Climate Change Curriculum in a Network of US Family Medicine Residency Programs.

Physicians require climate-related training, but not enough is known about actual or desired training at the graduate medical education level. To quantify the climate curriculum provided within a network of family medicine residency programs in the Northwestern United States, to assess barriers to adoption of climate curricula, and to identify preferred climate-related content, delivery methods, and program actions. In fall 2021, residents and faculty in a family medicine residency network responded to a 25-item, anonymous, online survey about climate-related training within their programs.

Routine stream monitoring data enables the unravelling of hydrological pathways and transfers of agricultural contaminants through catchments.

Catchment-scale understanding of water and contaminant fluxes through all pathways is essential to address land use and climate change impacts on freshwater. However, few options exist to obtain this understanding for the many catchments worldwide for which streamflow and low-frequency water chemistry, but little other data exists. We applied the Bayesian chemistry-assisted hydrograph separation and load partitioning model (BACH) to 47 catchments with widely differing characteristics.

Automated Motor Tic Detection: A Machine Learning Approach.

Background: Video-based tic detection and scoring is useful to independently and objectively assess tic frequency and severity in patients with Tourette syndrome. In trained raters, interrater reliability is good. However, video ratings are time-consuming and cumbersome, particularly in large-scale studies.