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The impact of selected prenylflavonoids on the effect of anticancer therapy in cancer cell lines
Pešková, Klára ; Matoušková, Petra (advisor) ; Skálová, Lenka (referee)
Charles University Faculty of Pharmacy in Hradec Králové Department of Biochemical Sciences Candidate: Klára Pešková Supervisor: Ing. Petra Matoušková, Ph.D. Title of diploma thesis: The impact of selected prenylflavonoids on the effect of anticancer therapy in cancer cell lines Prenylflavonoids 6-prenylnaringenin and 8-prenylnaringenin and flavonoid naringenin are substances with anti-proliferative properties. Prenylflavonoids are present mostly in hop and in beer. Main source of naringenin are primarily citrus fruits. In this diploma thesis the effect of compounds was tested by neutral red uptake test in cell lines SW480 and SW620. These substances were tested individually and then in combination with cytostatic agent oxaliplatin. Oxaliplatin is used in treatment of cancer disease. 6-prenylnaringenin was the most effective compound in both cell lines. Statistical evaluation of the effect was carried out by Graphpad using the method One-way ANOVA in comparison with control. Combination index was determined by software program Compusyn using the method by Chou-Talalay.
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Zim-wiki Plugin for Smooth Transition between Pages and Headings Structure
Pacovský, Jan ; Lessner, Daniel (advisor) ; Pešková, Klára (referee)
The Multiplatform text editor Zim enables the user to preserve and sort notes, to join and organize texts, and manage a collections of text files. The goal of this thesis was to develop a plugin that would comfortably enable the splitting and merging of pages in Zim without the user losing track of his texts and their organizational structure. While solving the problem it appeared inevitable to modify the main rogram. New functionality was implemented that allows the transfer of the page content into a page subtree. Links were successfully maintained and the discrepancy in the number of header levels and pages in the subtree was resolved. These modifications result in more effective, more transparent, and more systematic work with texts using the tree structure of the pages. Powered by TCPDF (www.tcpdf.org)
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Neural Network Library and Editor
Rouček, Martin ; Ježek, Pavel (advisor) ; Pešková, Klára (referee)
Neural network models are more often used in desktop applications given the increasing speed of computers. A very widespread platform for writing desktop applicatons is .NET Framework. Nevertheless, there is no neural networks library for the .NET Framework platform with a simple API and the possibility to work with library objects in a graphical interface. The author decided to create such a library. The main part of the thesis is a neural networks library GNNL that is initially limited to implementing two frequently used neural networks models which are a multilayer perceptron and self- organizing map together with learning algorithms of backpropagation and competitive learning. Graphical support of the library GNNL consists of a library GNNLV and neural network editor. The Library GNNLV contains the controls that allow working with GNNL library objects and a programmer can use them in his or hers application. The Neural network editor enables the programmer to create a neural network in a graphical interface, train it, analyze it, save it, and later use it in different applications. Text of the thesis focuses on analyzing and describing the implementation of the library with its graphical support. A major component of the text is a summary of neural networks theory for laics or programmers using library...
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Episodická pamäť virtuálnych agentov: Klamné spomienky
Čermák, Michal ; Brom, Cyril (advisor) ; Pešková, Klára (referee)
The goal of this work is to design a model of episodic memory for virtual agents capable of creating false memories and implement its prototype. The model architecture is inspired by present day knowledge about human episodic memory. Core structures in our model are the chronobags storing details of experienced episodes, and the schemabag storing the general scripts for all experienced events. The episodes are stored in the form of AND-OR trees and it is possible to derive missing details from the stored scripts during recall. We followed the work of Burkert and implemented a prototype of designed memory model in Java using the Pogamut 3 Framework. The model is parameterizable and it is evaluated in several experiments. In these experiments we looked on the trends in correct and incorrect recalls over time and we simulated the experiment demonstrating existence of room schemata. We compared the results produced by our model with the data from psychological researches and we showed that our model can produce false memories similar to false memories recollected by humans.
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Convolutional neural networks and their application in object detection
Hrinčár, Matej ; Mrázová, Iveta (advisor) ; Pešková, Klára (referee)
1 Title: Convolutional neural networks and their application in object detection Author: Matej Hrinčár Department: Department of Theoretical Computer Science and Mathematical Logic Supervisor: doc. RNDr. Iveta Mrázová, CSc. Supervisor's e-mail address: Iveta.Mrazova@mff.cuni.cz Abstract: Nowadays, it has become popular to enhance live sport streams with an augmented reality like adding various statistics over the hockey players. To do so, players must be automatically detected first. This thesis deals with such a challenging task. Our aim is to deliver not only a sufficient accuracy but also a speed because we should be able to make the detection in real time. We use one of the newer model of neural network which is a convolutional network. This model is suitable for proces- sing image data a can use input image without any preprocessing whatsoever. After our detailed analysis we choose this model as a detector for hockey players. We have tested several different architectures of the networks which we then compared and choose the one which is not only accurate but also fast enough. We have also tested the robustness of the network with noisy patterns. Finally we assigned detected pla- yers to their corresponding teams utilizing K-mean algorithm using the information about their jersey color. Keywords:...
