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Institute
- Institut für Biochemie und Biologie (48)
- Institut für Geowissenschaften (33)
- Institut für Physik und Astronomie (28)
- Institut für Ernährungswissenschaft (19)
- Institut für Chemie (17)
- Wirtschaftswissenschaften (17)
- Sozialwissenschaften (15)
- Bürgerliches Recht (13)
- Department Linguistik (9)
- Öffentliches Recht (9)
Für Rechtsetzung sind nicht nur die Parlamente als Legislativorgan zuständig. Auch - und in weitaus größerem Umfang - werden hier exekutive öffentlich-rechtliche Organisationen tätig und erstellen Rechtsverordnungen, Satzungen und Verwaltungsvorschriften. Bisher liegen noch keine umfassenden und wissenschaftlich verwertbaren Erfahrungen darüber vor, ob sich der in Wirtschaft und Privatleben sehr intensiv entwickelnde Einsatz von Social Software auch vorteilhaft auf die Gestaltung von Rechtsetzungsprozessen auswirken kann. Im Rahmen der Arbeit wird daher ein Ordnungssystem entwickelt, das eine strukturierte und nachvollziehbare Auswahl einer Social Software-Anwendung für die Recht setzende Exekutive ermöglicht.
The high-latitudinal thermospheric processes driven by the solar wind and Interplanetary Magnetic Field (IMF) interaction with the Earth magnetosphere are highly variable parts of the complex dynamic plasma environment, which represent the coupled Magnetosphere – Ionosphere – Thermosphere (MIT) system. The solar wind and IMF interactions transfer energy to the MIT system via reconnection processes at the magnetopause. The Field Aligned Currents (FACs) constitute the energetic links between the magnetosphere and the Earth ionosphere. The MIT system depends on the highly variable solar wind conditions, in particular on changes of the strength and orientation of the IMF.
In my thesis, I perform an investigation on the physical background of the complex MIT system using the global physical - numerical, three-dimensional, time-dependent and self-consistent Upper Atmosphere Model (UAM). This model describes the thermosphere, ionosphere, plasmasphere and inner magnetosphere as well as the electrodynamics of the coupled MIT system for the altitudinal range from 80 (60) km up to the 15 Earth radii.
In the present study, I developed and investigated several variants of the high-latitudinal electrodynamic coupling by including the IMF dependence of FACs into the UAM model. For testing, the various variants were applied to simulations of the coupled MIT system for different seasons, geomagnetic activities, various solar wind and IMF conditions. Additionally, these variants of the theoretical model with the IMF dependence were compared with global empirical models. The modelling results for the most important thermospheric parameters like neutral wind and mass density were compared with satellite measurements. The variants of the UAM model with IMF dependence show a good agreement with the satellite observations. In comparison with the empirical models, the improved variants of the UAM model reproduce a more realistic meso-scale structures and dynamics of the coupled MIT system than the empirical models, in particular at high latitudes. The new configurations of the UAM model with IMF dependence contribute to the improvement of space weather prediction.
Water resources from Central Asia’s mountain regions have a high relevance for the water supply of the water scarce lowlands. A good understanding of the water cycle in these mountain regions is therefore needed to develop water management strategies. Hydrological modeling helps to improve our knowledge of the regional water cycle, and it can be used to gain a better understanding of past changes or estimate future hydrologic changes in view of projected changes in climate. However, due to the scarcity of hydrometeorological data, hydrological modeling for mountain regions in Central Asia involves large uncertainties.
Addressing this problem, the first aim of this thesis was to develop hydrological modeling approaches that can increase the credibility of hydrological models in data sparse mountain regions. This was achieved by using additional data from remote sensing and atmospheric modeling. It was investigated whether spatial patterns from downscaled reanalysis data can be used for the interpolation of station-based precipitation data. This approach was compared to other precipitation estimates using a hydrologic evaluation based on hydrological modeling and a comparison of simulated and observed discharge, which demonstrated a generally good performance of this method. The study further investigated the value of satellite-derived snow cover data for model calibration. Trade-offs of good model performance in terms of discharge and snow cover were explicitly evaluated using a multiobjective optimization algorithm, and the results were contrasted with single-objective calibration and Monte Carlo simulations. The study clearly shows that the additional use of snow cover data improved the internal consistency of the hydrological model. In this context, it was further investigated for the first time how many snow cover scenes were required for hydrological model calibration.
