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 & Context (language use). The organization has 14188 authors who have published 55022 publications receiving 1496237 citations. The organization is also known as: QUT.
Papers published on a yearly basis
Papers
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TL;DR: This paper examined cold and heat waves in 99 US cities for 14 years (1987-2000) and investigated how the risk of death depended on the temperature threshold used to define a wave, and a wave's timing, duration and intensity.
228 citations
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TL;DR: Babies fed formula with and without LCPUFA did not differ in cognitive or motor development, growth, infection, atopy or tolerance, and there was no evidence of a beneficial or adverse effect on cognitive and motor development or growth up to 18 months.
228 citations
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TL;DR: In this article, approximate Bayesian computation (ABC) is used to estimate the parameters of a stochastic process model for a macroparasite population within a host.
Abstract: We estimate the parameters of a stochastic process model for a macroparasite population within a host using approximate Bayesian computation (ABC). The immunity of the host is an unobserved model variable and only mature macroparasites at sacrifice of the host are counted. With very limited data, process rates are inferred reasonably precisely. Modeling involves a three variable Markov process for which the observed data likelihood is computationally intractable. ABC methods are particularly useful when the likelihood is analytically or computationally intractable. The ABC algorithm we present is based on sequential Monte Carlo, is adaptive in nature, and overcomes some drawbacks of previous approaches to ABC. The algorithm is validated on a test example involving simulated data from an autologistic model before being used to infer parameters of the Markov process model for experimental data. The fitted model explains the observed extra-binomial variation in terms of a zero-one immunity variable, which has a short-lived presence in the host.
228 citations
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TL;DR: This article summarises the position of the Clinical Oncology Society of Australia (COSA) on the role of exercise in cancer care, taking into account the strengths and limitations of the evidence base.
Abstract: Introduction: Clinical research has established exercise as a safe and effective intervention to counteract the adverse physical and psychological effects of cancer and its treatment. This article summarises the position of the Clinical Oncology Society of Australia (COSA) on the role of exercise in cancer care, taking into account the strengths and limitations of the evidence base. It provides guidance for all health professionals involved in the care of people with cancer about integrating exercise into routine cancer care. Main recommendations: COSA calls for: • exercise to be embedded as part of standard practice in cancer care and to be viewed as an adjunct therapy that helps counteract the adverse effects of cancer and its treatment; • all members of the multidisciplinary cancer team to promote physical activity and recommend that people with cancer adhere to exercise guidelines; and • best practice cancer care to include referral to an accredited exercise physiologist or physiotherapist with experience in cancer care. Changes in management as a result of the guideline: COSA encourages all health professionals involved in the care of people with cancer to: • discuss the role of exercise in cancer recovery; • recommend their patients adhere to exercise guidelines (avoid inactivity and progress towards at least 150 minutes of moderate intensity aerobic exercise and two to three moderate intensity resistance exercise sessions each week); and • refer their patients to a health professional who specialises in the prescription and delivery of exercise (ie, accredited exercise physiologist or physiotherapist with experience in cancer care).
228 citations
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TL;DR: The characteristics of young people who may become highly involved with their mobile phone are provided, and neither self-esteem nor the need to belong significantly predicted mobile phone behaviour.
228 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 |