Institution
Queensland University of Technology
Education•Brisbane, Queensland, Australia•
About: Queensland University of Technology is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 14188 authors who have published 55022 publications receiving 1496237 citations. The organization is also known as: QUT.
Topics: Population, Poison control, Raman spectroscopy, Health care, Curriculum
Papers published on a yearly basis
Papers
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TL;DR: This approach suggests that talent development programmes should eschew the notion of common optimal performance models, emphasize the individual nature of pathways to expertise, and identify the range of interacting constraints that impinge on performance potential of individual athletes, rather than evaluating current performance on physical tests referenced to group norms.
Abstract: Research on expertise, talent identification and development has tended to be mono-disciplinary, typically adopting genocentric or environmentalist positions, with an overriding focus on operational issues. In this paper, the validity of dualist positions on sport expertise is evaluated. It is argued that, to advance understanding of expertise and talent development, a shift towards a multidisciplinary and integrative science focus is necessary, along with the development of a comprehensive multidisciplinary theoretical rationale. Here we elucidate dynamical systems theory as a multidisciplinary theoretical rationale for capturing how multiple interacting constraints can shape the development of expert performers. This approach suggests that talent development programmes should eschew the notion of common optimal performance models, emphasize the individual nature of pathways to expertise, and identify the range of interacting constraints that impinge on performance potential of individual athletes, rather than evaluating current performance on physical tests referenced to group norms.
322 citations
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TL;DR: The suitability of the MFBIA technique as a reliable diagnostic procedure for the early detection of lymphedema was confirmed as well as the sensitivity and specificity of the technique.
Abstract: Multiple frequency bioelectrical impedance analysis (MFBIA) has previously been shown to provide accurate relative measures of lymphedema in the upper limb of patients (1). This paper reports the results of a three year prospective study to evaluate the efficacy of MFBIA to predict the early onset of lymphedema in patients following treatment for breast cancer. Bioelectrical impedance measurements and circumferential measurements of each upper limb were recorded in healthy control subjects (n=60) to determine the normal range of the ratio (dominant/non-dominant) of extracellular and total limb volumes respectively. Patients undergoing surgery for the treatment of breast cancer were recruited as the study group; MFBIA and circumferential measurements were recorded pre-surgery, one month post-surgery and then at two month intervals for 24 months. One hundred and two patients were recruited into the study. Twenty patients developed lymphedema in the 24 months follow up period of this study. In each of these 20 cases MFBIA predicted the onset of the condition up to 10 months before the condition could be clinically diagnosed. Estimates of the sensitivity and specificity were both approximately 100%. At the time of detection by MFBIA, only one of the patients returned a positive test result from the total limb volumes determined from the circumferential measures. These results confirmed the suitability of the MFBIA technique as a reliable diagnostic procedure for the early detection of lymphedema.
321 citations
01 Apr 1996
TL;DR: In this paper, the authors describe the development and use of a model designed to optimise train schedules on single line rail corridors, which is used as a decision support tool for train dispatchers to schedule trains in real time in an optimal way.
Abstract: This paper describes the development and use of a model designed to optimise train schedules on single line rail corridors. The model has been developed with two major applications in mind, namely: as a decision support tool for train dispatchers to schedule trains in real time in an optimal way; and as a planning tool to evaluate the impact of timetable changes, as well as railroad infrastructure changes. The mathematical programming model described here schedules trains over a single line track. The priority of each train in a conflict depends on an estimate of the remaining crossing and overtaking delay, as well as the current delay. This priority is used in a branch and bound procedure to allow and optimal solution to reasonable size train scheduling problems to be determined efficiently. The use of the model in an application to a 'real life' problem is discussed. The impacts of changing demand by increasing the number of trains, and reducing the number of sidings for a 150 kilometre section of single line track are discussed. It is concluded that the model is able to produce useful results in terms of optimal schedules in a reasonable time for the test applications shown here.
321 citations
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TL;DR: In this paper, the relationship between exposure to particles emitted by cooking activities and their subsequent effects on health cannot be evaluated without understanding the properties of the emitted aerosol or the main parameters that influence particle emissions during cooking.
320 citations
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TL;DR: Causal layered analysis as mentioned in this paper consists of four levels: the litany, social causes, discourse/worldview and myth/metaphor, and the challenge is to conduct research that moves up and down these layers of analysis and thus is inclusive of different ways of knowing.
320 citations
Authors
Showing all 14597 results
Name | H-index | Papers | Citations |
---|---|---|---|
Nicholas G. Martin | 192 | 1770 | 161952 |
Paul M. Thompson | 183 | 2271 | 146736 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Robert G. Parton | 136 | 459 | 59737 |
Tim J Cole | 136 | 827 | 92998 |
Daniel I. Chasman | 134 | 484 | 72180 |
David Smith | 129 | 2184 | 100917 |
Dmitri Golberg | 129 | 1024 | 61788 |
Chao Zhang | 127 | 3119 | 84711 |
Shi Xue Dou | 122 | 2028 | 74031 |
Thomas H. Marwick | 121 | 1063 | 58763 |
Peter J. Anderson | 120 | 966 | 63635 |
Bruno S. Frey | 119 | 900 | 65368 |
David M. Evans | 116 | 632 | 74420 |
Michael Pollak | 114 | 663 | 57793 |