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Research ArticleOpen accessIn the abstractEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Acute Oral Toxicity Induced by Tablets Based on Ethanolic Extract of Salvia dumetorum Leaves in Experimental RatsYana Levaya, Karakoz Badekova, Mussa Zholdasbayev, Gayane AtazhanovaThe aim of this study was to assess the acute oral toxicity of a solid dosage form based on Salvia dumetorum Andrz. ex Besser leaf extract (SDT5) in experimental rats. Acute toxicity was evaluated over a 14-day observation period following a single oral administration at three dose levels (500 mg/kg, 1000 mg/kg, and 2000 mg/kg), prepared in 0.5 mL of … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 23 Jun 2026 · 1,241 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Vitamin E on Stress Resorption, Lipid Profile and Reproductive Performance of Sokoto Red GoatsKehinde Matthias OKUKPE, Ling Shing Wong, Geetha Subramaniam et al.Vitamin E (α-tocopherol) plays a critical role in animal nutrition as an antioxidant, contributing to anti-inflammatory responses, immune function, and gene expression regulation. This study aimed to determine the optimal dietary level of vitamin E to alleviate the effects of environmental stress in Sokoto Red Goats transported from their native dry savannah belt to the humid derived savanna belt of … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 20 Mar 2026 · 1,509 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the Cytogenetic Status, Genome Instability, and Adaptive Potential of the Kazakh Tobet DogOksana Cherednichenko, Anastassiya Pilyugina, Dinara Azizbekova et al.In recent years, interest in indigenous dog breeds has increased. The Tobet is a unique breed of Kazakh livestock guardian dogs adapted to nomadic pastoralism that developed over thousands of years across Central Asia and Turkestan. Currently, the Tobet breed faces critical endangerment. Its conservation and sustainable breeding require thorough analysis of hereditary characteristics, genome stability, and adaptive potential. In … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractToxicity of Dinoflagellate (Gonyaulax verior) from Makassar Strait Waters on Medaka Fish (Oryzias javanicus) Embryo DevelopmentNita Rukminasari, Khusnul Yaqin, Jamaluddin Fitrah AlamThis study investigates the toxic effects of the dinoflagellate Gonyaulax verior on the embryonic development of medaka fish (Oryzias javanicus) sourced from four distinct aquatic environments in the Makassar Strait. Given the increasing presence of harmful algal blooms in marine ecosystems, understanding the impact of toxic dinoflagellates is crucial for assessing risks to fish populations. Embryos were exposed to varying … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 20 Nov 2025 · 2,123 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnveiling Skin Cancer: A Review of Deep Learning Techniques for DetectionGoutham Lal Shanmughamadom Harilal, Tamilselvi PanneerselvamEarly identification is essential for successful treatment and better patient outcomes since skin cancer is caused by damage to DNA in skin cells, which can result in genetic abnormalities and the possibility of metastasis. The present systematic review scrutinizes the efficacy and obstacles of early detection techniques, which differentiate between benign and malignant lesions by examining lesion attributes such as … …Journal of Computer Science, Vol. 21, Issue 9 · 23 Oct 2025 · 2,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemen Quality and Artificial Insemination Efficacy Using Sericin-Silica-Phosphate-CuO Hydrogel in Thin-tailed SheepEnike Dwi Kusumawati, I Wayan Karyasa, Duran Corebima Aloysius et al.Artificial Insemination (AI) in livestock is increasingly demanded because it greatly affects the productivity and quality of livestock. AI should be supported by advanced material chemistry, especially organic-inorganic hybrid biomaterials. We aimed to produce a prototype of renewable advanced biomaterial technology in the form of Sericin-Silica-Phosphate (SER-SI-PO) hydrogel reinforced with Copper Nanoparticles (CuNPs) and its application in AI. The testing … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 10 Jun 2025 · 3,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction of Sit-to-Stand Transition Using Vision-Based Pose EstimationAchmad Rizal, Bayu Erfianto, Sugondo Hadiyoso, IstiqomahSit-to-Stand Transition (STS) and vice versa are important indicators of independence and physical health. For normal people, this movement is easy to do but can be difficult for people who have health problems, such as those who have had an injury or stroke. Sit-to-stand assessments can be used to detect spinal disorders. However, spinal kinematic measurements require special instrumentation and … …Journal of Computer Science, Vol. 21, Issue 3 · 21 Feb 2025 · 6,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite