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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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Book ChapterDOI
05 Jun 2000
TL;DR: This paper investigates to what extent transformations are possible in the context of various syntactical restrictions (the most restrictive of which will be referred to as structured workflows) and provides a deep insight into the consequences of imposing such restrictions.
Abstract: While there are many similarities between the languages of the various workflow management systems, there are also significant differences. One particular area of differences is caused by the fact that different systems impose different syntactic restrictions. In such cases, business analysts have to choose between either conforming to the language in their specifications or transforming these specifications afterwards. The latter option is preferable as this allows for a separation of concerns. In this paper we investigate to what extent such transformations are possible in the context of various syntactical restrictions (the most restrictive of which will be referred to as structured workflows). We also provide a deep insight into the consequences, particularly in terms of expressive power, of imposing such restrictions.

269 citations

Journal ArticleDOI
TL;DR: It is reported that VO functions in a more complicated way in PEC process than previously reported, and improved bulk conductivity and surface catalysis are beneficial for bulk charge transfer and surface charge consumption while interfacial charge transfer deteriorates because of recombination through VO -induced trap states at the S-E interface.
Abstract: Oxygen vacancy (VO) engineering is an effective method to tune the photoelectrochemical (PEC) performance, but the influence of VO on photoelectrodes is not well understood. Using hematite as a prototype, we herein report that VO functions in a more complicated way in PEC process than previously reported. Through a comprehensive analysis of the key charge transfer and surface reaction steps in PEC processes on a hematite photoanode, we clarify that VO can facilitate surface electrocatalytic processes while leading to severe interfacial recombination at the semiconductor/electrolyte (S‐E) interface, in addition to the well‐reported improvements in bulk conductivity. The improved bulk conductivity and surface catalysis are beneficial for bulk charge transfer and surface charge consumption while interfacial charge transfer deteriorates because of recombination through VO‐induced trap states at the S‐E interface.

268 citations

Journal ArticleDOI
TL;DR: This work outlines a catalogue of widely applicable, standardised metrics for analysing Twitter-based communication, with particular focus on hashtagged exchanges and points to potential uses for such metrics, presenting an indication of what broader comparisons of diverse cases can achieve.
Abstract: Twitter is an important and influential social media platform, but much research into its uses remains centred around isolated cases – e.g. of events in political communication, crisis communication, or popular culture, often coordinated by shared hashtags (brief keywords, prefixed with the symbol ‘#’). In particular, a lack of standard metrics for comparing communicative patterns across cases prevents researchers from developing a more comprehensive perspective on the diverse, sometimes crucial roles which hashtags play in Twitter-based communication. We address this problem by outlining a catalogue of widely applicable, standardised metrics for analysing Twitter-based communication, with particular focus on hashtagged exchanges. We also point to potential uses for such metrics, presenting an indication of what broader comparisons of diverse cases can achieve.

268 citations

01 Jan 2004
TL;DR: A series of workow data patterns are described that aim to capture the various ways in which data is represented and utilised in workows by delineating these patterns in a form that is independent of specific workow technologies and modelling languages.
Abstract: Workow systems seek to provide an implementation vehicle for complex, recurring business processes. Notwithstanding this common objective, there are a variety of distinct features offered by commercial workow management systems. These differences result in significant variations in the ability of distinct tools to represent and implement the plethora of requirements that may arise in contemporary business processes. Many of these requirements recur quite frequently during the requirements analysis activity for workow systems and abstractions of these requirements serve as a useful means of identifying the key components of workow languages. Previous work has identified a number of workow control patterns which characterise the range of control ow constructs that might be encountered when modelling and analysing workow. In this paper, we describe a series of workow data patterns that aim to capture the various ways in which data is represented and utilised in workows. By delineating these patterns in a form that is independent of specific workow technologies and modelling languages, we are able to provide a comprehensive treatment of the workow data perspective and we subsequenty use these patterns as the basis for a detailed comparison of a number of commercially available workow management systems and business process modelling languages.

268 citations

Journal ArticleDOI
TL;DR: Whether device reliability is more important than innovation is examined, which enables a comparison of the relative merits of optimising existing DPIs or seeking to develop novel devices.

268 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