Gibbs entropy from entanglement in electric quenches

In quantum electrodynamics with charged chiral fermions, a background electric field is the source of the chiral anomaly which creates a chirally imbalanced state of fermions. This chiral state is realized through the production of entangled pairs of right-moving fermions and left-moving antifermions (or vice versa, depending on the orientation of the electric field). Here we show that the statistical Gibbs entropy associated with these pairs is equal to the entropy of entanglement between the right-moving particles and left-moving antiparticles. We then derive an asymptotic expansion for the entanglement entropy in terms of the cumulants of the multiplicity distribution of produced particles and explain how to re-sum this asymptotic expansion. Finally, we study the time dependence of the entanglement entropy in a specific time-dependent pulsed background electric field, the so-called "Sauter pulse", and illustrate how our re-summation method works in this specific case. We also find that short pulses (such as the ones created by high energy collisions) result in an approximately thermal distribution for the produced particles.Comment: 12 pages, 4 figure

Entropy Suppression through Quantum Interference in Electric Pulses

The Schwinger process in strong electric fields creates particles and antiparticles that are entangled. The entropy of entanglement between particles and antiparticles has been found to be equal to the statistical Gibbs entropy of the produced system. Here we study the effect of quantum interference in sequences of electric pulses, and show that quantum interference suppresses the entanglement entropy of the created quantum state. This is potentially relevant to quantum-enhanced classical communications. Our results can be extended to a wide variety of two-level quantum systems.Comment: 4 pages, 5 figures, supplementary material: 3 pages, 1 figur

Physics-Informed Neural Networks for 2nd order ODEs with sharp gradients

In this work, four different methods based on Physics-Informed Neural Networks (PINNs) for solving Differential Equations (DE) are compared: Classic-PINN that makes use of Deep Neural Networks (DNNs) to approximate the DE solution;Deep-TFC improves the efficiency of classic-PINN by employing the constrained expression from the Theory of Functional Connections (TFC) so to analytically satisfy the DE constraints;PIELM that improves the accuracy of classic-PINN by employing a single-layer NN trained via Extreme Learning Machine (ELM) algorithm;X-TFC, which makes use of both constrained expression and ELM. The last has been recently introduced to solve challenging problems affected by discontinuity, learning solutions in cases where the other three methods fail. The four methods are compared by solving the boundary value problem arising from the 1D Steady-State Advection–Diffusion Equation for different values of the diffusion coefficient. The solutions of the DEs exhibit steep gradients as the value of the diffusion coefficient decreases, increasing the challenge of the problem

The evaluation of research infrastructures: a cost benefit analysis framework

When decision-makers consider pure and applied research infrastructures, such as genomics platforms, astronomic observatories, nanoelectronic laboratories, oceanographic vessels, or particle accelerator facilities (just to mention some examples) are faced by this question: what is the net social benefit of these costly scientific ventures and of the public goods they produce? The answer is often given qualitatively, or even rhetorically, by scientists and other stakeholders in these projects. But can we go beyond anecdotal evidence, narratives and ad hoc studies and try a structured ex-ante and ex-post evaluation of the socio-economic impact of research infrastructures? This paper explores some of the methodological issues involved in a CBA framework for capital-intensive scientific projects. The paper proposes a conceptual model based on the estimation of quantities and shadow prices of cost aggregates, and of six main categories of economic benefits (pure value of discovery, knowledge outputs, technological spillovers, human capital formation, cultural effects and services to third parties). Empirical approaches are suggested for further applied research, including the use of probability distribution functions to generate expected net present values of research infrastructures by Monte Carlo methods

Quality of Life and psychopathology in adults who underwent Hematopoietic Stem Cell Transplantation (HSCT) in childhood: a qualitative and quantitative analysis.

Background: Patients who undergo pediatric Hematopoietic Stem Cell Transplantation (HSCT) may experience long-term psychological sequelae and poor Quality of Life (QoL) in adulthood. This study aimed to investigate subjective illness experience, QoL, and psychopathology in young adults who have survived pediatric HSCT. Method: The study involved patients treated with HSCT in the Hematology-Oncology Department between 1984 and 2007. Psychopathology and QoL were investigated using the SCL-90-R and SF-36. Socio-demographic and medical information was also collected. Finally, participants were asked to write a brief composition about their experiences of illness and care. Qualitative analysis of the texts was performed using T-LAB, an instrument for text analysis that allows the user to highlight the occurrences and co-occurrences of lemma. Quantitative analyses were performed using non-parametric tests (Spearman correlations, Kruskal-Wallis and Mann-Whitney tests). Results: Twenty-one patients (9 males) participated in the study. No significant distress was found on the SCL-90 Global Severity Index, but it was found on specific scales. On the SF-36, lower scores were reported on scales referring to bodily pain, general health, and physical and social functioning. All the measures were significantly (p < 0.05) associated with specific socio-demographic and medical variables (gender, type of pathology, type of HSCT, time elapsed between communication of the need to transplant and effective transplantation, and days of hospitalization). With regard to the narrative analyses, males focused on expressions related to the body and medical therapies, while females focused on people they met during treatment, family members, and donors. Low general health and treatment with autologous HSCT were associated with memories about chemotherapy, radiotherapy, and the body parts involved, while high general health was associated with expressions focused on gratitude (V-Test \ub1 1.96). Conclusion: Pediatric HSCT survivors are more likely to experience psychological distress and low QoL in adulthood compared with the general population. These aspects, along with survivors' subjective illness experience, show differences according to specific medical and socio-demographic variables. Studies are needed in order to improve the care and long-term follow-up of these families

