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Institution

University of New South Wales

EducationSydney, New South Wales, Australia
About: University of New South Wales is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 51197 authors who have published 153634 publications receiving 4880608 citations. The organization is also known as: UNSW & UNSW Australia.


Papers
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Journal ArticleDOI
06 Feb 2014-Nature
TL;DR: It is shown that woody clades successfully moved into freezing-prone environments by either possessing transport networks of small safe conduits and/or shutting down hydraulic function by dropping leaves during freezing.
Abstract: Early flowering plants are thought to have been woody species restricted to warm habitats 1–3 . This lineage has since radiated into almost every climate, with manifold growth forms 4 . As angiosperms spread and climate changed, they evolved mechanisms to cope with episodic freezing. To explore the evolution of traits underpinning the ability to persist in freezing conditions, we assembled a large species-level database of growth habit (woody or herbaceous; 49,064 species), as well as leaf phenology (evergreen or deciduous), diameter of hydraulic conduits (that is, xylem vessels and tracheids) and climate occupancies (exposure to freezing). To model the evolution of species’ traits and climate occupancies, we combined these data with an unparalleled dated molecular phylogeny (32,223 species) for land plants. Here we show that woody clades successfully move di nto freezingprone environments by either possessing transport networks of small

1,221 citations

Journal ArticleDOI
TL;DR: This poster aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about the physical and cognitive properties of Alzheimer's disease and other dementias.
Abstract: Defeating Alzheimer's disease and other dementias : a priority for European science and society

1,215 citations

Journal Article
TL;DR: The first report from the OMERACT ultrasound special interest group is presented, which has compared US against the criteria of the O MERACT filter, and for the first time are consensus US definitions for common pathological lesions seen in patients with inflammatory arthritis.
Abstract: Ultrasound (US) has great potential as an outcome in rheumatoid arthritis trials for detecting bone erosions, synovitis, tendon disease, and enthesopathy. It has a number of distinct advantages over magnetic resonance imaging, including good patient tolerability and ability to scan multiple joints in a short period of time. However, there are scarce data regarding its validity, reproducibility, and responsiveness to change, making interpretation and comparison of studies difficult. In particular, there are limited data describing standardized scanning methodology and standardized definitions of US pathologies. This article presents the first report from the OMERACT ultrasound special interest group, which has compared US against the criteria of the OMERACT filter. Also proposed for the first time are consensus US definitions for common pathological lesions seen in patients with inflammatory arthritis.

1,215 citations

Journal ArticleDOI
TL;DR: In this paper, a toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy, demonstrated using a dissolved organic matter (DOM) fluorescence dataset.
Abstract: PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluorophores. However, many practical and analytical hurdles stand between EEM datasets and their chemical interpretation. This article provides a tutorial in the practical application of PARAFAC to fluorescence datasets, demonstrated using a dissolved organic matter (DOM) fluorescence dataset. A new toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy.

1,210 citations


Authors

Showing all 51897 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Nicholas G. Martin1921770161952
John C. Morris1831441168413
Richard S. Ellis169882136011
Ian J. Deary1661795114161
Nicholas J. Talley158157190197
Wolfgang Wagner1562342123391
Bruce D. Walker15577986020
Xiang Zhang1541733117576
Ian Smail15189583777
Rui Zhang1512625107917
Marvin Johnson1491827119520
John R. Hodges14981282709
Amartya Sen149689141907
J. Fraser Stoddart147123996083
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023389
20221,183
202111,342
202011,235
20199,891
20189,145