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1934 articles for “processing methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Biochemical mechanism for generating photosynthesis and rapid reproduction of Chlorella cells, using solar energy
Abstract: The main source of oxygen release and utilization of atmospheric carbon dioxide, using solar energy by phytoplankton cells of the world ocean, is the photosynthetic nanostructure of phytoplankton cells— chlorophyll. During the process of photosynthesis, the Chlorella cell not only releases oxygen and utilizes carbon dioxide from the atmosphere, using solar energy by the Chlorella cells of the world's oceans, but also produces glucose inside the cell, which, in the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 13, Issue 3, 2023 · pp. 1–8 Read article
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Development of A Rapid Microtiterplate Based Colorimetric Method for Estimation of Non-esterified Fatty Acids in Bovine Plasma
Abstract: Non-esterified fatty acid (NEFA) is one of the most important blood metabolites contributing significantly during body growth, cyclicity, pregnancy and lactation, and it plays more vital role particularly during transition phase of the biological processes like pregnancy to lactation transition period. Determination of blood concentrations of NEFA is, therefore, important. The measurement technique or assay for measurement of blood NEFA should be simple, reliable, accurate, rapid and cheap. Here, the …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 4, Issue 3, 2015 · pp. 29–34 Read article
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REVIEW OF INPUT SELECTION CRITERIA; COMPARISON OF POPULAR METHODS USED IN WATER STRESS ANALYSIS.
Abstract: This paper examines input variables and their respective selection criteria intended for application in methodologies addressing water scarcity. It presents a comparative analysis of prominent approaches utilized in assessing water stress within urban contexts, such as the Analytic Hierarchy Process (AHP), Multiple Criteria Decision Making (MCDM), Geographic Overlay Decision (GOD), and System for Integrated Assessment of City Transformation towards Sustainability (SINTACTS). The principal aim is to scrutinize prevailing input parameters …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 311–319 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Process Variable Optimization and Experimental Review of Aero-engine Blade using ECM
Abstract: AbstractProcess of blade in (EMC) can be effected by numerous factors, e.g., shape of blade, electrolytic liquid field and anodic dissolution, ECM parameters may result in affections on blade accuracy. Some aero-engine blade as research object, five main process parameters, voltage, machining gap, feed rate, temperature of working fluid and pressure variation of electrolyte inlet/outlet, are evaluated and optimized as per BP neural network Method. From 3125 possible operating parameter …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 27–32 Read article
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A Review on “Optimization of Process Parameters for Honing Process of GG25 Cylinder Liner”
Abstract: Manufacturing processes play requisite role in the market and industries. Stipulation of manufacturing processes has increased now days. Optimization is very essential thing in manufacturing processes. Due to optimization accuracy, productivity can be increased. Honing is a super finishing manufacturing process. Honing provides proficient surface finishing of the cylinder liner. Main purpose of honing is to give prevention against the leakage of oil. So, it can be stated that honing …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 5–7 Read article
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Engineering Hydrology for Flood Control, Adequate Water Resources and Sustainable Environment in Nigeria
Abstract: Life is dependent upon water, and the knowledge of hydrology must be deployed to tackle issues related to floods, water scarcity, and environmental and climate change. This article examines engineering interventions through hydrology for flood control, adequate water resources, and a sustainable environment in Nigeria. The methodology adopted includes a literature review, survey-based studies, and systematic sampling with basic random sampling. Findings revealed that excess precipitation has serious negative effects …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 1–10 Read article
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Geodetic Survey Control Networks Establishment using GNSS Online Data Post-Processing in Developing Countries
Abstract: Currently there are many online GNSS precise point positioning (ppp) post-processing services freely available to users. Three of them were used in this research: CSRS (Canadian Spatial Reference System) PPP, OPUS (On-line Positioning Users Service) developed by the National Geodetic Survey (NGS) and AUSPOS provided by Geoscience Australia. These solutions were tested to investigate the most suitable one for data processing in the Northern area of Cameroon which is likely …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 5, Issue 3, 2016 · pp. 34–41 Read article
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Data Mining Methods for Terrorist Activity
Abstract: Identification of outliers is an important component of data mining since such observations can have a profound influence and distort the analysis. In the recent years, detection of outlier has been broadly applied in the field of data mining. It is an important method for many research applications such as credit card fraud, computer intrusion detection, and criminal activities in electronic commerce, medical diagnosis and anti-terrorism, image processing. Detection of …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 38–43 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Evaluating the Efficacy of Implosion Water Treatment Versus Traditional Methods
Abstract: The first worry of all people is the quality of the water. The majority of the water that is accessible is unfit for immediate usage. Certain methods are frequently employed to purify water for optimal use. These methods include UV treatment, chemical treatments, reverse osmosis, filtration, and ultrafiltration, among others. Each of these water treatment methods is applied separately or in combination. There are benefits and drawbacks to each of …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 10–21 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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Advances in Water Purification: A Comprehensive Review of Techniques and Technologies
Abstract: Access to safe and clean drinking water is crucial for both environmental sustainability and human health, and water purification is a key component of this. Developments in water purification technologies have emerged as a key area of scientific and technical research due to the growing global water shortage and contamination. From conventional approaches to state-of-the-art technologies, this review article offers a thorough examination of the most current advancements in water …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 2, 2025 · pp. 26–30 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Perceived Parenting Styles and its Impact on Imposter Phenomenon and Life Satisfaction in Youth
Abstract: Parenting styles play an important role in forming an individual’s perception of self, thinking process as well as their overall well-being. However, there is limited research on how different methods of parenting influences imposter feelings and life satisfaction. The aim of the study was the understand the relationship between perceived parenting styles and its impact on imposter phenomenon and life satisfaction among youth population. Data from a sample of 100 …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 136–144 Read article
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Investigation On Waste Management And Its Recycling
Abstract: For doing the inventions with the Green Initiatives recycling and reusing of products is very essential. It has been acknowledged that one of the most important elements in achieving growth, environmental sustainability, and improved quality of life is green product innovation. Theory and practice have made it a strategic priority to comprehend how innovation and sustainability combine to produce green product innovation. In the face of growing environmental concerns and …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 51–60 Read article
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Next-Generation Biodegradable Polymer Composites: Enhancing Mechanical and Thermal Performance through Green Reinforcements
Abstract: Next-generation biodegradable polymer composites, combining compostable matrices such as polylactic acid (PLA), polyhydroxyalkanoates (PHAs) and starch-based polymers with green reinforcements (e.g., nanocellulose, lignin, agricultural residues and other bio-fillers), offer a pragmatic route to reconcile high performance with end-of-life sustainability. This paper examines recent advances in the design, processing and interfacial engineering of such composites to enhance mechanical stiffness, strength, toughness and thermal stability while preserving—or intentionally controlling—biodegradation pathways. Emphasis is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1780–1794 Read article
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Corrosion Characterization of Silicon Carbide and Fly Ash Particulates Dispersion Strengthened Aluminium 5083 Composites
Abstract: Corrosion behavior of aluminium metal matrix composites is a major study aimed at evaluating the potential of using the materials for aerospace components. Aluminium 5083 is a specific class of alloy which is known for its corrosion resistance in extreme environments and is used in aerospace components. However, the studies on effect of reinforcements such as silicon carbide and fly ash on corrosion behavior of aluminium 5083 alloy has not …
Published in Journal of Catalyst & Catalysis · Vol. 4, Issue 2, 2017 · pp. 9–21 Read article