National Repository of Grey Literature 6 records found  Search took 0.00 seconds. 
Evulation of the Financial Situation in the Firm and Proposals to its Improvement
Ovesný, Martin ; Ptáček, Martin (referee) ; Solař, Jan (advisor)
This thesis assess the financial situation of the company ELSEREMO, a.s. in the years 2001 to 2005 at the basis of selected methods of the financial analysis. It includes proposals of possible solutions of identified problems which should result in the improvement of financial situation of the firm in future years.
Suggestion of the Optimalization of a Method of Housing Financing in Czech Republic
Pomichálková, Lucie ; Ovesný, Martin (referee) ; Škapa, Stanislav (advisor)
This bachelor's thesis is focused on analysing the options of housing financing in the Czech Republic. In the first instance this bachelor's thesis describes basic characteristics of the property market. Then it shows the options of housing financing by means of financial market tools, especially theoretical and practical aspects of building saving and mortgage credit. I suggest several methods of housing financing for a concrete client. Then I compare the advantages, disadvantages and financial demands of the individual alternates and recommend the optimal solution of housing financing for this client.
Computational methods in single molecule localization microscopy
Ovesný, Martin ; Hagen, Guy Michael (advisor) ; Plášek, Jaromír (referee) ; Fliegel, Karel (referee)
Computational methods in single molecule localization microscopy Abstract Fluorescence microscopy is one of the chief tools used in biomedical research as it is a non invasive, non destructive, and highly specific imaging method. Unfortunately, an optical microscope is a diffraction limited system. Maximum achievable spatial resolution is approximately 250 nm laterally and 500 nm axially. Since most of the structures in cells researchers are interested in are smaller than that, increasing resolution is of prime importance. In recent years, several methods for imaging beyond the diffraction barrier have been developed. One of them is single molecule localization microscopy, a powerful method reported to resolve details as small as 5 nm. This approach to fluorescence microscopy is very computationally intensive. Developing methods to analyze single molecule data and to obtain super-resolution images are the topics of this thesis. In localization microscopy, a super-resolution image is reconstructed from a long sequence of conventional images of sparsely distributed single photoswitchable molecules that need to be sys- tematically localized with sub-diffraction precision. We designed, implemented, and experimentally verified a set of methods for automated processing, analysis and visualization of data acquired...
Computational methods in single molecule localization microscopy
Ovesný, Martin ; Hagen, Guy Michael (advisor) ; Plášek, Jaromír (referee) ; Fliegel, Karel (referee)
Computational methods in single molecule localization microscopy Abstract Fluorescence microscopy is one of the chief tools used in biomedical research as it is a non invasive, non destructive, and highly specific imaging method. Unfortunately, an optical microscope is a diffraction limited system. Maximum achievable spatial resolution is approximately 250 nm laterally and 500 nm axially. Since most of the structures in cells researchers are interested in are smaller than that, increasing resolution is of prime importance. In recent years, several methods for imaging beyond the diffraction barrier have been developed. One of them is single molecule localization microscopy, a powerful method reported to resolve details as small as 5 nm. This approach to fluorescence microscopy is very computationally intensive. Developing methods to analyze single molecule data and to obtain super-resolution images are the topics of this thesis. In localization microscopy, a super-resolution image is reconstructed from a long sequence of conventional images of sparsely distributed single photoswitchable molecules that need to be sys- tematically localized with sub-diffraction precision. We designed, implemented, and experimentally verified a set of methods for automated processing, analysis and visualization of data acquired...
Suggestion of the Optimalization of a Method of Housing Financing in Czech Republic
Pomichálková, Lucie ; Ovesný, Martin (referee) ; Škapa, Stanislav (advisor)
This bachelor's thesis is focused on analysing the options of housing financing in the Czech Republic. In the first instance this bachelor's thesis describes basic characteristics of the property market. Then it shows the options of housing financing by means of financial market tools, especially theoretical and practical aspects of building saving and mortgage credit. I suggest several methods of housing financing for a concrete client. Then I compare the advantages, disadvantages and financial demands of the individual alternates and recommend the optimal solution of housing financing for this client.
Evulation of the Financial Situation in the Firm and Proposals to its Improvement
Ovesný, Martin ; Ptáček, Martin (referee) ; Solař, Jan (advisor)
This thesis assess the financial situation of the company ELSEREMO, a.s. in the years 2001 to 2005 at the basis of selected methods of the financial analysis. It includes proposals of possible solutions of identified problems which should result in the improvement of financial situation of the firm in future years.

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2 Ovesný, Mikoláš
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