This paper provides an outline of the Advanced REACH Tool (ART) version 1.0 and a discussion of how it could be further developed. ART is a higher tier exposure assessment tool that combines mechanistically modelled inhalation exposure predictions with available exposure data using a Bayesian approach. ART assesses exposure for scenarios across different plants and sites. Estimates are provided for different percentiles of the exposure distribution and confidence intervals around the estimate. It also produces exposure estimates in the absence of data, but uncertainty of the estimates will decrease when results of exposure measurements are included. The tool has been calibrated using a broad range of exposure data and provides estimates for exposure to vapours, mists, and dusts. ART has a robust and stable conceptual basis but will be refined in the future and should therefore be considered an evolving system. High-priority areas for future research are identified in this paper and include the integration of partially analogous measurement series, inclusion of company and site-specific assessments, user decision strategies linked to ART predictions, evaluation of validity and reliability of ART, exploring the possibilities for incorporating the dermal route and integration of ART predictions with tools for modelling internal dose. ART is initially developed in the scope of REACH but is equally useful for exposure assessment in other areas.
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http://dx.doi.org/10.1093/annhyg/mer094 | DOI Listing |
Acad Radiol
January 2025
Department of Radiology, University Hospital Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany (R.D., J.M.B., B.S., J.M., S.G., P.K., S.W., J.H., K.N., S.A., A.B.).
Rationale And Objectives: Photon Counting CT (PCCT) offers advanced imaging capabilities with potential for substantial radiation dose reduction; however, achieving this without compromising image quality remains a challenge due to increased noise at lower doses. This study aims to evaluate the effectiveness of a deep learning (DL)-based denoising algorithm in maintaining diagnostic image quality in whole-body PCCT imaging at reduced radiation levels, using real intraindividual cadaveric scans.
Materials And Methods: Twenty-four cadaveric human bodies underwent whole-body CT scans on a PCCT scanner (NAEOTOM Alpha, Siemens Healthineers) at four different dose levels (100%, 50%, 25%, and 10% mAs).
Trends Cogn Sci
January 2025
Department of Psychology, Biological Psychology, University of Cologne, Cologne, Germany. Electronic address:
Multi-line electronic gambling machines (EGMs) are strongly associated with problem gambling. Dopamine (DA) plays a central role in substance-use disorders, which share clinical and behavioral features with disordered gambling. The structural design features of multi-line EGMs likely lead to the elicitation of various dopaminergic effects within their nested anticipation-outcome structure.
View Article and Find Full Text PDFExp Cell Res
January 2025
Cardiovascular Center, College of Medicine, University of Cincinnati, Ohio-45267, United States of America; School of Chemical and Biotechnology, SASTRA Deemed University, Tirumalaisamudram, Thanjavur-613401, Tamil Nadu, India. Electronic address:
Multiple forms of cell death contribute significantly to cardiovascular pathologies, negatively impacting cardiac remodeling and leading to heart failure. While myocardial cell death has been associated with PM induced cardiotoxicity, the temporal dynamics of various cell death forms, such as apoptosis, ferroptosis, necroptosis, and pyroptosis, in relation to inflammatory processes, remain underexplored. This study examines the time-dependent onset and progression of these cell death pathways in the myocardium and their correlation with inflammation in a Wistar rat model.
View Article and Find Full Text PDFFertil Steril
January 2025
Division of Reproductive Endocrinology & Infertility, University of California, San Francisco.
Objective: To study measures of endothelial health, cardiovascular risk, and cellular aging between PCOS patients and a reproductive age normative cohort.
Design: Cross-sectional study.
Subjects: Community-based PCOS patients and a normative ovarian aging cohort as controls, aged 45 or younger at the time of evaluation.
Environ Res
January 2025
Department of Civil, Environmental, & Architectural Engineering, Worcester Polytechnic Institute, Worcester, MA, United States. Electronic address:
The growing impact of climate change and escalating wildfire seasons has led to heightened ambient air pollution, potentially affecting children's sleep health. However, current epidemiological research often relies on outdoor weather data to model the environmental impacts on sleep health, potentially mischaracterizing the actual bedroom environment. To address these challenges, we conducted experiments to investigate the relationships among ambient, indoor, and personal exposure to PM concentrations and obstructive sleep apnea (OSA) in children.
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