Although norovirus has been identified as the most common cause of gastroenteritis, the majority of cases have no etiologic agent identified. In this study, we describe the optimization of a real-time RT-PCR assay for the improved detection of genogroup I norovirus in patient specimens based upon sequence data from a collection of representative clinical norovirus sequences. The redesigned assay demonstrated a 64 fold increase in sensitivity, a 2 log decrease in the limit of detection, and an 18% increase in amplification efficiency, when compared to the standard assay. The optimized test also detected GI norovirus in clinical specimens that were initially negative by the standard assay. Use of the optimized assay increased the annual positivity of GI norovirus in Iowa from 1.2% to 4.5%, indicating the prevalence of GI norovirus may be higher than previously identified. Laboratory confirmation of the etiologic agent involved in gasteroenteritis cases is essential for better understanding of the prevalence and transmission of noroviruses.
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http://dx.doi.org/10.1016/j.jviromet.2011.04.022 | DOI Listing |
Sci Rep
January 2025
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, 333031, India.
This article examines the potential of blockchain technology to revolutionize the jewelry supply chain by enhancing trust, transparency, and efficiency. Utilizing Ethereum, we developed a blockchain network tailored to the industry's needs. Blockchain operates as a secure, immutable ledger, ensuring data integrity and transparency while preventing fraud and tampering due to its decentralized nature.
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January 2025
Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza, 12677, Egypt.
Due to its enormous influence on system functionality, researchers are presently looking into the issue of task scheduling on multiprocessors. Establishing the most advantageous schedules is often regarded as a difficult-to-compute issue. Genetic Algorithm is a recent tool employed by researchers to optimize scheduling tasks and boost performance, although this field of research is yet mostly unexplored.
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January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
With the rapid development of Internet of Things (IoT) technology, embedded devices in various computer vision scenarios can realize real-time target detection and recognition tasks, such as intelligent manufacturing, automatic driving, smart home, and so on. YOLOv8, as an advanced deep learning model in the field of target detection, has attracted much attention for its excellent detection speed, high precision, and multi-task processing capability. However, since IoT embedded devices typically own limited computing resources, direct deployment of YOLOv8 is a big challenge, especially for real-time detection tasks.
View Article and Find Full Text PDFNo Shinkei Geka
January 2025
Department of Neurosurgery, Tominaga Hospital.
This paper examines advancements in minimally invasive posterior decompression techniques for lumbar degenerative diseases. It focuses on the unilateral approach for bilateral decompression and bilateral approach for contralateral decompression, in which the entry side is determined independently of the symptomatic side to achieve a facet joint preservation rate of ≥ 70%, while also emphasizing contralateral foraminal decompression(CFD). These techniques address spinal instability by minimizing facet joint resection, reducing postoperative instability.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Key Laboratory of Molecular Microbiology and Technology for Ministry of Education, Department of Microbiology, College of Life Sciences, Nankai University, Tianjin 300071, China. Electronic address:
Because the interactions among contaminants may lead to enhanced toxicity, combined pollution caused by the co-presence of multiple contaminants has increasingly gained public concern. p-Nitrophenol (PNP) and 1,2-dichloroethane (1,2-DCA) are frequently co-detected in groundwater. To completely eliminate PNP, 1,2-DCA and intermediates from polluted sites, in this study, a novel degrader KTU-PDG was created by functional assembly of PNP and 1,2-DCA biodegradation pathways in a robust chassis Pseudomonas putida KT2440.
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