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Research ArticleOpen accessIn the abstractEvaluating Online Learning in India: Insights from StudentsRitu Gupta, Anuradha Khattar, Meetu Bhatia Grover et al.As technology has advanced, the educational system has undergone numerous modifications. The benefits of online teaching and learning include increased accessibility, reduced costs, and the opportunity to learn at any time and from any location. However, a few drawbacks of this approach include a decline in student involvement, a lack of face-to-face interaction with classmates and teachers, and technical difficulties. … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,595 accessesView PDFCite
Research ArticleOpen accessIn the abstractPotentiometric Biosensor for Highly Toxic Pb (lead) and Cd (cadmium) Detection in Milk Using Layer-by-Layer ImmobilizationZhainagul Kakimova, Klara Zharykbasova, Aitbek Kakimov et al.Milk contamination with heavy metals such as lead (Pb) and Cadmium (Cd) poses a serious threat to public health, particularly in industrial regions. To address the need for rapid and on-site detection of these contaminants, a potentiometric biosensor was developed for the quantification of Pb²⁺ and Cd²⁺ ions in milk and dairy products. The biosensor functions by measuring the change … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 8 Feb 2026 · 1,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN ArchitectureSunil K. Vithalani, Vipul K. DabhiEarly disease detection in plants is essential for sustaining agricultural yield and guaranteeing food security. A comparative analysis of transformer-based and convolutional based deep learning models for classifying tomato leaf diseases is presented. Specifically, it examines the performance of a Vision Transformer (ViT), tested both in a form of scratch training setup and through transfer learning, against well-known CNN architectures … …Journal of Computer Science, Vol. 22, Issue 1 · 7 Feb 2026 · 3,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Surface Microhardness and Antimicrobial Activity of Conventional and Bioactive Composite Materials for Dental RestorationsBruno Fongaro Dalbosco, Rafael da Silva Vanolli, Poliana Maria de Faveri Cardoso et al.This study evaluated the fluoride release capability, antimicrobial activity, and surface microhardness of bioactive composite resins, critical properties for the effectiveness and durability of dental materials in restorative procedures. Conventional and bioactive composite resins with varying viscosities were tested. Specimens of each resin type were prepared and stored in physiological saline solution for 24 hours to simulate oral conditions. Surface … …Current Research in Dentistry, Vol. 16, Issue 1 · 29 Jan 2026 · 2,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractICT-Based Blended Learningin the Information Age: AnApproach for Enhanced Learning MotivationFayez Khazalah, Yousef Aljaraideh, Anas Husain, Ahmad RabeeBlended Learning (BL) learning has emerged as a transformative approach in higher education, combining traditional face-to-face instruction with the advantages of online learning to enhance the educational process. BL has recently relied on Information and Communication Technology (ICT) to facilitate its implementation and usefulness. This study relies on Self-Determination Theory (SDT) to demonstrate the potential of ICT-based BL to support … …Journal of Computer Science, Vol. 21, Issue 12 · 26 Jan 2026 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Antioxidant Effects of Essential Oil Blends and Individual Oils Using the DPPH Radical-Scavenging AssaySunghun Jang, Jae Kyung KimOxidative stress is recognized as a major contributor to conditions such as cancer, aging, and inflammation. Consequently, there is a growing interest in the use of natural antioxidants, particularly essential oils, owing to their safety benefits and potent antioxidant properties. The aim of this study was to evaluate the antioxidant effects of four essential oil blends (Refresh, Zest, Revitalizing, and … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 5 Jan 2026 · 2,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge, Attitude and Beliefs of the Patients about Condom use as Seen in Mulago Referral Hospital, Uganda, between 2008-2011Henry Ojiambo, Emmanuel Othieno, Andrew Livex OkwiThis was cross sectional, descriptive laboratory based study, whose objective was to determine knowledge, attitude and beliefs of the patients about condom use and its associated benefits. The study was done at Assessment Center, Mulago Referral Hospital, Uganda. The sample size of 113 was calculated for the study and 100 participants enrolled for the study (74 males; 26 females). Their … …Journal of Social Sciences, Vol. 13, Issue 2 · 10 May 2017 · 8,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Barriers to the Adoption of Augmented Reality-based Applications in Education System: DEMATEL ApproachMonika Nijhawan, Nidhi Sindhwani, Sarvesh Tanwar, Shishir KumarAugmented Reality (AR) is an emerging technology that enhances user perception by overlaying virtual information onto the physical world. In educational contexts, AR integration has demonstrated potential to improve learning engagement, motivation, and conceptual understanding among students. However, teachers face numerous challenges when incorporating AR technologies into classroom instruction, including technical difficulties stemming from inadequate training, resistance to technology adoption, … …Journal of Computer Science, Vol. 21, Issue 10 · 17 Dec 2025 · 2,413 accessesView PDFCite