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Research ArticleOpen accessIn the abstractTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpidemiological Insights and Case Fatality Analysis of SARS-CoV-2 in Indian States During the First WaveRakesh Kaushik, Nikita et al.Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has globally spread, causing a significant health crisis. India, with over 157,000 fatalities, ranks third globally in mortality cases. While vaccine development has played a pivotal role in decelerating the virus's spread, understanding the specific factors influencing morbidity and mortality during the first wave remains essential. This retrospective study analyzes data from 28 Indian … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 21 Jan 2025 · 4,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of in vitro Maturation Media on Cattle Oocytes after in vitro Embryo ProductionSindisiwe Mbali Sithole, Masindi Lottus Mphaphathi et al.The study was conducted to compare differences in vitro maturation media and their effect on subsequent in vitro embryo production. The study procedures were approved by the agricultural research council animal ethics committee (Ref no: APAEC 2020/05) and the Tshwane university of technology animal research ethics committee (Ref no: AREC 2021/08/004). Follicular fluid containing a suspension of oocytes was retrieved … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 1 · 23 Feb 2023 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractDoes Monetary Policy Stimulates Macroeconomic Performance during Economic Downturn in Nigeria?Bashir Adelowo Wahab, Sam-Siso Ebasi OkrinyaThis study investigated the relationship between monetary policy and macroeconomic performance in Nigeria during 1981-2018. The stochastic properties of the time series data were examined using both conventional and unit root tests with structural breaks to account for shift dummy in the series. Their results indicates that the series are combination of both I(0) and I(1) in the same specification … …Journal of Social Sciences, Vol. 16, Issue 1 · 11 Feb 2020 · 8,269 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review on Ultra Reliable and Low Latency Communications (PHY and MAC Layer Perspectives)Prinu Chacko Philip, Mohammed Abdel-HafezFifth Generation (5G) wireless network plays major attention in the communication scenario due to the advanced features in data transmission. 5G is designed to overcome the issues, such as data rate, reliability, throughput, latency and capacity in the wireless network domains. The 5G wire-less services aim to increase the data rate through massive communication services. In this survey, well known … …Journal of Computer Science, Vol. 16, Issue 8 · 1 Sep 2020 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantum-Enhanced IoT-Cloud Security: Integrating SHAP and Variational Quantum ClassifiersVeena Antony, Nainan ThangarasuIn the current Internet era, there are now trillions of gadgets online, and the Internet of Things is becoming a necessary part of daily life. IoT devices are connected, but this also makes them vulnerable to cyberattacks. Cyberattacks targeting Internet of Things (IoT) systems have increased dramatically in both volume and sophistication in the last year. Determining the importance and … …Journal of Computer Science, Vol. 21, Issue 1 · 20 Dec 2024 · 4,951 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 abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Monitoring and Injury Risk Warning Algorithm Based on Data Fusion of Motor Muscle ContractionGuomin Wang, Jingying HuangThe existing sports injury warning algorithms are difficult to achieve dynamic injury risk modeling based on individual muscle characteristics while ensuring real-time fusion efficiency of multimodal signals. This article proposes a real-time muscle contraction state perception and injury risk warning algorithm based on adaptive weighted feature fusion and lightweight temporal modeling. The system synchronously collected surface electromyography (sEMG), Inertial Measurement … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 10 Aug 2026 · 1,089 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