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591 articles for “Ram”
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Research ArticleOpen accessIn the author namesBacteriological Assessment of Rainbow Trout (Oncorhynchus mykiss) Subjected to Low-Temperature StorageRomán Alejandro Téllez-Cortez, Ángel Ruyan García-Hurtado, Mayra Diaz-Ramírez et al.Fish is a food with high nutritional value and an essential part of the human diet. However, this food is highly perishable and poses a health risk when contaminated along the food chain, requiring preservation processes at low temperatures. Trout (Oncorhynchus mykiss) is one of the most widely produced and marketed fish species for human consumption worldwide, through products such … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 31 Jul 2026 · 1,008 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Sentiment Analysis Approach for Affective State Recognition With SWISH-Activated DenseNet-169 in Human Event ForecastingKarthik Elangovan, Prabhakaran Paulraj, Dinesh Babu G L et al.Detecting human feelings from images is perhaps one of the most useful and challenging social communication problems in research. Emotion detection-based deep computing outperforms classic image processing techniques. Facial recognition technology has permeated every aspect of our daily lives, from unlocking our phones to getting private file access on our systems. Machine Learning and Deep Learning make it easy to … …Journal of Computer Science, Vol. 22, Issue 8 · 29 Jul 2026 · 1,211 accessesView PDFCite
Research ArticleOpen accessIn the author namesEW-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 author namesWastewater Treatment Using Organic By-Products from Agroindustry: A Case Study in the District of Valera, Amazonas Region, Northern PeruEli Morales-Rojas, Sayda Karina García Caro et al.This research evaluates the use of two types of coagulants based on organic by-products (orange and passion fruit) in wastewater (RA) treatment. The system was composed of glass tanks installed in parallel. The coagulants were elaborated and applied in aqueous solution and in powder form, and 7 physicochemical and microbiological parameters were also analyzed. Data analysis was performed using a … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 2 Jul 2026 · 1,172 accessesView PDFCite
Literature ReviewOpen accessIn the author namesPhenotypic, Reproductive and Genomic Perspectives on the Status and Research Gaps of South African Bosvelder SheepNhlakanipho Sam Zulu, Khoboso Christine Lehloenya, Khanyisile Hadebe et al.The South African Bosvelder sheep is an emerging composite sheep developed from indigenous Bapedi and commercial White Dorper and Van Rooy sheep. Despite its reported adaptability and production potential under bushveld conditions, the sheep remains scientifically under-characterized and is not formally recognized within national breeding frameworks. This narrative review evaluates the current state of knowledge regarding phenotypic, reproductive, and genomic … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 2 · 1 Jul 2026 · 1,242 accessesView PDFCite
Research ArticleOpen accessIn the author namesImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Research ArticleOpen accessIn the author namesEnhanced RoBERTa Model for OCR-Based EHR Parsing and Information ExtractionBalaji Ganesh Rajagopal, Amarnath C, Chidambaram Sawri Rajan, Deebalakshmi RamalingamHealthy source data for medical research and health analytics in general can be obtained from Electronic Health Records (EHRs). Nevertheless, due to the complexities of the design and especially the unstructured nature of them, it is not easy to extract important information from digital documents. This paper proposes a fundamentally new approach to the problem of interpreting EHRs obtained by … …Journal of Computer Science, Vol. 22, Issue 4 · 5 May 2026 · 1,581 accessesView PDFCite
Research ArticleOpen accessIn the author namesVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the author namesEffect of Methyl Jasmonate and Plant Growth Promoting Rhizobacteria (PGPR) on Antioxidant Potential and Metabolomic Profiles of Zingiberaceae RhizomesHenny Lieke Rampe, Hanny Hesky Pontororing, Hanry Jefry Lengkong et al.The rhizomes of Zingiberaceae plants are used as cooking spices, medicines, cosmetics and beverage ingredients. Zingiberaceae rhizomes have the potential to be immunostimulants, antioxidants and immunomodulators. Antioxidants are chemical compounds that bind free oxygen radicals and prevent free radicals from damaging healthy cells. This research aimed to analyze the antioxidant potential and metabolomic compounds of the rhizomes of the Zingiberaceae … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 10 Apr 2026 · 1,311 accessesView PDFCite
Research ArticleOpen accessIn the author namesImpact of Foliar Bio-Based Fertilization on Spring Wheat (Triticum Aestivum L.) in Reconciling Productivity and Alleviation of Environmental Concerns Under Semi-Arid ConditionsGani Stybayev, Raushan Ramazanova, Kelvin Harrison Diri et al.A two-year randomized field trial was conducted to evaluate the effects of foliar bio-based fertilization on the growth, productivity, grain quality, and soil health of spring wheat (Triticum aestivum L.) under semi-arid conditions in Northern Kazakhstan. Four treatments were compared: T0 (100 kg Ammophos, mineral fertilizer control), T1 (50 kg N14P23 + biotreatment), T2 (25 kg N14P23 + biotreatment), and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 3 Apr 2026 · 1,526 accessesView PDFCite