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Institute
This master thesis investigates a new method for the feature extraction of gray scale images, the so called „Non-Euclidean Principal Component Analysis“ 1. Thereby the standard inner product of the Euclidean space is substituted by a semi inner product in the well known learning rule of Oja and Sanger. The new method is compared with the standard principal component analysis (PCA) by extracting features (feature vectors) of different databases with class labels and judged regarding the accuracies of „Border Sensitive Generalized Learning Vector Quantization“ (BSGLVQ), „Feed Forward Neural Networks“ (FFNN) and the „Support Vector Machines“ (SVM).
This study shows the potential for the make-or-buy theory in several scenarios – production, assembling and development. The evaluation of these possibilities is conducted, based on Bosch’s core competencies. A decision model is developed to support the decision making process. Based on these results, the serial production at RBAC in China is planned and suggestions for setting up the assembly line are given
In this work a novelty detection framework provided by M. Filippone and G. Sanguinetti is considered, which is useful especially when only few training samples are available. It is restricted to Gaussian mixture models and makes use of information theory, applying the Kullback-Leibler divergence. In this work two variations of the framework are presented, applying the symmetric Hellinger divergence and a statistical likelihood approach.
For the first time it was discovered that ultraviolet radiation with a wavelength of 200 to 400 nm (maximum 365 nm) radiated from a distance of 40 cm (intensity: 3500 mW/cm²) to PMMA altered its surface wettability as well as a roughness at the nanoscale that was observed with an atomic force microscope (AFM). The roughness rises and falls again in a short time ( 1-2days ) after 75 min and 180 min irradiation time. However , during the next 10 days roughness became stabilized and there was no influence of UV if PMMA was stored in air or in a Petri dish out of glass.
PICC Modulation Analysis
(2014)
This diploma thesis discusses interoperability problems between certified RFID readers and transponders based on the ISO/IEC14443 standardand the root cause for them.
The main goal is the definition of new test methodsand parameters that can supplement the existing test regime for such systems and allowthe identification of those problems beforehand.
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.
The purpose of this study was to investigate the effects of provocative marketing strategies of different companies in the fashion industry in the first part. The thesis emphasizes on various strategies used by several firms. Furthermore it demonstrates the
different modes of provocation and also the process of a marketing strategy. The second part highlights the opportunities and risks of provocative marketing strategies based on American Apparel.
As widely discussed in literature spatial patterns of amino acids, so-called structural motifs, play an important role in protein function. The functional responsible part of a protein often lies in an evolutionary highly conserved spatial arrangement of only few amino acids, which are held in place tightly by the rest of the structure. In general, these motifs can mediate various functional interactions, such as DNA/RNA targeting and binding, ligand interactions, substrate catalysis, and stabilization of the protein structure.
Hence, characterizing and identifying such conserved structural motifs can contribute to understanding of structurefunction relationships in diverse protein families. Therefore and because of the rapidly increasing number of solved protein structures, it is highly desirable to identify, understand and moreover to search for structural scattered amino acid motifs. The aim of this work was the development and the implementation of a matching algorithm to search for such small structural motifs in large sets of target structures. Furthermore, motif matches were extensively analyzed, statistically assessed and functionally classified. Following a novel approach, hierarchical clustering was combined with functional classification and used to deduce evolutionary structure-function relationships. The proposed methods were combined and implemented to a feature-rich and easy-to-use command line software tool, which is freely available and contributes to the field of structural bioinformatic research.
Protein structures are essential elements in every biological system evolved on earth, where they function as stabilizing elements, signaltransducers or replication machin eries. They are consisting of linear-bonded amino acids, which determine the three-dimensional structure of the protein, whereas the structure in turn determines the function. The native and biological active structure ofa protein can be understood as the folding state of a polypeptide chain at the global minimum of free energy.
By means of protein energy profiling, which is an approach derived from statistical physics it is possible to assign a so called energy profile to a protein structure. Such an energy profile describes the local energetic interaction features of every amino acid within the structure and introduces an energetic point of view, instead of a structural or sequential onto proteins.
This work aims to give a perspective to the question of how we may gain pattern information out of energy profiles. The concrete subjects are energy-mapped Pfam family alignments and investigations on finding motifs or patterns indiscretizised energy profile segments.
Proteins are involved in almost every aspect of life, mediating a wide range of cellular tasks. The protein sequence dictates the spatial arrangement of the residues and thus ultimately the function of a rotein. Huge effort is put into cumbersome structure eludication experiments which obtain models describing the observed spatial conformation of a protein, enabling users to predict their function, to understand their mode of action or to design tailored drugs to cure disease caused by misfolded or misregulated proteins.
However, the result of structure determination experiments are merely models of reality, made under simplifying assumptions - sometimes containing major undetected errors. On the other hand, such experiments are resource demanding and they cannot supply the actual demand.
Thus, scientists are predicting the structure of proteins in silico, resulting in models that are even
more prone to error.
In consequence, the structure biologists search after a practicable definition of structure quality and over the last two decades several model quality assessment programs emerged, measuring the local and global quality of peculiar structures. Seven representatives were studied, regarding the paradigms they follow and the features they use to describe the quality of residues. Their predications were compared, showing that there is almost no common ground among the tools.
Is there a way to combine their statements anyway?
Finally, the accumulated knowledge was used to design a novel evaluation tool, addressing problems previously spotted. Thereby, high quality of its predication as well as superior usability was
key. The strategy was compared to existing approaches and evaluated on suitable datasets.
Die vorliegende Arbeit befasst sich mit der Analyse der kritischen Erfolgsfaktoren für die Zulassung europäischer Industrieprodukte in Indien, anhand eines europäisch entwickelten und produzierten Produktes für die indische Rolling Stock Industrie. Die dabei berücksichtigen Themenschwerpunkte, die im Detail betrachtet sind über: Welche Standards werden derzeit in Indien bzw. in Europa offiziell für den Zulassungsprozess herangezogen? Aktuelle Situation erfassen. Vergleich der technischen Zulassung Standards zwischen IR (Indischen Railway) Standards und
The almost complete transcription of the human genome yield in a high number of transcripts, that do not encode proteins. However, the functional elucidation of especially long non cod-ing RNAs is still difficult. Secondary structure analysis is assumed to be a possible method to detect functional relationships of lncRNAs on a large scale, but it is still time consuming and error-prone. GRAPHCLUST, the currently most suitable clustering tool based on RNA secondary structure analysis, lacks mainly in an efficient method for the interpretation of its results. Hence, an independent and interactive RNA clustering interpretation tool was developed to allow visu-alisation and an efficient analysis of RNA clustering results.