Zobrazeno 1 - 10
of 9 279
pro vyhledávání: '"Kori A"'
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0297447 (2024)
BackgroundIllness presenteeism (IP) is the phenomenon where individuals continue to work despite illness. While it has been a prevalent and longstanding issue in medicine, the recent onset of the COVID-19 pandemic and the growing movement to improve
Externí odkaz:
https://doaj.org/article/e502de29b09543b1a1ac337a837bd14b
Autor:
Jennifer M. Klasen, Adisa Poljo, Rosita Sortino, Bryce J. M. Bogie, Zoe Schoenbaechler, Andrea Meienberg, Christian Nickel, Roland Bingisser, Kori A. LaDonna
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
ObjectiveDuring the early stages of the COVID-19 pandemic, medical students were abruptly removed from clinical rotations and transitioned to virtual learning. This study investigates the impact of this shift on students’ wellbeing and preparedness
Externí odkaz:
https://doaj.org/article/a79668b066da47b3b7ed03a0fcc88665
Publikováno v:
Jurnal Pendidikan Matematika, Vol 16, Iss 3, Pp 269-288 (2022)
This study aims to produce valid and practical questions and discover the potential effect of PISA-Like Math Tasks on uncertainty and data content using the COVID-19 context on mathematical literacy skills. The subjects of this study were students in
Externí odkaz:
https://doaj.org/article/ccdd4cd204094e7f82baeb25c452ac51
Autor:
Andrea Yessaillian, BS, Robert Craig Clark, MAS, Rachel Segal, MD, Amanda Gosman, MD, Kori Angers, BS, CSCS, Chris M. Reid, MD
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 1S1, Pp 33-33 (2024)
Externí odkaz:
https://doaj.org/article/a7d59a976a7c4612a8ae853ced2818db
Autor:
Mawardi Mawardi, Rahma Juita, Fadhlurrahman Mawardi, Kori Ariani, Nindia Novari, Irfan Ananda Ismail
Publikováno v:
Kovalen: Jurnal Riset Kimia, Vol 8, Iss 1, Pp 83-91 (2022)
Batanghari River is a river that crosses the Province of West Sumatra and Jambi Province, which flows through the Dharmasraya Regency area. Along this river, many illegal gold mines are found, which use mercury (Hg) as a gold-binding medium, and fuel
Externí odkaz:
https://doaj.org/article/6cdce7cd5c234acc9a5b8f1777d862b4
Publikováno v:
Canadian Medical Education Journal (2023)
Introduction: Although the CanMEDS framework sets the standard for Canadian training, health advocacy competence does not appear to factor heavily into high stakes assessment decisions. Without forces motivating uptake, there is little movement by ed
Externí odkaz:
https://doaj.org/article/670056575c814d03bba0a273def76630
Current causal discovery approaches require restrictive model assumptions or assume access to interventional data to ensure structure identifiability. These assumptions often do not hold in real-world applications leading to a loss of guarantees and
Externí odkaz:
http://arxiv.org/abs/2411.10154
Autor:
Christine E. Gummerson, Brian D. Lo, Kori A. Porosnicu Rodriguez, Zoe L. Cosner, Dylan Hardenbergh, Diana M. Bongiorno, Julia Wainger, Katherine Hu, Charlene Gamaldo, Rachel M. E. Salas, Carlos Romo, Doris G. Leung
Publikováno v:
BMC Medical Education, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background In response to the cancellation of clinical clerkships due to COVID-19, the Johns Hopkins (JH) Neurology Education Team developed a virtual elective to enhance medical students’ clinical telemedicine skills and foster community
Externí odkaz:
https://doaj.org/article/fd9feb436e7d42a9a91ab6ffbcc17fbc
Publikováno v:
International Journal of General Medicine, Vol Volume 14, Pp 3881-3897 (2021)
Manar Mosaad,1 Mohamed Hassan Elnaem,2 Ejaz Cheema,3 Ismail Ibrahim,1 Jamalludin Ab Rahman,4 Ahlam Naila Kori,5 How Soon Hin1 1Department of Internal Medicine, Faculty of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia;
Externí odkaz:
https://doaj.org/article/e7f494f52c954b11b6029539ec2d610f
Large generative models (LMs) are increasingly being considered for high-stakes decision-making. This work considers how such models compare to humans and predictive AI models on a specific case of recidivism prediction. We combine three datasets --
Externí odkaz:
http://arxiv.org/abs/2410.15471