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Two main aspects concerning drift wave dynamics in linear, magnetized plasma devices are addressed in the work: In part I of the thesis, drift waves are studied in a helicon plasma. The plasma parameter regime is characterized by comparably high collision frequencies and comparably high plasma-p exceeding the electron-ion mass ratio. Single Langmuir probes and a poloidal probe array are used for spatiotemporal studies of drift waves as well as for characterization of background plasma parameters. The main goals are the identification of a low-frequency instability and its major destabilization mechanisms. All experimentally observed features of the instability were found to be consistent with drift waves. A new code, based on a non-local cylindrical linear model for the drift wave dispersion, was used to gain more insight into the dominating destabilzation mechanisms, and also into dependencies of mode frequencies and growth rates on different parameters. In the experiment and in the numerical model, poloidal mode structures were found to be sheared. Part II of the thesis reports about mode-selective spatiotemporal synchronization of drift wave dynamics in a low-P plasma. Active control of the fluctuations is achieved by driving a preselected drift mode to the expense of other modes and broadband turbulence. It is demonstrated that only if a resonance between the driver signal and the drift waves in both space and time is reached, the driver has a strong influence on the drift wave dynamics. The synchronization effect is qualitatively well reproduced in a numerical simulation based on a Hasegawa-Wakatani model.
Low-pressure plasmas offer a unique possibility of confinement, control and
fine tailoring of particle properties. Hence, dusty plasmas have grown
into a vast field and new applications of plasma-processed dust particles
are emerging. There is demand for particles with special properties and
for particle-seeded composite materials. For example, the stability of
luminophore particles could be improved by coating with protective Al2O3
films which are deposited by a PECVD process using a metal-organic precursor gas.
Alternatively, the interaction between plasma and injected micro-disperse powder
particles can also be used as a diagnostic tool for the study of plasma surface
processes. Two examples will be provided: the interaction of micro-sized (SiO2)
grains confined in a radiofrequency plasma with an external ion beam as well as
the effect of a dc-magnetron discharge on confined particles during deposition
have been investigated.
Severe trauma results in alterations in immune functions, correlated with a dysbalanced cytokine synthesis. This imbalance endangers severely injured patients for post-traumatic complications such as MODS, liver failure, renal dysfunction and ARDS. IL-10, a powerful immunosuppressive cytokine, plays a central role in the immune response after severe trauma. The relevance of IL-10 for single and multiple organ failure was studied in a prospective study at a level I trauma center. Blood was systematically obtained from a total of 118 severely injured [median (IQR) ISS=34 (27-34)] patients. IL-10 plasma levels were measured by ELISA. Patients showed elevated IL-10 levels throughout the whole observation period of 5 days. IL-10 plasma levels rose rapidly after trauma and gradually declined towards day 5. Patients who developed complications demonstrated significantly elevated IL-10 levels compared with patients who did not. The odds of developing MODS were 9.6 times greater in patients with IL-10 plasma levels higher than 124 pg/mL 6 hours after arrival at the ICU. Multivariate analysis showed that IL-10 plasma levels >124 pg/mL at time-point 6h, severe head injury and an arterial pH <7.34 were simultaneously significant predictors of the development of MODS in severely injured patients. The dynamic with rapid increase and gradual decline in IL-10 plasma levels indicated that IL-10 is a marker of the initial damage to the organism caused by trauma, rather than a marker of somatic dysregulations.
The present work consists of four parts, containing experimental data obtained from analysis of 'Bacillus subtilis' specific and general defense strategies against reactive oxygen species. In the first part, the peroxide and superoxide stress stimulons ob 'B. subtilis' were analyzed by means of transcriptomics and proteomics. Oxidative stress responsive genes were classified into two groups: the gene expression pattern was either similar after both stresses or the genes primarily responded to one stimulus. The high induction observed for members of the PerR-regulon after both stimuli supported the assumption that activation of the peroxide specific PerR-regulon represented the primary stress response after superoxide and peroxide stress. The second part focuses on protein carbonylation in 'B. subtilis' wild-type and 'sigB' mutant cells. The introduction of carbonyl groups into amino acid side chains of proteins represents one possible form of protein modification after attack by reactive oxygen species. Carbonyl groups are readily detectable and the observed amounts can thus serve as an indicator for the severity of protein damage. The resultsdemonstrate clearly that 'B. subtilis' proteins are susceptible to hydrogen peroxide (H2O2) mediated carbonylation damage. The application of low concentrations of H2O2 prior to the exposure to otherwise lethal levels of peroxide reduced markedly the degree of protein carbonylation, which also held true for glucose starved cells. Artificial preloading with general stress proteins resulted in a lower level of protein carbonylation when cells were subjected to oxidative stress, but no differences were detected between wild-type and 'sigB' mutant cells. In the third part, strains with mutations in genes encoding general stress proteins were screenedfor decreased resistance after H2O2 challenge. It was demonstrated that resistance to H2O2 challenge. It was demonstrated that resistance to H2O2 after transient heat treatment, likewise to conditions of glucose starvation, was at least partly mediated by the sB-dependent general stress response. The screening of mutants in sB-controlled genes revealed an important role for the deoxyribonucleic acid (DNA)-binding protein Dps in the context of sB-mediated resistance to oxidative stress underlining previous reports. Therefore, the experimental strategy opens a global view on the importance of DNA integrity in 'B. subtilis' under conditions of oxidative stress. The fourth part includes analysis of a 'B. subtilis' thioredoxin conditional mutant. The thiol-disulfide oxidoreductase TrxA is an essential protein in 'B. subtilis' that is suggested to be involved in maintaining the cytoplasmic thiol-disulfide state even under conditions of oxidative stress. To investigate the physiological role of TrxA, growth experiments and two-dimensional gel electrophoresis were carried out with exponentially growing cells that were depleted of TrxA. The observations indicate that TrxA essentially involved in the re-reduction of phosphoadenosyl phosphosulfate reductase CysH within the sulfate assimilation pathway of 'B. subtilis'.
