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The aim of this bachelor thesis is to investigate how cultural differences of countries can be used to make assumptions on what kind of financial product might be the most efficient one based on the culture of a country. By using re-search that is trying to explain market performance differences and consumer behavior differences based on culture of a country. This thesis is trying to link those researches in order to create a cultural assessment framework that can be used to make predictions about a country
Natural Language Processing (NLP) is a wide area in computer science and software engineering that finds its application not only in such fields as machine learning or artificial intelligence, but also has very quickly become a very popular solution to various questions and issues raised in the academic field. Those issues include information classification, text analysis, performing a so-called “smart search”, information grouping, providing feedback to academic papers, and many more. The application designed and implemented for this thesis targets solving a similar problem, which is described in details below.
The faculty of Physical Engineering and Informatics at the Westsächsische Hochschule Zwickau uses a software tool called “Quest”. The “Quest” serves as an online platform that enables students to ask questions regarding the module material introduced by the teaching professors. The professors can use these questions in order to keep track of the topics rising the most amount of uncertainty, as well as to clarify those questions during the lectures. Since the modules repeat over time, similar or identical questions are frequently asked by students.
The current functionality of the “Quest” tool, however, does not provide grouping or clustering questions with a similar content into one category. The reason why this is important is because in the future phases of the improvement of the functionality of the “Quest”, professors want to be able to link similar questions with a learning material or online resources that the students can benefit from. This, however, is only possible when each incoming question is labeled with a certain category, and all previously inputted questions associated with this category become visible through the UI of the tool. That would allow students to review the questions referring to the same category that were previously asked by others, as well as to get access to the study materials or resources associated with that category.
The functionality described above would significantly improve the study process and therefore a solution to this problem is needed. One way to solve this issue would be to perform a manual classification of existing questions into associated categories, which given the large size of the question database would be quite time- and effort-consuming. Another option would be to build an application that would be able to analyze the existing dataset of questions and, with the help of the NLP techniques, classify new questions asked by students and identify the similar ones from an existing database.
The tool implemented for the above-mentioned purposes aims to serve as text analytics and classification application that would be able to find and categorize similar text and questions provided by students and/or professors at the Westsächsische Hochschule Zwickau.
This bachelor thesis demonstrates the process of building a software tool using certain NLP techniques, such as tokenization, model training, categorization, NER (Named Entity Recognition), and POS (Parts of Speech tagging), which are defined and described in Chapter 2: “Literature Overview”. The relevance of these techniques in terms of the classification tool built in the context of this thesis is discussed in the section “Selection of NLP tools and techniques” of the “Methodology” chapter.
The aim of this thesis is to describe the methods and software tools used to develop a restful API for text classification, as well as to compare and analyze the effectiveness of two common NLP classifiers – the Naïve Bayes and Logistic Regression (Entropy Model) algorithms.
This bachelor thesis is about the development and design of the suture-based HeartStitch MR device for functional restoration of the mitral valve when a mitral regurgitation is present. The mitral valve is one of the four existing heart valves and due to their load, the mitral valve is most commonly affected by valve defects. In case of a mitral regurgitation, the leaflets of the mitral valve are not closing tight enough, which causes a reflux of the oxygenated blood from the left ventricle into the left atrium. As consequence, the human body won't be sufficiently supplied with oxygen anymore, which results in a disproportionate cardiac output. Untreated, this can lead to respiratory dis-tress, cardiac arrhythmias and stroke or even to death. In this case, a heart surgery is essential to improve the patient
In dieser Arbeit werden interkulturelle Konflikte zwischen Amerikanern und Chinesen im Unternehmensalltag untersucht. Ziel der Arbeit ist es herauszufinden welche Konfliktlösungsstile Chinesen im Konflikt anwenden.
In this project we develop an intelligent water meter based on software solutions offered by the IOTA Foundation. The water meter allows the customer to map water usage in real-time and pay water on demand, as well as the water provider to map water usage on a greater scale, regulate water supply during low- demand phases and offers regulatory functions to prepare for drought or humid climate, and to incentivise sustainable water usage in high-demand fields like agriculture. This functionality is phrased into a research issue:
Invention of a working prototype to demonstrate the IOTA Streams and Wallet protocols for a meter with additional focus on economic efficiency and the technical preparation of scalability.
