Universal Masking in Health Care Settings.

Ann Intern Med

Disability Policy Consortium, Boston, Massachusetts.

Published: December 2023

Download full-text PDF

Source
http://dx.doi.org/10.7326/L23-0350DOI Listing

Publication Analysis

Top Keywords

universal masking
4
masking health
4
health care
4
care settings
4
universal
1
health
1
care
1
settings
1

Similar Publications

Optimizing Masks and Random Screening Test Usage within K-12 Schools.

MDM Policy Pract

January 2025

Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA.

Unlabelled: COVID-19 tremendously disrupted the global health system. People of all ages were at risk of becoming infected. Frequent school closures raised concerns about both the physical and mental health of school-age children.

View Article and Find Full Text PDF

The hydrolysis of proteins by proteases (proteolysis) plays a significant role in biology and food science. Despite the importance of proteolysis, a universal quantitative model of this phenomenon has not yet been created. This review considers approaches to modeling proteolysis in a batch reactor that take into account differences in the hydrolysis of the individual peptide bonds, as well as the limited accessibility (masking) for the enzymes of some hydrolysis sites in the protein substrate.

View Article and Find Full Text PDF

Objective: To conduct a systematic review on the masking ability of subtractively and additively manufactured dental ceramics.

Materials And Methods: The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The electronic search was carried out through MEDLINE, Scopus, and Website of Science databases with a date restriction being from 2001 onwards.

View Article and Find Full Text PDF

STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model.

Brief Bioinform

November 2024

Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China.

Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.

View Article and Find Full Text PDF

Background: Rural School Support Strategies (RS3) is a bundle of implementation supports (including training, technical assistance, and a virtual learning collaborative) designed for the scale-up of universal prevention initiatives. This study addresses mechanisms of action, exploring whether positive effects of RS3 on implementation fidelity are attributable to improvements in functioning of school implementation teams, and increases in organizational readiness.

Methods: Data are from a cluster-randomized hybrid Type 3 implementation-effectiveness trial of RS3 among rural Idaho schools implementing Positive Behavioral Interventions and Supports (PBIS).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!