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https://viurrspace.ca/bitstream/handle/10613/15423/Dec13-1901.pdf?sequence=2

This paper investigates the determinants of the movements in the long-term Standard & Poors and CAMELS bank ratings in the Czech Republic during the period when the three biggest banks, representing approximately 60% of the Czech banking sector’s total assets, were privatized (i.e., the time span 1998–2001).

Writers develop a numerical procedure that facilitates efficient likelihood evaluation in applications involving non-linear and non-Gaussian state-space models. The procedure employs continuous approximations of filtering densities, and delivers unconditionally optimal global approximations of targeted integrands to achieve likelihood approximation.

This work explains movements in the UV space, i.e. the relationship between stocks of unemployment and vacancies known as the Beveridge curve, in the Czech Republic during 1995–2004. While the Beveridge curve is described by labour market stocks, the work explains shifts in the Beveridge curve using gross labour market flows by estimating the matching function.

This archive contains figures from the paper "Global hotspots in soil moisture-based drought trends", published in Environmental Research Letters.

Předložený výsledek tvoří kolekce SW nástrojů, které slouží jako základ pro tvorbu nástrojů pro autonomní dynamickou verifikaci bezpečnostních opatření. Jde o SW simulátor kyberbezpečnostních interakcí, prototyp nástroje pro generování kyberbezpečnostních scénářů a prototyp nástroje pro dynamické penetrační testování, založený na využití strojového učení. The presented result is a collection of SW tools that serve as a base for creating tools for autonomous dynamic verification of security measures. These include an SW simulator of cybersecurity interactions, a prototype tool for generating cybersecurity scenarios, and a prototype tool for dynamic penetration testing based on machine learning.

Article focuses on the prediction of bankruptcy of the 1,000 medium-sized retail business companies in EU from which 170 companies gone bankrupt in 2014 with respect to lag of the used features. In recent times, bankruptcy of manufacturing companies rapidly increased due to the impact of the recession, which produces economic and social problems accordingly. Therefore, the need for bankruptcy prediction models is very high. From various types of classifi cation models we chose Support vector machines method with spline, hyperbolic tangent and RBF ANOVA kernels, Decision trees, Random forests and Adaptive boosting to acquire best results. Pre-processing is enhanced with fi lter based feature selection like Gain ratio and Relief algorithm to acquire attributes with the best information value. As we can see both fi ltering methods offers different variables to be used in the classifi cation and Decision trees wrapper algorithm chose less number than its competitors. Suitable attributes as ROA, Interest cover, Solvency ratio based on assets and Operating revenues were mostly used but it also changes across the time, which are probably very obtainable. It is apparent that inappropriate theoretical value of one variable does not necessarily lead to bankruptcy, so it is better to use combinations of these variables. From the results it is obvious that with the rising distance to the bankruptcy there drops precision of bankruptcy prediction. The last year (2013) with avaible fi nancial data offers best total prediction accuracy, thus we also infer both the Error I and II types for better recognizance of misclassifi cation rates. The Random forest and Decision trees offer better accuracy for bankruptcy prediction than SVM method, both method offers prediction accuracy which is comparable to previous empirical studies.

https://viurrspace.ca/bitstream/handle/10613/18481/Jun19-1912.pdf?sequence=2&isAllowed=y

Multimodal Microscopy Workshop is focused on atomic force microscopy combined with other microscopies. Our program is designed to cover a broad spectrum of topics, including cutting-edge developments in structural analysis, mechanical characterization, and chemical mapping of biological specimens. Through a series of engaging presentations, hands-on sessions, and interactive discussions, we aim to foster a collaborative environment where ideas can be exchanged, and innovative solutions can emerge.

This article analyzes the phenomenon of financial integration on both the theoretical and empirical levels, focusing primarily on assessing the impacts of the current financial crisis. In the theoretical section writers look at the definition of financial integration and summarize the benefits and costs associated with this process. The subsequent empirical section provides an analysis of the speed and level of integration of the Czech financial market and the markets of selected inflation-targeting Central European economies (Hungary and Poland) and advanced Western European economies (Sweden and the UK) with the euro area.