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390 articles for “potential risks”
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Role of Food Supplements in Premalignant Lesions: A Literature Review
Abstract: Premalignant lesions of the oral cavity are histopathological alterations in the oral epithelium linked to a higher likelihood of malignant transformation. These lesions frequently present as leukoplakia (white patches), erythroplakia (red patches), oral lichen planus, and oral submucous fibrosis. Oral cancer, categorized among head and neck malignancies, is considered the sixth most common cancer globally. While tobacco and alcohol consumption remain the primary etiological factors, increasing evidence underscores the significant …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 17–26 Read article
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Assess the Knowledge Regarding Usage of Plastic Leading to Cancer Risk and Their Preventive Measures Among House Wives in Selected Area Vaniyamkulam
Abstract: This study explores the level of awareness among housewives in Vaniyamkulam about the potential cancer risks associated with the use of plastic materials in households, along with their knowledge of preventive measures. The proliferation of plastic usage in daily life has raised significant health concerns, particularly its potential to release carcinogenic compounds such as bisphenol A and dioxins, which can leach into food and beverages. Given the critical role housewives …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 12–17 Read article
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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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Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Health Risk and Evaluation of Atmospheric Pollutants in Owerri Metropolis and Sub-Urban Areas of Imo State, Nigeria Using Chemometric Models
Abstract: Concern about health risk from atmospheric pollutants; Particulate Matter (PM10), Sulphur dioxide (SO2), Nitrogen dioxide (NO2) and Carbon Monoxide (CO) prompted atmospheric monitoring and inhalation health risk assessment for residents of Owerri Metropolis and its Sub-urban areas. Field measurements were carried out in 35 select locations within Imo State. Monitoring was carried out using Chemometric methods as Matrix Laboratory (MATLAB) and Artificial Neural Network (ANN). According to the experiment results, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 47–79 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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Development and Characterization of Rubber Composites using E-Waste Residue as Functional Filler
Abstract: In the present study, residue generated during the recycling of end-of-life printed circuit boards (PCBs) was utilized as a functional filler in natural rubber to fabricate eco-friendly composites using mixing and molding techniques. Chemical analysis of the residue revealed the presence of several metals, including copper, iron, lead, tin, and zinc. The presence of these metals highlights the need for proper recycling and safe management of PCB residues, as their …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 512–523 Read article
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Understanding the Impact of GMO on Hormones and Their Effect on Mood: A Review Paper
Abstract: The research evaluates how consuming genetically modified organisms affects endocrine functioning that can potentially lead to mood changes or disorders. This is a systematic review paper that analysed sixty publications before selecting thirty which were obtained from Sciencedirect, Frontiers, Springer, Oxfordacadamic, Cabidigitallibrary, Wileyonlinelibrary, Cambridgeuniversitypress, Scijournals, Mdpi, Metabolismjournal; while using Prisma Flow Diagram as the research tool; acknowledging that human hormonal health risks from GMO consumption remain largely unknown due to …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 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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Geochemometric Assessment of Primordial Radionuclides and Trace Elements in Coastal Sediments: Environmental and Radiological Implications for South India
Abstract: This study focuses on environmental radioactivity and trace element contamination in coastal sediments along the southern region of the Indian subcontinent, from the Palar River to Pulicat Lake. Utilizing gamma-ray spectroscopy with a NaI (Tl) detector, along with atomic absorption spectroscopy, the research examines the spatial distribution and activity concentrations of primordial radionuclides—namely, 238U, 232Th, and 40K—as well as trace elements such as Ni, Pb, Mn, Zn, Cu, Co, Fe, …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 33–37 Read article
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Development and Assessment of a Nutraceutical Herbal Soft Drink
Abstract: The objective of this research was to develop and assess a nutraceutical herbal soft drink as a healthier alternative to conventional soft drinks, which have been scrutinized for their potential health risks due to high consumption rates. With an increasing number of individuals looking for healthier drink options, this study introduced a soft drink crafted from traditional herbs known for their nutritional benefits. The primary ingredients chosen for this soft …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 37–43 Read article
