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The glycine receptor (GlyR) is the major inhibitory neurotransmitter receptor in spinal cord and brainstem. Heteropentameric GlyRs are clustered and anchored at inhibitory postsynaptic sites by the binding of the large intracellular loop between transmembrane domains 3 and 4 of the GlyRbeta subunit (GlyRbeta-loop) to the cytoplasmic scaffolding protein gephyrin. GlyRs are also cotransported with gephyrin along microtubules in the anterograde and retrograde direction due to the binding of gephyrin to microtubule-associated motor proteins. Additionally, GlyRs undergo lateral diffusion in the plasma membrane from extrasynaptic to synaptic sites and vice versa. Since its discovery, gephyrin has remained for many years the only binding partner interacting directly with the GlyRbeta subunit. In an attempt to elucidate further mechanisms involved in GlyR function and regulation at inhibitory postsynaptic sites, a proteomic screen for putative binding partners to the GlyRbeta loop was performed. Three proteins were identified as putative interactors. In this thesis, the interaction between these putative binding proteins and the GlyRbeta subunit was analyzed and characterized. Binding studies with glutathione-S-transferase fusion proteins revealed that all putative binding proteins, Syndapin (Sdp), Vacuolar Protein Sorting 35 (Vps35) and Neurobeachin (Nbea), interact specifically with the GlyRbeta loop. The Sdp family of proteins are F-BAR and SH3 domain containing proteins. Inmmunocytochemical experiments showed that SdpI as well as the isoforms SdpII-S and SdpIIL colocalize with the full-length GlyRbeta subunit in a mammalian cell expression system. In cultured spinal cord neurons, a partial colocalization of endogenous SdpI with several excitatory and inhibitory synaptic markers was demonstrated. Mapping experiments using deletion mutants narrowed the SdpI binding site down to 22 amino acids. Peptide competition experiments confirmed the specificity of the interaction between SdpI and this sequence of the GlyRbeta subunit. Point mutation analysis revealed a SH3-proline rich domain dependent interaction between SdpI and the GlyRbeta subunit, respectively. In addition, binding studies in mammalian cells showed that both splice variants of SdpII as well as SdpI interact with the GlyR scaffolding protein gephyrin. Although the SdpI and gephyrin binding sites do not overlap, protein competition studies revealed that interaction of the E-domain of gephyrin with the GlyRbeta loop interferes with SdpI binding. Since SdpI is a dynamin binding protein involved in vesicle endocytosis and recycling pathways, a possible function of SdpI in the regulation of GlyR synaptic distribution was investigated. Co-immunoprecipitation experiments confirmed a SdpI-GlyR association in the vesicle-enriched fraction of rat spinal cord tissue. Immunocytochemical studies of SdpI knock out mice showed that the clustering and distribution of GlyRs in the brain stem is unchanged. However, acute down-regulation of SdpI in rat spinal cord neurons by viral shRNA expression led to a reduction in the number and size of GlyR clusters, an effect that could be rescued upon shRNA-resistant SdpI overexpression. Further immunocytochemical analysis of the localization of gephyrin, the gamma2 subunit of the type A gamma-aminobutyric acid receptor (GABAARgamma2 subunit) and the vesicular inhibitory amino acid transporter (VIAAT) under SdpI knock-down conditions showed that both the number and average size of the gamma2-subunit containing GABAA receptor clusters were significantly reduced in spinal cord neurons. In contrast to GlyR and GABAARgamma2 immunoreactivity, the number and average size of gephyrin and VIAAT clusters were barely reduced upon SdpI downregulation. These results suggest that SdpI has a role in GlyR trafficking that can be compensated by other syndapin isoforms or other trafficking pathways. Furthermore, SdpI might be required for the clusters of GlyRs and gamma2-subunit containing GABAARs in spinal cord and brainstem. Vps35 is the core protein of the retromer complex, which mediates the endosome to Golgi apparatus retrieval of different types of receptors in mammals and yeast. Here, protein-protein interaction assays revealed for the first time that Vps35 interacts directly with the GlyRbeta loop as well as with gephyrin. The generation of specific Vps35 antibodies allowed to determine the distribution of this protein in the central nervous system. Immunocytochemical analyses revealed the presence of Vps35 in the somata and neurites of spinal cord neurons, suggesting a possible interaction of Vps35 with the GlyR under physiological conditions. Nbea is a BEACH domain containing, neuron-specific protein. Binding studies revealed a direct interaction between two regions of Nbea and the GlyRbeta loop. Immunocytochemical experiments confirmed a somatic and synaptic distribution of Nbea in primary cultures. In spinal cord neurons, a partial colocalization of Nbea with excitatory and inhibitory synaptic markers suggests a possible interaction of Nbea with the GlyR at inhibitory synaptic sites.
