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Institution

University of Mons

EducationMons, Belgium
About: University of Mons is a education organization based out in Mons, Belgium. It is known for research contribution in the topics: Large Hadron Collider & Standard Model. The organization has 3073 authors who have published 9465 publications receiving 294776 citations.


Papers
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Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2297 moreInstitutions (148)
TL;DR: In this paper, the pseudorapidity distribution of primary charged long-lived hadrons produced in inelastic pp collisions is determined in the central region of the CMS pixel detector (abs(eta)<2) using both hit pairs and reconstructed tracks.

81 citations

Journal ArticleDOI
16 Dec 2017-Cancers
TL;DR: The reported effects of these compounds on cancer cells are reviewed, with a specific focus on their ability of p53 reactivation, an overview of their unexpected anti-cancer effects, and a presentation of the investigated drug combinations.
Abstract: p53 protects cells from genetic assaults by triggering cell-cycle arrest and apoptosis. Inactivation of p53 pathway is found in the vast majority of human cancers often due to somatic missense mutations in TP53 or to an excessive degradation of the protein. Accordingly, reactivation of p53 appears as a quite promising pharmacological approach and, effectively, several attempts have been made in that sense. The most widely investigated compounds for this purpose are PRIMA-1 (p53 reactivation and induction of massive apoptosis )and PRIMA-1Met (APR-246), that are at an advanced stage of development, with several clinical trials in progress. Based on publications referenced in PubMed since 2002, here we review the reported effects of these compounds on cancer cells, with a specific focus on their ability of p53 reactivation, an overview of their unexpected anti-cancer effects, and a presentation of the investigated drug combinations.

81 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a new, high accuracy, initial assessment prediction tool for high speed lines, which is capable of including the effect of soil conditions in its calculation.

81 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2292 moreInstitutions (142)
TL;DR: In this article, a measurement of the W boson pair production cross section in proton-proton collisions at √s = 8 TeV is presented, consistent with the standard model prediction.
Abstract: A measurement of the W boson pair production cross section in proton-proton collisions at √s = 8 TeV is presented. The data collected with the CMS detector at the LHC correspond to an integrated luminosity of 19.4 fb^(-1). The W^+W^− candidates are selected from events with two charged leptons, electrons or muons, and large missing transverse energy. The measured W^+W^− cross section is 60.1 ± 0.9(stat) ± 3.2 (exp) ± 3.1(theo)±1.6 (lumi)\,pb = 60.1 ± 4.8\,pb60.1 ± 0.9 (stat) ±3.2 (exp)±3.1 (theo) ± 1.6 (lumi)\,pb = 60.1 ± 4.8\, pb, consistent with the standard model prediction. The W^+W^− cross sections are also measured in two different fiducial phase space regions. The normalized differential cross section is measured as a function of kinematic variables of the final-state charged leptons and compared with several perturbative QCD predictions. Limits on anomalous gauge couplings associated with dimension-six operators are also given in the framework of an effective field theory. The corresponding 95 % confidence level intervals are −5.7

81 citations

Journal ArticleDOI
TL;DR: A comprehensive overview of techniques for glottal source processing can be found in this article, where the authors discuss how these tools and techniques might be properly integrated in various voice technology applications.

81 citations


Authors

Showing all 3115 results

NameH-indexPapersCitations
Giacomo Bruno1581687124368
Krzysztof Piotrzkowski141126999607
Maria Elena Pol139141499240
Rupert Leitner136120190597
Christophe Delaere135132096742
Vincent Lemaitre134131099190
Jean-Luc Brédas134102685803
Luiz Mundim133141389792
Ulrich Landgraf13195983320
Markus Elsing131111182757
Evangelos Gazis131114784159
Loic Quertenmont12990576221
Michele Selvaggi129121483525
Roberto Castello12896576820
Olivier Bondu128104976124
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
202264
2021656
2020716
2019606
2018601