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Institution

University of Naples Federico II

EducationNaples, Campania, Italy
About: University of Naples Federico II is a education organization based out in Naples, Campania, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29291 authors who have published 68803 publications receiving 1920149 citations. The organization is also known as: Università degli Studi di Napoli Federico II & Naples University.


Papers
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Journal ArticleDOI
TL;DR: A tentatively comprehensive tutorial report of the most recent literature on kinematic control of redundant robot manipulators lends some perspective to the most widely adopted on-line instantaneous control solutions, namely those based on the simple manipulator's Jacobian.
Abstract: In this paper, we present a tentatively comprehensive tutorial report of the most recent literature on kinematic control of redundant robot manipulators. Our goal is to lend some perspective to the most widely adopted on-line instantaneous control solutions, namely those based on the simple manipulator's Jacobian, those based on the local optimization of objective functions in the null space of the Jacobian, those based on the task space augmentation by additional constraint tasks (with task priority), and those based on the construction of inverse kinematic functions.

581 citations

Journal ArticleDOI
TL;DR: In this paper, two-particle angular correlations for charged particles emitted in pPb collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV are presented.

575 citations

Journal ArticleDOI
TL;DR: The results underline the primary importance of HLA-DQ alleles in susceptibility to celiac disease, and the extreme rarity of celiac patients carrying neither the D Q2 or DQ8 heterodimers nor one half of the DQ2 heterodimer alone.

575 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek  +3081 moreInstitutions (197)
TL;DR: A combined search for the Standard Model Higgs boson with the ATLAS experiment at the LHC using datasets corresponding to integrated luminosities from 1.04 fb(-1) to 4.9 fb(1) of pp collisions is described in this paper.

572 citations

Journal ArticleDOI
TL;DR: In this article, the performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 inverse picobarns of data collected in pp collisions at the LHC in 2010.
Abstract: The performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 inverse picobarns of data collected in pp collisions at sqrt(s) = 7 TeV at the LHC in 2010. A few benchmark sets of selection criteria covering a wide range of physics analysis needs have been examined. For all considered selections, the efficiency to reconstruct and identify a muon with a transverse momentum pT larger than a few GeV is above 95% over the whole region of pseudorapidity covered by the CMS muon system, abs(eta)<2.4, while the probability to misidentify a hadron as a muon is well below 1%. The efficiency to trigger on single muons with pT above a few GeV is higher than 90% over the full eta range, and typically substantially better. The overall momentum scale is measured to a precision of 0.2% with muons from Z decays. The transverse momentum resolution varies from 1% to 6% depending on pseudorapidity for muons with pT below 100 GeV and, using cosmic rays, it is shown to be better than 10% in the central region up to pT = 1 TeV. Observed distributions of all quantities are well reproduced by the Monte Carlo simulation.

568 citations


Authors

Showing all 29740 results

NameH-indexPapersCitations
D. M. Strom1763167194314
Yang Gao1682047146301
Robert Stone1601756167901
Elio Riboli1581136110499
Barry J. Maron15579291595
H. Eugene Stanley1541190122321
Paul Elliott153773103839
Robert O. Bonow149808114836
Kai Simons14742693178
Peter Buchholz143118192101
Martino Margoni1412059107829
H. A. Neal1411903115480
Luca Lista1402044110645
Pierluigi Paolucci1381965105050
Ari Helenius13729864789
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023234
2022660
20216,021
20205,957
20194,881
20184,267