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66 results for “research ethic”
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Research ArticleOpen accessIn the abstractThe Use of Management and Hormonal Oestrous Synchronisation on Indigenous Sheep Reared ExtensivelyAyanda Maqhashu, Jabulani Nkululeko Ngcobo, Hester Adri O'Neill et al.As the global population increases, demand for animal products will result in increased livestock-related greenhouse gas emissions that contribute to climate change. One of the strategies for reducing this impact would be the improvement of indigenous livestock reproductive efficiency that are hardy and well adapted to harsh environmental regions. The use of reproductive technologies increases efficiency of animals necessary for … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 29 Aug 2024 · 4,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractMarine-Derived Extracts as Economically Sustainable and Ethical Alternatives to Fetal Bovine Serum in HEK293 Cell CultureKian Kenneth Francisco Sanchez, Jennifer Seki-Wong et al.Fetal Bovine Serum (FBS) is a staple supplement in cell culture, providing key growth factors that promote cell health and proliferation. Since 1885, cell culture has been a cornerstone of both basic and applied research, leading to significant discoveries of cell communication and function. However, the use of FBS presents economic and ethical challenges. Millions of bovine fetuses are euthanized … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 7 Aug 2026 · 1,042 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDFCite
Review ArticleOpen accessIn the abstractCirculating Immune Complexes as an Important Link between Inflammation and Lipid Alterations in AtherosclerosisAnastasia Vladimirovna Poznyak, Nikolay Alexandrovich Orekhov, Vasily Nikolaevich Sukhorukov et al.This review article rigorously investigates the emerging facets of atherosclerosis pathogenesis through an exhaustive examination of the existing data on the intricate interplay between lipid metabolism disorders and inflammation. A primary objective of this study is to thoroughly explore the role of Circulating Immune Complexes (CIC) as a pivotal indicator of this multifaceted interaction. The focus of this review centers … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 14 Aug 2024 · 3,926 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeepfake Technology: A Comprehensive Review of Trends, Applications, Ethical Concerns, and ChallengesBattula Thirumaleshwari Devi, Rajkumar RajasekaranThe digital age has fundamentally transformed how information is created and disseminated, raising critical concerns about the authenticity and trustworthiness of online content. Recent advances in Artificial Intelligence (AI), particularly deep learning, have given rise to deepfakes: highly realistic synthetic media generated by manipulating or replacing faces, voices, and actions in videos. While deepfake technology offers innovative applications across various … …Journal of Computer Science, Vol. 22, Issue 1 · 17 Feb 2026 · 4,861 accessesView PDFCite
Review ArticleOpen accessIn the abstractMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDFCite
Review ArticleOpen accessIn the abstractMitigating Privacy and Security Risks in the Era of Big Data: A Comprehensive Framework of Best Practices and ProtocolsUma Narayanan, Nithin Puthiya Veettil, Ratheesh Thottungal Krishnankutty et al.Addressing the intricate challenges of security and privacy in big data necessitates a focused research approach toward the development of innovative frameworks, protocols and algorithms. This study advocates for a heightened focus on advancing encryption technologies and methodologies to bolster data anonymization, thereby fortifying the protection of user information. Additionally, emphasis is placed on enhancing data access control mechanisms to … …Journal of Computer Science, Vol. 20, Issue 9 · 13 Jul 2024 · 5,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Hybrid Model to Predict the Performance of Trainee Teachers Based on Clustering and ClassificationYissam Lakhdar, Khawla EL-Bendadi, Brahim BakkasThis article explores how artificial intelligence, particularly machine learning, can be used to assess and predict the performance of trainee teachers in Morocco. Considering the country's focus on integrating technology into education and the challenges posed by the COVID-19 pandemic, the authors propose a novel hybrid model that combines clustering and classification algorithms. This model aims to understand the Information … …Journal of Computer Science, Vol. 20, Issue 9 · 26 Jun 2024 · 5,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence of Feline Leukemia Virus and Feline Immunodeficiency Virus in Patients from Veterinary Centers in Three Colombian CitiesAna Sofía Mejía-Villada, Maria José Arenas-González, Carolina Ríos Usuga et al.In Colombia, research on Feline Leukemia Virus (FeLV) and Feline Immunodeficiency Virus (FIV) is incipient, despite being the viruses of greatest clinical and epidemiological importance in domestic cats, presenting a worldwide distribution but with very variable prevalence. To determine the molecular prevalence of FeLV and FIV and their associated factors in domestic cats treated in veterinary centers in three Colombian … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 11 Jun 2024 · 7,283 accessesView PDFCite