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An industrial hygiene exposure database and surveillance system was developed in partnership between National Institute for Occupational Safety and Health (NIOSH)-funded independent investigators and practicing industrial hygienists at the Rocky Flats Environmental Technology Site (RFETS) in Golden, Colo. RFETS is a former U.S. Department of Energy nuclear weapons plant that is now in cleanup phase. This project is presented as a case study in the development of an exposure database and surveillance system in terms that are generalizable to most other industries and work contexts. Steps include gaining organizational support; defining system purpose and scope; defining database elements and coding; planning practical and efficient analysis strategies; incorporating reporting capabilities; and anticipating communication strategies that maximize the probability that surveillance findings will feed back to preventive applications. For each of these topics, the authors describe both general considerations as well as the specific choices made for this system. An important feature of the system is a two-tier task-coding scheme comprising 33 categories of task groups. Examples of grouped analyses of exposure data captured during the system pilot period demonstrate applications to exposure control, medical surveillance, and other preventive measures.
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http://dx.doi.org/10.1080/15428110208984707 | DOI Listing |
Nat Comput Sci
September 2025
Department of Chemical Engineering, Tsinghua University, Beijing, China.
With approximately 90% of industrial reactions occurring on surfaces, the role of heterogeneous catalysts is paramount. Currently, accurate surface exposure prediction is vital for heterogeneous catalyst design, but it is hindered by the high costs of experimental and computational methods. Here we introduce a foundation force-field-based model for predicting surface exposure and synthesizability (SurFF) across intermetallic crystals, which are essential materials for heterogeneous catalysts.
View Article and Find Full Text PDFCardiovasc Intervent Radiol
September 2025
Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: To evaluate predictors of outcomes in colorectal liver metastases (CLM) patients undergoing 90Y radioembolization (TARE), focusing on the impact of tumor absorbed dose.
Materials And Methods: Patients' characteristics and dosimetry assessments were analyzed in 231 patients undergoing 329 TARE sessions from 09/2009 to 07/2023. Response was assessed using RECIST1.
J Med Internet Res
September 2025
Artificial Intelligence and Mathematical Modeling Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Background: The H5N1 avian influenza A virus represents a serious threat to both animal and human health, with the potential to escalate into a global pandemic. Effective monitoring of social media during H5N1 avian influenza outbreaks could potentially offer critical insights to guide public health strategies. Social media platforms like Reddit, with their diverse and region-specific communities, provide a rich source of data that can reveal collective attitudes, concerns, and behavioral trends in real time.
View Article and Find Full Text PDFEcotoxicol Environ Saf
September 2025
Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China. Electronic address:
Background: Prostate cancer (PRAD) is a common malignancy in men, and exposure to soil pollutants may contribute to its development. And exposure to soil pollutant has been linked to its development, as well as to other diseases including cardiovascular disorders, neurological conditions, and additional cancers.
Methods: This study integrates network toxicology, machine learning, and advanced technologies to investigate the mechanisms through which soil pollutants affect prostate cancer.
PLoS One
September 2025
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Objective: This study employs integrated network toxicology and molecular docking to investigate the molecular basis underlying 4-nonylphenol (4-NP)-mediated enhancement of breast cancer susceptibility.
Methods: We integrated data from multiple databases, including ChEMBL, STITCH, Swiss Target Prediction, GeneCards, OMIM and TTD. Core compound-disease-associated target genes were identified through Protein-Protein Interaction (PPI) network analysis.