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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: In this article, the authors identify the need for a specific framework identifying how indigenous and western knowledge may be combined to mitigate against the intrinsic effects of environmental processes and therefore reduce the vulnerability of rural indigenous communities in small island developing states (SIDS) to environmental hazards.

252 citations

Journal ArticleDOI
TL;DR: In this paper, the authors report the findings of research into the strategic change narratives that emerged in three organizations in which the senior management were seeking to respond to deregulation of the economy in which they were operating.
Abstract: Sensegiving constitutes a key process in the management of strategic change. Often this takes the form of narratives that provide a portrayal of events surrounding the change. This article reports the findings of research into the strategic change narratives that emerged in three organizations in which the senior management were seeking to respond to deregulation of the economy in which they were operating. The results illustrate both the existence of such narratives and the variation in form that they can take.

252 citations

Journal ArticleDOI
TL;DR: It is concluded that the diagnostic phylogenetic species concept is unsuitable for use in conservation contexts, especially for classifying allopatric populations.

252 citations

Journal ArticleDOI
TL;DR: It is suggested that the increased perceptual salience of the violation in utterance final position (due to phrase-final lengthening) influenced how S-V agreement violations were processed during sentence comprehension.
Abstract: Previous ERP studies have often reported two ERP components—LAN and P600—in response to subject-verb (S-V) agreement violations (e.g., the boys *runs). However, the latency, amplitude and scalp distribution of these components have been shown to vary depending on various experiment-related factors. One factor that has not received attention is the extent to which the relative perceptual salience related to either the utterance position (verbal inflection in utterance-medial vs. utterance-final contexts) or the type of agreement violation (errors of omission vs. errors of commission) may influence the auditory processing of S-V agreement. The lack of reports on these effects in ERP studies may be due to the fact that most studies have used the visual modality, which does not reveal acoustic information. To address this gap, we used ERPs to measure the brain activity of Australian English-speaking adults while they listened to sentences in which the S-V agreement differed by type of agreement violation and utterance position. We observed early negative and positive clusters (AN/P600 effects) for the overall grammaticality effect. Further analysis revealed that the mean amplitude and distribution of the P600 effect was only significant in contexts where the S-V agreement violation occurred utterance-finally, regardless of the type of agreement violation. The mean amplitude and distribution of the negativity did not differ significantly across types of agreement violation and utterance position. These findings suggest that the increased perceptual salience of the violation in utterance-final position (due to phrase-final lengthening) influenced how S-V agreement violations were processed during sentence comprehension. Implications for the functional interpretation of language-related ERPs and experimental design are discussed.

252 citations

Journal ArticleDOI
TL;DR: A general model is developed for the analysis of multivariate multilevel data structures and special cases of the model include repeated measures designs, multiple matrix samples, multileVEL latent variable models, multiple time series, and variance and covariance component models.
Abstract: A general model is developed for the analysis of multivariate multilevel data structures. Special cases of the model include repeated measures designs, multiple matrix samples, multilevel latent variable models, multiple time series, and variance and covariance component models.

252 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
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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