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On the basis of online survey (made in 2017) about entrepreneurship environment we wanted to find out which entrepreneurship conditions are different from the viewpoint of Czech university students (156 men and 252 women) and Slovak university students (216 men and 352 women). From 40 available questionnaire items about two-thirds of them were different in a group of Czech university students compared with Slovak university students (p < 0.05). Czech university students trust more in: entrepreneurial support from the state, macroeconomic environment, quality of entrepreneurship environment and quality of university education compared with Slovak students. In contrast, Slovak students are more optimistic about the image of entrepreneurs in the media, about personal attributes for entrepreneurship, about career growth in entrepreneurship and are more ready to start entrepreneurship after graduation. CART decision tree was used for the multivariate classification problem between Czech university students and Slovak university students. A final CART decision tree model involved only four questionnaire items. Two of them were related to rather macroeconomic conditions-"Legal conditions for doing entrepreneurship are of high quality" and "I consider the macroeconomic environment of my country to be positive for entrepreneurship". These items were significantly more positively accepted in a group of Czech university students. The other pair of involved items was concerned with personality traits-"Every person has certain prerequisites for entrepreneurship" and "The most important characteristics of an entrepreneur are specializsation, persistence, responsibility, and risk-resistance." They were more valued in the case of Slovak university students. Average correct classification rate of CART decision tree model with four mentioned items was 71.0%.

We propose an application of the Kolmogorov-Smirnov test for rapidity distributions of individual events in ultrarelativistic heavy ion collisions. The test is particularly suitable to recognise nonstatistical differences between the events. Thus when applied to a narrow centrality class it could indicate differences between events which would not be expected if all events evolve according to the same scenario. In particular, as an example we assume here a possible fragmentation of the fireball into smaller pieces at the quark/hadron phase transition. Quantitative studies are performed with a Monte Carlo model capable of simulating such a distribution of hadrons. We conclude that the Kolmogorov-Smirnov test is a very powerful tool for the identification of the fragmentation process.

Abstract. This paper examines impacts of increased visitation leading to human trampling of vegetation and soil along several trails in Rocky Mountain National Park (RMNP) to understand how abiotic factors and level of use can influence trail conditions. RMNP is one of the most visited national parks in the USA, with 3.3 million visitors in 2012 across 1075 km 2 and 571 km of hiking trails. 95 % of the park is designated wilderness, making the balance between preservation and visitor use challenging. This research involves the application of trail condition assessments to 56 km of trails to determine prevailing factors and what, if any, connection between them exist. The study looked at a variety of inventory and impact indicators and standards to determine their importance and to develop a baseline condition of trails. The data can be used for future comparison and evaluation of development trends. We found that trail widening (mean trail width 88.9 cm) and soil loss (cross-sectional area 172.7 cm 2 ) are the most visible effects of trail degradation. Further statistical analyses of data identified the role and influence of various factors (e.g., use level and topography). Insights into the influence of these factors can lead to the selection of appropriate management measures to avoid or minimize negative consequences from increased visitation.