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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 & Context (language use). The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.


Papers
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Journal ArticleDOI
TL;DR: This critical review provides an overview of the history of male EDs and synthesizes current evidence relating to the unique characteristics of male presentations across the diagnostic spectrum of disordered eating to suggest better accommodation male ED presentations are needed.

424 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present the results of an experimental study of the partitioning of water between common upper mantle minerals (olivine, orthopyroxene, clinopyroxenes, garnet) and silicate melt, consisting of 352 measurements in 23 hydrous melting experiments.

422 citations

Journal ArticleDOI
TL;DR: The results establish a clear genetic basis for face recognition, opening this intensively studied and socially advantageous cognitive trait to genetic investigation and identifying a highly specific cognitive ability that is highly heritable.
Abstract: Compared with notable successes in the genetics of basic sensory transduction, progress on the genetics of higher level perception and cognition has been limited. We propose that investigating specific cognitive abilities with well-defined neural substrates, such as face recognition, may yield additional insights. In a twin study of face recognition, we found that the correlation of scores between monozygotic twins (0.70) was more than double the dizygotic twin correlation (0.29), evidence for a high genetic contribution to face recognition ability. Low correlations between face recognition scores and visual and verbal recognition scores indicate that both face recognition ability itself and its genetic basis are largely attributable to face-specific mechanisms. The present results therefore identify an unusual phenomenon: a highly specific cognitive ability that is highly heritable. Our results establish a clear genetic basis for face recognition, opening this intensively studied and socially advantageous cognitive trait to genetic investigation.

421 citations

Journal ArticleDOI
TL;DR: In this article, the Penman formula for the evaporation rate from a lake is simplified to the following: ドラゴンE0=700Tm/(100−A)+15(T−Td)(80−T)(mmday−1)

421 citations

Journal ArticleDOI
TL;DR: A family-based, cognitive behavioural treatment for anxiety in 47 children with comorbid anxiety disorders and High Functioning Autism Spectrum Disorder was evaluated and compared with a waiting list condition, indicating significant reductions in anxiety symptoms.
Abstract: A family-based, cognitive behavioural treatment for anxiety in 47 children with comorbid anxiety disorders and High Functioning Autism Spectrum Disorder (HFA) was evaluated. Treatment involved 12 weekly group sessions and was compared with a waiting list condition. Changes between pre- and post-treatment were examined using clinical interviews as well as child-, parent- and teacher-report measures. Following treatment, 71.4% of the treated participants no longer fulfilled diagnostic criteria for an anxiety disorder. Comparisons between the two conditions indicated significant reductions in anxiety symptoms as measured by self-report, parent report and teacher report. Discussion focuses on the implications for the use of cognitive behaviour therapy with HFA children, for theory of mind research and for further research on the treatment components.

421 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