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662 articles for “Review process”
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Microalgae: Promising Sources of Biofuels
Abstract: Single-celled photosynthetic organisms known as microalgae have drawn a lot of interest as a potential source for the synthesis of biofuel. These microscopic organisms are able to effectively convert sunlight and carbon dioxide into biomass that is high in proteins, carbs, and lipids. Microalgae makes up to 19% starch concentration providing an eco-friendly and sustainable way to satisfy the growing need for renewable energy sources.Although they can be made from …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 1–12 Read article
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A Short Review on Long-Term Effects of Botox on Neuronal Sprouting: Mechanisms and Its Clinical Implications
Abstract: Botulinum toxin (Botox) is extensively used for its ability to induce temporary muscle paralysis through inhibition of acetylcholine release at neuromuscular junctions. While its short-term effects are well documented, emerging evidence suggests that chronic use of Botox may trigger neuronal sprouting, a process that could have significant long-term implications. This review synthesizes current research on the mechanisms by which Botox induces nerve sprouting and evaluates the clinical outcomes associated with …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 72–87 Read article
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Sustainable Membrane Technologies for Environmental and Industrial Applications: A Review
Abstract: Membrane-based technologies have become indispensable in addressing global environmental and industrial challenges, including water scarcity, pollution control, and energy efficiency. While conventional membranes provide high selectivity and process efficiency, their sustainability is limited by factors such as fouling, high energy consumption, and end-of-life waste management. Recent advances in material science, nanotechnology, and bio-inspired design have led to the emergence of sustainable membranes with improved durability, lower environmental footprint, and broader …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 7–12 Read article
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A Comprehensive Review on Piezoelectric Composites for Energy Harvesting and Sensing
Abstract: The capacity of piezoelectric composites to transform mechanical energy into electrical energy and vice versa has drawn a lot of interest recently. This property makes them very appealing for use in energy harvesting and sensing applications. These materials combine the high piezoelectric performance of ceramics with the mechanical flexibility and processability of polymers or other matrices, enabling a wide range of practical uses in flexible electronics, wearable systems, and embedded …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
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Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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A Review on Effect of Cryogenic Treatment on Wear Resistant Bearing Materials for Automotive Application
Abstract: Cryogenic processing has come as a successful supplementary process to common heat treatment, especially in improving the wear-resistant performance of materials employed in in-vehicle applications. This sub-zero processing is normally performed following quenching and before tempering, during which materials are subjected to extremely low temperatures, typically around -196°C, for prolonged periods of 24 hours. Cryogenic treatment, which involves subjecting materials to extremely low temperatures, has demonstrated promising results in changing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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Analysis of Bioinformatics Software Applied in Computer-Aided Drug Design
Abstract: The integration of bioinformatic tools with computational methods has revolutionized the field of Computer-aided Drug Design (CADD), enabling researchers to expedite the discovery and optimization of new therapeutics. This review provides an in-depth analysis of the bioinformatic tools utilized in CADD, encompassing molecular docking, molecular dynamics simulation, virtual screening, homology modelling, and molecular visualization. We go over the tenets, approaches, and uses of these instruments, emphasizing their value in expediting …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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Sustainable Membrane Fabrication Using Green Chemistry Principles: A Comprehensive Review of Microwave Irradiation, Sonochemical, and Continuous Flow Methodologies
Abstract: Membrane-based separation technologies have emerged as indispensable tools in water purification, biomedical engineering, pharmaceutical processing, and environmental protection. However, conventional membrane fabrication processes often rely on hazardous organic solvents, energy– intensive steps, and environmentally taxing conditions. In response to increasing global emphasis on sustainability and regulatory pressures, green chemistry strategies have gained attention for enabling safer, energy-efficient, and eco-friendly membrane production. This review provides a comprehensive and structured analysis of …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 8–24 Read article
