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The study “Proteomic and systems biological database analysis of changed proteins from rat brain tissue after diving “ is about system biological testing of proteomic data obtained by rat brain after experimental diving in a pressure chamber. Basically, brain tissue from animal decompression sickness (DCS) was analyzed by mass spectrometry and has given two larger sets of modified proteins. Thereupon, the resulting up- and down-regulated proteins wereidentified and later compared by means of systems of biological databases, in this case GeneGo MetaCoreTM, in order to find similar or various affected cell biological signaling pathways when two different mass-spectrometry methods were compared.
This work examines the impact Web 2.0 has on CRM in journalism. For this purpose the communication strategies of one international, one New Zealand and one exclusively online men’s magazine are compared. Through this comparison changes in the magazines’ approach to CRM are identified and expert interviews with editors give further insight into the dynamic of the evolution CRM and the journalism industry are going through. Finally, the conclusion illuminates the effects this evolution has on CRM in journalism.
Different small molecule kinase inhibitors, which have an influence on cell growth, proliferation and cell survival were tested alone and in combination with Erlotinib in the Erlotinib-resistant non-small cell lung cancer cell line PC-9ER and Cisplatin in the K-Ras mutant cell line H358. The aim was to find out, which combinations produce the best antiproliferative effects in non-small cell lung cancer cell lines.
The larval zebrafish mutant Knörf has got a not yet identified gen, which is lethal after 14 dpf in a homozygous state. The mutation courses various degenerations and the loss of the regeneration ability. One of these degenerations was first discovered in the retina by a histological section. The mutants retinas show gaps in the IPL at 7 and 8 dpf which number increases during the maturation of the larva. In recent studies a pax 6 staining was performed, which showed that amacrine cells areaffected. Different types of amacrine cells were tested and it was shown that the parvalbuminergic amacrine cells disappear. The staining was performed in a time course. At 5 dpf is no difference between the number of parvalbuminergic amacrine cells in siblings and mutants but then the degeneration starts. At 2 dpa there is thefirst significant difference which increases at later stages and leads nearly to a full disappearance of these cells in the eye. Parvalbumin is not only present in the retina, therefore the brain as another central nervous system structure was examined. In the telencephalon these cells disappear already at 2 dpa. The parvalbuminergic cells are also present in the skeletal muscle of the tail. Here the degeneration starts approximately at the half of the tail and intensifies to distal areas. It was shown, that parvalbuminergic cells in the muscle disappear until 4dpa. The role of parvalbumin is seemed in the binding ofcalcium and therefore it supports the adjustment of the resting potential after an excitation in the central nervous system. In muscles it assists in the slowing of relaxing after a contraction of a muscle.
In this work a new method for the prediction of the Xaa-proline (where Xaa is any amino acid) cis/trans isomerization was investigated. By extraction of twelve structural features (real secondary structure, inside/outside classification, properties of the environment around proline and proline itself) a support vector machine (SVM) based prediction approach was evolved. The Java software Xaa-PIPT for structural feature extraction was developed. Based on 4397 (2199 cis and 2198 trans) prolines extracted from non-redundant, globular proteins a classifier was trained using the radial basis function (RBF) kernel. In ten-fold cross-validation it achieved an accuracy of 70.0478 % and a Matthews correlation coefficient (MCC) of 0.4223, a sensitivity of 0.5433 and a specificity of 0.8576. Based on this classifier a lightweight and easy-to-use Java software tool, called m Xaa-PIPT, for the prediction of the Xaa-proline cis/trans isomerization was devel-oped. It was shown that there are correlations between the proline surrounding environment and the isomerization state. m Xaa-PIPT can be used for the evaluation of low-resolution protein structures and theoretical models to improve their quality by the prediction of the Xaa-proline isomerization.
Die vorliegende Arbeit befasst sich mit der Leistungsmessung während der Strategieentwicklung im Bereich des Einkaufs am Beispiel DANIELI Österreich. Das Hauptziel ist es, dass System von Danieli Österreich darzustellen, um ein Verständnis der Leistungsmessung in der Praxis zu generieren. Die draus erworbenen Kenntnisse sollen weiterführend in einer Analyse dazu dienen, um die tatsächlichen Einsparung in diesen Ländern aufzuzeigen. Aufgrund Vorgaben der Geschäftsführung ist DANIELI Österreich gezwungen 20% seines Einkaufsvolumens im ehemaligen Jugoslawien einzukaufen, weshalb Möglichkeiten sowie Risiken in den Ländern Bosnien und Herzegowina, Serbien und Kroatien dargestellt werden, um die Einkaufsstrategie zu optimieren.
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This feasibility study shows possibilities, how logistical concepts can be
improved or reorganized. Therefore, the assambly line for hydraulic blocks at
Bosch Rexroth Changzhou is checked and new ideas are shown. To ensure
comparability, three different cases are considered. Based on this evaluation,
recommendations for further development are displayed.
Proteins are macromolecules that consist of linear-bonded amino acids. They are essential elements in various metabolic processes. The three-dimensional structure of a protein is determined by the order of amino acids, also referred to as the protein sequence. This conformation corresponds to the structural state in which the protein is functionally active. However, relationships between protein sequence, structure and function have not been fully understood yet. Additionally, information about structural properties or even the entire protein structure are crucial for understanding the dynamics that define protein functionality and mechanisms. From this, the role of a protein in its molecular context can be described closely. For instance, interactions can be investigated and comprehended as a biological dynamic network that is sensitive to alternations, i.e. changes which are caused by diseases. Such knowledge can aid in drug design, whereas compounds need to be specifically tailored and adjusted to their molecular targets. Protein energy profile-basedmethods can be applied to investigate protein structures concerning dynamics and alternations. The publications enclosed to this work discuss in general the scientific potentials of energy profilebased techniques and algorithms. On the one hand, changes in stability caused by protein mutations and proteinligand interactions are discussed in the context of energy profiles. On the other hand, energetic relations to protein sequence, structure and function are elucidated in detail. Finally, the presented discussions focus on recent enhancements of the eProS (energy profile suite) database and toolbox. eProS freely provides all elucidated methodologies to the scientific community. Thus, one can address biological questions with the presented methods at hand. Additionally, eProS provides annotations related to foreign databases. This ensures a broad view on biological data and information. In particular, energetic characteristics can be identified which contribute to a protein’s structure and function.