Diploma thesis focuses on inventories from own operations in the Strojírny Prostějov, a.s. The first part of the work is focused on theoretical background related to this area. In the analytical section there is description of the procedures of the current valuation, accounting and stocktaking according to current internal guideline. The practical part of the thesis is a draft amendment to the current directive, which describes the valuation of inventories from own operations and booking from the year 2016 so that the company has fulfilled the requirements of the valid legislation on the true and fair view of its assets.

El objetivo del presente estudio consistió en identificar la relación entre la satisfacción con la vida y rol de género femenino en mujeres que trabajan en una entidad bancaria. Se utilizó un modelo cuantitativo, no experimental de tipo correlacional en una muestra conformada por 154 mujeres entre los 18 y 56 años que se encontraban contratadas y laborando en la agencia seleccionada de la entidad bancaria. Se utilizó la Escala de satisfacción con la vida de Pavot y Diener (1993), versión traducida al español por Atienza et al. (2000). Además del Inventario de roles sexuales de Sandra Bem (1971), versión traducida por Raguz en 1991. Los resultados demostraron que existe una relación entre ambas variables, pero no significativa. Se discuten los resultados desde las implicancias de la psicología positiva. / The objective of the present study was to identify the relationship between satisfaction with life and the role of women working in a bank. This investigation used a quantitative, correlative and non-experimental model. The sample was made by 154 women between 18 and 56 years old who were hired and working in the selected agency of the bank. The Satisfaction with Life Scale of Pavot and Diener (1993), translated version into Spanish by Atienza et al. (2000), and the Inventory of Sexual Roles of Sandra Bem (1971), translated version by Raguz in 1991 were used. The results showed that there is a relationship between both variables, but not significant. The results are discussed from the implications of positive psychology. / Tesis

Inhalt der vorliegenden Arbeit ist die Entwicklung eines Lernverfahrens, das aus großen Textkorpora semantische Relationen automatisch extrahiert. Den Kern des Verfahrens bildet die Iteration von Suchschritt und Verifikationsschritt, in denen in gesuchter Relation stehende Wörter gefunden und überprüft werden. Auf diese Weise ist es möglich, mit wenigen bekannten Wörtern eine große Anzahl in derselben Relation stehende Wörter zu gewinnen. So können mit wenig Aufwand große Listen von Wörtern erstellt werden, die in einem semantischen Zusammenhang stehen. Nach der Skizzierung des Algorithmus werden theoretische Vorhersagen bezüglich der für das Verfahren geeigneten Relationen getroffen, sowie der Ablauf modelliert. Einige mit einer Implementierung des Verfahrens erzielten Ergebnisse werden für verschiedene semantische Relationen vorgestellt, evaluiert und diskutiert, desweiteren werden Ausblicke und Verbesserungsmöglichkeiten angegeben. Schließlich wird eine Anwendung des Verfahrens vorgestellt, die im Rahmen des Projekt Deutscher Wortschatz in Zeitungsartikeln Personnennamen mit zugehörigen Berufsbezeichnungen markiert.

The World Wide Web is the most important information space in the world. With the change of the web during the last decade, today’sWeb 2.0 offers everybody the possibility to easily publish information on the web. For instance, everyone can have his own blog, write Wikipedia articles, publish photos on Flickr or post status messages via Twitter. All these services on the web offer users all around the world the opportunity to interchange information and interconnect themselves with other users. However, the information, as it is usually published today, does not offer enough semantics to be machine-processable. As an example, Wikipedia articles are created using the lightweight Wiki markup language and then published as HyperText Markup Language (HTML) files whose semantics can easily be captured by humans, but not machines.

Digital gespeicherte Daten erfreuen sich einer stetig steigenden Verwendung. Insbesondere die computerbasierte Kommunikation über E-Mail, SMS, Messenger usw. hat klassische Kommunikationsmittel nahezu vollständig verdrängt. Einen Mehrwert aus diesen Daten zu generieren, ist sowohl im geschäftlichen als auch im privaten Bereich von entscheidender Bedeutung. Eine Möglichkeit den Nutzer zu unterstützen ist es, seine textuellen Daten umfassend zu analysieren und bestimmte Elemente hervorzuheben und ihm die Erstellung von Einträgen für Kalender, Adressbuch und dergleichen abzunehmen bzw. zumindest vorzubereiten. Eine weitere Möglichkeit stellt die semantische Suche in den Daten des Nutzers dar. Selbst mit Volltextsuche muss man bisher den genauen Wortlaut kennen, wenn man eine bestimmte Information sucht. Durch ein tiefgreifendes Verständnis für Zeit ist es nun aber möglich, über einen Zeitstrahl alle mit einem bestimmten Zeitpunkt oder einer Zeitspanne verknüpften Daten zu finden. Es existieren bereits viele Ansätze um Named Entity Recognition voll- bzw. semi-automatisch durchzuführen, aber insbesondere Verfahren, welche weitgehend sprachunabhängig arbeiten und sich somit leicht auf viele Sprachen skalieren lassen, sind kaum publiziert. Um ein solches Verfahren für natürlichsprachige Zeitausdrücke zu verbessern, werden in dieser Arbeit, basierend auf umfangreichen Analysen, Möglichkeiten vorgestellt. Es wird speziell eine Strategie entwickelt, die auf einem Verfahren des maschinellen Lernens beruht und so den manuellen Aufwand für die Unterstützung neuer Sprachen reduziert. Diese und weitere Strategien wurden implementiert und in die bestehende Architektur der Zeiterkennungsmaschine der ExB-Gruppe integriert.

