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
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International Institute for Applied Systems Analysis1, Simon Fraser University2, University College London3, Queensland University of Technology4, University of Sydney5, University of Natural Resources and Life Sciences, Vienna6, University of Zurich7, Museum für Naturkunde8, University of Wisconsin-Madison9, UNESCO-IHE Institute for Water Education10, World Meteorological Organization11, Commonwealth Scientific and Industrial Research Organisation12, Federal Statistical Office13, United Nations14, Yale-NUS College15, University of Dundee16, Autonomous University of Barcelona17, Woodrow Wilson International Center for Scholars18, Stockholm Environment Institute19
TL;DR: In this article, the authors present a roadmap that outlines how citizen science can be integrated into the formal sustainable development goals reporting mechanisms, which will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen scientists can make a real contribution.
Abstract: Traditional data sources are not sufficient for measuring the United Nations Sustainable Development Goals. New and non-traditional sources of data are required. Citizen science is an emerging example of a non-traditional data source that is already making a contribution. In this Perspective, we present a roadmap that outlines how citizen science can be integrated into the formal Sustainable Development Goals reporting mechanisms. Success will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen science can make a real contribution.
324 citations
01 Aug 2010
TL;DR: The Good Starts Study as mentioned in this paper used a mix of both method and theory from anthropology and social epidemiology to identify the psychosocial factors that assist youth with refugee backgrounds in making a good start in their new country.
Abstract: For young people with refugee backgrounds, establishing a sense of belonging to their family and community, and to their country of resettlement is essential for wellbeing. This paper describes the psychosocial factors associated with subjective health and wellbeing outcomes among a cohort of 97 refugee youth (aged 11-19) during their first three years in Melbourne, Australia. The findings reported here are drawn from the Good Starts Study, a longitudinal investigation of settlement and wellbeing among refugee youth conducted between 2004 and 2008. The overall aim of Good Starts was to identify the psychosocial factors that assist youth with refugee backgrounds in making a good start in their new country. A particular focus was on key transitions: from pre-arrival to Australia, from the language school to mainstream school, and from mainstream school to higher education or to the workforce. Good Starts used a mix of both method and theory from anthropology and social epidemiology. Using standardized measures of wellbeing and generalised estimating equations to model the predictors of wellbeing over time, this paper reports that key factors strongly associated with wellbeing outcomes are those that can be described as indicators of belonging e the most important being subjective social status in the broader Australian community, perceived discrimination and bullying. We argue that settlement specific policies and programs can ultimately be effective if embedded within a broader socially inclusive society - one that offers real opportunities for youth with refugee backgrounds to flourish.
324 citations
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TL;DR: The authors explored the environmental context of female representation on corporate boards of directors, using data from 43 countries and found that countries with higher representation of women on boards are more likely to have women in senior management and more equal ratios of male to female pay.
Abstract: A growing body of ethics research investigates gender diversity and governance on corporate boards, at individual and firm levels, in single country studies. In this study, we explore the environmental context of female representation on corporate boards of directors, using data from 43 countries. We suggest that women’s representation on corporate boards may be shaped by the larger environment, including the social, political and economic structures of individual countries. We use logit regression to conduct our analysis. Our results indicate that countries with higher representation of women on boards are more likely to have women in senior management and more equal ratios of male to female pay. However, we find that countries with a longer tradition of women’s political representation are less likely to have high levels of female board representation.
323 citations
01 Jan 2008
TL;DR: Workflow nets, a particular class of Petri nets, have become one of the standard ways to model and analyze workflows as mentioned in this paper, and they are used as an abstraction of the workflow that is used to check the so-called soundness property.
Abstract: Workflow nets, a particular class of Petri nets, have become one of the standard ways to model and analyze workflows. Typically, they are used as an abstraction of the workflow that is used to check the so-called soundness property. This property guarantees the absence of livelocks, deadlocks, and other anomalies that can be detected without domain knowledge. Several authors have proposed alternative notions of soundness and have suggested to use more expressive languages, e.g., models with cancellations or priorities. This paper provides an overview of the different notions of soundness and investigates these in the presence of different extensions of workflow nets. We will show that the eight soundness notions described in the literature are decidable for workflow nets. However, most extensions will make all of these notions undecidable. These new results show the theoretical limits of workflow verification. Moreover, we discuss some of the analysis approaches described in the literature.
323 citations
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TL;DR: A multiscale morphological dilation-erosion smoothing operation and its associated scale-space expansion for multidimensional signals are proposed and a scale- space monotonic property for signal extrema is demonstrated.
Abstract: A multiscale morphological dilation-erosion smoothing operation and its associated scale-space expansion for multidimensional signals are proposed. Properties of this smoothing operation are developed and, in particular a scale-space monotonic property for signal extrema is demonstrated. Scale-space fingerprints from this approach have advantages over Gaussian scale-space fingerprints in that: they are defined for negative values of the scale parameter; have monotonic properties in two and higher dimensions; do not cause features to be shifted by the smoothing; and allow efficient computation. The application of reduced multiscale dilation-erosion fingerprints to the surface matching of terrain is demonstrated.
322 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 |