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1850 articles for “extractant”
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Intelligent Polymer-Integrated Wearable Platforms for Sustainable IoT and Predictive Health Monitoring for Migraine Detection
Abstract: Migraine is a neurological disorder, and its effect on the global workforce is resultantly significant. However, the fact of the matter is the absence of notable technological breakthroughs and the fact that the technology presently available is reactive, meaning it tackles the symptoms of the attack after the attack has occurred. The requirement for this paper is, therefore, the provision of an innovative approach, and this paper will describe the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 946–960 Read article
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Synergistic Effect of Green Nanofillers on Basalt–Kenaf Reinforced Sustainable Polymer Composites
Abstract: This study examines the synergistic impact of green nanofillers on the mechanical and structural properties of basalt–kenaf fiber reinforced polyester composites, with the objective of developing sustainable, high-performance polymer materials. The composites were produced with different fiber ratios: B1 (70% basalt, 30% kenaf), B2 (60% basalt, 40% kenaf), and B3 (50% basalt, 50% kenaf), and were reinforced with 1 wt.% green-synthesized nano-TiO2, obtained using an eco-friendly sol–gel technique with plant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1248–1262 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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Biopolymer-Based Flocculation for Microplastic Removal: Fenugreek and Okra as Sustainable Alternatives to Synthetic Flocculants
Abstract: Microplastic pollution has emerged as a persistent global environmental concern due to its widespread presence in aquatic ecosystems and potential implications for food chains and human health. Conventional removal approaches, particularly the use of synthetic flocculants such as polyacrylamide (PAM), have demonstrated high removal efficiencies in water treatment applications. However, their use is often associated with environmental concerns including toxicity, non-biodegradable residues, and energy-intensive production processes. In this context, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1119–1128 Read article
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A Systematic Review on Factors Contributing to Infertility
Abstract: Infertility is a multifactorial reproductive health condition affecting approximately 10–15% of couples worldwide and continues to represent a major clinical and social challenge. Despite substantial advances in assisted reproductive technologies, diagnostic methods, and therapeutic interventions, many couples still face difficulties in achieving pregnancy. The impact of infertility extends beyond physical health, often leading to emotional distress, social pressure, and financial burdens, especially in societies where parenthood is highly valued. Consequently, …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 31–35 Read article
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Lightweight Models for Per-PC Energy Consumption Forecasting: Comparative Study with ML and DL Approaches
Abstract: We have collected primary data from automated logging of parameters like CPU utilization, estimated power, active or idle state, user logging activity, and the type of day. Additionally, survey data showed user awareness, energy-saving behaviour, and PC usage patterns. The data is pre-processed and merged by applying processes such as data cleaning, normalization, and feature extraction, i.e., determining the peak active timings and downtime. Developed lightweight prediction models based on …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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Polymer-Based Chemistry of Carbohydrate-Derived Fulvic Acid and Its Comparative Effect with Chelating Agents on Root Dentin Microhardness
Abstract: The interaction between the polymer science and the endodontic biomaterials field has increased recently while considering the search for chelating agents. CHD-FA (Carbohydrate-Derived Fulvic Acid), a naturally occurring low-molecular-weight polymeric organic acid, has potential chelating and antimicrobial and antioxidant activities. This investigation examines the polymeric chemistry of CHD-FA and compares the effect of CHD-FA with other chelating agents, ethylenediaminetetraacetic acid (EDTA), and citric acid, on root dentin microhardness. A total …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1051–1061 Read article
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Emerging Trends in Horticultural Crops: Role of Date Fruit in Promoting Urinary and Kidney Health
Abstract: Dates, or Phoenix dactylifera L., have been widely consumed in different cultures, both as a food source and for their health benefits. Whereas dates have been reported extensively to improve cardiovascular, gastrointestinal, and metabolic function, their role in urinary tract and renal health has received lesser attention in mainstream nutritional sciences. This review systematically evaluates and synthesizes the current literature on the potential effects of dates to promote urinary health …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 24–32 Read article
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Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 55–65 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 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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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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Non-Contact Quantification of Swelling-Induced Deformation in Polymer Hydrogels Using Image Analysis
