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1698 articles for “behavior”
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Integrated engineering on design, development and operation of a Table Top Tokamak for Plasma experiments
Abstract: Making of a Table Top Tokamak is having the acute need for conducting various plasma experimental studies. As pulsed devices, small tokamaks come as handy solutions for plasma experimentalists to study the characteristic behavior of plasma at various operating conditions. In addition, it is a challenge to build a Tokamak from its conceptual design. In this paper, details are brought out for a single mode approach that is required to …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 54–62 Read article
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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Digital Therapeutics for Management of Chronic Diseases
Abstract: Digital therapeutics (DTx) mark a major advancement in modern medicine, using advanced software technologies to deliver clinically validated treatments for various physical and mental health conditions. Unlike general wellness apps that focus on fitness or lifestyle tracking, DTx are evidence-based medical interventions developed through rigorous clinical research to ensure safety, efficacy, and measurable outcomes. Delivered via digital platforms such as smartphones, tablets, or specialized medical devices, DTx aim to prevent, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Effects of Fiber Hybridization on Tensile, Flexural, and Impact Strength of Hybrid Natural Fiber Epoxy Composites
Abstract: This study investigates the mechanical performance of epoxy composites reinforced with hemp, ramie, and flax fibers and evaluates the effect of fiber hybridization. Single-fiber composites were fabricated using hand lay-up followed by vacuum-bagging consolidation and compared with three hybrid systems: hemp–flax (HF), hemp–ramie (HR), and flax–ramie (FR). Tensile, flexural, and drop-weight impact properties were evaluated using standardized test procedures. Among the single-fiber composites, flax exhibited the highest tensile strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 295–305 Read article
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AI-integrated Responsive Polymer Composites for Controlled Drug Delivery
Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Cognitive Polymer Composite Systems for Autonomous Biomedical Response
Abstract: Cognitive polymer composite systems: A novel form of intelligent biomaterials with the capability to sense, process and respond to real time physiological stimuli on their own. The present paper offers a comprehensive platform to integrate stimulus responsive polymers with intrinsic sensing networks and learning based decision models to offer adaptable bio-medical solutions. Mathematical formulations are available that are used to model stimulus response behavior, sensor signal processing and cognition decision …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Recent Advances in Diabetes Management: A Gendered Approach in North India
Abstract: Background: Diabetes Mellitus remains a major public health issue in India, with disproportionate burdens observed in North India and among women. Objectives: To examine gender and residence-based disparities in glycemic control, medication adherence, and healthcare access among adults with Type 2 Diabetes Mellitus (T2DM) in North India. Page 2 of 7 Methods: A cross-sectional study was conducted among 800 adults with T2DM across five North Indian states. Data on clinical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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Luminescent Phenomena and Materials: Fundamentals, Developments, and Multidisciplinary Applications
Abstract: Luminescence, defined as the emission of light without significant heat generation, represents a fundamental phenomenon bridging physics, chemistry, materials science, and biotechnology. Over the centuries, the understanding of luminescence has evolved from simple observational curiosity to a sophisticated quantum-mechanical framework describing electronic transitions in atoms, molecules, and solids. This review provides a comprehensive overview of the historical development, fundamental mechanisms, classifications, and material systems associated with luminescence. It places particular …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Thermo-Responsive Polymer Blends for Minimally Invasive Medical Procedures
Abstract: Thermo-responsive polymer blends have become a key new class of biomaterials for the minimally invasive medical procedure. They offer precision, flexibility and greater patient safety. These smart materials undergo a change of physical/ mechanical properties relative to temperature difference in the body, limiting tissue trauma and increasing effectiveness of the procedure. Their adjustable sol-gel behavior, shape-memory effects and reversible volume change provides an opportunity for their precise delivery through catheters, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Polypyrrole-Based Conductive Polymer-Gated Single Electron Transistor with Deep Neural Network Assistance for Biomedical Energy Harvesting and Charge Detection
Abstract: The increasing demand for intelligent biomedical monitoring systems has accelerated research into ultra-low-power sensing technologies capable of operating with high sensitivity and minimal energy consumption. Conductive polymers have attracted considerable attention for biomedical and nanoelectronic applications due to their tunable electrical properties, biocompatibility, and environmental stability. Among them, Polypyrrole (PPy) is a promising functional polymer that can enhance charge transport and electrostatic coupling in nanoscale devices. In this work, a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Engineering Polymer-Based Barrier Films for Infection Control in Surgical Environments
Abstract: It is important to keep a sterile surgical area as a measure of infection prevention after an operation. Traditional protective materials tend to not be long-lasting, are not uniformly protective in their behavior, and have just limited biocompatibility. The use of barrier films made of polymer has emerged as a ground breaking solution to the contemporary operating rooms. These movies prevent the entry of microbes, are impervious to moisture, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Advancements in Humanoid Robotics for Intelligent Automation
Abstract: There is a growing trend in the use of humanoid robots as powerful learning tools for experimental and interactive education in contemporary schools and universities. Humanoid robots are more structurally and kinematically similar to humans than ordinary robots, which positively affects the students’ visualization and hands-on practice with robots. This paper considers the motion control design of an educational humanoid robot powered by the Arduino Mega 2560 Pro Mini board. …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 22–30 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Parametric Design and Multi Objective Optimization of a Two-Axle Tipper Trailer Chassis for Enhanced Strength
Abstract: The primary objective of this project is to perform a detailed analysis of the chassis frame by considering variations in cross-sectional geometry as well as material composition. The frame structure includes main longitudinal members supported by a series of cross members, and the study focuses on optimizing both these elements. Material optimization is carried out by introducing composite materials in place of conventional ones, aiming to achieve improved strength-to-weight ratio. …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 16–25 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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Integration of Green-Synthesized Calcium Nanoparticles in Natural Polymer Matrices by Bio-Nanocomposite Approach to Calcium Fortification
Abstract: Calcium deficiency continues to pose a widespread nutritional challenge, particularly in vulnerable populations. In this study, a bio-nanocomposite-based fortification strategy was developed using calcium nanoparticles (CaNPs) synthesized via green chemistry from Sesbania grandiflora (Agathi keerai) leaf extract. The nanoparticles, ranging between 50–150 nm in size, were characterized by SEM and embedded into buckwheat flour a naturally polymer-rich food matrix containing proteins, starch, and dietary fibers. The resulting system mimicked polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhanced Room-Temperature Gas Sensing Performance of 2% Mn-Doped Sri Lankan Natural Graphite Thin-Film Sensors for Ammonia, Acetone, and Ethanol vapors Detection
Abstract: The development of room-temperature gas sensors with high sensitivity, fast response, and low-cost remains a critical challenge for environmental monitoring and safety applications. In this work, we report the fabrication and characterization of a 2% Mn-doped Sri Lankan natural graphite thin-film sensor for the detection of ammonia (NH3), ethanol (C2H5OH), and acetone (C3H6O) vapors under ambient conditions. The sensor was prepared using the doctor-blade coating method on Indium Tin Oxide …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 39–49 Read article