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Institution

Australian National University

EducationCanberra, Australian Capital Territory, Australia
About: Australian National University is a education organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Population & Galaxy. The organization has 34419 authors who have published 109261 publications receiving 4315448 citations. The organization is also known as: The Australian National University & ANU.


Papers
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Journal ArticleDOI
18 Nov 2016-Science
TL;DR: How high-index dielectric nanoparticles can offer a substitute for plasmonic nanoparticle structures, providing a highly flexible and low-loss route to the manipulation of light at the nanoscale is reviewed.
Abstract: The resonant modes of plasmonic nanoparticle structures made of gold or silver endow them with an ability to manipulate light at the nanoscale. However, owing to the high light losses caused by metals at optical wavelengths, only a small fraction of plasmonics applications have been realized. Kuznetsov et al. review how high-index dielectric nanoparticles can offer a substitute for these metals, providing a highly flexible and low-loss route to the manipulation of light at the nanoscale. Science , this issue p. [10.1126/science.aag2472][1] [1]: /lookup/doi/10.1126/science.aag2472

2,161 citations

Journal ArticleDOI
23 Jun 2021
TL;DR: In this article, the authors describe the state-of-the-art in the field of federated learning from the perspective of distributed optimization, cryptography, security, differential privacy, fairness, compressed sensing, systems, information theory, and statistics.
Abstract: The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client’s raw data is stored locally and not exchanged or transferred; instead, focused updates intended for immediate aggregation are used to achieve the learning objective. Since then, the topic has gathered much interest across many different disciplines and the realization that solving many of these interdisciplinary problems likely requires not just machine learning but techniques from distributed optimization, cryptography, security, differential privacy, fairness, compressed sensing, systems, information theory, statistics, and more. This monograph has contributions from leading experts across the disciplines, who describe the latest state-of-the art from their perspective. These contributions have been carefully curated into a comprehensive treatment that enables the reader to understand the work that has been done and get pointers to where effort is required to solve many of the problems before Federated Learning can become a reality in practical systems. Researchers working in the area of distributed systems will find this monograph an enlightening read that may inspire them to work on the many challenging issues that are outlined. This monograph will get the reader up to speed quickly and easily on what is likely to become an increasingly important topic: Federated Learning.

2,144 citations

Journal ArticleDOI
TL;DR: In this article, a large variation in trace element characteristics of graywackes of the Paleozoic turbidite sequences of eastern Australia show a large increase in light rare earth elements (La, Ce, Nd), Th, Nb and the Ba/Sr, Rb, Sr, La/Y and Ni/Co ratios.
Abstract: The graywackes of Paleozoic turbidite sequences of eastern Australia show a large variation in their trace element characteristics, which reflect distinct provenance types and tectonic settings for various suites. The tectonic settings recognised are oceanic island arc, continental island arc, active continental margin, and passive margins. Immobile trace elements, e.g. La, Ce, Nd, Th, Zr, Nb, Y, Sc and Co are very useful in tectonic setting discrimination. In general, there is a systematic increase in light rare earth elements (La, Ce, Nd), Th, Nb and the Ba/Sr, Rb/Sr, La/Y and Ni/Co ratios and a decrease in V, Sc and the Ba/Rb, K/Th and K/U ratios in graywackes from oceanic island arc to continental island arc to active continental margin to passive margin settings. On the basis of graywacke geochemistry, the optimum discrimination of the tectonic settings of sedimentary basins is achieved by La-Th, La-Th-Sc, Ti/Zr-La/Sc, La/Y-Sc/Cr, Th-Sc-Zr/10 and Th-Co-Zr/10 plots. The analysed oceanic island arc graywackes are characterised by extremely low abundances of La, Th, U, Zr, Nb; low Th/U and high La/Sc, La/Th, Ti/Zr, Zr/Th ratios. The studied graywackes of the continental island arc type setting are characterised by increased abundances of La, Th, U, Zr and Nb, and can be identified by the La-Th-Sc and La/Sc versus Ti/Zr plots. Active continental margin and passive margin graywackes are discriminated by the Th-Sc-Zr/10 and Th-Co-Zr/10 plots and associated parameters (e.g. Th/Zr, Th/Sc). The most important characteristic of the analysed passive margin type graywackes is the increased abundance of Zr, high Zr/Th and lower Ba, Rb, Sr and Ti/Zr ratio compared to the active continental margin graywackes.

2,133 citations

Journal ArticleDOI
TL;DR: LBP causes more global disability than any other condition and with the ageing population, there is an urgent need for further research to better understand LBP across different settings.
Abstract: Supported by the Bill and Melinda Gates Foundation (to Dr Hoy and Prof Vos), the Australian Commonwealth Department of Health and Ageing (to Dr Smith (University of Sydney, Institute of Bone and Joint Research) and Prof March), the Australian National Health and Medical Research Council (Postgraduate Scholarship 569772 to Dr Hoy and Practitioner Fellowships 334010 (2005–2009) and 606429 (2010–2014) to Prof Buchbinder, and the Ageing and Alzheimers Research Foundation (Asst Prof Blyth).

2,085 citations

Journal ArticleDOI
TL;DR: In this article, the authors focus on individual species and the processes threatening them, and human-perceived landscape patterns and their correlation with species and assemblages, as well as additional, stochastic threats such as habitat loss, habitat degradation, habitat isolation and habitat isolation.
Abstract: Landscape modification and habitat fragmentation are key drivers of global species loss. Their effects may be understood by focusing on: (1) individual species and the processes threatening them, and (2) human-perceived landscape patterns and their correlation with species and assemblages. Individual species may decline as a result of interacting exogenous and endogenous threats, including habitat loss, habitat degradation, habitat isolation, changes in the biology, behaviour, and interactions of species, as well as additional, stochastic threats. Human-perceived landscape patterns that are frequently correlated with species assemblages include the amount and structure of native vegetation, the prevalence of anthropogenic edges, the degree of landscape connectivity, and the structure and heterogeneity of modified areas. Extinction cascades are particularly likely to occur in landscapes with low native vegetation cover, low landscape connectivity, degraded native vegetation and intensive land use in modified areas, especially if keystone species or entire functional groups of species are lost. This review (1) demonstrates that species-oriented and pattern-oriented approaches to understanding the ecology of modified landscapes are highly complementary, (2) clarifies the links between a wide range of interconnected themes, and (3) provides clear and consistent terminology. Tangible research and management priorities are outlined that are likely to benefit the conservation of native species in modified landscapes around the world.

2,068 citations


Authors

Showing all 34925 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
Nicholas G. Martin1921770161952
David R. Williams1782034138789
Krzysztof Matyjaszewski1691431128585
Anton M. Koekemoer1681127106796
Robert G. Webster15884390776
Ashok Kumar1515654164086
Andrew White1491494113874
Bernhard Schölkopf1481092149492
Paul Mitchell146137895659
Liming Dai14178182937
Thomas J. Smith1401775113919
Michael J. Keating140116976353
Joss Bland-Hawthorn136111477593
Harold A. Mooney135450100404
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023280
2022773
20215,261
20205,464
20195,109
20184,825