The second aim of this thesis was the application of the hydrological model in order to investigate the causes of observed streamflow increases in two headwater catchments of the Tarim River over the recent decades. This simulation-based approach for trend attribution was complemented by a data-based approach. The hydrological model was calibrated to discharge and glacier mass balance data and considered changes in glacier geometry over time. The results show that in the catchment with a lower glacierization, increasing precipitation and temperature both contributed to the streamflow increases, while in the catchment with a stronger glacierization, increasing temperatures were identified as the dominant driver.
Aufgrund ihrer potenziell gesundheitsfördernden Wirkung sind die polyphenolischen Isoflavone für die menschliche Ernährung von großem Interesse. Eine Vielzahl an experimentellen und epidemiologischen Studien zeigen für die in Soja enthaltenen Isoflavone Daidzein und Genistein eine präventive Wirkung bezüglich hormon-abhängiger und altersbedingter Erkrankungen, wie Brust- und Prostatakrebs, Osteoporose, Herz-Kreislauf-Erkrankungen sowie des menopausalen Syndroms. Die Metabolisierung und Bioaktivierung dieser sekundären Pflanzenstoffe durch die humane intestinale Darmmikrobiota ist individuell unterschiedlich. Nur in einem geringen Teil der westlichen Bevölkerung wird der Daidzein-Metabolit Equol durch spezifische Darmbakterien gebildet. Ein isoliertes Equol-produzierendes Bakterium des menschlichen Darmtrakts ist Slackia isoflavoniconvertens. Anhand dieser Spezies sollten die bislang unbekannten, an der Umsetzung von Daidzein und Genistein beteiligten Enzyme identifiziert und charakterisiert werden.
Fermentationsexperimente mit S. isoflavoniconvertens zeigten, dass die Gene der Daidzein und Genistein-umsetzenden Enzyme nicht konstitutiv exprimiert werden, sondern induziert werden müssen. Mit Hilfe der zweidimensionalen differentiellen Gelelektrophorese wurden sechs Proteine detektiert, welche in einer S. isoflavoniconvertens-Kultur in Anwesenheit von Daidzein induziert wurden. Auf Grundlage einzelner Peptidsequenzen erfolgte die Sequenzierung eines Genkomplexes mit den in gleicher Orientierung angeordneten Genen der durch Daidzein induzierten Proteine. Sequenzvergleiche identifizierten zudem äquivalente Genprodukte zu den Proteinen von S. isoflavoniconvertens in anderen Equolproduzierenden Bakterien. Nach der heterologen Expression in Escherichia coli wurden drei dieser Gene durch enzymatische Aktivitätstests als Daidzein-Reduktase (DZNR), Dihydrodaidzein-Reduktase (DHDR) und Tetrahydrodaidzein-Reduktase (THDR) identifiziert. Die Kombination der E. coli-Zellextrakte führte zur vollständigen Umsetzung von Daidzein über Dihydrodaidzein zu Equol. Neben Daidzein setzte die DZNR auch Genistein zu Dihydrogenistein um. Dies erfolgte mit einer größeren Umsatzgeschwindigkeit im Vergleich zur Reduktion von Daidzein zu Dihydrodaidzein. Enzymatische Aktivitätstests mit dem Zellextrakt von S. isoflavoniconvertens zeigten ebenfalls eine schnellere Umsetzung von Genistein. Die Kombination der rekombinanten DHDR und THDR führte zur Umsetzung von Dihydrodaidzein zu Equol. Der korrespondierende Metabolit 5-Hydroxyequol konnte als Endprodukt des Genistein-Metabolismus nicht detektiert werden. Zur Reinigung der drei identifizierten Reduktasen wurden diese genetisch an ein Strep-tag fusioniert und mittels Affinitätschromatographie gereinigt. Die übrigen durch Daidzein induzierten Proteine IfcA, IfcBC und IfcE wurden ebenfalls in E. coli exprimiert und als Strep-Fusionsproteine gereinigt. Vergleichende Aktivitätstests identifizierten das induzierte Protein IfcA als Dihydrodaidzein-Racemase. Diese katalysierte die Umsetzung des (R)- und (S)-Enantiomers von Dihydrodaidzein und Dihydrogenistein zum korrespondierenden Racemat. Neben dem Elektronentransfer-Flavoprotein IfcBC wurden auch die THDR, DZNR und IfcE als FAD-haltige Flavoproteine identifiziert. Zudem handelte es sich bei IfcE um ein Eisen-Schwefel-Protein. Nach Induktion der für die Daidzein-Umsetzung kodierenden Gene wurden mehrere verschieden lange mRNA-Transkripte gebildet. Dies zeigte, dass die Transkription des durch Daidzein induzierten Genkomplexes in S. isoflavoniconvertens nicht in Form eines einzelnen Operonsystems erfolgte.
