197,337 research outputs found
QCD Studies at Hadron Colliders and in Deeply Virtual Neutrino Scattering.
No full textComments: Ph.D. Thesis, Adivisor Claudio Coriano', 202pp
Subjects: High Energy Physics - Phenomenology (hep-ph)
Cite as: arXiv:hep-ph/0612355v2
This thesis work summarizes studies in QCD for applications both at hadron colliders and in exclusive processes. In the first part we focus our attention on the study of the initial state scaling violations and the evolution of the unpolarized parton distributions through Next-to-Next to Leading Order (NNLO) in , the strong coupling, suitable for precision studies of the parton model at the LHC. Specifically, we analize the methods available to solve the equations and develope the theory of the logarithmic expansions at the same perturbative order. A study of the Higgs total cross section is included. The theoretical analysis is accompanied by the developement of professional software partly documented in this thesis. We also include one study of the evolution of the transverse spin distributions (the Soffer inequality) and a parallel study of the asymmetries for the Drell-Yan process for the proposed Pax experiment at GSI at NLO. In the second part we introduce the extension of Deeply Virtual Compton Scattering to the electroweak sector for neutrino detection at neutrino factories at intermediate energy
Solving renormalization group equations by recursion relations.
No full textSPIRES Conf Num: C02/06/27.
Leading twist amplitudes for exclusive neutrino interactions in the deeply virtual limit.
No full textLocalization of the human oxytocin receptor in caveolin-1 enriched domains turns the receptor-mediated inhibition of cell growth into a proliferative response
No full textIn this study, we investigated the functional role of the localization of human OTR in caveolin-1 enriched membrane domains. Biochemical fractionation of MDCK cells stably expressing the WT OTR-GFP indicated that only minor quantities of receptor are partitioned in caveolin-1 enriched domains. However, when fused to caveolin-2, the OTR protein proved to be exclusively localized in caveolin-1 enriched fractions, where it bound the agonist with increased affinity and efficiently coupled to Galpha(q/11). Interestingly, the chimeric protein was unable to undergo agonist-induced internalization and remained confined to the plasma membrane even after prolonged agonist exposure (120 min). A striking difference in receptor stimulation was observed when the OT-induced effect on cell proliferation was analysed: stimulation of the human WT OTR inhibited cell growth, whereas the chimeric protein had a proliferative effect. These data indicate that the localization of human OTR in caveolin-1 enriched microdomains radically alters its regulatory effects on cell growth; the fraction of OTR residing in caveolar structures may therefore play a crucial role in regulating cell proliferation
Predicting Glycemia by Using RNNs and Heart Rate Patient Data
No full textType 1 diabetes mellitus (T1DM) is a chronic disease caused by the destruction of the pancreatic beta cells resulting in an insufficient insulin production. This generates high blood glucose levels which causes physical and cardiovascular problems [Guzzi et al.(2023)]. Currently, the commonly available therapy regards the intake of insulin to control glycemia. The level of glycemia varies on a daily basis and it is influenced by the glucose intake. The correct prediction of glycemia variability may suggest a correct dosage of insulin, therefore the optimal control strategy. There exist some physiological parameters which can be used for prediction of glycemia. Recurrent Neural Networks (RNNs) have been largely used for prediction of a continuous output from a similar input. Heart rate can be used as input for an RNN and its output used as glycemia values predictor. We report about an experimet performed at University Hospital of Catanzaro on a sampled dataset. We report about results in using an RNN for predicting blood glucose levels from heart rate signal
Z'searches at the LHC: Some QCD precision studies in Drell-Yan
No full textDiscovery potentials for extra neutral interactions at the Large Hadron Collider in forthcoming experiments are analyzed in Drell-Yan. For this purpose we use high-precision next-to-next-to-leading order (NNLO) determination of the Z′ invariant-mass distributions and of the total cross-sections in the kinematic region around 1 TeV. In this region we explore the possibility to make a preliminary distinction between different anomaly-free extensions of the Standard Model. © Società Italiana di Fisica
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