Utilizing the IOTA streams protocol, a next generation secure data connection is established between the water meter and a server-sided software application. On this connection, water consumption is mapped into a data bench, and informative data and commands are issued to the graphical interface of the meter.
The IOTA wallet library is leveraged to provide customer accounts corresponding to their meter. IOTA tokens can be send to the account, which grants access to water in a matter of seconds. Depending on the regulatory scenario, water flow can be stopped as soon as the account is exhausted (i.e. public well), or an overdraw can be established in order to guarantee fulfilment of basic human rights (i.e. private households).
Since pricing data can be calculated server-sided and water consumption is mapped in very narrow intervals of as low as 4 seconds, the price can be used as tool to regulate consumption.
The physical components include an electrical ball valve to shut down water flow automatically, a command line interface to provide informative data,, a Raspberry Pi running the client-sided software application, and a water meter with MBus-Interface, as well as a Controlling Board to connect the Raspberry Pi with both peripheral devices.
The finished prototype shows, that water consumption can be mapped on a highly secure level, in near real-time, from afar, flexible for most applications.
Morality confronts us in our daily life. Sometimes people do not act the way we would have expected it. One of the biggest culture differences can be found between China and Germany. A lot of foreigners try to make business in the more and more economic important becoming country. A lot of them fail, because of not knowing how to act in certain circumstances. Furthermore, some situations are happening which one would not expected. Everyone got influenced by media about China. But is everything true about it? Most of the journalists are from western countries and they decide what is right and what wrong dependent from their origin. We call such a situation ethnocentrism. It means, that one judges dependent on ones ethnical norms one raised up with and that these norms are basis of valuation on other cultures (Schubert, 2011). While I was in China, I experienced a lot moral misunderstandings. I found out that especially foreign companies do have huge problems in that term because they use their - grown up morality- in China which is not working. This paper explains moral inequalities and helps companies to act differently in consideration of a very important topic such as payment morality.
China is planning to rebuild the ancient Silk Road into a modern infrastructre network, spanning Asia, Central Asia and Europe. The investements are high and are not paying off. This thesis is exploring the political reasons for China's plans and the impact the initiative has on the Chinese-Kazakh relationship.
The leading question, which political system is better suited for an emerging economy with a large population to ensure an effective climate protection, builds the nucleus of this thesis. The People's Republic of China and the Republic of India, which share similar demographic conditions and represent an autocratic and a democratic form of government, are compared in terms of the formulation and implementation of climate protection strategies and measures to draw conclusions about the characteristics of the respective systems.
China has become one of the largest economies world wide. While China itself used to receive huge amounts of FDI or aid from developed countries, it is now in the position to support less developed coutries. Cambodia is an example for such an LDC which is strongly supported through development aid and investments from China. This thesis analyses the unique advantages this country is offering to China. In addition, this thesis is trying to evaluate whether both participating countries equally benefit from this partnership.
An omnipresent topic in the economic news of the current year 2018 were the
developments regarding the smoldering trade dispute between the USA and China.
Within short periods of time, a downright exchange of strikes between the
administrations of the two countries evolved, with the President of the USA, Donald
Trump, in particular, pithily announcing to China an increasingly serious threat of
sanctions. Although the Chinese side was noticeably striving to de-escalate the verbal
dispute, it also presented a series of sanctions which were described in the relevant
press as so-called retaliatory tariffs.
The reason behind this diplomatic duel, however, has substance. It is evident that the
USA and China share an exceptional status with regard to economic fundamentals.
The US has the largest international trade deficit of US$ 375.2 billion vis-à-vis China.
China, on the other hand, is by far the largest creditor of the USA on an international
scale and currently holds around US$ 1.2 trillion in government bonds. Accordingly,
China exerts a major economic influence over the USA. This objective situation
opposes the subjective self-reflection of the government under President Trump, which
hardly misses an opportunity to operate on an international level with the help of
supposed deals according to the credo "America first".