Institution
University of Wollongong
Education•Wollongong, New South Wales, Australia•
About: University of Wollongong is a education organization based out in Wollongong, New South Wales, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 15674 authors who have published 46658 publications receiving 1197471 citations. The organization is also known as: UOW & Wollongong University.
Topics: Population, Context (language use), Graphene, Mental health, Health care
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors review data relating to the effectiveness of prescribed burning in Australia and address two questions: (1) to what extent can fuel reduction burning reduce the risk of loss of human life and economic assets posed from wildfires? (2)
Abstract: Prescribed burning is a commonly applied management tool, and there has been considerable debate over the efficacy of its application. We review data relating to the effectiveness of prescribed burning in Australia. Specifically, we address two questions: (1) to what extent can fuel reduction burning reduce the risk of loss of human life and economic assets posed from wildfires? (2) To what extent can prescribed burning be used to reduce the risk of biodiversity loss? Data suggest that prescribed burning can achieve a reduction in the extent of wildfires; however, at such levels, the result is an overall increase in the total area of the landscape burnt. Simulation modelling indicates that fuel reduction has less influence than weather on the extent of unplanned fire. The need to incorporate ecological values into prescribed burning programmes is becoming increasingly important. Insufficient data are available to determine if existing programs have been successful. There are numerous factors that prevent the implementation of better prescribed burning practices; most relate to a lack of clearly defined, measurable objectives. An adaptive risk management framework combined with enhanced partnerships between scientists and fire-management agencies is necessary to ensure that ecological and fuel reduction objectives are achieved.
217 citations
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TL;DR: Functional comparisons of a family of three poly(2-alkylacrylic acid)s were compared and the ability of these polymers to disrupt endosomes and lysosomes in cultured human cells were examined to facilitate the rational design of future endosomal-disrupting polymers for drug delivery.
Abstract: The permeability barrier posed by cell membranes represents a challenge for the delivery of hydrophilic molecules into cells. We previously proposed that poly(2-alkylacrylic acid)s are endocytosed by cells into acidified vesicles and are there triggered by low pH to disrupt membranes and release the contents of endosomes/lysosomes to the cytosol. If this hypothesis is correct, these polymers could be valuable in drug-delivery applications. The present paper reports functional comparisons of a family of three poly(2-alkylacrylic acid)s. Poly(2-propylacrylic acid) (PPAA), poly(2-ethylacrylic acid) (PEAA) and poly(2-methylacrylic acid) (PMAA) were compared in red-blood-cell haemolysis assays and in a lipoplex (liposome-DNA complex) assay. We also directly examined the ability of these polymers to disrupt endosomes and lysosomes in cultured human cells. Our results show that: (i) unlike membrane-disruptive peptides, the endosomal-disruptive ability of poly(2-alkylacrylic acid)s cannot necessarily be predicted from their haemolytic activity at low pH, (ii) PPAA (but not PEAA or PMAA) potently facilitates gene transfection by cationic lipoplexes and (iii) endocytosed poly(2-alkylacrylic acid)s are triggered by luminal acidification to selectively disrupt endosomes (not lysosomes) and release their contents to the cytosol. These results will facilitate the rational design of future endosomal-disrupting polymers for drug delivery.
217 citations
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TL;DR: This article used logit models to predict financial literacy using the 2003 ANZ Survey of Adult Financial Literacy in Australia and found that financial literacy is highest for persons aged between 50 and 60 years, professionals, business and farm owners, and university/college graduates.
217 citations
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25 Jun 2008-Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
TL;DR: In this paper, a series of hot torsion test have been performed under a range of deformation conditions and the mechanical and microstructural features of dynamic recrystallization (DRX) were characterized to compare and contrast them with those of the post-dynamic recystallization.
Abstract: In order to improve the understanding of the dynamic and post-dynamic recrystallization behaviours of AISI 304 austenitic stainless steel, a series of hot torsion test have been performed under a range of deformation conditions. The mechanical and microstructural features of dynamic recrystallization (DRX) were characterized to compare and contrast them with those of the post-dynamic recrystallization. A necklace type of dynamically recrystallized microstructure was observed during hot deformation at 900 °C and at a strain rate of 0.01 s−1. Following deformation, the dependency of time for 50% recrystallization, t50, changed from “strain dependent” to “strain independent” at a transition strain (ɛ*), which is significantly beyond the peak. This transition strain was clearly linked to the strain for 50% dynamic recrystallization during deformation. The interrelations between the fraction of dynamically recrystallized microstructure, the evolution of post-dynamically recrystallized microstructure and the final grain size have been established. The results also showed an important role of grain growth on softening of deformed austenite.
217 citations
Authors
Showing all 15918 results
Name | H-index | Papers | Citations |
---|---|---|---|
Lei Jiang | 170 | 2244 | 135205 |
Menachem Elimelech | 157 | 547 | 95285 |
Yoshio Bando | 147 | 1234 | 80883 |
Paul Mitchell | 146 | 1378 | 95659 |
Jun Chen | 136 | 1856 | 77368 |
Zhen Li | 127 | 1712 | 71351 |
Neville Owen | 127 | 700 | 74166 |
Chao Zhang | 127 | 3119 | 84711 |
Jay Belsky | 124 | 441 | 55582 |
Shi Xue Dou | 122 | 2028 | 74031 |
Keith A. Johnson | 120 | 798 | 51034 |
William R. Forman | 120 | 800 | 53717 |
Yang Li | 117 | 1319 | 63111 |
Yusuke Yamauchi | 117 | 1000 | 51685 |
Guoxiu Wang | 117 | 654 | 46145 |