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Institution

Macquarie University

EducationSydney, New South Wales, Australia
About: Macquarie University is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Laser. The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.
Topics: Population, Laser, Galaxy, Anxiety, Mantle (geology)


Papers
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Journal ArticleDOI
TL;DR: It is obtained that any quantum process that begins with unentangled Gaussian states, performs only transformations generated by Hamiltonians that are quadratic in the canonical operators, and involves only measurements of canonical operators and suitable operations conditioned on these measurements can be simulated efficiently on a classical computer.
Abstract: We obtain sufficient conditions for the efficient simulation of a continuous variable quantum algorithm or process on a classical computer. The resulting theorem is an extension of the Gottesman-Knill theorem to continuous variable quantum information. For a collection of harmonic oscillators, any quantum process that begins with unentangled Gaussian states, performs only transformations generated by Hamiltonians that are quadratic in the canonical operators, and involves only measurements of canonical operators (including finite losses) and suitable operations conditioned on these measurements can be simulated efficiently on a classical computer.

356 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a thermal comfort analysis for residential buildings based on thermal comfort models and thermal comfort scales, which are defined in an algorithm, easily implementable in any BES code.

355 citations

Journal ArticleDOI
TL;DR: In this paper, a theoretical model is presented for combining parameters of 1-3 ultrasonic composite materials in order to predict ultrasonic characteristics such as velocity, acoustic impedance, electromechanical coupling factor, and piezoelectric coefficients.
Abstract: A theoretical model is presented for combining parameters of 1-3 ultrasonic composite materials in order to predict ultrasonic characteristics such as velocity, acoustic impedance, electromechanical coupling factor, and piezoelectric coefficients. Hence, the model allows the estimation of resonance frequencies of 1-3 composite transducers. This model has been extended to cover more material parameters, and they are compared to experimental results up to PZT volume fraction nu of 0.8. The model covers calculation of piezoelectric charge constants d/sub 33/ and d/sub 31/. Values are found to be in good agreement with experimental results obtained for PZT 7A/Araldite D 1-3 composites. The acoustic velocity, acoustic impedance, and electromechanical coupling factor are predicted and found to be close to the values determined experimentally. >

355 citations

Journal ArticleDOI
15 Apr 2016-Science
TL;DR: It is found that near-future increases in local temperature of as little as 0.5°C result in this protective mechanism being lost, which may increase the rate of degradation of the GBR.
Abstract: Coral bleaching events threaten the sustainability of the Great Barrier Reef (GBR). Here we show that bleaching events of the past three decades have been mitigated by induced thermal tolerance of reef-building corals, and this protective mechanism is likely to be lost under near-future climate change scenarios. We show that 75% of past thermal stress events have been characterized by a temperature trajectory that subjects corals to a protective, sub-bleaching stress, before reaching temperatures that cause bleaching. Such conditions confer thermal tolerance, decreasing coral cell mortality and symbiont loss during bleaching by over 50%. We find that near-future increases in local temperature of as little as 0.5°C result in this protective mechanism being lost, which may increase the rate of degradation of the GBR.

355 citations

Journal ArticleDOI
TL;DR: Inbreeding and loss of genetic diversity significantly reduced resistance of D. melanogaster to both the thuringiensin toxin and live Serratia marcescens, and there was wide variation among replicate inbred populations in disease resistance.
Abstract: Inbreeding and loss of genetic diversity are predicted to decrease the resistance of species to disease. However, this issue is controversial and there is limited rigorous scientific evidence available. To test whether inbreeding and loss of genetic diversity affect a host''s resistance to disease, Drosophila melanogasterpopulations with different levels of inbreeding and genetic diversity were exposed separately to (a) thuringiensin, an insecticidal toxin produced by some strains of Bacillus thuringiensis, and (b) live Serratia marcescensbacteria. Inbreeding and loss of genetic diversity significantly reduced resistance of D. melanogasterto both the thuringiensin toxin and live Serratia marcescens. For both, the best fitting relationships between resistance and inbreeding were curvilinear. As expected, there was wide variation among replicate inbred populations in disease resistance. Lowered resistances to both the toxin and the pathogen in inbred populations were due to specific resistance alleles, rather than generalized inbreeding effects, as correlations between resistance and population fitness were low or negative. Wildlife managers should strive to minimise inbreeding and loss of genetic diversity within threatened populations and to minimise exposure of inbred populations to disease.

354 citations


Authors

Showing all 14346 results

NameH-indexPapersCitations
Yang Yang1712644153049
Peter B. Reich159790110377
Nicholas J. Talley158157190197
John R. Hodges14981282709
Thomas J. Smith1401775113919
Andrew G. Clark140823123333
Joss Bland-Hawthorn136111477593
John F. Thompson132142095894
Xin Wang121150364930
William L. Griffin11786261494
Richard Shine115109656544
Ian T. Paulsen11235469460
Jianjun Liu112104071032
Douglas R. MacFarlane11086454236
Richard A. Bryant10976943971
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023110
2022463
20214,106
20204,009
20193,549
20183,119