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319 articles for “Risk assessment”
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A Comprehensive Study of Risk-Adaptive Access Control in Advanced Database Management Systems
Abstract: The current control methods for accession of a crucial resource often struggle to provide adequate security in dynamic and complex advanced database management systems (DBMS). These static models lack the flexibility to adapt to evolving threats and contextual changes, leaving potential vulnerabilities. Risk-Adaptive Access Control (RadAC) emerges as a sophisticated solution, integrating real-time risk assessment into authorization decisions to dynamically adjust access permissions. This review article provides a comprehensive study …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 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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Tobacco and COVID-19: Molecular Interactions and Public Health Challenges – A Review
Abstract: Tobacco use exacerbates health risks, making it a significant concern during the COVID-19 pandemic. Smoking has been implicated in the upregulation of ACE2 receptors, critical for SARS- CoV-2 entry, and contributes to immune dysregulation and oxidative stress, worsening clinical outcomes. Methods: This review synthesizes evidence on the molecular mechanisms linking tobacco and COVID-19, assesses risk factors, such as smoking status and comorbidities, and explores public health challenges in managing the …
Published in International Journal of Virus Studies · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Enhancing Safety Protocols in Industrial Operations
Abstract: Industrial safety is a crucial aspect of maintaining both operational efficiency and protecting the workforce in hazardous environments. Despite significant advancements in safety technologies and regulatory frameworks, industrial accidents remain a persistent problem, often leading to severe injuries, fatalities, and financial losses. Such incidents typically arise from a combination of factors, including human error, equipment malfunctions, and insufficient safety protocols. In response to these challenges, this paper examines key strategies …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Crossroads of Ecology and Medicine: Evaluating Pollutant-Induced Risks to Biodiversity and Human Health
Abstract: Environmental pollution has emerged as a central challenge at the crossroads of ecology and human medicine. The rapid pace of industrialization, urbanization, and agricultural intensification has led to an unprecedented release of pollutants into the air, water, and soil—triggering cascading effects on ecosystems and human health. Pollutants such as particulate matter, heavy metals, pesticides, microplastics, endocrine-disrupting chemicals, and persistent organic pollutants not only degrade biodiversity but also exert multifaceted health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 41–53 Read article
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AI Approaches in Gait and Posture Analysis: A Review
Abstract: This review synthesizes current research on the application of artificial intelligence (AI) in gait and posture analysis, focusing on methodologies, algorithms, and clinical applications. It examines the use of machine learning (ML) and deep learning (DL) techniques to extract relevant features from sensorderived data, offering objective, and automated assessments that surpass traditional methods. A systematic literature review was conducted, analyzing studies that utilized AI for gait and posture analysis with …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 1–3 Read article
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Paradigm of Artificial Intelligence in Business Management
Abstract: Artificial intelligence stands out as a prominent trend in today's technological landscape, enabling machines to engage in human-like thinking, learning from experiences, adapting to new inputs, and making decisions. This capability facilitates rapid and error-free results, akin to human rational decision-making. In the contemporary business landscape, which is often regarded as a cornerstone for national development, artificial intelligence plays a pivotal role. Businesses, ranging from small-scale enterprises to medium-sized ones …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 26–30 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
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MicroRNAs in Animal Behavior: Regulation of Memory and Decision-Making in Mammals
Abstract: MicroRNAs are small, non-coding RNA molecules that play a crucial role in post-transcriptional regulation of gene expression. In recent years, their significance has extended beyond cellular development and disease regulation, as emerging evidence suggests they are critical mediators in complex behavioral processes, including learning, memory, and decision-making. This article explores the role of miRNAs in regulating neural plasticity and cognitive functions in mammals, emphasizing their involvement in memory formation and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 21–25 Read article
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Applications of Nanomaterials in Soil Science and Agriculture: Enhancing Stability and Bioavailability through Nano-Encapsulation
