How do Early-career Biology Faculty Develop Pedagogical Content Knowledge? Exploring Variation and Longitudinal Development.

Active-learning instructors are more effective when they use pedagogical content knowledge (PCK) to anticipate, interpret, and respond to student thinking. PCK is topic-specific and includes knowledge of student thinking (e.g.

Are Department Heads Ready for Change? Leveraging a Leadership Action Team to Advance Teaching Evaluation Practices.

Teaching evaluation at many institutions is insufficient to support, recognize, and reward effective teaching. We developed a long-term intervention to support science, technology, engineering, and mathematics (STEM) department heads in advancing teaching evaluation practices. We describe the intervention and systematically investigate its impact on departmental practices within a research-intensive university.

Nonopioid vs opioid analgesics after impacted third-molar extractions: The Opioid Analgesic Reduction Study randomized clinical trial.

Background: Opioids are still being prescribed to manage acute postsurgical pain. Unnecessary opioid prescriptions can lead to addiction and death, as unused tablets are easily diverted.

Methods: To determine whether combination nonopioid analgesics are at least as good as opioid analgesics, a multisite, double-blind, randomized, stratified, noninferiority comparative effectiveness trial was conducted, which examined patient-centered outcomes after impacted mandibular third-molar extraction surgery.

Dynamic survival prediction of end-stage kidney disease using random survival forests for competing risk analysis.

Background And Hypothesis: A static predictive model relying solely on baseline clinicopathological data cannot capture the heterogeneity in predictor trajectories observed in the progression of chronic kidney disease (CKD). To address this, we developed and validated a dynamic survival prediction model using longitudinal clinicopathological data to predict end-stage kidney disease (ESKD), with death as a competing risk.

Methods: We trained a sequence of random survival forests using a landmarking approach and optimized the model with a pre-specified prediction horizon of 5 years.

Complete genomes of common bacterial hosts of RNA bacteriophage Φ6.

Bacterial plant pathogens pv. , pv. , pv.