Auf Grundlage der identifizierten Daidzein-umsetzenden Enzyme kann der Mechanismus der bakteriellen Umsetzung von Isoflavonen durch S. isoflavoniconvertens eingehend erforscht werden. Die ermittelten Gensequenzen der durch Daidzein induzierten Proteine sowie die korrespondierenden Gene weiterer Equol-produzierender Bakterien bieten zudem die Möglichkeit der mikrobiellen Metagenomanalyse im humanen Darmtrakt.
Earthquake clustering has proven the most useful tool to forecast changes in seismicity rates in the short and medium term (hours to months), and efforts are currently being made to extend the scope of such models to operational earthquake forecasting. The overarching goal of the research presented in this thesis is to improve physics-based earthquake forecasts, with a focus on aftershock sequences. Physical models of triggered seismicity are based on the redistribution of stresses in the crust, coupled with the rate-and-state constitutive law proposed by Dieterich to calculate changes in seismicity rate. This type of models are known as Coulomb- rate and-state (CRS) models. In spite of the success of the Coulomb hypothesis, CRS models typically performed poorly in comparison to statistical ones, and they have been underepresented in the operational forecasting context. In this thesis, I address some of these issues, and in particular these questions: (1) How can we realistically model the uncertainties and heterogeneity of the mainshock stress field? (2) What is the effect of time dependent stresses in the postseismic phase on seismicity? I focus on two case studies from different tectonic settings: the Mw 9.0 Tohoku megathrust and the Mw 6.0 Parkfield strike slip earthquake. I study aleatoric uncertainties using a Monte Carlo method. I find that the existence of multiple receiver faults is the most important source of intrinsic stress heterogeneity, and CRS models perform better when this variability is taken into account. Epistemic uncertainties inherited from the slip models also have a significant impact on the forecast, and I find that an ensemble model based on several slip distributions outperforms most individual models. I address the role of postseismic stresses due to aseismic slip on the mainshock fault (afterslip) and to the redistribution of stresses by previous aftershocks (secondary triggering). I find that modeling secondary triggering improves model performance. The effect of afterslip is less clear, and difficult to assess for near-fault aftershocks due to the large uncertainties of the afterslip models. Off-fault events, on the other hand, are less sensitive to the details of the slip distribution: I find that following the Tohoku earthquake, afterslip promotes seismicity in the Fukushima region. To evaluate the performance of the improved CRS models in a pseudo-operational context, I submitted them for independent testing to a collaborative experiment carried out by CSEP for the 2010-2012 Canterbury sequence. Preliminary results indicate that physical models generally perform well compared to statistical ones, suggesting that CRS models may have a role to play in the future of operational forecasting. To facilitate efforts in this direction, and to enable future studies of earthquake triggering by time dependent processes, I have made the code open source. In the final part of this thesis I summarize the capabilities of the program and outline technical aspects regarding performance and parallelization strategies.
