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Institution

University of Exeter

EducationExeter, United Kingdom
About: University of Exeter is a education organization based out in Exeter, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 15820 authors who have published 50650 publications receiving 1793046 citations. The organization is also known as: Exeter University & University of the South West of England.


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Journal ArticleDOI
TL;DR: In this paper, the authors present a review of methods for computing inlet conditions for LES, including pre-cursor simulation and synthesis, and implement their own novel versions of these using the code OpenFOAM.

384 citations

Journal ArticleDOI
Patrick Abbot1, Jun Abe2, John Alcock3, Samuel Alizon, João Alpedrinha4, Malte Andersson5, Jean-Baptiste André6, Minus van Baalen6, Francois Balloux7, Sigal Balshine8, Nicholas H. Barton9, Leo W. Beukeboom10, Jay M. Biernaskie4, Trine Bilde11, Gerald Borgia12, Michael D. Breed13, Sam P. Brown4, Redouan Bshary, Angus Buckling4, Nancy Tyler Burley14, Max N. Burton-Chellew4, Michael A. Cant15, Michel Chapuisat16, Eric L. Charnov17, Tim H. Clutton-Brock18, Andrew Cockburn19, Blaine J. Cole20, Nick Colegrave21, Leda Cosmides22, Iain D. Couzin23, Jerry A. Coyne24, Scott Creel25, Bernard J. Crespi26, Robert L. Curry27, Sasha R. X. Dall15, Troy Day28, Janis L. Dickinson29, Lee Alan Dugatkin30, Claire El Mouden4, Stephen T. Emlen29, Jay D. Evans31, Régis Ferrière32, Jeremy Field33, Susanne Foitzik34, Kevin R. Foster4, William A. Foster18, Charles W. Fox35, Juergen Gadau3, Sylvain Gandon, Andy Gardner4, Michael G. Gardner36, Thomas Getty37, Michael A. D. Goodisman38, Alan Grafen4, Richard K. Grosberg39, Christina M. Grozinger40, Pierre-Henri Gouyon, Darryl T. Gwynne41, Paul H. Harvey4, Ben J. Hatchwell42, Jürgen Heinze43, Heikki Helanterä44, Ken R. Helms45, Kim Hill3, Natalie Jiricny4, Rufus A. Johnstone18, Alex Kacelnik4, E. Toby Kiers46, Hanna Kokko19, Jan Komdeur10, Judith Korb47, Daniel J. C. Kronauer48, Rolf Kümmerli49, Laurent Lehmann, Timothy A. Linksvayer50, Sébastien Lion51, Bruce E. Lyon52, James A. R. Marshall42, Richard McElreath39, Yannis Michalakis, Richard E. Michod53, Douglas W. Mock54, Thibaud Monnin6, Robert Montgomerie28, Allen J. Moore15, Ulrich G. Mueller55, Ronald Noë56, Samir Okasha57, Pekka Pamilo44, Geoff A. Parker58, Jes S. Pedersen50, Ido Pen10, David W. Pfennig59, David C. Queller60, Daniel J. Rankin61, Sarah E. Reece21, Hudson K. Reeve29, Max Reuter62, Gilbert Roberts63, Simon K. A. Robson64, Denis Roze6, François Rousset65, Olav Rueppell66, Joel L. Sachs67, Lorenzo A. Santorelli4, Paul Schmid-Hempel68, Michael P. Schwarz36, Thomas C. Scott-Phillips21, Janet Shellmann-Sherman29, Paul W. Sherman29, David M. Shuker69, jeff smith60, Joseph C. Spagna70, Beverly I. Strassmann71, Andrew V. Suarez72, Liselotte Sundström44, Michael Taborsky73, Peter D. Taylor28, Graham J. Thompson74, John Tooby22, Neil D. Tsutsui75, Kazuki Tsuji76, Stefano Turillazzi77, Francisco Úbeda78, Edward L. Vargo79, Bernard Voelkl80, Tom Wenseleers81, Stuart A. West4, Mary Jane West-Eberhard82, David F. Westneat35, Diane C. Wiernasz20, Geoff Wild74, Richard Wrangham1, Andrew J. Young15, David W. Zeh83, David W. Zeh48, Jeanne A. Zeh83, Andrew G. Zink84 
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
24 Mar 2011-Nature
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

