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Institution

La Trobe University

EducationMelbourne, Victoria, Australia
About: La Trobe University is a education organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Population & Health care. The organization has 13370 authors who have published 41291 publications receiving 1138269 citations. The organization is also known as: LaTrobe University & LTU.


Papers
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Journal ArticleDOI
TL;DR: The different approaches that qualitative researchers can use to make sense of their data including thematic analysis, narrative analysis, discourse analysis and semiotic analysis are set out.
Abstract: Qualitative inquiry requires that collected data is organised in a meaningful way, and this is referred to as data analysis. Through analytic processes, researchers turn what can be voluminous data into understandable and insightful analysis. This paper sets out the different approaches that qualitative researchers can use to make sense of their data including thematic analysis, narrative analysis, discourse analysis and semiotic analysis and discusses the ways that qualitative researchers can analyse their data. I first discuss salient issues in performing qualitative data analysis, and then proceed to provide some suggestions on different methods of data analysis in qualitative research. Finally, I provide some discussion on the use of computer-assisted data analysis.

319 citations

Journal ArticleDOI
TL;DR: In this article, the regenerative-dose single-aliquot protocol was proposed to correct for sensitivity changes with regeneration cycle and requires only one aliquot for the estimation of the equivalent dose (D e ).

319 citations

Journal ArticleDOI
TL;DR: There is preliminary evidence that positive psychological responses are associated with a higher rate of returning to sport following athletic injury, and should be taken into account by clinicians during rehabilitation.
Abstract: Background Psychological factors have been shown to be associated with the recovery and rehabilitation period following sports injury, but less is known about the psychological response associated with returning to sport after injury. The aim of this review was to identify psychological factors associated with returning to sport following sports injury evaluated with the self-determination theory framework. Study design Systematic review. Method Electronic databases were searched from the earliest possible entry to March 2012. Quantitative studies were reviewed that included athletes who had sustained an athletic injury, reported the return to sport rate and measured at least one psychological variable. The risk of bias in each study was appraised with a quality checklist. Results Eleven studies that evaluated 983 athletes and 15 psychological factors were included for review. The three central elements of self-determination theory—autonomy, competence and relatedness were found to be related to returning to sport following injury. Positive psychological responses including motivation, confidence and low fear were associated with a greater likelihood of returning to the preinjury level of participation and returning to sport more quickly. Fear was a prominent emotional response at the time of returning to sport despite the fact that overall emotions became more positive as recovery and rehabilitation progressed. Conclusions There is preliminary evidence that positive psychological responses are associated with a higher rate of returning to sport following athletic injury, and should be taken into account by clinicians during rehabilitation.

318 citations

Journal ArticleDOI
TL;DR: Improved staff education and rehabilitation programmes providing clients and carers with strategies to overcome communication breakdown is required and a multidisciplinary perspective to the assessment and remediation of older adults is recommended.
Abstract: With increasing longevity among populations, age-related vision and hearing impairments are becoming prevalent conditions in the older adult populations. In combination dual sensory loss occurs. Du...

316 citations

Proceedings ArticleDOI
31 Oct 1993
TL;DR: An adaptive Gaussian filtering algorithm is proposed in which the filter variance is adapted to both the noise characteristics and the local variance of the signal.
Abstract: Gaussian filtering has been intensively studied in image processing and computer vision. Using a Gaussian filter for noise suppression, the noise is smoothed out, at the same time the signal is also distorted. The use of a Gaussian filter as pre-processing for edge detection will also give rise to edge position displacement, edges vanishing, and phantom edges. Here, the authors first review various techniques for these problems. They then propose an adaptive Gaussian filtering algorithm in which the filter variance is adapted to both the noise characteristics and the local variance of the signal. >

316 citations


Authors

Showing all 13601 results

NameH-indexPapersCitations
Rasmus Nielsen13555684898
C. N. R. Rao133164686718
James Whelan12878689180
Jacqueline Batley119121268752
Eske Willerslev11536743039
Jonathan E. Shaw114629108114
Ary A. Hoffmann11390755354
Mike Clarke1131037164328
Richard J. Simpson11385059378
Alan F. Cowman11137938240
David C. Page11050944119
Richard Gray10980878580
David S. Wishart10852376652
Alan G. Marshall107106046904
David A. Williams10663342058
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023102
2022398
20213,407
20202,992
20192,661
20182,394