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Deep learning-based image domain reconstruction enhances image quality and pulmonary nodule detection in ultralow-dose CT with adaptive statistical iterative reconstruction-V.
Eur Radiol
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Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
Objectives: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) with adaptive statistical iterative reconstruction-V (ASiR-V) post-processed using a deep learning image reconstruction (DLIR)-based image domain compared to low-dose CT (LDCT) and ULDCT without DLIR.
Materials And Methods: A total of 210 patients undergoing lung cancer screening underwent LDCT (mean ± SD, 0.81 ± 0.
#PorkandPigs: an online media listening analysis of public perception of the U.S. swine industry.
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Department of Agricultural Economics, Purdue University, West Lafayette, IN 47907, USA.
With the majority of the U.S. swine industry being generally bounded by social licensing, there is a growing need to understand social perspectives to better adapt to consumer demands.
View Article and Find Full Text PDFA review on the potential use of bismuth nanoparticles in oral health.
Microb Pathog
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Department of Medical Laboratory Technics, College of Health and Medical Technology, Alnoor University, Mosul, Iraq. Electronic address:
According to many investigations, persistent oral infections may be caused by oral pathogenic biofilms. Irritation of soft tissues and subsequent bone resorption due to bacterial biofilm contamination of the implant further worsen oral health. Dental problems may be effectively treated using metal nanoparticles (NPs) because they limit the development of many different types of bacteria.
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Sci Rep
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Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum, 43518, Egypt.
In order to solve the optimal power flow (OPF) problem, a unique algorithm based on a search and rescue method is applied in this study. For the OPF problem under three objective functions, the SAR offers a straightforward and reliable solution. The three objective functions are used to minimize the fuel cost, power loss and voltage deviation as a single objective function.
View Article and Find Full Text PDFAn Optimized Method for Reconstruction of Transcriptional Regulatory Networks in Bacteria Using ChIP-exo and RNA-seq Datasets.
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School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Transcriptional regulatory networks (TRNs) in bacteria are crucial for elucidating the mechanisms that regulate gene expression and cellular responses to environmental stimuli. These networks delineate the interactions between transcription factors (TFs) and their target genes, thereby uncovering the regulatory processes that modulate gene expression under varying environmental conditions. Analyzing TRNs offers valuable insights into bacterial adaptation, stress responses, and metabolic optimization from an evolutionary standpoint.
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