Institution
University of Sydney
Education•Sydney, New South Wales, Australia•
About: University of Sydney is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Health care. The organization has 61532 authors who have published 187345 publications receiving 6114218 citations. The organization is also known as: Sydney University & USyd.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this new approach, the nanoengineering efficiency of living cells is harnessed and natural organisms such as diatoms and viruses are used to make nanostructures that could have commercial applications.
Abstract: Biomimetics is the extraction of good design from nature. One approach to optical biomimetics focuses on the use of conventional engineering methods to make direct analogues of the reflectors and anti-reflectors found in nature. However, recent collaborations between biologists, physicists, engineers, chemists and materials scientists have ventured beyond experiments that merely mimic what happens in nature, leading to a thriving new area of research involving biomimetics through cell culture. In this new approach, the nanoengineering efficiency of living cells is harnessed and natural organisms such as diatoms and viruses are used to make nanostructures that could have commercial applications.
588 citations
••
TL;DR: To meet the challenge of chronic diseases, primary health care will have to be strengthened substantially and research on scaling-up should be embedded in large-scale delivery programmes for chronic diseases with a strong emphasis on assessment.
588 citations
••
TL;DR: In this paper, Johnson V and Gunn I photometry for a large number of Local Group galaxies using the Isaac Newton Telescope Wide Field Camera (INT WFC) was obtained for the top few magnitudes of the red giant branch in each system.
Abstract: We have obtained Johnson V and Gunn i photometry for a large number of Local Group galaxies using the Isaac Newton Telescope Wide Field Camera (INT WFC). The majority of these galaxies are members of the M31 subgroup and the observations are deep enough to study the top few magnitudes of the red giant branch in each system. We previously measured the location of the tip of the red giant branch (TRGB) for Andromeda I, Andromeda II and M33 to within systematic uncertainties of typically <0.05 mag. As the TRGB acts as a standard candle in old, metal-poor stellar populations, we were able to derive distances to each of these galaxies. Here we derive TRGB distances to the giant spiral galaxy M31 and 13 additional dwarf galaxies ‐ NGC 205, 185, 147, Pegasus, WLM, LGS3, Cetus, Aquarius, And III, V, VI, VII and the newly discovered dwarf spheroidal And IX. The observations for each of the dwarf galaxies were intentionally taken in photometric conditions. In addition to the distances, we also self-consistently derive the median metallicity of each system from the colour of their red giant branches. This allows us to take into account the small metallicity variation of the absolute I magnitude of the TRGB. The homogeneous nature of our data and the identical analysis applied to each of the 17 Local Group galaxies ensures that these estimates form a reliable set of distance and metallicity determinations that are ideal for comparative studies of Local Group galaxy properties. Ke yw ords: galaxies: general ‐ Local Group ‐ galaxies: stellar content.
587 citations
••
University of Texas Southwestern Medical Center1, University of British Columbia2, George Washington University3, University of Sydney4, Aarhus University Hospital5, Technion – Israel Institute of Technology6, Cleveland Clinic Lerner College of Medicine7, Walter Reed National Military Medical Center8
TL;DR: The purpose of this document is to provide standards meant to ensure reliable practice methods and quality outcomes based on the best available data in order to improve the diagnostic care of patients.
587 citations
•
01 Dec 2009TL;DR: A novel test of the independence hypothesis for one particular kernel independence measure, the Hilbert-Schmidt independence criterion (HSIC), which outperforms established contingency table and functional correlation-based tests, and is greater for multivariate data.
Abstract: Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected statistically significant dependence. We provide a novel test of the independence hypothesis for one particular kernel independence measure, the Hilbert-Schmidt independence criterion (HSIC). The resulting test costs O(m2), wherem is the sample size. We demonstrate that this test outperforms established contingency table and functional correlation-based tests, and that this advantage is greater for multivariate data. Finally, we show the HSIC test also applies to text (and to structured data more generally), for which no other independence test presently exists.
587 citations
Authors
Showing all 62240 results
Name | H-index | Papers | Citations |
---|---|---|---|
Salim Yusuf | 231 | 1439 | 252912 |
David J. Hunter | 213 | 1836 | 207050 |
Rob Knight | 201 | 1061 | 253207 |
Eric B. Rimm | 196 | 988 | 147119 |
Michael Marmot | 193 | 1147 | 170338 |
Nicholas G. Martin | 192 | 1770 | 161952 |
Jing Wang | 184 | 4046 | 202769 |
David R. Williams | 178 | 2034 | 138789 |
Jasvinder A. Singh | 176 | 2382 | 223370 |
Rory Collins | 162 | 489 | 193407 |
David W. Johnson | 160 | 2714 | 140778 |
Tien Yin Wong | 160 | 1880 | 131830 |
Barbara E.K. Klein | 160 | 856 | 93319 |
Peter B. Reich | 159 | 790 | 110377 |
Nicholas J. Talley | 158 | 1571 | 90197 |