Journal ArticleDOI
TL;DR: A high-performance, high-density diffuse optical tomography (DOT) system that overcomes previous limitations and enables superior image quality and the utility of the DOT system is shown by presenting functional hemodynamic maps of the adult human visual cortex.
Abstract: Functional neuroimaging is a vital element of neuroscience and cognitive research and, increasingly, is an important clinical tool. Diffuse optical imaging is an emerging, noninvasive technique with unique portability and hemodynamic contrast capabilities for mapping brain function in young subjects and subjects in enriched or clinical environments. We have developed a high-performance, high-density diffuse optical tomography (DOT) system that overcomes previous limitations and enables superior image quality. We show herein the utility of the DOT system by presenting functional hemodynamic maps of the adult human visual cortex. The functional brain images have a high contrast-to-noise ratio, allowing visualization of individual activations and highly repeatable mapping within and across subjects. With the improved spatial resolution and localization, we were able to image functional responses of 1.7 cm in extent and shifts of <1 cm. Cortical maps of angle and eccentricity in the visual field are consistent with retinotopic studies using functional MRI and positron-emission tomography. These results demonstrate that high-density DOT is a practical and powerful tool for mapping function in the human cortex.

383 citations

Journal ArticleDOI
TL;DR: In this paper, the first hydrodynamical star formation calculation is presented, showing that brown dwarfs are a natural and frequent product of the collapse and fragmentation of a turbulent molecular cloud.
Abstract: We present results from the first hydrodynamical star formation calculation to demonstrate that brown dwarfs are a natural and frequent product of the collapse and fragmentation of a turbulent molecular cloud. The brown dwarfs form via the fragmentation of dense molecular gas in unstable multiple systems and are ejected from the dense gas before they have been able to accrete to stellar masses. Thus, they can be viewed as 'failed stars'. Approximately three-quarters of the brown dwarfs form in gravitationally unstable circumstellar discs while the remainder form in collapsing filaments of molecular gas. These formation mechanisms are very efficient, producing roughly the same number of brown dwarfs as stars, in agreement with recent observations. However, because close dynamical interactions are involved in their formation, we find a very low frequency of binary brown dwarf systems (≤5 per cent) and that those binary brown dwarf systems that do exist must be close, ≤ 10 au. Similarly, we find that young brown dwarfs with large circumstellar discs (radii ≥ 10 au) are rare ( 5 per cent).

382 citations

Journal ArticleDOI
TL;DR: In this paper, a 15kD secreted protein with characteristics that establish it as a class I hydrophobin was identified, which is necessary for infection-related development of Magnaporthe grisea on rice leaves and for full pathogenicity toward susceptible rice cultivars.
Abstract: The rice blast fungus expresses a pathogenicity gene, MPG1, during appressorium formation, disease symptom development, and conidiation. The MPG1 gene sequence predicts a small protein belonging to a family of fungal proteins designated hydrophobins. Using random ascospore analysis and genetic complementation, we showed that MPG1 is necessary for infection-related development of Magnaporthe grisea on rice leaves and for full pathogenicity toward susceptible rice cultivars. The protein product of MPG1 appears to interact with hydrophobic surfaces, where it may act as a developmental sensor for appressorium formation. Ultrastructural studies revealed that MPG1 directs formation of a rodlet layer on conidia composed of interwoven ~5-nm rodlets, which contributes to their surface hydrophobicity. Using combined genetic and biochemical approaches, we identified a 15-kD secreted protein with characteristics that establish it as a class I hydrophobin. The protein is able to form detergent-insoluble high molecular mass complexes, is soluble in trifluoroacetic acid, and exhibits mobility shifts after treatment with performic acid. The production of this protein is directed by MPG1.

382 citations


Authors

Showing all 16338 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
John C. Morris1831441168413
David W. Johnson1602714140778
Kevin J. Gaston15075085635
Andrew T. Hattersley146768106949
Timothy M. Frayling133500100344
Joel N. Hirschhorn133431101061
Jonathan D. G. Jones12941780908
Graeme I. Bell12753161011
Mark D. Griffiths124123861335
Tao Zhang123277283866
Brinick Simmons12269169350
Edzard Ernst120132655266
Michael Stumvoll11965569891
Peter McGuffin11762462968
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023295
2022782
20214,412
20204,192
20193,721
20183,385