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http://dx.doi.org/10.1038/nm0297-136 | DOI Listing |
J Strength Cond Res
December 2024
Human Performance Research and Development, Directorate of Programs, Personnel Support Programs, Canadian Forces Morale and Welfare Services, Government of Canada, Ottawa, Ontario, Canada.
PLoS One
January 2025
Evidence-based Public Health, Centre for International Health Protection, Robert Koch Institute, Berlin, Germany.
Health system resilience is defined as the ability of a system to prepare, manage, and learn from shocks. This study investigates the resilience of the German health system by analysing the system-related factors that supported health care workers, a key building block of the system, during the COVID-19 pandemic. We thematically analysed data from 18 semi-structured interviews with key informants from management, policy and academia, 17 in-depth interviews with health care workers, and 10 focus group discussions with health care workers.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Structural and Molecular Biology, University College London, London, United Kingdom.
Previous studies have highlighted the inherent subjectivity, complexity, and challenges associated with research quality leading to fragmented findings. We identified determinants of research publication quality in terms of research activities and the use of information and communication technologies by employing an interdisciplinary approach. We conducted web-based surveys among academic scientists and applied machine learning techniques to model behaviors during and after the COVID-19 pandemic.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Kobayashi Hospital, 510 Imaichi, Izumo City, Shimane, 693-0001, Japan.
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with aneurysmal subarachnoid hemorrhage (SAH) have been documented. While a predictive model of the non-linear correlation between advanced age and clinical outcome has been reported, no previous model has been validated. Therefore, we created a prediction model of the non-linear correlation between advanced age and clinical outcome by machine learning and validated it using a separate cohort.
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