Institution
Aix-Marseille University
Education•Marseille, 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.
Topics: Population, Galaxy, Large Hadron Collider, Redshift, Star formation
Papers published on a yearly basis
Papers
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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
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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
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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
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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
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University of Sussex1, European Space Agency2, University of California, Irvine3, University of Edinburgh4, Cardiff University5, Paris Diderot University6, Imperial College London7, California Institute of Technology8, Jet Propulsion Laboratory9, Aix-Marseille University10, University of La Laguna11, Spanish National Research Council12, University of Colorado Boulder13, Goddard Space Flight Center14, University of Padua15, University of British Columbia16, UK Astronomy Technology Centre17, University of Paris-Sud18, University of Manchester19, Institut d'Astrophysique de Paris20, University College London21, University of Lethbridge22, Rutherford Appleton Laboratory23, University of Oxford24, University of Warwick25, University of Hertfordshire26
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
Name | H-index | Papers | Citations |
---|---|---|---|
Didier Raoult | 173 | 3267 | 153016 |
Andrea Bocci | 172 | 2402 | 176461 |
Marc Humbert | 149 | 1184 | 100577 |
Carlo Rovelli | 146 | 1502 | 103550 |
Marc Besancon | 143 | 1799 | 106869 |
Jian Yang | 142 | 1818 | 111166 |
Josh Moss | 139 | 1019 | 89255 |
Maksym Titov | 139 | 1573 | 128335 |
Bernard Henrissat | 139 | 593 | 100002 |
R. D. Kass | 138 | 1920 | 107907 |
Stylianos E. Antonarakis | 138 | 746 | 93605 |
Jean-Paul Kneib | 138 | 805 | 89287 |
Brad Abbott | 137 | 1566 | 98604 |
Shu Li | 136 | 1001 | 78390 |
Georges Aad | 135 | 1121 | 88811 |