Real-World Evaluation of i-gel Introduction on Intraoperative Airway-Related Safety Events: A Retrospective Cohort Study From a New England Hospital Network.

Background: Several health care networks have fully adopted second-generation supraglottic airway (SGA) i-gel. Real-world evidence of enhanced patient safety after such practice change is lacking. We hypothesized that the implementation of i-gel compared to the previous LMA®-Unique™ would be associated with a lower risk of airway-related safety events.

Testing the effect of ecolabels on the environmental impact of food purchases in worksite cafeterias: a randomised controlled trial.

Background: Reducing the environmental impact of foods consumed is important for meeting climate goals. We aimed to conduct a randomised controlled trial to test whether ecolabels reduce the environmental impact of food selected in worksite cafeterias, alone or in combination with increased availability of more sustainable meal options.

Methods: Worksite cafeterias (n = 96) were randomised to one of three study groups, with 54 included for final analysis.

TDP43 autoregulation gives rise to dominant negative isoforms that are tightly controlled by transcriptional and post-translational mechanisms.

The nuclear RNA-binding protein TDP43 is integrally involved in the pathogenesis of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). Previous studies uncovered N-terminal TDP43 isoforms that are predominantly cytosolic in localization, prone to aggregation, and enriched in susceptible spinal motor neurons. In healthy cells, however, these shortened (s)TDP43 isoforms are difficult to detect in comparison to full-length (fl)TDP43, raising questions regarding their origin and selective regulation.

Implementation of Stochastic Gradient Descent in an Automated Glow Peak Identification Software for Multiple Thermoluminescent Dosimeter Types.

A glow-curve analysis code was previously developed in C++ to analyze thermoluminescent dosimeter glow curves using automated peak detection while a first-order kinetics model. A newer version of this code was implemented to improve the automated peak detection and curve fitting models. The Stochastic Gradient Descent Algorithm was introduced to replace the prior approach of taking first and second-order derivatives for peak detection.