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Public Opinion Toward the Tissues and Organs Removal for Transplantation Purposes
KRATOCHVÍLOVÁ, Nikola
The bachelor thesis 'Public Opinion Toward the Tissues and Organs Removal for Transplantation Purposes', as the title suggests, aims at examining the public opinion on the given topic. The objective of the paper was to research how the society perceives the removal of tissues and organs, as well as the level of public awareness in this field. The bachelor thesis is divided into the theoretical and practical part. The theoretic part is dealing with the current conditions of the tissues and organs removal for the purposes of transplantation. This part is divided into three main chapters. Main topics covered by the bachelor thesis are the medical, ethical and legal issues related to the tissues and organs removal. The aim of the practical part was to examine the public opinion on the removal of tissues and organs for the purposes of transplantation. Another objective was to find out whether the society is sufficiently informed about the issue, mainly from the legal point of view. Given the fact that the law 285/2002 Sb. (the transplant law), which has changed the field fundamentally, was introduced almost 12 years ago, I was interested whether the public has sufficient information on the principles of the assumed agreement with the organ and tissue removal. The two determined hypotheses were: Hypothesis 1. The public agrees with the removal of tissues and organs for the purposes of transplantation as a way of saving someone´s life. Hypothesis 2. The majority of respondents does not want to be registered in the National Register of Persons Refusing Posthumous Donation of Tissues and Organs (NROD).The thesis highlighted some issues concerning the removal of tissues and organs for the purpose of transplantation and examined opinions and the level of knowledge of the public in the health-related, ethical and legal matters.
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The creation of videotutorials for the University of Economics, Prague
Zeman, Ondřej ; Šedivá, Zuzana (advisor) ; Kupec, Michael (referee)
The purpose of this bachelor thesis is to acquaint readers with new possibilities of teaching by using information technology and its application, when making learning material. The main outputs of this thesis are video tutorials, which serve as an education support for the course 4IT110 Use MS Excel in business practice taught in the University of Economics, Prague. However, it may be useful to other students of different courses. The process of making tutorials is described from the very beginning by specifying methodology, creating model exercises, subsequent testing of tutorials by students and optimisation of videos according to their suggestions and comments.
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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Design of the pilot Business Intelligence solution for e-commerce platform
Kabrhelová, Kateřina ; Novotný, Ota (advisor) ; Vysoký, Ondřej (referee)
This thesis deals with the design of the pilot Business Intelligence solution for e-commerce platform Shopio. The first part describes the theoretical concepts of Business Intelligence and e-commerce focused on possible approaches to performance measurement of electronic commerce. Furthermore there is a comparison of analytical tools for measuring performance of e-shops which are available on the Czech market. The second part of the thesis first describes the e-commerce platform and the current status of the reporting module. Then the requirement analysis is conducted for the purpose of identifying the current company client's needs and requirements. The new Business Intelligence solution is designed based on the identified requirements described in the previous chapters. This solution is then tested and verified with the use of real e-shop data. The main purpose of this thesis is to refine the current status of the reports and provide a better tool to measure the e-shop performance for the e-shop owners.
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Effect of snowpack on runoff generation during rain on snow event.
Juras, Roman ; Máca, Petr (advisor) ; Ladislav , Ladislav (referee)
During a winter season, when snow covers the watershed, the frequency of rain-on-snow (ROS) events is still raising. ROS can cause severe natural hazards like floods or wet avalanches. Prediction of ROS effects is linked to better understanding of snowpack runoff dynamics and its composition. Deploying rainfall simulation together with hydrological tracers was tested as a convenient tool for this purpose. Overall 18 sprinkling experiments were conducted on snow featuring different initial conditions in mountainous regions over middle and western Europe.
Dye tracer brilliant blue (FCF) was used for flow regime determination, because it enables to visualise preferential paths and layers interface. Snowpack runoff composition was assessed by hydrograph separation method, which provided appropriate results with acceptable uncertainty. It was not possible to use concurrently these two techniques because of technical reasons, however it would extend our gained knowledge. Snowmelt water amount in the snowpack runoff was estimated by energy balance (EB) equation, which is very efficient but quality inputs demanding. This was also the reason, why EB was deployed within only single experiment.
Timing of snowpack runoff onset decrease mainly with the rain intensity. Initial snowpack properties like bulk density or wetness are less important for time of runoff generation compared to the rain intensity. On the other het when same rain intensity was applied, non-ripe snowpack featuring less bulk density created runoff faster than the ripe snowpack featuring higher bulk density. Snowpack runoff magnitude mainly depends on the snowpack initial saturation. Ripe snowpack with higher saturation enabled to generate higher cumulative runoff where contributed by max 50 %. In contrary, rainwater travelled through the non-ripe snowpack relatively fast and contributed runoff by approx. 80 %.
