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588 articles for “extracted”
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Beryllium Mineralogy and Its Strategic Applications in Modern Industries
Abstract: Beryllium, a rare lithophile element, exhibits unique physical and chemical properties that make it indispensable in various high-technology industries, including aerospace, nuclear energy, defense, and telecommunications. This review explores the mineralogy, extraction, applications, and resource distribution of beryllium, highlighting the metallurgical and industrial significance of its primary minerals, beryl and bertrandite. Despite being one of the lightest metals, beryllium boasts high strength, heat resistance, and conductivity, properties that support its …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 28–33 Read article
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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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Flaxseed-Based Drug Delivery Systems: Advancing Colon Cancer Treatment
Abstract: Flaxseed (Linum usitatissimum) has long been appreciated for its rich nutritional profile, including essential fatty acids (such as α-linolenic acid), plant fibers, and lignans. Recent research has focused on its potential as a novel drug delivery system (DDS) for the treatment of colon cancer. This review explores the bioactive constituents of flaxseed, their pharmacological activities, and innovative approaches to the use of flaxseed extracts in drug delivery for the treatment …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 54–59 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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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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Green Synthesis of Cobalt Oxide Nanoparticles Using Delonix regia Leaf
Abstract: Green synthesis of nanoparticles offers a sustainable and eco-friendly alternative to conventional methods. This study explores the biosynthesis of cobalt oxide nanoparticles (Co3O4 NPs) using Delonix regia leaf extract as a reducing and stabilizing agent. The synthesized Co3O4 NPs were characterized by UV-visible spectroscopy, Fourier transform infrared (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM), confirming their uniform spherical morphology with an average size of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 30–38 Read article
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Comparative Analysis of Antioxidant and Antimicrobial Properties of Tasar Sericin from Different Ecological Regions of India
Abstract: Sericin is a by-product of the silk industry, has gained attention for its bioactive properties, and ability to scavenge free radicals for protecting cells from oxidative damage, and different climatic conditions may influence the biochemical properties of the sericin. Thus, the present study aims to evaluate the antioxidant and antimicrobial properties of tasar sericin extracted from silkworms reared in diverse ecological regions of India. South Bihar, Jharkhand, Chhattisgarh, and Odisha …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 70–76 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 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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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Design and Implementation of a Real-Time ANPR-OCR Based Embedded System for Automated Vehicle Compliance Verification-Checking Valid PUC and Insurance
Abstract: With the rapid increase in vehicle ownership, ensuring adherence to traffic regulations has become essential, particularly concerning vehicle insurance and Pollution Under Control (PUC) certification. Non-compliance with these requirements can lead to financial risks, legal violations, and environmental damage. Traditional enforcement methods rely on manual inspections, which are time-consuming, inefficient, and prone to human error. To address these challenges, this paper proposes an automated system that utilizes Automatic Number Plate …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Formulation and Evaluation of Polyherbal Soap with Antibacterial and Dermatological Benefits: A Polymer Chemistry Approach
Abstract: This study investigates the formulation and evaluation of polyherbal soap composed of extracts from Vitex negundo, Azadirachta indica, and Curcuma longa. These plants possess significant antibacterial, dermatological, and skin-nourishing properties. The soap formulation follows a saponification process using coconut oil and sodium hydroxide as primary reactants, incorporating polymer chemistry principles in soap structuring and stability. Polymers such as polysaccharides and fatty acid chains contribute to the stability, viscosity, and foaming …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 158–164 Read article
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Isolation and Characterization of Glucuronide Compound from Luffa Tuberosa (Roxb.) for Potential Applications in Polymer Chemistry
Abstract: This study explores the isolation process of glucuronide compounds from Luffa tuberosa (Roxb.) using an efficient and cost-effective method. The extracted compound, Gypsogenin-3β-O-β-D-Methyl glucuronide, is characterized using spectroscopic techniques such as IR, NMR, and Mass Spectrometry. The polymeric nature of glucuronide-based compounds and their potential applications in polymer and composite materials are discussed. The findings highlight the suitability of glucuronide derivatives in biomedical, pharmaceutical, and polymeric drug delivery systems. Additionally, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 566–572 Read article
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Selective Recovery of Valuable Chemicals from Tire Pyrolysis Oil: A Sustainable Approach
Abstract: The generation of waste/scrap/end-of-life tires (ELTs) poses severe environmental challenges globally. For the disposal of huge numbers of ELTs (generated every year) using conventional recycling methods, like as landfill or incineration, are not preferred due to their adverse environmental impacts. To overcome this problem, an alternative and promising technology is developed -the pyrolysis of waste tires. Pyrolysis is a thermochemical process that decomposes organic materials (Rubber Hydrocarbons) in the absence …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 31–43 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Demonstration of Percentage Reduction of Petroleum Hydrocarbon Remediation in Soil using Ponderosa Lemon Leaf as Bio-stimulant
Abstract: The study of the performance of bio-remediant was demonstrated in terms of percentage reduction of petroleum hydrocarbon remediation in soil using ponderosa lemon leaf as bio-stimulant. The bio-stimulant was introduced into two environmental conditions of room-dried and sun-dried sample and the impact of the environmental factor was considered in the contributing agent on the variation in the rate of the total hydrocarbon degradation as well as the variation in the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–15 Read article
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A Comparative Review on Abelmoschus palianus and Barleria mysorensis: Phytochemical Constituents, Pharmacological Potentials, and Ethnobotanical Significance
Abstract: Medicinal plants have long served as invaluable resources for treating human ailments, with countless species still awaiting scientific exploration and validation. Abelmoschus palianus and Barleria mysorensis are two such botanicals with rich ethnomedicinal heritage but limited pharmacological characterization. This review presents a detailed comparative analysis of these two species, examining their botanical descriptions, geographic distribution, traditional applications, phytochemical constituents, pharmacological properties, toxicological profiles, and therapeutic potential. Abelmoschus palianus, native to …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 7–13 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article