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Research ArticleOpen accessIn the keywordsInvestigation of Shear Lag Factor in Long Structures with Pipeline System in Tubes under Wind LoadReza Salehi, Alireza KhalooThe type of lateral load capacity systems is one of the major challenges of structural engineers in implementing and designing high-rise structures. One type of common system is a pipe system in which the type of pipe in the classified pipe exhibits good behavior under wind and earthquake loading conditions. One of the issues that researchers have been studying over … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 22 May 2018 · 8,231 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurobehavioral Potential of Cod Liver Oil in Experimental Depressed Rats: Insights into Ingestive, Cognitive, and Motor FunctionsMegha Gokul, Dimple Shet, Nayanatara Arun Kumar et al.Depression-induced variations in the metabolic and neurological components have been given more attention in research. The chronic unpredictable stress rodent model mimics daily human life stressors. This study aimed to elucidate the defensive role of cod liver oil on memory, behavioral variations, and sensorimotor coordination in the Wistar rat model of comorbid depression. Wistar albino rats were categorized into the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 6 May 2026 · 1,301 accessesView PDFCite
Research ArticleOpen accessIn the abstractAir Quality Interpretation of Four Geographically Distinct Hot Spot States of India-An Appraisal Using Aerosol Optical Depth and Particulate MatterJacob Joshua, Aishwarya Sathyachandran, Chenicherry House SujathaThe application of Moderate Resolution Imaging Spectroradiometer-Aerosol Optical Depth (MODIS-AOD) for Air Quality (AQ) assessment has contributed significantly by making use of a spatiotemporal relationship between ground-level particulate matter and aerosol optical density at both city and state levels. Traditional ground-based site-specific particulate matter monitoring method has found a profound gap in their spatial coverage. Such challenging situations prevail over … …American Journal of Environmental Sciences, Vol. 18, Issue 6 · 8 Feb 2023 · 5,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 372 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlpha Thalassemia Carrier Detection a Diagnostic ApproachH. R. Samruddhi, Anupama Hegde, Harsha Prasada L et al.Alpha-thalassemia is one of the most common single-gene disorders, and its carrier state often remains undetected due to nonspecific hematological findings. This study aimed to identify alpha-thalassemia carrier status among people being investigated for hemoglobinopathy in a tertiary care setting. A cross-sectional laboratory-based study was conducted from January 2023 to January 2024. Hemoglobin variant analysis reports by High Performance Liquid … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 481 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement LearningMohd Kaleem, Kanta Prasad Sharma, Tapsi Nagpal et al.This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques for the solution of each problem using Machine learning, gaming industry is also a flourishing industry and has grown 9.8% compared to previous year and has generated a revenue of 26.14 billion dollars … …Journal of Computer Science, Vol. 22, Issue 9 · 22 Sep 2026 · 666 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndian Toy Research: Trends, Gaps and Future DirectionsRajesh P. Vansdadiya, Nimish H. VasoyaThis review aims to synthesize the current state of toy-related research in India, identify major research gaps, and propose a conceptual framework for the emerging interdisciplinary field of Toy Science. A structured review of approximately 95 India-focused publications was conducted. The reference list includes representative sources cited directly in the manuscript, while additional documents were used for thematic synthesis and … …Journal of Social Sciences, Vol. 22, Issue 1 · 24 Jul 2026 · 1,396 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Areas Susceptible to Gullies in Ideato South Local Government Area of Nigeria Using Geographic Information System and Remote Sensing TechnologySylvanus IroGully erosion is a critical environmental hazard in Southeastern Nigeria, threatening agricultural productivity, infrastructure, and communal safety. This study provides a spatially explicit assessment of gully erosion susceptibility in Ideato South Local Government Area (LGA), Imo State, using an integrated Geographic Information System (GIS) and Remote Sensing framework. The methodology employed a multi-criteria decision-making approach, utilizing the Analytical Hierarchy Process … …American Journal of Environmental Sciences, Vol. 22, Issue 1 · 20 Jul 2026 · 1,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractToward Intelligent Evaluation of Digital Public Services: Evidence from Indonesia’s SIM Online PlatformEvaristus Didik Madyatmadja, Ricky Kosasih, Najla Aurelia Evanthe et al.This investigation examines more than 65,000 user evaluations from the Google Play Store concerning sentiment toward the Digital Korlantas POLRI application. Reviews were systematically processed and categorized through Naïve Bayes, Support Vector Machine, and Random Forest classifiers, thereby highlighting the perceived strengths and weaknesses of the platform. Among the tested models, Naïve Bayes outperformed the others, yielding the greatest accuracy, … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,345 accessesView PDFCite
Research ArticleOpen accessIn the abstractsuPAR as an Inflammatory and Preclinical Atherosclerotic Marker in Hypovitaminosis DShravan Ajith Panchwadkar, Sudha Kuthethur, Neelam Manjunath Pawar et al.The mechanistic link between inflammation and atherosclerosis highlights the critical role of immune modulation in cardiovascular disease. The soluble urokinase plasminogen activator receptor (suPAR), an immune-derived factor, has recently emerged as a non-specific inflammatory marker across chronic diseases and infections. All cells within the atherosclerotic arterial wall can express uPAR and release urokinase, which plays a key role in the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 30 Mar 2026 · 1,122 accessesView PDFCite