Seit den 60er Jahren gibt es im deutschsprachigen Raum Diskussionen um die Begriffe Schlüsselqualifikation und (Schlüssel-)Kompetenz, welche seit ca. 2000 auch in der Informatikdidaktik angekommen sind. Die Diskussionen der Fachdisziplinen und ihre Bedeutung für die Informatikdidaktik sind Gegenstand des ersten Teils dieser Dissertation. Es werden Rahmenmodelle zur Strukturierung und Einordnung von Kompetenzen entworfen, die für alle Fachdisziplinen nutzbar sind. Im zweiten Teil wird ein methodologischer Weg gezeigt, Schlüsselkompetenzen herzuleiten, ohne normativ vorgehen zu müssen. Hierzu wird das Verfahren der Qualitativen Inhaltsanalyse (QI) auf informatikdidaktische Ansätze angewendet. Die resultierenden Kompetenzen werden in weiteren Schritten verfeinert und in die zuvor entworfenen Rahmenmodelle eingeordnet. Das Ergebnis sind informatische Schlüsselkompetenzen, welche ein spezifisches Bild der Informatik zeichnen und zur Analyse bereits bestehender Curricula genutzt werden können. Zusätzlich zeigt das Verfahren einen Weg auf, wie Schlüsselkompetenzen auf nicht-normativem Wege generell hergeleitet werden können.
Die vergleichende Arbeit beschäftigt sich mit der Bürgerbeteiligung in Städten in Deutschland und Frankreich. In den letzten 20 Jahren haben sich die Formen lokaler Demokratie immer wieder verändert und sich den örtlichen Gegebenheiten angepasst. Das Interesse der Bürger, Verwaltung und politisch gewählten Vertreter an Partizipation wächst stetig . Das heißt aber auch, dass sich diese 3 Akteure den neuen Strukturen anpassen und eigene Strategien entwickeln müssen. Die demokratischen Formen der kooperativen bzw. partizipativen Demokratie werden immer häufiger angewandt. Diese Arbeit evaluiert die verschiedenen Bürgerbeteiligungsinstrumente in Frankreich und Deutschland in dem zwischen Input, Output und Outcome unterschieden wird. Insbesondere die Bürgerhaushalte, Beiräte und Quartiersräte werden genauer betrachtet. Die Ergebnisse zeigen erste Hinweise in welche demokratische Richtung sich die deutschen Städte künftig entwickeln.
Plant cell walls are complex structures that underpin plant growth and are widely exploited in diverse human activities thus placing them with a central importance in biology. Cell walls have been a prominent area of research for a long time, but the chemical complexity and diversity of cell walls not just between species, but also within plants, between cell-types, and between cell wall micro-domains pose several challenges. Progress accelerated several-fold in cell wall biology owing to advances in sequencing technology, aided soon thereafter by advances in omics and imaging technologies. This development provides additional perspectives of cell walls across a rapidly growing number of species, highlighting a myriad of architectures, compositions, and functions.
Furthermore, rather than the component centric view, integrative analysis of the different cell wall components across system-levels help to gain a more in-depth understanding of the structure and biosynthesis of the cell envelope and its interactions with the environment.
To this end, in this work three case studies are detailed, all pertaining to the integrative analysis of heterogeneous cell wall related data arising from different system-levels and analytical techniques. A detailed account of multiblock methods is provided and in particular canonical correlation and regression methods of data integration are discussed. In the first integrative analysis, by employing canonical correlation analysis - a multivariate statistical technique to study the association between two datasets - novel insight to the relationship between glycans and phenotypic traits is gained. In addition, sparse partial least squares regression approach that adapts Lasso penalization and allows for the selection of a subset of variables was employed. The second case study focuses on an integrative analysis of images obtained from different spectroscopic techniques. By employing yet another multiblock approach - multiple co-inertia analysis, insitu biochemical composition of cell walls from different cell-types is studied thereby highlighting the common and complementary parts of the two hyperspectral imaging techniques. Finally, the third integrative analysis facilitates gene expression analysis of the Arabidopsis root transcriptome and translatome for the identification of cell wall related genes and compare expression patterns of cell wall synthesis genes. The computational analysis considered correlation and variation of expression across cell-types at both system-levels, and also provides insight into the degree of co-regulatory relationships that are preserved between the two processes.
