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Comprehensive genomic and transcriptomic analyses of the anaerobic degradation of microcystin in Alcaligenes faecalis D04.
Ecotoxicol Environ Saf
January 2025
Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical school, University of South China, Hengyang, Hunan 421001, China. Electronic address:
Microcystin LR (MC-LR) pollution is a serious threat to aquatic ecosystems and public health in China and is an environmental problem that urgently needs to be solved. However, few studies have investigated the anaerobic degradation pathway and related molecular biological mechanisms of MC-LR. In this study, a bacterium capable of degrading MC-LR with a degradation efficiency of 0.
View Article and Find Full Text PDFMotion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising.
Invest Radiol
January 2025
From the Department of Radiology, Stanford University, Stanford, CA (K.W., M.J.M., A.M.L., A.B.S., A.J.H., D.B.E., R.L.B.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA (K.W.); GE HealthCare, Houston, TX (X.W.); GE HealthCare, Boston, MA (A.G.); and GE HealthCare, Menlo Park, CA (P.L.).
Objectives: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conventional single-shot methods suffer from off resonance-induced artifacts like distortion and blurring while cardiovascular motion-induced phase inconsistency leads to quantitative errors and signal loss, limiting its utility. Multishot DWI (msDWI) offers reduced image distortion and blurring relative to single-shot methods but increases sensitivity to motion artifacts. Motion-compensated diffusion-encoding gradients (MCGs) reduce motion artifacts and could improve motion robustness of msDWI but come with the cost of extended echo time, further reducing signal.
View Article and Find Full Text PDFThe artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture.
PLoS One
January 2025
School of Civil and Architectural Engineering, Harbin University, Harbin, China.
This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic. Firstly, the BPNN principles are studied, revealing issues such as sensitivity to initial values, susceptibility to local optima, and sample dependency.
View Article and Find Full Text PDFThe population dynamics of clustered consumer-resource spatial patterns: Insights from the demographics of a Turing mechanism.
Proc Natl Acad Sci U S A
January 2025
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48104.
In ecology, Alan Turing's proposed activation-inhibition mechanism has been abstracted as corresponding to several ecological interaction types to explain pattern formation in ecosystems. Consumer-resource interactions have strong theoretical arguments linking them to both the Turing mechanism and pattern formation, but there is little empirical support to demonstrate these claims. Here, we connect several lines of evidence to support the proposition that consumer-resource interactions can create empirically observed spatial patterns through a mechanism similar to Turing's theory.
View Article and Find Full Text PDFPregnancy and Postpartum Trends in Self-Measured Blood Pressure and Derived Indices: The BOSHI Study.
J Clin Hypertens (Greenwich)
January 2025
Division of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan.
In this study, we aimed to reveal the trends of self-measured blood pressure (SMBP) and SMBP-derived indices during pregnancy and the postpartum period. The Babies and Their Parents Longitudinal Observation in Suzuki Memorial Hospital in the Intrauterine Period (BOSHI) Study is a prospective cohort study in Japan. Participants were instructed to measure SMBP daily during pregnancy and for 1 month after delivery.
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