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http://dx.doi.org/10.1093/occmed/kqj018 | DOI Listing |
J Occup Med Toxicol
January 2025
School of Health Sciences, Department of Audiology, University of the Pacific, San Francisco, California, USA.
Background: Hazardous noise exposure is an important health concern in many workplaces and is one of the most common work-related injuries in the United States. Dental professionals are frequently exposed to high levels of occupational noise in their daily work environment. This noise is generated by various dental handpieces such as drills, suctions, and ultrasonic scalers.
View Article and Find Full Text PDFImplement Sci Commun
January 2025
Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, IL, Chicago, USA.
Background: Studies have demonstrated that standardizing labor induction (IOL), often with the use of protocols, may reduce racial inequities in obstetrics. IOL protocols are complex, multi-component interventions. To target identified implementation barriers, audit and feedback (A&F) was selected as an implementation strategy.
View Article and Find Full Text PDFTrials
January 2025
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, 90 High Holborn, London, WC1V 6LJ, UK.
Need For A Strategic Approach To Knowledge Transfer And Exchange: Late-phase clinical trials and systematic reviews find results that have the potential to improve health outcomes for people. However, there are often delays in these results influencing clinical practice. We developed a knowledge transfer and exchange strategy to support research teams, aiming to identify activities along the research process to maximise and accelerate the research impact.
View Article and Find Full Text PDFBMC Psychol
January 2025
Department of Medical Psychology, Air Force Medical University, Xi'an, China.
Purpose: The purpose of this study was to use the advanced technique of Network Intervention Analysis (NIA) to investigate the trajectory of symptom change associated with the effects of self-control training on youth university students' chronic ego depletion aftereffects.
Methods: The nine nodes of chronic ego depletion aftereffects and integrated self-control training were taken as nodes in the network and analyzed using NIA. Networks were computed at the baseline, at the end of treatment, at 1-, 3-, 6-, 9- and 12-month follow up.
Microbiome
January 2025
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
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