The European Road Safety Decision Support System (roadsafety-dss.eu) is an innovative system providing the available evidence on a broad range of road risks and possible countermeasures. This paper describes the scientific basis of the DSS. The structure underlying the DSS consists of (1) a taxonomy identifying risk factors and measures and linking them to each other, (2) a repository of studies, and (3) synopses summarizing the effects estimated in the literature for each risk factor and measure, and (4) an economic efficiency evaluation instrument (E3-calculator). The DSS is implemented in a modern web-based tool with a highly ergonomic interface, allowing users to get a quick overview or go deeper into the results of single studies according to their own needs.
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http://dx.doi.org/10.1016/j.aap.2018.08.005 | DOI Listing |
Sci Data
December 2024
Slovak University of Technology, Faculty of Informatics and Information Technologies, Bratislava, 842 16, Slovakia.
In this paper, we describe the dataset captured with our proprietary data capture solution mounted on top of a Land Rover Defender vehicle. The captured data are the real data of drives on various Slovak roads. The total dataset consist of almost 33 hours of driving with a automotive grade FPD Link camera with 30 fps and with additional sensors such as high-precision GNSS sensor and modem towards mobile data connectivity LTE and 5 G.
View Article and Find Full Text PDFBJR Open
January 2025
Institute of Health, University of Cumbria, Bowerham Road, Lancaster, LA1 3JD, United Kingdom.
Objectives: To establish a link between radiation dosimetry and disability-adjusted life-years (DALY) with the aim of quantifying the justification of medical exposures.
Methods: The health detriment, defined as lifetime loss of DALY at age of exposure to ionizing radiation for a US-European population was calculated. A simple model of the relationship was fitted to the results.
Am J Kidney Dis
December 2024
Service de Néphrologie, Hémodialyse et Transplantation Rénale, Centre de référence MARHEA, CHRU Brest, Brest, France; Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Brussels, Belgium. Electronic address:
Rationale & Objective: Monoallelic predicted Loss-of-Function (pLoF) variants in IFT140 have recently been associated with an autosomal dominant polycystic kidney disease (ADPKD)-like phenotype. This study sought to enhance the characterization of this phenotype.
Study Design: Case series.
Sci Rep
December 2024
Department of Clinical and Biomedical Sciences, RILD Building, Royal Devon and Exeter Hospital, University of Exeter, Barrack Road, Exeter, EX2 5DW, UK.
A Type 1 Diabetes Genetic Risk Score (T1DGRS) aids diagnosis and prediction of Type 1 Diabetes (T1D). While traditionally derived from imputed array genotypes, Whole Genome Sequencing (WGS) provides a more direct approach and is now increasingly used in clinical and research studies. We investigated the concordance between WGS-based and array-based T1DGRS across genetic ancestries in 149,265 UK Biobank participants using WGS, TOPMed-imputed, and 1000 Genomes-imputed array genotypes.
View Article and Find Full Text PDFSci Total Environ
December 2024
Universidade da Coruña, Water and Environmental Engineering Research Team (GEAMA), Centre for Technological Innovation in Construction and Civil Engineering (CITEEC), Campus de Elviña, 15071, A Coruña, Spain. Electronic address:
The main objective of this paper is to analyze, through a unique large-scale modeling facility, the RDS wash-off under various scenarios of intense rainfall and high RDS masses. A 1:1 scale physical modeling facility was used to allow precise measurement of the RDS wash-off phenomenon under two different rainfall intensities (30/50 mm/h) and three initial RDS masses (100/150/200 g/m). The accumulated and discharged masses of RDS in the different components of the modeling facility (roadway/RW, gully pot/GP and manhole/MH) were collected at the end of the wash-off simulations.
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