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Preoperative and postoperative care in cardio surgery from the patient's point of view
Votava, Adam ; Klokočková, Šárka (advisor) ; Zámečníková, Kateřina (referee)
Preoperative and postoperative care in cardiac surgery from the patient's point of view - Adam Votava ABSTRACT The bachelor's thesis "Preoperative and postoperative care in cardiac surgery from the patient's point of view" investigated, evaluated and compared the views of patients who underwent cardiac surgery on the health care provided. The aim of the work was to map problematic areas in the provided information on the course of planned care and other areas connected with this topic. In the theoretical part of the thesis, the field of cardiac surgery itself, the process of hospitalization in the cardiac surgery department and specific information about the surgical procedure that the interviewees went through were presented. She also dealt with the role of the patient in healthcare. It presents the legal and ethical aspects of the patient in the Czech Republic and explained the factors affecting the patient's access to the provided health care. In conclusion, this section explains the need for information and possible resources that the cardiac surgery patient can use to his advantage. The empirical part contains the results of our own exploratory investigation and a comparison of the results with the results of other similar works. Method: Qualitative research - semi-structured interview. Results: Eight...
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Výběr volitelných parametrů částečného zapomínání
Votava, Adam ; Kárný, Miroslav (advisor) ; Šmíd, Martin (referee)
Presented work deals with the choice of optional parameters determining partial forgetting. The main objective is to design an algorithm for the development of the optional parameters in time in the optimal way, which would be better than usage of constant parameters. For this purpose, the Bayesian dynamic decision making, general principles of tracking the slowly varying parameters via forgetting and partial forgetting method are presented. To make computations feasible the exponential family of probability distribution functions is used. Applied algorithm is described mathematically using Bayesian learning. The stress is laid on the forgetting factor's choice, that is regarded as a Bayesian hypothesis testing. Moreover, the set of hypotheses on the forgetting factor varies in time. To hypotheses, forgetting is also applied. The presented methods are then applied to the normal regression model. However, the generality of the theoretical part allows the application to other models, e.g. Markov chain model, too. The algorithm is then programmed within the Python environment and tested on the real traffic data and on the simulated data as well.
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A comparison of current account and deposit account contracts
Votava, Adam ; Liška, Petr (advisor) ; Elek, Štefan (referee)
of the Thesis "A comparison of current account and deposit account contracts" The thesis is dedicated to a comparison of current account contracts and deposit account contracts. Since both contracts have became very common, it is interesting to investigate mutual characteristics and differences properly. The thesis is divided into several parts, each of them dealing with individual legal institutes of the legal regulation of these contracts. First chapter deals with the legal regulation of compared contracts in relation to split of the regulation between Act. No. 513/1991 Coll., Commercial Code and Act. No. 284/2009 Coll., on the system of payment. Chapter Two describes the legal definition of both contracts as it stands in Commercial Code. It also examines the legal form of the contracts and some informational obligation arising from Act on payment services. Chapter Three deals with the disposal of the accounts while chapter four deals with the disposal of financial assets on the accounts together with providing information associated with payment transactions and terms for their execution. Chapter Five is dedicated to the interests. Among others it examines assessment of interest, from legal point of view, and its payout. Chapter Six, on the other hand, deals with the fees associated with the...
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A comparison of current account and deposit account contracts
Votava, Adam ; Liška, Petr (advisor) ; Elek, Štefan (referee)
of the Thesis "A comparison of current account and deposit account contracts" The thesis is dedicated to a comparison of current account contracts and deposit account contracts. Since both contracts have became very common, it is interesting to investigate mutual characteristics and differences properly. The thesis is divided into several parts, each of them dealing with individual legal institutes of the legal regulation of these contracts. First chapter deals with the legal regulation of compared contracts in relation to split of the regulation between Act. No. 513/1991 Coll., Commercial Code and Act. No. 284/2009 Coll., on the system of payment. Chapter Two describes the legal definition of both contracts as it stands in Commercial Code. It also examines the legal form of the contracts and some informational obligation arising from Act on payment services. Chapter Three deals with the disposal of the accounts while chapter four deals with the disposal of financial assets on the accounts together with providing information associated with payment transactions and terms for their execution. Chapter Five is dedicated to the interests. Among others it examines assessment of interest, from legal point of view, and its payout. Chapter Six, on the other hand, deals with the fees associated with the...
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Výběr volitelných parametrů částečného zapomínání
Votava, Adam ; Kárný, Miroslav (advisor) ; Šmíd, Martin (referee)
Presented work deals with the choice of optional parameters determining partial forgetting. The main objective is to design an algorithm for the development of the optional parameters in time in the optimal way, which would be better than usage of constant parameters. For this purpose, the Bayesian dynamic decision making, general principles of tracking the slowly varying parameters via forgetting and partial forgetting method are presented. To make computations feasible the exponential family of probability distribution functions is used. Applied algorithm is described mathematically using Bayesian learning. The stress is laid on the forgetting factor's choice, that is regarded as a Bayesian hypothesis testing. Moreover, the set of hypotheses on the forgetting factor varies in time. To hypotheses, forgetting is also applied. The presented methods are then applied to the normal regression model. However, the generality of the theoretical part allows the application to other models, e.g. Markov chain model, too. The algorithm is then programmed within the Python environment and tested on the real traffic data and on the simulated data as well.
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