Concrush: Understanding fugitive dust production and potential emission at a recycled concrete manufacturing facility

The production and emission of fugitive dust is a topic ofconcern that Concrush brought to the MISG, 2020. Concrushis recycled concrete manufacturing company in the Hunterregion of New South Wales. Concrush's operations producefugitive dust, fine particles that can escape the site. Fugitive dust can travel long distances from the site ofemission, and can have negative health impacts includingrespiratory illnesses. Presently, concrete recyclingfacilities are managed by the Environmental ProtectionAgency using guidelines initially developed for the coalindustry. Concrush seeks to understand the appropriatenessof these guidelines, and how they can reduce and managefugitive dust on their Teralba site. Mathematical modellingof dust emission and transport, together with a review ofsimilar processes in the literature, identified a number ofpractical options for Concrush to reduce their dustemissions. In addition, opportunities for improved datacollection are identified

Internationalisation and the agglomeration effect : evidence from the Italian automotive supply chain

The aim of this paper is to study the characteristics of the internationalisation process and to identify its determinants in a representative sample of 786 firms in the Italian automotive chain. We carried out a a multinomial logit and an ordered probit analyses. The main findings of the econometric analyses based on the available micro-evidence are that: a) the firms in the Italian supply chain engage in complex modes of internationalisation; b) the individual firm\u2019s characteristics play a significant role in the probability of internalization; c) the firms located in the province of Turin have a clear localisation advantage, because of an \u201cindustrial district\u201d effect. We also observe that internationalisation is negatively correlated to the share of Fiat, the Italian dominant car maker, in the supplier\u2019s sale

Internationalisation modes and determinants : the cased of Italian automotive firms

This aim of this paper is to study the characteristics of the internationalisation process and to identify its determinants in a representative sample of firms in the Italian automotive chain. The main findings of an econometric analysis based on micro-evidence are that: a) the firms engage in complex modes of internationalisation; b) the individual firm\u2019s characteristics play a significant role; c) the firms located in the province of Turin have a clear localisation advantage, a sort of an\u201cindustrial district\u201d effect

Telecom Prices, Regulatory Reforms, Consumers&#8217; Satisfaction: Evidence for 15 EU Countries

We study the impact on consumers of privatization and liberalization in the telecommunication sector for 15 EU Countries. Policy reforms are summarized by the OECD regulatory indicators (REGREF), that consider the extent of privatization, vertical disintegration, and market entry. After controlling for other country variables, we first test the impact of ownership and regulatory changes on productivity and consumer prices. In a second step, we consider the Eurobarometer data on consumers\u2019 satisfaction about quality and prices of the telecommunication service. The analysis confirms the importance of market regulation in reducing prices and increasing productivity performances, but minimize the role played by privatization per se. The latter and liberalization of the telecommunication market play a role in explaining the consumers\u2019 satisfaction about prices and quality of the service, but country features are more important. Overall, our findings offer only mixed evidence, and somehow contradict, the hypothesis of welfare dominance across the EU of a unique reform paradigm in the telecom industry

Telecom reforms in the EU : prices and consumers\u2019 satisfaction

The paper shows the impact of privatization and liberalization on consumers in the telecommunication sector for 15 EU countries. Policy reforms are summarized by the OECD regulatory indicators (REGREF) that consider the extent of privatization, vertical disintegration, and market entry. After controlling for other country variables, first, a test of the impact of ownership and regulatory changes on consumer prices is given. In the second step, the Eurobarometer data on consumers' satisfaction about quality and prices of the telecommunication service are considered. The analysis confirms the importance of market regulation in reducing prices but minimizes the role played by privatization per se. Overall, the findings offer only mixed evidence, and somehow contradict, the hypothesis that all the reforms work in a similar way across the EU countries