Structural violence as a driver of COVID-19 vaccine hesitancy and low vaccine uptake among people experiencing homelessness in Toronto, Canada: A qualitative study.

Background: People experiencing homelessness are at increased risk of contracting SARS-CoV-2 and of severe complications of COVID-19. Vaccination is promoted as a key strategy to protect against severe illness from SARS-CoV-2 infection, but rates of vaccination among people experiencing homelessness are lower than the general population. Studies suggest lower uptake is a result of vaccine hesitancy, but few theoretically engage with the structural drivers of vaccine hesitancy.

Development and Assessment of an AI-based Machine Learning Model for Predicting Urinary Continence and Erectile Function Recovery after Robotic-Assisted Radical Prostatectomy: Insights from a Prostate Cancer Referral Center.

Introduction: Prostate cancer remains a significant health concern, with radical prostatectomy being a common treatment approach. However, predicting postoperative functional outcomes, particularly urinary continence and erectile function, poses challenges. Emerging artificial intelligence (AI) technologies offer promise in predictive modeling.

Characterising the inconsistency between perceived and actual sleep and its impact upon cognition and mood.

Sleep profoundly influences human behaviour across cognition, affect, and daily experience. This study evaluated how subjective reports and objective measures of sleep capture the interaction between sleep quality and quantity on cognition and affect. We collected subjective sleep reports using the Pittsburgh Sleep Quality Index and objective seven-day actigraphy recordings from 83 participants.