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917 articles for “neutral-axis strain gradient”
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Studies on the Antioxidant Content and Antimicrobial Activity of Cucumber (Cucumis sativus) Peels Collected from Bagmari, Kolkata, West Bengal, India
Abstract: Cucumber (Cucumis sativus) is widely consumed across the globe, yet its peels are commonly discarded as waste, despite possessing a wealth of bioactive compounds. Recent studies have highlighted that these peels contain substantial amounts of antioxidants, antibacterial, anti-inflammatory, and anticarcinogenic properties, making them a promising candidate for value-added applications. In this study, methanolic extracts (80% v/v) of cucumber peels were systematically analyzed to assess their total phenolic content (TPC), total …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 · pp. 6–14 Read article
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Superplasticity Behavior of Aluminium Alloys Through FSP: A Review
Abstract: Friction Stir Processing (FSP), an advanced modification of Friction Stir Welding (FSW), has emerged as a highly effective technique for fabricating surface composites with superior mechanical and metallurgical properties. FSP enhances the microstructure and superplastic behavior of materials, particularly aluminium alloys, by subjecting them to high strain rates at relatively low temperatures. This review paper critically examines the development and optimization of FSP for aluminium alloys, emphasizing key factors such …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 65–77 Read article
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Experimental and Numerical Assessment of Flexural Shear Behavior of RC Beams Enhanced using Hybrid CFRP–GFRP U-Wrap System
Abstract: This study examines the Reinforced Concrete beams strengthened in Flexural-shear using a hybrid Fibre Reinforced Polymer (FRP) system that combines carbon fibre reinforced polymer (CFRP) and glass fibre reinforced polymer (GFRP) in a U-wrap configuration. Six beams totally were made and the results were tested under 4 point bending moment using LVDT, in which three beams were of control beams without strengthening and another three externally wrapped using hybrid CFRP-GFRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 328–338 Read article
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Computational Fluid Dynamics and Composite Material Study on Scoop-Type Savonius Turbine for Train-Based Energy Generation
Abstract: This study investigates the feasibility of integrating a scoop-type savonius vertical-axis wind turbine (VAWT) on the rooftop of a moving train to generate renewable onboard power. The motivation stems from increasing demands for sustainable energy solutions and reducing reliance on fossil fuels, particularly in transportation. A two-blade savonius turbine, with dimensions of 0.4 m in diameter and 0.5 m in height, was modeled in PTC Creo Parametric 3.0 and analyzed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 566–580 Read article
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Mechanical Performance and Material Properties of Nsm CFRP Polymer System
Abstract: Near-surface mounting systems are an advanced embedded technique application of CFRP composites in which the efficiency of the structure is mostly dominated by polymer matrix properties and interface stress transfer mechanisms. This review presents a holistic materials-based perspective on the experiment, analytical, and numerical studies conducted on the NSM-CFRP composite system, specifically on the behavior of the epoxy adhesive, interfacial behavior of composite–substrate system, and related structure–property relationships. The literature …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 311–319 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article
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Experimental Analysis of Glass Fiber Composite on Low Velocity Impacts
Abstract: This research specifically deals with determining the retained tensile strength after loading Glass Fiber Reinforced Polymer (GFRP) composites following low-velocity impact. The purpose is to determine the degree to which these impacts affect the structural performance and mechanical integrity of GFRP materials. Experimental tests were conducted on glass fiber composite specimens in order to observe variation in tensile strength upon impact. The results indicated significant tensile strength reduction in impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 789–796 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review
Abstract: The structural analysis and design of multi-story residential buildings have become more complex because cities continue to grow while safety requirements become more demanding and building codes establish stricter requirements. The traditional methods of structural analysis worked through manual execution which required extended periods to complete and suffered from computational errors that primarily affected indeterminate structures and lateral loading conditions. This review paper providesa detailed evaluation of previous works related …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 40–45 Read article
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Valorization of Fruit and Vegetable Wastes for CA Production: A Comprehensive Review with Emphasis on Aspergillus niger Bioprocessing and Future Prospects
Abstract: Citric Acid (CA) is a multifunctional organic acid with diverse industrial applications, recently gaining prominence in polymer and composite science as a green crosslinker, compatibilizer, and functional additive. Conventionally produced through submerged fermentation of refined sugars by Aspergillus niger, industrial CA production faces sustainability challenges due to reliance on food-grade substrates. This review highlights emerging strategies for CA biosynthesis from vegetable and fruit processing residues—including cucumber peels, broccoli stalks, spinach …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 807–822 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Design and Analysis of Quantum Dot Solar Cell Using SCAPS-1D Software
Abstract: Compared to conventional solar cells, quantum dot solar cells (QDSCs) have drawn a lot of attention due to their hybrid structure, low production cost, and greater power conversion efficiency. Nevertheless, carrier recombination in the quasi-neutral region (QNR) continues to limit their performance. The electron transport layer (ETL) and hole transport layer (HTL) are two of the layers that are most important in determining the overall efficiency of the device. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 15–20 Read article
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Postbiotics Unveiled: Mechanistic Insights and Therapeutic Implications in Obesity.
