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The well-known geometric phase present in the quantum adiabatic evolution discovered by Berry many years ago has its analogue, the Hannay phase, in the classical domain.We calculate the Berry phase with examples for quantum hermitian and non-hermitian $PT$-symmetric Hamiltonians and compare with the Hannay phase in their classical equivalents.We use the analogy to propose resonant electric circuits which reproduce the theoretical solutions in simulated laboratory experiments., 13 pages and 4 figures

Funding Information: This article/publication is based upon work from COST Action Action CA20114 PlasTHER “Therapeutical Applications of Cold Plasmas”, supported by COST (European Cooperation in Science and Technology). © European Physical Society, EDP Sciences, 2022 The research has demonstrated the antimicrobial properties of plasma urging the incorporation of cold atmospheric plasma (CAP) decontamination in current clinical therapies with the aim to improve the benefits on the patients and on society. publishersversion published

Background Coronavirus disease 2019 (COVID-19)-related short-term mortality is high in dialysis patients, but longer-term outcomes are largely unknown. We therefore assessed patient recovery in a large cohort of dialysis patients 3 months after their COVID-19 diagnosis. Methods We analyzed data on dialysis patients diagnosed with COVID-19 from 1 February 2020 to 31 March 2021 from the European Renal Association COVID-19 Database (ERACODA). The outcomes studied were patient survival, residence and functional and mental health status (estimated by their treating physician) 3 months after COVID-19 diagnosis. Complete follow-up data were available for 854 surviving patients. Patient characteristics associated with recovery were analyzed using logistic regression. Results In 2449 hemodialysis patients (mean ± SD age 67.5 ± 14.4 years, 62% male), survival probabilities at 3 months after COVID-19 diagnosis were 90% for nonhospitalized patients (n = 1087), 73% for patients admitted to the hospital but not to an intensive care unit (ICU) (n = 1165) and 40% for those admitted to an ICU (n = 197). Patient survival hardly decreased between 28 days and 3 months after COVID-19 diagnosis. At 3 months, 87% functioned at their pre-existent functional and 94% at their pre-existent mental level. Only few of the surviving patients were still admitted to the hospital (0.8–6.3%) or a nursing home (∼5%). A higher age and frailty score at presentation and ICU admission were associated with worse functional outcome. Conclusions Mortality between 28 days and 3 months after COVID-19 diagnosis was low and the majority of patients who survived COVID-19 recovered to their pre-existent functional and mental health level at 3 months after diagnosis.

Background Patients on kidney replacement therapy (KRT) are at very high risk of coronavirus disease 2019 (COVID-19). The triage pathway for KRT patients presenting to hospitals with varying severity of COVID-19 illness remains ill-defined. We studied the clinical characteristics of patients at initial and subsequent hospital presentations and the impact on patient outcomes. Methods The European Renal Association COVID-19 Database (ERACODA) was analysed for clinical and laboratory features of 1423 KRT patients with COVID-19 either hospitalized or non-hospitalized at initial triage and those re-presenting a second time. Predictors of outcomes (hospitalization, 28-day mortality) were then determined for all those not hospitalized at initial triage. Results Among 1423 KRT patients with COVID-19 [haemodialysis (HD), n = 1017; transplant, n = 406), 25% (n = 355) were not hospitalized at first presentation due to mild illness (30% HD, 13% transplant). Of the non-hospitalized patients, only 10% (n = 36) re-presented a second time, with a 5-day median interval between the two presentations (interquartile range 2–7 days). Patients who re-presented had worsening respiratory symptoms, a decrease in oxygen saturation (97% versus 90%) and an increase in C-reactive protein (26 versus 73 mg/L) and were older (72 vs 63 years) compared with those who did not return a second time. The 28-day mortality between early admission (at first presentation) and deferred admission (at second presentation) was not significantly different (29% versus 25%; P = 0.6). Older age, prior smoking history, higher clinical frailty score and self-reported shortness of breath at first presentation were identified as risk predictors of mortality when re-presenting after discharge at initial triage. Conclusions This study provides evidence that KRT patients with COVID-19 and mild illness can be managed effectively with supported outpatient care and with vigilance of respiratory symptoms, especially in those with risk factors for poor outcomes. Our findings support a risk-stratified clinical approach to admissions and discharges of KRT patients presenting with COVID-19 to aid clinical triage and optimize resource utilization during the ongoing pandemic.