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Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article
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Groundwater Quality Assessment for Drinking and Irrigation Purposes in Tadimarri Mandal, Sri Sathya Sai District, Andhra Pradesh Using Water Quality Index and Geospatial Techniques
Abstract: Groundwater is the primary source of potable water and supports agriculture worldwide. Assessing its quality is vital to determine its suitability for various purposes, especially as a safe drinking water source. This study focuses on evaluating the quality of groundwater used for drinking and irrigation in Tadimarri Mandal, Anantapur district, Andhra Pradesh, India. During the pre-monsoon season, 30 groundwater samples were collected from boreholes and analyzed for physicochemical parameters. The …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 1–19 Read article
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Nanotechnology-Enhanced Battery Management System for Passive Cell Balancing in Lithium-Ion Polymer Batteries for Electric Vehicles
Abstract: The automotive industry is swiftly moving towards eco-friendly innovations, with electric vehicles (EVs) taking center stage in this transformation. A crucial component of these vehicles is the battery, particularly lithium-ion polymer batteries, which exhibit superior performance compared to other battery types. However, these batteries are sensitive to both overvoltage and undervoltage conditions, posing potential safety risks. Additionally, imbalances between individual cells can degrade battery performance and reduce its service life. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 27–34 Read article
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Neurotoxic Effects of Chronic Arsenic Exposure Among Leather Tannery Workers in Kanpur
Abstract: Chronic arsenic exposure is a known health risk, with potential neurotoxic effects. In industrial settings like leather tanneries, workers are particularly vulnerable due to prolonged exposure to chemicals, including arsenic. This study aims to investigate the neurotoxic effects of chronic arsenic exposure among leather tannery workers in Kanpur, focusing on symptoms of neurological damage and related health outcomes. To evaluate the prevalence of neurotoxic symptoms among leather tannery workers in …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 39–46 Read article
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Integrating Biotechnology, Physiology, and Agroecological Practices for Sustainable Crop Production and Protection
Abstract: Global agriculture is currently confronting a wide range of complex challenges, including a rapidly growing population, climate change, increasing pest and disease pressures, soil degradation, water scarcity, and the urgent need for sustainable intensification of crop production. Addressing these issues requires integrated strategies that combine crop improvement (through modern breeding and biotechnology), precision agronomic practices related to soil, irrigation, and nutrition, as well as advancements in plant physiology, molecular biology, …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Optical Fibre Pressure Sensor in Medicine: A Study
Abstract: In the intricate landscape of human health, precise measurement of physiological parameters is paramount for accurate diagnosis, effective treatment, and continuous patient monitoring. Among these vital parameters, pressure plays a critical role – from the subtle pulsatile rhythm of blood flow to the immense force of an intracranial hemorrhage. For decades, traditional electronic pressure sensors have served this purpose, yet they often come with inherent limitations: concerns about electrical interference, …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 18–27 Read article
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Electrochemical Evaluation of Corrosion Behavior in Industrial Alloys Under Acidic and Marine Conditions
Abstract: Corrosion represents a spontaneous physicochemical transformation in which metals revert to their more stable thermodynamic state, typically oxides, hydroxides, or sulfides, as a result of interaction with environmental elements. Rather than being a simple surface reaction, corrosion is a complex electrochemical phenomenon that significantly influences the durability, reliability, and performance of metallic structures across industrial, marine, and domestic sectors. The consequences extend beyond material degradation, contributing to substantial economic losses, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 24–36 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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A brief survey on Alternative and Complementary Medicine with special reference to safety, toxins and toxicological concerns
Abstract: Alternative and Complementary Medicine (ACM) is a wide range of healthcare practices that may be used within or alongside conventional medicine, and many of these practices are rapidly becoming accepted and integrated into the modern healthcare system. In addition to traditional medicine systems (e.g. Ayurveda, Unani Medicine, Traditional Chinese Medicine, and Homeopathy), ACM includes practices that utilize natural remedies including herbal medicine, phytotherapy, naturopathy, acupuncture, yoga, and meditation. While these …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 30–45 Read article