The object of this diploma thesis is to cover and describe main selected aspects of reporting on refugee crisis in two key czech news programmes - in Zprávy FTV Prima and in Události ČT. Within the confines of one randomly chosen week in six months at the turn of the year 2016 and 2017 the author uses the quantitative method of analysis (with some elements of qualitative research) to describe in detail the discours chosen by these two powerful media institutions to inform the recipients. This work concentrates on most frequent topics, on their framing, on the linguistic and semantics codes etc. The initial part of the thesis offers insight into theoretical knowledge about this topic - history of migration in Czech territory, selected theoretical concepts and last but not least - the context, facts about the number og migrants living in CZ and EU also. The conclusions may serve as a basis for other analysis concerning this highly topical and very complex issue. The author perceives this subject as one of the most important event of late, which in addition strongly resonates with social and public life. It was in this very recent exodus that exposed how significant may the attitude of media be for shaping the public opinion and the strongest ones seem to be those who can connect both persuasive...

La tomodensitométrie est une technique très utile qui permet de mener avec succès des analyses non-invasives dans plusieurs types d'applications, par exemple médicales ou industrielles. L'analyse manuelle des structures d'intérêt présentes dans une image peut prendre beaucoup de temps, être laborieuse et parfois même impossible à faire en raison de sa complexité. C'est pour cela que dans cette thèse, nous proposons et développons des algorithmes nécessaires à cette analyse, basés sur la géométrie discrète et la topologie. Ces algorithmes peuvent servir dans de nombreuses applications, et en particulier au niveau de l'analyse quantitative automatique de l'arbre bronchique humain, sur la base d'images de tomodensitométrie. La première partie introduit les notions fondamentales de la topologie et de la géométrie discrètes utiles dans cette thèse. Ensuite, nous présentons le principe de méthodes utilisées dans de nombreuses applications : les algorithmes de squelettisation, de calcul de l'axe médian, les algorithmes de fermeture de tunnels et les estimateurs de tangentes. La deuxième partie présente les nouvelles méthodes que nous proposons et qui permettent de résoudre des problèmes particuliers. Nous avons introduit deux méthodes nouvelles de filtrage d'axe médian. La première, que nous appelons "hierarchical scale medial axis", est inspirée du "scale axis transform", sans les inconvénients qui sont propres à la méthode originale. La deuxième est une méthode nommée "discrete adaptive medial axis", où le paramètre de filtrage est adapté dynamiquement aux dimensions locales de l'objet. Dans cette partie, nous introduisons également des estimateurs de tangente nouveaux et efficaces, agissant sur des courbes discrètes tridimensionnelles, et que nous appelons "3Dlambda maximal segment tangent direction". Enfin, nous avons montré que la géométrie discrète et les algorithmes topologiques pouvaient être utiles dans le problème de l'analyse quantitative de l'arbre bronchique humain à partir d'images tomodensitométriques. Dans une chaîne de traitements de structure classique par rapport à l'état de l'art, nous avons appliqué des méthodes de topologie et de géométrie discrète afin de résoudre des problèmes particuliers dans chaque étape du processus de l'analyse quantitative. Nous proposons une méthode robuste pour segmenter l'arbre bronchique à partir d'un ensemble de données tomographiques (CT). La méthode est basée sur un algorithme de fermeture de tunnels qui est utilisé comme outil pour réparer des images CT abîmées par les erreurs d'acquisition. Nous avons aussi proposé un algorithme qui sert à créer un modèle artificiel d'arbre bronchique. Ce modèle est utilisé pour la validation des algorithmes présentés dans cette thèse. Ensuite nous comparons la qualité des différents algorithmes en utilisant un ensemble de test constitué de fantômes (informatiques) et d'un ensemble de données CT réelles. Nous montrons que les méthodes récemment présentées dans le cadre des complexes cubiques, combinées avec les méthodes présentées dans cette thèse, permettent de surmonter des problèmes indiqués par la littérature et peuvent être un bon fondement pour l'implémentation future des systèmes de quantification automatique des particularités de l'arbre bronchique / Computed tomography is a very useful technic which allow non-invasive diagnosis in many applications for example is used with success in industry and medicine. However, manual analysis of the interesting structures can be tedious and extremely time consuming, or even impossible due its complexity. Therefore in this thesis we study and develop discrete geometry and topology algorithms suitable for use in many practical applications, especially, in the problem of automatic quantitative analysis of the human airway trees based on computed tomography images. In the first part, we define basic notions used in discrete topology and geometry then we showed that several class of discrete methods like skeletonisation algorithms, medial axes, tunnels closing algorithms and tangent estimators, are widely used in several different practical application. The second part consist of a proposition and theory of a new methods for solving particular problems. We introduced two new medial axis filtering method. The hierarchical scale medial axis which is based on previously proposed scale axis transform, however, is free of drawbacks introduced in the previously proposed method and the discrete adaptive medial axis where the filtering parameter is dynamically adapted to the local size of the object. In this part we also introduced an efficient and parameter less new tangent estimators along three-dimensional discrete curves, called 3D maximal segment tangent direction. Finally, we showed that discrete geometry and topology algorithms can be useful in the problem of quantitative analysis of the human airway trees based on computed tomography images. According to proposed in the literature design of such system we applied discrete topology and geometry algorithms to solve particular problems at each step of the quantitative analysis process. First, we propose a robust method for segmenting airway tree from CT datasets. The method is based on the tunnel closing algorithm and is used as a tool to repair, damaged by acquisition errors, CT images. We also proposed an algorithm for creation of an artificial model of the bronchial tree and we used such model to validate algorithms presented in this work. Then, we compare the quality of different algorithms using set of experiments conducted on computer phantoms and real CT dataset. We show that recently proposed methods which works in cubical complex framework, together with methods introduced in this work can overcome problems reported in the literature and can be a good basis for the further implementation of the system for automatic quantification of bronchial tree properties

