The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.

Anorexia nervosa (AN) is a mental illnes manifesting itselg, among other signs, with impaired body schema and rejection of food. Principal focus of the thesis was to assess the discrimination treshold, ability to evaluate sensory perception and body self-concept in adolescent female patients hospitalised with anorexia nervosa. Our goal was to clarify and better understand the still not adequately described neurophysiological aspects of anorexia nervosa. The results were compared to control group; both groups comprised 18 girls, the average age of observed group being 14,7 ± 0,71 years and average age of control group being 15,3 ±0,71 years. Two-point discrimination was examined in three areas - arm, between shoulder blades and belly - with modified caliper. The Petrie test was used in sensory perception testing, while body self-concept was measured with BAT questionare. The examinations were performed in standardised conditions during similar day times. We found significant difference in two-point discrimination in the area between the shoulder blades with significance level α = 5 % and p-value p = 0,0001. A statistically significant difference was also observed in body self-concept with significance level α = 5 % and p-value p = 0,017. Thus we conclude that patients suffering from anorexia nervosa...

Thesis is focused on the use of value analysis in the financing of engineering structures in municipality. The work is divided into two parts. The first is focused on explaining the basic concepts of public contracts and value analysis and describes the methods of value analysis.The second part focuses on finding the best tender submitted for the tender of public contract.

This thesis focuses on various factors affecting effectiveness of aposematic signals against avian predators. Adult, wild-caught as well as hand-reared juvenile great tits (Parus major) were used as predators in the experiments. The thesis consists of the following four studies. In the first study, we compared the reactions of great tits from two geographically distant populations toward aposematic firebugs (Pyrrhocoris apterus) and their non-aposematic artificially made colour variant. The birds from the Bohemian population mostly avoided aposematic firebugs and attacked non-aposematic variant. Finnish birds, which lacked experience with firebugs from their natural environment, were less hesitant to attack both firebug colour forms. Although the Bohemian birds avoided the aposematic prey variant, they were not more neophobic than Finnish birds. We conclude that the geographic differences in reactions of the birds to aposematic prey can be explained by a different population-specific experience of the birds with local aposematic prey communities. In the second study, we compared effectiveness of two chemical defence strategies in leaf beetle larvae (Chrysomela lapponica) against great tits. The birds avoided larvae devoid of external secretions after the first attack, which indicates the presence...

The aim of the thesis is to define the dependency of the classification of patients affected by neurodegenerative diseases on the choice of the parcellation atlas. Part of this thesis is the application of the functional connectivity analysis and the calculation of graph metrics according to the method published by Olaf Sporns and Mikail Rubinov [1] on fMRI data measured at CEITEC MU. The application is preceded by the theoretical research of parcellation atlases for brain segmentation from fMRI frames and the research of mathematical methods for classification as well as classifiers of neurodegenerative diseases. The first chapters of the thesis brings a theoretical basis of knowledge from the field of magnetic and functional magnetic resonance imaging. The physical principles of the method, the conditions and the course of acquisition of image data are defined. The third chapter summarizes the graph metrics used in the diploma thesis for analyzing and classifying graphs. The paper presents a brief overview of the brain segmentation methods, with the focuse on the atlas-based segmentation. After a theoretical research of functional connectivity methods and mathematical classification methods, the findings were used for segmentation, calculation of graph metrics and for classification of fMRI images obtained from 96 subjects into the one of two classes using Binary classifications by support vector machines and linear discriminatory analysis. The data classified in this study was measured on patiens with Parkinson’s disease (PD), Alzheimer’s disease (AD), Mild cognitive impairment (MCI), a combination of PD and MCI and subjects belonging to the control group of healthy individuals. For pre-processing and analysis, the MATLAB environment, the SPM12 toolbox and The Brain Connectivity Toolbox were used.

Cílem mé diplomové práce bylo navrhnout metodu analýzy retinálních sekvencí, která bude hodnotit kvalitu jednotlivých snímků. V teoretické části se také zabývám vlastnostmi retinálních sekvencí a způsobem registrace snímků z fundus kamery. V praktické části je implementována metoda hodnocení kvality snímků, která je otestována na reálných retinálních sekvencích a vyhodnocena její úspěšnost. Práce hodnotí i vliv této metody na registraci retinálních snímků.

This document is trying to introduce the reader with issues of identifying the face connected with miscellaneous scanning technologies and enviroments. Inside this document there are mentioned some possibilities of creation unique print of a face so that there would be denied unwanted effects of enviroment and the identification of persons would be possible.

As all genres of popular music, classical music consists of many different subgenres. The aim of this work is to recognize those subgenres from orchestral recordings. It is focused on the time period from the very end of 16th century to the beginning of 20th century, which means that Baroque era, Classical era and Romantic era are researched. The Music Information Retrieval (MIR) method was used to classify chosen subgenres. In the first phase of MIR method, parameters were extracted from musical recordings and were evaluated. Only the best parameters were used as input data for machine learning classifiers, to be specific: kNN (K-Nearest Neighbor), LDA (Linear Discriminant Analysis), GMM (Gaussian Mixture Models) and SVM (Support Vector Machines). In the final chapter, all the best results are summarized. According to the results, there is significant difference between the Baroque era and the other researched eras. This significant difference led to better identification of the Baroque era recordings. On the contrary, Classical era ended up to be relatively similar to Romantic era and therefore all classifiers had less success in identification of recordings from this era. The results are in line with music theory and characteristics of chosen musical eras.

The aim of this master’s thesis is to find the best type of mortgage loan for several kinds of borrowers. The first part describes personal housing financing, use of loans, use of mortgages in general. At the end of this theoretical part the value analysis is explained as a tool for mortgage lender (or the type of mortgage loan) selection and the way of reaching this goal is defined. Second part is a practical example of how to make decision and find the best choice. It selects the most important criteria and real cash flow is simulated to asset the price of each possibility. Using the discrimination method and efficiency rate the possibilities are ranked. Results are commented on and recommendations are set to every type of client. In conclusion, general method for selection before getting a mortgage is proposed.