The main objective of this diploma thesis is to simulate the regular decision-making process that a credit analyst goes through when assigning a credit limit for an operating and investment (acquisition) loan for a selected company. The introductory chapter is focused on credit risk category definition and description of main credit risk quantification and mitigation approaches both on individual as well as portfolio basis. The second, practically oriented part includes both financial and strategic analysis of selected business entity, as well as free cash flow prediction followed up by business plan development, all of these carried out in the form of basic analytical tools necessary for credit limit assignments to both short term operating and long term investment (acquisition) loans. In the final part, the selected company is being evaluated using DCF Entity business valuation framework as well as being subject to comparable companies and transactions general valuation approach. Finally, the credit limits for an operating and investment (acquisition) loans are being determined based on the analytical tools drafted within the previous chapters of this thesis.

Publicly editable knowledge bases such as Wikipedia and Wikidata have over the years grown tremendously in size. Despite the quick growth, they can never be fully complete due to the continuous stream of events happening in the world. In the task of Entity Linking, it is attempted to link mentions of objects in a document to its respective corresponding entries in a knowledge base. However, due to the incompleteness of knowledge bases, new or emerging entities cannot be linked. Attempts to solve this issue have created the field referred to as Emerging Entities. Recent state-of-the-art work has addressed the issue with promising results in English. In this thesis, the previous work is examined by evaluating its method in the context of a much smaller language; Swedish. The results reveal an expected drop in overall performance although remaining relative competitiveness. This indicates that the method is a feasible approach to the problem of Emerging Entities even for much less used languages. Due to limitations in the scope of the related work, this thesis also suggests a method for evaluating the accuracy of how the Emerging Entities are modeled in a knowledge base. The study also provides a comprehensive look into the landscape of Emerging Entities and suggests further improvements.

Criminal Liability of Legal Entities in Health Care Abstract The submitted diploma thesis deals with the institute of criminal liability of legal entities in health care. The main objective of this thesis is to define all the requirements and essential elements of criminal responsibility of legal persons, especially healthcare providers. We also look into the most critical aspects of providing healthcare services in which a criminal offense may be committed. Concepts of criminal law are considered in the context of medical law. Thesis is divided into five main chapters. The first chapter focuses on conditions of criminal liability taking into account the specifics of the topic. Attention will also be paid to attributability of a crime to a legal person as well as to legal regulation in United Kingdom and France. In the second chapter we describe the most common circumstances excluding illegality in medicine. We particularly focus on medical intervention, research and experiment. These are not only accepted but also beneficial. The third chapter deals with the main concepts of medical law. If healthcare providers comply with related legal provisions, they significantly reduce the risk of committing an act against the law. Special emphasis is placed on lege artis procedure as an objective measurement of...

Criminal proceedings against legal entities Abstract Regarding the character of a legal entity as a fiction, criminal proceedings against legal entities differ in many ways in comparison with standard criminal proceedings against a natural person. The aim of this work is to analyze certain specific institutes, whose interpretation and application is problematic with respect to the interweaving of the procedural regulation contained in Act No. 418/2011 Coll. on penal liability of legal entities and proceedings against them, with the classic regulation contained in the Criminal Procedure Act. This thesis is divided into two main parts. The theoretical one, which serves as the introduction of the whole work, briefly discusses traditional topics related to the substance of penal liability of legal entities, i.e. reasons for its adoption, its concept, its sources and legislation, including their ongoing changes. The merit of the work is, however, its special part, which in six chapters deals with specific institutes and issues of criminal proceedings against legal entities. Gradually, in the special part of this thesis, the issue of the representation of a legal entity in proceedings is analyzed and individual subject that can perform acts on behalf of a legal entity in criminal proceedings are discussed....

Selected Issues of Criminal Proceedings against a Legal Entity Abstract As the name implies, this work deals with selected issues of criminal proceedings against a legal entity. In the presented work, the author aims to draw attention to some difficulties that may arise in criminal proceedings due to the typical nature of legal entities, and to the selected institute of criminal procedural law comparison of the application of principles of criminal proceedings between natural person and legal entities. In fact, the initial problem may be that the current criminal law relating to legal entities is launched briefly. Therefore, this work reflects the current special legislation governing criminal proceedings against legal entities in the sense of Act No. 418/2011 Coll., of criminal liability of legal entities and proceedings against them, applying the relationship of subsidiarity to the general legislation of criminal procedural law, namely Act No. 141/1961 Coll., of Criminal Procedure. At first, the author briefly addresses the question of whether the principles of criminal proceedings apply to criminal proceedings against a legal entity. For the purposes of further formulation of this work, the author simultaneously discusses in the first chapter the principle of equality before the law. In other parts of...

