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The main objective of this research was to determine the synoptic and thermodynamic conditions accompanying the development of two severe thunderstorms that caused significant damage in Warsaw. The storm events of 17 June and 4 September 2016 were analysed. Materials used in the research included meteorological, aerological and radar data, as well as the Fire Service interventions database. These data allowed the conditions for the formation of the storms and their spatial variations in terms of intensity to be determined. It was shown that damage in Warsaw was caused by phenomena associated with supercell storms that developed in a moderate CAPE environment and a strong shear. It was confirmed that the geometry of the city increased the wind speed and modified its direction locally. In addition, it was found that the data on the number of Fire Service interventions clearly reflected the spatial variations in storm intensity by corresponding radar signatures to the high intensity of meteorological phenomena.

The statistical hadronization model ThermalFist was applied to numerous hadron yields measured in p+p collisions at √S = 8.8s=8.8, 12.3 and 17.3 GeV, including recently published yields of ϕ-mesons, measured by the NA61/SHINE Collaboration. We consistently used the energy-dependent widths of Breit-Wigner mass distributions of hadronic resonances, as this approach was generally found to provide better agreement with experimental data. The well-established experimental ϕ meson yields are consequently accounted for (although neglecting this particle was found to improve the fit quality). The canonical treatment of particles with open strangeness with the grand canonical approach for non-strange particles gave a moderately reasonable agreement with the measured yields, only when the volume of strange particles was allowed to vary freely. In all the studied cases this volume is found to be greater than the canonical one.

In March 2019 the HADES experiment recorded 14 billion Ag+Ag collisions at √sNN = 2.55 GeV as a part of the FAIR phase-0 physics program. In this contribution, we present and investigate our capabilities to reconstruct and analyze weakly decaying strange hadrons and hypernuclei emerging from these collisions. The focus is put on measuring the mean lifetimes of these particles.

Identifying potential healthy and unsound customers is an important task. The reduction of loans granted to companies of questionable credibility can influence banks’ performance. A prior identification of factors that affect the condition of companies is a vital element. Among the most commonly used methods we can enumerate discriminant analysis (DA), scoring methods, neural networks (NN), etc. This paper investigates the use of different structure NN and DA in the process of the classification of banks’ potential clients. The results of those different methods are juxtaposed and their performance compared.

The main goal of this paper is a discussion on the correct choice of annualized return rate. Selected return rate should be appropriate for the multiannual comparative analysis of bank deposits and investment funds. The whole discussion was based on theoretical considerations and a numerical experiment.

The behavioural present value is defined as a fuzzy number assessed under the impact of chosen behavioural factors. The first formal model turned out to be burdened with some formal defects which are finally corrected in the presented article. In this way a new modified formal model of a behavioural present value is obtained. New model of the behavioural present value is used to explain the phenomenon of market equilibrium on the efficient financial market remaining in the state of financial imbalance. These considerations are illustrated by means of extensive numerical case study.

The statistical hadronization model ThermalFist was applied to numerous hadron yields measured in p+p collisions at √s = 8.8, 12.3, and 17.3 GeV, including recently published yields of ф and K0 S-mesons, measured by the NA61/SHINE Collaboration. We consistently used the energydependent widths of Breit--Wigner mass distributions of hadronic resonances. The canonical treatment of particles with open strangeness combined with the grand canonical approach for non-strange particles gave a moderately reasonable agreement with the measured yields, quantified by χ2/NDF ≈ 2-7, only when the volume of strange particles was allowed to vary freely. This volume is found to be greater than the one for non-strange matter for all the studied energies. The predicted yields of some of not yet measured particles are provided. [ABSTRACT FROM AUTHOR]

Following the recent measurement of several hadron yields by NA61/SHINE collaboration, the unified set of yields of particles produced in proton–proton collisions at = 17.3 GeV (laboratory beam momentum 158 GeV/c) is evaluated, combining the results of the NA49 and NA61/SHINE collaborations at the CERN SPS. With the statistical hadronization code Thermal-Fist we confirm the unacceptably high value of χ2, both in the canonical and grand canonical—strangeness canonical approach, and the common volume for all the hadrons. The use of the energy-dependent width of the Breit–Wigner parametrization for the mass distributions of unstable particles improves the quality of the description of particle yields only slightly. We confirm the observation that exclusion of the ϕ meson yield makes the fit result more reasonable. The complete experimental data set of particle yields can be also reasonably fitted if the canonical volumes of hadrons without and with open strangeness are allowed to vary independently. The canonical volume of strangeness was found to be larger than that for non-strange hadrons. The femtoscopy measurements with kaon pairs and pion pairs at 27.4, 63 and 900 GeV are not precise enough to confirm or reject this observation. The model with the best-fit parameters allows to predict the yields of several not yet measured particles emitted from p + p at = 17.3 GeV. [ABSTRACT FROM AUTHOR]