Association between individual occupational noise exposure and overweight/obesity among automotive manufacturing workers in South China. [PDF]
Yu J+7 more
europepmc +1 more source
A Work Systems Hierarchy of Controls: Analysis of Risk Controls Developed by Paramedics
ABSTRACT Background The hierarchy of control (HOC) is a fundamental construct in work health and safety practice and central for employers to manage risk to the health and safety of workers in Australia, to fulfil their legal obligations. The current HOC has been identified as more effective for developing risk controls for physical hazards than for ...
Karen Davies+2 more
wiley +1 more source
Association of Occupational Noise Exposure and Extended High-Frequency Hearing Loss in Young Workers With Normal Hearing. [PDF]
Xue P+8 more
europepmc +1 more source
ABSTRACT Background Online learning has become a popular form of education. Prior to the Covid‐19 pandemic, online learning was mainly associated with higher education, with an incremental growth at the K‐12 level. The pandemic changed this situation rapidly.
Jia Li, Novera Roihan, Matthew McGravey
wiley +1 more source
Purpose Brass‐mesh‐bolus (BMB) has been proposed as an alternative to water‐equivalent bolus due to its ease of setup and conformality to patient contour. In high‐energy beams, BMB can become radioactive and pose a potential exposure risk to therapists from frequent exposure while handling.
Richard C. Mallory+2 more
wiley +1 more source
Association of occupational noise exposure and shift work with non-alcoholic fatty liver disease: a cross-sectional study of male workers in the Chinese automobile manufacturing industry. [PDF]
Zhang J+12 more
europepmc +1 more source
Seafarers' Occupational Noise Exposure and Cardiovascular Risk. Comments to Bolm-Audorff, U.; et al. Occupational Noise and Hypertension Risk: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2020, 17, 6281. [PDF]
David L+4 more
europepmc +1 more source
This study presents a highly reliable gas sensor platform featuring SnO2 nanonetworks functionalized with Au and Pd nanocatalysts. Enhanced stability and optimized performance enable over 99.5% classification accuracy in deep learning, even under extreme conditions.
Yun‐Haeng Cho+15 more
wiley +1 more source