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Therochemical Conversion of Biomass: An Overview
Abstract: A viable way to utilize biomass resources for energy production is through thermochemical conversion processes. This study presents a thorough analysis of the principles, workings, benefits, and drawbacks of thermochemical conversion processes, such as pyrolysis, gasification, and combustion. We examine the various uses of thermochemical conversion in waste management, biofuel synthesis, and energy production. We also go over recent developments, technological breakthroughs, and potential future paths for biomass thermochemistry research. …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 2, 2023 · pp. 31–42 Read article
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Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 Read article
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Seasonal Dynamics of Coastal Landscapes: A Critical Review Using Remote Sensing and GIS
Abstract: Coastal landscapes are among the most dynamic environments on Earth, undergoing continuous transformation due to both natural processes and anthropogenic activities. In India, particularly along the southern coastal regions of Andhra Pradesh, Tamil Nadu, and Kerala, shoreline morphology and sediment transport patterns are significantly influenced by seasonal monsoons, cyclones, storm surges, waves, tides, and changing river discharges. These factors contribute to varying rates of coastal erosion, accretion, inundation, and land- …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Virtual Reality in Education: A Transformative Tool for Enhanced Learning
Abstract: Virtual reality (VR) is a revolutionary technology in education, providing immersive and interactive experiences that can transform the learning process and enhance student engagement with educational content. This review paper provides an in-depth analysis of the applications of VR in education, exploring its effectiveness in enhancing learning outcomes, student engagement, and critical thinking skills. Additionally, the paper delves into the challenges and opportunities associated with integrating VR technology into educational …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
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The Induction, Formation, and Establishment of Giant Cell in Plant-Parasitic (Meloidogyne Spp.)-Host Interactions: A Molecular and Cellular Basis
Abstract: Root-knot nematodes, (RKN) are obligatory endoparasites of over 3000 plant species, causing $70 billion in annual economic losses globally. The second stage juveniles hatch from the eggs invade the root apex and inject pathogen effectors that induce specialized feeding cell called Giants cell that are large multinucleated cell formed, due to repeated cycles of mitosis without cytokinesis and served sole source of feeding site for rootknot nematode. The ability RNN …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 2, 2024 · pp. 34–45 Read article
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Functional Biomolecules in Animal Nutrition: Biochemical Mechanisms and Their Impacts on Growth Performance and Health Outcomes
Abstract: Functional biomolecules have emerged as critical modulators of animal nutrition, extending beyond conventional nutrient supply to regulate biochemical and physiological processes that determine growth performance and health outcomes. This review synthesizes current knowledge on diverse classes of bioactive compounds, including amino acids, peptides, fatty acids, vitamins, minerals, phytochemicals, and microbial-derived metabolites, and their roles in livestock systems. Emphasis is placed on underlying biochemical mechanisms such as enzyme activation, nutrient signaling …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
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A Comprehensive Review on FinFet Technology : Advantages, Challenges and Applications
Abstract: New devices and enhanced layers have been developed, specially the FinFET (Fin Field-Effect Transistor) which is considerably superior to the planar transistor because of its ability to meet the new demands of systems for high-performance, low-power, and dimensions reduction. Some of the recent developments in FinFETs mentioned in this review include a reduction of leakage currents by 50% and an enhancement of the speed by 30%; thus, FinFETs remain fundamental …
Published in Journal of Semiconductor Devices and Circuits Read article
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Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
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Examining Experimentally the Impact of Spot-Welding Process Variables on Metal Matrix Composites
Abstract: Metal matrix composites work in concert with reinforcement to improve the material's qualities. Reliability in joining metal matrix composites using traditional methods is challenging. Friction Stir Welding has demonstrated the ability to solve numerous issues that arise in traditional welding procedures. Initially, the Friction Stir Welding (FSW) welding procedure produced metal seams that were solid. Additionally, FSW was expanded to join MMCs and their alloys. The purpose of this review …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 193–201 Read article