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Review ArticleOpen accessIn the abstractA Comprehensive Review of Traditional Antidiabetic Plants Used for Diabetes Management in South AfricaLaverdure Tchamani Piame, Constance Rusike, Yandiswa Yolanda YakoIn the wake of a global resurgence in complementary and alternative medicine, South African flora stands out for its wealth of species long employed in traditional treatments for diabetes. This review evaluates scientific advances in the anti-diabetic potential of traditional medicinal plants harvested in South Africa. Four electronic databases (Scopus, PubMed, Web of Science and African Index Medicus) were exhaustively … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 7 Oct 2026 · 470 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainable Technology for Agriculture at Extreme Altitudes: Design and Evaluation of a Sprinkler Irrigation System in a Peruvian High Andean CommunityJuan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Daniel Olivier Carranza Lizana et al.In high-altitude agroecosystems, erratic rainfall patterns and steep topography severely constrain crop productivity by exposing plants to soil water deficits during critical phenological stages. This study aimed to enhance the productivity of eleven staple and horticultural crops corn (Zea mays), tomato (Solanum lycopersicum), cucumber (Cucumis sativus), eggplant (Solanum melongena), lettuce (Lactuca sativa), carrot (Daucus carota), barley (Hordeum vulgare), celery (Apium … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 2 Oct 2026 · 663 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 abstractEffects of Aerobic Exercise on PPAR-γ Expression in Adipose Tissue and RT-PCR Detection AnalysisXiaodong Zhan, Chenguang Bi, Jie WeiThis study aimed to examine the effect of organized aerobic exercise on the expression level of Peroxisome Proliferator-Activated Receptor gamma (PPAR-γ) gene in adipose tissue by performing digital variant of RT-PCR, Droplet Digital PCR (ddPCR) which is a highly sensitive method for counting the gene copy numbers. The proposed scheme consists of three-stage analytical procedure, namely, Subphase I Controlled Aerobic … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 29 Sep 2026 · 598 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,127 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language ProcessingWalanstar Alimcan Sitorus, Evaristus Didik MadyatmadjaAssessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diversity continues to increase. This study proposes an analytical approach to detect the novelty of Indonesian academic research proposal titles by leveraging semantic similarity based on Natural Language Processing (NLP). The CRISP-DM framework is … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Aug 2026 · 1,078 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Metformin Treatment on Inflammatory Factors and Gut Microbial Diversity in Patients with Type II Diabetes MellitusLei Tong, Jingjing Zhang, Li Xiao Yue et al.With the persistent rise in the prevalence of Type 2 Diabetes Mellitus (T2DM), traditional treatment evaluations have primarily focused on glycemic control, often overlooking the multidimensional effects of medications. As a first-line therapeutic agent, the anti-inflammatory effects and gut microbiota regulation mechanisms of metformin remain incompletely elucidated. This prospective cohort study established a metformin treatment group and a T2DM control … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 785 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning for Proactive Detection of Network-Intrusion-Based Insurance FraudBenjamin Asubam Weyori, Selorm Kofi Tagbo et al.We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance fraud originating from network intrusions. The main contributions are: (1) the novel integration of SFE-PCA as a meta-feature construction step for tabular network flow data; (2) a sensitivity analysis that justifies PCA reduction ratios used … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 943 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Integrated Nursing and Digital Droplet PCR on Bullous Dermatoid Conditions: A Randomized Controlled TrialConghui ChenBullous skin disease is an autoimmune disease characterized by the formation of blisters on the skin or mucous membrane, which seriously impairs the quality of life and overall health. Similar to the research on biomolecules (mechanics of protein interaction), cells (including cell membrane elasticity, cell adhesion, cytoskeletal dynamics, response to mechanical stimulation, cell deformation and cell endoforce transfer) and tissue … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 993 accessesView PDFCite