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1065 articles for “Web2.0”
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Development of Biodegradable Poly (Lactic-Co-Glycolic Acid) (PLGA) Nanoparticles for Sustained Release of Insulin
Abstract: This research outlines the creation of biodegradable composite nanoparticles made from poly (lactic-co-glycolic acid) (PLGA) designed for the sustained release of insulin. The emphasis is on the interactions between the polymer and the drug at the interface, along with the dynamics of the release matrix. The in vitro release kinetics, surface morphology, encapsulation efficiency, particle size, and polydispersity of insulin-loaded PLGA nanoparticles were analyzed following their production via a double …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1690–1699 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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Evaluation of Mucoadhesive Polymers for Nasal Delivery of Herbal Bioactives
Abstract: A study assessed mucoadhesive polymers for intranasal herbal bioactive administration with higher residence time and mucosal permeability. Chitosan, Carbopol® 934P, and HPMC K15M were utilized to manufacture mucoadhesive nasal gels with standardized herbal bioactive fractions. Formulations were examined for pH, viscosity, spreadability, drug content, mucoadhesive strength, in-vitro release, ex-vivo penetration, and short-term stability. All formulations demonstrated a suitable pH for nasal usage and uniform drug content (97.48 ± 1.12% to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1680–1689 Read article
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On the link of global warming and cloudiness in mid hills of Himachal Himalayas, India
Abstract: The present study investigated the monthly, seasonal, and annual cloud cover variability over two stations in the mid hills sub-temperate subhumid zone of Himachal Pradesh, by using Pearson’s correlation coefficient, Mann-Kendall (MK), and Sen’s slope estimator test. Daily data on cloud cover, sunshine hours, maximum and minimum temperature, morning and evening relative humidity, evaporation and rainfall for the period of 22 years (2001–2022) were used in the investigation. In the …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 39–49 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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Interfacial Engineering of Carbon Fiber/Epoxy Laminates Using Functionalized Graphene Nanoplatelets: Experimental and Numerical Study
Abstract: Current research work studies the influence of amines(–NH₂) and carboxyl(–COOH) functionalized graphene nanoplatelets on the mechanical and thermomechanical behavior of unidirectional hybrid composite. Composites having different graphene concentration from 0 to 0.7 wt% were fabricated, characterized and analyzed for multiple testing - tensile testing, dynamic mechanical analysis (DMA) and Fourier transform infrared spectroscopy (FTIR). Tensile testing indicates better elastic modulus and tensile strength due to efficient load transfer between nanoparticles …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 61–77 Read article
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AI-Integrated Graphene-Modified Polymer Interfaces for Real-Time Crack Detection and Autonomous Healing in Smart Concrete Structures
Abstract: This study presents the design and development of a graphene-reinforced multifunctional polymer composite interface engineered for structural reinforcement, self-sensing, and autonomous healing applications in cementitious systems. A thermosetting polymer matrix embedded with graphene nanoplatelets (0.25–1.5 wt.%) was developed to establish a conductive polymer nano-composite network. Electrical characterization confirmed a distinct percolation threshold at ~0.6–0.8 wt.%, beyond which a sharp increase in conductivity was observed due to the formation of interconnected …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 30–42 Read article
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Polymeric Micelles for Medicinal Plant Solubilization and Delivery of Bioactive Compounds
Abstract: This study involved the design, fabrication, and characterization of polymeric micellar nanocomposites utilizing amphiphilic block copolymers to effectively encapsulate and transport hydrophobic phytoconstituents. The selected bioactive molecule is curcumin, a polyphenol with limited water solubility. A polymeric system known as PEG-PCL was utilized to fabricate core-shell nanostructures by a solvent evaporation-induced self-assembly method. The resulting nanocomposites exhibited homogeneity and colloidal stability, characterized by a zeta potential of −18.7 ± 1.4 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 208–219 Read article
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Polymer Composite-Supported Jackfruit Peel Adsorbent for Enhanced Copper (II) Removal from Wastewater: Batch Equilibrium and Isotherm Analysis
