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Less conventional botanical sources of cosmetic raw materials
Novotná, Petra ; Vespalcová, Milena (referee) ; Zemanová, Jana (advisor)
The aim of this bachelor’s thesis is an investigation of use of less traditional plant sources in cosmetic industry. This review is focused on black elder (Sambucus nigra), sea buckthorn (Hippophae rhamnoides), quince (Cydonia oblonga), dog rose (Rosa canina), and stinging nettle (Urtica dioica). The substances Isolated from these plants can be used in various cosmetic products. The first section of this search deals with history and botanical characterization of these plants. The next section deals with significant substances contained in these plants and their use not only in cosmetic industry.
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Analysis of High-Frequency ECG and Mechano-Electric Coupling in Isolated Heart
Novotná, Petra ; Ronzhina, Marina (referee) ; Hejč, Jakub (advisor)
Tato magisterská práce se zabývá analýzou vysokofrekvenčních složek záznamu EKG z pohledu mechano-elektrické vazby u izolovaného králičího srdce. První částí této práce je literární rešerše na zadané téma zahrnující informace o vzniku a šíření akčního potenciálu na chemické i elektrické úrovní i mechano-elektrické zpětné vazbě. Dále práce obsahuje kapitolu zabývající se tématikou průměrování signálu jako techniky ke zvýšení poměru signál-šum při analýze vysokofrekvenčních složek. V praktické části práce jsou získané poznatky aplikovány na dlouhé záznamy EKG z izolovaných králičích srdcí. Zahrnut je popis perfuzního systému podle Neelyho a jeho užití při experimentech. V realizaci byla data z 15 izolovaných králičích srdcí podrobeno analýze zkoumající přítomnost reakce systému na změnu vstupních parametrů (afterloadu a preploadu) v případě tlakově objemových dat. Výsledky byly vztaženy ke stejně získaným hodnotám z HF ECG. Dohromady tvoří popis mechano-elektriké reakce srdce na hemodynamické podněty. Výsledky byly statistisky testovány a vyhodnoceny.
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Analysis of Ventricular Repolarization Parameters
Abbrent, Jakub ; Novotná, Petra (referee) ; Hejč, Jakub (advisor)
This bachelor’s thesis deals with the analysis of ventricular repolarization parameters on experimental ECG records. In the beginning of the theoretical part there are included information about heart electrophysiology, fundamental principle of ECG and cellular basis of the T-wave formation. Next chapter is focused on methods used for the analysis of ventricular repolarization, especially spatial parameters including principal component analysis (PCA). Then, in the thesis, there is described the database of experimental ECG signals created from isolated rabbit hearts. In the practical part of this bachelor’s thesis, there are implemented spatial parameters on experimental ECG records. Implementation of algorithms is performed after initial data preparation. Then, there is performed analysis of relation between spatial and hemodynamic parameters and the relation is evaluated by statistical analysis.
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Optimization of a Deep Neural Network Label Encoding in a Multi-Label Problem.
Zaťko, Martin ; Novotná, Petra (referee) ; Hejč, Jakub (advisor)
The aim of the diploma thesis is to propose a method of deep learning for the classification of arrhythmias from ECG recordings and to compare the effect of coding its outputs on the overall quality of the model. A 1D convolutional neural network was selected and methods of label coding using one-hot coding, ordinal coding, the method using an autoencoder and the word embbeding method were tested and compared on it. The obtained results show that the use of the word embbeding method can increase the classification capacity of the proposed network.
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Determining the tax burden on a natural person
Novotná, Petra ; Kocourková, Gabriela (referee) ; Vítková, Eva (advisor)
The aim of bachelor thesis is the determination of the tax burden for individuals and subsequent recovery of part of the tax to the budget of the municipality in which the natural person has permanent residence. This is a description of the tax system of the Czech Republic and data processing, whose source is the Czech Statistical Office. For convenience, the issue of the data is processed into a graphs.
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Identification of supraventricular tachycardia segments using multiple-instance learning
Abbrent, Jakub ; Novotná, Petra (referee) ; Ronzhina, Marina (advisor)
Supraventricular tachycardias have a high incidence in the population and often cause health disorders. The aim of this thesis is to automatically detect and localize atrial fibrillation in ECG records. The algorithm, implemented in Python, uses a convolutional neural network ResNet for detection with multiple-instance learning and decision rules. The output of the detection in the form of a feature signal is used for localization. The classification achieved F1 score of 0.87 on the test dataset. Then, paroxysmal atrial fibrillation was localized with a deviation of -0.40±2.26 seconds for the onsets and 1.09±2.75 seconds for the terminations of the episodes. Lastly, the obtained results are evaluated and discussed.
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QRS complex detection in long electrograms
Novotná, Petra ; Hejč, Jakub (referee) ; Kozumplík, Jiří (advisor)
This bachelor thesis deals with the detection of the QRS complexes in long electrograms which were acquired by scanning isolated rabbit hearts. The first section of this thesis contains information about general detection principles. Some of those principles are de- scribed into details in the fourth chapter. The practical part consists of: the introduction of processed data, the description of specific algorithms used while solving the task and the realisation of those algorithms in the language of technical computing (MATLAB).
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Analysis of functional interaction between PKN3 kinase and CARMIL1 protein
Novotná, Petra ; Rösel, Daniel (advisor) ; Groušl, Tomáš (referee)
Cancer cell motility and cytoskeletal rearrangements are crucial for metastasis formation. These complex changes involve multiple cellular processes affected by many different proteins. One such protein is the Ser/Thr kinase PKN3. This kinase has been shown to be essential for metastasis formation in some aggressive types of breast and prostate cancer. Interestingly, the PKN3 kinase is not only important in malignant cancers but also in normal tissues. In endothelial cells, the PKN3 kinase can alter their adhesion, or in osteoclasts it helps to promote bone resorption. The effects of the PKN3 kinase on cancer malignancy and cell motility are well documented, but the mechanism behind these effects is still unclear. Therefore, our laboratory seeks to identify novel substrates and interaction partners of the PKN3 kinase. This work focuses on a novel potential substrate of the PKN3 kinase, CARMIL1. This protein is involved in actin cytoskeleton rearrangements by regulating actin polymerisation and thus cell motility. Here we provide evidence that the PKN3 kinase interacts with CARMIL1. Key words: PKN3, CARMIL1, actin cytoskeleton, cancer, invasion
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