Institution
University of New South Wales
Education•Sydney, 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 published on a yearly basis
Papers
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01 Jan 1970TL;DR: In this article, the authors developed in further detail the remarks concerning the relationship of Kan functor extensions to closed structures on functor categories, made in enriched functors categories, and assumed that the reader is familiar with the basic results of closed category theory.
Abstract: Brian Day Received November 7, 19~9 The purpose of the present paper is to develop in further detail the remarks, concerning the relationship of Kan functor extensions to closed structures on functor categories, made in "Enriched functor categories" | 1] §9. It is assumed that the reader is familiar with the basic results of closed category theory, including the representation theorem. Apart from some minor changes mentioned below, the terminology and notation employed are those of |i], |3], and |5].
478 citations
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TL;DR: In this article, the authors review the recent progress in atomic parity nonconservation and atomic electric dipole moments (time reversal symmetry violation), with a particular focus on the atomic theory required to interpret the measurements.
478 citations
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Wageningen University and Research Centre1, University College London2, University of Leeds3, Carnegie Institution for Science4, University of Queensland5, Harvard University6, Royal Botanic Gardens7, University of Edinburgh8, Ghent University9, University of Oxford10, Royal Museum for Central Africa11, The Lodge12, University of New South Wales13, State University of Campinas14, Universiti Brunei Darussalam15, Center for International Forestry Research16, Tuscia University17, University of Southampton18
TL;DR: The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets.
Abstract: We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns indicated by the reference data. The method was applied independently in areas (strata) with homogeneous error patterns of the input (Saatchi and Baccini) maps, which were estimated from the reference data and additional covariates. Based on the fused map, we estimated AGB stock for the tropics (23.4 N–23.4 S) of 375 Pg dry mass, 9–18% lower than the Saatchi and Baccini estimates. The fused map also showed differing spatial patterns of AGB over large areas, with higher AGB density in the dense forest areas in the Congo basin, Eastern Amazon and South-East Asia, and lower values in Central America and in most dry vegetation areas of Africa than either of the input maps. The validation exercise, based on 2118 estimates from the reference dataset not used in the fusion process, showed that the fused map had a RMSE 15–21% lower than that of the input maps and, most importantly, nearly unbiased estimates (mean bias 5 Mg dry mass ha−1 vs. 21 and 28 Mg ha−1 for the input maps). The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets.
478 citations
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TL;DR: This large, multi-ethnic genome-wide association study identifies 97 loci significantly associated with atrial fibrillation that are enriched for genes involved in cardiac development, electrophysiology, structure and contractile function.
Abstract: Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.
477 citations
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TL;DR: The use of gas bubbles and slugs in microfiltration and ultra-filtration with flow inside tubes and fibres, across flat sheets and outside fibres is discussed in this article.
477 citations
Authors
Showing all 51897 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Nicholas G. Martin | 192 | 1770 | 161952 |
John C. Morris | 183 | 1441 | 168413 |
Richard S. Ellis | 169 | 882 | 136011 |
Ian J. Deary | 166 | 1795 | 114161 |
Nicholas J. Talley | 158 | 1571 | 90197 |
Wolfgang Wagner | 156 | 2342 | 123391 |
Bruce D. Walker | 155 | 779 | 86020 |
Xiang Zhang | 154 | 1733 | 117576 |
Ian Smail | 151 | 895 | 83777 |
Rui Zhang | 151 | 2625 | 107917 |
Marvin Johnson | 149 | 1827 | 119520 |
John R. Hodges | 149 | 812 | 82709 |
Amartya Sen | 149 | 689 | 141907 |
J. Fraser Stoddart | 147 | 1239 | 96083 |