Measurement uncertainty relations for position and momentum: Relative entropy formulation

Heisenberg's uncertainty principle has recently led to general measurement uncertainty relations for quantum systems: incompatible observables can be measured jointly or in sequence only with some unavoidable approximation, which can be quantified in various ways. The relative entropy is the natural theoretical quantifier of the information loss when a `true' probability distribution is replaced by an approximating one. In this paper, we provide a lower bound for the amount of information that is lost by replacing the distributions of the sharp position and momentum observables, as they could be obtained with two separate experiments, by the marginals of any smeared joint measurement. The bound is obtained by introducing an entropic error function, and optimizing it over a suitable class of covariant approximate joint measurements. We fully exploit two cases of target observables: (1) $n$-dimensional position and momentum vectors; (2) two components of position and momentum along different directions. In (1), we connect the quantum bound to the dimension $n$; in (2), going from parallel to orthogonal directions, we show the transition from highly incompatible observables to compatible ones. For simplicity, we develop the theory only for Gaussian states and measurements.Comment: 33 page

Short-Term Association Between Ambient Air Pollution and Risk of Hospitalization for Acute Myocardial Infarction: Results of the Cardiovascular Risk and Air Pollution in Tuscany (RISCAT) Study

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Representativeness of the "Fiesole Misurata" study database for use in pharmaco-epidemiological investigations on adherence to antihypertensive medications

Background and aims Poor adherence to medications is a major health concern especially among older subjects. To plan future studies to improve adherence, an epidemiological study, called "Fiesole Misurata", was conducted. The aim of the present paper was to verify the representativeness of the database in evaluating the AntiHyper-Tensives (AHTs)-taking behaviour. Methods Demographic records of all subjects aged >= 65 years (n = 2,228) living in the community of Fiesole (Florence, Italy) was retrieved from the Registry Office of Fiesole Municipality. The corresponding healthcare records were obtained from administrative archives of the Local Health Authority (claim dataset). Moreover, a cohort of subjects aged >= 65 years (n = 385) living in the community was screened by means of a multidimensional geriatric evaluation (cross-sectional dataset). Results In claim dataset, biyearly prevalences of hospitalization for ischemic cardiomyopathy, heart failure, and stroke were 3.7, 3.0, and 3.2 %, respectively. In the cross-sectional dataset, prevalences were 11.2, 6.7, and 7.1 %, respectively. The most used drugs were angiotensin-converting enzyme inhibitors (43.6 % in the claim dataset, 45.3 % in the cross-sectional dataset) and diuretics (35.6 % and 47.0 %, respectively). Among the incident users of AHTs, 63.5 % was highly adherent (>= 80 %) over the first 6 months of follow-up, while 14.3 and 22.2 % were intermediate (40-79 %) and low (< 40 %) adherent. The percentage of high adherers decreased with time and reached 31.2 % at the 24th month. Conclusions These findings indicate that "Fiesole Misurata" study database can be used to develop future strategies aimed at improving the adherence to AHTs in older individuals

Teaching during the pandemic: a comparison in psychological wellbeing among smart working professions

Background: As a result of the COVID-19 pandemic, since March 2020, the Italian population was forced into lockdown to prevent the spread of the virus. The restrictive measures imposed forced many organizations and workers to work through online platforms and no longer in-person. Smart working, enjoyed by some workers for its flexibility, affected several professional categories. The purpose of this study was to investigate whether there are differences in the psychological variables related to four groups of professional categories (practitioners, managers, executive employees, teachers), particularly the teachers group. Methods: A total sample of 628 individuals was recruited through a random probability sample across Italy. Due to the lockdown, an online questionnaire was developed; several validated scales were chosen, and some ad hoc constructed items related to the smart working experience were included. Results: The results showed statistically significant differences between the four groups of examined smart workers. Conclusions: All workers have had to readjust to this new way of working, but our results show that teachers were the most affected, both in the perception of their psychological well-being and in the management of the smart working mode

Older Adolescents Who Did or Did Not Experience COVID-19 Symptoms: Associations with Mental Health, Risk Perception and Social Connection

After a decrease in detected cases in the summer, Europe faced the emergence of a second wave of coronavirus disease 19 (COVID-19). Few studies have investigated adolescents, who may constitute a target group with possible lower compliance to public health measures, particularly the social distancing measures. A total sample of 492 participants was included in the study, and the ages of the participants ranged from 18–24 years. According to the hypothesis of our study, the sample was divided into two groups: those who experienced COVID-19 symptoms and those who did not experience COVID-19 symptoms. Demographic characteristics, knowledge, perceptions, and behaviors related to COVID-19 were investigated with ad hoc items; in addition, mood disorders, self-efficacy, and social connectedness were explored. Our results showed significant differences in the variables of risk perception, self-efficacy, and measures of belongingness among older adolescents who did or did not experience COVID-19 symptoms. In this period, adolescents experienced unprecedented disruptions in their daily lives, leading them to isolation and loneliness. Compliance with restrictive measures is considered both a proactive behavior and a social responsibility, especially if supported by prosocial reasons to prevent others from getting sick; therefore, this must be the focus of raising awareness of anti-COVID-19 compliance among adolescents

Differential Network Analysis Reveals Metabolic Determinants Associated with Mortality in Acute Myocardial Infarction Patients and Suggests Potential Mechanisms Underlying Different Clinical Scores Used To Predict Death

We present here the differential analysis of metabolite-metabolite association networks constructed from an array of 24 serum metabolites identified and quantified via nuclear magnetic resonance spectroscopy in a cohort of 825 patients of which 123 died within 2 years from acute myocardial infarction (AMI). We investigated differences in metabolite connectivity of patients who survived, at 2 years, the AMI event, and we characterized metabolite-metabolite association networks specific to high and low risks of death according to four different risk parameters, namely, acute coronary syndrome classification, Killip, Global Registry of Acute Coronary Events risk score, and metabolomics NOESY RF risk score. We show significant differences in the connectivity patterns of several low-molecular-weight molecules, implying variations in the regulation of several metabolic pathways regarding branched-chain amino acids, alanine, creatinine, mannose, ketone bodies, and energetic metabolism. Our results demonstrate that the characterization of metabolite-metabolite association networks is a promising and powerful tool to investigate AMI patients according to their outcomes at a molecular level.</p