Refine
Document Type
- Master's Thesis (10)
- Bachelor Thesis (8)
- Diploma Thesis (1)
Year of publication
- 2018 (19) (remove)
Language
- English (19) (remove)
Keywords
- Unternehmen (3)
- Vektorquantisierung (2)
- Algorithmus (1)
- Ausländer (1)
- Bruchmechanik (1)
- Bruchzähigkeit (1)
- Cluster-Analyse (1)
- Datenbank (1)
- Deutschland (1)
- Forschung (1)
Community acquired pneumonia (CAP) is a very common, yet infectious and sometimes lethal disease. Therefor, this disease is connected to high costs of diagnosis and treatment. To actually reduce the costs for health care in this matter, diagnosis and treatment must get cheaper to conduct with no loss in predictive accuracy. One effective way in doing so would be the identification of easy detectable and highly specific transcriptomic markers, which would reduce the amount of work required for laboratory tests by possibly enhanced diagnosis capability.
Transcriptomic whole blood data, derived from the PROGRESS study was combined with several documented features like age, smoking status or the SOFA score. The analysis pipeline included processing by self organizing maps for dimensionality and noise reduction, as well as diffusion pseudotime (DPT). Pseudotime enabled modelling a disease run of CAP, where each sample represented a state/time in the modelled run. Both methods combined resulted in a proposed disease run of CAP, described by 1476 marker genes. The additional conduction of a geneset analysis also provided information about the immune related functions of these marker genes.
In the context of globalization and the internationalization of international markets, mergers and acquisitions are becoming increasingly important for transnational corporations and national economies of countries as a form of internationalization, integration and the way to attract foreign investment. In the framework of this paper, the theoretical aspects of mergers and acquisitions have been analyzed, and the experience of Germany, China and Russia in attracting investments through mergers and acquisitions has been examined, and the success of this method for each country has been assessed.
Internationalization and business expansion appear to be the most challenging processes in business conduction today. Every step of the foreign market entry process and overseas operations establishment is full of obvious risks and hidden pitfalls. Theoretical background, multiplied with the vital practice, is playing the key role in such a complicated business process; such information can be used as a guideline by further market entrants and players. At present, Germany with its well-developed engineering industry represents a broad space for research of internationalization process in its different forms, as well as can show both successful and negative results of foreign market entries.
This thesis work is focusing on the optimization and improvement of IP network and IP transit operations and strategy as well as service offerings. Therefore, this thesis tries to give suggestions at different areas of engineering, business, strategy and operational contexts. This thesis is written in English, as this topic itself is mainly handled in English language too. The first part will try to identify and evaluate methods which are helpful to improve the practical work which will be focused in the second part of this work.
Object detection and classification is active field of research inmachine learning and computervision. Depending on the application there are different limitations to adjust to, but also possibilities to take advantage of. In my thesis, We focus on classification and detection of video sequence during night-time and the proposed method is robust since it does use image thresholding [8] which is commonly use in other methods and the thesis uses histograms of oriented gradients (HOG) [37] as features and support vector machine (SVM) [74] as classifier. It is of great importance that the extracted features from the images should be robust and distinct enough to help the classifier distinguish between high-beam and a low-beam. The classifier is part of the object detection which predicts whether or not a testing image matches one group or the other. In our case that is predicting whether or not an image belongs to high or low-beam sequence.
This bachelor thesis examines two main topics: Corporate Social Responsibility and Corporate Philanthropy as an integral part of it. It was written in order to prove the high importance of business philanthropy in today’s global market and to encourage companies to strengthen their CSR policy so as to contribute to the resolution of social problems. This paper reviews the theoretical framework of CSR, its evolution, types and theories relating to Corporate Philanthropy. Also it represents a comparative analysis of successful practices of corporate philanthropy in pharmaceutical and other global industries predominantly in Europe and USA. This work underlines competitive advantages and important socio-economic impact of CP and suggest recommendations for companies in developing their CSR activities. The subsequent paper is based on internet research using articles, presentations, reports and studies, websites and official legal documents.
