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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: The low-frequency conductivity response of water-saturated packs of glass beads reflects a combination of two processes, which corresponds to the polarization of the mineral/water interface coating the surface of the grains and the Maxwell-Wagner polarization associated with accumulation of the electrical charges in the pore space of the composite medium.

339 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2911 moreInstitutions (209)
TL;DR: In this paper, a measurement of the Z/gamma* boson transverse momentum spectrum using ATLAS proton-proton collision data at a centre-of-mass energy of root s = 7TeV at the LHC is described.
Abstract: This paper describes a measurement of the Z/gamma* boson transverse momentum spectrum using ATLAS proton-proton collision data at a centre-of-mass energy of root s = 7TeV at the LHC. The measurement is performed in the Z/gamma* -> e(+)e(-) and Z/gamma* -> mu(+)mu(-) channels, using data corresponding to an integrated luminosity of 4.7 fb(-1). Normalized differential cross sections as a function of the Z/gamma* boson transverse momentum are measured for transverse momenta up to 800 GeV. The measurement is performed inclusively for Z/gamma* rapidities up to 2.4, as well as in three rapidity bins. The channel results are combined, compared to perturbative and resummed QCD calculations and used to constrain the parton shower parameters of Monte Carlo generators.

339 citations

Journal ArticleDOI
TL;DR: This proposed anatomically based classification system provides a consistent description of the various osteotomies performed in spinal deformity correction surgery and will provide a common frame for osteotomy assessment and permit comparative analysis of different treatments.
Abstract: Background Global sagittal malalignment is significantly correlated with health-related quality-of-life scores in the setting of spinal deformity. In order to address rigid deformity patterns, the use of spinal osteotomies has seen a substantial increase. Unfortunately, variations of established techniques and hybrid combinations of osteotomies have made comparisons of outcomes difficult. Objective To propose a classification system of anatomically-based spinal osteotomies and provide a common language among spine specialists. Methods The proposed classification system is based on 6 anatomic grades of resection (1 through 6) corresponding to the extent of bone resection and increasing degree of destabilizing potential. In addition, a surgical approach modifier is added (posterior approach or combined anterior and posterior approaches). Reliability of the classification system was evaluated by an analysis of 16 clinical cases, rated 2 times by 8 different readers, and calculation of Fleiss kappa coefficients. Results Intraobserver reliability was classified as "almost perfect"; Fleiss kappa coefficient averaged 0.96 (range, 0.92-1.0) for resection type and 0.90 (0.71-1.0) for the approach modifier. Results from the interobserver reliability for the classification were 0.96 for resection type and 0.88 for the approach modifier. Conclusion This proposed anatomically based classification system provides a consistent description of the various osteotomies performed in spinal deformity correction surgery. The reliability study confirmed that the classification is simple and consistent. Further development of its use will provide a common frame for osteotomy assessment and permit comparative analysis of different treatments.

339 citations

Journal ArticleDOI
TL;DR: For severe acute respiratory syndrome (SARS)-CoV an RNA synthesis and proofreading pathway is demonstrated through association of nsp14 with the low-fidelity nsp12 viral RNA polymerase, which may explain its limited efficacy in vivo.
Abstract: Coronaviruses (CoVs) stand out among RNA viruses because of their unusually large genomes (∼30 kb) associated with low mutation rates. CoVs code for nsp14, a bifunctional enzyme carrying RNA cap guanine N7-methyltransferase (MTase) and 3′-5′ exoribonuclease (ExoN) activities. ExoN excises nucleotide mismatches at the RNA 3′-end in vitro, and its inactivation in vivo jeopardizes viral genetic stability. Here, we demonstrate for severe acute respiratory syndrome (SARS)-CoV an RNA synthesis and proofreading pathway through association of nsp14 with the low-fidelity nsp12 viral RNA polymerase. Through this pathway, the antiviral compound ribavirin 5′-monophosphate is significantly incorporated but also readily excised from RNA, which may explain its limited efficacy in vivo. The crystal structure at 3.38 A resolution of SARS-CoV nsp14 in complex with its cofactor nsp10 adds to the uniqueness of CoVs among RNA viruses: The MTase domain presents a new fold that differs sharply from the canonical Rossmann fold.

337 citations

Journal ArticleDOI
TL;DR: The primary endpoint was the annual asthma exacerbation rate at week 52 in the intention-to-treat population, and key secondary endpoints included prebronchodilator forced expiratory volume in 1 s (FEV1), Asthma Control Questionnaires-6 (ACQ-6), and Asthma Quality of Life Questionnaire-Standardised Version (AQLQ[S).

337 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