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461 articles for “collaborative”
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Management of Team Work in a Digital Age for Sports Programme Effectiveness in Public Senior Secondary Schools in Rivers State, Nigeria
Abstract: This study was basically on the management of team work in a digital age for sports programme effectiveness in public senior secondary schools in Rivers State, Nigeria. A descriptive survey research design was adopted. The population comprised all 286 principals and 572 sports officials across the public senior secondary schools in the state. A sample size of 429 respondents was selected using a stratified random sampling technique. Data collection was …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 8–13 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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From Trace to Truth: Integrating Forensic Science, Analytical Chemistry, Medical Evidence and Artificial Intelligence in Modern Criminal Investigation
Abstract: Modern criminal investigations are inherently interdisciplinary, integrating medical research, forensic science, analytical chemistry, and artificial intelligence (AI) to transform hazy traces into reliable, legally recognised evidence. This study examines the ways in which different domains collaborate across the whole investigation process, ranging from judicial review, laboratory analysis, and computer processing to crime scene management and evidence retrieval. This research is based on a thorough review of scholarly literature and a …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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The Doomsday Clock and Global Health: A Medical Sociological Analysis of Existential Threats to Human Civilization From 1947 to 85 Seconds to Midnight Situating the Biosocial Crises of the Twenty-First Century
Abstract: Since its inception in 1947, the Doomsday Clock maintained by the Bulletin of the Atomic Scientists has functioned as a socially constructed barometer of civilisational risk, translating complex scientific, geopolitical, and technological threats into a universally legible symbolic chronometry. As of January 2026, the Clock stands at 85 seconds to midnight, its most alarming position in nearly eight decades of operation. This article adopts a medical sociological framework, drawing on …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Community Resilience Against Terrorism: Strengthening Social Cohesion to Prevent Radicalization
Abstract: This article explores the critical role of social cohesion and community resilience in preventing radicalization and violent extremism. While traditional counterterrorism strategies have primarily relied on military operations, intelligence gathering, and law enforcement interventions, growing evidence suggests that community-based approaches offer more sustainable and long-term solutions. Drawing on global examples, particularly from Denmark and Indonesia, the study highlights how early intervention, cross-sector collaboration, and the active participation of civil society …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 13–17 Read article
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Bioinformatics and Medicine: Bringing Data to the Bedside
Abstract: From being an empirical and experience-based practice, modern medicine has transformed into a codified and research-based discipline, known as Evidence-Based Medicine (EBM). Though EBM has greatly enhanced the quality of medical practice through population-scale clinical trials, it still has limitations in managing biologically diverse patient populations, especially when dealing with clinical outliers who respond in an unusual way to standard treatments. With the rapid progress in genomics, proteomics, and high-throughput …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 41–46 Read article
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Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Transforming Punjab's Education System: A Critical Analysis of Automation and Artificial Intelligence
Abstract: The rapid advancement of Artificial Intelligence (AI) and automation technologies is transforming education systems across the globe. In Punjab, one of India's leading educational regions, AI-driven tools and automated technologies are increasingly being adopted to improve teaching, learning, assessment, administration, and institutional management. This study critically examines the impact of AI and automation on Punjab's education system by exploring their opportunities, challenges, and future prospects. The research is based on …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 31–42 Read article
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Artificial Intelligence -Driven in Clinical Pharmacy Practice: Transforming Medication Management and Patient-Centred Care
Abstract: Artificial intelligence (AI) is transforming clinical pharmacy practice by enhancing the safety, accuracy, and efficiency of medication management while supporting evidence-based clinical decision-making. Recent advances in machine learning, deep learning, natural language processing, and predictive analytics have enabled the integration of AI into various aspects of pharmacy practice, including drug discovery, pharmacovigilance, clinical decision support, personalized medicine, medication adherence, and patient counselling. The objective of this review is to provide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Heteroatom modified carbon dots (N, P, K): synthesis, surface functionalization, and prospects for soil‑fertility enhancement