The integrative analysis of glycan data and phenotypic traits in cotton fibers using canonical methods led to the identification of specific polysaccharides which may play a major role during fiber development for the final fiber characteristics. Furthermore, this analysis provides a base for future studies on glycan arrays in case of developing cotton fibers. The integrative analysis of images from infrared and Raman spectroscopic approaches allowed the coupling of different analytical techniques to characterize complex biological material, thereby, representing various facets of their chemical properties. Moreover, the results from the co-inertia analysis demonstrated that the study was well adapted as it is relevant for coupling data tables in a symmetric way. Several indicators are proposed to investigate how the global and block scores are related. In addition, studying the root cells of \textit{Arabidopsis thaliana} allowed positing a novel pipeline to systematically investigate and integrate the different levels of information available at the global and single-cell level. The conducted analysis also confirms that previously identified key transcriptional activators of secondary cell wall development display highly conserved patterns of transcription and translation across the investigated cell-types. Moreover, the biological processes that display conserved and divergent patterns based on the cell-type-specific expression and translation levels are identified.
This thesis contains three experimental studies addressing the interplay between deformation and the mineral reaction between natural calcite and magnesite. The solid-solid mineral reaction between the two carbonates causes the formation of a magnesio-calcite precursor layer and a dolomite reaction rim in every experiment at isostatic annealing and deformation conditions.
CHAPTER 1 briefly introduces general aspects concerning mineral reactions in nature and diffusion pathways for mass transport. Moreover, results of previous laboratory studies on the influence of deformation on mineral reactions are summarized. In addition, the main goals of this study are pointed out.
In CHAPTER 2, the reaction between calcite and magnesite single crystals is examined at isostatic annealing conditions. Time series performed at a fixed temperature revealed a diffusion-controlled dolomite rim growth. Two microstructural domains could be identified characterized by palisade-shaped dolomite grains growing into the magnesite and granular dolomite growing towards calcite. A model was provided for the dolomite rim growth based on the counter-diffusion of CaO and MgO. All reaction products exhibited a characteristic crystallographic relationship with respect to the calcite reactant. Moreover, kinetic parameters of the mineral reaction were determined out of a temperature series at a fixed time. The main goal of the isostatic test series was to gain information about the microstructure evolution, kinetic parameters, chemical composition and texture development of the reaction products. The results were used as a reference to quantify the influence of deformation on the mineral reaction.
CHAPTER 3 deals with the influence of non-isostatic deformation on dolomite and magnesio-calcite layer production between calcite and magnesite single crystals. Deformation was achieved by triaxial compression and by torsion. Triaxial compression up to 38 MPa axial stress at a fixed time showed no significant influence of stress and strain on dolomite formation. Time series conducted at a fixed stress yield no change in growth rates for dolomite and magnesio-calcite at low strains. Slightly larger magnesio-calcite growth rates were observed at strains above >0.1. High strains at similar stresses were caused by the activation of additional glide systems in the calcite single crystal and more mobile dislocations in the magnesio-calcite grains, providing fast diffusion pathways. In torsion experiments a gradual decrease in dolomite and magnesio-calcite layer thickness was observed at a critical shear strain. During deformation, crystallographic orientations of reaction products rearranged with respect to the external framework. A direct effect of the mineral reaction on deformation could not be recognized due to the relatively small reaction product widths.
In CHAPTER 4, the influence of starting material microfabrics and the presence of water on the reaction kinetics was evaluated. In these experimental series polycrystalline material was in contact with single crystals or two polycrystalline materials were used as reactants. Isostatic annealing resulted in different dolomite and magnesio-calcite layer thicknesses, depending on starting material microfabrics. The reaction progress at the magnesite interface was faster with smaller magnesite grain size, because grain boundaries provided fast pathways for diffusion and multiple nucleation sites for dolomite formation. Deformation by triaxial compression and torsion yield lower dolomite rim thicknesses compared to annealed samples for the same time. This was caused by grain coarsening of polycrystalline magnesite during deformation. In contrast, magnesio-calcite layers tended to be larger during deformation, which triggered enhanced diffusion along grain boundaries. The presence of excess water had no significant influence on the reaction kinetics, at least if the reactants were single crystals.
In CHAPTER 5 general conclusions about the interplay between deformation and the mineral reaction in the carbonate system are presented.
Finally, CHAPTER 6 highlights possible future work in the carbonate system based on the results of this study.