Abstract: The increasing concern of disposal of copper-containing effluents into the environment has led to heightened interest in designing cost-effective, eco-friendly and scalable adsorbent systems. Traditional metals and synthetically engineered sorbents prove to be effective; however, these systems are energy intensive. Agricultural residues entrapped in polymer composite systems constitute an economically feasible solution to this environmental challenge. This work reports on the design, characterization and performance evaluation of an economical adsorbent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 375–390 Read article
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A Study to Assess the Risk Factors and Symptoms of Dialysis Disequilibrium Syndrome among Patients Undergoing Hemodialysis
Abstract: Dialysis Disequilibrium Syndrome (DDS) is a rare but potentially life-threatening neurological complication associated with hemodialysis, particularly during initiation or in high-risk patients. It is characterized by a spectrum of neurological manifestations ranging from mild symptoms such as headache and nausea to severe outcomes including seizures, coma, and death. Early identification of risk factors and prompt recognition of symptoms are crucial to prevent morbidity and mortality. The present study aimed to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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Regional Variation in Amino Acid Composition, Antioxidant and Antimicrobial Activity of Tasar Sericin from North and South Bihar
Abstract: This study investigates geographical differences in biochemical and functional characteristics of sericin obtained from Antheraea mylitta cocoons sourced from two regions of Bihar, India: Bhagalpur (North) and Banka (South). Sericin was isolated via an alkali-assisted autoclaving process. Amino acid profiles were determined using HPLC. Free radical scavenging capacity was measured through DPPH, ABTS, and hydrogen peroxide assays. Antibacterial and antifungal effects were tested against Staphylococcus aureus, Escherichia coli, and Candida …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Design and Performance Analysis of Natural Rubber–Silica Nanocomposite Vibration Isolators for Household Appliances
Abstract: Natural rubber (NR) nanocomposites reinforced with surface-modified precipitated silica (SiO2) were synthesized through a two-roll mill compounding and compression-moulding process, then systematically evaluated as passive vibration isolator materials for domestic washing machine applications. Five silica loadings 0, 5, 10, 15, and 20 phr were investigated. A comprehensive characterization suite encompassing tensile testing, Shore A hardness, dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA), and scanning electron microscopy (SEM) revealed clear structure–property …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 554–560 Read article
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Design and Evaluation of Thermo-Responsive Poly(N-isopropylacrylamide)-Based Polymeric Nanoparticles for Temperature-Triggered Intratumoral Release of Doxorubicin in Solid Tumors
Abstract: Thermo-responsive polymeric systems have emerged as promising platforms for targeted intratumoral drug delivery in cancer therapy. This study aimed to develop and evaluate poly(N-isopropylacrylamide) (PNIPAM)-based polymeric nanoparticles as intelligent carriers for temperature-responsive delivery of doxorubicin (DOX) to solid tumors. Nanoparticles were synthesized via free radical polymerization using N-isopropylacrylamide as a thermoresponsive monomer and N,N′-methylenebisacrylamide as a crosslinker, forming a stable network with a tunable lower critical solution temperature (LCST).The optimized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 159–168 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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A Descriptive Cross-Sectional Study to Assess the Knowledge and Practice of Antenatal Mothers Regarding Maternal Diet Including Macronutrients and Micronutrients in Selected Hospitals of Indore (M.P.) in the Year 2022–2023
Abstract: A balanced and adequate diet is most important during pregnancy to meet the mother's increased needs and prevent nutritional stress. Maternal nutrition during pregnancy plays a crucial role in lowering both maternal and infant mortality rates. This study aimed to evaluate the level of knowledge and the dietary practices of antenatal mothers concerning maternal nutrition, including both macronutrients and micronutrients. A descriptive cross-sectional research design was used, involving 100 pregnant …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 41–46 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Design, Mathematical Modeling, and Dynamic Optimization of a Speed Breaker-Based Vehicular Kinetic Energy Harvester
Abstract: Decentralized energy harvesting methods are becoming more popular due to rapid urbanization and the rising need for sustainable infrastructure. The road-embedded vehicle kinetic energy harvester (VKEH) design, mathematical modelling, and experimental validation are presented in this work. This paper presents the structural engineering, continuum mathematical modeling, and experimental validation of an optimized road-embedded vehicular kinetic energy harvester (VKEH). The mechanism utilizes a spring- loaded, low-friction rack-and-pinion transmission coupled with a …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article