Institution
Edith Cowan University
Education•Perth, Western Australia, Australia•
About: Edith Cowan University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 4040 authors who have published 13529 publications receiving 339582 citations. The organization is also known as: Edith Cowan & ECU.
Papers published on a yearly basis
Papers
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TL;DR: This paper develops a common set of weights (CSW) model using the ideal point method to evaluate the environmental performance of decision-making units (DMUs) with data envelopment analysis (DEA).
106 citations
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TL;DR: A new framework for conceptualising and structuring collaborative goal setting in aphasia rehabilitation, called SMARTER, which offers an easy way to summarise much of the collaborative work that already takes place in clinical practice but also emphasises aspects that could be improved.
Abstract: Background: There have been numerous calls for rehabilitation professionals to involve patients or clients in decisions about the goals of therapy. And yet collaborative goal setting in rehabilitation remains uncommon and is particularly difficult to achieve for people with aphasia. Aims: This discussion paper describes a new framework for conceptualising and structuring collaborative goal setting in aphasia rehabilitation. The framework has been developed based on the results of a large, multi-centred Australian study, the Goals in Aphasia Project, which explored client, family, and speech pathology experiences of rehabilitation goal setting. This framework, called SMARTER Goal Setting, describes a process of goal setting that is Shared, Monitored, Accessible, Relevant, Transparent, Evolving and Relationship-centred. Methods & Procedures: The methods and results from the Goals in Aphasia Project have already been published elsewhere but involved in-depth interviews with 50 people with aphasia, 48 family ...
106 citations
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TL;DR: The data clearly do not support twinning as a substantial risk factor in the etiology of autism, and it is demonstrated that the high proportion of twins found in affected-sib-pair studies can be adequately explained by the high ratio of concordance rates in monozygotic twins versus siblings and the distribution of family size in the population studied.
Abstract: Autism is considered by many to be the most strongly genetically influenced multifactorial childhood psychiatric disorder. In the absence of any known gene or genes, the main support for this is derived from family and twin studies. Two recent studies (Greenberg et al. 2001; Betancur et al. 2002) suggested that the twinning process itself is an important risk factor in the development of autism. If true, this would have major consequences for the interpretation of twin studies. Both studies compared the number of affected twin pairs among affected sib pairs to expected values in two separate samples of multiplex families and reported a substantial and significant excess of twin pairs. Using data from our epidemiological study in Western Australia, we investigated the possibility of an increased rate of autism in twins. All children born between 1980 and 1995 with autism, Asperger syndrome, or pervasive developmental disorder not otherwise specified (PDD-NOS) were ascertained. Of the 465 children with a diagnosis, 14 were twin births (rate 30.0/1,000) compared to 9,640 children of multiple births out of a total of 386,637 births in Western Australia between 1980 and 1995 (twin rate weighted to number of children with autism or PDD per year 26.3/1,000). These data clearly do not support twinning as a substantial risk factor in the etiology of autism. We demonstrate that the high proportion of twins found in affected-sib-pair studies can be adequately explained by the high ratio of concordance rates in monozygotic (MZ) twins versus siblings and the distribution of family size in the population studied. Our results are in agreement with those of two similar studies by Croen et al. (2002) in California and Hultman et al. (2002) in Sweden.
106 citations
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Sheffield Hallam University1, University of Hull2, University of Bedfordshire3, Pennsylvania State University4, Manchester Metropolitan University5, Texas State University6, Harvard University7, Ohio State University8, University of Wolverhampton9, VU University Medical Center10, University of Queensland11, University of Cape Town12, Massey University13, Edith Cowan University14
TL;DR: Solutions include adoption of the term “intensity” in descriptions and categorizations of challenge imposed on an individual as they perform exercise, followed by correct use of SI terms and units appropriate to the specific kind of exercise performed.
Abstract: Despite the Systeme International d'Unites (SI) that was published in 1960, there continues to be widespread misuse of the terms and nomenclature of mechanics in descriptions of exercise performance. Misuse applies principally to failure to distinguish between mass and weight, velocity and speed, and especially the terms "work" and "power." These terms are incorrectly applied across the spectrum from high-intensity short-duration to long-duration endurance exercise. This review identifies these misapplications and proposes solutions. Solutions include adoption of the term "intensity" in descriptions and categorizations of challenge imposed on an individual as they perform exercise, followed by correct use of SI terms and units appropriate to the specific kind of exercise performed. Such adoption must occur by authors and reviewers of sport and exercise research reports to satisfy the principles and practices of science and for the field to advance.
106 citations
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University of Technology, Sydney1, Deakin University2, Macquarie University3, Edith Cowan University4, University of Western Australia5, Utah State University6, University of Queensland7, Commonwealth Scientific and Industrial Research Organisation8, Woods Hole Oceanographic Institution9, Griffith University10, King Abdullah University of Science and Technology11, Spanish National Research Council12
TL;DR: This study provides the most comprehensive estimates of tidal marsh blue carbon in Australia, and illustrates their importance in climate change mitigation and adaptation, acting as CO2 sinks and buffering the impacts of rising sea level.
Abstract: Australia’s tidal marshes have suffered significant losses but their recently recognised importance in CO2 sequestration is creating opportunities for their protection and restoration. We compiled all available data on soil organic carbon (OC) storage in Australia’s tidal marshes (323 cores). OC stocks in the surface 1 m averaged 165.41 (SE 6.96) Mg OC ha−1 (range 14–963 Mg OC ha−1). The mean OC accumulation rate was 0.55 ± 0.02 Mg OC ha−1 yr−1. Geomorphology was the most important predictor of OC stocks, with fluvial sites having twice the stock of OC as seaward sites. Australia’s 1.4 million hectares of tidal marshes contain an estimated 212 million tonnes of OC in the surface 1 m, with a potential CO2-equivalent value of $USD7.19 billion. Annual sequestration is 0.75 Tg OC yr−1, with a CO2-equivalent value of $USD28.02 million per annum. This study provides the most comprehensive estimates of tidal marsh blue carbon in Australia, and illustrates their importance in climate change mitigation and adaptation, acting as CO2 sinks and buffering the impacts of rising sea level. We outline potential further development of carbon offset schemes to restore the sequestration capacity and other ecosystem services provided by Australia tidal marshes.
106 citations
Authors
Showing all 4128 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul Jackson | 141 | 1372 | 93464 |
William J. Kraemer | 123 | 755 | 54774 |
D. Allan Butterfield | 115 | 504 | 43528 |
Kerry S. Courneya | 112 | 608 | 49504 |
Robert U. Newton | 109 | 753 | 42527 |
Roger A. Barker | 101 | 620 | 39728 |
Ralph N. Martins | 95 | 630 | 35394 |
Wei Wang | 95 | 3544 | 59660 |
David W. Dunstan | 91 | 403 | 37901 |
Peter E.D. Love | 90 | 546 | 24815 |
Andrew Jones | 83 | 695 | 28290 |
Hongqi Sun | 81 | 265 | 20354 |
Leon Flicker | 79 | 465 | 22669 |
Mark A. Jenkins | 79 | 472 | 21100 |
Josep M. Gasol | 77 | 313 | 22638 |