Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness

Autor: Anke S. Baetzner, Rafael Wespi, Yannick Hill, Lina Gyllencreutz, Thomas C. Sauter, Britt-Inger Saveman, Stefan Mohr, Georg Regal, Cornelia Wrzus, Marie O. Frenkel

Publikováno v: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 30, Iss 1, Pp 1-23 (2022)

Abstract Background Adequate training and preparation of medical first responders (MFRs) are essential for an optimal performance in highly demanding situations like disasters (e.g., mass accidents, natural catastrophes). The training needs to be as

Externí odkaz: https://doaj.org/article/a4215427ce21493ca0ef8203fa73eb8d

Losing the Home Field Advantage When Playing Behind Closed Doors During COVID-19: Change or Chance?

Autor: Yannick Hill, Nico W. Van Yperen

Publikováno v: Frontiers in Psychology, Vol 12 (2021)

Due to restrictions against the COVID-19 pandemic, spectators were not allowed to attend soccer matches at the end of the 2019/2020 season. Previous studies suggest that the absence of a home crowd changes the home field advantage in terms of match o

Externí odkaz: https://doaj.org/article/b55f9dbc27c74c87a9262e402b00d453

The Development of Talent in Sports: A Dynamic Network Approach

Autor: Ruud J. R. Den Hartigh, Yannick Hill, Paul L. C. Van Geert

Publikováno v: Complexity, Vol 2018 (2018)

Understanding the development of talent has been a major challenge across the arts, education, and particularly sports. Here, we show that a dynamic network model predicts typical individual developmental patterns, which for a few athletes result in

Externí odkaz: https://doaj.org/article/66cd0e3256564f62883871ebc36d0ab5

Large Language Models Show Human Behavior

Autor: Rik Huijzer, Yannick Hill

Publikováno v: Huijzer, R & Hill, Y 2023 ' Large Language Models Show Human Behavior ' PsyArXiv . https://doi.org/10.31234/osf.io/munc9

Neural networks can approximate any function given sufficiently many hidden units, which implies that they, in theory, can approximate human behavior. Recently, natural language processing has advanced rapidly due to increases in the amount of hidden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3435ebbae078febe8913a8a5e0d3ced0
https://doi.org/10.31234/osf.io/munc9

Nonergodicity in protective factors of resilience in athletes

Autor: Georgios Michelakis, Ruud J. R. Den Hartigh, Simon Barisch, Nico W. Van Yperen, Yannick Hill, Rob R. Meijer

Publikováno v: Hill, Y, Meijer, R R, Yperen, N W V, Michelakis, G, Barisch, S & Hartigh, R J R D 2021, ' Nonergodicity in protective factors of resilience in athletes. ', Sport, Exercise, and Performance Psychology, vol. 10, no. 2, pp. 217-223 . https://doi.org/10.1037/spy0000246
Sport, Exercise, and Performance Psychology, 10(2), 217-223. American Psychological Association
Sport, Excercise and Performance Psychology, 10(2), 217-223. EDUCATIONAL PUBLISHING FOUNDATION-AMERICAN PSYCHOLOGICAL ASSOC

Resilience is a key construct to understand when athletes continue to perform optimally, or when they break down. Although there is consensus that resilience can be conceptualized as a dynamic process, it remains an open question whether studying suc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10aa106f50c3ec2bf815d28033e0280e
https://doi.org/10.1037/spy0000246