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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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01 Apr 2008
TL;DR: In this paper, the authors explore knowledge city and knowledge-based urban development concepts, discuss the principles of a knowledge city, and portray its distinguishing characteristics and processes, and argue Melbourne as an emerging knowledge city.
Abstract: This paper explores knowledge city and knowledge-based urban development concepts, discusses the principles of a knowledge city, and portrays its distinguishing characteristics and processes. It analyses Melbourne’s knowledge-based urban development experience by scrutinising its initiatives on culture, science, technology and innovation, and policies in urban, economic and social development. The paper also illustrates how the city administration played a key role in developing Melbourne as a globally recognised, entrepreneurial and competitive city. It concludes with arguing Melbourne as an emerging knowledge city, identifying its key success factors, and providing some insights for policy makers of other cities in designing their knowledge-based urban development.

226 citations

Journal ArticleDOI
TL;DR: WO3 nanoplate arrays with (002) oriented facets grown on fluorine doped SnO2 (FTO) glass substrates are tailored by tuning the precursor solution via a facile hydrothermal method.

226 citations

Journal ArticleDOI
TL;DR: A combinational analysis of the electronic, optical and mechanical properties of the compounds suggests that CsGeI3 based perovskite is the best Pb-free inorganic metal halide semiconductor for the solar cell application, however, the compound with solid solution of Cs Ge(I0.7Br0.3)3 is found to be mechanically more ductile than CsgeI3.
Abstract: Lead (Pb) free non-toxic perovskite solar cells have become more important in the commercialization of the photovoltaic devices. In this study the structural, electronic, optical and mechanical properties of Pb-free inorganic metal halide cubic perovskites CsBX3 (B = Sn, Ge; X = I, Br, Cl) for perovskite solar cells are simulated using first-principles Density Functional Theory (DFT). These compounds are semiconductors with direct band gap energy and mechanically stable. Results suggest that the materials have high absorption coefficient, low reflectivity and high optical conductivity with potential application in solar cells and other optoelectronic energy devices. On the basis of the optical properties, one can expect that the Germanium (Ge) would be a better replacement of Pb as Ge containing compounds have higher optical absorption and optical conductivity than that of Pb containing compounds. A combinational analysis of the electronic, optical and mechanical properties of the compounds suggests that CsGeI3 based perovskite is the best Pb-free inorganic metal halide semiconductor for the solar cell application. However, the compound with solid solution of CsGe(I0.7Br0.3)3 is found to be mechanically more ductile than CsGeI3. This study will also guide to obtain Pb-free organic perovskites for optoelectronic devices.

225 citations

Journal ArticleDOI
TL;DR: In this article, a systematic review was conducted to investigate the effectiveness of interventions to prevent first and recurrent foot ulcers in persons with diabetes who are at risk for ulceration.
Abstract: Prevention of foot ulcers in patients with diabetes is extremely important to help reduce the enormous burden on both patient and health resources. A comprehensive analysis of reported interventions is not currently available, but is needed to better inform caregivers about effective prevention. The aim of this systematic review is to investigate the effectiveness of interventions to prevent first and recurrent foot ulcers in persons with diabetes who are at-risk for ulceration. The available medical scientific literature in PubMed, EMBASE, CINAHL, and the Cochrane database was searched for original research studies on preventative interventions. Both controlled and non-controlled studies were selected. Data from controlled studies were assessed for methodological quality by two independent reviewers, and extracted and presented in evidence and risk of bias tables. From the identified records, a total of 30 controlled studies (of which 19 RCTs) and another 44 non-controlled studies were assessed and described. Few controlled studies, of generally low to moderate quality, were identified on the prevention of a first foot ulcer. For the prevention of recurrent plantar foot ulcers, multiple RCTs with low risk of bias show the benefit for the use of daily foot skin temperature measurements and consequent preventative actions, as well as for therapeutic footwear that demonstrates to relieve plantar pressure and that is worn by the patient. To prevent recurrence, some evidence exists for integrated foot care when it includes a combination of professional foot treatment, therapeutic footwear and patient education; for just a single session of patient education, no evidence exists. Surgical interventions can be effective in selected patients, but the evidence base is small. The evidence base to support the use of specific self-management and footwear interventions for the prevention of recurrent plantar foot ulcers is quite strong, but is small for the use of other, sometimes widely applied, interventions, and is practically non-existent for the prevention of a first foot ulcer and non-plantar foot ulcer. More controlled studies of high quality are needed in these areas.

225 citations

Journal ArticleDOI
TL;DR: In this paper, the strength of proportionality between two variables can be meaningfully and interpretably described by a new statistic ϕ which can be used instead of correlation as the basis of familiar analyses and visualisation methods, including co-expression networks and clustered heatmaps.
Abstract: In the life sciences, many measurement methods yield only the relative abundances of different components in a sample. With such relative—or compositional—data, differential expression needs careful interpretation, and correlation—a statistical workhorse for analyzing pairwise relationships—is an inappropriate measure of association. Using yeast gene expression data we show how correlation can be misleading and present proportionality as a valid alternative for relative data. We show how the strength of proportionality between two variables can be meaningfully and interpretably described by a new statistic ϕ which can be used instead of correlation as the basis of familiar analyses and visualisation methods, including co-expression networks and clustered heatmaps. While the main aim of this study is to present proportionality as a means to analyse relative data, it also raises intriguing questions about the molecular mechanisms underlying the proportional regulation of a range of yeast genes.

225 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