Patient accepted to ER with diagnosis of first seizure: predictive variables of convulsive syncope.

6openopenC.L. SMERALDA, F. BEVILACQUA, G. PAULETTO, M. FANZUTTI, F. PALESE, G. GIGLISmeralda, C. L.; Bevilacqua, F.; Pauletto, G.; Fanzutti, M.; Palese, F.; Gigli, G

A process plant retrofitting framework in industry 4.0 perspective

none8noRetrofitting old plants is an excellent alternative to their replacement to prepare them for industry 4.0. Many papers are related to retrofitting, but few studies concerned the process industries. A framework to retrofit a process plant is presented and applied to a two-phase mixing plant providing a guide starting from the plant study and ending with the I4.0 paradigm implementation. The approach allowed to improve plant safety and maintainability conditions. The several issues arising during the retrofitting can be related to its multidisciplinarity aspects, the recursion in the definition of new variables to be monitored, and the information flow management.openDi Carlo F.; Mazzuto G.; Bevilacqua M.; Ciarapica F.E.; Ortenzi M.; Di Donato L.; Ferraro A.; Pirozzi M.Di Carlo, F.; Mazzuto, G.; Bevilacqua, M.; Ciarapica, F. E.; Ortenzi, M.; Di Donato, L.; Ferraro, A.; Pirozzi, M

Polymorphism of α_S1-casein in goat milk: identification of A, B, E and F variants by biochemical and genetic analysis

Many researches, related to genetic polymorphism of αS1-casein in goat milk, showed a marked variability and implications in milk and dairy product traits. The genetic variants (from A to G) were associated with four levels of expression: 3,6 g/L per A, B and C (“strong” alleles); 1,6 g/L per E (“medium” allele); 0,6 g/L per F (“weak” allele) and 0 g/L per O (“null” allele). Differences existing among the A, B, C, D, E, F, G and O have been described (Grosclaude et al., 1994). To analyze genetic polymorphism of caseins from goat milk, distinct electrophoretic (Russo et al., 1986; Addeo et al., 1988) and chromatographic techniques (Jaubert and Martin, 1992; Iametti et al., 1999) were applied. In last years, the advancement in technological field is allowing the research of primary structure of protein variants (Ferranti et al., 1997; Trujillo et al., 2000) and basic sequence of new alleles (Martin et al., 1999; Bevilacqua et al., 2002; Ramunno et al., 2002). In this work, we employed electrophoretic protein separation (IEF and SDS-PAGE), chromatographic analysis (RP-HPLC) and molecular biology techniques based on polymerase chain reaction (real-time PCR) to detect αS1-CN genetic variants from goat milk. The utility of protein and DNA analysis combination was discussed

On the ratio of ttbb and ttjj cross sections at the CERN Large Hadron Collider

Triggered by ongoing experimental analyses, we report on a study of the cross section ratio sigma(pp -> ttbb)/sigma(pp -> ttjj) at the next-to-leading order in QCD, focusing on both present and future collider energies: sqrt{s}= 7, 8, 13 TeV. In particular, we provide a comparison between our predictions and the currently available CMS data for the 8 TeV run. We further analyse the kinematics and scale uncertainties of the two processes for a single set of parton distribution functions, with the goal of assessing possible correlations that might help to reduce the theoretical error of the ratio and thus enhance the predictive power of this observable. We argue that the different jet kinematics makes the ttbb and ttjj processes uncorrelated in several observables, and show that the scale uncertainty is not significantly reduced when taking the ratio of the cross sections.Comment: 23 pages, 10 figures, 3 tables, some issues clarified, acknowledgement and references added, version to appear in JHE

Complete off-shell effects for top-antitop + jet production with leptonic decays at the LHC

A brief summary of the calculation of the NLO QCD corrections to the process pp -> e+ ve mu- v_mu bb~ j + X is reported. This provides a complete description of the process of t-tbar + jet production with leptonic decays beyond the narrow-width approximation. Off-shell effects for top quarks and W boson decays are fully taken into account, namely all resonant and non-resonant contributions are included in the fixed-order calculation. Selected results for total and differential cross sections are shown for the case of the LHC Run I at the energy of 8 TeV.Comment: 8 pages, 4 figures. To appear in the Proceedings of the 24th International Workshop on Deep-Inelastic Scattering and Related Subjects (DIS 2016), 11-15 April 2016, DESY Hamburg, German

ttˉbbˉt\bar{t}b\bar{b} hadroproduction with massive bottom quarks with PowHel

The associated production of top-antitop-bottom-antibottom quarks is a relevant irreducible background for Higgs boson analyses in the top-antitop-Higgs production channel, with Higgs decaying into a bottom-antibottom quark pair. We implement this process in the PowHel event generator, considering the bottom quarks as massive in all steps of the computation which involves hard-scattering matrix-elements in the 4-flavour number scheme combined with 4-flavour Parton Distribution Functions. Predictions with NLO QCD + Parton Shower accuracy, as obtained by PowHel + PYTHIA, are compared to those which resulted from a previous PowHel implementation with hard-scattering matrix-elements in the 5-flavour number scheme, considering as a baseline the example of a realistic analysis of top-antitop hadroproduction with additional $b$-jet activity, performed by the CMS collaboration at the Large Hadron Collider.Comment: 9 pages, 6 figure

Non-Gaussian Geostatistical Modeling using (skew) t Processes

We propose a new model for regression and dependence analysis when addressing spatial data with possibly heavy tails and an asymmetric marginal distribution. We first propose a stationary process with $t$ marginals obtained through scale mixing of a Gaussian process with an inverse square root process with Gamma marginals. We then generalize this construction by considering a skew-Gaussian process, thus obtaining a process with skew-t marginal distributions. For the proposed (skew) $t$ process we study the second-order and geometrical properties and in the $t$ case, we provide analytic expressions for the bivariate distribution. In an extensive simulation study, we investigate the use of the weighted pairwise likelihood as a method of estimation for the $t$ process. Moreover we compare the performance of the optimal linear predictor of the $t$ process versus the optimal Gaussian predictor. Finally, the effectiveness of our methodology is illustrated by analyzing a georeferenced dataset on maximum temperatures in Australi