The analysis of biomolecular macrocomplexes requires certain preconditions to be fulfilled. The preparation of biomolecular samples usually results in low yields. Due to this constraint of low availability any method should provide a sufficient sensitivity to cope with typical sample amounts. Biomolecules also often show a reduced stability, i.e. a propensity for fragmentation upon ionisation, which requires reasonable soft methods for the investigation. Furthermore macromolecular complexes usually are composed by means of non-covalent interactions presenting additional demands on the softness. This holds true for specific complexes like protein-ligand or DNA double strand binding. For the formation of non-covalent, specific complexes the biomolecules’ native structure and environment are a basic prerequisite and hence crucial. Therefore it is desirable during analysis to keep the biomolecules in a native environment to preserve their structure and weak interactions. One suitable method for analysing biomolecules is mass spectrometry. Mass spectrometry is capable of high throughput screening as well as determining masses with high accuracy and high sensitivity. Especially since the availability of MALDI-MS and ESI-MS mass spectrometry evolved to a versatile tool to investigate biomolecular complexes. Both, MALDI- and ESI-MS are sufficiently soft methods to observe fragile biomolecules. Yet both methods have their advantages and disadvantages. During the recent years an alternative mass spectrometric approach has been developed in our group, termed LILBID-MS (Laser Induced Liquid Bead Ionisation/Desorption). In LILBID microdroplets of aqueous solution containing buffer, salt and further additives among the analyte molecules are injected into vacuum and irradiated one-by-one by mid-IR laser pulses. The absorption of the energy by the water leads to a rapid ablation of the preformed analyte ions. LILBID is highly tolerant for the addition of salts and detergents allowing to study biomolecular complexes in a native environment. As LILBID-MS is soft enough to avoid fragmentation, specific non-covalent complexes can be analysed directly from their native environment by this method. In addition dissociation can be induced on demand by increasing the laser intensity which allows for the study of subunit compositions. A further prominent property of LILBID is the possibility to study hydrophobic membrane proteins due to the tolerated use of detergents. During the course of this work, several instrumental improvements mostly concerning ion focussing and beam steering were introduced. Together with refinements of different modes of measurement the result is a significantly improved signal-to-noise ratio as well as a further improvement in sensitivity. In addition the accessible m/z range for a given flight time has been vastly increased. The new possibilities that LILBID now offers for the study of biomolecular complexes were investigated. The ability to detect specific binding in LILBID-MS was investigated by means of nucleic acids and their interaction with proteins. It could be shown that the stability of a 16bp dsDNA corresponds to that in solution phase regarding the dependency on concentration and type of the salts used. In addition a competitive experiment with the well-known transcription factor p50 was used to demonstrate the detection of sequence-specific binding with LILBID. The improved sensitivity allowed to detect single stranded DNA at nanomolar concentrations and even the 2686bp plasmid pUC19 could be easily detected without fragmentation using a concentration of only 80nM. In case of the transcription factor p63 the mass spectrometric analysis could help to identify a new model of activation and inhibition. For the first time known quarternary structures of membrane proteins like the light-driven proton pump bacteriorhodopsin and the potassium channel KcsA could be detected with mass spectrometry. For the light-driven proton pump proteorhodopsin the type and the concentration of the used detergents significantly influenced the stability of this protein as well as the preferred quarternary structure.
