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206 articles for “ethical challenges”
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Navigating the Spectrum of Patient Care: A Comprehensive Approach
Abstract: In the ever-evolving landscape of healthcare, providing optimal patient care demands a multifaceted approach that spans across diverse dimensions. “Navigating the Spectrum of Patient Care: A Comprehensive Approach” delves into the intricacies of modern healthcare delivery, offering insights into the myriad factors that influence patient outcomes. This comprehensive analysis encompasses various aspects, including clinical expertise, technological advancements, patient engagement strategies, ethical considerations, and healthcare policy implications. By examining the intersections …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 1, 2025 · pp. 28–34 Read article
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Ramifications of Artificial Intelligence and Cyber Security
Abstract: Artificial intelligence (AI) has pros and cons for cyber security: AI can improve network security, anti-malware, and fraud detection. AI can simulate cyberattacks, automate responses, and analyse enormous databases. AI-powered phishing and deepfakes are cyber risks. AI can potentially be attacked and become a liability for corporations. AI has transformed cyber security, bringing both new opportunities and challenges. AI-powered tools discover abnormalities faster, automate threat responses, and improve threat detection …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 40–45 Read article
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Emerging Trends in Interdisciplinary Perspectives and Future Frontiers in Modern Symmetry
Abstract: Symmetry, long recognized as a cornerstone of the natural sciences, has increasingly found relevance across a variety of disciplines, from physics and mathematics to economics, architecture, and systems theory. This interdisciplinary review explores the expanding role of symmetry as a conceptual and analytical tool, highlighting its applications in diverse fields. In classical and quantum physics, symmetry principles form the foundation for conservation laws, particle interactions, and field equations. In economics …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 26–30 Read article
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Analyzing the Cognitive Proficiencies of Artificial Intelligence Within the Legal Paradigm: Prospects Within the Jurisdiction of India
Abstract: The swift progress of artificial intelligence (AI) has become a pivotal factor in various industries, notably affecting the legal sector. This study extensively investigates the substantial effects of AI on legal research and case analysis, mapping out the progression of AI technology within the legal domain. The exploration goes beyond mere acknowledgment of AI‘s presence, delving into a nuanced analysis of its potential advantages and the formidable challenges it poses …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 84–112 Read article
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Industry 4.0 and Smart Supply Chains: Transforming Supply Chain Processes for Enhanced Efficiency and Sustainability
Abstract: The fourth industrial revolution, or Industry 4.0, is an important transformation in how industries function via the use of cutting-edge digital technology. Supply chain management is being substantially altered by integrating technologies like blockchain, big data, automated processes, artificial intelligence, and the internet of things into typical operations of the supply chain. With the help of these technologies, corporations can design intelligent supply chains that are more effective, flexible, and …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 36–41 Read article
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Implementation of Artificial Intelligence Technology in Tele Medicine
Abstract: The practice of medicine across locations by the prudent application of information and communication technology is known as telemedicine. As a result of the COVID-19 epidemic, telemedicine has experienced exponential growth on a global scale. Artificial intelligence has the potential to enhance and broaden the scope of telemedicine, opening up countless opportunities for creating solutions for particular medical need. AI in telemedicine has the potential to significantly aid in the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 41–50 Read article
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Nanomaterial Embedded in Sensor Technology: A New Era of Sensing Solutions
Abstract: The emergence of nanotechnology has catalyzed remarkable advances in sensor technology, leading to the development of highly sensitive and selective devices critical for a wide range of uses, from environmental monitoring to biomedical diagnostics. Nanomaterials, characterized by unique physical and chemical properties at the nanoscale, serve as effective building blocks for these sensors. This article explores the incorporation of nanomaterials in sensor technology, detailing their operational mechanisms, benefits, and challenges. …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 13–23 Read article
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Statistical Models for Predicting Genetic Variability and Disease Susceptibility
Abstract: Differences in genetics are key to understanding why some individuals are more prone to certain diseases than others. Recent advancements in genomic research, combined with statistical modeling techniques, have made significant strides in predicting disease risk based on genetic factors. This review explores the application of statistical models for predicting genetic variability and their role in disease susceptibility. We discuss traditional methods like linear regression and genome-wide association studies (GWAS), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 30–34 Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Dental and Oral Health Challenges in Patients with Eating Disorders: An Updated Review
Abstract: Eating disorders are complicated psychiatric disorders with profound systemic and oral health implications that are often not identified in clinical practice. Dietary restriction, binge eating, and self-induced vomiting are disorders eating behavior that negatively impact the oral cavity via nutritional deficiency, exposure to acid, malfunction of salivary activities, and changes in immune and microbial. These processes lead to a wide spectrum of oral and dental effects such as dental erosion, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 25–34 Read article
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Exploring the Potential of AI-Driven Personalized Learning and Cognitive Interventions for ADHD Management in Indian Children and Adolescents: A Focus on Early Intervention
Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition that significantly impairs attention, executive functioning, and behavioural regulation in children and adolescents. In India, the management of ADHD is particularly challenging due to low public awareness, social stigma, and a critical shortage of specialized mental health services, especially in rural areas. These systemic barriers often lead to delayed diagnoses and limited access to consistent care. However, with the rapid …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Drug Marketing in Tropical Regions and Its Effect on Pharmacovigilance Awareness and Reporting
Abstract: Drug marketing practices in tropical regions present a complex interplay between pharmaceutical promotion, healthcare infrastructure limitations, and public health outcomes. These regions – characterized by high disease burden, socio-economic disparities, and diverse healthcare delivery systems – often experience unique challenges in ensuring safe and rational drug use. Aggressive and sometimes unregulated marketing strategies by pharmaceutical companies may significantly influence prescribing behavior, patient compliance, and, ultimately, pharmacovigilance systems. Pharmacovigilance, defined as …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 · pp. 1–17 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Rethinking Stocking Density in Broilers: Assessments of Physiological, Behavioral, and Environmental Impacts
Abstract: High stocking density in broiler production is a common practice aimed at maximizing space utilization and economic returns. However, it poses significant challenges to the performance, health, and welfare of the birds. This study explores the multifaceted impacts of elevated stocking density on broiler chickens, highlighting the physiological, behavioral, and environmental factors that deteriorate their overall well-being. Increased stocking density is associated with reduced growth rates, poor feed conversion efficiency, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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A Study on Relationship of Sustainable Development Goals with the Usage of Cosmetic Skin Care Products- A Study
Abstract: Sustainable Development Goals is nothing but making addressing the conflicts worldwide and giving better lives for people in the globe. The main aim is to tackle the challenges along with others to make the globe more sustainable for future generations. There are seventeen goals defined in SDGs which are focused on sustainable development. They are exclusively designed for eradication of poverty, protection of the environment, and the promotion of our …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 36–40 Read article
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Role of Generative AI in Redefining Data Analytics
Abstract: The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 01–07 Read article