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58 articles for “Self-reinforced”
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Polymers and others Advance Materials: A State-of-the-Art Review
Abstract: Developing emerging technologies requires pushing the boundaries of material science. Right now, conventional neat polymers simply do not last long enough in the field. They suffer from sudden mechanical failure, struggle with thermal instability, and throwaway disposal methods have created a massive environmental crisis. To tackle these exact issues, this review provides a critical evaluation of two rapidly growing solutions: sustainable bio-composites and self-healing polymer systems. Rather than offering a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 108–119 Read article
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Effect of Steel Fibre on the Flexural Strength of Self- Compacting Concrete
Abstract: With the increase in demand in the construction industry Self-Compacting Concrete is becoming more popular due to its versatile nature of improved efficiency. But the SCC possesses some properties which makes it brittle under tensile forces. The behavior of SCC as a structural material can be improved with the addition of Steel Fibres in adequate amount. In fact, the fibre reinforcement mechanism can convert the brittle behavior of concrete into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 230–239 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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An Overview of Intelligent Operating Systems (iOS)
Abstract: The rapid convergence of artificial-intelligence techniques with core operating system services is ushering in a new class of platforms—intelligent operating systems (iOS)—that can anticipate, adapt, and optimize on behalf of both applications and users. This paper surveys the architectural shifts required to embed learning, reasoning, and self-healing capabilities into the kernel, scheduler, memory manager, and I/O subsystems. We present a prototype framework, NeuroKernel, that augments traditional OS primitives with three …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 21–28 Read article
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An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing
Abstract: The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 36–41 Read article
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Enhancement of Cable Profile and Deck Arrangement in Cable Stayed Bridge A Review
Abstract: Cable-stayed bridges are usually self-anchored structures and therefore offer a good solution at locations where the soil conditions are not good and as a consequence the cost of the foundations for an earth-anchored structure like a typical suspension bridge would become excessive. To overcome these problems, it is necessary to find a new type of material in lieu of steel. Fiber reinforced polymer (FRP) has many excellent properties, such as …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 2, 2019 · pp. 21–26 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
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Comprehensive Review of Composite Materials: Classification, Manufacturing Methods, Mechanical Behavior, Failure Modes, and Emerging Applications
Abstract: Composite materials have emerged as one of the most significant classes of engineered materials due to their ability to deliver high strength to weight ratios, enhanced durability, and tailored multifunctionality. Over the past two decades, rapid progress in polymer chemistry, advanced reinforcement architectures, additive manufacturing, and automated fabrication has expanded the applicability of composites across aerospace, automotive, biomedical, civil, and renewable energy sectors. This paper provides a comprehensive review of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 923–939 Read article
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A STUDY OF INDIAN FEMALE SUBSTANCE ABUSERS IN TREATMENT DEMOGRAPHIC AND PSYCHOMETRIC VARIABLES
Abstract: THE ADDICTIVE PROCESSThe drug epidemic is several decades old in India. It has moved from culturally accepted recreational phenomena towards the newer drug use of Heroin, ocaine and other designer drugs. Routes of administration have shifted from oral intake and inhalation to chasing and injecting drug use. While this, in a way, represents man’s hedonistic nature, it is also a symptom of the inherent dysfunction in society and its social …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 2, 2017 · pp. 1–9 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Advancements in Reinforcement Learning: A Comprehensive Analysis of Algorithms, Applications, and Future Directions in Artificial Intelligence
Abstract: This work provides an overview of Reinforcement Learning (RL), an important field of artificial intelligence (AI) aims to provide the long-term benefits by learning a relating with a given environment. It spells out everything, what agents and environments do, to how rewards, states, and behaviours. It spent lot of time on looking the most usable RL algorithms, like DQN, SARSA, and Q-Learning. These studies provide a clear view of RL. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 17–22 Read article
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Polymers and Composites in the Design and Construction of Unmanned Aerial Vehicles: A Comprehensive Technical Review
Abstract: The emergence of Unmanned Aerial Vehicles (UAVs) over the last few years has mostly been made possible by breakthroughs in material science. This review is concerned with an overview of some of the polymers and composites that are being commonly used in drone manufacturing in recent times, especially in relation to the influence of material choice on drone performance and capability. It sheds light on the drastic change in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 874–882 Read article
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Polymer Nanocomposites at the Nanoscale: A Comprehensive Review with Reference to Indian Regulations
Abstract: By combining nanoscale reinforcements with polymer matrices, polymer nanocomposites have become one of the most promising classes of advanced materials with superior mechanical, thermal, electrical, barrier and multifunctional properties. This extensive review critically analyses the scientific advances made in polymer nanocomposites between 2000 and 2026, with focus on recent advances in polymer nanocomposite development, processing techniques, structure–property relationships and new applications. The review covers the impact of the nanofillers which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 115–129 Read article
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Challenges of E-learning for Learners
Abstract: E-learning, the use of digital technologies for education, has become increasingly popular in recent years. However, learners face several challenges in this mode of learning. This abstract explores some of the key challenges faced by learners in e-learning environments. E-learning environments often lack the interpersonal engagement found in traditional classrooms, such as collaborative discussions, peer support, and networking opportunities, which can result in feelings of isolation and reduced motivation. Success …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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The Effectiveness of Structured Teaching Programme on Role of Iodine in Prevention of Iodine Deficiency Disorders among Women in Selected Urban Areas of Tirupati
Abstract: Background of the Study: Iodine deficiency disorders are emerging as a public health problem, especially in pregnant and breastfeeding women, in whom it can cause brain damage in the developing fetus or infant. Iodine deficiency gives rise to goiter (so called endemic goiter) in adults as well as cretinism in children, which results in developmental delay and other health problems. According to WHO, nearly 2 billion individuals had insufficient iodine …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 1, 2018 · pp. 29–38 Read article
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Impact of Social Media and Online Influencers on Parents’ Pediatric Dental Decisions: A Cross-Sectional Study
Abstract: Background: Social media has become a key source of health information for parents, but its role in shaping pediatric dental treatment decisions is poorly understood. Aim: To evaluate the influence of social media and online influencers on parents’ decisions regarding pediatric dental treatments. Methods: A cross-sectional survey was conducted among 240 parents of children aged 3–14 years in Kanpur, India. A total of 228 complete questionnaires were included for final …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 · pp. 1–6 Read article
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Comparative Review of Innovations in Self-Compacting Concrete (SCC) Technologies
Abstract: Self-compacting concrete (SCC) is a revolutionary material in contemporary construction, with better workability and lower labor requirements without any sacrifice in strength or durability. The latest advances have been in terms of furthering its environmental and performance attributes by using different materials and methods. One of them is substituting ordinary Portland cement with high-volume fly ash and calcined calcium carbonate (BCC), cutting CO₂ emissions by as much as possible while …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 99–103 Read article