In my dissertation I study the transmission of monetary and fiscal policy in New Keynesian DSGE models. In the first chapter we revisit the exchange rate channel in a two-country model of the U.S. and a panel of industrialized countries to analyse how monetary policy transmission in the U.S. changes if it becomes more trade integrated. We find that more openness lowers the sacrifice ratio, although the effect is quantitatively small and depends on the pricing of the firms. In the second chapter we simulate the impact of the U.S. fiscal stimulus package in 2009 on GDP. We find that the government spendingmultiplier is well below 1. The finding is robust to including rule-of-thumb consumers and simulating the stimulus in the recent recession. In the third chapter we collect the fiscal stimulus measures in the eleven biggest countries of the euro area. Then we do a robustness study by simulating the european package in five different models of the euro area. The macroeconomic models vary in terms of backward-looking decision making of the agents and openness. Our findings provide no support for a Keynesian multiplier. Instead they suggest that additional government spending will reduce private spending for consumption and investment purposes. If government spending faces an implementation lag, the initial effect on GDP may even be negative. In the fourth chapter I estimate a DSGE model for Germany and compute forecasts for the debt-to-GDP ratio. I find that the expected economic recovery will lead to a decrease in Germany’s indebtedness in the medium-term given that policy makers stick to the fiscal policy rules.
Project I: The progression of rod and cone degeneration in retinally degenerate (rd) mice ultimately results in a complete loss of photoreceptors and blindness. The inner retinal neurons survive and several recent studies using genetically targeted, light activated channels have made these neurons intrinsically light sensitive. We crossbred a transgenic mouse line expressing channelrhodopsin2 (ChR2) under the control of the Thy1 promoter with the Pde6b(rd1) mouse, a model for retinal degeneration (rd1/rd1). Approximately 30-40% of the ganglion cells of the offspring expressed ChR2. Extracellular recordings from ChR2-expressing ganglion cells in degenerated retinas revealed their intrinsic light sensitivity which was approximately 7 log U less sensitive than the scotopic threshold and approximately 2 log U less sensitive than photopic responses of normal mice. All ChR2-expressing ganglion cells were excited at light ON. The visual performance of rd1/rd1 mice and ChR2 rd1/rd1 mice was compared. Behavioral tests showed that both mouse strains had a pupil light reflex and they were able to discriminate light fields from dark fields in the visual water task. Cortical activity maps were recorded with optical imaging. The ChR2rd1/rd1 mice did not show a better visual performance than rd1/rd1 mice. In both strains the residual vision was correlated with the density of cones surviving in the peripheral retina. The expression of ChR2 under the control of the Thy1 promoter in retinal ganglion cells does not rescue vision. Project II: Lentiviral vectors are becoming the vector of choice for transgene delivery into cells due to their ability to infect non- dividing cells and stably integrate the gene into the genome of the host. Two different viral vector systems, namely HIV-1 and SIV and three different viral vectors PLECYT, PHRCMVChR2 of HIV-1 family and PBjChR2 of SIV were used in this study. The efficiency of the vectors was analyzed by applying them onto the retinal explants in culture and checking the transgene expression. The transgene in the PLECYT lentiviral vector was driven by the EF1A promoter. Upon administration of 5.2 X 106 infectious units of PLECYT viral vector suspension onto the retinal explant resulted in the transduction of retinal ganglion cells. Very few other retinal neurons were found transduced. In the case of PHRCMVChR2, approximately 5 X 105 TU/ml of the vector was used and resulted in the transduction of different neuronal subtypes. Many amacrine cells, ganglion cells and Müller cells were found expressing the transgene. For PBjChR2, 5.6 X104 TU/ml was used which resulted in Müller cell- specific transduction. Very few or no other retinal neurons were found transduced. This study demonstrates the transduction efficiency of different viral vectors on the retinal neurons in vitro. An interesting observation on these viral vectors is their altered tropism. The glycoprotein of the virus is critical for determining their tropism and in this study, all the viral vectors generated were pseudotyped with VSVG, which confers a broad non-specific spectrum of infection. However, analyzing the transgene expression, the viral vectors differ from one another and show remarkable difference in their transduction pattern. To list a few factors that might possibly responsible for the drastic transduction difference exerted by the viral vectors include; 1. Promoters used to drive the transgene expression. 2. HIV or SIV component of the vector in combination with the promoter 3. Titre of the vector used and 4. Other factors like pH and serum used in the study. Therefore optimizing the viral vectors and generating high titers would increase the efficiency and cell-type specific expression of the transgene.
