Refine
Has Fulltext
- yes (5964) (remove)
Year of publication
Document Type
- Postprint (2346)
- Doctoral Thesis (1737)
- Article (644)
- Preprint (425)
- Monograph/Edited Volume (246)
- Conference Proceeding (185)
- Working Paper (168)
- Master's Thesis (60)
- Habilitation Thesis (39)
- Part of Periodical (26)
Language
- English (5964) (remove)
Keywords
- climate change (74)
- Klimawandel (51)
- machine learning (41)
- morphology (40)
- information structure (39)
- MOOC (37)
- syntax (37)
- e-learning (36)
- digital education (35)
- Curriculum Framework (34)
Institute
- Institut für Physik und Astronomie (641)
- Institut für Biochemie und Biologie (557)
- Mathematisch-Naturwissenschaftliche Fakultät (485)
- Institut für Mathematik (475)
- Institut für Geowissenschaften (472)
- Extern (460)
- Institut für Chemie (428)
- Department Linguistik (237)
- Humanwissenschaftliche Fakultät (207)
- Department Psychologie (205)
The authors analyse different Gibbsian properties of interactive Brownian diffusions X indexed by the d-dimensional lattice. In the first part of the paper, these processes are characterized as Gibbs states on path spaces. In the second part of the paper, they study the Gibbsian character on R^{Z^d} of the law at time t of the infinite-dimensional diffusion X(t), when the initial law is Gibbsian. AMS Classifications: 60G15 , 60G60 , 60H10 , 60J60
We prove in this paper an existence result for infinite-dimensional stationary interactive Brownian diffusions. The interaction is supposed to be small in the norm ||.||∞ but otherwise is very general, being possibly non-regular and non-Markovian. Our method consists in using the characterization of such diffusions as space-time Gibbs fields so that we construct them by space-time cluster expansions in the small coupling parameter.
Time series analysis
(2004)
The thesis assesses the contribution of technology option of Carbon Capture and Sequestration (CCS) to climate change mitigation. CCS means that CO2 is captured at large industrial facilities and sequestered in goelogical structures. The technology uses the endogenous growth model MIND. Herein the various climate change mitigation options of reducing economic growth, increasing energy efficiency, changing the energy mix and CCS are assessed simultaneously. An important question is whether CCS is a temporary or long-term solution. The results show that in the middle of the 21st century CCS has its peak contribution, which allows prolonged use of relatively cheap fossil energy carriers. However, this leads to delayed introduction of renewable energy carriers. The technology path ways are accombined with different costs of climate change mitigation. The use of CCS delays and reduces the costs of climate change mitigation. However, the delayed introduction of renewable energy carriers leads to reduced technological learning, which induces higher costs in the longer term. All in all the temporary use of CCS reduces the costs of climate change mitigation costs. The result is robust, which is tested with various uncertainty analysis.
Adsorption layers of soluble surfactants enable and govern a variety of phenomena in surface and colloidal sciences, such as foams. The ability of a surfactant solution to form wet foam lamellae is governed by the surface dilatational rheology. Only systems having a non-vanishing imaginary part in their surface dilatational modulus, E, are able to form wet foams. The aim of this thesis is to illuminate the dissipative processes that give rise to the imaginary part of the modulus. There are two controversial models discussed in the literature. The reorientation model assumes that the surfactants adsorb in two distinct states, differing in their orientation. This model is able to describe the frequency dependence of the modulus E. However, it assumes reorientation dynamics in the millisecond time regime. In order to assess this model, we designed a SHG pump-probe experiment that addresses the orientation dynamics. Results obtained reveal that the orientation dynamics occur in the picosecond time regime, being in strong contradiction with the two states model. The second model regards the interface as an interphase. The adsorption layer consists of a topmost monolayer and an adjacent sublayer. The dissipative process is due to the molecular exchange between both layers. The assessment of this model required the design of an experiment that discriminates between the surface compositional term and the sublayer contribution. Such an experiment has been successfully designed and results on elastic and viscoelastic surfactant provided evidence for the correctness of the model. Because of its inherent surface specificity, surface SHG is a powerful analytical tool that can be used to gain information on molecular dynamics and reorganization of soluble surfactants. They are central elements of both experiments. However, they impose several structural elements of the model system. During the course of this thesis, a proper model system has been identified and characterized. The combination of several linear and nonlinear optical techniques, allowed for a detailed picture of the interfacial architecture of these surfactants.
This study is analysing the transformation of Slovak administration in the telecommunication sector between 1989 and 2004. The dynamic telecom sector forms a good example for the transition problems of post-socialist administration with special regard to the regulation regime change. After describing briefly the role of the telecom sector within economy, the Slovak sectoral policy is analysed. The focus is layed on telecom legislation (including the regulation framework), liberalization of the telecom market and privatisation of the former state owned telecom operator. The transformation of the organizational structure of the "Slovak telecommunication administration" is analysed in particular at the level of the ministry and the regulating agency.
Existing theoretical literature fails to explain satisfactorily the differences between the pay of workers that are covered by collective agreements and others who are not. This study aims at providing a model framework which is amenable for an analysis of this issue. Our general-equilibrium approach integrates a dual labor market and a two-sector product market. The results suggest that the so-called 'union wage gap' is largely determined by the degree of centralization of the bargains, and, to a somewhat lesser extent, by the expenditure share of the unionized sector's goods.
