Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Ward Nicholas J"'
Autor:
Marsh Simon, Ward Nicholas J, Mehta Anuja, Liao Christopher CL, Arulampalam Tan, Norton John D
Publikováno v:
World Journal of Surgical Oncology, Vol 8, Iss 1, p 33 (2010)
Abstract Background Mass spectrometry-based protein expression profiling of blood sera can be used to discriminate colorectal cancer (CRC) patients from unaffected individuals. In a pilot methodological study, we have evaluated the changes in protein
Externí odkaz:
https://doaj.org/article/ddd494f41edf42209b821ed7b8bc13f0
Publikováno v:
World Journal of Surgical Oncology, Vol 2, Iss 1, p 40 (2004)
Abstract Background Survival in colorectal cancer may correlate with the degree of systemic inflammatory response to the tumour. Atrial fibrillation may be regarded as an inflammatory complication. We aimed to determine if atrial fibrillation is a pr
Externí odkaz:
https://doaj.org/article/0a523ad77cf8420ba4ac116de4a14938
Publikováno v:
In Transportation Research Part F: Psychology and Behaviour July 2021 80:250-259
Autor:
Vithana, Chamindra L. a, b, ⁎, Ulapane, Prashani A.K. a, Chandrajith, Rohana a, Sullivan, Leigh A. c, Bundschuh, Jochen d, Toppler, Nadia e, Ward, Nicholas J. e, Senaratne, Atula a
Publikováno v:
In Geoderma Regional June 2021 25
Publikováno v:
Journal of Community Health; Aug2024, Vol. 49 Issue 4, p724-731, 8p
Publikováno v:
In Journal of Safety Research December 2020 75:24-31
Publikováno v:
J. Chem. Phys. 130, 194105 (2009)
While quantum computers are capable of simulating many quantum systems efficiently, the simulation algorithms must begin with the preparation of an appropriate initial state. We present a method for generating physically relevant quantum states on a
Externí odkaz:
http://arxiv.org/abs/0812.2681
Autor:
Ward, Nicholas J. a, ⁎, Otto, Jay a, Schell, William a, Finley, Kari a, Kelley-Baker, Tara b, 1, Lacey, John H. c
Publikováno v:
In Transportation Research Part F: Psychology and Behaviour August 2017 49:215-225
Publikováno v:
In Journal of Physiology - Paris September 2016 110(1-2):3-9
Autor:
Ward, Nicholas J.
Publikováno v:
Fluids; Volume 8; Issue 7; Pages: 195
For a few decades, machine learning has been extensively utilized for turbulence research. The goal of this work is to investigate the reconstruction of turbulence from minimal or lower-resolution datasets as inputs using reduced-order models. This w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::1fb3dd3e87be861e24ab00f7d9e26bf0