Suicide genes have been broadly used in gene therapy. They can serve as safety tools for conditional elimination of infused cells or for directed tumor therapy. To date, the Herpes simplex virus thymidine kinase/ ganciclovir (HSVtk/GCV) system is the most prominent and the most widely used suicidegene/prodrug combination. Despite its promising performance, the system displays limitations, which include relatively slow killing kinetics and toxicity of the prodrug GCV. Consequently, several groups have either developed new suicide-gene/prodrug combinations or attempted to improve the established HSVtk/GCV suicide system. The present study also aimed towards optimization of the HSVtk/GCV system. To do so, a novel, codon-optimized point mutant (A168H) of HSVtk was developed. The novel mutant was named TK.007. It was extensively tested for its efficiency in two relevant settings: (1) control of severe graft-versus-host disease (GvHD) after adoptive immunotherapy with Tlymphocytes, and (2) direct elimination of targeted tumor cells. TK.007 was compared to the broadly used wild-type, splice-corrected scHSVtk and to a codon-optimized HSVtk (coHSVtk) not bearing the above point mutation. (1) For experiments related to the adoptive immunotherapy approach, HSVtkvariants were expressed from a γ-retroviral MP71 vector as a fusion construct with the selection and marker gene tCD34. Expression levels for TK.007 in transduced lymphoid and myeloid cell lines were significantly higher at initial transduction and over a 12 week period compared to the commonly used scHSVtk and coHSVtk indicating reduced toxicity of TK.007. Killing kinetics of transduced cell lines (PM1 and K562) and primary human T cells were significantly faster for TK.007 in comparison to scHSVtk and coHSVtk in vitro. In vivo-functionality of TK.007 was assessed in an allogeneic transplantation model. T cells derived from C57BL/6J.Ly5.1 donor mice were transduced with MP71 vectors expressing scHSVtk or TK.007. Transduced cells were selected and transplanted into Balb/c Rag2-/- γ-/- immune-deficient recipient mice. Acute, severe GvHD occurred and was effectively abrogated in all mice transplanted with TK.007- transduced T cells, and in five out of six mice transplanted with scHSVtk-transduced cells. In a slightly modified quantitative allogeneic transplantation mouse model, significantly faster and more efficient in vivo killing was demonstrated for TK.007 as compared to scHSVtk, especially at low doses of GCV. (2) In order to assess TK.007 functionality in cells derived from solid tumors, HSVtk-variants were expressed from lentiviral gene ontology (LeGO) vectors in combination with an eGFP/neo-opt selection cassette. Transduced and selected tumor cell lines that derived from several tissues were eliminated at significantly lower GCV doses and to higher extents when transduced with TK.007 compared to scHSVtk. Moreover, a significantly stronger bystander effect of TK.007 was demonstrated. The superior in vitro efficiency of TK.007 was confirmed in an in vivo subcutaneous xenograft mouse model for glioblastoma in NOD/SCID mice. Mice transplanted with TK.007 transduced cells stayed tumor-free after treatment with different GCV-doses. On the contrary, mice of the scHSVtk group either demonstrated only transiently reduced tumor growth in the low-dose GCV group (10 mg/kg) compared to the control groups or suffered from relatively fast relapses after initial tumor shrinking in the standarddose (50 mg/kg) GCV group. As a result, all mice in the scHSVtk group died from vigorous tumor growth. In summary, in two different applications for suicide gene therapy the present study has demonstrated superior functional performance of the novel suicide gene TK.007 as compared to the broadly used wild-type scHSVtk. Differences became particularly pronounced at low doses of GCV. It can be concluded that the new TK.007-gene represents a promising alternative to the commonly used scHSVtk for gene therapeutic applications.