Post-translational redox-regulation is a well-known mechanism to regulate enzymes of the Calvin cycle, oxidative pentose phosphate cycle, NADPH export and ATP synthesis in response to light. The aim of the present thesis was to investigate whether a similar mechanism is also regulating carbon storage in leaves. Previous studies have shown that the key-regulatory enzyme of starch synthesis, ADPglucose pyrophosphorylase (AGPase) is inactivated by formation of an intermolecular disulfide bridge between the two catalytic subunits (AGPB) of the heterotetrameric holoenzyme in potato tubers, but the relevance of this mechanism to regulate starch synthesis in leaves was not investigated. The work presented in this thesis shows that AGPase is subject to post-translational redox-regulation in leaves of pea, potato and Arabidopsis in response to day night changes. Light was shown to trigger posttranslational redox-regulation of AGPase. AGPB was rapidly converted from a dimer to a monomer when isolated pea chloroplasts were illuminated and from a monomer to a dimer when preilluminated leaves were darkened. Conversion of AGPB from dimer to monomer was accompanied by an increase in activity due to changes in the kinetik properties of the enzyme. Studies with pea chloroplast extracts showed that AGPase redox-activation is mediated by thioredoxins f and m from spinach in-vitro. In a further set of experiments it was shown that sugars provide a second input leading to AGPase redox activation and increased starch synthesis and that they can act as a signal which is independent from light. External feeding of sugars such as sucrose or trehalose to Arabidopsis leaves in the dark led to conversion of AGPB from dimer to monomer and to an increase in the rate of starch synthesis, while there were no significant changes in the level of 3PGA, an allosteric activator of the enyzme, and in the NADPH/NADP+ ratio. Experiments with transgenic Arabidopsis plants with altered levels of trehalose 6-phosphate (T6P), the precursor of trehalose synthesis, provided genetic evidence that T6P rather than trehalose is leading to AGPase redox-activation. Compared to Wt, leaves expressing E.coli trehalose-phosphate synthase (TPS) in the cytosol showed increased activation of AGPase and higher starch level during the day, while trehalose-phosphate phosphatase (TPP) overexpressing leaves showed the opposite. These changes occurred independently of changes in sugar and sugar-phosphate levels and NADPH/NADP+ ratio. External supply of sucrose to Wt and TPS-overexpressing leaves led to monomerisation of AGPB, while this response was attenuated in TPP expressing leaves, indicating that T6P is involved in the sucrose-dependent redox-activation of AGPase. To provide biochemical evidence that T6P promotes redox-activation of AGPase independently of cytosolic elements, T6P was fed to intact isolated chloroplasts for 15 min. incubation with concentrations down to 100 µM of T6P, but not with sucrose 6-phosphate, sucrose, trehalose or Pi as controls, significantly and specifically increased AGPB monomerisation and AGPase activity within 15 minutes, implying T6P as a signal reporting the cytosolic sugar status to the chloroplast. The response to T6P did not involve changes in the NADPH/NADP+ ratio consistent with T6P modulating redox-transfer to AGPase independently of changes in plastidial redox-state. Acetyl-CoA carboxylase (ACCase) is known as key-regulatory enzyme of fatty acid and lipid synthesis in plants. At the start of the present thesis there was mainly in vitro evidence in the literature showing redox-regulation of ACCase by DTT, and thioredoxins f and m. In the present thesis the in-vivo relevance of this mechanism to regulate lipid synthesis in leaves was investigated. ACCase activity measurement in leaf tissue collected at the end of the day and night in Arabidopsis leaves revealed a 3-fold higher activation state of the enzyme in the light than in the dark. Redox-activation was accompanied by change in kinetic properties of ACCase, leading to an increase affinity to its substrate acetyl-CoA . In further experiments, DTT as well as sucrose were fed to leaves, and both treatments led to a stimulation in the rate of lipid synthesis accompanied by redox-activation of ACCase and decrease in acetyl-CoA content. In a final approach, comparison of metabolic and transcript profiling after DTT feeding and after sucrose feeding to leaves provided evidence that redox-modification is an important regulatory mechanism in central metabolic pathways such as TCA cycle and amino acid synthesis, which acts independently of transcript levels.
Modern biological analysis techniques supply scientists with various forms of data. One category of such data are the so called "expression data". These data indicate the quantities of biochemical compounds present in tissue samples. Recently, expression data can be generated at a high speed. This leads in turn to amounts of data no longer analysable by classical statistical techniques. Systems biology is the new field that focuses on the modelling of this information. At present, various methods are used for this purpose. One superordinate class of these methods is machine learning. Methods of this kind had, until recently, predominantly been used for classification and prediction tasks. This neglected a powerful secondary benefit: the ability to induce interpretable models. Obtaining such models from data has become a key issue within Systems biology. Numerous approaches have been proposed and intensively discussed. This thesis focuses on the examination and exploitation of one basic technique: decision trees. The concept of comparing sets of decision trees is developed. This method offers the possibility of identifying significant thresholds in continuous or discrete valued attributes through their corresponding set of decision trees. Finding significant thresholds in attributes is a means of identifying states in living organisms. Knowing about states is an invaluable clue to the understanding of dynamic processes in organisms. Applied to metabolite concentration data, the proposed method was able to identify states which were not found with conventional techniques for threshold extraction. A second approach exploits the structure of sets of decision trees for the discovery of combinatorial dependencies between attributes. Previous work on this issue has focused either on expensive computational methods or the interpretation of single decision trees a very limited exploitation of the data. This has led to incomplete or unstable results. That is why a new method is developed that uses sets of decision trees to overcome these limitations. Both the introduced methods are available as software tools. They can be applied consecutively or separately. That way they make up a package of analytical tools that usefully supplement existing methods. By means of these tools, the newly introduced methods were able to confirm existing knowledge and to suggest interesting and new relationships between metabolites.