The diploma thesis aims to do a research into quality of life of the selected regions in the Czech Republic and so to identify strengths and weaknesses of the individual regions. The research is done by means of DEA method on the basis of chosen criterions. The DEA method determines the effectiveness of individual districts and so it shows the living standard. Moreover, the DEA method also suggests the way how to raise effectiveness in the case of inefficient regions. The thesis also focuses on strengths and weaknesses of production units, which comes out from the assessment itself. For the application of the model, economic and uneconomic indicators such as unemployment, work inability, criminality, air pollution and the apartments' costs were chosen. These indicators represent inputs. In outputs, there are density of the road network and average wages included. All data relates to the year 2010. The assessment itself is carried out via a special software Frontier Analyst.

This dissertation thesis deals with the analysis of the quality of accounting data needed for company management and decision-making processes. The main objective of this thesis is to evaluate accounting data quality according to selected criteria which causally affect this quality. The focus is placed on the proposal of a model suitable for evaluation of accounting data quality for management purposes. The author focused on the issue of the quality of accounting data, the determination of criteria negatively influencing this quality and their impact on company management. Particular criteria were determined for both financial and managerial accounting, as a basic source of information for value management. The next step was to conduct procedures for calculating the weights of the particular criteria and to create evaluation models of accounting data quality. Based on the model of the quality of financial accounting, a multiple regression analysis was applied together with a stepwise analysis in order to determine a relationship between the accounting data quality and selected financial indicators. In the context of management accounting, the work analysed to what extent Czech companies use management accounting and what knowledge company managers possess in this field. After the evaluation of the conducted analyses, an implementation guide of management accounting for small and medium-sized enterprises was created, which is included in the appendix of this thesis.

This thesis is focused on the quality management system. The object of the thesis is to analyse the current situation of the quality management system. Based on the results, we suggest measures to increase security and data protection in the selected enterprise. The selected enterprise is GEFOS, a.s., which provides comprehensive services in geodesy, photogrammetry, geoinformation systems and land register. The thesis can be divided into the theoretical part and the practical part. The theoretical part is focused on definition of key concepts in the fields of quality management and information system. The practical part consists of four other separate parts, namely the characteristic of the selected company, an analysis of the current situation of the quality management system, and finally suggestions for improvement of security and data protection. The suggestions are focused on requirements provided by the General Data Protection Regulation (GDPR). Information for the practical part was obtained by document analysis and a semi-structured interview with the company management.

Title: Voice controlled electronic health record in dentistry Author: MUDr. Radek Hippmann Department: Department of paediatric stomatology, Faculty hospital Motol Supervisor: Prof. MUDr. Taťjana Dostalová, DrSc., MBA Supervisor's e-mail: Tatjana.Dostalova@fnmotol.cz This PhD thesis is concerning with development of the complex electronic health record (EHR) for the field of dentistry. This system is also enhanced with voice control based on the Automatic speech recognition (ASR) system and module for speech synthesis Text-to- speech (TTS). In the first part of the thesis is described the whole issue and are defined particular areas, whose combination is essential for EHR system creation in this field. It is mainly basic delimiting of terms and areas in the dentistry. In the next step we are engaged in temporomandibular joint (TMJ) problematic, which is often ignored and trends in EHR and voice technologies are also described. In the methodological part are described delineated technologies used during the EHR system creation, voice recognition and TMJ disease classification. Following part incorporates results description, which are corresponding with the knowledge base in dentistry and TMJ. From this knowledge base originates the graphic user interface DentCross, which is serving for dental data...

The information in the medical records serve many purposes: they can be used for diagnosis and therapy, medical documentation contains information that can be the basis for financial authorities for treatment or for pumping reimbursement from health insurance. The data can be used in statistics and other scientific purposes. The aim of study is to verify the simplicity of data process implementation and time of data storing for modification of classical paper WHO dental card, lifetime dental EHR controlled by keyboard and lifetime dental EHR controlled by voice. All three methods were applied on 126 patients. At first the patients were inspected by a standard technique (communication between dentist and nurse) and the data recorded into the paper WHO dental card. The same person recorded all data to lifetime dental EHR using keyboard and using voice. Then we compared the time, which was needed for recording the data using these three methods. Using Friedman test we found very significant differences in time of recording among three methods (p<0.001). We can see that the paper WHO dental card was recorded quickly, but its rise due to missing electronic form is difficult. Times for recording data using keyboard or voice in lifetime dental EHR were not significantly different. The clinical practice...

This thesis analyzes the intensity of tourism in Strakonice and a potential for further development. The analysis was performed first, using computer software ArcGIS and through a personal interview visitors Strakonice. Based on the findings of these analytical solutions have been proposed how to increase the attractiveness of the reference region.

