Institution
Macquarie University
Education•Sydney, 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 published on a yearly basis
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University of Exeter1, Queen's University Belfast2, Lehigh University3, University of Utah4, University of Gloucestershire5, Centro de Investigación en Matemáticas6, University of Bristol7, Lund University8, Macquarie University9, University of Southampton10, University of Wyoming11, University of Helsinki12, University of Aberdeen13, Trinity College, Dublin14, Imperial College London15, University of Toulouse16, University of Eastern Finland17, Memorial University of Newfoundland18, Université du Québec à Montréal19, Brown University20, University of Tartu21, Forschungszentrum Jülich22, Goddard Institute for Space Studies23, Finnish Forest Research Institute24, University of California, Los Angeles25, Wadia Institute of Himalayan Geology26, Heidelberg University27, Tallinn University28, University of Leeds29, Southern Illinois University Carbondale30, Chinese Academy of Sciences31
TL;DR: In this paper, the authors used a new extensive database of peat profiles across northern high latitudes to examine spatial and temporal patterns of carbon accumulation over the past millennium and found that the carbon accumulation rate in northern peatlands is linearly related to contemporary growing season length and photosynthetically active radiation, suggesting that variability in net primary productivity is more important than decomposition in determining longterm carbon accumulation.
Abstract: Peatlands are a major terrestrial carbon store and a persistent natural carbon sink during the Holocene, but there is considerable uncertainty over the fate of peatland carbon in a changing climate. It is generally assumed that higher temperatures will increase peat decay, causing a positive feedback to climate warming and contributing to the global positive carbon cycle feedback. Here we use a new extensive database of peat profiles across northern high latitudes to examine spatial and temporal patterns of carbon accumulation over the past millennium. Opposite to expectations, our results indicate a small negative carbon cycle feedback from past changes in the long-term accumulation rates of northern peatlands. Total carbon accumulated over the last 1000 yr is linearly related to contemporary growing season length and photosynthetically active radiation, suggesting that variability in net primary productivity is more important than decomposition in determining long-term carbon accumulation. Furthermore, northern peatland carbon sequestration rate declined over the climate transition from the Medieval Climate Anomaly (MCA) to the Little Ice Age (LIA), probably because of lower LIA temperatures combined with increased cloudiness suppressing net primary productivity. Other factors including changing moisture status, peatland distribution, fire, nitrogen deposition, permafrost thaw and methane emissions will also influence future peatland carbon cycle feedbacks, but our data suggest that the carbon sequestration rate could increase over many areas of northern peatlands in a warmer future.
292 citations
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292 citations
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TL;DR: In this article, an alternative measure of goodness-of-fit, based like Akaike's on the noncentrality parameter, appears to be consistent over variations in sample size.
Abstract: Akaike's Information Criterion is systematically dependent on sample size, and therefore cannot be used in practice as a basis for model selection. An alternative measure of goodness-of-fit, based like Akaike's on the noncentrality parameter, appears to be consistent over variations in sample size.
291 citations
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TL;DR: The data indicate that, despite the fact that parents and their children do not demonstrate strong agreement, the DSM-III-R childhood anxiety disorders can be reliably diagnosed by pairs of general clinicians using structured interviews.
Abstract: Objective The aim of the study was to examine the interrater and parent-child agreement for the major child anxiety disorders. Method One hundred sixty-one children and their parents underwent a semistructured interview (Anxiety Disorders Interview Schedule for Children). To increase external validity, clinicians did not receive specific, extensive training in diagnosing anxiety disorders apart from their standard qualifications. The design of the study allowed for calculation of agreement between raters based on information obtained from the parents alone, from the child alone, or through combined information from both the parents and child, and for calculation of agreement between information obtained from the parents and information obtained from the child. Results Levels of interrater agreement either as principal or additional diagnoses were moderate to strong for all of the major childhood anxiety disorders (K values .59 to .82). In contrast, parent-child agreement was poor for most diagnostic categories (K values .11 to .44). Conclusions The data indicate that, despite the fact that parents and their children do not demonstrate strong agreement, the DSM-III-R childhood anxiety disorders can be reliably diagnosed by pairs of general clinicians using structured interviews.
291 citations
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TL;DR: Higher-surface-area textured implants have been shown to significantly increase the risk of breast implant–associated ALCL in Australia and New Zealand and the authors present a unifying hypothesis to explain these observations.
Abstract: Background:The association between breast implants and breast implant–associated anaplastic large cell lymphoma (ALCL) has been confirmed. Implant-related risk has been difficult to estimate to date due to incomplete datasets.Methods:All cases in Australia and New Zealand were identified and analyze
291 citations
Authors
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Name | H-index | Papers | Citations |
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Yang Yang | 171 | 2644 | 153049 |
Peter B. Reich | 159 | 790 | 110377 |
Nicholas J. Talley | 158 | 1571 | 90197 |
John R. Hodges | 149 | 812 | 82709 |
Thomas J. Smith | 140 | 1775 | 113919 |
Andrew G. Clark | 140 | 823 | 123333 |
Joss Bland-Hawthorn | 136 | 1114 | 77593 |
John F. Thompson | 132 | 1420 | 95894 |
Xin Wang | 121 | 1503 | 64930 |
William L. Griffin | 117 | 862 | 61494 |
Richard Shine | 115 | 1096 | 56544 |
Ian T. Paulsen | 112 | 354 | 69460 |
Jianjun Liu | 112 | 1040 | 71032 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Richard A. Bryant | 109 | 769 | 43971 |