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494 articles for “responsive design”
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Effect of Polymer Crosslinking on Drug Release Kinetics
Abstract: In order to improve treatment effectiveness and minimise adverse effects, polymer-based drug delivery systems are often used to produce regulated and sustained drug release. Polymer crosslinking, which alters the structural, mechanical, and degrading characteristics of the polymer matrix, is one of the key elements affecting drug release kinetics. The porosity, swelling behaviour, and rate of degradation of the polymer are all impacted by the crosslinking process, which may be accomplished …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 636–647 Read article
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Development of Bio-Based Smart Textiles with Temperature Adaptive and Self-Cleaning Properties
Abstract: This research explores the development of bio-based smart textiles that integrate both temperature-adaptive and self-cleaning properties, responding to the growing need for sustainable and functional innovations in the textile industry. Unlike conventional fabrics, smart textiles provide multifunctional responses to environmental stimuli such as heat, light, and moisture. The focus of this work is on combining renewable natural fibers, biodegradable polymers, and environmentally friendly additives to design textiles that are not …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 1–7 Read article
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Advances in Polymer Chemistry for Biomedical Applications: A Focus on Wearable Therapeutic Devices
Abstract: Polymer chemistry has significantly contributed to the evolution of biomedical materials, particularly in the development of wearable therapeutic devices. The combination of biocompatible polymers with advanced composite materials has led to the creation of flexible, durable, and patient-friendly medical support systems. These innovations have transformed healthcare by providing non-invasive and comfortable solutions for managing chronic pain and musculoskeletal disorders. Recent advancements in polymer chemistry have focused on three key areas: …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 7–15 Read article
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Influence of Aspect Ratio, Geometric Configration and Continuty on Shear Wall Performance
Abstract: This study investigates the dynamic behavior of shear walls in high-rise buildings, focusing on the impact of varying parameters like aspect ratio, geometry, and continuous-discontinuous structures. By accurately identifying and quantifying various loads and conducting comprehensive structural analysis. The high-rise complex features reinforced concrete shear walls designed to resist lateral forces, ensuring safety and stability.This topic is chosen because the dynamic behavior of shear walls in high-rise buildings is critical …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–40 Read article
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Effect of Carbonyl Iron Particle Concentration on The Printability and Stiffness of Magnetorheological Elastomer Filaments
Abstract: Magnetorheological elastomer (MRE) are increasingly valued for their field-responsive mechanical properties, making them ideal for adaptive components in automotive, aerospace, and vibration control systems. However, conventional mould-based fabrication methods limit design flexibility, produce excess material waste, and are unsuitable for complex or customized geometries caused challenges that have hindered broader industrial adoption. Although 3D printing offers a compelling alternative, research on printable MRE filaments remains limited, particularly regarding how carbonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 310–317 Read article
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Advancements in Energy-Efficient Electrical Motor Design: A Comprehensive Review
Abstract: The rapid growth in energy demand poses a fundamental challenge for the whole power industry in fulfilling the increased demand. An exhaustive energy audit recommends substituting energy-efficient gadgets with conventional ones, which function with low efficiency and waste a significant amount of electricity. Electric motors are quite common in contemporary life, providing energy to a wide range of devices, including both domestic and industrial machinery. Nevertheless, they bear the responsibility …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 1, 2023 · pp. 29–35 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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pH-Triggered In-Situ Nasal Gel Systems for Migraine Therapy: A Review
Abstract: Intranasal drug delivery has gained considerable attention as a non-invasive route for delivering drugs to both systemic circulation and the central nervous system, particularly for the treatment of migraine. Traditional nasal formulations such as sprays and drops often show poor therapeutic performance due to rapid mucociliary clearance and limited retention within the nasal cavity. To overcome these challenges, in-situ gel systems have been designed, which transform from a liquid to …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Ethical Considerations in AI-Driven Rehabilitation Robotics: Balancing Innovation and Responsibility