Runoff prediction was tested by deploying Richards equation included in SNOWPACK model. The model was modified using a dual-domain approach to better simulate snowpack runoff under preferential flow conditions. Presented approach demonstrated an improvement in all simulated aspects compared to the more traditional method when only matrix flow is considered.
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Individual human odor as a forensic trail in criminal proceeding made by contact or contactless transmission and its resistance to physical agents
Santariová, Milena ; Bartoš, Luděk (advisor) ; Chmelíková, Eva (referee)
The dissertation thesis consists of four papers that have been published in scientific journals.
Study n. 1
The need to recover evidence from water is quite common in criminal investigation. The article deals with the possibility to collect human scent from such objects and with the ability of specially trained dogs to match such scent samples with scent samples collected from detained suspects. During an experiment, designed as a blind one, it has been proved, that human scent can survive on submerged objects and can be later used for scent identification.
Study n. 2
To collect odors the Czech Republic Police use special fabric sorbents manufactured under the registered mark ARATEX. Before use the fabric sorbent is treated by water vapor sterilization. After the scent identification the sorbent is destroyed. The goal of the study was to verify if the vapor sterilization is effective enough to remove human scent that has already penetrated into the sorbent structure or in other words if the sorbent can be exposed to vapor sterilization and then used again. Specially trained dogs were used to match starting odors with target odors in the line-ups. The results showed that dogs are able to correctly match human odors even after they have being exposed to vapor sterilization.
Study n. 3
The purpose of the study was to determine the temperature at which the human scent is degraded so that a dog would not be able to identify it. In contrast to expectations, eight dogs used in the experiment almost flawlessly identified human scents from five scent donors exposed to temperatures of 100°C, 200°C, 300°C, 400°C, 500°C, 600°C, 700°C, and 800°C. Only two of the dogs were able to identify 5 of 15 scent samples exposed to 900°C. No dog identified a scent exposed to 1000°C. Our study verified heat survivability of human scent far beyond existing expectations.
Study n. 4
We tested the hypothesis that if odor fallout (the release of a human odor onto an untouched object) in human subjects exists, then holding a hand above an absorbent will produce a detectable scent which will be subsequently matched in a detection test by trained dogs. Scents were collected from seven males to sterile cotton absorbent squares. The left hand was used to get the control scent and the right hand served as the target scent. Each experimental subject was sitting and his left hand was laid down on a cotton square for 3 min. The right hand was held 5 cm above another cotton square for 3 min. The scent identification was done by two specially trained police German shepherds. Both dogs performed 14 line-ups and correctly matched the collected scents of all test subjects. The results suggest the existence of human odor fallout, whereby a human scent trace is left by humans even if they do not touch an object.
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New Methods for Increasing Efficiency and Speed of Functional Verification
Zachariášová, Marcela ; Dohnal, Jan (referee) ; Steininger, Andreas (referee) ; Kotásek, Zdeněk (advisor)
Při vývoji současných číslicových systémů, např. vestavěných systému a počítačového hardware, je nutné hledat postupy, jak zvýšit jejich spolehlivost. Jednou z možností je zvyšování efektivity a rychlosti verifikačních procesů, které se provádějí v raných fázích návrhu. V této dizertační práci se pozornost věnuje verifikačnímu přístupu s názvem funkční verifikace. Je identifikováno několik výzev a problému týkajících se efektivity a rychlosti funkční verifikace a ty jsou následně řešeny v cílech dizertační práce. První cíl se zaměřuje na redukci simulačního času v průběhu verifikace komplexních systémů. Důvodem je, že simulace inherentně paralelního hardwarového systému trvá velmi dlouho v porovnání s během v skutečném hardware. Je proto navrhnuta optimalizační technika, která umisťuje verifikovaný systém do FPGA akcelerátoru, zatím co část verifikačního prostředí stále běží v simulaci. Tímto přemístěním je možné výrazně zredukovat simulační režii. Druhý cíl se zabývá ručně připravovanými verifikačními prostředími, která představují výrazné omezení ve verifikační produktivitě. Tato režie však není nutná, protože většina verifikačních prostředí má velice podobnou strukturu, jelikož využívají komponenty standardních verifikačních metodik. Tyto komponenty se jen upravují s ohledem na verifikovaný systém. Proto druhá optimalizační technika analyzuje popis systému na vyšší úrovni abstrakce a automatizuje tvorbu verifikačních prostředí tím, že je automaticky generuje z tohoto vysoko-úrovňového popisu. Třetí cíl zkoumá, jak je možné docílit úplnost verifikace pomocí inteligentní automatizace. Úplnost verifikace se typicky měří pomocí různých metrik pokrytí a verifikace je ukončena, když je dosažena právě vysoká úroveň pokrytí. Proto je navržena třetí optimalizační technika, která řídí generování vstupů pro verifikovaný systém tak, aby tyto vstupy aktivovali současně co nejvíc bodů pokrytí a aby byla rychlost konvergence k maximálnímu pokrytí co nejvyšší. Jako hlavní optimalizační prostředek se používá genetický algoritmus, který je přizpůsoben pro funkční verifikaci a jeho parametry jsou vyladěny pro tuto doménu. Běží na pozadí verifikačního procesu, analyzuje dosažené pokrytí a na základě toho dynamicky upravuje omezující podmínky pro generátor vstupů. Tyto podmínky jsou reprezentovány pravděpodobnostmi, které určují výběr vhodných hodnot ze vstupní domény. Čtvrtý cíl diskutuje, zda je možné znovu použít vstupy z funkční verifikace pro účely regresního testování a optimalizovat je tak, aby byla rychlost testování co nejvyšší. Ve funkční verifikaci je totiž běžné, že vstupy jsou značně redundantní, jelikož jsou produkovány generátorem. Pro regresní testy ale tato redundance není potřebná a proto může být eliminována. Zároveň je ale nutné dbát na to, aby úroveň pokrytí dosáhnutá optimalizovanou sadou byla stejná, jako u té původní. Čtvrtá optimalizační technika toto reflektuje a opět používá genetický algoritmus jako optimalizační prostředek. Tentokrát ale není integrován do procesu verifikace, ale je použit až po její ukončení. Velmi rychle odstraňuje redundanci z původní sady vstupů a výsledná doba simulace je tak značně optimalizována.
