28 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 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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Strengthening Neurological and Familial Interventions: Adult Coping Following Pediatric Brain Injury and Comorbidity
Abstract: Background: Pediatric traumatic brain injury (PTBI) contributes to long-term physical, cognitive, and emotional difficulties and is a major cause of mortality and disability in children. An estimated 200,000 fatalities in India each year are attributed to traumatic brain injuries, with PTBI accounting for a significant share of these cases. Accidents, abuse, and sports injuries are just a few of the causes of post-traumatic brain injury (PTBI), which can result in …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 7–15 Read article
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Impact of Topical Pure Honey Application on Radiation-induced Oral Mucositis in Patients Receiving Radiation Therapy
Abstract: This quasi-experimental study assessed the effects of pure honey on radiation-induced oral mucositis in patients with head and neck cancer undergoing radiation therapy in Kottayam. The primary objectives were to evaluate the severity of oral mucositis in both experimental and control groups, determine the effectiveness of honey in alleviating symptoms, and examine the relationship between mucositis severity and selected demographic variables. Utilizing Bertalanffy’s General System Model as a conceptual framework, …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–18 Read article
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Necrotizing Enterocolitis (NEC): A Devastating Neonatal Gastrointestinal Disorder
Abstract: Necrotizing enterocolitis (NEC) represents a formidable challenge in neonatal medicine, particularly afflicting premature infants with its characteristic features of severe intestinal inflammation and necrosis. Despite advancements in neonatal care, NEC continues to exact a heavy toll, standing as a prominent cause of morbidity and mortality in this vulnerable population. Its multifaceted etiology, encompassing prematurity, enteral feeding practices, alterations in microbial colonization, and episodes of intestinal ischemia, underscores the complexity of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 78–83 Read article
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IoT Based Weather Monitoring System
Abstract: The Internet of Things (IoT)-Based Weather Monitoring System is developed to provide accurate, real- time monitoring of essential environmental parameters, including temperature, humidity, and atmospheric pressure. The system integrates high-precision sensors with a microcontroller, enabling continuous data acquisition from the surrounding environment. Collected data is transmitted wirelessly to a dedicated IoT platform via an internet connection, allowing remote users to access and visualize the information through web or mobile interfaces. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 26–34 Read article
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Rumen Microbial Adaptation to Dietary Shifts: Mechanisms, Challenges, and Implications for Sustainable Ruminant Production
Abstract: Rumen microbiota play a central role in the digestion and fermentation of dietary components, directly influencing the health and productivity of ruminants. Dietary shifts, such as transitioning from forage-based diets to concentrate-rich diets or incorporating feed additives, induce significant changes in the composition, structure, and functional dynamics of the rumen microbial community. These adaptations, while essential for maintaining microbial homeostasis, can also lead to transient imbalances, including risks of acidosis, …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 17–26 Read article
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Effect of a Multi-Component Intervention on the Quality of Life of Breast Cancer Patients Undergoing Chemotherapy in a Selected Oncology Centre
Abstract: Breast cancer remains the most commonly diagnosed cancer among women globally and continues to be a leading cause of cancer-related mortality among females. In India, it has become the most prevalent cancer among women, with a noticeable rise in incidence annually. The growing burden of breast cancer highlights the urgent need for effective supportive care strategies that address not only the physical but also the emotional and psychosocial well-being of …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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Psychological Profile of Patients Undergoing Hemodialysis and Its Association with Physiological Parameters
Abstract: Background: End-stage renal disease (ESRD) is a chronic, progressive condition requiring maintenance hemodialysis, which imposes substantial physiological, psychological, and social burdens on patients. While physiological indicators are routinely monitored during treatment, the influence of psychological factors on these indicators and patients' quality of life remains inadequately explored, particularly in the Indian context. Objective: To investigate the relationship between psychological variables (depression, anxiety, illness intrusiveness, and quality of life) and physiological …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Evaluation of the influence of supportive education on the religious beliefs and practices of cervical cancer patients in managing the disease at Tertiary Health Institutions in Ebonyi State, Nigeria
Abstract: This study investigated how 60 cervical cancer patients in a tertiary care facility in Ebonyi State, Nigeria How to use Cervical Cancer Support Education (CCSE) to manage their care. Using a quasi-experimental design, 60 participants were divided into an intervention group from two health institutions and a control group from the National Obstetric Fistula Centre. The research used a quasi-experimental design and collected data over a 13-month period using a …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 96–111 Read article
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Artificial Intelligence in Education: Enhancing Usability and Adoption Among Educators in Digital Classrooms
Abstract: The use of Artificial Intelligence (AI) in education has changed digital learning environments. It provides new tools to improve teaching and boost student engagement. However, even with more AI-enabled technologies available, not all educators are using them equally. This uneven adoption is mainly due to problems with usability, accessibility, and digital readiness. This study addresses the critical gap between the potential of AI in education and its practical utilization by …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
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Strategies for Flood Mitigation
Abstract: The world has always experienced change. Water-too much or too little is the most common cause of migration and a city's downfall. The notable and significant distinction right now is that we are seeing it in real-time for the first time in human history. We contributed to the dangers that were produced, and we contributed to the remedies that will influence the pace and scope of change and disruption. We …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article