Institution
Flinders University
Education•Adelaide, South Australia, Australia•
About: Flinders University is a education organization based out in Adelaide, South Australia, Australia. It is known for research contribution in the topics: Population & Health care. The organization has 12033 authors who have published 32831 publications receiving 973172 citations. The organization is also known as: Flinders University of South Australia.
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TL;DR: Yearly colonoscopy, liver CT, and chest radiography will not improve survival from colorectal cancer when added to symptom and simple screening review.
384 citations
Vanderbilt University1, Shizuoka University2, Arizona State University3, University of Oxford4, University of Gothenburg5, Pierre-and-Marie-Curie University6, Imperial College London7, McMaster University8, Institute of Science and Technology Austria9, University of Groningen10, Aarhus University11, University of Maryland, College Park12, University of Colorado Boulder13, University of California, Irvine14, University of Exeter15, University of Lausanne16, University of New Mexico17, University of Cambridge18, Australian National University19, University of Houston20, University of Edinburgh21, University of California, Santa Barbara22, Princeton University23, University of Chicago24, Montana State University25, Simon Fraser University26, Villanova University27, Queen's University28, Cornell University29, University of Louisville30, United States Department of Agriculture31, École Normale Supérieure32, University of Sussex33, Ludwig Maximilian University of Munich34, University of Kentucky35, Flinders University36, Michigan State University37, Georgia Institute of Technology38, University of California, Davis39, Pennsylvania State University40, University of Toronto41, University of Sheffield42, University of Regensburg43, University of Helsinki44, University of Vermont45, VU University Amsterdam46, University of Osnabrück47, Harvard University48, Swiss Federal Institute of Aquatic Science and Technology49, University of Copenhagen50, Royal Holloway, University of London51, University of California, Santa Cruz52, University of Arizona53, University of Oklahoma54, University of Texas at Austin55, University of Strasbourg56, University of Bristol57, University of Liverpool58, University of North Carolina at Chapel Hill59, Rice University60, University of Zurich61, University College London62, Newcastle University63, James Cook University64, University of Montpellier65, University of North Carolina at Greensboro66, University of California, Riverside67, ETH Zurich68, University of St Andrews69, William Paterson University70, University of Michigan71, University of Illinois at Urbana–Champaign72, University of Bern73, University of Western Ontario74, University of California, Berkeley75, University of the Ryukyus76, University of Florence77, University of Tennessee78, North Carolina State University79, Humboldt University of Berlin80, Katholieke Universiteit Leuven81, Smithsonian Institution82, University of Nevada, Reno83, San Francisco State University84
TL;DR: It is argued that inclusive fitness theory has been of little value in explained the natural world, and that it has led to negligible progress in explaining the evolution of eusociality, but these arguments are based upon a misunderstanding of evolutionary theory and a misrepresentation of the empirical literature.
Abstract: Arising from M. A. Nowak, C. E. Tarnita & E. O. Wilson 466, 1057-1062 (2010); Nowak et al. reply. Nowak et al. argue that inclusive fitness theory has been of little value in explaining the natural world, and that it has led to negligible progress in explaining the evolution of eusociality. However, we believe that their arguments are based upon a misunderstanding of evolutionary theory and a misrepresentation of the empirical literature. We will focus our comments on three general issues.
383 citations
TL;DR: In this paper, the authors provide an in-depth survey of well-known swarm optimization algorithms and compare them with each other comprehensively through experiments conducted using thirty wellknown benchmark functions and a number of statistical tests are then carried out to determine the significant performances.
Abstract: Many swarm optimization algorithms have been introduced since the early 60’s, Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms have demonstrated their potential to solve many optimization problems. This paper provides an in-depth survey of well-known optimization algorithms. Selected algorithms are briefly explained and compared with each other comprehensively through experiments conducted using thirty well-known benchmark functions. Their advantages and disadvantages are also discussed. A number of statistical tests are then carried out to determine the significant performances. The results indicate the overall advantage of Differential Evolution (DE) and is closely followed by Particle Swarm Optimization (PSO), compared with other considered approaches.
382 citations
TL;DR: The HydroGeoSphere (HGS) as mentioned in this paper model is based on the FRAC3DVS, developed by R. Therrien at the University of Waterloo as part of his doctoral work under the supervision of E.A. Sudicky.
Abstract: Introduction The importance of a quantitative understanding of the hydrological cycle increases with the ever-growing demand for water for anthropogenic needs. Numerical models are inevitable tools in this undertaking. A wide range of numerical models of different complexity have been developed for this purpose, ranging from simple, lumped parameter models to more complex, physically based models. The foundation of physically based models is the blueprint paper by Freeze and Harlan (1969), and numerous physically based models have been developed following this blueprint. HydroGeoSphere (HGS), the code discussed in this review, is one of them. The origin of HGS is the code FRAC3DVS, developed by R. Therrien at the University of Waterloo as part of his doctoral work under the supervision of E.A. Sudicky (Therrien 1992). FRAC3DVS was designed to simulate variably saturated groundwater flow and advective-dispersive solute transport in porous or discretely fractured porous media. In 2002, a two-dimensional (2D) surface water flow and transport component were implemented in FRAC3DVS and the code was renamed HydroGeoSphere. Until recently, the code was free for academic research, while commercial users paid a license fee between 3000 and 6000 US dollars depending on the number of CPU cores the code will use in a parallel computational platform. The code can be downloaded by contacting the developers through the website: http://hydrogeosphere.org/. HGS has been designed to solve simple problems (e.g., regular geometry, steady-state saturated flow etc.) as well as very complex problems (e.g., integrated flow,
380 citations
TL;DR: The film exhibits remarkable hydrogen evolution performance, benefitting from the utmost exposed active centers on 2D nanolayers, highly expanded surface, and continuous conductive network, as well as strong synergistic effects between the components.
Abstract: A 3D catalyst electrode is fabricated by layer-by-layer assembly of 2D WS nanolayers and P, N, O-doped graphene sheets into a heterostructured film. The film exhibits remarkable hydrogen evolution performance, benefitting from the utmost exposed active centers on 2D nanolayers, highly expanded surface, and continuous conductive network, as well as strong synergistic effects between the components.
378 citations
Authors
Showing all 12221 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Matthew Jones | 125 | 1161 | 96909 |
| Robert Edwards | 121 | 775 | 74552 |
| Justin C. McArthur | 113 | 433 | 47346 |
| Peter Somogyi | 112 | 232 | 42450 |
| Glenda M. Halliday | 111 | 676 | 53684 |
| Jonathan C. Craig | 108 | 872 | 59401 |
| Bruce Neal | 108 | 561 | 87213 |
| Alan Cooper | 108 | 746 | 45772 |
| Robert J. Norman | 103 | 755 | 45147 |
| John B. Furness | 103 | 597 | 37668 |
| Richard J. Miller | 103 | 419 | 35669 |
| Michael J. Brownstein | 102 | 274 | 47929 |
| Craig S. Anderson | 101 | 650 | 49331 |
| John Chalmers | 99 | 831 | 55005 |
| Kevin D. Hyde | 99 | 1382 | 46113 |