EGFL7 regulates adult neural stem cell maintenance and differentiation by inhibition of Notch1
(2010)
In neurobiology the preexisting dogma on the unchangeability of the adult mammalian brain and its inability to give rise to new neurons has been challenged since the early nineties. Generally, it is now accepted that neurogenesis persists in adults. Progress in developmental and stem cell biology in recent years led to an increasing interest in regeneration-based treatment strategies for damaged tissue of the central nervous system. Thus, the enhancement of the endogenous potential of the brain to repair itself is potentially a feasible therapeutic strategy to treat various types of brain damage. Therefore, it is of great interest to understand the molecular mechanism that regulate adult neurogenesis. One of the prominent pathways suggested to be involved here is the Notch signaling cascade. Previously, it has been shown that various components of Notch signaling are expressed in the stem cell niche of the adult subventricular zone (SVZ) in vivo. Interestingly, a recent study demonstrated that the self-renewal potential of adult neural stem cells (NSCs) isolated from the SVZ depend on Notch signaling in vitro.
Recently, we identified a novel non-canonical Notch ligand termed epidermal growth factor-like domain 7 (EGFL7), which was originally described as a protein secreted by endothelial cells and functionally implicated in cellular responses of the vascular system such as cell migration and blood vessel formation. We were able to show that secreted EGFL7 binds to a region in Notch that is involved in ligand-mediated receptor activation, thus acting as an antagonist of Notch signaling.
The present study identifies neurons of the human and murine brain as a novel source of EGFL7, which suggests functions of EGFL7 in the neural system. Expression analyses by quantitative RT-PCR (qRT-PCR) revealed EGFL7 is down regulated in the adult SVZ, which suggests that endogenous EGFL7 may act as a Notch modulator of NSCs. We assessed the expression of Notch pathway components in adult NSCs isolated from the SVZ of adult mice and demonstrated that inhibition of Notch activity by the γ-secretase inhibitor DAPT reduced the self-renewal potential of NSCs. Accordingly, adenoviral-mediated expression of EGFL7 in vitro decreased Notch-specific signaling and reduced proliferation and self-renewal of NSCs. Conversely, activation of Notch by a constitutive active form of Notch (NICD) rescued the EGFL7-mediated reduction of NSC self-renewal verifying that this effect was directly linked to Notch signaling. Congruent to the reduced proliferation rate measured in vitro, induced expression of EGFL7 in vivo significantly reduced the number of Ki-67 positive cells within the SVZ upon cerebroventricular injection of EGFL7 adenovirus.
Expression analyses in the developing brain showed single EGFL7-positive cells within the marginal zone of the neocortex as measured by in situ hybridization. These cells might be Cajal-Retzius cells, specialized neurons, which specifically express Reelin, which is a protein of the extracellular matrix known to control neuronal migration and differentiation. Interstingly, we could show that Reelin and EGFL7 are expressed in a subtype of neurons of the adult mouse cortex. This implied an interaction of both proteins and was verified by co-immunoprecipitation assays, suggesting an additional role for EGFL7 in neuronal maintenance. QRT-PCR based expression analyses in vitro comparing differentiated and non-differentiated NSCs displayed an increase in EGFL7 expression during the differentiation process, which was paralled by reduced Notch signaling. NSCs differentiated on coverslips coated with EGFL7 differentiated into all three cell types - neurons, oligodendrocytes and astrocytes. EGFL7 favored the formation of neurons as compared to control comparable to the effect of the Notch-inhibitor DAPT. Furthermore, additional oligodendrocytes were formed. These cells displayed a mature morphology with distinct sprouts and branches in contrast to the small and round oligodendrocytes that formed on control coverslips, which resembled us of precursor cells. Neurons and oligodendrocytes were formed at the expense of astrocytes. Congruently to the effect observed in vitro, adenoviral-based expression of EGFL7 in the SVZ yielded a slight induction of neuronal differentiation in vivo. Taken together, these results show for the first time a previously unrecognized role for EGFL7 in the brain by modulation of the Notch pathway in adult NSCs, which changes the proliferation and differentiation potential of adult NSCs in vitro and in vivo.
