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183 articles for “Physical Model”
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Research ArticleOpen accessIn the abstractExploring the Relationship Between Skin Barrier Function, Sensitivity, and Repair MechanismsXiaoqing Yan, Yusong Shi, Jiguang YangFor healthy skin, the skin's barrier function must remain maintained. Many different molecular while immunological signaling mechanisms are involved in skin barrier control. The control of a healthy skin barrier, particularly acid mantle maintenance and proper amounts of ceramides, may help dermatologists develop remedies for skin barrier disruption disorders. In contrast, new medicines could focus on signaling pathways to offer … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 15 Feb 2026 · 1,905 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel River Meander Migration and Cutoff Model: A New PerspectiveYoussef Ismail HafezAccurate prediction of river meander migration is crucial for effective river management and operation, particularly in light of climate changes and human-induced interventions. Existing models often rely on single-equation approaches, such as bank erosion rate versus excess bank velocity or excess bank shear stress, which limit their ability to comprehensively capture the complex dynamics of meander evolution. This study presents … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 21 Mar 2025 · 7,687 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Succinct Review on Identification of Network Anomalies and Protection in Cyber-Physical SystemsShalini Kumari, Chander Prabha, Prakash Srivastava et al.Advanced cyberattacks outperform traditional threat detection methods in the rapidly expanding cybersecurity field. Advanced Machine Learning (ML) algorithms can detect network traffic and system problems using AI-based Anomaly Detection (AD) for cybersecurity in real-time. Signature-based systems may overlook new and subtle threats. This paper examines Artificial Intelligence (AI) driven AD systems' design, methodology, and efficacy. The process includes data preprocessing … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Expert System Based on Interpolation, Forward Chaining, and Certainty Factor for Diagnosing Abdominal ColicHari Soetanto, Painem, Muhammad Kamil SuryadewiansyahAbdominal colic is a common condition that affects infants and it can be difficult to diagnose because it shares many symptoms with other conditions, such as gastric disease and appendicitis. Limitations of existing diagnostic methods include the unreliability of physical examinations and medical histories and the high cost and time-consuming nature of imaging tests. This research proposes an expert system … …Journal of Computer Science, Vol. 20, Issue 2 · 30 Dec 2023 · 5,779 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccessibility to Emergency Health Care in Cape Coast GhanaLincoln Tei Nyade, Emmanuel Abeashi MensahGlobally one in every 10 dies from their inability to access emergency health care. For developing countries where the number of trauma cases resulting from motor accidents, conflicts, and industrial accidents is steadily rising, access to emergency health becomes even more important. The study examined the level of access to emergency health care using the Three-delay model. Dimensions of access … …Journal of Social Sciences, Vol. 19, Issue 1 · 22 Jun 2023 · 6,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Framework for Classifying and Evaluating Yoga ExercisesMehar Latif Malik, Arun KhoslaYoga is a type of physical activity that combines physical postures with breathing techniques. Cardiovascular disease is the leading cause of illness and mortality. Yoga's potential involvement in cardiac recovery can be incorporated into cardiovascular rehabilitation. Classifying and evaluating yoga exercises using a deep learning framework plays a significant role in postoperative recovery. Home based rehabilitation often suffers from a … …Journal of Computer Science, Vol. 19, Issue 2 · 30 Jan 2023 · 6,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Smartphone Addiction in Teenagers: An Integrative Model Incorporating Machine Learning and Big Five Personality TraitsJacobo Osorio, Marko Figueroa, Lenis WongSmartphone addiction has emerged as a growing concern in society, particularly among teenagers, due to its potential negative impact on physical, emotional social well-being. The excessive use of smartphones has consistently shown associations with negative outcomes, highlighting a strong dependence on these devices, which often leads to detrimental effects on mental health, including heightened levels of anxiety, distress, stress depression. … …Journal of Computer Science, Vol. 20, Issue 2 · 29 Dec 2023 · 8,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractMetabolic Potential Versus Genome SizeAtanas Todorov Atanasov, Dimitar Todorov ValevAlberch, P. (1983). Development and Evolution: Embryos, Genes, and Evolution. The Developmental-Genetic Basis of Evolutionary Change. Science, 221(4607), 257–258. https://doi.org/10.1126/science.221.4607.257 Andrews, C. B., Mackenzie, S. A., & Gregory, T. R. (2009). Genome size and wing parameters in passerine birds. Proceedings of the Royal Society B, 276(1654), 55–61. https://doi.org/10.1098/rspb.2008.1012 Atanasov, A. T. (2005). The linear alometric relationship between total metabolic energy … …Physics International, Vol. 13, Issue 1 · 15 Jun 2022 · 7,233 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping a Linear Quadratic Regulator for Human Lower Extremity Exoskeleton RobotSk Khairul Hasan, Anoop DhingraDuring the last two decades, exoskeleton robot-assisted neurorehabilitation has received a lot of attention. The major reason for active research in robot-assisted rehabilitation is its ability to provide various types of physical therapy at different stages of physical and neurological recovery. The performance of the robot-assisted physical therapy is greatly influenced by the robot motion control system. Robot dynamics are … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 23 May 2022 · 7,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor NetworksN. E. Kanaghadhara, R. SubanThe Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental or physical factors such as sound, pressure, or temperature, and pass the information directly through the network to a sink or central location. Clustering and routing are essential in WSNs to optimize their longevity, scalability, and efficiency. Clustering includes grouping Sensor Nodes (SN) into clusters, each … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 686 accessesView PDFCite