Since Greta Thunberg started her environmental school strike in August 2018 she has become a world famous activist and has been portrayed in news media everywhere. The aim of this bachelor study has been to examine how Greta Thunberg has been portrayed in the Swedish news media through examining two daily press newspapers and two evening press newspapers. This resulted in analyzing articles in Aftonbladet, Expressen, Dagens Nyheter and Svenska Dagbladet. By using a qualitative and a quantitative content analysis we investigated three different events connected to Greta Thunberg through published articles. During 2018 the event that started her journey, which is the school strike, was selected as one of these happenings. During 2019 we chose her UN- speech in New York, and for the last event her speech at the World Economic Forum's Annual Meeting in Davos was chosen. By choosing these specific events we could build a perception of what the media's portrayal of Greta Thunberg has been like during these three years. Therefore this study also aimed to answer the following research questions: - How has Greta Thunberg been portrayed in the daily press and the evening press? - Has the portrayal of Greta Thunberg changed over time? In this study we used the Framing Theory and also the protest paradigms as guidelines and we also applied von Zabern & Tulloch (2020) and Bergmann & Ossewaardes (2020) different frames. This study then led to an identification of a new framing of Greta Thunberg which we named “Speaking without speaking”, mostly consisting of what politicians and celebrities are saying about Greta Thunberg in the press. We also found that by examining these specific events that Greta Thunberg has been portrayed in different ways. Therefore we could also conclude that the framings and portrayals of Greta Thunberg changed throughout time. This means that she went from being portrayed as a young girl skipping school for the climate, to a world famous environmental activist and finally becoming a trustworthy leader. Therefore our study shows that Greta Thunberg was being undermined due to her young age in the ibeginning, but as her status grew the media changed their portrayal of her into the role model that she has become today.

