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Institution

University of Rouen

EducationRouen, France
About: University of Rouen is a education organization based out in Rouen, France. It is known for research contribution in the topics: Population & Receptor. The organization has 7299 authors who have published 13209 publications receiving 313477 citations.
Topics: Population, Receptor, Laser, Atom probe, Membrane


Papers
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Journal ArticleDOI
TL;DR: This study demonstrates the contribution of NGS with a consensus gene panel to personalized therapy in DLBCL, highlighting the molecular heterogeneity of subtypes and identifying somatic mutations with therapeutic and prognostic impact.
Abstract: Next-generation sequencing (NGS) has detailed the genomic characterization of diffuse large B-cell lymphoma (DLBCL) by identifying recurrent somatic mutations. We set out to design a clinically feasible NGS panel focusing on genes whose mutations hold potential therapeutic impact. Furthermore, for the first time, we evaluated the prognostic value of these mutations in prospective clinical trials.

176 citations

Journal ArticleDOI
TL;DR: This review gives an up-to-date overview of all L. salivarius strains, isolated from different origins, known as bacteriocin producing and/or potential probiotic.

176 citations

Journal ArticleDOI
TL;DR: In this paper, the graft polymerization of N-vinyl-2-pyrrolidinone onto the polyvinylidene fluoride (PVDF)-based microporous membrane containing a small quantity of poly (ether sulfone) (PES) was performed under UV irradiation.

176 citations

01 Jan 2013
TL;DR: In this paper, the authors identify key properties of expertise in sport predicated on the performer-environment relationship and highlight the weaknesses of traditional approaches to expert performance, which uniquely focus on the individual and the environment separately, highlighted by an ecological dynamics perspective.
Abstract: This paper identifies key properties of expertise in sport predicated on the performer-environment relationship. Weaknesses of traditional approaches to expert performance, which uniquely focus on the performer and the environment separately, are highlighted by an ecological dynamics perspective. Key properties of expert movement systems include 'multi- and meta-stability', 'adaptive variability', 'redundancy', 'degeneracy' and the 'attunement to affordances'. Empirical research on these expert system properties indicates that skill acquisition does not emerge from the internal representation of declarative and procedural knowledge, or the imitation of expert behaviours to linearly reduce a perceived 'gap' separating movements of beginners and a putative expert model. Rather, expert performance corresponds with the ongoing co-adaptation of an individual's behaviours to dynamically changing, interacting constraints, individually perceived and encountered. The functional role of adaptive movement variability is essential to expert performance in many different sports (involving individuals and teams; ball games and outdoor activities; land and aquatic environments). These key properties signify that, in sport performance, although basic movement patterns need to be acquired by developing athletes, there exists no ideal movement template towards which all learners should aspire, since relatively unique functional movement solutions emerge from the interaction of key constraints.

175 citations

Journal ArticleDOI
TL;DR: The results show that EC mice were more active than SC mice in the elevated plus maze and the open field, and reactivity to a novel environment was reduced in EC mice, indicating that classical and ethoexperimental-based tests measure different aspects of emotional reactivity.

175 citations


Authors

Showing all 7360 results

NameH-indexPapersCitations
Yves Agid14166974441
Alexis Brice13587083466
Mohamed Eddaoudi9432764217
Hervé Tilly8647930321
David Cohen8363537722
Jörg Neugebauer8149130909
Hubert Vaudry8097534350
Michel Baudry8037223890
Richard L. Stevens7926419148
Claudine Berr7529727919
Christian P. Robert7553536864
Thierry Frebourg7130722403
Georges Pelletier6943219018
Michel Vert6933317899
Jean-Charles Schwartz6925215917
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202298
2021603
2020622
2019563
2018552