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256 articles for “extraction method”
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Biomedical Applications of Green-Synthesized Cobalt Oxide Nanoparticles
Abstract: The biomedical potential of cobalt oxide nanoparticles (Co3O4 NPs) synthesized via green methods is gaining recognition due to their biocompatibility and multifunctionality. This article reviews the antibacterial and anticancer properties of Co3O4 NPs synthesized using Delonix regia leaf extract. Characterization techniques confirmed their nanoscale size and uniform morphology. The antibacterial assay against Escherichia coli revealed significant activity, attributed to enhanced permeability and interaction with bacterial membranes. These findings highlight the …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 20–29 Read article
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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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Extraction of Copper from Electronic Waste (E-Waste): A Review
Abstract: The issue of electronic waste, or e-waste, is indeed a significant global concern with far-reaching environmental and health implications. As technology continues to advance and become more integrated into our daily lives, the disposal of obsolete or broken electronic devices has become a pressing issue. This waste not only contains valuable metals but also toxic substances, posing significant challenges for disposal and management. Improper disposal of e-waste is a significant …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 14–27 Read article
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Fruit Adulteration Detection Utilizing Machine Learning Methods
Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article
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Optimization of a new Bebq2/BCP-based OLED structure for optimum performance
Abstract: Opto-electronic devices exhibit highly nonlinear current–voltage (I–V) characteristics that significantly affect charge injection, transport, and recombination, evaluating their performance remains a difficult challenge. Device optimization is a key research goal in organic light-emitting diodes (OLEDs), as the thickness and arrangement of individual functional layers greatly influence electrical and optical responses. For a suggested Bebq2/BCP-based OLED structure, this work methodically examines the movement of charge carriers, their transport behavior, and the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Microneedles and the paradigm shift in the field of dentistry: A Review Article
Abstract: Needle-based instruments are advancing as a promising tool for both diagnosis and treatment within the medical realm. They possess versatility, being capable of drug delivery and fluid extraction, catering to both systemic and local requirements. Unlike traditional drug delivery methods, which necessitate repeated dosing in the oral cavity due to saliva presence, there's a growing demand for delivery systems like needle-based devices that can offer sustained drug release orally. These …
Published in Research and Reviews: A Journal of Dentistry Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Eco-Efficient Skies: Life Cycle Assessment and Carbon Footprint Minimization of Fiber-Reinforced Polymer Composites in Aerospace Application
Abstract: The increasing integration of fiber-reinforced polymer (FRP) composites in aerospace structures necessitates a rigorous evaluation of their environmental sustainability throughout their entire life cycle. This study presents a comprehensive life cycle assessment (LCA) and carbon footprint analysis of carbon fiber-reinforced polymer (CFRP) and glass fiber-reinforced polymer (GFRP) composites applied to structural and semi-structural components in commercial aerospace applications. Following ISO 14040/14044 standards and employing the ReCiPe 2016 Midpoint (H) impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–160 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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Phytochemical Screening and Biological Activity of Pomegranate Extracts
Abstract: Pomegranates are renowned for their abundance of bioactive compounds that exhibit potent antioxidant, anti-inflammatory, and antimicrobial properties, making them a subject of growing interest in natural medicine. This study aimed to compare the biological activities of ethanolic extracts derived from different parts of the pomegranate plant—specifically, the bark, peel, and leaves. A comprehensive investigation was conducted to evaluate their phytochemical composition and assess their antimicrobial, antioxidant, and anticancer properties. The …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 64–79 Read article
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Identifying sustainability traditional solutions of Dhamar house
Abstract: The world is facing numerous issues from environment pollution, from natural disasters resulting, from climate change, and from the waste of natural resources, has focused specific attention to sustainable development. The house design has different characteristics according to the culture and environmental conditions. The study attempts to answer that, is the traditional architecture of Yemen consists with the principles of sustainable architecture? Moreover, what are sustainable solutions used in the …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 2, 2023 · pp. 01–14 Read article
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Herbal Medicines and Complementary Therapies: Their Role, Types and Applications
Abstract: Medicinal plants are used in herbal medicine to treat and prevent illnesses. This includes the use of standardized and titrated botanical extracts in addition to common and traditional medicines from different cultures. The safety of a treatment may be suggested by its long history and deep cultural roots in traditional medical systems, but this does not always imply that it is effective. This is especially important in herbal medicine, since …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 40–53 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Characterization Of Senna Occidentalis (Link.) Seed Extract
Abstract: Senna occidentalis (L.) Link commonly known as "coffee senna" or majamfari/rai dore in Hausa is a plant with a long history of traditional and medicinal uses against diseases such as inflammation, pains, and diabetes. This study presents characterization of the bioactive compounds of the seed extracts. Physicochemical analysis of seed powder was carried out following standard procedures. Qualitative phyto-chemical contents were determined for the presence and absence of major metabolites. …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 13–22 Read article
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Advances in Non-Invasive NIR-Techniques for Gout Detection and Measurement
Abstract: Recent advancements in non-invasive near-infrared (NIR) spectroscopy techniques have significantly improved the detection and measurement of gout, a common form of inflammatory arthritis. Traditional diagnostic methods for gout, such as joint aspiration and crystal analysis, are invasive and can be uncomfortable for patients. In contrast, NIR spectroscopy offers a promising alternative by enabling real-time, non-invasive assessment of uric acid levels and related biomarkers associated with gout. The integration of portable …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 1–8 Read article
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Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 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