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Research ArticleOpen accessIn the abstractEfficacy of Murraya paniculata Leaf Flour in Reducing Subclinical Mastitis in Dairy Goats Fed Date Pulp-Based DietsDwierra Evvyernie, Endah Yuniarti, Rika Zahera, Anuraga JayanegaraSubclinical mastitis is a major concern in dairy production, leading to economic losses and antibiotic dependence, which poses risks of milk residue contamination. As a natural alternative, orange jasmine (Murraya paniculata) leaves, rich in flavonoids, exhibit antimicrobial and anti-inflammatory properties. This study investigated the effects of incorporating date pulp and orange jasmine leaf flour (OLF) into the diets of lactating … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 21 Feb 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 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
Literature ReviewOpen accessIn the abstractSigns of Predisposition to Atherosclerosis in Fetal DevelopmentAnastasia Vladimirovna Poznyak, Igor Alexandrovich Sobenin, Elizaveta M. Pleshko et al.Atherosclerotic Cardiovascular Disease (ASCVD) remains a significant global health concern, contributing to a substantial number of deaths worldwide. The etiology of this condition is multifaceted, influenced by a plethora of genetic and environmental determinants. Notably, certain risk factors and predictive markers associated with ASCVD may already present or emerge during the prenatal or neonatal period. Early recognition of these markers … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Lightweight and Privacy-Preserving Biometric Authentication Framework for Sustainable IoMT SystemsSaima Anwar Lashari, Mahmood A. Al-Shareeda et al.Biometric authentication provides secure, identity-bound access control for the Internet of Medical Things (IoMT), crucial for wearable, implantable, and ambient devices. However, the inherent immutability and sensitivity of biometric data pose severe privacy risks in the event of a breach. Furthermore, conventional public-key cryptography is often too computationally intensive for resource-constrained IoMT hardware. To address these challenges, this paper proposes … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractSex-Based and Age-Specific Trends in Gardnerella vaginalis Infection: An Epidemiological Study in Republic of Korea, 2018-2022Hyeok-Jin Kwon, Sun-Gyu Kim, Junmin Lee et al.Sexually Transmitted Infections (STIs) are an important global public health issue caused by various pathogens. STI symptoms can manifest at different times, depending on the sex, age, and infection route. Here, we aimed to assess the occurrence of STIs in the Republic of Korea, explore associated global trends, and identify pathogens with high positivity rates to inform future health policies. … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 29 Jan 2026 · 1,928 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Investigation of the Pollution Haven-Halo Nexus in Eastern and Southern AfricaPaul KauluThis study looks into the relationship between trade and pollution in Eastern and Southern Africa from 1977 to 2016. This timeframe is particularly relevant as it was marked by rising CO₂ emissions despite major climate agreements such as the Kyoto Protocol (1997), Reducing Emissions from Deforestation and Forest Degradation (REDD+, 2007), as well as the Paris Agreement (2015). Using time-series … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 28 Jan 2026 · 2,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social MediaNeetu Rani, Amit Kumar Bhardwaj, Shaily Jain et al.Numerous businesses have faced significant repercussions due to the widespread dissemination of false information and rumors across social media platforms. The impact of fake news extends to tarnishing public perception, damaging corporate reputations, disrupting communities, undermining governmental integrity, exposing companies to risks, and posing a grave threat to social cohesion. This research article delves into the endeavours of prominent researchers … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Jan 2026 · 1,814 accessesView PDFCite