Rowan Brown
Swansea University
5 Papers
4 Citations
Rowan Brown is an academic researcher from Swansea University. The author has contributed to research in topics: Internal medicine & Medicine. The author has an hindex of 2, co-authored 4 publications.
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Papers
The effect of sepsis and its inflammatory response on mechanical clot characteristics: a prospective observational study
Gareth Davies,Suresh Pillai,Matthew Lawrence,Matthew Lawrence,Gavin M. Mills,Robert Aubrey,Lindsay D’Silva,Lindsay D’Silva,Ceri Battle,R. L. Williams,Rowan Brown,Dafydd Thomas,Keith Morris,Phillip A. Evans,Phillip A. Evans,Phillip A. Evans +15 more
TL;DR: It is confirmed that clot microstructure is significantly altered through the various stages of sepsis, and of particular importance was the marked change in clot development between severesepsis and septic shock, which has not been previously reported.
Why did the animal turn? Time-varying step selection analysis for inference between observed turning points in high frequency data
Rhys Munden,Luca Börger,Rory P. Wilson,James Redcliffe,Rowan Brown,Mathieu Garel,Jonathan R. Potts +6 more
TL;DR: By constructing a step selection technique that works between observed turning-points of animals, this method enables step selection to be used on high-frequency movement data, which are becoming increasingly prevalent in modern biologging studies.
Acyl-Ghrelin Attenuates Neurochemical and Motor Deficits in the 6-OHDA Model of Parkinson’s Disease
Daniel J. Rees,Amy L. Beynon,Mariah Jillian Lelos,Gaynor A. Smith,Luke D. Roberts,Lyndsey Phelps,Stephen B. Dunnett,Alwena H. Morgan,Rowan Brown,Timothy N. C. Wells,Jeffrey S. Davies +10 more
TL;DR: In this paper , the authors investigated the effect of 6-hydroxydopamine (6-OHDA) on substantia nigra pars compacta (SNpc) dopaminergic neurones and consequent behavioural correlates in the rat medial forebrain bundle (MFB) lesion model of PD.
Why did the animal turn? Time‐varying step selection analysis for inference between observed turning points in high frequency data
Rhys Munden,Luca Börger,Rory P. Wilson,James Redcliffe,Rowan Brown,Mathieu Garel,Jonathan R. Potts +6 more
TL;DR: By constructing a step selection technique that works between observed turning‐points of animals, this method enables step selection to be used on high‐frequency movement data, which are becoming increasingly prevalent in modern biologging studies.