Since the time RNA has been discovered by the nature scientist Miescher the structure and function of it has been forgotten for a long time. The prime role in science had always DNA. An increase of interest in RNA came with the discovery of the tRNA structure and its catalytic and enzymatic properties. These discoveries led to a great development wave of bioinformatics and structure and function analysis of RNA.

Spatial interactions considerably influence complex geographic organisation and the shaping of settlement structures, explaining and describing the importance of interrelationships in the landscape sphere on all scale levels. This is why they are called one of the crucial general terms of geography. When it comes to this topic, the biggest emphasis on it is primarily laid in the study of transport as well as transport networks that we can consider the main support for interactions. The topic of evaluation of spatial interactions or, if defined narrowly, of transport relationships, is characteristic due to its important interdisciplinary nature because the questions of interrelatedness of individual centres and their needs in the context of transport offer are dealt with by transport engineering fields, economic fields, land-use planning specialists, etc. Similarly to other spheres of social and economic geography, where this occurred earlier, present-day geography of transport is undergoing a change in the form of a variety of methodological approaches, "internal" specification of a more detailed delineation of the subject of study and new application challenges. As a rule, the topic of intensity and nature of transport relationships is associated with quantitative methods of cognition of the...

During the process of aging, the human mental and physical abilities decline. Olfactory abilities are not an exception. A significant decrease of olfactory capabilities in patients with Parkinson's disease was firstly observed a few decades ago. After the discovery of the relationship between olfactory abilities and cognitive abilities in patients with neurodegenerative disease, the same relationship was also found in healthy aging people. It seems that the factors causing the decline of cognition foremost affect the olfactory functions. A number of studies suggests, that this could lead to a possibility of prediction of the future cognitive decline through the assessment of olfactory decline. Our research followed the results of these studies as a part of the NANOK study. Testing of the smell abilities was done in 2014 and 2015. Participants were screened with the Sniffin 'Sticks. Cognitive functions were tested with an extensive battery of cognitive tests. The processiong of data was divided into two parts. In the first part we tested the olfactory identification and discrimination relationship with the general cognitive abilities and the level of the executive functions. In the second part we tested the possibility of prediction of cognitive functions using the smell identification and discrimination...

The reason of this work are operating systems, their significance, history, analysis of the current situation and attempt to predict the future. The first part introduces the basic concepts, the definition of operating system and brief history. The second part deals with the current situation on the market for operating systems, the main drivers of this sector and the business models used. The last part deals with the prediction of the situation on the market for operating systems, their future evolution, the probable evolution of their business model and estimate the near future from the business point of view. It were also made study of available new scientific publications about OS. Contribution of this thesis evaluate role and future operating systems and prediction business perspective in the industry branch.

The objective of this thesis is to find patterns trends and assumptions for mortality vs. age prediction. Based on the analysis of trends in the already extinct cohorts, the most suitable models for estimating the future development of mortality among surviving cohorts are selected. This thesis compares real data extinct cohorts with balanced data Gompertz-Makehamovy function. The research and analysis is focused on the specifics of cohort mortality from the age of 90. The last part of this thesis illustrates comparison between real data of extinct cohorts with DeRaS model outputs. The selection of Kannisto and Thatcher as the optimal model is presented in the form of graphical outputs indicating the cohort life expectancy of men and women aged 90 years.

The aim of this study is to evaluate feasibility of using Bayes classifiers for predicting corporate bankruptcies. The results obtain show that Bayes classifiers do reach comparable results to then more commonly used methods such the logistic regression and the decision trees. The comparison has been carried out based on Czech and Polish data sets. The overall accuracy rate of these so called naive Bayes classifiers, using entropic discretization along with the hybrid pre-selection of the explanatory attributes, reaches 77.19 % for the Czech dataset and 79.76 % for the Polish set respectively. The AUC values for these data sets are 0.81 and 0.87. The results obtained for the Polish data set have been compared to the already published articles by Tsai (2009) and Wang et al. (2014) who applied different classification algorithms. The method proposed in my study, when compared to the above earlier works, comes out as quite successful. The thesis also includes comparing various approaches as regards the discretisation of numerical attributes and selecting the relevant explanatory attributes. These are the key issues for increasing performance of the naive Bayes classifiers

The master´s thesis evaluates the economic situation of the company SCHWARTZ TECHNICKÉ PLASTY ČR s. r. o. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. In the practical part is an analysis of selected indicators of financial analysis, then statistical methods are used to predict future developments for the coming two years and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation, which are based on calculations from the practical part.

This master‘s thesis evaluates the financial situation of the company using selected indicators of financial analysis using time series analysis and regression analysis. Theses is separated into two parts. The theoretical part focuses on the issue of economic indicators, financial analysis, interpretation and on time series. The practical part deals with analysis of economic indicators, which will then be subjected to statistical analysis, which tries using statistical methods to analyse the trend of individual indicators and on the basis of values from previous periods to predict future developments.

This master’s thesis is focused on problematic within the prediction of bankruptcy of companies operating in the field of agriculture in Czech republic. First part consists of introduction to companies that do business in field of agriculture and it describes bankruptcy models that are used in academicals sphere. Other part of thesis is divided into two sub-parts. First part is dedicated to an application of data into models of bankruptcy and their evaluation. Second part is focused on improvement of the best model and its main goal is to maximize the precision of the bankruptcy.

The capability to be able to determine the future progression on the worlds stock exchange is an important issue, which has become discernible in the last decades. An important role of this progression lies within the fast advancements in computerized technology. Aforementioned document describes a mechanism used for prediction of the future price of a certain stock. The strategy of trading is build upon this mechanism, and the core of this prediction system is an artificial neural network. Inputs used in this network are indicators derived from technical analysis. This trading system was implemented into historical trades and successfully tested.