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357 articles for “management frameworks”
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Prevention of Primary Hypertension Through Asbab-e-Sitta Zaruriya: A Therapeutic Paradigm
Abstract: Hypertension, defined as blood pressure elevation to a level that increases the risk of organ damage, Recent guidelines classify hypertension as systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥80 mmHg, distinguishing between primary (essential) and secondary forms. It affects over one billion individuals globally and contributes to approximately 9.4 million deaths annually. Nearly 63% of total deaths in India are due to non-communicable diseases, of which 27% are …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 13–20 Read article
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Integrative Perspectives on Lipoma: Traditional Therapeutics from Siddha, Ayurveda, and Unani with Biomedical Correlates
Abstract: Background: Lipoma is the most common benign soft tissue tumor, with an incidence of approximately 2 per 1,000 individuals annually. Modern biomedicine attributes its pathogenesis to genetic abnormalities like HMGA2 rearrangements and dysregulated adipogenesis via PPARγ pathways. Effective pharmacological therapies are lacking. Traditional Indian systems – Siddha, Ayurveda, and Unani – offer unique perspectives and non‑surgical approaches yet remain underexplored in integrative research. Objective: To critically evaluate the descriptions, pathophysiological …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 19–33 Read article
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Physico-Chemical Analysis of Soil Quality Parameters in Tamilnadu Region An Analytical Approach Towards Life on Land -SDG 15
Abstract: This study examines the physico-chemical properties of soil in Tamilnadu region, supporting SDG 15’s framework for sustainable land management. Soil, as a vital non-living component, plays a crucial role in ecosystem functioning by facilitating nutrient cycling, retaining water, and supporting habitats for a wide range of organisms. The research analysis key physical parameters (colour, texture, structure, porosity, density, consistency, temperature) and chemical properties, focusing on both macro and micronutrients. Various …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 9–15 Read article
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Analysis and Application of Mathematical Modeling in Malaria Disease Control
Abstract: In this paper, we develop a mathematical model to analyze malaria transmission dynamics, as malaria is an infectious disease caused by the spread of progenitor parasites to humans through the bite of the female Anopheles mosquito. Mathematical models have long served as a framework for understanding and managing the impact of malaria, which has affected populations for over a century. Our model incorporates infected individuals who may recover and later …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 19–25 Read article
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Measuring Tree Diversity of Sitaram Peth Village of Bhadravati Taluka of Chandrapur District by Applying Whittaker’s Additive Model
Abstract: Forest plays a major role for sustaining biodiversity and various ecological services. There are 12 tribal districts in the Maharashtra state, which holds about 60 percent of total forest cover of the state. And among these tribal districts, Chandrapur and Gadchiroli together shares about 46 percent of forest cover. For the better conservation and management practices, the tree diversity of these forest should be measured periodically. In the present study, …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 49–54 Read article
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Integrating Social Perception and Economic Valuation for Riparian Zone Preservation: Evidence from Kiliti Watershed, Ethiopia
Abstract: Riparian zones play a crucial role in maintaining watershed health by providing ecosystem services such as water filtration, erosion control, biodiversity conservation, and aesthetic and cultural benefits to surrounding communities. Despite their importance, riparian areas in many developing countries are increasingly degraded due to agricultural expansion, grazing pressure, and settlement encroachment. This study integrates social perception analysis with economic valuation to assess riparian zone preservation in the Kiliti Watershed, Northwestern …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 49–55 Read article
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Leveraging Large Language Models for Personalized Document Summarization and Question Answering: An Architecture for Stoner-Friendly Chatbots
Abstract: This study presents a detailed framework for developing personalized chatbots that utilize large language models (LLMs) to process and extract information from extensive documents while effectively responding to user inquiries. The proposed system is designed to mitigate information overload by employing advanced natural language processing techniques, leveraging technologies such as OpenAI, LangChain, and Streamlit. By integrating these tools, the framework enhances knowledge retrieval, simplifies document comprehension, and improves overall productivity. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 88–93 Read article
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Reimagining Solid Waste Management in India: A case of Circular approach in C&D Waste Management
Abstract: Construction and demolition (C&D) waste, which accounts for an estimated 150–500 MT yearly and about 10–20% of the nation's total municipal solid waste (MSW) generation, is a significant management challenge for India. Accelerated urbanization, population increase, infrastructural expansion, and urban redevelopment initiatives are the main causes of this quickly expanding waste stream. Much of this waste is disposed of through uncontrolled dumping, encroachment on low-lying areas, and overcrowded landfills in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 1–10 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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Advancing Tropical Medicine: Interdisciplinary Approaches, Innovation, and Health System Strengthening
Abstract: Tropical medicine encompasses a diverse range of infectious diseases prevalent in tropical and subtropical regions, presenting complex challenges to global health. This review offers an extensive examination of critical aspects within tropical medicine, emphasizing recent progress and upcoming avenues of research. Interdisciplinary collaboration is highlighted as essential for addressing the multifaceted nature of tropical diseases, with healthcare professionals, veterinarians, ecologists, epidemiologists, and social scientists working together to tackle complex health …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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Mast Cell Activation Disorders: Diagnosis & Management
Abstract: Mast Cell Activation Disorder (MCAD) is a broad umbrella term which includes a heterogenous group of disorders characterized by the inappropriate and excessive release of mediators from mast cells. Mast Cell Activation Syndrome represents a severe and well-defined form within the broader spectrum of Mast Cell Activation Disorders. These disorders are generally divided into clonal and non-clonal categories. Clonal conditions include Systemic Mastocytosis, Cutaneous Mastocytosis, and Monoclonal Mast Cell Activation …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 31–40 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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Integrating Indigenous Knowledge in Land Conservation: A Review of Best Practices
Abstract: Indigenous knowledge systems have long played a crucial role in sustainable land conservation practices. These traditional practices, developed over centuries, offer valuable insights into ecosystem management, biodiversity preservation, and climate resilience. This review article explores best practices in integrating indigenous knowledge with modern conservation efforts, emphasizing the benefits of blending ancestral wisdom with contemporary scientific approaches.By analyzing case studies and theoretical frameworks, this study highlights successful approaches to harmonizing traditional …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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A Review on the Regulatory Study for Implementation of Schedule-M Amendments in Pharmaceutical Industries in India
Abstract: A major regulatory change in pharmaceutical manufacturing industry in India is the introduction of the updated Schedule M (2023–2024). The aims to compliance the country's Good Manufacturing Practices (GMP) with international quality standards. The review evaluates the Schedule M amendments implementation strategies, industrial impact and regulatory relevance. Legislative texts, official notices, WHO GMP reports, ICH guidelines, guidance documents of CDSCO and peer-reviewed literature were all explored as part of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Blockchain Enabled Security Framework: Smart Healthcare
Abstract: To explores the transformative potential of blockchain technology in managing, securing, and ensuring the integrity of Electronic Health Records (EHRs). EHRs, which store vital patient information such as medical histories, diagnoses, prescriptions, and imaging results, are essential for enhancing healthcare delivery. Conventional centralized Electronic Health Record (EHR) systems encounter issues such as susceptibility to single points of failure, security risks, and constraints in maintaining data integrity. By leveraging blockchain’s inherent …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 11–17 Read article