The diploma thesis concerns 1918-2017 stagings and adaptations of Strakonický dudák. We continue in the bachelor´s thesis Character of a bagpiper in 19th century Czech literature, a comparison with Pitinský's 2013 staging of Strakonický dudák. The aim of the diploma thesis is to show the changes in the attitude towards Tyl´s drama Strakonický dudák (1847) during the 20th and the beginning of the 21st century. On the basis of the interpretation of Tyl´s text we analyse chosen adaptations and stagings and we compare the main topics with Tyl´s version. In the first part we are concerned with interpretation of film adaptations of Tyl´s drama from 1937 to 1955. We examine different approaches to the theme and the way it is affected by socio-political situation. In the second part we deal with theatre stagings of Strakonický dudák. First, we deal with the position of theatre since the 1950s and with the demands on the adaptation on Tyl´s play. By means of interpretation of 1980-2006 stagings of Strakonický dudák we follow the shift from the adaptation based on Zdeněk Nejedlý´s thoughts to distinctive and original adaptations which offer current topics

The presented diploma thesis deals with VAT rules applied to supply of services as settled by the VAT directive. The main aim of the work is to analyze the application of the VAT law by Czech Republic, France and Slovakia. The work also describes how the selected countries have made use of derogations and compulsory provisions. The taxation of services is described according to national legislation in force on 31/07/2019.

The theme of the diploma thesis is "Progressive tax burden on households on income from individuals". The aim of this work is to examine the progressive burden on households of personal income tax, using model households. The purpose is also to determine which taxpayers and in which households have the greatest tax burden. The study is conducted using an average tax rate. The analysis is performed in years 2016, 2017 and 2018 on four taxpayers (which are different by the amount of gross wage), which are in five different types of households (according to their composition, taxpayers apply different types of discounts or tax advantages). The results of the thesis show that the higher the gross wage, the higher the average tax rate (the higher the tax burn on the taxpayer), which is also more balanced than the poorer taxpayers. There is a minimal difference between rates year-on-year. Personal income tax is progressive.

Environment maps are widely used in several computer graphics fields, such as realistic architectural rendering or computer games as sources of the light in the scene. Obtaining these maps is not easy, since they have to have both a high- dynamic range as well as a high resolution. As a result, they are expensive to make and the supply is limited. Deep neural networks are a widely unexplored research area and have been successfully used for generating complex and realistic images like human portraits. Neural networks perform well at predicting data from complex models, which are easily observable, such as photos of the real world. This thesis explores the idea of generating physically plausible environment maps by utilizing deep neural networks known as generative adversarial networks. Since a skydome dataset is not publicly available, we develop a scalable capture process with both low-end and high-end hardware. We implement a pipeline to process the captured data before feeding it to a network and extend an already existing network architecture to generate HDR environment maps. We then run a series of experiments to determine the quality of the results and uncover the directions of possible further research.

Knowledge management (KM) is vital for an organization to succeed in a highly dynamic and competitive world. The purpose of this multiple case study was to explore strategies that managers of small and medium-sized enterprises (SMEs) use to effectively integrate KM into business practices. The study population comprised 5 managers from 2 SMEs operating in Uganda. The eligibility criteria for this study were that participants had to be from Ugandan SMEs with a knowledge-intensive environment, managers with some responsibility of KM in the organization, and experienced with at least 1 year of successful KM practices. The conceptual framework for this study was theory z. Data were collected through face-to-face, semistructured interviews and reviews of company documents. Member checking was completed to strengthen credibility and trustworthiness. After methodological triangulation of the data sources collected and completion of Yin's 5-step process of data analysis, 5 themes emerged: having supportive leadership, ensuring sustainability, embedding KM practices in the organization culture, socialization, and embracing modern technology. The findings of this study might promote social change by supporting SME managers' use of KM to expand opportunities for employees to learn new skills and knowledge leading to the expansion of employment opportunities.

Sensors with very low power consumption are required so that they can last a long time without the need to replace the batteries very often. Low power sensors can save significant cost and time incurred in battery replacement, especially in establishments and organizations that span over several buildings, floors and rooms. In this thesis, we investigate the use of the low-power wireless protocol Z-wave for sensors solutions that can last for approximately 10 years. An algorithm was created and we concluded that 10 years on a 480 mAh battery is not possible and the expected years need to be lowered or we need to increase the battery capacity.

Holocene climate likely influenced prehistoric hunter-gatherer subsistence and mobility as changing climate patterns affected food resources. Of interest here is whether climate-driven resource variability influenced peoples in the central Rocky Mountains. This study employed the z-score model to predict how foragers coped with resource variability. The exercise enabled exploration of the relationship between climate, resources, and foraging strategies at High Rise Village (48FR5891), an alpine residential site in Wyoming's Wind River Range occupied between 2800-250 cal B.P. The test was applied to occupations dating to the Medieval Warm Period (1150-550 cal B.P.) and the Little Ice Age (550-100 cal B.P.). Using regional characterizations of temporal variability for these climate periods, a z-score model was employed to develop predictions of how foragers coped with resource variability and predictability during both periods. The model predicted foraging decisions at High Rise Village that managed the risk of caloric shortfall during the slow-changing Medieval Warm Period and the highly variable Little Ice Age. Predictions for each period were tested against corresponding archaeological expectations for subsistence remains, mobility and technology requirements, and the frequency of site use. Further, this study employed a dendroclimatological study to locally characterize the climate periods and test model assumptions of their contrasting patterns of variability. The dendroclimatological study corroborates model assumptions and finds that the Medieval Warm Period was a period of multidecadal climatic variability and resource predictability while the Little Ice Age was characterized by short-term variability and resource unpredictability. Poor preservation of subsistence remains hampered the archaeological study. However, as expected, lithic and chronometric data indicate the site was used residentially and relatively frequently during the Medieval Warm Period, and that use decreased during the Little Ice Age. Medieval use of the site appears to be by Uinta Phase (1800-900 cal B.P.) foragers from the adjacent lowlands, and likely related to regional population pressure, as well as resource accessibility and predictability at High Rise Village. A dramatic decrease in site use predates the Little Ice Age and is likely related to regional population decrease and not LIA conditions at High Rise Village.