We study the detection of particles with magnetic moment and no charge by using coils and solenoids. The detector uses the Faraday-Lenz law to create a current whose energy is measured. Our development can be applied to any particle with magnetic moment. The neutron is ideal to show our detector scheme for particles with long lifetimes and the result is encouraging. However, our interest lies in the detection of monopolium states which decays much faster than neutrons. The accelerator scenario with a relatively low monopole mass $\sim 1000$ GeV requires the generalization of the scheme to finite lifetimes. We use two descriptions, which we have called Dirac and Schwinger, (also $\beta$-coupling), schemes, in our study. The theoretical behavior of excited monopolia in coils teaches us many of their properties. However, their small production cross sections, given the achievable LHC luminosities, makes detection using coils difficult. Therefore, we generalize the discussion to cosmological heavy monopolium. Our scheme becomes useful for those and supplements detectors like MoEDAL and MAPP in distinguishing monopolia from other long lived particles., Comment: 22 pages and 19 figures

In this talk the answer to the question: what neutrinos have to do with QCD, the present theory of strong interactions? is presented. The answer is positive as some strong arguments on this assertion that are presented bring out., invited talk at LISHEP 2021

The equivalence between the $\mathrm{Schr\ddot{o}dinger}$ dynamics of a quantum system with a finite number of basis states and a classical dynamics is realized in terms of electric networks. The isomorphism that connects in a univocal way both dynamical systems was applied to the case of neutral mesons, kaons in particular, and the class of electric networks univocally related to the quantum system was analyzed. Moreover, under $CPT$ invariance, the relevant $\epsilon$ parameter that measures $CP$ violation in the kaon system is reinterpreted in terms of network parameters. All these results were explicitly shown by means of both a numerical simulation of the implied networks and by constructing the corresponding circuits.

We find that the ratio r_{mu e} of the muon to the electromagnetic component of an extended air shower at the ground level provides an indirect measure of the depth X_{max} of the shower maximum. This result, obtained with the air-shower code AIRES, is independent of the hadronic model used in the simulation. We show that the value of r_{mu e} in a particular shower discriminates its proton or iron nature with a 98% efficiency. We also show that the eventual production of forward heavy quarks inside the shower may introduce anomalous values of r_{mu e} in isolated events., 10 pages, version to appear in Astroparticle Physics

Burning biogas in a combined heat and power (CHP) plant is a promising option to reduce the emissions and the operational cost of a WWTP. However, the biogas generated in anaerobic digestion facilities in WWTPs contains average concentrations of H2S in the range from 0.1 to 0.5 vol.% which has to be removed to avoid corrosion, unnecessary production of by-products, and SO2 emissions. In a biotrickling filter (BTF), the H2S is absorbed and removed in a packed column where biomass is immobilized, being a liquid phase continuously recirculated from the bottom of the reactor. Advances in mathematical modelling of biofilters have allowed improving the knowledge of the phenomena and interactions involved in the biological desulfurization of biogas (Almenglo et al. 2013). The principal limitation for the long term operation of BTF in biogas sweetening is the accumulation of elemental sulphur due to oxygen mass transfer limitations. Apart from reducing the removal efficiency, this accumulation increases pressure drops, thus it increases the operation cost to blow the air through the bed, and force frequent maintenance tasks to replace or wash the packing material. In the present study, the dynamic model developed and validated by Rodriguez (2013) has been used to evaluate different control strategies and optimize the performance of a BTF located in the WWTP of Manresa (Barcelona). Particularly, the use of different kind of packing materials (organic and inorganic) has been evaluated to determine in different operation conditions which removal efficiency (RE) and sulphur accumulation could be expected, i.e time period of operation before the forced shutdown. Additionally, an optimal distribution of different particle sizes of materials has been proposed to reduce sulphur rate production, affecting minimally the abatement efficiencies currently obtained.