Institution
Griffith University
Education•Brisbane, Queensland, Australia•
About: Griffith University 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 13830 authors who have published 49318 publications receiving 1420865 citations.
Topics: Population, Context (language use), Poison control, Health care, Tourism
Papers published on a yearly basis
Papers
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TL;DR: Body condition in a medium–sized shorebird, the great knot, before and after a flight of 5400 km from Australia to China during northward migration is studied, suggesting that apart from brains and lungs no organs are homeostatic during long–distance flight.
Abstract: Since the early 1960s it has been held that migrating birds deposit and use only fat as fuel during migratory flight, with the non–fat portion of the body remaining homeostatic. Recent evidence from field studies has shown large changes in organ sizes in fuelling birds, and theory on fuel use suggests protein may be a necessary fuel during flight. However, an absence of information on the body condition of migrants before and after a long flight has hampered understanding of the dynamics of organs during sustained flight. We studied body condition in a medium–sized shorebird, the great knot ( Calidris tenuirostris ), before and after a flight of 5400 km from Australia to China during northward migration. Not only did these birds show the expected large reduction in fat content after migration, there was also a decrease in lean tissue mass, with significant decreases in seven organs. The reduction in functional components is reflected in a lowering of the basal metabolic rate by 46%. Recent flight models have tried to separate the ‘flexible’ part of the body from the constant portion. Our results suggest that apart from brains and lungs no organs are homeostatic during long–distance flight. Such organ reductions may be a crucial adaptation for long–distance flight in birds.
229 citations
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TL;DR: It is demonstrated that these miRNAs modulate T cell activation genes in a knock-in and knock-down T cell model and also up-regulated in MS whole blood mRNA, suggesting these mi RNAs or their analogues may provide useful targets for new therapeutic approaches.
Abstract: It is well established that Multiple Sclerosis (MS) is an immune mediated disease. Little is known about what drives the differential control of the immune system in MS patients compared to unaffected individuals. MicroRNAs (miRNAs) are small non-coding nucleic acids that are involved in the control of gene expression. Their potential role in T cell activation and neurodegenerative disease has recently been recognised and they are therefore excellent candidates for further studies in MS. We investigated the transcriptome of currently known miRNAs using miRNA microarray analysis in peripheral blood
229 citations
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TL;DR: In this paper, the authors reviewed the process of hydrologic classification, differentiating between an approach based on deductive reasoning using environmental regionalization and one based on inductive inference using streamflow classification.
Abstract: Hydrologic classification is one of the most widely applied tasks in ecohydrology. During the last two decades, a considerable effort has gone into analysis and development of methodological approaches to hydrologic classification. We reviewed the process of hydrologic classification, differentiating between an approach based on deductive reasoning using environmental regionalization, hydrologic regionalization and environmental classification whereby environmental variables assumed to be key determinants of hydrology are analysed and one based on inductive reasoning using streamflow classification whereby hydrologic data are analysed directly. We explored past applications in ecohydrology, highlighting the utility of classifications in the extrapolation of hydrologic information across sparsely gauged landscapes, the description of spatial patterns in hydrologic variability, aiding water resource management, and in the identification and prioritization of conservation areas. We introduce an overarching methodological framework that depicts critical components of the classification process and summarize important advantages and disadvantages of commonly used statistical approaches to characterize and predict hydrologic classes. Our hope is that researchers and managers will be better informed when having to make decisions regarding the selection and proper implementation of methods for hydrologic classification in the future. Copyright © 2011 John Wiley & Sons, Ltd.
229 citations
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TL;DR: In this paper, the authors concentrate initially on some of the problems of autonomist Marxist concepts such as ''immaterial labour', ''affective labour'' and ''precarity''.
Abstract: In keeping with the focus of this special section, we concentrate initially on some of the problems of autonomist Marxist concepts such as `immaterial labour', `affective labour' and `precarity' fo...
229 citations
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TL;DR: This paper describes the rationale for choosing the initial set of definitions within the study and the subsequent problems and developments, and proposes unifying terminologies for definitional needs.
Abstract: Based on the experience matured during the 15 years of the WHO/EURO Multicentre Study on Suicidal Behavior, this paper provides an excursus on main elements that characterize components for definitional needs. It describes the rationale for choosing the initial set of definitions within the study and the subsequent problems and developments. As a result, unifying terminologies are proposed.
228 citations
Authors
Showing all 14162 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rasmus Nielsen | 135 | 556 | 84898 |
Claudiu T. Supuran | 134 | 1973 | 86850 |
Jeffrey D. Sachs | 130 | 692 | 86589 |
David Smith | 129 | 2184 | 100917 |
Michael R. Green | 126 | 537 | 57447 |
John J. McGrath | 120 | 791 | 124804 |
E. K. U. Gross | 119 | 1154 | 75970 |
David M. Evans | 116 | 632 | 74420 |
Mike Clarke | 113 | 1037 | 164328 |
Wayne Hall | 111 | 1260 | 75606 |
Patrick J. McGrath | 107 | 681 | 51940 |
Peter K. Smith | 107 | 855 | 49174 |
Erko Stackebrandt | 106 | 633 | 68201 |
Phyllis Butow | 102 | 731 | 37752 |
John Quackenbush | 99 | 427 | 67029 |