In the last few years, several studies have attempted to meta-analyze reliability estimates. The initial study, to outline a methodology for meta-analyzing reliability coefficients, was published by Vacha-Haase in 1998. Vacha-Haase used a very basic meta-analytic model to find a mean effect size (reliability) across studies. There are two main reasons for meta-analyzing reliability coefficients. First, recent research has shown that many studies fail to report the appropriate reliability for the measure and population of the actual study (Vacha-Haase, Ness, Nilsson and Reetz, 1999; Whittington, 1998; Yin and Fan, 2000). Second, very little research has been published describing the way reliabilities for the same measure vary according to moderators such as time, form length, population differences in trait variability and others. Vacha-Haase (1998) proposed meta-analysis, as a method by which the impact of moderators may become better understood. Although other researchers have followed the Vacha-Haase example and meta-analyzed the reliabilities for several measures, little has been written about the best methodology to use for such analysis. Reliabilities are much larger on average than are validities, and thus tend to show greater skew in their sampling distributions. This study took a closer look at the methodology with which reliability can be meta-analyzed. Specifically, a Monte Carlo study was run so that population characteristics were known. This provided a unique ability to test how well each of three methods estimates the true population characteristics. The three methods studied were the Vacha-Haase method as outlined in her 1998 article, the well-known Hunter and Schmidt "bare bones method" (1990) and the random-effects version of Hedges' method as described by Lipsey and Wilson (2001). The methods differ both in how they estimate the random-effects variance component (or in one case, whether the random-effects variance component is estimated at all) and in how they treat moderator variables. Results showed which of these methods is best applied to reliability meta-analysis. A combination of the Hunter and Schmidt (1999) method and weighted least squares regression is proposed.

近年來，隨著網路溝通工具與網路社群服務等的蓬勃發展，誕生了一批悠遊於網路與真實世界所鑲嵌之社交網絡的「Z世代青少兒」。「Z世代」為1998年以後出生的青少兒，此一世代極早接觸網際網路，其童年成長與即時通訊軟體、部落格、社群網站等網路服務的發展同步，並經常使用該網路服務來滿足社交需求。然而，關於Z世代青少兒在網路上所建立與維繫之社交關係的相關研究卻稍嫌不足，即便有，研究者也大多持負面觀點看待該社交關係，致使許多家長與關心青少兒的組織團體，僅只干預或限制青少兒在網路上的社交活動，卻無法理解這些網路社交活動對於Z世代青少兒在擴展與維繫社交關係上的意義。 本研究透過十名受訪青少兒的口述、圖畫以及網路示範，知悉其在網路與真實世界互嵌網絡的各種社交空間之流動情形，以及其所進行的社交內容與活動，再進一步探討其間所發展的社交關係。研究分析則參照Alanen的童年場域分類，說明Z世代青少兒對社交關係的認知、界定以及轉變，而針對該社交關係的轉變情形，則參照關係辯證理論，描繪轉變其間的動態與考量。 研究結果發現，首先，Z世代青少兒對於友誼關係抱持較開放的定義，不受限於以往的社交網絡群分類，認為無論社交對象來自「家庭」、「學校」或是「個人興趣」等場域，若彼此擁有較高的社交內容與活動的多元性與密集度，即可能將該社交對象視為「朋友」。其次，透過即時通訊軟體、部落格、社群網站等網路服務的使用，Z世代青少兒與社交對象得以進入彼此更多的社交空間，雙方進而擁有更多共享的關心議題以及共同參與的活動，即增進彼此社交內容與活動的多元性與密集度。 最後，研究也發現，Z世代青少兒與社交對象是否進入彼此的多種社交空間，以及是否參與雙方之社交內容與活動的意願與程度，乃依據彼此過去和現在的互動情形，以及對於各種網路服務所提供的社交空間之認知不同而有差異。因此，本研究以為，隨著網路溝通工具與網路社群服務等進入Z世代青少兒的生活，其社交關係的認知與界定有了轉變，無論是在「家庭」、「學校」或是「個人興趣」等場域，皆有可能與其中的社交對象發展「友誼」關係，而該友誼關係也受雙方的互動情形與對各種社交空間的認知差異所影響，呈現不斷轉變的動態過程。

Les travaux présentés dans ce mémoire portent sur l'étude des langages et méthodes de conception des Systèmes Automatisés de Conception (SAP). Notre objectif est l'amélioration de la rigueur de la définition de ces langages et méthodes. Le moyen retenu est l'utilisation d'un langage formel, le langage Z, pour les méta-modéliser. Dans un premier temps, nous présentons les travaux existants sur l'étude de l'activité de modélisation, afin de montrer l'intérêt de la méta-modélisation vis-à-vis de notre objectif. Dans un deuxième temps, nous caractérisons les différents aspects que doit couvrir un méta-modèle pour représenter avec rigueur un langage ou une méthode. Dans un troisième temps, nous présentons de quelle façon le langage Z permet de couvrir l'ensemble de ces besoins. Nous validons alors notre approche sur deux exemples. Le premier exemple est un langage de conception des systèmes à événements discrets : les réseaux de Petri généralisés. Le deuxième exemple est une méthode de conception de la commande des systèmes hybrides intégrant deux langages : les réseaux de Petri temporels à événements et les équations différentielles.