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Test Application Methodology Based On the Identification of Testable blocks
Herrman, Tomáš ; Plíva, Zdeněk (referee) ; Racek, Stanislav (referee) ; Kotásek, Zdeněk (advisor)
The PhD thesis deals with the analysis of digital systems described on RT level. The methodology of data paths analysis is decribed, the data path controller analysis is not solved in the thesis. The methodology is built on the concept of Testable Block (TB) which allows to divide digital component to such segments which can be tested through their inputs/outputs, border registers and primary inputs/outputs are used for this purpose. As a result, lower number of registers is needed to be included into scan chain - border registers are the only ones which are scanned. The segmentation allows also to reduce the volume of test vectors, tests are generated for segments, not for the complete component. To identify TBs, two evolutionary algorithms are used, they operate on TB formal model which is also defined in the thesis.
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Location-aware data transfers scheduling for distributed virtual walkthrough applications.
Přibyl, Jaroslav ; Sochor, Jiří (referee) ; Sojka, Eduard (referee) ; Zemčík, Pavel (advisor)
Důležitou součástí aplikací procházení distribuovanou virtuální scénou je proces plánování přenosu dat. Jeho hlavním úkolem je zajištění efektivního přenosu dat a maximální kvality renderovaného obrazu. Největší vliv na kvalitu renderované scény mají omezení síťového připojení. Tyto omezení lze redukovat pomocí multi-resolution reprezentace dat scény, určováním priorit stahování jednotlivých částí scény, a přednačítáním dat. Pokročilé metody pro určování priorit a přednačítání částí scény jsou založeny na predikci pohybu uživatele vycházející z matematického popisu jeho pohybu. Tyto metody jsou schopny predikovat následující pozici uživatele jen v krátké vzdálenosti od jeho aktuální polohy. V případě náhlých, ale pravidelných změn směru pohybu uživatele jsou tyto metody nedostatečné co do přesnosti i délky predikce. V této práci je navrhnut komplexní přístup k řešení plánování přenosu dat splňující i tyto požadavky. Navrhované řešení využívá predikci pohybu uživatele založenou na znalostech k určení priority stahování dat i předstahování částí scény. Provedené experimenty nad testovacími daty ukazují, že navržené schéma plánování přenosu dat umožňuje dosažení vyšší efektivity přenosu dat a vyšší kvality renderovaného obrazu během průchodu testovací scénou.
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Security of Biometric Systems
Lodrová, Dana ; Busch, Christoph (referee) ; Provazník, Ivo (referee) ; Drahanský, Martin (advisor)
Hlavním přínosem této práce jsou dva nové přístupy pro zvýšení bezpečnosti biometrických systémů založených na rozpoznávání podle otisků prstů. První přístup je z oblasti testování živosti a znemožňuje použití různých typů falešných otisků prstů a jiných metod oklamání senzoru v průběhu procesu snímání otisků. Tento patentovaný přístup je založen na změně barvy a šířky papilárních linií vlivem přitlačení prstu na skleněný podklad. Výsledná jednotka pro testování živosti může být integrována do optických senzorů. Druhý přístup je z oblasti standardizace a zvyšuje bezpečnost a interoperabilitu procesů extrakce markantů a porovnání. Pro tyto účely jsem vytvořila metodologii, která stanovuje míry sémantické shody pro extraktory markantů otisků prstů. Markanty nalezené testovanými extraktory jsou porovnávány oproti Ground-Truth markantům získaným pomocí shlukování dat poskytnutých daktyloskopickými experty. Tato navrhovaná metodologie je zahrnuta v navrhovaném dodatku k normě ISO/IEC 29109-2 (Amd. 2 WD4).
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