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1,410 results for “L. Major”
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Research ArticleOpen accessIn the abstractNurses’ Perception of Management Styles and Factors Influencing Retention of Nurses in Ghana: A Cross-Sectional SurveyAugustine Kumah, Hillary Selassi Nutakor, Godwin Gideon Kwaku Dorvlo et al.Retention of health professionals in the health sector in Ghana is crucial to address the human resource needs of the health sector and to promote an efficient and effective healthcare system. Nurses are one of the key professionals whose role in the healthcare industry cannot be underestimated. This study assessed nurses’ perception of management styles and factors influencing the retention … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 2 Apr 2022 · 7,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Palm Kernel Cake Based Biosupplement Biscuits on Nutrient Utilization, Growth Performance, and Metabolic Responses in Male Ettawah GoatsTintin Rostini, Suharlina, Achmad Jaelani et al.Palm Kernel Cake (PKC), a major by-product of the palm oil industry, has considerable potential as an alternative feed ingredient for ruminants because of its wide availability, moderate protein content, and economic value. However, its utilization is often constrained by high fiber and lignocellulosic components that may limit nutrient digestibility. This study evaluated the effects of PKC-based biosupplement biscuits as … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 22 Oct 2026 · 390 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 581 accessesView PDFCite
Review ArticleOpen accessIn the abstractJAK Inhibitors for Rheumatoid Arthritis: Assessing Efficacy and Safety in TreatmentAnastasia V. Poznyak, Varvara A Orekhova, Natalia Vladimirovna Elizova et al.Rheumatoid Arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, progressive joint destruction, and systemic complications. Dysregulated cytokine signaling through the Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway plays a central role in RA pathogenesis, making JAK inhibitors an important therapeutic option. Tofacitinib, baricitinib, and upadacitinib are oral targeted synthetic disease-modifying antirheumatic drugs that interfere with … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 8 Oct 2026 · 430 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlternative Monitoring Approach for IPTVAngel Ignatov, Hristo Toshkov Hristov, Jan Latal et al.IPTV emerged in the late 1990s as a solution for delivering Video on Demand (VoD) and live television over managed networks. Its widespread adoption accelerated after the expansion of broadband internet and the introduction of web technologies such as HTML5 and adaptive streaming protocols (MPEG-DASH and HLS), which enabled television content to be streamed directly through web browsers. Across Europe, … …Journal of Computer Science, Vol. 22, Issue 11 · 8 Oct 2026 · 438 accessesView PDFCite
Research ArticleOpen accessIn the abstractRIA-ViT: A Residual Inception Atrous Vision Transformer for Detection of Gallbladder Cancer from CT ImagesAbhishek Sehrawat, Anita Gupta, Vishnupriya, Varun P. GopiGallbladder Cancer (GBC) is a rare but highly aggressive malignancy of the biliary system. In early-stage gallbladder cancer, there are neither overt symptoms nor specific signs. In most patients, it is diagnosed late, resulting in poor outcomes. Even when imaging is available, diagnosing GBC remains difficult because its features overlap with those of non-neoplastic gallbladder pathologies. Furthermore, the overlap between … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 423 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 494 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 548 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 711 accessesView PDFCite