This thesis focuses on the introduction of a process for the fracture toughness testing of epoxy resin systems, in the light of the linear elastic fracture mechanic approach. Based on the requirements of ISO 13586, SENB-specimen were designed and especially the precracking process was analysed and the tapping process was optimized by designing and testing a drop-weight device. After successful validating the test process using specimen made of Araldite LY556, the in uence of GNP loading on the fracture toughness was analysed. The pure epoxy showed a KIc of 0.73 MPap
m, being perfectly in line with the manufacturers datasheet. A peak in fracture toughness of 0.83 MPap
m was archived at 1 wt% and a loading rate of 10 mm/min, showing a decreasing trend as the loading is increased further. As the loading rate is increased, the fracture toughness reduces slightly for 0.5 wt% and 2 wt% GNP, but
drops signicantly for 1 wt% GNP obliterating the peak. The load vs. displacement curves showed quasi-brittle material behaviour. The fracture surfaces were analysed using SEM and while the neat resin did not show any features, did the reinforced samples show pattern of crack pinning in connection with bridging and pull-out. The resulting improvement is less signicant as observed by other researchers for larger GNPs. This is in line with the general idea, that small particles are not able to yield as high improvements, but the signicant decrease for higher loading rates is not observed or described so far. It is suspected that tests at lower loading rates (e.g. 1 or 0.5 mm/min) show an even higher fracture toughness.
The subject of the following paper is the mental well-being of employees at their work and how the leader can improve this well-being using positive psychology. The paper is compilatory in nature because it uses research and literature of experts to analyse how employee mental well-being can be further stimulated. The expert literature is used to present tools, but also to demonstrate the effectiveness of these tools through real-life case studies and evidence. The paper wishes to inform persons, leaders, and entire organizations how positive psychology can be beneficial to organizational members’ well-being in the long term. Using a compilation of positive psychology literature and reallife case studies’ analysis, the informative purpose of the thesis can be achieved.
In this work, we discuss the key role that “conflict minerals” (Gold, Coltan, Cobalt, Tin, Tungsten) play in global supply chains and high-technology industries, and the issues surrounding their extraction and trade in origin
countries, particularly in the African Congo Basin and the Great Lakes Region. We discuss ongoing international efforts to combat violence, child labour and human rights violations at mineral extraction areas, particularly in the Democratic Republic of the Congo (DRC), where very large mineral reserves have been discovered. We present the OECD Due Diligence Guidance for Responsible Supply Chains of Minerals from Conflict-Affected and High-Risk Areas, and the
GOTS MineralTrace mineral proof-of-origin and trade chain certification solution developed by ibes AG in Germany, which automates and simplifies the implementation of the OECD Guidance. We discuss a pilot project in DRC involving the GOTS GoldTrace application, based on the MineralTrace platform. We point out MineralTrace’s benefits and its limitations. We analyse possible solutions to said limitations, including an analysis of blockchain-based transactional information exchange and record keeping systems, and finally we propose a new MineralTrace Application Programming Interface (API) that solves current limitations, introduces configuration flexibility for client applications, introduces workflow flexibility to adapt MineralTrace to any country or region, and simplifies data export functionality.
Soft Learning Vector Quantisation (SLVQ) andRobust Soft Learning Vector Quantisation (RSLVQ) are supervised data classification methods, that have been applied successfully to real world classification problems. The performance of SLVQ and RSLVQ, however, reduces, when they are applied tomore complicated classification problems. In this thesis, we have introducedmodi-fications to SLVQand RSLVQ, in order to havemore capable versions of them. A few possibilities to modify SLVQ and RSLVQ are considered, some of them are not successful enough and they have been included for the sake of completeness. The fruits of the thesis are plenty, including Tangent Soft Learning Vector Quantisation-Strong (TSLVQ-S), together with its more stable version Tangent Robust Soft Learning Vector Quantisation-Strong (TRSLVQ-S), Attraction Soft Learning Vector Quantisation (ASLVQ) and Grassmannian Soft Learning Vector Quantisation (GSLVQ).