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Institution

Aix-Marseille University

EducationMarseille, France
About: Aix-Marseille University is a education organization based out in Marseille, France. It is known for research contribution in the topics: Population & Galaxy. The organization has 24326 authors who have published 54240 publications receiving 1455416 citations. The organization is also known as: University Aix-Marseille & université d'Aix-Marseille.


Papers
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Journal ArticleDOI
TL;DR: In patients with CS secondary to acute myocardial infarction, the use of epinephrine compared with norepinephrine was associated with similar effects on arterial pressure and cardiac index and a higher incidence of refractory shock.

237 citations

Journal ArticleDOI
Roel Aaij, C. Abellan Beteta1, A. Adametz2, Bernardo Adeva3  +605 moreInstitutions (51)
TL;DR: In this article, a search for Bs0→μ+μ- and B0→m+m- decays was performed using 1.0 fb-1 of pp collision data collected at √s=7 TeV with the LHCb experiment at the Large Hadron Collider.
Abstract: A search for Bs0→μ+μ- and B0→μ+μ- decays is performed using 1.0 fb-1 of pp collision data collected at √s=7 TeV with the LHCb experiment at the Large Hadron Collider. For both decays, the number of observed events is consistent with expectation from background and standard model signal predictions. Upper limits on the branching fractions are determined to be B(Bs0→μ+μ-)<4.5(3.8)×10-9 and B(B0→μ+μ-)<1.0(0.81)×10-9 at 95% (90%) confidence level.

237 citations

Journal ArticleDOI
TL;DR: Ticagrelor increases APC in ACS patients compared with clopidogrel by inhibiting adenosine uptake by red blood cells and the mechanism of APC variation is measured.

237 citations

Journal ArticleDOI
TL;DR: Mobile operator data is a highly promising data source for improving preparedness and response efforts during cholera outbreaks, and may be particularly important for containment efforts of emerging infectious diseases, including high-mortality influenza strains.
Abstract: Effective response to infectious disease epidemics requires focused control measures in areas predicted to be at high risk of new outbreaks. We aimed to test whether mobile operator data could predict the early spatial evolution of the 2010 Haiti cholera epidemic. Daily case data were analysed for 78 study areas from October 16 to December 16, 2010. Movements of 2.9 million anonymous mobile phone SIM cards were used to create a national mobility network. Two gravity models of population mobility were implemented for comparison. Both were optimized based on the complete retrospective epidemic data, available only after the end of the epidemic spread. Risk of an area experiencing an outbreak within seven days showed strong dose-response relationship with the mobile phone-based infectious pressure estimates. The mobile phone-based model performed better (AUC 0.79) than the retrospectively optimized gravity models (AUC 0.66 and 0.74, respectively). Infectious pressure at outbreak onset was significantly correlated with reported cholera cases during the first ten days of the epidemic (p < 0.05). Mobile operator data is a highly promising data source for improving preparedness and response efforts during cholera outbreaks. Findings may be particularly important for containment efforts of emerging infectious diseases, including high-mortality influenza strains.

237 citations

Journal ArticleDOI
Seb Oliver1, Lin Wang1, Anthony J. Smith1, Bruno Altieri2, Alexandre Amblard3, V. Arumugam4, Robbie Richard Auld5, Herve Aussel6, Tom Babbedge7, Andrew Blain8, James J. Bock9, James J. Bock8, Alessandro Boselli10, V. Buat10, Denis Burgarella10, N. Castro-Rodríguez11, N. Castro-Rodríguez12, Antonio Cava11, Antonio Cava12, Pierre Chanial7, David L. Clements7, A. Conley13, L. Conversi2, Asantha Cooray8, Asantha Cooray3, C. D. Dowell8, C. D. Dowell9, Eli Dwek14, Stephen Anthony Eales5, D. Elbaz6, M. Fox7, Alberto Franceschini15, Walter Kieran Gear5, Jason Glenn13, Matthew Joseph Griffin5, Mark Halpern16, Evanthia Hatziminaoglou, Edo Ibar17, Kate Gudrun Isaak5, Rob Ivison17, Rob Ivison4, Guilaine Lagache18, Louis Levenson9, Louis Levenson8, Nanyao Y. Lu8, Suzanne C. Madden6, Bruno Maffei19, G. Mainetti15, Lucia Marchetti15, K. Mitchell-Wynne3, Angela M. J. Mortier7, Hien Nguyen9, Hien Nguyen8, B. O'Halloran7, Alain Omont20, M. J. Page21, P. Panuzzo6, Andreas Papageorgiou5, Chris Pearson22, Chris Pearson23, Ismael Perez-Fournon12, Ismael Perez-Fournon11, Michael Pohlen5, Jonathan Rawlings21, Gwenifer Raymond5, Dimitra Rigopoulou23, Dimitra Rigopoulou24, D. Rizzo7, Isaac Roseboom1, Michael Rowan-Robinson7, M. Sanchez Portal2, Richard S. Savage1, Richard S. Savage25, Benjamin L. Schulz8, Douglas Scott16, Nick Seymour21, D. L. Shupe8, Jamie Stevens26, M. Symeonidis21, Markos Trichas7, K. E. Tugwell21, Mattia Vaccari15, Elisabetta Valiante16, Ivan Valtchanov2, Joaquin Vieira8, L. Vigroux20, Robyn L. Ward1, Gillian S. Wright17, C. K. Xu8, Michael Zemcov9, Michael Zemcov8 
TL;DR: In this paper, the authors used the SPIRE instrument on the Herschel Multi-tiered Extra-Galactic Survey (HerMES) to directly resolve ~15% of the infrared extra-galactic background at the wavelength near where it peaks.
Abstract: Emission at far-infrared wavelengths makes up a significant fraction of the total light detected from galaxies over the age of Universe. Herschel provides an opportunity for studying galaxies at the peak wavelength of their emission. Our aim is to provide a benchmark for models of galaxy population evolution and to test pre-existing models of galaxies. With the Herschel Multi-tiered Extra-galactic survey, HerMES, we have observed a number of fields of different areas and sensitivity using the SPIRE instrument on Herschel. We have determined the number counts of galaxies down to ~20 mJy. Our constraints from directly counting galaxies are consistent with, though more precise than, estimates from the BLAST fluctuation analysis. We have found a steep rise in the Euclidean normalised counts <100 mJy. We have directly resolved ~15% of the infrared extra-galactic background at the wavelength near where it peaks.

236 citations


Authors

Showing all 24784 results

NameH-indexPapersCitations
Didier Raoult1733267153016
Andrea Bocci1722402176461
Marc Humbert1491184100577
Carlo Rovelli1461502103550
Marc Besancon1431799106869
Jian Yang1421818111166
Josh Moss139101989255
Maksym Titov1391573128335
Bernard Henrissat139593100002
R. D. Kass1381920107907
Stylianos E. Antonarakis13874693605
Jean-Paul Kneib13880589287
Brad Abbott137156698604
Shu Li136100178390
Georges Aad135112188811
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023170
2022748
20215,607
20205,697
20195,288
20185,125