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301 articles for “data management”
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A Dynamic Text Compression Model for Big Data Applications Using Hadoop
Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Revolutionizing Material Flow and Handling: Industry 4.0 Integration in Logistics Management
Abstract: The integration of Industry 4.0 technologies has become pivotal in reshaping material flow and handling paradigms within logistics management. This paper presents an in-depth analysis of this transformative phenomenon. Industry 4.0's emergence has heralded an era of unprecedented automation, seamless data exchange, and cutting-edge technologies, fundamentally altering conventional logistics practices. Through an extensive review of recent literature, this study meticulously examines the profound impact of Industry 4.0 on material flow …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 24–34 Read article
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Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
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Persistent Atmospheric and Ecosystem Impacts of Enteric Methane Emissions from Intensive Livestock Production Systems
Abstract: Enteric methane emissions from intensive livestock production systems exert a significant long-lasting influence on atmospheric stability and ecosystem integrity. Recent observations confirm that global methane emissions continued to rise through the early 2020s, with total emissions exceeding 620 teragrams per year by 2024, driven by expanding ruminant production and associated feed systems. Anthropogenic sources accounted for more than 330 teragrams per year, reflecting sustained growth in agricultural and fossil fuel …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 18–38 Read article
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Harnessing Bacteria for Next-Generation Data Storage Technologies – A Review
Abstract: The exponential increase in global digital information has created a pressing need for storage technologies that are more durable, compact, and sustainable than conventional electronic media. While hard drives, solid-state drives, and cloud-based systems have transformed information management, they face severe limitations related to storage density, energy consumption, maintenance costs, and long-term preservation. Researchers have, therefore, begun exploring biological systems as alternative information storage platforms. Among these, bacteria have emerged …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 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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A Comprehensive Review of DiagnoTech: Your Healthcare Companion
Abstract: The review paper “A comprehensive review of DiagnoTech: Your Healthcare Companion” brings forth a transformative solution in the advancements of healthcare technology which aims to be an all-in-one Healthcare Companion. It explores the four key elements of DiagnoTech: Lab Tests, Body Mass Index (BMI) Calculation, Yoga and Diet Recommendations, and disease prediction. It brings to light each of these features’ functionalities, integration, and their collective impact on the healthcare industry. …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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A Study to Assess the Stress and Anger Management by Deep Breathing Exercise and Meditation Among Adolescent Nursing Students at a Selected Nursing School in Delhi
Abstract: Introduction: Stress is a response that can lead to physical, emotional, or psychological strain. It is a frequent occurrence in daily life. Stress acts as the body's natural mechanism for defense against potential threats and dangers. It initiates a release of hormones that ready the body's functions to either confront danger head-on or retreat, commonly known as the fight-or-flight reaction. Anger can be caused by both external and internal events …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
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CB₁ Reverse Agonists: A Cheminformatic and Patent Landscape Study
Abstract: The endocannabinoid system plays a crucial role in numerous physiological functions, making cannabinoid receptor 1 (CB1) an attractive target for therapeutic development. This review provides a systematic analysis of patent filings from 2019 to 2023 that focus on small-molecule CB1 reverse agonists. It begins with an overview of the endocannabinoid system, highlighting CB1’s involvement in energy balance, pain regulation, and neuroinflammatory processes The main section of the review examines fifteen …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 33–36 Read article
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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AI-Powered IoT System for Early Detection and Monitoring of Livestock Health
Abstract: Protection of food production exists through livestock farming operations that advance economic global power. Continuous challenges to agricultural industry practices result in harmed animal health and enable disease spread as well as environmental threats to their welfare. Implementing current innovative solutions right away is necessary to solve these problems. The AI and IoT-based smart livestock health monitoring system functions as the fundamental development approach across this industry. The present integrated …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Facial Biometrics for Attendance System
Abstract: This paper discusses the necessity for effective student attendance management systems by proposing a smart attendance management system utilizing biometric technology. It is well recognised that manually recording attendance is time-consuming and error prone. In this study, we propose a Facial Biometrics attendance system that automates attendance process without requiring human intervention. The system consists of a camera placed in the classroom to take pictures of the pupils. Subsequently, the …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 36–44 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Emerging Therapies for Diabetes Mellitus: Efficacy and Safety of USFDA-Approved Drugs and Late-Stage Clinical Trials
Abstract: This review provides a comprehensive analysis of drugs approved by the U.S. Food and Drug Administration (USFDA) for managing diabetes mellitus (DM) from 2013 to 2022, including emerging treatments from phase 3 clinical trials during this period. Over the past decade, the treatment landscape for diabetes has evolved significantly, with new therapies not only improving blood sugar control but also targeting broader health outcomes like heart and kidney health. In …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 11–23 Read article
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The Hidden Struggle: Premenstrual Depression its Impact on Women’s Health and Management Strategies: A Narrative Review.
Abstract: Background: Premenstrual depression, including Premenstrual Syndrome (PMS) and Premenstrual Dysphoric Disorder (PMDD), represents a significant yet underrecognized contributor to women’s mental health burden. Hormonal fluctuations during the luteal phase interact with neurotransmitter systems, particularly serotonin and GABA, leading to affective and somatic symptoms that impair daily functioning. Objective: This systematic review synthesizes evidence on the prevalence, pathophysiology, psychological impact, and management strategies of premenstrual depression among reproductive-aged women, with particular …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 21–32 Read article
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Atmospheric Determinants of Feed, Fodder, and Forage Contamination in a Changing Climate: Emerging Challenges for Sustainable Livestock Production
Abstract: Feed, fodder, and forage contamination represents a growing constraint to sustainable livestock production under a changing climate. Atmospheric determinants such as rising temperature, altered precipitation patterns, increased humidity, elevated carbon dioxide concentration, and enhanced aerosol and pollutant loads are increasingly recognized as critical drivers of contamination risks across feed supply chains. These atmospheric factors directly and indirectly influence crop growth, fungal proliferation, mycotoxin biosynthesis, microbial survival, and the deposition of …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article