Diversity of Trauma and Orthopaedic Trainees and Workplace Culture of Orthopaedic Training in the United Kingdom: Insights From the 2022 British Orthopaedic Trainee Association (BOTA) Census.

The British Orthopaedic Trainee Association (BOTA) conducted its latest census in 2022 of its membership. The results of wellbeing, diversity, equity, inclusion and bullying are discussed here. This highlighted several key focuses for improvement.

Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model.

Enhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and the salp swarm optimization (SSO) for hyperparameter tuning based on driving behavior. The proposed model achieves an accuracy of 92%, a precision of 91%, a recall of 93%, and an F1-score of 92%, significantly outperforming traditional machine learning models such as XGBoost, CatBoost, and Support Vector Machines.

The Continued Implementation and Perceived Impact of an Elementary School Wellness Policy After Extended COVID-19-Related School Closures.

Background: Schools play a key role in children's health. Following COVID-19, programs that promote students' well-being are needed more than ever. This study examines the continuation of a wellness initiative in Anchorage, Alaska, in the 2021-2022 school year.

Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy.

Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring the critical importance of early detection in mitigating its impact. Addressing this challenge head-on, this study introduces an innovative deep learning framework tailored for DR diagnosis. The proposed framework utilizes the EfficientNetB0 architecture to classify diabetic retinopathy severity levels from retinal images.