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Advanced use of ACT-R in Pogamut
Zemčák, Lukáš ; Kadlec, Rudolf (advisor) ; Pešková, Klára (referee)
The requirements for virtual agents are more and more demanding. In order to manage the complex behavior of the agent, it's possible to take advantage of cognitive architectures which arised on the field neuroscience and artificial intelligence. This work examines PoJACTR library which links Pogamut library for developing intelligent agents in Unreal Tournament 2004 and jACT-R library which is Java implementation of one of the leading cognitive architectures ACTR. This work also studies certain agent implementation problems in PoJACTR and proposes a solution for them in form of debugging tools, which were subsequently implemented on an Eclipse IDE platform. In addition, it expands PoJACTR navigation and communication library modules for the game - Capture The Flag. As a validation, two agents (bots) were developed to play game, one in standard Pogamut and one in PoJACTR. When matched against each other in battle, PoJACTR bot had comparable performance to a Pogamut bot. The results showed that debugging tools facilitated development process of PoJACTR agents. Powered by TCPDF (www.tcpdf.org)
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Items and actions in 3D virtual environment Emohawkville
Holaň, David ; Gemrot, Jakub (advisor) ; Pešková, Klára (referee)
Development of intelligent virtual agents is a complex task. One of the im- portant sub-tasks is creation of behaviors. It is highly desirable to test behaviors of intelligent virtual agents in an actual virtual world, not in a simplified sub- stitute. Over the past several years the Pogamut platform has been developed, which allows intelligent virtual agent behaviors to be tested in several gaming worlds, but none combines complexity, dynamicity and extensibility. It was de- cided to fill the gap by creating the EmohawkVille virtual world. EmohawkVille is a first-person virtual world in a day-to-day life setting. The purpose of this thesis is to explain why is EmohawkVille needed and to document features, de- sign and development of EmohawkVille and its Pogamut module. The thesis also presents results of a case study that confirms the EmohawkVille's suitability for experiments concerning intelligent virtual agent behaviors.
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Multiple sequence alignment using genetic algorithms
Pátek, Zdeněk ; Mráz, František (advisor) ; Pešková, Klára (referee)
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Department of Software and Computer Science Education Supervisor: RNDr. František Mráz, CSc. Abstract: The thesis adresses the problem of multiple sequence alignment (MSA). It contains the specication of the proposed method MSAMS that allows to find motifs in biological sequences, to split sequences to blocks using the motifs, to solve MSA on the blocks and nally to assemble the global alignment from the aligned blocks and motifs. Motif search and MSA are both solved using genetic algorithms. The thesis describes the implementation of the method, conguration of its settings, benchmarking on the BAliBASE database and comparison to the ClustalW program. Experimental results showed that MSAMS can discover better alignments than ClustalW. Keywords: multiple sequence alignment, motif nding, genetic algorithms, ClustalW
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Ontologický popis inteligentních agentů
Pešková, Klára ; Neruda, Roman (advisor) ; Holan, Tomáš (referee)
In this thesis we present the Pikater multi-agent system, which is designed to provide the researchers an environment for testing various data mining methods, that are the part of the system, as well as let them experiment with their own data mining methods. The system is also capable of recommending a data mining method for the never-before-seen datasets. The algorithm of choosing the best possible method is based on finding the similarities in the datasets and on the system's previous experience with solving similar tasks. Finding the nearest dataset is based on the proposed metric on metadata - the general information about the datasets. To implement our system, we used the JADE platform, agents embed the Weka data mining methods. The communication among individual agents follows the FIPA protocols and the content of the messages is specified by messages ontology.
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Memory model for a human-like agent
Pešková, Klára ; Neruda, Roman (referee) ; Brom, Cyril (advisor)
In this thesis we introduce a model of episodic memory for a human-like agent, who is designed according to Gibson's theory of affordances. Episodic memory represents personal history of an agent. It stores memories related to particular places and moments, their storage and retrieval depends on subjective feelings and current goals. In this thesis we discuss the believability of the agent as well as some technical issues concerning memory size and memory access time. As a part of our work, we implemented a human-like agent with hierarchical reactive planning, including some features of Belief-Desire-Intention. The agent remembers only important things, i.e. things which passed through the attention filter. Thanks to this filter, memory size can be significantly reduced. At the end of the thesis we introduce results of some tests, which were performed in our prototype implementation.
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