Strategies to foster stakeholder engagement in residency coaching: a CFIR-Informed qualitative study across diverse stakeholder groups.

Introduction: Coaching interventions in graduate medical education have proven successful in increasing technical and communication skills, reducing errors, and improving patient care. Effective stakeholder engagement enhances the relevance, value, and long-term sustainability of interventions, yet specific strategies for stakeholder engagement remain uncertain. The purpose of this article is to identify strategies to foster engagement of diverse stakeholder groups in coaching interventions.

Expectation-Maximization enables Phylogenetic Dating under a Categorical Rate Model.

Dating phylogenetic trees to obtain branch lengths in time units is essential for many downstream applications but has remained challenging. Dating requires inferring substitution rates that can change across the tree. While we can assume to have information about a small subset of nodes from the fossil record or sampling times (for fast-evolving organisms), inferring the ages of the other nodes essentially requires extrapolation and interpolation.

Maximum likelihood phylogeographic inference of cell motility and cell division from spatial lineage tracing data.

Motivation: Recently developed spatial lineage tracing technologies induce somatic mutations at specific genomic loci in a population of growing cells and then measure these mutations in the sampled cells along with the physical locations of the cells. These technologies enable high-throughput studies of developmental processes over space and time. However, these applications rely on accurate reconstruction of a spatial cell lineage tree describing both past cell divisions and cell locations.

A region of suppressed recombination misleads neoavian phylogenomics.

Genomes are typically mosaics of regions with different evolutionary histories. When speciation events are closely spaced in time, recombination makes the regions sharing the same history small, and the evolutionary history changes rapidly as we move along the genome. When examining rapid radiations such as the early diversification of Neoaves 66 Mya, typically no consistent history is observed across segments exceeding kilobases of the genome.