Who is coming in? Evaluation of physician performance within multi-physician emergency departments.

Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.

Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.

Treatment of Established Chemotherapy-Induced Neuropathy with N-Palmitoylethanolamide: A Randomized, Double-Blind Phase II Pilot Study.

Chemotherapy-induced peripheral neuropathy (CIPN) from oxaliplatin and taxane drugs is a bothersome toxicity. Palmitoylethanolamide (PEA) has been reported to improve myelinated nerve fiber function in patients experiencing painful CIPN. We conducted a double-blind, placebo-controlled, randomized trial of PEA in patients with established CIPN.

Trp residues near peptide termini enhance the membranolytic activity of cationic amphipathic α-helices.

KIA peptides were designed as a series of cationic antimicrobial agents of different lengths, based on the repetitive motif [KIAGKIA]. As amphiphilic helices, they tend to bind initially to the surface of lipid membranes. Depending on the conditions, they are proposed to flip, insert and form toroidal pores, such that the peptides are aligned in a transmembrane orientation.

Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates.

Predicting phenotypes from a combination of genetic and environmental factors is a grand challenge of modern biology. Slight improvements in this area have the potential to save lives, improve food and fuel security, permit better care of the planet, and create other positive outcomes. In 2022 and 2023 the first open-to-the-public Genomes to Fields (G2F) initiative Genotype by Environment (GxE) prediction competition was held using a large dataset including genomic variation, phenotype and weather measurements and field management notes, gathered by the project over nine years.