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of 1 088
pro vyhledávání: '"E Duggan"'
Autor:
Anne E. Duggan
The original edition of Salonnières, Furies, and Fairies, published in 2005, was a pathbreaking work of early modern literary history, exploring women's role in the rise of the fairy tale and their use of this new genre to carve out roles as major
Autor:
Anne E. Duggan
To the uninitiated, the films of French New Wave director Jacques Demy can seem strange and even laughable, with their gaudy color schemes and sung dialogue. Yet since the late 1990s, a generation of queer filmmakers in France have found new inspirat
Autor:
Jessica S. Fortin, Ashley A. Hetak, Kelsey E. Duggan, Caroline M. Burglass, Hailey B. Penticoff, Harold C. Schott
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Equine pituitary pars intermedia dysfunction (PPID) is a common endocrine disease of aged horses that shows a similar pathophysiology as Parkinson’s Disease (PD) with increased levels of α-synuclein (α-syn). While α-syn is thought to pl
Externí odkaz:
https://doaj.org/article/31b331f9eae4475cb801f4fb07245979
Autor:
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg S. Corrado, Jeffrey Dean
Publikováno v:
npj Digital Medicine, Vol 1, Iss 1, Pp 1-10 (2018)
Artificial intelligence: Algorithm predicts clinical outcomes for hospital inpatients Artificial intelligence outperforms traditional statistical models at predicting a range of clinical outcomes from a patient’s entire raw electronic health record
Externí odkaz:
https://doaj.org/article/a9b3a7cdda6e486cba268a16dc6760b2
Akademický článek
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Autor:
Joseph E. Duggan
Publikováno v:
Games, Vol 11, Iss 1, p 11 (2020)
The Stable Fixtures problem (Irving and Scott (2007)) is a generalized matching model that nests the well-known Stable Roommates, Stable Marriage, and College Admissions problems as special cases. This paper extends a result of the Stable Roommates p
Externí odkaz:
https://doaj.org/article/1546e286d0fa45a384277984dd8d4324
Autor:
E Buckley, A Jonsson, Z Flood, M Lavelle, N Nurdin, P Dowling, E Duggan, N O'Sullivan, C McGreevy, J Duggan, L Kyne, J McCabe
Publikováno v:
Age and Ageing. 50:ii9-ii41
Background Potentially inappropriate medications (PIMs are associated with falls, hospitalisation, and cognitive decline. Few studies have investigated the association between PIMs related to cognitive impairment (PIMCog) and mortality in dementia or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcccc5a896fa9b2aa568c521d8e7e8f8
https://doi.org/10.1093/ageing/afab219.57
https://doi.org/10.1093/ageing/afab219.57
Autor:
A Monaghan, G Jennings, F Xue, S Knight, R Rizzo, J Davis, E Duggan, R A Kenny, R Romero-Ortuño
Publikováno v:
Age and Ageing. 50:ii9-ii41
Background Though age-related muscle loss is traditionally associated with older cohorts, strong evidence suggests a life-spanning precipitation of decreasing muscle mass and strength beginning as early as the fourth decade of life, with established
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52b500d36b0693410975eaa3234a2550
https://doi.org/10.1093/ageing/afab219.123
https://doi.org/10.1093/ageing/afab219.123
Publikováno v:
Age and Ageing. 50:ii9-ii41
Background The Sustained Attention to Response Task (SART) is a standard computer-based cognitive test designed to measure the sustained attention, fundamental for completing tasks that require supervision over time (Robertson et al., 1997). However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::548791b38b6ab6e9a21a92460d3da16a
https://doi.org/10.1093/ageing/afab219.76
https://doi.org/10.1093/ageing/afab219.76
Autor:
S Knight, R Boyle, L Newman, J Davis, R Rizzo, E Duggan, C De Looze, R Whelan, R A Kenny, R Romero-Ortuno
Publikováno v:
Age and Ageing. 50:ii9-ii41
Background Often chronological age is not the most accurate marker of an individual’s health status since ageing is a heterogeneous process across individuals. Machine learning can be used to quantify the relationship between structural brain MRI d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee95d9f1d211c52398c708e6ac4cae15
https://doi.org/10.1093/ageing/afab219.78
https://doi.org/10.1093/ageing/afab219.78