The thesis deals with the application of NIC, NOC classifications in cases of patients with chest drainage. Nurses use nursing classification, nursing process and nursing documentation for their work to make the patient care more effective. Several objectives were set to meet the main target of the thesis. Firstly, to map nursing care specifics of patients with chest drainage; secondly, to map nurses' knowledge of chest drainage care; thirdly, to map nurses' satisfaction with nursing documentation; fourthly, to find out which NIC activities are usually used by nurses in the care of patients with chest drainage; fifthly, to find out which NOC indicators are usually judged by nurses in the care of patients with chest drainage; sixthly, to find out the benefits of NIC, NOC classification in the care of patients with chest drainage. For the practical part of the thesis, the combination of qualitative and quantitative research was chosen. The quantitative research was conducted by a survey. The studied group consisted of 152 nurses. For the quantitative research, we set up the following hypothesis. H1 - the care of patients with chest drainage depands on particular department. H2 - nurses' knowledge of chest drainage care depands on particular department. H3 - nurses' satisfaction with nursing documentation depends on their education. The qualitative reserch was hold in two phases. In the first phase, a nursing documentation was created on the basis of NIC and NOC classification related to care of chest tubes. In the second phase of the qualitative research, we used a semi-structured interview to interview ten nurse who had worked with the particular nursing documentation and who had met the criteria for the selection of experts acording to Fehring . Several research questions were set for the qualitative research. What do the nurses think about the particular nursing documentation?

The Thesis is focusing on the transformation of the approach towards the evaluation of the pupils at the primary school level. Some partial observations can be achieved by this theses mainly in connection to the changing approaches of the teachers of the primary level towards them in connection to the requirenments or the evaluation of the pupils in accordance with RVP ZV. With the help of the specialized literature I described the types and forms of the evaluation and classification used on the primary school level as well as the criteria and rules for the evaluation of pupils in the theorethical part of the thesis. In the inquiry part of the thesis I compared approaches of the teachers towards evaluation and classification used on the primary school level in relation to the introduction of the specific class work realized according to the SVP itself.

My Diploma Thesis deals with the teaching English language to mentally handicapped people. The theoretical part describes the main aims of the Vivace project and it introduces the Centre for Mentally Handicapped People Empatie. I deal with the description of the term mental disability, degrees of mental disability, psychical abnormalities in behaviour of mentally handicapped people and causes of mental disability. Other chapters deal with teaching methods and principles which are suitable for teaching to mentally handicapped people. The last chapter deals with the problem of integration. The practical part describes English lessons in detail and it evaluates their process. The aim is to describe teaching methods and principles which are suitable for teaching mentally handicapped people.

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This thesis describes searching for high-risk clusters of portals in the Ingress game by using data mining techniques. The work contains background for descibed problematics and methods and experiments used to search for theese information.

In our master thesis, we compare ten classification algorithms for credit scor- ing. Their prediction performances are measured by six different classification performance measurements. We use a unique P2P lending data set with more than 200,000 records and 23 variables for our classifiers comparison. This data set comes from Lending Club, the biggest P2P lending platform in the United States. Logistic regression, Artificial neural network, and Linear discriminant analysis are the best three classifiers according to our results. Random forest ranks as the fifth best classifier. On the other hand, Classification and regression tree and k-Nearest neighbors are ranked as the worse classifiers in our ranking. 1

This thesis is focused on sentiment analysis of unstructured text and its practical application on the real data downloaded from website Yelp.com The objectives of the theoretical part of this thesis is to sum up the information related to history, methods and possible applications of sentiment analysis. A reader is acquainted with important terms and processes of sentiment analysis. Theoretical part is focused on Naive Bayes classifier, that will be used in practical part of this thesis. In practical part there is detailed description of data set, construction and testing of model. At the end there are presented pros and cons of the chosen model and described some possibilities of its usage.

The thesis deals with trends of drug consumption for the ATC group C10A (HMG-CoA reductase) in the Czech Republic in the years 2005 - 2015. The goal of this work is to analyse the consumption of statins (cholesterol lowering drugs), as well as to analyse the consumption trends (expressed in terms of prescribed daily doses) and subsequently explain the causes of the detected trends. The main method used in this work is the analysis and interpretation of data provided by the State Institute for Drug Control (SUKL). Individual consumption data sets are compared to each other and global trends are inferred based on the obtained results. In the practical part I analyse the consumption for the individual ATC groups according to their increasing lipid-lowering efficacy, according to the pharmaceutical companies involved and according to the experts' recommendations (within the framework of cardiovascular disease treatment). The conclusion of my work shows that the overall drug consumption for the the studied ATC group (given by the DDD/package total) was steadily increasing during the studied period while the consumption expressed in financial units was decreasing (ie. the financial burden on the health system was reduced). The total number of sold packages shows a slight decrease due to the sale of bigger packages with more powerful statins during the studied period.

Obsahem diplomové práce je analýza tří hypotéz týkajících se nepřímých daní v zemích OECD a následné ověření, zda testované hypotézy platí či ne. Práce je členěna do tří kapitol. První kapitola tvoří teoretický základ pro další analýzu. Zabývá se nepřímými daněmi a státy OECD. Druhá kapitola je nosnou částí celé práce. Jsou zde analyzována jednotlivá kritéria z pohledu všech tří hypotéz. Závěrečná třetí kapitola syntetizuje dílčí výsledky z druhé kapitoly a na základě této syntézy potvrzuje resp. vyvrací testované hypotézy. Jednotlivé hypotézy zkoumají obecné trendy v nepřímých daních, porovnání významu nepřímých daní v chudých a bohatých státech a míru homogenity jednotlivých geografických regionů v oblasti nepřímých daních.

Cílem práce je zmapovat dosud nepříliš probádanou oblast neziskových organizací a její podskupiny neziskových institucí sloužících domácnostem (NISD). Jde tedy především o analýzu dat ze satelitního účtu neziskových institucí, ale také nástin problémů, které jsou spojeny s jeho zaváděním. Satelitní účet zobrazuje data za neziskové organizace ze všech sektorů národního hospodářství. Práce je rozdělena do tří částí. První část se zabývá vymezením pojmů neziskové organizace a NISD, dále jsou uvedeny jejich klasifikace a způsoby statistického zjišťování. V druhé části jsou nejprve analyzovány výsledky sektoru NISD, poté také výsledky satelitního účtu neziskových institucí. Ve třetí části bylo provedeno mezinárodní srovnání výsledků neziskových organizací s Belgií, Finskem a Slovenskem. Na závěr jsou pro doplnění uvedeny ještě ukazatele za neziskové organizace z dalších i mimoevropských států.