Abstract: The burgeoning global obesity epidemic necessitates innovative therapeutic approaches, and postbiotics, bioactive compounds arising from microbial fermentation, have emerged as promising contenders in reshaping obesity management. This comprehensive review explores the multifaceted mechanisms by which postbiotics impact obesity, from modulating gut microbiota composition to influencing metabolic pathways and enhancing energy expenditure. The exploration of postbiotics is rooted in a deeper understanding of the gut–brain axis and bidirectional communication between gut …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 11–28 Read article
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A Study of the Impact of AI-Powered Recommendation Systems on Consumer Purchase Decisions in the E-Commerce Industry
Abstract: Through personalized suggestions, the e-commerce industry has been affected so much that it has been overtaken by AI-powered recommendation systems. This paper examines the effects of AI-powered recommendations on online shoppers and how they influence product discovery, the engagement level of shoppers, and unplanned purchases. Emerging from the results of a survey of 55 graduates and MBA students, more than 70% of respondents claim that AI has helped them find …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 01–06 Read article
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Effect of Fiber Weight Fraction on the Mechanical Performance of Calotropis Gigantea Fiber-Reinforced Polyester Composites
Abstract: Natural fiber-reinforced composites have attracted more attention as environmentally friendly substitutes to synthetic materials since the move towards a sustainable approach to engineering materials has gained in popularity. This paper focuses on the potential use of Calotropis gigantea (CG) stem fibers as laminate reinforcement with bio-composites made through an unsaturated polyester resin (GP) system. Super strength fibers were pulled out, treated with alkaline to boost interfacial adhesion, and positioned in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 339–349 Read article
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Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
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Recent Progress in Magnesium Hybrid Metal Matrix Composites: Processing, Properties, and Applications
Abstract: Magnesium hybrid composites have emerged as promising materials to meet the growing demands of advanced sectors such as biomedical, aerospace, defense, automotive, electronics, and marine industries. However, the inherent drawbacks of magnesium, specifically low wear resistance, have encouraged scientists to develop magnesium-based MMC with improved mechanical properties and thermal properties. To achieve this, various mixtures of reinforcement are employed. These include ceramics with high strength and wear resistance; solid lubricants …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1287–1301 Read article
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Formulation And Evaluation of Peel Off Mask From Custard Apple
Abstract: Herbal cosmetics have a long history of use aimed at enhancing cosmetic appearance and mitigating skin conditions such as acne, pigmentation, dryness, and wrinkles. These products provide various health benefits, including anti-acne, anti-inflammatory, moisturizing, antioxidant, and anti-aging effects, while also minimizing the risk of adverse reactions. Herbal formulations have gained global popularity and acceptance due to their natural origin, safety, and effectiveness in maintaining skin health. Traditional Indian herbs, like …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 1, 2026 · pp. 6–15 Read article
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Advances In HIV Research: Epidemiology, Pathogenesis, And Emerging Therapeutic Strategies
Abstract: Human Immunodeficiency Virus (HIV) remains a critical global health concern, infecting millions of individuals each year. The introduction of antiretroviral therapy (ART) has markedly improved disease outcomes by suppressing viral replication, restoring immune function, and extending patient longevity. Despite these advances, the complete eradication of HIV is hindered by the persistence of viral reservoirs, the emergence of drug-resistant strains, and disparities in healthcare accessibility. This review summarizes key developments in …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article