Au sein de la communauté scientifique, l’étude des réseaux d’énergie suscite un vif intérêt puisque ces infrastructures deviennent de plus en plus importantes dans notre monde moderne. Des outils mathématiques avancés et complexes sont nécessaires afin de bien concevoir et mettre en œuvre ces réseaux. La précision et l’optimalité sont deux caractéristiques essentielles pour leur conception. Bien que ces deux aspects soient au cœur des méthodes formelles, leur application effective reste largement inexplorée aux réseaux d’énergie. Cela motive fortement le travail développé dans cette thèse. Un accent particulier est placé sur le problème général de planification de la consommation d'énergie. Il s'agit d'un scénario dans lequel les consommateurs ont besoin d’une certaine quantité d’énergie et souhaitent que cette demande soit satisfaite dans une période spécifique (e.g., un Véhicule Électrique (VE) doit être rechargé dans une fenêtre de temps définie par son propriétaire). Par conséquent, chaque consommateur doit choisir une puissance de consommation à chaque instant (par un système informatisé), afin que l'énergie finale accumulée atteigne un niveau souhaité. La manière dont les puissances sont choisies est obtenue par l’application d’une « stratégie » qui prend en compte à chaque instant les informations pertinentes d'un consommateur afin de choisir un niveau de consommation approprié (e.g., l’énergie accumulée pour recharge le VE). Les stratégies peuvent être conçues selon une approche centralisée (dans laquelle il n'y a qu'un seul décideur qui contrôle toutes les stratégies des consommateurs) ou décentralisée (dans laquelle il y a plusieurs contrôleurs, chacun représentant un consommateur). Nous analysons ces deux scénarios dans cette thèse en utilisant des méthodes formelles, la théorie des jeux et l’optimisation. Plus précisément, nous modélisons le problème de planification de la consommation d'énergie à l'aide des processus de décision de Markov et des jeux stochastiques. Par exemple, l’environnement du système électrique, à savoir : la partie non contrôlable de la consommation totale (e.g., la consommation hors VEs), peut être représentée par un modèle stochastique. La partie contrôlable de la consommation totale peut s’adapter aux contraintes du réseau de distribution (e.g., pour ne pas dépasser la température maximale d'arrêt du transformateur électrique) et à leurs objectifs (e.g., tous les VEs soient rechargés). Cela peut être vu comme un système stochastique avec des multi-objectifs sous contraintes. Par conséquent, cette thèse concerne également une contribution aux modèles avec des objectives multicritères, ce qui permet de poursuivre plusieurs objectifs à la fois et une conception des stratégies qui sont fonctionnellement correctes et robustes aux changements de l'environnement. / Within the research community, there is a great interest in exploring many applications of energy grids since these become more and more important in our modern world. To properly design and implement these networks, advanced and complex mathematical tools are necessary. Two key features for their design are correctness and optimality. While these last two properties are in the core of formal methods, their effective application to energy networks remains largely unexploited. This constitutes one strong motivation for the work developed in this thesis. A special emphasis is made on the generic problem of scheduling power consumption. This is a scenario in which the consumers have a certain energy demand and want to have this demand fulfilled before a set deadline (e.g., an Electric Vehicle (EV) has to be recharged within a given time window set by the EV owner). Therefore, each consumer has to choose at each time the consumption power (by a computerized system) so that the final accumulated energy reaches a desired level. The way in which the power levels are chosen is according to a ``strategy’’ mapping at any time the relevant information of a consumer (e.g., the current accumulated energy for EV-charging) to a suitable power consumption level. The design of such strategies may be either centralized (in which there is a single decision-maker controlling all strategies of consumers), or decentralized (in which there are several decision-makers, each of them representing a consumer). We analyze both scenarios by exploiting ideas originating from formal methods, game theory and optimization. More specifically, the power consumption scheduling problem can be modelled using Markov decision processes and stochastic games. For instance, probabilities provide a way to model the environment of the electrical system, namely: the noncontrollable part of the total consumption (e.g., the non-EV consumption). The controllable consumption can be adapted to the constraints of the distribution network (e.g., to the maximum shutdown temperature of the electrical transformer), and to their objectives (e.g., all EVs are recharged). At first glance, this can be seen as a stochastic system with multi-constraints objectives. Therefore, the contributions of this thesis also concern the area of multi-criteria objective models, which allows one to pursue several objectives at a time such as having strategy designs functionally correct and robust against changes of the environment.