Abstract: Artificial intelligence (AI) is transforming robotics rehabilitation by introducing advanced capabilities such as adaptive therapy, real-time feedback, and personalized assistance, significantly improving outcomes for individuals with neurological and physical impairments. These AI-powered systems offer high levels of precision and consistency in therapy delivery, making them especially beneficial in pediatric and adult rehabilitation settings where engagement and tailored interventions are crucial. However, the integration of AI in healthcare also presents critical …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 24–29 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Static and Dynamic Analysis of Conventional, Diagrid and Hexagrid Systems Across Different Storey Heights
Abstract: In structural engineering, multi-storey buildings’ seismic resilience in earthquake-prone areas is crucial. The seismic performance of proposed multi-story buildings with different heights (G+13, G+19, and G+27) is thoroughly examined in this study using traditional structural systems that are octagrid and hexagrid. Under seismic zone III conditions, the study evaluates important parameters such as storey drifts and storey displacements using the Response Spectrum Method. Each structural system's seismic response is assessed …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 36–47 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Basalt Fiber, Palm Fiber, and Seashell Powder Reinforced Hybrid Epoxy Composites: A Mechanical Characterization
Abstract: This study investigates epoxy-based composites reinforced with basalt fiber, palm fiber, and seashell powder fabricated via hand lay-up. Mechanical characterization included tensile, flexural, hardness, and impact testing, supported by ANOVA and TOPSIS analyses. The Basalt-Epoxy composite has the highest mechanical strength among the systems under investigation, with a tensile strength of 275 N/mm² and a yield stress of around 215 N/mm². Compared to Palm-Epoxy composite, which has the lowest mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1565–1575 Read article
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A Review on Tailor Craft E-Commerce: Design, Implementation and Evaluation
Abstract: The rapid growth of e-commerce has transformed how consumers purchase products and interact with businesses. In particular, the clothing and fashion industry has embraced digital platforms to extend its reach, improve accessibility, and offer convenience to customers. However, challenges such as unclear product information, insecure payment methods, poor user experience, and inefficient order tracking still limit customer satisfaction in many platforms. The Tailor Craft E-Commerce project aims to bridge these …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Enhancing Energy Efficiency of Residential Buildings by Using Phase Change Biomaterials for Adaptive Thermal Envelopes
Abstract: Phase change biomaterials represent a cutting-edge solution in sustainable building design, offering a dynamic approach to thermal regulation. Derived from natural sources such as plant oils and waxes, these materials undergo reversible phase transitions, transitioning between solid and liquid states in response to changes in temperature. This unique property enables phase change biomaterials to store and release thermal energy effectively, making them highly valuable for enhancing energy efficiency and thermal …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 17–25 Read article
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Self-Healing Polymer Nanocomposites: A Comprehensive Review of Design Strategies, Mechanisms, and Emerging Applications
Abstract: Self-healing polymer nanocomposites (SHPNs) are a new class of materials that can autonomously repair themselves to prolong their lifetime and improve their application performance. Herein, we provide a comprehensive overview of the design strategies, healing mechanisms, and emerging applications of SHPNs. Incorporating nanofillers (nanoparticles, nanofibers, and/or nanotubes) into polymer matrices leads to requisite functionalization that significantly enhances mechanical properties and is essential in self-healable products including improved cross-linking, high dispersion, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 281–293 Read article
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Olfactory Intelligence in Bio-Hybrid UAVs: Integrating Living Lepidoptera Sensors for High-Precision Environmental Monitoring
Abstract: Autonomous aerial systems still face major challenges when attempting to locate airborne volatile organic compounds because many conventional gas sensors react slowly and cannot reliably follow turbulent chemical plumes. To address this limitation, a bio-hybrid sensing approach was explored using the antenna of the silkworm moth, Bombyx mori, as a natural chemical detector. The antenna was connected to an Electroantennogram (EAG) system that converts biological nerve signals into digital signals …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Brain And Gesture Controlled Assistive System For Physically Challenged Individuals
Abstract: Assistive communication technologies are essential for improving the independence of individuals with physical and sensory disabilities. This paper presents the design and implementation of a multimodal assistive system that integrates brain signal acquisition and gesture recognition for real- time communication. The system utilizes an Electroencephalography (EEG) sensor to capture neural activity and a PAJ7620 gesture sensor along with an ADXL335 accelerometer to detect hand movements. The acquired signals are processed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article