Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractCytocompatibility and Antimicrobial Properties of Silver Nanoparticles-Loaded AMPs in the Oral CavityYanli Lv, Weikai ZhangPostoperative infection following oral metal implantation is a key factor that affects the success rate of surgery. This infection is mainly caused by bacterial biofilms. Traditional single antibacterial coatings have limitations, including a narrow antibacterial spectrum and poor cytotoxicity or stability. This study combined silver nanoparticles (AgNPs) and the synthetic antimicrobial peptide GL13K using electrostatic self-assembly technology to create a … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 24 Apr 2026 · 1,685 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-NFV for Smart Digital and Secure Physical Structures in E-Government, Healthcare, and Network SystemsHayder Abdulsattar Nahi, Ebtehal Akeel Hamed, Rusul A. Salman, Akmam Majed MosaThis paper proposed a combined model that melds Blockchain technology with Network Function Virtualization (NFV) to promote many areas, such as smart, secure, and scalable physical and digital infrastructures in E-Government, Healthcare, and Network Systems. The model treats the principal objections in conventional systems, including centralization, slowed service deployment, and restricted safety. By employing decentralized Digital Identity Decentralized identifiers (DIDs), … …Journal of Computer Science, Vol. 22, Issue 4 · 21 Apr 2026 · 1,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicrobial Diversity as a Biological Control Mechanism for Fruit Tree Diseases: A Comparative ApproachZhichao TangThe traditional methods of fruit tree pest control have long relied on chemical pesticides. This not only leads to increased resistance of pests and diseases but also adversely affects the ecological environment and fruit safety. Although biological control has gradually received attention, the current research on how to systematically use microbial diversity to achieve efficient control and prevention is still … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 8 Apr 2026 · 1,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Distillation GAN Model for Network Intrusion DetectionChandrakala C B, Sai Sreevall, Raghudathesh G PThis study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single teacher generator is utilized to train both the teacher discriminator and the student discriminator. The model was trained to identify anomalies present in network traffic intrusions by tuning the min-max loss function in GANs. … …Journal of Computer Science, Vol. 22, Issue 2 · 5 Mar 2026 · 1,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltrasonic Microwave Assisted Extraction, Chemical Characterization and Antioxidant Activity of Polysaccharides from Fig LeavesBaikangzhe Zheng, Yang Miao, Yi Zhou et al.This study employed ultrasonic-microwave-assisted extraction (UMAE) to isolate water-soluble polysaccharides from fig (Ficus carica L.) leaves (FLPs). Polysaccharide yield was used as the primary index to evaluate extraction efficiency. The effects of material-liquid ratio, microwave power, extraction temperature, and extraction time on polysaccharide yield were systematically investigated through single-factor experiments, followed by response surface methodology optimization. Structural characterization and antioxidant … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 3 Mar 2026 · 1,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Multifunctional Health Food Based on Smilax Glabra ExtractLiuzhou ZhangWith the increasing demand for health management, the development of functional foods based on natural plant extracts has received widespread attention. Due to its medicinal and edible properties, the Smilax glabra extract has become an ideal raw material for multifunctional health foods. Therefore, a new type of chewable tablet based on Smilax glabra extract is developed by optimizing the preparation … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 28 Feb 2026 · 1,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Changes in Brain Tissue During Experimental HypoxiaAizhan Mussayeva, Ulbossin Kozhaniyazova, Laura Koibasova et al.The extensive application of hypoxic training to enhance cerebral circulation highlights its significant role in effectively realizing the therapeutic and health-promoting benefits of this method. The discrepancy between the data on the features of cerebral circulation and cellular metabolism in brain tissues during circulatory hypoxia and significant interest in the physiological patterns of the integrative response of the body determined … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 20 Feb 2026 · 1,552 accessesView PDFCite
Research ArticleOpen accessIn the abstractAraSenti-MARBERT-DynGCN: An Advanced Framework for Sarcasm Detection in Arabic TextBassma M Mousa, Mohammed H. Haggag, Mervat GheithSarcasm detection in Arabic texts is challenging because of the complexity in Arabic morphology, the multitudes of dialects used by native speakers, and its strong reliance on context. The lack of standardized orthography in most written forms of Arabic, combined with the frequent use of colloquialisms and metaphorical expressions, makes the task all the more difficult when trying to detect … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,562 accessesView PDFCite