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Spatiotemporal crash outliers are also noteworthy: evidence from 13 years of pedestrian-vehicle crashes in North Carolina.
Inj Prev
January 2025
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Introduction: Previous research usually focused on high-frequency crash clusters (surrounded by high-frequency crashes), which overlooked outlier locations where high-frequency crashes were surrounded by low-frequency crashes. Neglecting spatiotemporal outliers might overlook critical factors for safety improvements.
Methods: Using pedestrian-vehicle crash data in North Carolina from 2007 to 2019, this study proposes an enhanced spatiotemporal analysis framework (combined with Approximate Nearest Neighbour and the Global Moran I index) to distinguish spatiotemporal crash outliers from aggregated/dispersed patterns.
Novel insights into high-order dispersion and soliton dynamics in optical fibers via the perturbed Schrödinger-Hirota equation.
Sci Rep
December 2024
College of Computer Science, Chengdu University, Chengdu, 610106, China.
This study offers a comprehensive analysis of the Perturbed Schrödinger -Hirota Equation (PSHE), crucial for understanding soliton dynamics in modern optical communication systems. We extended the traditional Nonlinear Schrödinger Equation (NLSE) to include higher-order nonlinearities and spatiotemporal dispersion, capturing the complexities of light pulse propagation. Employing the modified auxiliary equation method and Adomian Decomposition Method (ADM), we derived a spectrum of exact traveling wave solutions, encompassing exponential, rational, trigonometric, and hyperbolic functions.
View Article and Find Full Text PDFSpatiotemporal distributions, co-occurrence networks, and assembly mechanisms of the bacterial community in sediments of the Yangtze River: comprehensive insights into abundant and rare taxa.
Front Microbiol
December 2024
College of Water Sciences, Beijing Normal University, Beijing, China.
Sediments are key reservoirs for rare bacterial biospheres that provide broad ecological services and resilience in riverine ecosystems. Compared with planktons, there is a lack of knowledge regarding the ecological differences between abundant and rare taxa in benthic bacteria along a large river. Here, we offer comprehensive insights into the spatiotemporal distributions, co-occurrence networks, and assembly processes of three divided categories namely always rare taxa (ART), conditionally rare taxa (CRT), and conditionally rare and abundant taxa (CRAT) in sediments covering a distance of 4,300 km in the Yangtze River.
View Article and Find Full Text PDFTraveling wave chemotaxis of neutrophil-like HL-60 cells.
Mol Biol Cell
December 2024
Graduate School of Arts and Sciences, The University of Tokyo, Komaba, Meguro-ku, Tokyo 153-8902, Japan.
The question of how changes in chemoattractant concentration translate into the chemotactic response of immune cells serves as a paradigm for the quantitative understanding of how cells perceive and process temporal and spatial information. Here, using a microfluidic approach, we analyzed the migration of neutrophil-like HL-60 cells to a traveling wave of the chemoattractants fMLP and leukotriene B4 (LTB4). We found that under a pulsatile wave that travels at a speed of 95 and 170 µm/min, cells move forward in the front of the wave but slow down and randomly orient at the back due to temporal decrease in the attractant concentration.
View Article and Find Full Text PDFSpatiotemporal modeling of long-term PM concentrations and population exposure in Greece, using machine learning and statistical methods.
Sci Total Environ
December 2024
Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece. Electronic address:
Article Synopsis
- The study addresses the lack of high-resolution, long-term PM (particulate matter) data in Greece and the Eastern Mediterranean by developing a national spatial modeling approach that integrates various data sources for more accurate health exposure estimates.* -
- A 1 km gridded dataset of PM concentrations from 2015 to 2022 was created, with Random Forest models showing the best predictive performance, particularly revealing winter months had the highest PM levels due to residential biomass burning.* -
- The findings indicate that the Greek population is consistently exposed to PM concentrations above WHO guidelines, particularly in Central and Northern regions, highlighting an urgent need for targeted measures to improve air quality.*
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