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1896 articles for “role”
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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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Spectral Mapping and Tracking Error of MBOC signal and Wavelet based GNSS receiver
Abstract: This research paper delves into the historical evolution and contemporary state of the art in navigation technologies, emphasizing the paramount importance of reliable positioning systems. Tracing the journey from ancient primitive methods to the present-day Global Navigation Satellite Systems (GNSS), with a focus on the Global Positioning System (GPS), the paper explores the diverse instruments and methods developed by civilizations throughout history to determine location and navigate effectively. The main …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems
Abstract: Sustainable livestock production is increasingly constrained by disease pressure, antimicrobial resistance, and declining feed efficiency under intensifying environmental stressors. Conventional nutritional strategies, while essential, remain insufficient to precisely regulate immune function and metabolic resilience. This review explores the emerging role of Monoclonal antibodies as advanced biologics in next generation animal nutrition, with a focus on mapping nutrient immune interaction networks in livestock systems. It synthesizes current knowledge on how nutrients …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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Waste-Heat Recovery Systems for Sustainable Industrial Energy Management
Abstract: Industrial processes consume vast amounts of energy, often resulting in substantial heat losses to the environment. Waste-heat recovery (WHR) systems provide a viable solution to harness this otherwise lost thermal energy, improving overall energy efficiency, reducing operational costs, and contributing to sustainable industrial practices. This study investigates the design, implementation, and optimization of waste-heat recovery systems across various industrial sectors, including power generation, chemical processing, cement production, and steel manufacturing.The …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 78–84 Read article
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Enhancement of Flexural Strength in FDM-Printed Components through Taguchi-Based Process Parameter Optimization
Abstract: Additive manufacturing (AM), especially Fused Deposition Modeling (FDM), has emerged as a widely adopted and versatile method for producing three-dimensional components. The process involves the deposition of a thermoplastic filament in a semi-molten state, which solidifies in successive layers to form the final structure. While this method enables the production of complex geometries at relatively low cost, the printed parts often exhibit inferior surface quality and reduced mechanical performance compared …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 272–280 Read article
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Library Science Education in India: Evolution, Emerging Trends, and Challenges
Abstract: Library and Information Science (LIS) education in India has undergone significant transformation over the past century, evolving from traditional library training to a dynamic academic discipline shaped by technological advancements and changing information needs. This study examines the origin, development, and current status of LIS education in India, with particular emphasis on its evolution in the contemporary digital environment. The research adopts a qualitative and exploratory approach and is based …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 75–87 Read article
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Modern Chemistry & Chemical Technology in Sensor Formation
Abstract: The field of sensor formation stands at the vibrant intersection of modern chemistry and chemical technology, driven by an insatiable demand for precise, rapid, and sensitive detection across myriad applications. This paper explores the foundational and transformative role these disciplines play in engineering next-generation sensing platforms. Modern chemistry, through its atomic-level precision in synthesizing novel responsive materials – ranging from advanced polymers and supramolecular architectures to cutting-edge nanomaterials like graphene, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article
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Water Comparative Study of Water Quality
Abstract: Water quality plays a vital role in safeguarding human health, maintaining environmental balance, and supporting socio-economic progress. For drinking purposes, water must satisfy established physical and chemical criteria to minimize health hazards and ensure the efficient functioning of biological processes. This research focuses on a comparative assessment of drinking water quality by analyzing key parameters such as pH, Total Dissolved Solids (TDS), hardness, and fluoride levels in both tap water …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 85–98 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Non-Destructive Examination Protocols in API 650 for Welded Storage Tank Fabrication: A Comprehensive Review
Abstract: The storage tanks play vital roles in industrial sectors, including oil and gas, manufacturing, and chemical processing by enabling safe containment of liquids and gases during key operations like production, treatment, refining, transport/distribution, and inventory control. API 650 standard is a worldwide recognized specification that covers the design and manufacturing criteria for large, welded steel storage tanks. API 650 ensures that tanks are built to withstand internal pressures and environmental …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 29–60 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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Leveraging Arduino Nano for Developing a User-Friendly and Automated Medicine Dispensing System
Abstract: The goal of the "MED BUDDY" project is to address the urgent need for medication management, particularly for elderly individuals, those with chronic illnesses, and those who must adhere to a rigorous medication schedule. An Arduino Nano microcontroller powers the automated medication dispenser known as the MED BUDDY system. By dispensing the appropriate dosage of medication at the appropriate time, it lowers the possibility that users will forget or take …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 37–46 Read article
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Grey Water Recycling
Abstract: Domestic grey water recycling and reuse in residential buildings have been comprehensively examined. It is estimated that recoverable grey water can account for approximately 35% to 40% of total household water demand, highlighting its substantial potential to reduce freshwater consumption in domestic settings. A comprehensive worldwide review of grey water recycling and reuse practices has been reported, highlighting the increasing importance of sustainable water management in both developed and developing …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 69–77 Read article
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Integrated Surface Water–Groundwater Dynamics: Implications for Pollution Pathways, Prevention, and Environmental Control
Abstract: Water resources worldwide are increasingly threatened by pollution pressures amplified by climate change and intensified human activities. The vulnerability of surface water and groundwater systems to contamination is strongly governed by their dynamic hydrologic connectivity, which is often overlooked in pollution prevention and control frameworks. Rising global temperatures, altered precipitation regimes, land-use change, and intensified abstraction patterns modify recharge processes, flow paths, and contaminant transport mechanisms across environmental landscapes. This …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 34–40 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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Review on Severe Plastic Deformation Techniques for Bulk Materials: Deformation Behavior and Properties
Abstract: This paper presents a detailed review of the efficient application of Severe Plastic Deformation for the fabrication of ultra-fine-grained and nanostructured crystalline bulk materials. Severe Plastic Deformation allows substantial grain refinement while largely preserving the original dimensions of the workpiece, making it especially suitable for ductile materials capable of sustaining very high strains under elevated hydrostatic pressure prior to failure. The study investigates the grain refinement mechanisms involved in Severe …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 40–72 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article