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451 articles for “path analysis”
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The Future of Machining: Automation and Robotics in Modern Tools and Mechanics
Abstract: With the inclusion of automation and robots in current tools and mechanics, machining has undergone a substantial evolution. While robots has made it possible to automate difficult and repetitive jobs, automation has enhanced productivity, minimized errors, and increased regularity. Automation and robotics in machining have highly improved the industrial sector, delivering in more productivity, reduced prices, and better product quality. Automation and robotics will likely be used in machining increasingly …
Published in Trends in Mechanical Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 29–33 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology · pp. 10–27 Read article
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A Short Review on Breast Fibroadenomas
Abstract: Breast Fibroadenomas are the most common type of benign breast lumps found mainly in adolescent women. These are unilateral, smooth, demarcated, rubbery, mobile, and painless masses. They are believed to be formed by the influence of changes in the female reproductive hormone, estrogen and sometimes the combination of both estrogen and progesterone which mainly occurs at the time of puberty. Fibroadenomas are mostly found in women till the age of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 2, 2022 · pp. 8–14 Read article
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Disease Prediction System Using Data Mining
Abstract: The project's main goal is to develop a system that allows users to get personalized advice on their health problems using data mining techniques. In today's hectic world, most individuals overlook this asset, which could be due to a lack of time or the intricacy of the massive data available on the internet. Our goal is to evaluate data processing techniques in clinical and health care settings in order to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 1, 2022 · pp. 9–13 Read article
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Multi-factor Fused Light path QoT Prediction for Optical Net-works: A Multiple Reservoir Analysis Strategy
Published in Trends in Opto-electro & Optical Communication Read article
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Network Pharmacological Studies in Biological Interactions of Thymoquinone
Abstract: Thymoquinone, a bioactive phytochemical compound belonging to the class of benzoquinones, is prominently present in the plant Nigella sativa. Despite its widespread use, the precise molecular mechanisms underlying its beneficial effects remain elusive. To address this gap, we employed network pharmacology to investigate the actions of Thymoquinone (TQ). Our methodology encompassed the utilization of diverse bioinformatic tools to scrutinize this molecule of interest comprehensively. Initially, we retrieved the chemical structure, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 3, 2023 · pp. 18–25 Read article
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Seismic-Resilient Structural Systems: Geotechnical Engineering
Abstract: Earthquakes represent one of the most destructive natural hazards, capable of causing severe structural damage, loss of life, and substantial economic disruption. Seismic waves propagating through the ground can induce excessive forces and deformations in buildings, often leading to partial or complete collapse. Statistical records indicate that thousands of earthquakes occur globally each year, including several major events that result in significant damage. Past earthquake disasters have repeatedly demonstrated that …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 1, 2026 · pp. 55–63 Read article
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Improving Healthcare Information System Using Geographic Information System
Abstract: Employing electronic tools and new methods is a necessity due to the large volume of data and their applications in urban and regional plans on the one hand, as well as dynamic nature of data in urban systems, on the other hand. Healthcare service is, particularly, one of the most important urban applications which concerns numerous population, and covers a vast area of urban space. It faces many problems like …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 8–15 Read article
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High-Performance Polymer Composite Membranes for Selective Ion Transport in Advanced Energy Conversion Systems
Abstract: The development of high-performance Polymer Composite Membranes (PCM) with enhanced ion transport is essential for Polymer Electrolyte Membrane Fuel Cells (PEMFC). However, low-humidity conditions and filter agglomeration still limit long-term membrane stability. This research designs a functionalized PCM integrating cross-linked Poly (Vinyl Alcohol)/Poly (Ethylene Glycol) (PVA/PEG) matrix with sulfonic acid functional groups and Titanium Dioxide (TiO₂) nanofillers to improve selective ion transport under low-humidity conditions. Two types of PCM were …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 724–736 Read article
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Helicobacter pylori Sialic Acid-Specific Surface Lectin Associated with Pathogenecity Island cag PAI
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 Helicobacter pylori bacterium causing gastritis, duodenitis, non-ulcer dyspepsia, adenocarcinoma, MALT lymphoma and now-a-days causing hepatocellular carcinoma and cholengiocarcinoma has been studied for its surface antigens. There are many virulence factors which have been studied since many years. Cag-PAI is the site for virulence and causes mixed infections. Sialic acid is a type of glycan which is a surface lectin associated with adherence to cell …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 5, Issue 3, 2015 · pp. 10–17 Read article
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Molecular Docking Study: Targeting mycobacterium leprae ML2640 Protein Using Active Compounds from Coscinium fenestratum
Abstract: Objectives: Leprosy is an infectious disease in skin, peripheral nerve and mucosa of upper airway. Around 70% of this infection is caused by Mycobacterium leprae, which was discovered during1873. Multi drug therapy is used for the treatment, still multiple drug resistance and reactions has been reported among patients. Hence, this work focused on identifying bioactive compounds from Coscinium fenestratum that can target mycobacterium leprae ML2640 protein by in-silico approach. Method: …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 21–33 Read article
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Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Next-Generation Biorepositories: Accelerating Infectious Disease Research and Vaccine Innovation
Abstract: Next-generation biorepositories have emerged as critical infrastructure for advancing infectious disease research and accelerating vaccine development. By integrating cellular, genomic, and clinical data within harmonized frameworks, these repositories overcome traditional limitations of fragmented datasets and limited interoperability. The evolution from conventional biobanks to digitally enabled, multi-omics platforms has enabled comprehensive analysis of pathogen–host interactions, facilitating the identification of novel vaccine targets and correlates of protection. The COVID-19 pandemic underscored the …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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A Review on Cascade Tripping and Islanding Scheme
Abstract: Large black outs typically involve sophisticated and cascading chains of events. Giant blackout though sporadic, is expensive to society with estimates of direct prices up to billions of bucks. There also are indirect prices like attainable social disruptions and also the propagation of failures into different infrastructures like communications, water system, fossil fuel and transportation. The very important importance of electrical power to our society motivates continuing attention to maintaining …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 2, 2017 · pp. 24–27 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
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Identification of Hub Genes and Enriched Gene Ontology & Pathways in Idiopathic Pulmonary Fibrosis Through Bioinformatics Approaches
Abstract: Idiopathic Pulmonary Fibrosis (IPF) is a progressive interstitial lung disease marked by aberrant remodeling of lung tissue and excessive extracellular matrix deposition, ultimately leading to respiratory failure. Despite ongoing research, the molecular mechanisms underlying IPF remain incompletely understood. This research aims to uncover differentially expressed genes (DEGs) and related biological pathways through an integrated analysis of microarray data. Two publicly available datasets, GSE110147 and GSE53845, were obtained from the Gene …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 1–13 Read article
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Multi-Criteria Decision Making and Geoinformatics: Evaluating Tools for Alternative Road Network in Hilly Terrain
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Mobility is the backbone of activity system of the human race. Road transportation network has been an essential infrastructure facility, which needs to be developed and regularly maintained to detain increasing population and economy. A road network should offer connectivity throughout the year without any natural and anthropogenic hindrance. In the Ladakh province of Jammu and Kashmir, where road is the largest …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 31–41 Read article