The insulin dependent type 1 diabetes mellitus (IDDM) and the metabolic syndrome are complex human diseases. Both diseases are heterogeneous, genetically inherited and do not follow a simple Mendelian single-locus pattern. The analysis of complex human diseases is complicated both by genetic heterogeneity and by environmental factors. One way to overcome the problem of genetic heterogeneity in humans may be to cluster patients by kinship. It was shown by analysis of maternal lines of type 1 diabetics using mitochondrial DNA that 89% of maternal lines are related to each other. Moreover, an alternative to the genetic differential analysis of complex mammalian diseases is the use of animal models. The availability of inbred animal models closely resembling the human disease is an essential component of genetic investigations in this field, as shown in the results of this work. These findings do not only underscore the utility of the congenic and subcongenic approach in differentially analyzing complex traits, but also show that candidate genes can be identified and that chromosomal exchange can variously influence the phenotype, leading to sub-phenotypes which may be representative for human beings. Furthermore, it will also be possible to locate the syntenic region in the human genome and congenic and subcongenic strains can also be used to study interactions between chromosomal regions and various selected environmental conditions. In this way, it may be possible to learn which region can be influenced by environmental factors and to which extent, an undertaking which will require prospective projects.
Colossal magneto-resistance manganites are characterized by a complex interplay of charge, spin, orbital and lattice degrees of freedom. Formulating microscopic models for these compounds aims at meeting two conflicting objectives: sufficient simplification without excessive restrictions on the phase space. We give a detailed introduction to the electronic structure of manganites and derive a microscopic model for their low-energy physics. Focusing on short-range electron–lattice and spin–orbital correlations we supplement the modelling with numerical simulations.
This work studies different alternatives for parallelization of ground-state DMRG, with a focus on shared memory multiprocessor systems. Exploiting the parallelism in the dominant part of a DMRG calculation (diagonalization of the superblock Hamiltonian), speedups of 5 to 6 on 8-CPU machines can be achieved. A performance analysis gives hints as to which machine is best siuted for the task. The parallelized DMRG code is then applied to current problems in theoretical solid state physics with electronics, bosonic and spin degrees of freedom. Stripe-like modulations of the hole density in the ground state of doped Hubbard with cylindrical boundary conditions are idenficied in the thermodynamic limit using extrapolation techniques. In the 1D Holstein model of spinless fermions at half filling, Luttinger parameters and the charge structure factor are determinde in order to derive the phase diagram that had previously been established only on small lattices. For the 1D half-filled Holstein-Hubbard model, a finite size analysisof spine and charge excitation gaps in the relevant sectors (Mott insulator, Peierls band insulator and bipolaronic Peierls insulator) is able to yield the phase diagram as well. Finally, is the Heisenberg spin chain with dynamical phonons is considered as a relevant model for a spin-Peierls transition in Copper Germanate. Using DMRG, the relation between singlet-triplet excitation gap and dynamical dimeriaztion is calculated for the first time.
The present work is a paleolimnological orientated approach to refine and improve the indicator ability of freshwater ostracods from Holocene and Late glacial deposits in northeast Germany. The thesis follows two different approaches, one utilizes quantitative paleoenvironmental analysis, while the other evaluates ecological investigations of living specimens to extend the potential indicator group. For the first time quantitative ostracod analysis are carried out for a lacustrine basin (lake Krakower See) and a near-shore locality (Pudagla lowland) in the study area. The ecological investigation of living ostracods comprises 96 localities. The evaluation focused on environmental variables, which explain significantly the species composition. A canonical correspondence analysis identified at least four environmental parameters - water temperature, conductivity, pH-value, and mean water depth – which have an effect on ostracod assemblages. An extended analysis, which included only a subset of lake sites, revealed also that the former three environmental parameters affect the ostracod lake fauna, whereas the water temperature is the dominant factor. A temperature-transfer function could be regressed and calculated from the given trainingset by a weighted average model. These estimates can now be use in future paleolimnological investigations in northeast Germany to quantify the paleotemperature.
First-principle path integral Monte Carlo simulations were performed in order to analyze correlation effects in complex electron-hole plasmas, particularly with regard to the appearance of excitonic bound states. Results are discussed in relation to exciton formation in unconventional semiconductors with large electron hole mass asymmetry.
Collisional absorption of dense fully ionized plasmas in strong high-frequency laser fields is investigated in the non-relativistic case. Quantum statistical methods are used as well as molecular dynamics simulations. In the quantum statistical expressions for the electrical current density and the electron-ion collision frequency–valid for arbitrary field strength–strong correlations are taken into account. In addition, molecular dynamic simulations were performed to calculate the heating of dense plasmas in laser fields. Comparisons with the analytic results for different plasma parameters are given. Isothermal plasmas as well as two-temperature plasmas are considered.