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373 articles for “extraction”
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Effect of Al2O3 and CeO2 Nanocatalysts on Biodiesel Yield from Pine and Soapnut Oils
Abstract: Abstract This study examines the influence of aluminium oxide (Al2O3) and cerium oxide (CeO2) nanocatalysts on the biodiesel yield obtained from two non-edible oils: pine oil and soapnut oil. Both oils were extracted through mechanical pressing and converted into biodiesel using the transesterification process. To understand how different process conditions, affect biodiesel production, a Box–Behnken Design (BBD) was used. Three key variables—methanol-to-oil ratio, catalyst concentration, and reaction temperature—were analyzed to …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 1–10 Read article
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Lignocellulosic Fibers for Nonwovens: Description, Manufacturing Processes, and Applications
Abstract: The increasing environmental concerns associated with synthetic polymers have prompted a shift towards sustainable alternatives in the textile industry, particularly in nonwoven fabrics. Lignocellulosic fibers, derived from natural plant sources, have emerged as promising candidates due to their excellent mechanical properties, biodegradability, and lower environmental impact. This study provides a comprehensive examination of lignocellulosic fibers as eco-friendly substitutes for synthetic materials in nonwoven textiles. It covers the extraction techniques, properties, …
Published in International Journal of Plant Biotechnology · Vol. 11, Issue 2, 2025 · pp. 54–87 Read article
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TATA’s Green Revolution: A Pioneer in Corporate Solutions from Industry to Ecology for SDG-15 and Biodiversity Conservation
Abstract: AbstractPopulation growth, coupled with industrial and colliery activities, is leading to habitat degradation andenvironmental deterioration, significantly impacting crucial eco-system services. In mining regions,like the Noamundi Iron ore and West Bokaro Colliery, these challenges are particularly evident asresource extraction activities can threaten local biodiversity. SDG-15, “Life on Land”, aims to preserveand improve ecosystems while preventing and reversing biodiversity loss and land degradation. Inresponse to these challenges, TATA Steel has executed BMPs …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 11, Issue 1, 2025 · pp. 40–48 Read article
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Ainamoi’s Bauxite Boom: Economic and Employment Opportunities
Abstract: AbstractMinerals and exploration methodologies rooted in geological expertise and practical applications arecrucial for infrastructure development. The process of mineral exploration generally commences withfield geological mapping, followed by geophysical surveys, geochemical analyses, and drillingtechniques to gather comprehensive information. This mapping initiative begins with a thoroughassessment of historical data, geological maps, field observations, and the collection of samples forsubsequent laboratory analysis. During these investigations, geochemical results yielded significantinsights. The evaluation determined that …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 11, Issue 1, 2025 · pp. 20–39 Read article
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Flood Susceptibility Modeling Using Logistic Regression in QGIS Environment
Abstract: Abstract Flood is the most common natural disaster of Sri Lanka. Sri Lanka is suffering from extensive flood events more frequently than previously due to climatic changes. Due to rapid urbanization, there are limited land resources to live in Kalutara district which is not prone to flood events. This research aims to model the flood susceptibility in Kalutara district Sri Lanka which is having frequent flood events using Logistic Regression …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Performance and Emission Analysis of Water HyacinthBiodiesel with TiO2 Nano-Additives Over Diesel Engine
Abstract: AbstractThis research work is related to performance and emissions analysis of diesel in combination with thewater hyacinth biodiesel with TiO2 as a nano-additive. This study also proposes water hyacinthbiodiesel (WHB) as a possible alternative energy source because the species is extensively dispersed infreshwater, marine, and aquatic ecosystems worldwide. Investigation is performed comparing TiO2nano-additive blended with water hyacinth biodiesel and diesel at various engine loads. WHB wasmixed with petroleum diesel fuel …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 26–37 Read article
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Synthesis of Zinc Nanoparticles drenched cleanser using green principles and study on its antibacterial activity
Abstract: Bauhinia variegata is explored for its potential in the green synthesis of ZnO NPs, benefiting from its rich phytochemical profile including flavonoids, tannins, terpenoids, and glycosides.The plant’s extracts serve as effective reducing and capping agents in nanoparticle synthesis, contributing to biocompatibility and environmental safety. ZnO nanoparticles synthesized via green approaches have demonstrated significant antimicrobial, antioxidant, and anti- inflammatory activities, making them suitable for applications in healthcare, particularly in antimicrobial soaps …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 2, 2025 Read article
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Building a Sustainable Future Through Renewable Energy Exploration
