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The increased frequency of rainfall-triggered geohazards has led to more disruptions of transportation networks in recent years. This study proposes an integrated framework for resilience assessment of transportation networks, where the highway disruption scenarios are simulated using a traffic model and a developed geohazard threat model based on real-world datasets. In the framework, we provide a resilience-oriented indicator that integrates traffic flow and geohazard threat, upon which to identify critical elements of the highway network and the geohazard-prone sites. To enhance the performance of the highway network under disruptions, we design multiple strategies including reinforcing highway segments and preventing potential geohazards. We apply the proposed approach to a realistic case study of the highway network of Shaanxi province in China. The results of the analysis demonstrate the validity and reliability of the resilience-oriented indicator, and illustrate that a mixture of reinforcement strategies provides better improvement in system performance under scenarios with different traffic demand level.
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http://dx.doi.org/10.1111/risa.70014 | DOI Listing |
Nat Methods
September 2025
Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
Volume correlative light and electron microscopy (vCLEM) is a powerful imaging technique that enables the visualization of fluorescently labeled proteins within their ultrastructural context. Currently, vCLEM alignment relies on time-consuming and subjective manual methods. This paper presents CLEM-Reg, an algorithm that automates the three-dimensional alignment of vCLEM datasets by leveraging probabilistic point cloud registration techniques.
View Article and Find Full Text PDFJ Safety Res
September 2025
Institute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Introduction: The continuous progression of autonomous driving technology is propelling the automotive industry into an unprecedented era, with the intelligence and driving safety capabilities of autonomous vehicles serving as crucial benchmarks for assessing industry development. However, crashes involving autonomous vehicles have raised concerns among both government authorities and the general public regarding this technology. Consequently, conducting a comprehensive analysis of crash causes and key causal factors holds immense significance for technological progress, personnel safety, and shaping the future direction of the automotive industry.
View Article and Find Full Text PDFJ Safety Res
September 2025
Operations Analysis and Essential Data, TriMet, United States.
Unlabelled: Recent research highlights significant shifts in travel patterns, traffic volumes, and safety measures due to the COVID-19 pandemic. Early findings suggest a nationwide decrease in crashes (22.0%) and injuries (16.
View Article and Find Full Text PDFBiomed Mater
September 2025
School of Chemical, Materials and Biological Engineering, The University of Sheffield, Pam Liversidge Building, Mappin Street, Sheffield, S1 3JD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
A key challenge in bone tissue engineering (BTE) is designing structurally supportive scaffolds, mimicking the native bone matrix, yet also highly porous to allow nutrient diffusion, cell infiltration, and proliferation. This study investigated the effect of scaffold interconnectivity on human bone marrow stromal cell (BMSC) behaviour. Highly interconnected, porous scaffolds (polyHIPEs) were fabricated using the emulsion templating method from 2-ethylhexyl acrylate/isobornyl acrylate (IBOA) and stabilised with ~200 nm IBOA particles.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
Research Institute for Applied Mechanics, Kyushu University, Japan.
Effective reduction of oceanic plastic pollution requires scalable and objective monitoring methods that go beyond traditional human-based surveys. This review synthesizes recent advances in remote sensing and AI-driven image analysis for detecting macro-plastic litter. Peer-reviewed studies published up to 2024 were systematically selected from the Scopus database, focusing on applications of remote sensing platforms including webcams, drones, balloons, aircraft, and satellites for monitoring plastic litter in coastal, riverine, and other aquatic environments.
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