The diploma thesis "Media framing of coalition negotiations after parliamentary elections in 2006 (on example of MF Dnes and Pravo)- deals with the way how two most widely read daily newspapers informed about post-election negotiations in 2006. In the quantitative part, the position of researched topic in monitored media is touched; in the qualitative analysis, the most frequently used media frames are shown. The thesis describes the topic development in the time and points out at the main differences between both the monitored daily papers.

The thesis describes the transposition of the Czech Television crisis on the pages of daily newspapers and weekly magazines. The theoretical part of the thesis describes the genesis of the TV crisis and later shows the problematic of biased news. In the practical part it divides the Czech media according to the quantitative content analysis to the media which openly supported the rebelling journalists or the new management of Czech TV. Interesting in the study is that the traditional right-left division of the Czech media was disproved in the analysis, because the Socialist Party was speaking frequently and with biggest weight also in the traditional right-wing daily newspapers such as Hospodarske noviny, Lidove noviny and Mlada fronta Dnes.

This thesis called "Printed Media Photographs ahead the Elections (Chamber of Deputies of the Czech Parliament, 2006)" brings an analysis of politicians'picture in the five quality-press newspapers ahead of the elections to the lower chamber of the Czech Parliament. This analysis uses the quantitative content analysis, follows up emergence of issues and draws comparisons among the newspapers and political parties. This thesis sums up the main aspects of the photographs in the printed media ahead of the Elections. There are up to 90 graphs that simply show the outcomes even of the multilevel analysis. Analysed daily newspapers were the following: Hospodářské noviny, Mladá fronta Dnes, Lidové noviny, Právo and Haló noviny. The analysis was done by means of the SPSS statistical software.

The work provides theoretical base of project management. It describes the current approach to project management as a combination of multiple processes. The process of risk management is described with special care. It also discuss some of the different approaches to risk management. \\ The work suggests new way of handling risk management, that combines risk management and data mining. Data mining approach is also used to mine quantitative risk values. This approach was successfully implemented and tested. Tests showed that this approach is very useful for omitted risk identification. Unfortunately it is also not recommendable for mining quantitative risk values.

In March 2019 the 5th direct presidential elections were held in Slovakia. In the first round there were 13 candidates running for the office. The winner after the second round held on March 30th was Zuzana Čaputová. With 58,4 percent of all valid votes she became the first female president of The Slovak republic on June 15. This thesis goes into the comparison of Zuzana Čaputová's media image since being elected on the most visited news web sites in The Czech republic and Slovakia. The goal of the thesis is to compare the quantity and content of information published in both countries and to track possible changes in the media narrative and what has caused them. Using the quantitative method of content analysis and qualitative method of frame analysis of relevant articles published on news websites Novinky.cz and Aktuality.sk I want to monitor the decline, stagnation or rise of media interest in the persona of Zuzana Čaputová in the selected time period. This will help to describe the media image of the president on the Czech and Slovak media scene. The source articles are attached to the thesis.

This thesis deals with the influence of the European Migration Crisis in 2015 on the number of uses of selected features of totalitarian language in the rhetoric of ANO movement chairman Andrej Babiš, SPD chairman Tomia Okamura and IvČRN initiative leader Martin Konvička. This work aims to use new quantitative methods to examine over time the frequency and structure of the characters used in totalitarian language based on the concept of politics of eternity of the American historian Timothy Snyder. The occurrence of signs of totalitarian language was monitored on the social network Facebook in the period 2013-2017. The results of the analysis show an increase in the use of features of the totalitarian language with the onset of the migration crisis. In the end, a comparison of the monitored political actors and a contextual interpretation of the findings is given.