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223 articles for “Structural Model”
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Research ArticleOpen accessIn the abstractFrom Digital Engagement to Social Welfare: Measuring the Impact of the mSmart Application in a Developing RegionHendro Nindito, Evaristus Didik Madyatmadja, Siti Elda Hierra, MaryaniThe mSmart platform, introduced as a pilot initiative in Labuan Bajo, Indonesia, was developed to strengthen community participation in local digital services. This study explores the extent to which the application delivers social value to its users and the broader community. Guided by the Information Systems Success Model (ISSM) and the WebQual framework, the research focuses on three main factors: … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing User Satisfaction and System Trust through Gamification in E-Commerce PlatformsMontela Livanto, Viany Utami TjhinThe increasing adoption of gamification in e-commerce platforms has significantly transformed how people use, engage, and develop their trust in digital systems. Despite this, few empirical studies have so far investigated the integration of gamification with the DeLong and McLean IS Success Model to develop theories of user satisfaction and system trust in emerging markets. This study examines the influence … …Journal of Computer Science, Vol. 22, Issue 4 · 31 Mar 2026 · 1,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractPurification, Structural Characterization and Anti-Aging and Stress Activities of Cordyceps Mycelium Polysaccharides from Paecilomyces HepialiXiaokang Hu, Huixiu Ma, Guicai Chen et al.This study identified and characterized the bioactive polysaccharide components from Cordyceps mycelium powder (CMP) derived from Paecilomyces hepiali, evaluating their anti-aging and stress-protective activities. Initial screening using Drosophila melanogaster revealed that crude Cordyceps polysaccharides (CCP) exhibited comparable effects to CMP and Cordyceps aqueous extracts (CAE) on natural lifespan and UV stress resistance, suggesting CCP as the primary bioactive component. CCP … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Investigation of the Pollution Haven-Halo Nexus in Eastern and Southern AfricaPaul KauluThis study looks into the relationship between trade and pollution in Eastern and Southern Africa from 1977 to 2016. This timeframe is particularly relevant as it was marked by rising CO₂ emissions despite major climate agreements such as the Kyoto Protocol (1997), Reducing Emissions from Deforestation and Forest Degradation (REDD+, 2007), as well as the Paris Agreement (2015). Using time-series … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 28 Jan 2026 · 2,917 accessesView PDFCite
Review ArticleOpen accessIn the abstractBeyond Survival: The Unique Salt Secretion and Ion Homeostasis Mechanisms in Limonium bicolor Under Salt StressLinyang Wang, Pin Chen, Shuge TianSoil salinization poses a significant threat to global agriculture. Limonium bicolor, a recretohalophyte, has evolved a unique and efficient salt tolerance mechanism centered on epidermal salt glands for secreting excess salts. This review systematically synthesizes the multilevel salt tolerance strategies in Limonium bicolor, covering the structural basis of its multicellular salt glands, the molecular regulatory networks governing their development including … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 8 Sep 2026 · 791 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn silico and in vitro Structural Analysis on the Interaction of Calmodulin and Calmodulin-Binding Motif of FKBP35 from Plasmodium knowlesiSazlinawatie Aladin, Cahyo Budiman et al.FK506-binding protein 35 (FKBP35) is a peptidyl-prolyl cis-trans isomerase found in Plasmodium knowlesi, a zoonotic malaria parasite responsible for concerning cases of malaria infection in East Malaysia. This protein contains a segment known as the calmodulin-binding motif (Pk-CBM), which is predicted to facilitate interaction with calmodulin from P. knowlesi (Pk-CaM). Although this interaction is considered promising for future antimalarial drug … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 10 Mar 2025 · 4,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractEW-GAT: Edge-Weighted Graph Attention Framework for Patient-Aware Heart Disease Classification Using Feature-to-Feature Similarity GraphsRamakrishna Reddy Badveli, Nijaguna Gollara Siddappa, Sundeep Kumar KanipakapatnamHeart disease remains an important cause of global death, requiring accurate and clinically interpretable prediction models. However, traditional Machine Learning (ML) methods often fail to capture meaningful dependencies among clinical features and lack robustness across diverse patient populations. To overcome these issues, this research introduces an Edge-Weighted Graph Attention Network (EW-GAT) for patient-aware heart disease classification. The approach first models … …Journal of Computer Science, Vol. 22, Issue 7 · 25 Jul 2026 · 912 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Influential Nodes With Topological Structure Via GRAPH Neural Network (GNN) Approach in Social Media NetworksRajnish Kumar, Laxmi Ahuja, Suman Mann, Sanmukh KaurThe amount of data in social networks is vast these days, and constantly changing, making influential node identification crucial. The existing topologies are constantly changing due to the evolving behavior of the applied dataset. Node and leaf topology or feature-based value form the basis for machine learning and centrality computation. Hence, influential node value determination is based on the node … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,830 accessesView PDFCite