ORCID Profile
0000-0002-8361-6876
Current Organisation
University of New South Wales
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Optimisation | Numerical and Computational Mathematics | Analysis of Algorithms and Complexity | Operator Algebras and Functional Analysis | Applied Mathematics | Operations Research | Approximation Theory and Asymptotic Methods |
Expanding Knowledge in the Mathematical Sciences | Application Software Packages (excl. Computer Games) | Technological and Organisational Innovation
Publisher: IOP Publishing
Date: 04-02-2011
Publisher: Elsevier BV
Date: 10-2007
Publisher: Informa UK Limited
Date: 02-2008
Publisher: Springer Science and Business Media LLC
Date: 05-02-2019
DOI: 10.1038/S41598-018-35736-2
Abstract: Hepatocarcinogenesis is tightly linked to liver fibrosis. Recently, two GWAS variants, MICA rs2596542 and DEPDC5 rs1012068 were identified as being associated with the development of HCV-induced hepatocellular carcinoma (HCC) in Japanese patients. The role of these variants on hepatic inflammation and fibrosis that are closely associated with HCC development is not known, nor are the biological mechanisms underlying their impact on the liver. Here, we demonstrate in 1689 patients with chronic hepatitis C (CHC) (1,501 with CHC and 188 with HCV-related HCC), that the MICA (T) allele, despite not being associated with HCC susceptibility, is associated with increased fibrosis stage (OR: 1.47, 95% CI: 1.05–2.06, p = 0.02) and fibrosis progression rate (hazards ratio: 1.41, 95% CI: 1.04–1.90, p = 0.02). The DEPDC5 variant was not associated with any of these phenotypes. MICA expression was down-regulated in advanced fibrosis stages. Further, (T) allele carriage was associated with lower MICA expression in liver and serum. Transforming growth factor-β1 (TGF-β1) expression suppresses MICA expression in hepatic stellate cells. Our findings suggest a novel mechanism linking susceptibility to advanced fibrosis and subsequently indirectly to HCC, to the level of MICA expression through TGF-β1-dependent mechanisms.
Publisher: Springer Science and Business Media LLC
Date: 10-07-2012
Publisher: Springer Science and Business Media LLC
Date: 13-04-2016
Publisher: Springer Science and Business Media LLC
Date: 02-05-2019
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2010
DOI: 10.1137/100786733
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2019
DOI: 10.1137/17M1126643
Publisher: Elsevier BV
Date: 08-2008
Publisher: Springer Science and Business Media LLC
Date: 18-09-2013
Publisher: American Mathematical Society (AMS)
Date: 10-09-2013
DOI: 10.1090/S0025-5718-2013-02765-2
Abstract: A solution for Smale’s 17th problem, for the case of systems with bounded degree was recently given. This solution, an algorithm computing approximate zeros of complex polynomial systems in average polynomial time, assumed infinite precision. In this paper we describe a finite-precision version of this algorithm. Our main result shows that this version works within the same time bounds and requires a precision which, on the average, amounts to a polynomial amount of bits in the mantissa of the intervening floating-point numbers.
Publisher: Informa UK Limited
Date: 21-10-2020
Publisher: Springer Science and Business Media LLC
Date: 23-05-2014
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2020
DOI: 10.1137/18M1189464
Publisher: IOP Publishing
Date: 07-05-2014
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2014
DOI: 10.1137/130922069
Publisher: Informa UK Limited
Date: 10-2006
Publisher: Informa UK Limited
Date: 09-11-2017
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2013
Publisher: Informa UK Limited
Date: 2012
Publisher: Springer Science and Business Media LLC
Date: 11-07-2019
Publisher: Springer Science and Business Media LLC
Date: 09-01-2014
Publisher: Informa UK Limited
Date: 04-06-2018
Publisher: Pleiades Publishing Ltd
Date: 10-2007
Publisher: Springer Science and Business Media LLC
Date: 06-03-2014
Publisher: Springer Science and Business Media LLC
Date: 12-2007
Publisher: Springer Science and Business Media LLC
Date: 12-07-2018
Publisher: Informa UK Limited
Date: 04-2008
Publisher: Elsevier BV
Date: 02-2012
Publisher: Springer Science and Business Media LLC
Date: 05-04-2023
Publisher: Informa UK Limited
Date: 02-2010
Publisher: Elsevier BV
Date: 06-2012
Publisher: Springer Science and Business Media LLC
Date: 08-04-2023
DOI: 10.1007/S10107-023-01958-0
Abstract: Amenability is a notion of facial exposedness for convex cones that is stronger than being facially dual complete (or ‘nice’) which is, in turn, stronger than merely being facially exposed. Hyperbolicity cones are a family of algebraically structured closed convex cones that contain all spectrahedral cones (linear sections of positive semidefinite cones) as special cases. It is known that all spectrahedral cones are amenable. We establish that all hyperbolicity cones are amenable. As part of the argument, we show that any face of a hyperbolicity cone is a hyperbolicity cone. As a corollary, we show that the intersection of two hyperbolicity cones, not necessarily sharing a common relative interior point, is a hyperbolicity cone.
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 09-2022
DOI: 10.1137/20M138466X
Publisher: Springer Science and Business Media LLC
Date: 26-09-2018
Publisher: Springer Science and Business Media LLC
Date: 07-07-2007
Publisher: Elsevier BV
Date: 02-2012
Publisher: Springer New York
Date: 2010
Start Date: 2015
End Date: 2018
Funder: Australian Research Council
View Funded ActivityStart Date: 2022
End Date: 12-2024
Amount: $120,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2015
End Date: 06-2019
Amount: $315,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2018
End Date: 12-2023
Amount: $362,045.00
Funder: Australian Research Council
View Funded Activity