Objective: Dynamic measures of team adaptation based in team cognition theory and the measurement of real-time team cognition are developed. The present study examines the validity and context-specificity of this measurement framework for simulation-based team training.
Background: Teams adapt by reorganizing their coordination behavior to overcome challenges in dynamic environments.
Background: Personal protective equipment (PPE) doffing protocols can reduce risks of pathogen self-contamination. Powered air purifying respirators (PAPRs) may increase these risks. This study compares viral contamination and errors during simulated doffing of single layer vs double layer hood PAPRs.
View Article and Find Full Text PDFThis review will discuss heart failure, introduce a new drug finerenone, and discuss clinical studies with a focus on its effects on heart failure. Heart failure is a condition or syndrome characterized by an impairment of the pumping ability of the heart, thus no longer keeping up with the demands of the body. There are several types of heart failure; among them are heart failure with reduced ejection fraction, with mildly reduced ejection fraction and with preserved ejection fraction.
View Article and Find Full Text PDFPancreatic ductal adenocarcinoma (PDAC) displays a high degree of spatial subtype heterogeneity and co-existence, linked to a diverse microenvironment and worse clinical outcome. However, the underlying mechanisms remain unclear. Here, by combining preclinical models, multi-center clinical, transcriptomic, proteomic, and patient bioimaging data, we identify an interplay between neoplastic intrinsic AP1 transcription factor dichotomy and extrinsic macrophages driving subtype co-existence and an immunosuppressive microenvironment.
View Article and Find Full Text PDFMotivation: Permutation-based significance thresholds have been shown to be a robust alternative to classical Bonferroni significance thresholds in genome-wide association studies (GWAS) for skewed phenotype distributions. The recently published method permGWAS introduced a batch-wise approach to efficiently compute permutation-based GWAS. However, running multiple univariate tests in parallel leads to many repetitive computations and increased computational resources.
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