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271 articles for “overall assessment”
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Encapsulation of Karela Extract in Polymer Nanoparticles
Abstract: Karela (Momordica charantia) fruit extract possesses promising antibacterial properties. However, its direct application can be limited by factors like degradation and uncontrolled release. This study explores the encapsulation of Karela extract within biocompatible and biodegradable polymeric nanoparticles as a potential strategy to enhance its efficacy. The research investigates the development of nanoparticle systems using various polymers and their impact on the stability, controlled release, and antibacterial activity of the encapsulated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 864–867 Read article
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Investigation and Optimization of Resistance Spot Welding Parameters for Stainless Steel
Abstract: The present work examines the significant impact of resistance spot welding (RSW) process parameters on the properties and efficacy of connections created in sheets of 316L stainless steel. This study examines the intricate relationship between welding parameters, investigating their influence on the microstructure, mechanical characteristics, and overall efficacy of welded connections. By employing a methodical experimental methodology, this study thoroughly investigates the impact of different factors in resistance spot welding …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 15–21 Read article
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Drone Swarms: An overview and working in network control systems
Abstract: The review of multi-agent systems, including drone swarms, has gained momentum due to their ability to exhibit cooperative behavior. Automating the control of a drone swarm poses substantial challenges due to the diverse wireless, networking, and environmental constraints each drone faces. To address these challenges, we treat drone swarms as Networked Control Systems (NCS), integrating the overall system control within a wireless communication network. This approach relies on a strong …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 13–35 Read article
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Effect of Mindfulness-Based Yoga Practices on Anxiety and Attention Level Among High School Children in a Selected High School, Bhubaneswar, Odisha
Abstract: Background: In a world filled with endless pressures and expectation, school-aged children often find themselves navigating through a labyrinth of stressors and anxiety. from the moment they wake up their tiny minds are bombarded with worries about exams, social interaction.it is in these moments of chose that the ancient practice of yoga emerges as a gentle beacon of hope, offering solace and tranquility to these young souls. The study main …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Nature-Integrated Day-Care Spaces: Fostering Early Childhood Growth in Lucknow
Abstract: The physical environment plays a vital role in shaping early childhood experiences, influencing cognitive, emotional, and social development. However, in rapidly urbanizing cities such as Lucknow, children’s exposure to natural environments has become increasingly limited, with most day-care centers confined within enclosed, concrete settings. This study investigates how the integration of natural elements within day-care interiors and outdoor spaces can foster holistic child development and enhance learning outcomes. Emphasizing the …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 7–18 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Evaluating The Durability and Environmental Sustainability of Hybrid Natural - Synthetic Fiber Composites
Abstract: This study examines the characteristics of hybrid composites composed of natural fibers (such as jute, hemp, or kenaf) and synthetic fibers (such as glass or carbon) integrated within polymer matrices. The hybridization method seeks to enhance the advantages of both fiber types, hence augmenting overall performance relative to single-reinforced composites. Mechanical properties like tensile strength, flexural strength, impact resistance and hardness were evaluated through experimental tests. The results demonstrate that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 93–102 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Experimental Study on Load Transfer Mechanism in Columns Retrofitted by Bonding Precast Segments and FRP Wrapping
Abstract: An experimental study was conducted to investigate the load transfer mechanism in columns retrofitted with precast segments and Fiber-Reinforced Polymer (FRP) wrapping. As the demand for structural retrofitting grows, it becomes crucial to comprehend the behavior and effectiveness of retrofit techniques to ensure the safety and integrity of existing infrastructure. The study involved subjecting a series of column specimens to axial compression loads in order to evaluate the load transfer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 153–165 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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A Study of Passenger Satisfaction on Public Transport in Gudalur Town
Abstract: This study aims to explore the factors influencing passenger satisfaction with the public transportation system in Gudalur Town, located in the Nilgiris district of Tamil Nadu. Public transportation is a critical service for the town's residents, providing mobility for daily commutes, education, and access to essential services. The study employs a combination of surveys and interviews to assess commuter satisfaction across several key dimensions, including service reliability, affordability, comfort, safety, …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–21 Read article
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Quality Dimensions of Open Access E-Journals in Library and Information Science: An Analytical Study
Abstract: The rapid growth of open access e-journals in Library and Information Science marks a significant transformation today. Open access journals provide unrestricted access to peer-reviewed research, enabling LIS professionals, researchers, and students worldwide to access required knowledge without subscription barriers. This study focuses on evaluating open access (OA) e-journals in Library and Information Science (LIS), with particular attention to their accessibility, quality, and scholarly impact. The main objectives of the …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 52–68 Read article
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Assessing Supportive Care Needs Among Breast Cancer Survivors: A Cross-Sectional Study
Abstract: Breast cancer poses a significant global health challenge and ranks among the primary causes of cancer-related morbidity and mortality worldwide. The objective of this study was to evaluate the supportive care needs of survivors of breast cancer and examine how these needs are related to various background factors. To accomplish this, a cross-sectional study was carried out with 116 breast cancer survivors, selected using a convenient sampling method. Data were …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 39–42 Read article
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Marine Algal Microfiber and Agro-Waste Reinforced Crosslinked Polymer Composites for Sustainable Coastal Materials
Abstract: Crosslinked bio-polymer composites reinforced with marine algal microfibers and agro-waste fillers were fabricated and systematically characterized for sustainable coastal applications. Mechanical testing revealed that tensile strength increased from 18.5 MPa for neat polymer to 25.1 MPa at 20 wt.% reinforcement (~35% improvement), while the flexural modulus improved from 0.72 GPa to 1.02 GPa (~42% increase). Impact strength, however, decreased from 3.8 kJ/m² for neat polymer to 2.9 kJ/m² at 30 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 210–223 Read article
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An Analysis of Open-Access E-Journals in Library and Information Science
Abstract: The growth of open-access e-journals in the field of Library and Information Science represents a transformative shift today. Open-access journals provide unrestricted access to peer-reviewed research, enabling Library and Information Science (LIS) professionals, researchers, and students worldwide to access required knowledge without subscription barriers. This study evaluates open-access (OA) e-journals in the field of LIS, assessing their accessibility, quality, and impact. Objectives: The main objectives of the study are to …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 39–56 Read article
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Synthesis and Characterization of pH-Sensitive Poly (N-isopropylacrylamide-co-acrylic Acid) Hydrogels for Controlled Release of Doxorubicin
Abstract: pH-responsive polymeric hydrogels have attracted significant attention as intelligent biomaterials for site-specific and controlled drug delivery in cancer therapy due to their ability to respond to the acidic tumor microenvironment. In the present study, poly (N-isopropylacrylamide-co-acrylic acid) [P(NIPAM-co-AAc)] hydrogels were synthesized via free radical copolymerization and systematically characterized to evaluate their suitability for controlled delivery of doxorubicin, a widely used chemotherapeutic agent. The copolymer hydrogels were prepared using N-isopropylacrylamide and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 449–458 Read article
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Interplay of Thyroid Dynamics in Type 2 Diabetes: A Comprehensive Analytical Study at Government Medical College, Kota, and Affiliated Hospitals
Abstract: Diabetes mellitus is a prevalent endocrine metabolic condition that causes significant morbidity and mortality globally. Innumerable metabolic processes within our bodies depend on thyroid hormones. Excess or deficiency in insulin or thyroid hormones might cause functional problems. The intricate relationship between thyroid disorders and diabetes has been recognized for a considerable period. Patients with diabetes have been known to experience thyroid malfunction, the most prevalent kind of which is hypothyroidism. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 6–11 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article