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372 articles for “Extraction process”
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Graphene-Based Electronic Skin for Wearable Health Monitoring and Human–Machine Interaction, Materials, Structures, and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 175–180 Read article
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Studies on CO2 Dissolution in Sodium Silicate for the Precipitation of Silica
Abstract: Rice husk is an agricultural residue abundantly available. Rice husk is a fuel having high ash content; major constituent being silica (90%). Extracting silica from Rice husk ash (RHA) not only adds value but also solves disposal problem of large amount of ash. Conventionally silica is extracted from quartz (silica rock) but this route is expensive and required more energy and RHA is the ultimate choice. Alternately Extraction of silica …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 1, 2014 · pp. 70–75 Read article
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Various Aging Factors and Their Significant Impacts on the Skin
Abstract: As the average lifespan in developed nations rises, proper aged skin care has become a dermatological concern. The complicated, multifaceted process of skin aging has a genetically established baseline pace but can also be sped up by socioeconomic, mechanical, or environmental variables. Skin fragility, skin resiliency, the danger of toxicological injuries, the promotion of the development of different cutaneous illnesses, and aesthetically unfavorable consequences like wrinkles and uneven pigmentation are …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 1–10 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Mapping of Dangerous Glacial Lakes by Using Systematic Extraction Approach in Different Catchments of Upper Indus Basin (UIB) Pakistan
Abstract: The glaciers are nature's most valuable fresh water resource for irrigation, industry, and hydroelectric growth, as well as for the present and future needs of millions of people who live downstream. Numerous of the waterways in the HKH region receive a significant percentage of ice melt water from this solid reservoir. Many of the glaciers which consist of massive amount of permanent snow and ice are found to generate several …
Published in Research & Reviews : Journal of Space Science & Technology Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Study of the Effect of Saline Solution on the Extraction of the Acacia Gum Active Coagulant for Textile Wastewater Treatment
Abstract: The use of synthetic coagulants is not regarded as suitable due to health and economic considerations. A new coagulant obtained through polymerization of acacia gum extract has been characterized in the removal of dangerous dye pollutants. The present study was aimed to investigate the effects of acacia gum as coagulant in treatment of textile wastewater. The coagulant prepared was employed for the removal of sludge at the different doses. The …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 20–24 Read article
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Sustainable Innovations in Home Decor: Exploring Eco-friendly Paint Materials and Recycled Interior Applications
Abstract: This paper delves into sustainable practices in home decorating, particularly focusing on eco-friendly paint products and innovative interior design solutions. It underscores the significance of zero-VOC and low-VOC coatings for indoor air quality and environmental safety, advocating for their use. Natural colors derived from plant extracts, clay, and minerals are highlighted for their biodegradability and availability in earthy tones, emphasizing their contribution to environmental sustainability. Milk-based paints are explored for …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 10–20 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Dye Sensitized Solar Cells Based on Extracted Natural Dyes and Synthetic Dyes with Nanocomposite Material
Abstract: Producing dye sensitised solar cells in their original colours required a number of different techniques. Plants and berries were used to extract these dyes. The DSSCs were manufactured by recycling the old dyes. It was clear that the efficiency of the power conversion was deteriorating. TiO2 mesoporous films' potential applications were also studied. This study employed electrochemical impedance spectroscopy to examine the interactions of natural dyes with TiO2. Bi2O3 nanoparticles …
Published in Journal of Polymer & Composites Read article
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Sentiment Analysis Using Emojis
Abstract: Sentiment analysis is a fast-growing research part in NLP (Natural Language Processing). It is fully focused on categorizing customer’s opinion about a particular product, blogs or comments etc. Public opinion has a significant impact on people's desire to contact with businesses, as well as overall brand perception. According to a Podium research, 93% of buyers believe online reviews affect their shopping decisions. Users may not give you another chance after …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 43–46 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 Read article