At present, there is a huge lag between the artificial and the biological information processing systems in terms of their capability to learn. This lag could be certainly reduced by gaining more insight into the higher functions of the brain like learning and memory. For instance, primate visual cortex is thought to provide the long-term memory for the visual objects acquired by experience. The visual cortex handles effortlessly arbitrary complex objects by decomposing them rapidly into constituent components of much lower complexity along hierarchically organized visual pathways. How this processing architecture self-organizes into a memory domain that employs such compositional object representation by learning from experience remains to a large extent a riddle. The study presented here approaches this question by proposing a functional model of a self-organizing hierarchical memory network. The model is based on hypothetical neuronal mechanisms involved in cortical processing and adaptation. The network architecture comprises two consecutive layers of distributed, recurrently interconnected modules. Each module is identified with a localized cortical cluster of fine-scale excitatory subnetworks. A single module performs competitive unsupervised learning on the incoming afferent signals to form a suitable representation of the locally accessible input space. The network employs an operating scheme where ongoing processing is made of discrete successive fragments termed decision cycles, presumably identifiable with the fast gamma rhythms observed in the cortex. The cycles are synchronized across the distributed modules that produce highly sparse activity within each cycle by instantiating a local winner-take-all-like operation. Equipped with adaptive mechanisms of bidirectional synaptic plasticity and homeostatic activity regulation, the network is exposed to natural face images of different persons. The images are presented incrementally one per cycle to the lower network layer as a set of Gabor filter responses extracted from local facial landmarks. The images are presented without any person identity labels. In the course of unsupervised learning, the network creates simultaneously vocabularies of reusable local face appearance elements, captures relations between the elements by linking associatively those parts that encode the same face identity, develops the higher-order identity symbols for the memorized compositions and projects this information back onto the vocabularies in generative manner. This learning corresponds to the simultaneous formation of bottom-up, lateral and top-down synaptic connectivity within and between the network layers. In the mature connectivity state, the network holds thus full compositional description of the experienced faces in form of sparse memory traces that reside in the feed-forward and recurrent connectivity. Due to the generative nature of the established representation, the network is able to recreate the full compositional description of a memorized face in terms of all its constituent parts given only its higher-order identity symbol or a subset of its parts. In the test phase, the network successfully proves its ability to recognize identity and gender of the persons from alternative face views not shown before. An intriguing feature of the emerging memory network is its ability to self-generate activity spontaneously in absence of the external stimuli. In this sleep-like off-line mode, the network shows a self-sustaining replay of the memory content formed during the previous learning. Remarkably, the recognition performance is tremendously boosted after this off-line memory reprocessing. The performance boost is articulated stronger on those face views that deviate more from the original view shown during the learning. This indicates that the off-line memory reprocessing during the sleep-like state specifically improves the generalization capability of the memory network. The positive effect turns out to be surprisingly independent of synapse-specific plasticity, relying completely on the synapse-unspecific, homeostatic activity regulation across the memory network. The developed network demonstrates thus functionality not shown by any previous neuronal modeling approach. It forms and maintains a memory domain for compositional, generative object representation in unsupervised manner through experience with natural visual images, using both on- ("wake") and off-line ("sleep") learning regimes. This functionality offers a promising departure point for further studies, aiming for deeper insight into the learning mechanisms employed by the brain and their consequent implementation in the artificial adaptive systems for solving complex tasks not tractable so far.
