Publications by authors named "F Gasparini"

Background: In clinical settings, the prognosis of patients with subtle cognitive complaints and no imaging evidence of neurodegeneration is often challenging, especially in conditions unrelated to Alzheimer's Disease (AD). We aimed to identify which baseline indicators can help in the clinical decision-making process of patients with Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) without AD pathology, by identifying those with faster brain atrophy for their age.

Method: Young-onset SCD and MCI patients (symptoms ≤65yo) were recruited.

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The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

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The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138  fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.

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A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13  TeV, corresponding to an integrated luminosity of 138  fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.

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This study aimed to evaluate post - prandial glucose response (PPGR) after a traditional Italian breakfast and an alternative meal in children with type 1 diabetes (T1D). Preliminary findings showed that by replacing a small portion ofcarbohydrates with fats helpsimprovingPPGR after breakfast in children with T1D.

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