Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Brent D. Davis"'
Autor:
Nancy Liu, Rachel A. Plouffe, Jenny J. W. Liu, Maede S. Nouri, Priyonto Saha, Dominic Gargala, Brent D. Davis, Anthony Nazarov, J. Don Richardson
Publikováno v:
European Journal of Psychotraumatology, Vol 15, Iss 1 (2024)
ABSTRACTBackground: Health care workers (HCWs) are among the most vulnerable groups to experience burnout during the coronavirus (COVID-19) pandemic. Understanding the risk and protective factors of burnout is crucial in guiding the development of in
Externí odkaz:
https://doaj.org/article/a3b5504d4d454b6db15d8f807ff109c7
Autor:
Kate St. Cyr, Anthony Nazarov, Tri Le, Maede Nouri, Priyonto Saha, Callista A Forchuk, Vanessa Soares, Sonya G. Wanklyn, Brian M. Bird, Brent D. Davis, Lisa King, Felicia Ketcheson, J. Don Richardson
Publikováno v:
BMC Psychiatry, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Objective Canadian Armed Forces (CAF) members and Veterans are more likely to experience mental health (MH) conditions, such as posttraumatic stress disorder (PTSD), than the general Canadian population. Previous research suggests that an in
Externí odkaz:
https://doaj.org/article/71ea9f2acaf6475788f2e85b31c2cba2
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 3, p 44 (2019)
Existing keyword-based search techniques suffer from limitations owing to unknown, mismatched, and obscure vocabulary. These challenges are particularly prevalent in social media, where slang, jargon, and memetics are abundant. We develop a new techn
Externí odkaz:
https://doaj.org/article/6efef966b39f4ef3b1a0a305025d0107
Autor:
Henian Cao, Arden Lawson, John P. Kane, Robert A. Hegele, Adam D. McIntyre, Irina Movsesyan, Mary J. Malloy, Brent D. Davis, Allison A Dilliott, Clive R. Pullinger, Jacqueline S. Dron, Jian Wang
Publikováno v:
Arteriosclerosis, Thrombosis, and Vascular Biology. 40:1935-1941
Objective: Genetic determinants of severe hypertriglyceridemia include both common variants with small effects (assessed using polygenic risk scores) plus heterozygous and homozygous rare variants in canonical genes directly affecting triglyceride me
Autor:
Jacqueline S, Dron, Allison A, Dilliott, Arden, Lawson, Adam D, McIntyre, Brent D, Davis, Jian, Wang, Henian, Cao, Irina, Movsesyan, Mary J, Malloy, Clive R, Pullinger, John P, Kane, Robert A, Hegele
Publikováno v:
Arteriosclerosis, thrombosis, and vascular biology. 40(8)
Genetic determinants of severe hypertriglyceridemia include both common variants with small effects (assessed using polygenic risk scores) plus heterozygous and homozygous rare variants in canonical genes directly affecting triglyceride metabolism. H
Autor:
Anthony Nazarov, J. Donald Richardson, Brent D. Davis, Kate St. Cyr, Callista forchuk, Renee Hunt
Publikováno v:
MacDonald Franklin OSI Research Centre
European Journal of Psychotraumatology
article-version (VoR) Version of Record
European Journal of Psychotraumatology, Vol 11, Iss 1 (2020)
Psychiatry Publications
European Journal of Psychotraumatology
article-version (VoR) Version of Record
European Journal of Psychotraumatology, Vol 11, Iss 1 (2020)
Psychiatry Publications
Objective Posttraumatic stress disorder (PTSD) and depression substantially impair health-related quality of life (HRQOL) for many Canadian Armed Forces (CAF) veterans. Although PTSD and depression are highly comorbid, little is known about whether t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::626f10fc58540b758cd3edc482f8d634
https://ir.lib.uwo.ca/osircpub/44
https://ir.lib.uwo.ca/osircpub/44
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 3, p 44 (2019)
Big Data and Cognitive Computing
Volume 3
Issue 3
Big Data and Cognitive Computing
Volume 3
Issue 3
Existing keyword-based search techniques suffer from limitations owing to unknown, mismatched, and obscure vocabulary. These challenges are particularly prevalent in social media, where slang, jargon, and memetics are abundant. We develop a new techn
Region-based rare variant association analysis (RVAA) is a popular method to study rare genetic variation in large datasets, especially in the context of complex traits and diseases. Although this method shows great promise in increasing our understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4abd12d69849f7b3196cc66a967c6f6d