|
Izotopicky značené peptidy poskytující rozlišená strukturní data pomocí infračervených specter. Strukturní limity optické spektroskopie
Keiderling, T. A. ; Huang, R. ; Kubelka, J. ; Bouř, Petr ; Setnička, V. ; Hammer, R. P. ; Etienne, M. A. ; Silva, R. A. G. D. ; Decatur, S. M.
Isotopic labeling, here exemplified by 13C substitution on the amide C=O group, can allow site-specific determination of peptide conformation with IR. Examples of helix and sheet (beta-hairpin) structures are reviewed.
|
|
Practical Use of Data Mining Technologies
Uhlíř, Radek ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This bachelor's thesis maps available technologies of extracting knowledge from the raw data. These methods are globally known as Data Mining. Some of these methods are implemented in the second part - proof of concept of Data mining support in sales department. The aim of this work is to identify and implement suitable technologies for answering analytical questions and getting knowledge from data owned by business companies. It should help to improve and optimize business processes and resource utilization. Customer segmentation support and association rules identification are also expected. In the second part are identified possible weaknesses and problems during the process of implementation and deployment of these systems. The work should propose optimal methods of solving these problems or at least modifications in process of implementation to eliminate some vulnerability. The work is divided into two parts -- first is theoretical and maps available methods and second part is about implementation of project in pharmaceutical company. This solution was built using Microsoft SQL Server platform.
|
|
Motion Capture of Human Figure in 3D Space
Lupínek, Dalibor ; Krupa, Kamil (referee) ; Drahanský, Martin (advisor)
This paper deals with techniques for acquiring data for character animation driven from video. Among other, it also presents several Motion Capture systems and animation data formats BVH and CSM. It also contains an example application demonstrating attained accomplishments. These are reviewed and there is instituted a course of future proceeding.
|
|
Interaction between nurses and volunteers at hospital
LHOTSKÁ, Martina
Volunteering has not started to develop in the Czech Republic until 1989. It has reached also hospitals where volunteers come to see hospitalized patients to cheer them up and to assist at the daily routine. The main role of medical staff is to meet all patients´ needs {--} biological, emotional, social and spiritual ones. It is volunteers who help a lot in fulfilling this duty. The thesis is focused on the cooperation between staff nurses and volunteers in hospital.The theoretical part of the thesis deals with the history of volunteering, all the steps of the procedures leading to competence of treating patients. In the practical part the quantitative research is used. The first objective was to examine attitudes of staff nurses towards volunteers, i. e.if staff nurses consider volunteers´assistance to be of great benefit to patients. The second objective was to learn how volunteers assess staff nurses´ attitudes to their activities in hospital. To gather data questionnaires for staff nurses as well as volunteers were made up. The research was conducted in January and February 2008 in six nursing units in four hospitals in the regions of South Bohemia and Vysocina. According to the results of the research staff nurses largely appreciate volunteers´ assistance. Despite of that fact there were several averse responses on the part of staff nurses that may be the result of lack of information available. According to the feeling of volunteers themselves their concern in nursing is highly appreciated by most staff nurses. Of course, there is a lot to improve to achieve general satisfaction in this area. The research also includes an interview with a contact person between the two groups involved in the care for patients. The contact person´s view of the cooperation between staff nurses and volunteers is favourable. But there are still some difficulties in introducing the volunteer program into hospitals. The contact person is competent to give advice how to prevent possible misunderstandings between the medical staff and volunteers and mainly how not to discourage devoted volunteers from their service. The results of my research were requested by hospitals in Pelhrimov and Jihlava. They may be also provided to any health care facility interested in introducing the program called Volunteers in hospital into practice. This may help them to get valuable information from health care facilities experienced in volunteering.
|
|
Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
|
|
Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.
|
|
Ion attachment and ion emission of dust grains
Vyšinka, Marek ; Němeček, Zdeněk (advisor) ; Wild, Jan (referee)
Small dust grains could be found in many environments. Because of their size, their charge and the electric forces acting on them play an important role in their dynamics. The dust grain charge is influenced by many different processes. Among other methods, charging processes can be studied by trapping a single dust grain inside an electrodynamic quadrupole where it is put into specific environment (ion or electron beam, UV radiation). The progress of the charging process can be inferred from the changes in the grain charge. Our work contributed to the building of a new laboratory set-up for study of the charging processes. Specifically, a new Faraday cup for measurements and stabilization of the ion and electron gun currents is designed and its function verified. It solves the shortcomings of the previously used Faraday cups. Further, an amplifier for the ion gun current measurement is designed and constructed along with the design of digital stabilization of the current. The stabilization is neccesary for the interpretation of measurement results and its digitalization will allow more flexible adjustment and easier connection with the control computer. Finally, data acquired during the charging of dust grain with different ion species are evaluated in order to study the effect of different ions on surface...
|
|
Data Mining for Effective Customer Communication
Madhi, Simona ; Šperková, Lucie (advisor) ; Novotný, Ota (referee)
The aim of this paper is to describe and illustrate benefits of using Data Mining for effective customer communication. The objective is to perform a Data Mining analysis in order to achieve results with potentially beneficial influence on the company s relationship with its customers, while using the KNIME Analytics Platform tool. The paper introduces the theoretical aspect of Customer Relationship Management, Data Mining and the opportunities of using Data Mining to improve CRM; followed by a market analysis of available Data Mining tools and the introduction of the KNIME Analysis Platform. Furthermore, the knowledge thus reached is used for the performance of real data analysis with the aim of reaching customer knowledge that would be appropriate to use within CRM strategy and finally to positively influence the value of customer relationships.
|
|
Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.
|
|
The impact of South China Sea dispute on trade relations between China and Vietnam
Nguyen Hong, Viet ; Vlčková, Jana (advisor) ; Hasík, Gabriel (referee)
This bachelor thesis investigates the impact of South China Sea dispute on mutual relations between China and Socialist Republic of Vietnam. Thesis lays great emphasis on the analysis of mutual trading relations. The goal of this work is to find out if the dispute over territory has negative influence on mutual relations and to what extent. Therefore, thesis is divided into 3 main chapters. The introductory chapter describes position and development of each country. Second chapter uses findings from the introductory part for the analysis of political and trade relations of both countries. It focuses on the history of mutual relations and mainly it lays emphasis on current mutual relations. Last chapter of the thesis is dedicated to the issues regarding South China Sea. Motives and causes of this dispute are described in this chapter. It provides a view on the course of this territorial dispute, and also impacts on mutual relations are analyzed. The output of all three chapters helps to formulate following conclusion. Dispute over South China Sea has impact on mutual relations. Predominantly, it influences political relations between China and Vietnam, therefore, this dispute is often mentioned in media. However, according to available data this dispute has not had major effect on trading relations. Mutual trading between both countries went off in dispute period without any limitations and barriers.
|
guest ::