The thesis consists of 80 pages, 6 pages of enclosure and a CD with web pages. Thesis focuses on computer support for the practice of physical mechanics. Its purpose is to document each measurement, which are implemented in practice, to propose some new measurement, to clarify the basic principles for data processing and writing protocols and materials found on the internet, which could help students both in preparation and during the actual measurements in practice.

La schizophrénie est une maladie mentale grave qui se caractérise par un spectre hétérogène de manifestations cliniques. L’utilisation des antipsychotiques depuis la fin des années 1940 pour traiter la maladie ne permet au mieux que d’aider à contrôler certains symptômes et n’arrive pas à enrayer son décours. Ceci est particulièrement vrai pour le traitement des symptômes cognitifs (troubles attentionnels, de mémoire, et surtout troubles de la fonction exécutive) qui sont au cœur de la maladie. L’amélioration des performances cognitives des malades par les différents traitements ne peut être considérée comme un succès et il semble que ce soit un rendez-vous manqué tant les besoins thérapeutiques pour traiter ces symptômes sont essentiels dans la schizophrénie. Dans cette thèse nous avons étudié les déficits de la fonction exécutive dans un modèle hyperdopaminergique, les DAT-KO, qui sont des souris invalidées pour le gène du transporteur de la dopamine (DA). [...]. Nous avons dans un premier temps caractérisé notre modèle animal dans l’Attentional Set-Shifting Test (ASST) qui est un équivalent chez le rongeur du Wisconsin Card Sorting Test (WCST), un test permettant de mesurer chez l’Homme les performances de la fonction exécutive. Nous avons démontré que les DAT-KO présentent des performances déficitaires dans l’ASST, conformément à notre hypothèse. En utilisant des antagonistes spécifiques des récepteurs, D1 (le SCH23390) et D2 (le sulpiride) nous avons démontré que le SCH23390 améliorait les performances des souris DAT-KO dans l’ASST contrairement au sulpiride. Ce résultat nous a permis de suggérer que l’hyperdopaminergie, responsable de l’altération de la fonction exécutive des DAT-KO, aurait pour conséquence la sur-activation des récepteurs D1. Nous avons par la suite cherché à voir si l’on peut établir un lien direct entre hyperdopaminergie dans le mPFC qui est reconnu pour être la région traitant le set-shifting et le déficit comportemental. Nous avons modifié la transmission DAergique de deux façons complémentaires, soit par une induction pharmacologique avec un inhibiteur du DAT, le GBR12935, soir par une induction par optogénétique chez les souris DATcre/ChR2 exprimant la Channel Rhodopsin dans les neurones DAergiques. Avec ces deux modèles, nous avons pu montrer que l’action de la DA sur l’altération de la fonction exécutive passait par une sur-activation de la neurotransmission D1 et non D2. Néanmoins, la modulation de l’activité des neurones du PFC par la DA n’est pas uniforme. Elle module les fonctions du PFC en faisant appel à des neurones ayant un rôle spécialisé. Nous avons donc voulu essayer d’établir les mécanismes pouvant être mis en jeu pendant le set-shifting et ainsi essayer d’identifier le substrat neuronal pouvant être impliqué dans la fonction exécutive. A l’aide de deux marqueurs de l’activité neuronale, c-fos et P-ERK, nous avons pu établir que l’activité des neurones du cortex prélimbique (PrL) augmentait pendant une tâche de set-shifting. Nous avons aussi corrélé la modulation par les antipsychotiques du niveau de performance des DAT-KO dans le set-shifting avec le niveau d’activité du PrL et nous avons pu identifier le profil d’activation des deux principales populations neuronales du PFC, les neurones pyramidaux glutamatergiques et les interneurones GABAergiques. Nous avons pu relier ce profil d’activation avec la modulation comportementale des DAT-KO par les antipsychotiques mais aussi par d’autres ligands pharmacologiques actuellement à l’étude comme complément ou traitement alternatif aux antipsychotiques, le LY3979268, un agoniste mGluR2/3 et le CDPPB, un potentiateur mGluR5. L’ensemble de ces résultats nous a permis de mieux comprendre les effets de l’hyperdopaminergie sur le set-shifting mais aussi de pouvoir commencer à identifier le support neuronal de la modulation dopaminergique de la fonction exécutive. / Schizophrenia is a severe mental illness with a large spectrum of clinical manifestations. Since the introduction of antipsychotic medications in the 40’s, only modest progress has been made in the treatment of the disease. Currently used antipsychotics have only partial efficacy, controlling positive symptoms but usually failing to stop the mental decline of the patient. This lack of full-blown efficacy is particularly evident in the treatment of executive function deficits, which are now considered as core symptoms of schizophrenia. Increased dopamine (DA) neurotransmission is considered as a core neurochemical alteration in schizophrenia and all prescribed antipsychotics are dopamine-D2 receptor antagonists. In addition, major cognitive functions that are disarrayed in schizophrenia depend on proper DA regulation. However, there are no studies investigating the link between increased DA-ergic tone and executive function. The present thesis focuses on executive function deficits in a hyperdopaminergic mouse model, the genetically engineered mouse that lacks the dopamine transporter (DAT; DATKO mouse). First, we characterized our animal model in the Attentional Set-Shifting Test (ASST), which is a rodent adaptation of the Wisconsin Card Sorting Test, a test used to evaluate executive function in humans. DATKO mice had impaired performances in the ASST, confirming our working hypothesis. Systemic administration of the selective D1 antagonist SCH23390 ameliorated the performance of the DATKO in the ASST. In contrast, the D2 antagonist sulpiride had no effect, suggesting that the overactivation of D1 (but not D2) receptors might be involved in hyperdopaminergia-induced ASST deficits. To further investigate a possible causal link between elevated DA and ASST deficits we have induced a hyperdopaminergic state selectively in the prefrontal cortex (PFC), the region involved in executive function. This was done (i) pharmacologically, with local microinfusions of the DAT inhibitor GBR12935; (ii) optogenetically, by generating and utilising a novel transgenic tool the DATcre/ChR2 mice which express Channel-Rhodopsin selectively in DA-ergic neurons. In both constructs, PFC hyperdopaminergia resulted in ASST deficits. These, were reversed with SCH23390 but not with sulpiride, clearly establishing a role for D1 receptors in the deleterious effects of PFC hyperdopaminergia on executive function. It has been postulated that dopamine modulates PFC synaptic plasticity and associated cognitive functions through two distinct but interconnected neuronal populations: glutamatergic (Glu-) pyramidal neurons and GABA- interneurons. Immunocytochemistry experiments combining neuronal activation markers (p-ERK; c-fos) and selective labelling of Glu- versus GABA- neurons allowed to parse the role of these two populations in the ASST. A balaced Glu- versus GABA- activation was necessary for a succesful ASST performance. A dysregulated pattern of Glu- versus GABA- activation correlated with ASST deficits, leading us to speculate a putative link between cortical hyperdopaminergia and cortical Gluhypoactivation. Interestingly, glutamatergic ligands such as the mGluR2/3 agonist LY3979268 and the mGluR5 potentiator CDPPB (which are under current investigation in schizophrenia) corrected both the behavioral deficits and the altered neuronal activation pattern of hyperdopaminergic mice in the ASST. Overall, this work: (i) demonstrates for the first time a causal link between PFC hyperdopaminergia and executive deficits; (ii) proposes and validates a new model to study the cellular, molecular and synaptic mechanisms underlying executive dysfunction; (iii) suggests D1 receptor antagonism, in adjunct with current antipsychotic medications, as a novel therapeutic strategy to treat cognitive dysfunction in schizophrenia.

