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1321 articles for “Method development”
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Improvement of Geometric Tolerances and Mechanical Properties of Aluminum Hybrid Metal Matrix Composites
Abstract: In the field of metal matrix composite materials, there has been a generous thrust towards the development of electrical discharge machining (EDM). In this study, stir casted aluminum hybrid metal matrix composites were successfully machined using EDM by analyzing the input process parameters namely, pulse-on time, peak current, and gap voltage using L27 orthogonal array. The ideal conditions for various output responses such as material removal rate, circularity, and radial …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1583–1592 Read article
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Adaptive Street Illumination System with Energy Harvesting
Abstract: This paper presents an Adaptive Street Illumination System with Energy Harvesting, developed using an Arduino Uno microcontroller, Light Dependent Resistor (LDR), Infrared (IR) motion sensors, and piezoelectric transducers. The system addresses the significant energy wastage of conventional street lighting by activating LEDs only when motion is detected during nighttime. The LDR detects ambient light to determine day or night conditions, while IR sensors identify the presence of vehicles or pedestrians. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Soil Stabilized Road
Abstract: This research examines the suitability of soil-stabilized roadways for light vehicular movement, offering an economical and practical alternative for areas with limited infrastructure development. Stabilizing soil involves improving its engineering properties by incorporating additives such as cement, lime, or other binding materials. Through stabilization, the treated soil can achieve a compressive strength of approximately 5 N/mm², or 500 tonnes per square meter (t/m²), which is sufficient to support loads imposed …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 2, 2025 · pp. 38–42 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Molecular Docking and Interaction of Anthocyanin Derivatives in Regulating Hippo-taz Pathway for Renal Injuries
Abstract: Introduction: The Hippo pathway plays a pivotal role in renal disease, with Yes-associated protein (YAP) exhibiting promise for combined treatments. The crucial evaluation of YAP-targeted drug safety and efficacy through preclinical studies is imperative. Additionally, α-SMA and SMAD3 emerge as potential therapeutic targets in renal fibrosis, driving ongoing research toward innovative interventions. Materials and Methods: In the systematic identification of therapeutic secondary metabolites, Anthocyanin derivatives were methodically retrieved from the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 23–38 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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The Social Media Misinformation Loop: An Analysis of Consumption and Sharing Behaviours among Medical Students
Abstract: Background: The contemporary information landscape is largely dominated by social media, which has emerged as a major source of information for medical students. This study aims to investigate the information consumption and sharing behaviours of medical students in Jammu and Kashmir, India, in the context of misinformation and its growing influence. Methods: A cross-sectional survey using a structured questionnaire was administered to 668 students from 13 medical colleges. The data …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 Read article
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AQUASOMES: A Vesicular, Self-assembled Ceramic Nanoparticulate Drug Carrier
Abstract: Nano-biopharmaceutics involves delivery of biopharmaceutical product through different biomaterials like multi-functional nanoparticles, quantum dots, aquasomes, super-paramagnetic iron oxide crystals, and liposomes dendrimers. Aquasomes are considered as one of the most recently developed delivery systems for bioactive molecules like peptides, proteins, hormones, antigens and genes to specific sites. Aquasomes have a spherical shape and a particle size of 60–300 nm. These are three layered self-assembled nano-particulate carrier system. This three-layered structure …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 3, 2025 · pp. 1–14 Read article
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DMARDs, Biologic Agents and Novel Experimental Strategies in The Treatment of Rheumatoid Arthritis
Abstract: An inflammatory and autoimmune disease, rheumatoid arthritis (RA) causes severe pain and inflammation in affected areas of the body. According to the report, there is no known cure for RA. Therefore, reducing discomfort and halting future harm must be the goals of present therapy. For the purpose of prevention and to reduce disease activity in RA patients, significant success has been achieved with the continued development of disease-modifying antirheumatic drugs …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 14–24 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 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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Development and Evaluation of Medicated Mouth Wash
Abstract: The present invention is to formulate and evaluate a novel medicated mouth rinse using Achyranthes aspera extract in an oil-based formulation. The herb Achyranthes aspera, which has long been used for medicinal purposes, was chosen because of its purported anti-inflammatory and antibacterial qualities. This study aimed to create a safe, effective, and pleasant-tasting mouth rinse to maintain oral hygiene and address common oral health issues. Achyranthes aspera’s bioactive components were …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 21–30 Read article
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Synthesis and Evaluation of New Coumarin Derivatives for Inflammatory Bowel Disease Against DSS-Induced Acute Ulcerative Colitis Mice Model
Abstract: Objective: The discovery of the now numerous mouse models of intestinal inflammation has increased our understanding of the intestinal inflammation that occurs in inflammatory bowel disorders (IBD). This study aimed to investigate the use of a standardized animal model subjected to coumarin derivative treatment, and the action of synthesized molecule administration of dextran sodium sulphate (DSS)- induced colitis in experimental mice. Materials and Methods: We generated a variety of unique …
Published in Journal of Modern Chemistry & Chemical Technology Read article
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Biosynthesis of Zinc Oxide Nanoparticles and Their Revolutionary Impacts on Agroindustry: Review
Abstract: Nanotechnology is a new approach of science which provides alternative tool in many fields including agriculture. This comprehensive review focuses on the biosynthesis and characterization of zinc oxide nanoparticles (ZnO NPs), highlighting their vast potential in agroindustry applications. Unlike traditional physical and chemical methods, which are often costly, time-consuming, and involve hazardous materials, this review explores the promising biological synthesis routes, offering a more sustainable and eco-friendly alternative for producing …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 33–50 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Design and Research of Thermoelectric Energy Harvesting Methods for Instantaneous Use
Abstract: In today’s consumer-oriented market, researchers are attempting to harness energy from ambient sources for sustainable energy generation leading to reduction of dependency on conventional energy sources. Energy harvesting methods offers enormous opportunities to derive energy from our natural surroundings to directly operate self-powered devices or storing it for later use. Generating energy from our nearby environment seems to be a promising solution to address the growing concerns of powering small …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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An Analytical study of Government Scheme for Farmers in Gujarat: Impact, Implementation Challenges, and Policy Implications
Abstract: Gujarat’s economy is mostly dependent on agriculture, which increases food security, rural employment, and state revenue. Despite the state’s notable progress in irrigation infrastructure and agricultural commercialization, Gujarat farmers continue to face challenges, such as market volatility, water scarcity, unpredictable weather, and rising input costs. The governments of Gujarat and India have implemented several initiatives aimed at addressing these problems, including crop insurance, irrigation expansion, farm mechanization, income support, digital …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 38–44 Read article
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A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks
Abstract: The internet of things (IoT) refers to the interconnection of a large number of distinct physical objects, which in turn makes possible a variety of services and applications. Because the IoT sector is developing at such a rapid rate, ensuring its safety ought to be a high concern. At this time, ransomware attacks constitute the biggest danger to IoT posed by cyberattacks. Ransomware is software that blocks access to or …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 14–23 Read article