Thesis Title: Named Entity Recognition in the Biomedical Domain Named entity recognition (NER) is the task of information extraction that attempts to recognize and extract particular entities in a text. One of the issues that stems from NER is that its models are domain specific. The goal of the thesis is to focus on entities strictly from the biomedical domain. The other issue with NER comes the synonymous terms that may be linked to one entity, moreover they lead to issue of disambiguation of the entities. Due to the popularity of neural networks and their success in NLP tasks, the work should use a neural network architecture for the task of named entity disambiguation, which is described in the paper by Eshel et al [1]. One of the subtasks of the thesis is to map the words and entities to a vector space using word embeddings, which attempts to provide textual context similarity, and coherence [2]. The main output of the thesis will be a model that attempts to disambiguate entities of the biomedical domain, using scientific journals (PubMed and Embase) as the documents of our interest.

An der Verarbeitung natürlicher Sprache durch computerbasierte Systeme wurde immer aktiv entwickelt und geforscht, um Aufgaben in den am weitesten verbreiteten Sprachen zu lösen. In dieser Arbeit werden verschiedene Ansätze zur Lösung von Problemen in diesem Bereich mittels künstlicher neuronaler Netze beschrieben. Dabei konzentriert sich diese Arbeit hauptsächlich auf modernere Architekturen wie Transformatoren oder BERT. Ziel dabei ist es, diese besser zu verstehen und herauszufinden, welche Vorteile sie gegenüber herkömmlichen künstlichen neuronalen Netzwerken haben. Anschließend wird dieses erlangte Wissen an einer Aufgabe aus dem Bereich der Verarbeitung natürlicher Sprache getestet, in welcher mittels einer sogenannten Named Entity Recognition (NER) spezielle Informationen aus Texten extrahiert werden.:1 Einleitung 1.1 Verarbeitung natürlicher Sprache (NLP) 1.2 Neuronale Netze 1.2.1 Biologischer Hintergrund 1.3 Aufbau der Arbeit 2 Grundlagen 2.1 Künstliche neuronale Netze 2.1.1 Arten des Lernens 2.1.2 Aktivierungsfunktionen 2.1.3 Verlustfunktionen 2.1.4 Optimierer 2.1.5 Über- und Unteranpassung 2.1.6 Explodierender und verschwindender Gradient 2.1.7 Optimierungsverfahren 3 Netzwerkarchitekturen zur Verarbeitung natürlicher Sprache 3.1 Rekurrente neuronale Netze (RNN) 3.1.1 Langes Kurzzeitgedächtnis (LSTM) 3.2 Autoencoder 3.3 Transformator 3.3.1 Worteinbettungen 3.3.2 Positionscodierung 3.3.3 Encoderblock 3.3.4 Decoderblock 3.3.5 Grenzen Transformatorarchitektur 3.4 Bidirektionale Encoder-Darstellungen von Transformatoren (BERT) 3.4.1 Vortraining 3.4.2 Feinabstimmung 4 Praktischer Teil und Ergebnisse 4.1 Aufgabe 4.2 Verwendete Bibliotheken, Programmiersprachen und Software 4.2.1 Python 4.2.2 NumPy 4.2.3 pandas 4.2.4 scikit-learn 4.2.5 Tensorflow 4.2.6 Keras 4.2.7 ktrain 4.2.8 Data Version Control (dvc) 4.2.9 FastAPI 4.2.10 Docker 4.2.11 Amazon Web Services 4.3 Daten 4.4 Netzwerkarchitektur 4.5 Training 4.6 Auswertung 4.7 Implementierung 5 Schlussbemerkungen 5.1 Zusammenfassung und Ausblick

The Master’s thesis deals with the proposal of database system for event management according to the requirements of the client, which is ANeT-Advanced Network Technology, Ltd. The first part of the thesis summarizes the theoretical bases of database systems and object-oriented programming focusing on .NET Framework. In the second part the current situation and the specific needs of the company are analyzed, and based on this analysis a solution proposal is created in the third part.

The aim of this work is to find out which algorithm is the best at recognizing named entities in e-mail messages. The theoretical part explains the existing tools in this field. The practical part describes the design of two tools specifically designed to create new models capable of recognizing named entities in e-mail messages. The first tool is based on a neural network and the second tool uses a CRF graph model. The existing and newly created tools and their ability to generalize are compared on a subset of e-mail messages provided by Kiwi.com.

This diploma thesis deals with the realization of a server application for distributed calculations programmed on .NET platform and in C # language in development environment Visual Studio 2015. The diploma thesis is divided into the theoretical and practical part. In the theoretical part, the thesis deals with technologies, which are needed for implementation of the application. Here is how each technology is used and set up to serve the purpose of the master's thesis. In the theoretical part, functionality is shown in the examples. The practical part describes the layout of the application and the functionality of the individual part of the application. The architecture of each part of the application is presented in the UML class diagram.