Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Yee, Tai"'
Autor:
Katherine R Martin, Cristina Gamell, Tsin Yee Tai, Roberto Bonelli, Jacinta Hansen, James Tatoulis, Monther Alhamdoosh, Nicholas Wilson, Ian Wicks
Publikováno v:
Clinical & Translational Immunology, Vol 13, Iss 2, Pp n/a-n/a (2024)
Abstract Objectives Systemic inflammatory response syndrome (SIRS) is a frequent complication of cardiopulmonary bypass (CPB). SIRS is associated with significant morbidity and mortality, but its pathogenesis remains incompletely understood, and as a
Externí odkaz:
https://doaj.org/article/74f7dad3be0b48ef8e71df04c0bc00ec
Publikováno v:
Digital Chemical Engineering, Vol 9, Iss , Pp 100123- (2023)
The increasing demand for net zero solutions has prompted the exploration of electrochemical CO2 reduction reaction (eCO2RR) systems powered by renewable energy sources. Here, we present a comprehensive AI-enabled framework for the adaptive optimisat
Externí odkaz:
https://doaj.org/article/cc889ff096644d7f8aad1b93275f31aa
Autor:
Katherine A. Monaghan, Alberta Hoi, Cristina Gamell, Tsin Yee Tai, Bryan Linggi, Jarrat Jordan, Matteo Cesaroni, Takahiro Sato, Milica Ng, Shereen Oon, Jacqueline Benson, Ian Wicks, Eric Morand, Nicholas Wilson
Publikováno v:
iScience, Vol 26, Iss 7, Pp 107173- (2023)
Summary: Systemic lupus erythematosus (SLE) is an autoimmune disease with significant morbidity and mortality. Type I interferon (IFN) drives SLE pathology and plasmacytoid dendritic cells (pDCs) are potent producers of IFN; however, the specific eff
Externí odkaz:
https://doaj.org/article/eb8684484db641f3996c7933c3238670
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background The malaria risk prediction is currently limited to using advanced statistical methods, such as time series and cluster analysis on epidemiological data. Nevertheless, machine learning models have been explored to study the comple
Externí odkaz:
https://doaj.org/article/d1b970a051954965bb765da204eeae18
Autor:
Kah Yee Tai, Jasbir Dhaliwal
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-22 (2022)
Abstract In recent malaria research, the complexity of the disease has been explored using machine learning models via blood smear images, environmental, and even RNA-Seq data. However, a machine learning model based on genetic variation data is stil
Externí odkaz:
https://doaj.org/article/a17e8c05a50c4d36a3413c328aca80be
Publikováno v:
Malaria Journal, Vol 21, Iss 1, Pp 1-13 (2022)
Abstract Background The malaria risk analysis of multiple populations is crucial and of great importance whilst compressing limitations. However, the exponential growth in diversity and accumulation of genetic variation data obtained from malaria-inf
Externí odkaz:
https://doaj.org/article/0642e3d874964f6a878448d0c6a38ab1
Autor:
Daniel G. Donner, Jason E. Bloom, Waled A. Shihata, Aascha A. Brown, Rosalind Cook, Tsin Yee Tai, Gavin W. Lambert, Po-Yin Chu, William Chan, Dion Stub, Bing H. Wang, David M. Kaye
Publikováno v:
Resuscitation Plus, Vol 11, Iss , Pp 100292- (2022)
Background: Adrenaline is routinely administered during cardiac arrest resuscitation. Using a novel murine model of cardiac arrest, this study evaluates the effects of adrenaline use on survival and end-organ injury. Methods: A total of 58 mice, incl
Externí odkaz:
https://doaj.org/article/d09f0f90529e4e52a72e4373b06a70e4
Autor:
Kah Yee Tai, KokSheik Wong, Farhang Aghakhanian, Ishwar S Parhar, Jasbir Dhaliwal, Qasim Ayub
Publikováno v:
BMC Genetics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Publicly available genome data provides valuable information on the genetic variation patterns across different modern human populations. Neuropeptide genes are crucial to the nervous, immune, endocrine system, and physiological h
Externí odkaz:
https://doaj.org/article/ab7708bfcac943658470b7f5654c9cc3
Publikováno v:
IEEE Access, Vol 8, Pp 67024-67046 (2020)
In recent years, author identification has become an active research area, where the major differences are caused by paper or online medium, mode of entry and target audience. Much research has been devoted to analyzing writing styles in handwritten,
Externí odkaz:
https://doaj.org/article/b0a7b7bd7bfd4be293e1a55396ab6dc5
Publikováno v:
Energy and AI, Vol 7, Iss , Pp 100134- (2022)
Catalytic chemical processes such as hydrocracking, gasification and pyrolysis play a vital role in the renewable energy and net zero transition. Due to the complex and non-linear behaviours during operation, catalytic chemical processes require a po
Externí odkaz:
https://doaj.org/article/d1205f96b4c64a6bb5d0eb2c1495cc7f