Publications by authors named "N van Dyk"
Article Synopsis
- This study reviews machine learning research focused on predicting sports-related injuries, analyzing various approaches and their effectiveness.
- Approximately 1,241 studies were identified, narrowing down to 38 relevant ones, primarily centered on football (soccer) and found tree-based methods like Random Forest and XGBoost to be most effective.
- Despite promising predictive performance in some models, clinical applicability is often limited due to small sample sizes and inconsistencies in study methodologies.
This cross-sectional study aims to identify the situational characteristics, ball-carrier technical variables, and recommended techniques associated with performance outcomes in elite women's Rugby Union. Using retrospective video analysis, 43 tackler and ball-carrier technical characteristics for 1500 tackle events in the 2022-23 Women's Six Nations Championship were assessed, considering match situation and performance outcomes. Rate ratio (RR) was determined using propensity rates.
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- The study aimed to analyze and categorize the circumstances surrounding sudden-onset hamstring injuries in professional football players using video footage from matches.
- Researchers reviewed injuries from the Qatar Stars League, focusing on players aged 18 and older, and found that running was the most significant factor, accounting for 86% of the injuries.
- Results revealed that injuries frequently occurred during short sprints (0-10 m) and were often linked to player contact and balance issues, emphasizing the role of pressing actions in a significant percentage of cases.
Article Synopsis
- * Researchers analyzed 1,500 tackles during the 2022-2023 Women's Six Nations Championship and found that only 0.2% of the recommended Tackle Ready techniques were fully completed, with an average of 47% being used.
- * The study highlights the need for improvements in tackle techniques to reduce injury risks, suggesting targeted interventions in coaching and education for women's rugby.
Article Synopsis
- The study discusses AZD3152, a monoclonal antibody created to neutralize SARS-CoV-2 and enhance effectiveness against new variants that can resist other treatments.
- AZD3152 targets a specific part of the virus's spike protein, blocking its ability to bind to human cells and effectively neutralizes various variants, including Omicron, but struggles against certain XBB subvariants.
- In animal trials, AZD3152 helped protect hamsters from severe symptoms and lung issues, and initial human trials suggest it is safe and may offer long-lasting protection against certain strains of COVID-19.