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Three-dimensional convolutional neural network for leak detection and localization in smart water distribution systems.
Water Res X
December 2024
Professor, Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ 85721, USA.
Smart meters such as advanced metering infrastructure (AMI) can significantly improve identifying realistic sized leaks in water distribution networks (WDNs). However, to date, detection/localization methods for AMI systems are extremely limited. In this study, to examine the benefits of using AMIs for leak detection within distribution network, a three-dimensional (3D) convolutional neural network (CNN) deep learning (DL) model is proposed that can account for temporally and spatially distributed information of pressures.
View Article and Find Full Text PDFEstablishing quality assurance for COVID-19 antigen tests in the Indo Pacific Region: A multi-site implementation study.
Diagn Microbiol Infect Dis
December 2024
Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Victoria, 3000, Australia; Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Victoria, 3000, Australia.
Background: Quality assurance programs (QAPs) are used to evaluate the analytical quality of a diagnostic test and provide feedback to improve quality processes in testing. Rapid diagnostic tests were used in both laboratory and non-laboratory settings to diagnose COVID-19, although varied in reported performance. We aimed to design and implement a QAP for antigen rapid diagnostic tests (Ag-RDTs) for COVID-19 in Cambodia, Lao PDR, and Papua New Guinea.
View Article and Find Full Text PDFThe purpose of this study was to understand the molecular phenotypes of adipose-derived stem cells (ASCs) and vaginal fibroblasts (VFBs) and whether pelvic organ prolapse (POP) affects their biological properties. We performed RNA sequencing of paired ASCs and VFBs from six patients with POP and six controls (CTRL). The transcriptomes of POP and CTRL in either ASCs or VFBs were compared (DESeq2, false discovery rate (FDR) < 0.
View Article and Find Full Text PDFExtending breast cancer screening beyond age 45-64 years in China: a cost-effectiveness analysis.
Cancer Lett
January 2025
Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address:
The optimal breast cancer (BC) screening age in China remains uncertain. In this study, we evaluated the benefits, harms, and cost-effectiveness of lowering the screening starting age from 45 to 35 years and extending the stopping age from 64 to 79 years in Chinese women at an average risk of progressing BC. Biennial screening showed a lower incremental cost-effectiveness ratio (ICER) compared to annual screening.
View Article and Find Full Text PDFEvaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit.
Neuroradiology
January 2025
Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, Jiangsu, China.
Purpose: We aimed to validate a clinically available artificial intelligence (AI) model to assist general radiologists in the detection of intracranial aneurysm (IA) in a multi-reader multi-case (MRMC) study, and to explore its performance in routine clinical settings.
Methods: Two distinct cohorts of head CT angiography (CTA) data were assembled to validate an AI model. Cohort 1, comprising gold-standard consecutive CTA cases, was used in an MRMC study involving six board-certified general radiologists.
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