Creation of web wrappers (i.e programs that extract data from the web) is a subject of study in the field of web data extraction. Designing a domain-specific language for a web wrapper is a challenging task, because it introduces trade-offs between expressiveness of a wrapper's language and safety. In addition, little attention has been paid to execution of a wrapper in restricted environment. In this thesis, we present a new wrapping language -- Serrano -- that has three goals in mind. (1) Ability to run in restricted environment, such as a browser extension, (2) extensibility, to balance the tradeoffs between expressiveness of a command set and safety, and (3) processing capabilities, to eliminate the need for additional programs to clean the extracted data. Serrano has been successfully deployed in a number of projects and provided encouraging results. Powered by TCPDF (www.tcpdf.org)

In this work, we propose a novel method for a supervised dimensionality reduc- tion, which learns weights of a neural network using an evolutionary algorithm, CMA-ES, optimising the success rate of the k-NN classifier. If no activation func- tions are used in the neural network, the algorithm essentially performs a linear transformation, which can also be used inside of the Mahalanobis distance. There- fore our method can be considered to be a metric learning algorithm. By adding activations to the neural network, the algorithm can learn non-linear transfor- mations as well. We consider reductions to low-dimensional spaces, which are useful for data visualisation, and demonstrate that the resulting projections pro- vide better performance than other dimensionality reduction techniques and also that the visualisations provide better distinctions between the classes in the data thanks to the locality of the k-NN classifier. 1