Abstract: Climate change is one of the most pressing current challenges in terms of ecosystem stability, individual and global health and economy. The emissions of greenhouse gases due to the activities of anthropogenic origin on the combustion of fossil fuels, deforestation and other industrial processes. A renewable energy system converts the energy found in sunlight, wind, falling water, sea waves, geothermal heat or biomass, such as heat or electricity. Most of …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 87–94 Read article
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Isocoreopsin and Glycogen Phosphorylase – An in-silico Interaction Study: A New Way to Tackle Type 2 Diabetes (T2D)†
Abstract: The activity of glycogen phosphorylase (GP) plays a crucial role in regulating glycogen metabolism, and its excessive activity has been closely linked to the pathogenesis of metabolic disorders, such as type 2 diabetes (T2D). Therefore, targeting GP inhibition has emerged as a significant therapeutic strategy for managing this disease. Current research focuses on the discovery and development of novel small molecules capable of suppressing GP activity. Among these, flavonoids have …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 76–80 Read article
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To Study the Effects on Mechanical Properties ofConcrete by Partial Replacement of Sand with MetallicSwarf
Abstract: Abstract The utilization of metallic swarf in concrete manufacturing is increasing in importance due to its environmental and economic benefits. However, the mechanical qualities of such concrete frequently appear inferior to regular concrete. To improve the mechanical characteristics of standard concrete, numerous additives have been researched, but the utilization of metallic swarf remains a mystery. This research investigates the recycling of waste metallic swarf produced in the automobile industry and …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 54–60 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Algae as a Biofuel: A Promising Path to Sustainable Energy
Abstract: The increasing global demand for sustainable energy sources has intensified interest in biofuels, particularly those derived from algae. Algae-based biofuels are a promising alternative to traditional fossil fuels because of their high lipid and oil content, quick growth rates, and ability to flourish in a variety of settings. This review article examines the potential of algae as a biofuel source, focusing on recent advancements in algal cultivation, lipid extraction, and …
Published in International Journal of Plant Biotechnology · Vol. 10, Issue 2, 2024 · pp. 7–18 Read article
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Thermodynamic Analysis of Evacuated Tube Solar Collector based Water Heating System: Experimental Approach
Abstract: Energy from the sun is the most profuse and least extracted source of energy ever used in the history of usable resources. Current work aims to harness solar energy for heating water and put it into use by maximizing its effect through evacuated tube solar collector (ETSC). In this work, the effect of low mass flow rates on thermodynamic performance (energy efficiency, exergy efficiency and rate of irreversibility) of an …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Transforming Carbon: The Science and Potential of Gasification
Abstract: Methanol and chemicals like urea and ammonia, which are the building blocks of many fertilizers, can be produced via the gasification process. Additionally, gasification can assist in the production of transportation fuels from biomass, coal, oil, and sands. Drying, pyrolysis, combustion, cracking, and reduction are the five distinct thermal processes that make up gasification. Drying removes moisture from the feedstock, while pyrolysis breaks down complex hydrocarbons into simpler molecules. Combustion …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 1, 2025 · pp. 24–35 Read article
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Applications of Sesame Residues as Sorbents for Oil Removal from Produced Water
Abstract: Large amounts of produced water are produced in tandem with the production of crude oil. Both dissolved and dispersed oil are present in produced water, which can contaminate the environment and pose health risks to people. In this study, the oil component, cadmium, and lead ions were extracted from the generated water using sesame residues and agricultural wastes. The sesame residues were dried, size-reduced, and ground. Standard techniques were used …
Published in International Journal of Agrochemistry · Vol. 11, Issue 1, 2025 · pp. 5–16 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Chemical Treatments to Modify the Surface of Agricultural Waste Fibers as a Green Substitute to Cellulosic Fiber Treatment
Abstract: Scientists are searching for natural elements that can decompose naturally and replace synthetic materials that have not been biodegradable for a while. The automotive, space, furniture, construction, medical, and packaging industries are among the many that use synthetic composite materials. This has resulted in growing interest in biodegradable bio composites. In recent years, a variety of stem fibers, including jute, flax, hemp, and kenaf, have been employed to replace the …
Published in International Journal of Composite and Constituent Materials · Vol. 11, Issue 1, 2025 · pp. 35–45 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article