Institution
Deakin University
Education•Burwood, Victoria, Australia•
About: Deakin University is a education organization based out in Burwood, Victoria, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 12118 authors who have published 46470 publications receiving 1188841 citations. The organization is also known as: Deakin.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the relevance and reliability of financial and non-financial information on intangibles from the value relevance literature is evaluated. And the evidence from a package of value relevance and triangulation studies suggests RD and the possibility that giving management discretion, with regulatory guidance, to report intangible information might facilitate more value relevant information on Intangible information.
Abstract: This paper evaluates what we have learned about the relevance and reliability of financial and non-financial information on intangibles from the value relevance literature. Because value relevance studies do not easily allow judgements about the reliability of information on intangibles, and this is an issue of central interest, this paper takes a rather wide look across a range of literatures to try to piece together some indirect evidence on both relevance and reliability. The evidence from a package of value relevance and triangulation studies suggests RD and the possibility that giving management discretion, with regulatory guidance, to report intangibles might facilitate more value relevant information on intangibles.
206 citations
••
TL;DR: Recent advances in cancer stem cell research are reviewed, challenges in the field are discussed and future strategies and opportunities in cancerstem cell studies to overcome resistance to chemotherapy are explored.
206 citations
••
12 Nov 2018
TL;DR: This paper model the edge user allocation (EUA) problem as a bin packing problem, and introduces a novel, optimal approach to solving the EUA problem based on the Lexicographic Goal Programming technique.
Abstract: In mobile edge computing, edge servers are geographically distributed around base stations placed near end-users to provide highly accessible and efficient computing capacities and services. In the mobile edge computing environment, a service provider can deploy its service on hired edge servers to reduce end-to-end service delays experienced by its end-users allocated to those edge servers. An optimal deployment must maximize the number of allocated end-users and minimize the number of hired edge servers while ensuring the required quality of service for end-users. In this paper, we model the edge user allocation (EUA) problem as a bin packing problem, and introduce a novel, optimal approach to solving the EUA problem based on the Lexicographic Goal Programming technique. We have conducted three series of experiments to evaluate the proposed approach against two representative baseline approaches. Experimental results show that our approach significantly outperforms the other two approaches.
205 citations
••
TL;DR: This intervention did not result in a sustained BMI reduction, despite the improvement in parent-reported nutrition, suggesting brief individualized solution-focused approaches may not be an effective approach to childhood overweight.
Abstract: To reduce gain in body mass index (BMI) in overweight/mildly obese children in the primary care setting. Randomized controlled trial (RCT) nested within a baseline cross-sectional BMI survey. Twenty nine general practices, Melbourne, Australia. (1) BMI survey: 2112 children visiting their general practitioner (GP) April–December 2002; (2) RCT: individually randomized overweight/mildly obese (BMI z-score <3.0) children aged 5 years 0 months–9 years 11 months (82 intervention, 81 control). Four standard GP consultations over 12 weeks, targeting change in nutrition, physical activity and sedentary behaviour, supported by purpose-designed family materials. Primary: BMI at 9 and 15 months post-randomization. Secondary: Parent-reported child nutrition, physical activity and health status; child-reported health status, body satisfaction and appearance/self-worth. Attrition was 10%. The adjusted mean difference (intervention–control) in BMI was −0.2 kg/m2 (95% CI: −0.6 to 0.1; P=0.25) at 9 months and −0.0 kg/m2 (95% CI: −0.5 to 0.5; P=1.00) at 15 months. There was a relative improvement in nutrition scores in the intervention arm at both 9 and 15 months. There was weak evidence of an increase in daily physical activity in the intervention arm. Health status and body image were similar in the trial arms. This intervention did not result in a sustained BMI reduction, despite the improvement in parent-reported nutrition. Brief individualized solution-focused approaches may not be an effective approach to childhood overweight. Alternatively, this intervention may not have been intensive enough or the GP training may have been insufficient; however, increasing either would have significant cost and resource implications at a population level.
205 citations
••
TL;DR: In this paper, the inter-fiber connection was highly affected by the PVP/PAN ratio and electrospinning method, and the carbon nanofibers prepared from the side-by-side polyvinylpyrrolidone (PVP)/polyacrylonitrile (PAN) blend nanofiber were found to have higher electrochemical capacitance than those from the pVP/pAN blend nanoftibers.
205 citations
Authors
Showing all 12448 results
Name | H-index | Papers | Citations |
---|---|---|---|
Patrick D. McGorry | 137 | 1097 | 72092 |
Mary Story | 135 | 522 | 64623 |
Dacheng Tao | 133 | 1362 | 68263 |
Paul Harrison | 133 | 1400 | 80539 |
Paul Zimmet | 128 | 740 | 140376 |
Neville Owen | 127 | 700 | 74166 |
Louisa Degenhardt | 126 | 798 | 139683 |
David Scott | 124 | 1561 | 82554 |
Anthony F. Jorm | 124 | 798 | 67120 |
Tao Zhang | 123 | 2772 | 83866 |
John C. Wingfield | 122 | 509 | 52291 |
John J. McGrath | 120 | 791 | 124804 |
Eduard Vieta | 119 | 1248 | 57755 |
Michael Berk | 116 | 1284 | 57743 |
Ashley I. Bush | 116 | 560 | 57009 |