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A study on the optimal safety speed and warning sign distance for highways in windy and sandy environments based on driving behavior.
Traffic Inj Prev
January 2025
School of Civil and Hydraulic Engineering, NingXia University, YinChuan, China.
Objective: This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions.
Methods: Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation.
Dispersal of Sensu Lato Conidia from Infected Citrus and Strawberry Under Simulated Rainfall and Different Laminar and Turbulent Wind Speeds.
Phytopathology
January 2025
University of Florida, Citrus Research and Education Center, Lake Alfred, Florida, United States.
Species of the complex cause postbloom fruit drop of citrus and anthracnose fruit rot of strawberries. produces acervuli in diseased citrus flowers and strawberry fruit, surviving asymptomatically on vegetative tissues. Previous studies have suggested that dispersal mechanisms other than windblown rain may be involved in dispersal of conidia of sensu lato.
View Article and Find Full Text PDFClassification-based pathway analysis using GPNet with novel P-value computation.
Brief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFRecalibrating Protection Factors Using Millisecond Hydrogen/Deuterium Exchange Mass Spectrometry.
Anal Chem
January 2025
School of Molecular and Cellular Biology and Astbury Centre, University of Leeds, Leeds LS2 9JT, U.K.
Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a powerful technique to interrogate protein structure and dynamics. With the ability to study almost any protein without a size limit, including intrinsically disordered ones, HDX-MS has shown fast growing importance as a complement to structural elucidation techniques. Current experiments compare two or more related conditions (sequences, interaction partners, excipients, conformational states, etc.
View Article and Find Full Text PDFUnraveling Ofloxacin Behavior in Aqueous Environments: Molecular Dynamics of Colloidal Formation and Surface Adsorption Mechanisms.
Langmuir
January 2025
School of Chemical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Ofloxacin, a commonly prescribed antibiotic, raises serious environmental concerns due to its persistence in aquatic systems. This study offers new insights into the environmental behavior of ofloxacin and its interactions with carbon-based adsorbents with the aim of enhancing our understanding of its removal mechanisms via adsorption processes. Using a comprehensive computational approach, we analyzed the speciation, pK values, and solubility of ofloxacin across various pH conditions, accounting for all four microspecies, including the often-overlooked neutral form.
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