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Equine piroplasmosis in different geographical areas in France: Prevalence heterogeneity of asymptomatic carriers and low genetic diversity of Theileria equi and Babesia caballi.
Ticks Tick Borne Dis
January 2025
INRAE, Oniris, BIOEPAR, 44300 Nantes, France. Electronic address:
Equine piroplasmosis is a worldwide tick-borne disease caused by the parasites Theileria equi sensu lato and Babesia caballi, with significant economic and sanitary consequences. These two parasites are genetically variable, with a potential impact on diagnostic accuracy. Our study aimed to evaluate the frequency of asymptomatic carriers of these parasites in France and describe the circulating genotypes.
View Article and Find Full Text PDFAdvances and Challenges in Speciation Measurement and Microkinetic Modeling for Gas-Solid Heterogeneous Catalysis.
J Phys Chem A
January 2025
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
Microkinetic modeling of heterogeneous catalysis serves as an efficient tool bridging atom-scale first-principles calculations and macroscale industrial reactor simulations. Fundamental understanding of the microkinetic mechanism relies on a combination of experimental and theoretical studies. This Perspective presents an overview of the latest progress of experimental and microkinetic modeling approaches applied to gas-solid catalytic kinetics.
View Article and Find Full Text PDFIndividual differences elucidate the perceptual benefits associated with robust temporal fine-structure processing.
Proc Natl Acad Sci U S A
January 2025
Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA 15213.
Article Synopsis
- The auditory system can precisely track quick changes in sound, but the importance of this ability (temporal fine structure or TFS) for hearing is still debated.
- Researchers studied 200 participants to see how TFS sensitivity affects speech perception in noisy environments.
- Results showed that better TFS sensitivity helped more with listening in reverberant spaces and led to quicker responses, suggesting it plays a key role in everyday hearing experiences.
D3-ImgNet: A Framework for Molecular Properties Prediction Based on Data-Driven Electron Density Images.
J Phys Chem A
January 2025
Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang 110819, China.
Artificial intelligence technology has introduced a new research paradigm into the fields of quantum chemistry and materials science, leading to numerous studies that utilize machine learning methods to predict molecular properties. We contend that an exemplary deep learning model should not only achieve high-precision predictions of molecular properties but also incorporate guidance from physical mechanisms. Here, we propose a framework for predicting molecular properties based on data-driven electron density images, referred to as D3-ImgNet.
View Article and Find Full Text PDFTXSELECT: a web-based decision support system for regional assessment of potential loads using a spatially explicit approach.
J Environ Sci Health A Tox Hazard Subst Environ Eng
January 2025
Department of Agricultural Sciences, Clemson University, Clemson, South Carolina, USA.
Bacterial source characterization and allocation are imperative to watershed planning and identifying best management practices. The Spatially Explicit Load Enrichment Calculation Tool (SELECT) has been extensively utilized in watershed protection plans to evaluate the potential bacteria loads and sources in impaired watersheds. However, collecting data, compiling inputs, and spatially mapping sources can be arduous, time-intensive, expensive, and iterative until potential bacteria loads are appropriately allocated to sources based on stakeholder recommendations.
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