Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Technology Innovation for Discovering Renal Autoantibodies in Autoimmune Conditions.

Autoimmune glomerulonephritis is a homogeneous area of renal pathology with clinical relevance in terms of its numerical impact and difficulties in its treatment. Systemic lupus erythematosus/lupus nephritis and membranous nephropathy are the two most frequent autoimmune conditions with clinical relevance. They are characterized by glomerular deposition of circulating autoantibodies that recognize glomerular antigens.

[Analysis of the long-term effects of COVID-19 infection (long-COVID) in Italy during and after the pandemic emergency and response strategy].

Background: the long-COVID condition is gaining increasing relevance in terms of public health, but few studies have evaluated its impact on use of healthcare resources and the organizational responses of healthcare systems. Although many studies have evaluated case studies of individuals with long-COVID, the clinical spectrum of symptoms is still poorly defined due to the heterogeneity of the populations studied, the variability of the definitions used, and the absence of disease markers. In this context, in 2022, a project was designed and implemented in cooperation between the National Centre for Prevention and Control of the Italian Ministry of Health and the Italian National Health Institute (Istituto Superiore di Sanità, ISS).

Simulating Non-Markovian Dynamics in Multidimensional Electronic Spectroscopy via Quantum Algorithm.

Including the effect of the molecular environment in the numerical modeling of time-resolved electronic spectroscopy remains an important challenge in computational spectroscopy. In this contribution, we present a general approach for the simulation of the optical response of multichromophore systems in a structured environment and its implementation as a quantum algorithm. A key step of the procedure is the pseudomode embedding of the system-environment problem resulting in a finite set of quantum states evolving according to a Markovian quantum master equation.