This diploma theses deals with attempts to declare independent states, namely in the case of the Republic of Azawad, Logone and Boko Haram caliphate, which originated between 2012 and 2015. Today, the existence of deviant forms of the state is nothing new, so there are many concepts and classifications that relate to this issue. For this theses will be the significant particular concept of states-within-states by Ian Spears and Paul Kingston and the classification by Bartosz Stanislawski, extended by authors Katarzyn Pełczyńska-Nałęc, Krzysztof Strachot and Maciej Falkowski. The subsequent description of the causes, the way of dominating the area and the events after the declaration of the independent state itself in the individual case studies will lead to a analysis of the way in which the area is administrated or the newly established institutions. Due to this analysis, it will be able to apply the states-within-states concept and Bartosz Stanislawki's classification and then determine whether this application is possible in all three cases. The last part of the work, which should confirm or disapprove the main hypothesis of the work, will then be used to evaluate whether the specific attempts are rather effective or ephemeral projects.

1 Modellierung im allgemeinen und in der Informatik - 2 Das Entity-Relationship-Modell - 3 Das Relationenmodell

The topic of this Master's thesis is the liability of legal entities for administrative delicts. With the adoption of the act number 250/2016, on the liability for administrative delicts and the proceedings on them, a legal regulation regulating administrative delicts and misdemeanours was unified under a single category of administrative delicts. This act newly regulates the administrative liability of legal entities. The aim of this thesis is to analyse individual factors of liability of legal entities for administrative delicts. The first chapter outlines the historical development of the administrative liability of legal entities from antiquity to the current legal regulation with a focus on the development of this legislation in our country after the year 1918. The chapter concludes with the reform of administrative punishment. The second chapter offers a brief discussion of the sources of legal regulation of liability for administrative delicts. The third chapter focuses solely on the concept of a legal person from the point of view of the Civil Code and of the term administrative delict, its material and formal aspect. The fourth chapter deals with the basics of liability of a legal entity for a delict. It focuses on the conditions under which a legal entity is the perpetrator of a delict....

The aim of the diploma thesis is to define presumptions of the criminal liability of healthcare providers and answer the question in which circumstances and under what conditions can healthcare providers can be criminal liable. The diploma thesis is divided into nine chapters. The first chapter deals with legal entities, particularly their history and definition in Czech legal order. In second chapter I envisage with the basic medical law terms importing in relation with the subject of the diploma thesis, especially I mentioned health related services, healthcare, services to promote and maintain health, healthcare provider and patient. In the third chapter I define in general the fundamental types of legal liability in the health care sector and in the subchapter I analyse the institute of the informed consent, which is in my opinion an important aspect in defining legal liability in healthcare. Further in the fourth chapter I focus specifically on criminal liability, which I first define as such, including the individual circumstances that exclude unlawfulness, then I deal with the criminal liability of legal entity and its possible criminal conduct in relation with the provision of healthcare. I also analyze the terms of lege artis and vitium artis procedure, which are usually the necessary...

Living in the age of "Big Data" is both a blessing and a curse. On he one hand, the raw data can be analysed and then used for weather redictions, user recommendations, targeted advertising and more. On he other hand, when data is aggregated from multiple sources, there is no guarantee that each source has stored the data in a standardized or even compatible format to what is required by the application. So there is a need to parse the available data and convert it to the desired form. Here is where the problems start to arise: often the correspondences are not quite so straightforward between data instances that belong to the same domain, but come from different sources. For example, in the film industry, information about movies (cast, characters, ratings etc.) can be found on numerous websites such as IMDb or Rotten Tomatoes. Finding and matching all the data referring to the same movie is a challenge. The aim of this project is to select the most efficient algorithm to correlate movie related information gathered from various websites automatically. We have implemented a flexible application that allows us to make the performance comparison of multiple algorithms based on machine learning techniques. According to our experimental results, a well chosen set of rules is on par with the results from a neural network, these two proving to be the most effective classifiers for records with movie information as content.