Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Abrahart A"'
Autor:
Suerte, Angely Claire C., Liddle, Lane J., Abrahart, Ashley, Khiabani, Elmira, Colbourne, Frederick
Publikováno v:
Therapeutic Hypothermia & Temperature Management; Dec2024, Vol. 14 Issue 4, p229-242, 14p
Akademický článek
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Autor:
Humphrey, Greer B., Maier, Holger R., Wu, Wenyan, Mount, Nick J., Dandy, Graeme C., Abrahart, Robert J., Dawson, Christian W.
Publikováno v:
In Environmental Modelling and Software June 2017 92:82-106
Autor:
Kalisvaart, Anna C. J., Abrahart, Ashley H., Coney, Alyvia T., Gu, Sherry, Colbourne, Frederick
Publikováno v:
Translational Stroke Research; Dec2023, Vol. 14 Issue 6, p970-986, 17p
Publikováno v:
Translational Stroke Research.
Rising intracranial pressure (ICP) aggravates secondary injury and heightens risk of death following intracerebral hemorrhage (ICH). Long-recognized compensatory mechanisms that lower ICP include reduced cerebrospinal fluid and venous blood volumes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e22fa470ede73fa46b0fa769eede9c4
https://doi.org/10.1007/s12975-022-01102-8
https://doi.org/10.1007/s12975-022-01102-8
Akademický článek
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Autor:
Lane J Liddle, Frederick Colbourne, Anna C J Kalisvaart, Mohammed A. Almekhlafi, Andrew M. Demchuk, Ashley H Abrahart
Publikováno v:
Journal of Neurochemistry. 160:128-144
Therapeutic hypothermia (TH) has applications dating back millennia. In modern history, however, TH saw its importation into medical practice where investigations have demonstrated that TH is efficacious in ischemic insults, notably cardiac arrest an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fed4944723091c59e38d6007a392424
https://doi.org/10.1111/jnc.15508
https://doi.org/10.1111/jnc.15508
Publikováno v:
In Environmental Modelling and Software September 2013 47:29-41
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 7, Pp 2827-2843 (2013)
In this paper the difficult problem of how to legitimise data-driven hydrological models is addressed using an example of a simple artificial neural network modelling problem. Many data-driven models in hydrology have been criticised for their black-
Externí odkaz:
https://doaj.org/article/a85b0d5bcf74453faed47e041dcb85b8
Publikováno v:
Hydrology and Earth System Sciences, Vol 16, Iss 8, Pp 3049-3060 (2012)
When analysing the performance of hydrological models in river forecasting, researchers use a number of diverse statistics. Although some statistics appear to be used more regularly in such analyses than others, there is a distinct lack of consistenc
Externí odkaz:
https://doaj.org/article/0697e276978a4fc38357206635f062b3