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This Bachelor thesis deals with connected systems consisting of a multitude of similar electronic devices
(often referred to as agents) endowed with information processing abilities. It is required that these socalled multi-agent systems solve a certain task with a high reliability, while the individual components
are not able to solve the problem on their own in a satisfying manner. A central control unit can not or
shall not be used in such systems for a variety of different reasons: For example, a significant drawback of
a central control unit is the vulnerability of the system. If the central control unit fails, the whole system breaks down. Therefore, multi-agent systems require special algorithms enabling the agents to solve a
common, global problem in a suitable manner by local interaction only.
In this thesis distributed algorithms are investigated which can be used for distributed information pro-cessing and control of such multi-agent systems. In the first part of this work, it is assumed that each
agent posses a private information state about a common parameter of interest. The described consensus algorithm enables all agents to reach a system-wide identical information state by local information
exchanges only. Subsequently, it is considered the case that every agent has access to streaming data containing information about an a priori unknown parameter. The diffusion strategy described in the second
part enables the agents to estimate this parameter and to minimize a global cost function which depends
on it. Both algorithms are described in a general framework and can therefore be applied to a variety of
different problems. One application of these strategies, which is described in the third part of this work,
is the simulation of swarming behavior.
The number of Internet of Things (IoT) devices is increasing rapidly. The Trustless Incentivized Remote Node Network, in short IN3 (Incubed), enables trustworthy and fast access to a blockchain for a large number of low-performance IoT devices. Although currently IN3 only supports the verification of Ethereum data, it is not limited to one blockchain due to modularity. This thesis describes the fundamentals, the concept and the implementation of the Bitcoin verification in IN3.
Purpose: This study addresses issues of occupational mental health among nurses. Factors such as linking role, work and social factors, stress, burnout, depression, absenteeism and the intention of turnover, guides the research. The purpose of this research paper therefore looks forward to answer the question "How to measure the extent at which nurses experience symptoms or risk of depression through various factors such as individual or demographic factors, emotional exhaustion and stressful working situations?"
Design: Data were collected from 9 nurses working for major hospitals located in Germany, Baden-Württemberg (Mannheim and Heidelberg), Bremen, Ukraine and Ghana.
Methods: The design and method utilized in the qualitative and quantitative research methods is a survey, which consists of a questionnaire and biographical Interviews.
Questionnaire was used to collect data, which included demographic and job characte-ristics, job-related stress, emotional labor, and depressive symptoms The PHQ-9, serves to measure the depressive symptoms of the participants and serves as an instrument to back up the Interviews conducted. The questionnaire was evaluated with the SPSS version 21.0. Descriptive statistics, correlations, and frequency were used to analyze and evaluate the data.
Results: The study found out that all the participants who took part in this survey are depressed ranging from minimal to moderate depression. The questionnaire detected approximately 20% of the participants being minimal depressed, 40%, mild depressed and 30% moderate depressed. The composed questions targeted on factors like Occupational Stress and Work strain with factors as well as recognition and appreciation from patients and organization. 77, 80% admitted, they have no recognition and appreciation from colleagues and patients. 44,40% turned out to be very stressed up with
their daily work routine and the other 55,60% finds it only stressful .100% turned out to find Labor disturbances as a stress factor. All the participants are not pleased with their salary which leads to Job dissatisfaction.
Conclusion: The results show that it is necessary to implement programs for nurses to help reduce job-related stress, Preventive and suitable methods should be considered to reduce mental strain before depression manifest itself.
Clinical Relevance: Introducing programs that may help nurses and its organization is the work of Human resource management in nursing organization. Nursing administrators have to understand that, the rate at which nurses have to work and deal with other stressful situations might cause them to suffer depressive symptoms. In other to help this situation, they can aspire to enhance stressful work conditions, develop programs
that subdue job related stress and minimize the expectations of depressive symptoms.
This thesis was written in order to prove the expediency of startup ecosystem support and to develop practical recommendations for Belarusian government based on the analysis of successful practices in the U.S. and Lithuania.
It covers the essence of a “startup company” and a “startup ecosystem” as well as provides the analysis of socioeconomic impact of startup companies with particular focus on job creation. It sheds light on the best startup support policies in the U.S., where most prominent startup ecosystems are operating, and Lithuania as a country with similar to Belarusian preconditions and a rapidly
developing ecosystem. Furthermore, this paper deals with Belarus‘s peculiarities regarding fostering startup ecosystem growth. It assesses recent economic development of Belarusian IT sector and gives an insight into its competitive advantages and challenges.
The subsequent paper is based on internet research using articles, presentations, reports and studies, websites and official legal documents.
This Bachelor thesis provides an experimental validation of the “si-Fi” software, which was designed for RNAi off-target searches and silencing efficiency predictions. The experimental approach is based on using synthetic DNA as RNAi-target as well as RNAi-trigger sequence. The data was generated by two different types of experiments using a transient gene silencing system in bombarded barley epidermal cells. The efficiency of RNAi was estimated by scoring the effect of silencing of the susceptibility-related gene Mlo on resistance of transformed cells to the powdery mildew fungus Blumeria graminis f. sp. hordei by observing reduction of fluorescent signals coming from an RNAi target fused to the green fluorescent protein. The aim of this work was a comparison between in silicio prediction of RNAi efficiency and off-target effects in barley and experimental data.
This paper examines the communication channels used by innovation projects at the ProtoSpace Hamburg, when engaging with stakeholders, and tries to answer the thesis question whether new media channels improve the chances of success for innovation projects, when used for this communication. Expert interviews with eight experts in com-munication, innovation and stakeholder management were conducted and then analyzed through the application of Mayring´s qualitative content analysis, in order to answer the posed question.
Aminoacyl-tRNA synthetases (aaRSs) are key enzymes in the process of protein biosynthesis, charging tRNA molecules with their corresponding amino acid. Whereas adenosine phosphate fixation is common to all aaRSs, recognition of the respective amino acid to ensure correct translation poses a complex task, which is still not understood to its full extent. Using all aaRS structures in the Protein Data Bank (PDB), this thesis reveals further details about the specificitydetermining interactions of each aaRS. Moreover, inspection of the similarities between these enzymes using the structure-derived interaction data reinforces the sequence-based evolutionary trace of aaRSs to a certain degree: The concurrent development of two distinct Classes of aaRS is apparent at functional level, and previously determined evolutionary subclasses coincide altogether with specific aminoacyl recognition in each aaRS Type. Still, discrimination of amino acids in aaRSs involves a multitude of further relevant mechanisms. Eventually, analysis of specificity-relevant binding site interactions sheds light on how aaRS evolved to distinguish different amino acids.
This thesis provides an overview of Generation Z with a focus on Mittweida University of Applied Sciences students. It explores the general issues of students' behavior in life, as well as their attitudes toward the financial and banking sectors. It also examines the German banking market, its strengths and weaknesses in attracting new clients. At the end, possible strategies for the development of the bank in terms of attractiveness for young people are provided.