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Use of Heuristics for Password Recovery with GPU Acceleration
Gazdík, Peter ; Holkovič, Martin (referee) ; Hranický, Radek (advisor)
This thesis discusses various techniques to enhance the password recovery process with GPU acceleration. The first part introduces a Markov model and simple regular expressions. These techniques dramatically reduce the password space to be searched. This is based on observations of users and their use of letters in passwords. We propose the design of a parallel algorithm that combines both techniques. Last part of the thesis contains the results of experiments to prove benefits of Markov model.
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Health technology assessment od digital diabetes therapeutics
Klásek, Jan ; Votápková, Jana (advisor) ; Bertoli, Paola (referee)
The prevalence of Type 2 diabetes mellitus is increasing all around the world. This chronic disease leads to a decrease in quality of life and brings a significant financial burden to the national health systems. While diabetes not being completely reversible, it can be well controlled by introducing and maintaining healthy living habits. Nowadays, such intervention can be deliv- ered through digital devices with less medical staff time needed. This thesis investigates the cost-effectiveness of the lifestyle intervention delivered by a mobile application on a German study sample of 42 patients. The analysis is performed using a discrete-time Markov chain for the different lifetimes of the model. The robustness of the results is checked using both deterministic and probabilistic sensitivity analysis. Results suggest that digital intervention can be considered cost-effective in both the short and long-term compared to the current standards of care. 1
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Colorectal cancer - from patogenesis to screening. Colorectal carcinogenesis in ulcerative colitis with primary sclerosing cholangitis and the issue of the screening of the colorectal cancer.
Wohl, Pavel ; Špičák, Julius (advisor) ; Škarda, Jozef (referee) ; Gregor, Martin (referee)
Colorectal carcinoma (CRC) ranks high in mortality and morbidity in most developed countries. Following theses focus on specific aspects of colorectal carcinoma pathogenesis including the issue of screening. The goal of the first study was assessment of expression of epithelial markers of colorectal carcinogenesis p53, COX-2, bcl-2. The study included patients with active ulcerative colitis (UCA), ulcerative colitis in remission (UCR), primary sclerosing cholangitis with ulcerative colitis (PSC-UC) (PSC), patients after liver transplantation for PSC (OLT) and a control group (N). We found significantly increased expression of tumour suppressor gene p53 in non-dysplastic mucosae in PSC-UC compared with UCA, UCR, OLT, and N, which may indicate higher neoplastic potential of PSC. Statistically significant correlation was found between PSC incidence and p53 expression. Surprisingly, OLT showed no p53 expression in non-dysplastic mucosa compared with PSC-UC. This indicates that PSC may contribute to increased expression of p53 and p53-induced colorectal carcinogenesis. Furthermore, a correlation between expression of p53 and COX-2 together with the increased expression of bcl-2 in UCA compared to N can support the role of inflammation in colorectal carcinogenesis. The goal of the second study was...
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Use of Heuristics for Password Recovery with GPU Acceleration
Gazdík, Peter ; Holkovič, Martin (referee) ; Hranický, Radek (advisor)
This thesis discusses various techniques to enhance the password recovery process with GPU acceleration. The first part introduces a Markov model and simple regular expressions. These techniques dramatically reduce the password space to be searched. This is based on observations of users and their use of letters in passwords. We propose the design of a parallel algorithm that combines both techniques. Last part of the thesis contains the results of experiments to prove benefits of Markov model.
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Survival Analysis in R
Pásztor, Bálint ; Malá, Ivana (advisor) ; Čabla, Adam (referee)
Survival analysis is a statistical discipline that analyzes the time to occurrence of certain events. The aim of this thesis is to describe the possibilities of survival analysis in the environment of statistical software R. Theoretical knowledge is applied to real data, parametric and nonparametric estimates of survival functions are evaluated by different methods and compared with each other. In the section focusing on nonparametric models Kaplan-Meier and Nelson-Aalen functions are described. Among the parametric estimates there were included well-known probability distributions, survival functions and risk functions derived from these distributions are presented and there is discussed their usefulness in survival analysis. Another aim is to show the possibility of deriving transition probabilities from estimates and building a Markov chain model to capture the changes of studied cohort over time. The second part of the work contains a description of the applications of the theory of survival analysis. In this section there are shown possibilities of statistical modeling in the field of survival analysis using the software R. Outputs from R were used to create Markov model. There are presented possibilities of pharmacoeconomic models and description of the basic concepts of HTA. Cost-effectiveness calculations using ICER were conducted in accordance with the methodology of SUKL. It was shown that the statistical modelling of survival plays an important role in the evaluation of the cost-effectiveness of medicines.
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