7 research outputs found

    Comparison of the serious injury pattern of adult bicyclists, between South-West Netherlands and the State of Victoria, Australia 2001-2009

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    Background: Head injury is the leading cause of death and long term disability from bicycle injuries and may be prevented by helmet wearing. We compared the pattern of injury in major trauma victims resulting from bicyclist injury admitted to hospitals in the State of Victoria, Australia and South-West Netherlands, with respective high and low prevalence of helmet use among bicyclists. Methods: A cohort of bicycle injured patients with serious injury (defined as Injury Severity Score > 15) in South-West Netherlands, was compared to a cohort of serious injured bicyclists in the State of Victoria, Australia. Additionally, the cohorts of patients with serious injury admitted to a Dutch level 1 trauma centre in Rotterdam, the Netherlands and an Australian level 1 trauma centre in Melbourne, Australia were compared. Both cohorts included patients admitted between July 2001 and June 2009. Primary outcome was in-hospital mortality and secondary outcome was prevalence of severe injury per body region. Outcome was compared using univariate analysis and mortality outcomes were also calculated using multivariable logistic regression models. Results: A total of 219 cases in South-West Netherlands and 500 cases in Victoria were analyzed. Further analyses comparing the major trauma centres in each region, showed the percentage of bicycle-related death was higher in the Dutch population than in the Australian (n = 45 (24%) vs n = 13(7%); P < 0.001). After adjusting for age, mechanism of injury, GCS and head injury severity in both hospitals, there was no significant difference in mortality (adjusted odds ratio 1.4; 95% confidence interval = 0.6, 3.5). Patients in Netherlands trauma centre suffered from more serious head injuries (Abbreviated Injury Scale ≥ 3) than patients in the Australian trauma centre (n = 165 (88.2%) vs n = 121 (62.4%); P < 0.001). The other body regions demonstrated significant differences i

    Measurement of single-diffractive dijet production in proton–proton collisions at √s=8Te with the CMS and TOTEM experiments

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    Measurements are presented of the single-diffractive dijet cross section and the diffractive cross section as a function of the proton fractional momentum loss ξ and the four-momentum transfer squared t. Both processes pp→pX and pp→Xp, i.e. with the proton scattering to either side of the interaction point, are measured, where X includes at least two jets; the results of the two processes are averaged. The analyses are based on data collected simultaneously with the CMS and TOTEM detectors at the LHC in proton–proton collisions at s=8Te during a dedicated run with β∗=90m at low instantaneous luminosity and correspond to an integrated luminosity of 37.5nb-1. The single-diffractive dijet cross section σjjpX, in the kinematic region ξ&amp;lt; 0.1 , 0.03&amp;lt;|t|&amp;lt;1Ge2, with at least two jets with transverse momentum pT&amp;gt;40Ge, and pseudorapidity | η| &amp;lt; 4.4 , is 21.7±0.9(stat)-3.3+3.0(syst)±0.9(lumi)nb. The ratio of the single-diffractive to inclusive dijet yields, normalised per unit of ξ, is presented as a function of x, the longitudinal momentum fraction of the proton carried by the struck parton. The ratio in the kinematic region defined above, for x values in the range - 2.9 ≤ log 10x≤ - 1.6 , is R=(σjjpX/Δξ)/σjj=0.025±0.001(stat)±0.003(syst), where σjjpX and σjj are the single-diffractive and inclusive dijet cross sections, respectively. The results are compared with predictions from models of diffractive and nondiffractive interactions. Monte Carlo predictions based on the HERA diffractive parton distribution functions agree well with the data when corrected for the effect of soft rescattering between the spectator partons. © 2020, CERN for the benefit of the CMS and TOTEM collaborations

    A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

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    We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of s=13TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb-1. A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ¯. © 2020, The Author(s)

    Erratum to: Measurement of exclusive Υ photoproduction from protons in pPb collisions at s NN = 5.02 TeV (The European Physical Journal C, (2019), 79, 3, (277), 10.1140/epjc/s10052-019-6774-8)

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    In this article the author name Luigi Calligaris was incorrectly written as A. Calligaris. The original article has been corrected. © CERN for the benefit of the CMS collaboration 2022

    Search for low mass vector resonances decaying into quark-antiquark pairs in proton-proton collisions at root s=13 Tev

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    A search for low mass narrow vector resonances decaying into quark-antiquark pairs is presented. The analysis is based on data collected in 2017 with the CMS detector at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 41.1 fb-1. The results of this analysis are combined with those of an earlier analysis based on data collected at the same collision energy in 2016, corresponding to 35.9 fb-1. Signal candidates will be recoiling against initial state radiation and are identified as energetic, large-radius jets with two pronged substructure. The invariant jet mass spectrum is probed for a potential narrow peaking signal over a smoothly falling background. No evidence for such resonances is observed within the mass range of 50-450 GeV. Upper limits at the 95% confidence level are set on the coupling of narrow resonances to quarks, as a function of the resonance mass. For masses between 50 and 300 GeV these are the most sensitive limits to date. This analysis extends the earlier search to a mass range of 300-450 GeV, which is probed for the first time with jet substructure techniques
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