Abstract: Swelling of polymer hydrogels governs transport, mechanics, and functional performance in biomedical systems, yet it is often reported using bulk ratios that conceal spatially heterogeneous deformation and boundary-driven instabilities. This study presents a non-contact image-analysis framework to quantify swelling-induced deformation by tracking shape and boundary evolution from time-lapse imaging. The approach segments the hydrogel region, extracts a sub-pixel refined contour, and computes boundary displacement descriptors including mean and upper-percentile normal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1499–1509 Read article
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Comprehensive Evaluation of Quercetin from Bauhinia purpurea for Its Anti-Acne and Anti-Inflammatory Potential, Including Advances in Quercetin-Loaded Nanogel Formulation
Abstract: Acne vulgaris is among the most prevalent chronic inflammatory dermatoses in clinical dermatology, afflicting a substantial proportion of the global adolescent and adult population. Conventional pharmacotherapies — including topical retinoids, benzoyl peroxide, and systemic antibiotics — remain the therapeutic mainstay; however, their long-term utility is progressively undermined by adverse cutaneous reactions, systemic toxicity, and the rising prevalence of antibiotic-resistant Cutibacterium acnes strains. These limitations have intensified scientific interest in plant-derived …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 · pp. 34–46 Read article
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ANN-Based Adaptive Rotor Current Control for DFIG Wind Systems: A Comparative Dynamic Analysis
Abstract: The variability of rotor current management in Doubly Fed Induction Generator (DFIG)-based wind energy conversion systems is crucial for maintaining stability in power extraction under fluctuating wind and grid circumstances. Traditional proportional-integral (PI) controllers, despite their ease of use, frequently exhibit diminished performance when faced with parameter uncertainty, nonlinear behaviors, and rapid wind fluctuations.This paper presents an adaptive rotor current control strategy, which is an Artificial Neural Network (ANN)-based approach …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 41–53 Read article
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Development and Comparative Study of Aluminium- Copper Metal Based Composite Through Different Routes
Abstract: The aim of this study is to develop aluminium-copper composite through powder metallurgy technique. Powder metallurgy is an art or technology which can produce exact dimension of final roducts utilizing less energy. Copper oxide (CuO) was used as the source of copper, which was extracted through a reduction process using dextrose. The reaction was thoroughly examined and reported. Commercially available aluminium powder served as source of the aluminium. Aluminium- copper …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 19–32 Read article
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Image-Based Quantitative Mapping of Structure Property Relationships in Polymer Composite Materials
Abstract: The performance of polymer composite materials is intrinsically governed by their microstructural architecture, which is shaped by manufacturing conditions and constituent interactions. Despite extensive experimental characterization efforts, establishing transparent and quantitative structure–property relationships from microstructural images remains a challenge. In this study, an explainable image-driven framework is developed to systematically correlate microstructural features with composite property indicators. Microstructure images are processed to identify voids, fibers, and filler phases, from which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 188–196 Read article
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Image-Based Evaluation of Implant Tissue Interface Integrity in Polymer Orthopaedic Devices
Abstract: Polymer orthopedic implants offer radiolucency and mechanical compatibility with bone, but long-term success depends on maintaining a stable implant–tissue interface. Routine imaging is widely available for follow-up, yet interface integrity is commonly judged qualitatively, limiting early detection of fixation compromise and reducing comparability across devices and time points. This work presents an image-based methodology to quantify interface integrity by extracting interpretable interface descriptors from a standardized interface belt around the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 170–179 Read article
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Valorization of Human and Cattle Dental Waste into Functional Composite Biomaterials: A Detailed Comparative Analysis
Abstract: This study investigates the conversion of human and cattle (goat and cow) teeth into bioactive hydroxyapatite-based composites and presents a detailed comparative evaluation of these biogenic materials with laboratory-synthesised (synthetic) hydroxyapatite (HAp). In this work, hydroxyapatite was extracted from human and bovine teeth through controlled calcination and milling, while synthetic HAp was prepared using a standard wet chemical precipitation route. All materials were subsequently sintered at 900 °C and fabricated …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 340–354 Read article