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Institution

University of Queensland

EducationBrisbane, Queensland, Australia
About: University of Queensland 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 51138 authors who have published 155721 publications receiving 5717659 citations. The organization is also known as: UQ & The University of Queensland.


Papers
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Journal ArticleDOI
TL;DR: This review aims to comprehensively summarize the state-of-the-art strategies for the realization of high-performance thermoelectric materials and devices by establishing the links between synthesis, structural characteristics, properties, underlying chemistry and physics.
Abstract: The long-standing popularity of thermoelectric materials has contributed to the creation of various thermoelectric devices and stimulated the development of strategies to improve their thermoelectric performance. In this review, we aim to comprehensively summarize the state-of-the-art strategies for the realization of high-performance thermoelectric materials and devices by establishing the links between synthesis, structural characteristics, properties, underlying chemistry and physics, including structural design (point defects, dislocations, interfaces, inclusions, and pores), multidimensional design (quantum dots/wires, nanoparticles, nanowires, nano- or microbelts, few-layered nanosheets, nano- or microplates, thin films, single crystals, and polycrystalline bulks), and advanced device design (thermoelectric modules, miniature generators and coolers, and flexible thermoelectric generators). The outline of each strategy starts with a concise presentation of their fundamentals and carefully selected examples. In the end, we point out the controversies, challenges, and outlooks toward the future development of thermoelectric materials and devices. Overall, this review will serve to help materials scientists, chemists, and physicists, particularly students and young researchers, in selecting suitable strategies for the improvement of thermoelectrics and potentially other relevant energy conversion technologies.

951 citations

Journal ArticleDOI
TL;DR: Focus group discussion is frequently used as a qualitative approach to gain an in-depth understanding of social issues as mentioned in this paper, which aims to obtain data from a purposely selected group of individuals rather than from a statistically representative sample of a broader population.
Abstract: Focus group discussion is frequently used as a qualitative approach to gain an in-depth understanding of social issues. The method aims to obtain data from a purposely selected group of individuals rather than from a statistically representative sample of a broader population. Even though the application of this method in conservation research has been extensive, there are no critical assessment of the application of the technique. In addition, there are no readily available guidelines for conservation researchers. Here, we reviewed the applications of focus group discussion within biodiversity and conservation research between 1996 and April 2017. We begin with a brief explanation of the technique for first-time users. We then discuss in detail the empirical applications of this technique in conservation based on a structured literature review (using Scopus). The screening process resulted in 170 articles, the majority of which (67, n = 114,) were published between 2011 and 2017. Rarely was the method used as a stand-alone technique. The number of participants per focus group (where reported) ranged from 3 to 21 participants with a median of 10 participants. There were seven (median) focus group meetings per study. Focus group discussion sessions lasted for 90 (median) minutes. Four main themes emerged from the review: understanding of people's perspectives regarding conservation (32), followed by the assessment of conservation and livelihoods practices (21), examination of challenges and impacts of resource management interventions (19) and documenting the value of indigenous knowledge systems (16). Most of the studies were in Africa (n=76), followed by Asia (n=44), and Europe (n=30). We noted serious gaps in the reporting of the methodological details in the reviewed papers. More than half of the studies (n=101) did not report the sample size and group size (n=93), whereas 54 studies did not mention the number of focus group discussion sessions while reporting results. Rarely have the studies provided any information on the rationale for choosing the technique. We have provided guidelines to improve the standard of reporting and future application of the technique for conservation. © 2018 The Authors. Methods in Ecology and Evolution © 2018 British Ecological Society

950 citations

Journal ArticleDOI
TL;DR: Analysis of changes in species richness and functional diversity at varying agricultural land use intensity levels in plant, bird, and mammal communities finds declines were steeper than predicted by species number and changes in FD were indistinguishable from changes inspecies richness.
Abstract: Land use intensification can greatly reduce species richness and ecosystem functioning. However, species richness determines ecosystem functioning through the diversity and values of traits of species present. Here, we analyze changes in species richness and functional diversity (FD) at varying agricultural land use intensity levels. We test hypotheses of FD responses to land use intensification in plant, bird, and mammal communities using trait data compiled for 1600+ species. To isolate changes in FD from changes in species richness we compare the FD of communities to the null expectations of FD values. In over one-quarter of the bird and mammal communities impacted by agriculture, declines in FD were steeper than predicted by species number. In plant communities, changes in FD were indistinguishable from changes in species richness. Land use intensification can reduce the functional diversity of animal communities beyond changes in species richness alone, potentially imperiling provisioning of ecosystem services.

948 citations

Journal ArticleDOI
TL;DR: The social identity approach (comprising social identity theory and self-categorization theory) is a highly influential theory of group processes and intergroup relations, having redefined how we think about numerous group-mediated phenomena.
Abstract: The social identity approach (comprising social identity theory and self-categorization theory) is a highly influential theory of group processes and intergroup relations, having redefined how we think about numerous group-mediated phenomena. Since its emergence in the early 1970s, the social identity approach has been elaborated, re-interpreted, and occasionally misinterpreted. The goal of this paper is to provide a critical, historical review of how thinking and research within the social identity approach has evolved. The core principles of the theories are reviewed and discussed, and their effect on the field assessed. Strengths and limitations of the approach are discussed, with an eye to future developments.

948 citations

Journal ArticleDOI
06 Feb 2015-PLOS ONE
TL;DR: Mental, neurological and substance use disorders contribute to a significant proportion of disease burden and health systems can respond by implementing established, cost effective interventions, or by supporting the research necessary to develop better prevention and treatment options.
Abstract: Background The Global Burden of Disease Study 2010 (GBD 2010), estimated that a substantial proportion of the world’s disease burden came from mental, neurological and substance use disorders. In this paper, we used GBD 2010 data to investigate time, year, region and age specific trends in burden due to mental, neurological and substance use disorders.

947 citations


Authors

Showing all 52145 results

NameH-indexPapersCitations
Graham A. Colditz2611542256034
George Davey Smith2242540248373
David J. Hunter2131836207050
Daniel Levy212933194778
Christopher J L Murray209754310329
Matthew Meyerson194553243726
Luigi Ferrucci1931601181199
Nicholas G. Martin1921770161952
Paul M. Thompson1832271146736
Jie Zhang1784857221720
Alan D. Lopez172863259291
Ian J. Deary1661795114161
Steven N. Blair165879132929
Carlos Bustamante161770106053
David W. Johnson1602714140778
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023507
20221,728
202111,678
202010,832
20199,671
20189,015