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: The ability of natural receptors to possess differential binding between atropisomers is an important factor when considering active and inactive atrop isomeric drugs, and has required the development of new techniques for atropselective synthesis of desired targets.
324 citations
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TL;DR: Findings indicate that most mouse strains develop metabolic defects on an HFD, however, there are inherent differences between strains, and thus the genetic background needs to be considered carefully in metabolic studies.
Abstract: Metabolic disorders are commonly investigated using knockout and transgenic mouse models. A variety of mouse strains have been used for this purpose. However, mouse strains can differ in their inherent propensities to develop metabolic disease, which may affect the experimental outcomes of metabolic studies. We have investigated strain-dependent differences in the susceptibility to diet-induced obesity and insulin resistance in five commonly used inbred mouse strains (C57BL/6J, 129X1/SvJ, BALB/c, DBA/2 and FVB/N). Mice were fed either a low-fat or a high-fat diet (HFD) for 8 weeks. Whole-body energy expenditure and body composition were then determined. Tissues were used to measure markers of mitochondrial metabolism, inflammation, oxidative stress and lipid accumulation. BL6, 129X1, DBA/2 and FVB/N mice were all susceptible to varying degrees to HFD-induced obesity, glucose intolerance and insulin resistance, but BALB/c mice exhibited some protection from these detrimental effects. This protection could not be explained by differences in mitochondrial metabolism or oxidative stress in liver or muscle, or inflammation in adipose tissue. Interestingly, in contrast with the other strains, BALB/c mice did not accumulate excess lipid (triacylglycerols and diacylglycerols) in the liver; this is potentially related to lower fatty acid uptake rather than differences in lipogenesis or lipid oxidation. Collectively, our findings indicate that most mouse strains develop metabolic defects on an HFD. However, there are inherent differences between strains, and thus the genetic background needs to be considered carefully in metabolic studies.
324 citations
British Antarctic Survey1, Australian Antarctic Division2, Université catholique de Louvain3, University of Insubria4, Alfred Wegener Institute for Polar and Marine Research5, Columbia University6, Texas A&M University7, University of Maine8, Technical University of Madrid9, University of Wollongong10, University of Cambridge11, Florida State University12, Arctic and Antarctic Research Institute13
TL;DR: In this article, the authors present an update of the "key points" from the Antarctic Climate Change and the Environment (ACCE) report that was published by the Scientific Committee on Antarctic Research (SCAR) in 2009.
Abstract: We present an update of the ‘key points’ from the Antarctic Climate Change and the Environment (ACCE) report that was published by the Scientific Committee on Antarctic Research (SCAR) in 2009. We summarise subsequent advances in knowledge concerning how the climates of the Antarctic and Southern Ocean have changed in the past, how they might change in the future, and examine the associated impacts on the marine and terrestrial biota. We also incorporate relevant material presented by SCAR to the Antarctic Treaty Consultative Meetings, and make use of emerging results that will form part of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report
324 citations
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TL;DR: A large-scale flexible fabrication of highly porous high-performance multifunctional graphene oxide (GO) and rGO fibers and yarns by taking advantage of the intrinsic soft self-assembly behavior of ultralarge graphene oxide liquid crystalline dispersions is demonstrated.
Abstract: The successful commercialization of smart wearable garments is hindered by the lack of fully integrated carbon-based energy storage devices into smart wearables. Since electrodes are the active components that determine the performance of energy storage systems, it is important to rationally design and engineer hierarchical architectures atboth the nano- and macroscale that can enjoy all of the necessary requirements for a perfect electrode. Here we demonstrate a large-scale flexible fabrication of highly porous high-performance multifunctional graphene oxide (GO) and rGO fibers and yarns by taking advantage of the intrinsic soft self-assembly behavior of ultralarge graphene oxide liquid crystalline dispersions. The produced yarns, which are the only practical form of these architectures for real-life device applications, were found to be mechanically robust (Young’s modulus in excess of 29 GPa) and exhibited high native electrical conductivity (2508 ± 632 S m–1) and exceptionally high specific surface ar...
324 citations
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TL;DR: These results suggest dysfunctional integration of frontal and posterior brain regions in autistics along with a pattern of neural underconnectivity consistent with other EEG, MRI and fMRI research suggesting that neural connectivity anomalies are a major deficit leading to autistic symptomatology.
323 citations
Authors
Showing all 15918 results
Name | H-index | Papers | Citations |
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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 |