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Institution

Charles University in Prague

EducationPrague, Czechia
About: Charles University in Prague is a education organization based out in Prague, Czechia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 32392 authors who have published 74435 publications receiving 1804208 citations.


Papers
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Journal ArticleDOI
TL;DR: The anatomy of the articular surfaces and their movement in the normal tibio-femoral joint, together with methods of measurement in volunteers are described, and methods of depicting these movements which are understandable to engineers and clinicians are discussed.

494 citations

Journal ArticleDOI
S. Schael1, R. Barate, R. Bruneliere, I. De Bonis  +1279 moreInstitutions (141)
TL;DR: In this paper, four LEP collaborations, ALEPH, DELPHI, L3 and OPAL, have searched for the neutral Higgs bosons which are predicted by the minimal supersymmetric standard model (MSSM).
Abstract: The four LEP collaborations, ALEPH, DELPHI, L3 and OPAL, have searched for the neutral Higgs bosons which are predicted by the Minimal Supersymmetric standard model (MSSM). The data of the four collaborations are statistically combined and examined for their consistency with the background hypothesis and with a possible Higgs boson signal. The combined LEP data show no significant excess of events which would indicate the production of Higgs bosons. The search results are used to set upper bounds on the cross-sections of various Higgs-like event topologies. The results are interpreted within the MSSM in a number of “benchmark” models, including CP-conserving and CP-violating scenarios. These interpretations lead in all cases to large exclusions in the MSSM parameter space. Absolute limits are set on the parameter cosβ and, in some scenarios, on the masses of neutral Higgs bosons.

494 citations

Journal ArticleDOI
TL;DR: The case when enough data paths can be generated according to an accepted parametric or nonparametric stochastic model when no assumptions on convexity with respect to the random parameters are required is discussed.
Abstract: A major issue in any application of multistage stochastic programming is the representation of the underlying random data process. We discuss the case when enough data paths can be generated according to an accepted parametric or nonparametric stochastic model. No assumptions on convexity with respect to the random parameters are required. We emphasize the notion of representative scenarios (or a representative scenario tree) relative to the problem being modeled.

493 citations

Journal ArticleDOI
01 Dec 2005-Icarus
TL;DR: This paper used a collisional evolution code to track the evolution of the main belt over 4.6 Gyr and found that only a small fraction of the fragments survived the dynamical depletion event described above.

493 citations

Journal ArticleDOI
A.E. Bondar1, A. Garmash1, R. Mizuk, D. Santel2  +154 moreInstitutions (46)
TL;DR: The observation of two narrow structures in the mass spectra of the π(±)Υ(nS) and π (±)h(b)(mP) pairs that are produced in association with a single charged pion in Υ(5S) decays is reported.
Abstract: We report the observation of two narrow structures in the mass spectra of the pi(+/-) Y(nS) (n = 1, 2, 3) and pi(+/-) h(b)(mP) (m = 1, 2) pairs that are produced in association with a single charged pion in Y(5S) decays The measured masses and widths of the two structures averaged over the five final states are M-1 = (10 6072 +/- 20) MeV/c(2), Gamma(1) =(184 +/- 24) MeV, and M-2 = (10 6522 +/- 15) MeV/c(2), Gamma(2) = (115 +/- 22) MeV The results are obtained with a 1214 fb(-1) data sample collected with the Belle detector in the vicinity of the Y(5S) resonance at the KEKB asymmetric-energy e(+)e(-) collider

492 citations


Authors

Showing all 32719 results

NameH-indexPapersCitations
Ronald C. Petersen1781091153067
P. Chang1702154151783
Vaclav Vrba141129895671
Milos Lokajicek139151198888
Christopher D. Manning138499147595
Yves Sirois137133495714
Rupert Leitner136120190597
Gerald M. Reaven13379980351
Roberto Sacchi132118689012
S. Errede132148198663
Mark Neubauer131125289004
Peter Kodys131126285267
Panos A Razis130128790704
Vit Vorobel13091979444
Jehad Mousa130122686564
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023203
2022554
20214,838
20204,793
20194,421
20183,991