Abstract: This research project focuses on the development and use of nanomaterials (NMs) for enhancing natural security in agricultural, feed, and food sectors. Protein-based and polysaccharide-based NMs, which self-assemble into micelle-like structures, have shown promise in improving the stability, bioavailability, and delivery of vital nutrients, agrochemicals, and medications through nano-encapsulation techniques. Nanomaterials such as modified nanoclays, including montmorillonite, have been employed in food packaging to enhance mechanical strength and create barriers …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 23–28 Read article
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Occupational Health and Safety Measures by the Human Resource Department in Pvt. Ltd., Mysuru
Abstract: The Human Resource (HR) department plays a crucial role in implementing Occupational Health and Safety (OHS) measures, ensuring employee well-being in Pvt. Ltd companies in Mysuru. This abstract explores the various strategies adopted by HR to minimize workplace hazards, promote a safety culture, and comply with legal regulations. Some important steps are regularly assessing risks, offering safety training, and making sure personal protective equipment (PPE) is readily available. HR also …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 29–35 Read article
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Satellite Sensing for Sea Level Monitoring: A Transformative Approach to Understanding Climate Change
Abstract: Satellite sensing becomes an essential tool for risk assessment and management as coastal communities continue to struggle with the numerous threats posed by climate change. By using this technology, environmental scientists, legislators, and urban planners may make better judgements that will result in coastal towns that are safer and more resilient. A major advancement in reducing the effects of extreme weather, environmental degradation, and rising sea levels has been made …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 29–37 Read article
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Use of Emerging Technologies in Disaster Management
Abstract: India, one of the most disaster-prone nations, faces increasing challenges from natural and man- made disasters. To address these risks, the country has developed a multi-tiered institutional framework, led by the National Disaster Management Authority (NDMA) and supported by state and local bodies. While these efforts provide a strong foundation, the integration of emerging technologies is reshaping disaster management. Technologies like Artificial Intelligence (AI), drones, and advanced early warning systems …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 01–07 Read article
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Antibiotic Resistance in Microbes: History, Mechanisms, Therapeutic Approaches, and Strategies for Mitigation
Abstract: The global emergence of clinically significant antibiotic resistance is increasingly linked to the environment. Antimicrobials, metals, and biocides are just a few of the substances that are released into the environment through paths that are regulated by environmental regulators. Consequently, environmental regulators ought to be heavily involved in developing national and international antimicrobial resistance (AMR) measures. Antimicrobial compounds from pharmaceutical waste, agricultural runoff, and wastewater discharge contribute to the spread …
Published in International Journal of Antibiotics · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Gene Drive Technology: Potential and Risks for Global Biodiversity
Abstract: Gene drive technology has emerged as a groundbreaking tool with significant potential to address critical global challenges, particularly in managing and preserving biodiversity. By enabling targeted alterations to the genetic makeup of species, gene drives could facilitate the control of invasive species, mitigate vector-borne diseases, and even aid in the restoration of endangered species. However, the rapid pace of development and deployment of gene drive technologies raises concerns about unintended …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 6–10 Read article
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A Transformative Approach to Empathetic Climate Change by Satellite Sensing
Abstract: Satellite sensing is becoming an increasingly important instrument for risk assessment and management as coastal communities continue to grapple with the myriad of dangers that are posed by climate change. Through the utilization of this technology, environmental scientists, legislators, and urban planners have the potential to make more informed decisions, which will ultimately lead to coastal communities that are safer and more resilient. The incorporation of satellite data into urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 35–42 Read article
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Reviewing Threat Detection Methods in SaaS Platforms Through the Use of Adaptive Cloud Security Models
Abstract: Software as a Service (SaaS) solution has revolutionized the contemporary business processes as scalable and service-on-demand solution on cloud networks. Yet, this expansion has brought in sophisticated cybersecurity risks because of a multi-tenant environment facing the internet in the SaaS environment. The key to assure the service availability and protection of the data stored off-site is effective threat detection in such dynamic ecosystems. This review article seeks to discuss the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 Read article