Abstract: Heteroatom‑functionalized carbon dots (H‑CDs) have emerged as a class of zero‑dimensional carbon nanomaterials offering tunable optical, electronic, and catalytic properties through controlled nitrogen, phosphorus, and potassium doping. This review highlights the chemistry and chemical‑technology dimensions of N‑, P‑, and K‑doped carbon dots (N‑CDs, P‑CDs, K‑CDs), focusing on their synthesis strategies, surface functionalization, and structure–property relationships. Conventional routes such as microwave‑assisted pyrolysis, hydrothermal carbonization, and one‑pot solvothermal methods are discussed, with …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 30–35 Read article
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The UGC-CARE Initiative and Its Impact on Indian Research Productivity: A Bibliometric Analysis of Web of Science Publications
Abstract: This bibliometric study evaluates the impact of the UGC CARE initiative on Indian research output in Web of Science (WoS) indexed journals, comparing the pre UGC CARE (2000-2018) and post UGCCARE (2019-2024) periods. The analysis reveals a threefold increase in annual publications, from 42,406 to 139,355, alongside shifts in institutional contributions, subject trends, and journal preferences. Engineering overtook Chemistry as the dominant field, and open access adoption rose to 36.60%. …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 48–54 Read article
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Siri Bhuvalaya – An Ancient Universal Archive of Knowledge in Jain Tradition
Abstract: Siri Bhuvalaya, attributed to the Jain monk Kumudendu around the 11th century C.E., represents a unique multidimensional literary work that outshines conventional textual forms. Encoded through complex numerical matrices known as chakras and combinatorial rules called bandhas, it preserves a vast interdisciplinary compilation encompassing philosophy, mathematics, astronomy, chemistry, medicine, and linguistics. The text embodies Jain doctrines of pluralism and conditional truth by enabling multiple valid readings across over 700 languages. …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 10–14 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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The Emerging Roles of the School Librarian in the Tech Era: A Transformative Synergy with NEP 2020 and KVS Initiatives
Abstract: The implementation of the National Education Policy (NEP) 2020 in India mandates a radical paradigm shift in the school education ecosystem, moving from rote-based learning toward a 5+3+3+4 pedagogical structure centered on critical thinking and multidisciplinary exploration. This paper employs a Qualitative Policy-to-Practice Synthesis (QPPS) design to analyze the evolving role of the school librarian as a strategic catalyst within this framework, with a specific focus on the Kendriya Vidyalaya …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 15–21 Read article
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Role of Clinical Pharmacists During Cardiopulmonary Resuscitation in Intensive Care Units and Emergency Departments: A Narrative Review
Abstract: Cardiopulmonary resuscitation (CPR) represents an essential emergency procedure designed to reestablish spontaneous circulation and enhance survival rates among individuals suffering cardiac arrest. Successful resuscitation necessitates prompt clinical judgment, expeditious pharmaceutical interventions, compliance with advanced cardiovascular life support (ACLS) guidelines, and synchronized interprofessional collaboration. During recent decades, clinical pharmacists have gained greater incorporation within emergency response and resuscitation units owing to their specialized knowledge in medication oversight, pharmacotherapeutic enhancement, and patient …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 12–25 Read article
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AI-Powered Traffic Management System
Abstract: An artificial intelligence (AI)-based traffic management system is an innovative and intelligent project for improving urban traffic control and emergency response using AI and artificial vision. With the rapid increase in vehicle numbers and urban populations, traditional traffic management systems are unable to effectively address all real-time traffic situations due to congestion, fuel consumption, and emergency deceleration. To address these limitations, this project utilizes the YOLOv8 (You Only Look Once, …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
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Impact of Artificial Intelligence on Education
Abstract: Although the exact influence of AI on the future is still uncertain, one truth stands clear: AI is among the most crucial technologies of our time, actively shaping various sides of our daily existence, from online relationships to consumer spending patterns. But how will this innovation affect employment down the line? What outcomes can we expect? A lasting demographic of individuals unable to secure jobs due to automation? Economies where …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 53–59 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article