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Institution

Queensland University of Technology

EducationBrisbane, 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.


Papers
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Journal ArticleDOI
TL;DR: The purpose of the review is to assess state of the art and future perspectives of the so called "smart biomaterials" from a translational science and specifically clinical point of view and to filter out and discuss which biomedical advances and innovations help to achieve the objective to translate smart biomMaterials from bench to bedside.

428 citations

Journal ArticleDOI
Ryan M Barber1, Nancy Fullman1, Reed J D Sorensen1, Thomas J. Bollyky  +757 moreInstitutions (314)
TL;DR: In this paper, the authors use the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015.

427 citations

01 Jan 2011
TL;DR: In this paper, a melt electrospun fibers of poly(ϵ-caprolactone) are accurately deposited using an automated stage as the collector, which matches the translation speed of the collector to the speed of a melting jet to establish control over the location of fiber deposition.
Abstract: Melt electrospun fibers of poly(ϵ-caprolactone) are accurately deposited using an automated stage as the collector. Matching the translation speed of the collector to the speed of the melt electrospinning jet establishes control over the location of fiber deposition. In this sense, melt electrospinning writing can be seen to bridge the gap between solution electrospinning and direct writing additive manufacturing processes.

425 citations

Journal ArticleDOI
TL;DR: In this article, an auxiliary variable method is presented which requires only that independent samples can be drawn from the unnormalised density at any particular parameter value, and is illustrated by producing posterior samples for parameters of the Ising model given a particular lattice realisation.
Abstract: Maximum likelihood parameter estimation and sampling from Bayesian posterior distributions are problematic when the probability density for the parameter of interest involves an intractable normalising constant which is also a function of that parameter. In this paper, an auxiliary variable method is presented which requires only that independent samples can be drawn from the unnormalised density at any particular parameter value. The proposal distribution is constructed so that the normalising constant cancels from the Metropolis-Hastings ratio. The method is illustrated by producing posterior samples for parameters of the Ising model given a particular lattice realisation.

425 citations

Journal ArticleDOI
TL;DR: In this article, the role of personality and self-esteem in university students' use of communication technologies was examined, and more disagreeable individuals spent increased time on calls, whereas extraverted and neurotic individuals reported increased time spent text messaging.
Abstract: We examined the role of personality and self-esteem in university students' (N = 200) use of communication technologies. More disagreeable individuals spent increased time on calls, whereas extraverted and neurotic individuals reported increased time spent text messaging. More disagreeable individuals and those with lower self-esteem spent increased time using instant messaging (IM). For addictive tendencies related to communication technologies, more neurotic individuals reported stronger mobile phone addictive tendencies, while more disagreeable individuals and those with lower self-esteem reported stronger IM addictive tendencies.

424 citations


Authors

Showing all 14597 results

NameH-indexPapersCitations
Nicholas G. Martin1921770161952
Paul M. Thompson1832271146736
Christopher J. O'Donnell159869126278
Robert G. Parton13645959737
Tim J Cole13682792998
Daniel I. Chasman13448472180
David Smith1292184100917
Dmitri Golberg129102461788
Chao Zhang127311984711
Shi Xue Dou122202874031
Thomas H. Marwick121106358763
Peter J. Anderson12096663635
Bruno S. Frey11990065368
David M. Evans11663274420
Michael Pollak11466357793
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023205
2022641
20214,218
20204,026
20193,623
20183,374