Statistical physics of power flows on networks with a high share of fluctuating renewable generation
(2010)
Renewable energy sources will play an important role in future generation of electrical energy. This is due to the fact that fossil fuel reserves are limited and because of the waste caused by conventional electricity generation. The most important sources of renewable energy, wind and solar irradiation, exhibit strong temporal fluctuations. This poses new problems for the security of supply. Further, the power flows become a stochastic character so that new methods are required to predict flows within an electrical grid. The main focus of this work is the description of power flows in a electrical transmission network with a high share of renewable generation of electrical energy. To define an appropriate model, it is important to understand the general set-up of a stable system with fluctuating generation. Therefore, generation time series of solar and wind power are compared to load time series for whole Europe and the required balancing or storage capacities analyzed. With these insights, a simple model is proposed to study the power flows. An approximation to the full power flow equations is used and evaluated with Monte-Carlo simulations. Further, approximations to the distributions of power flows along the links are analytically derived. Finally, the results are compared to the power flows calculated from the generation and load data.
In nature, society and technology many disordered systems exist, that show emergent behaviour, where the interactions of numerous microscopic agents result in macroscopic, systemic properties, that may not be present on the microscopic scale. Examples include phase transitions in magnetism and percolation, for example in porous unordered media, biological, and social systems. Also technological systems that are explicitly designed to function without central control instances, like their prime example the Internet, or virtual networks, like the World Wide Web, which is defined by the hyperlinks from one web page to another, exhibit emergent properties. The study of the common network characteristics found in previously seemingly unrelated fields of science and the urge to explain their emergence, form a scientific field in its own right, the science of complex networks. In this field, methodologies from physics, leading to simplification and generalization by abstraction, help to shift the focus from the implementation's details on the microscopic level to the macroscopic, coarse grained system level. By describing the macroscopic properties that emerge from microscopic interactions, statistical physics, in particular stochastic and computational methods, has proven to be a valuable tool in the investigation of such systems. The mathematical framework for the description of networks is graph theory, in hindsight founded by Euler in 1736 and an active area of research since then. In recent years, applied graph theory flourished through the advent of large scale data sets, made accessible by the use of computers. A paradigm for microscopic interactions among entities that locally optimize their behaviour to increase their own benefit is game theory, the mathematical framework of decision finding. With first applications in economics e.g. Neumann (1944), game theory is an approved field of mathematics. However, game theoretic behaviour is also found in natural systems, e.g. populations of the bacterium Escherichia coli, as described by Kerr (2002). In the present work, a combination of graph theory and game theory is used to model the interactions of selfish agents that form networks. Following brief introductions to graph theory and game theory, the present work approaches the interplay of local self-organizing rules with network properties and topology from three perspectives. To investigate the dynamics of topology reshaping, coupling of the so called iterated prisoners' dilemma (IPD) to the network structure is proposed and studied in Chapter 4. In dependence of a free parameter in the payoff matrix, the reorganization dynamics result in various emergent network structures. The resulting topologies exhibit an increase in performance, measured by a variance of closeness, of a factor 1.2 to 1.9, depending in the chosen free parameter. Presented in Chapter 5, the second approach puts the focus on a static network structure and studies the cooperativity of the system, measured by the fixation probability. Heterogeneous strategies to distribute incentives for cooperation among the players are proposed. These strategies allow to enhance the cooperative behaviour, while requiring fewer total investments. Putting the emphasis on communication networks in Chapters 6 and 7, the third approach investigates the use of routing metrics to increase the performance of data packet transport networks. Algorithms for the iterative determination of such metrics are demonstrated and investigated. The most successful of these algorithms, the hybrid metric, is able to increase the throughput capacity of a network by a factor of 7. During the investigation of the iterative weight assignments a simple, static weight assignment, the so called logKiKj metric, is found. In contrast to the algorithmic metrics, it results in vanishing computational costs, yet it is able to increase the performance by a factor of 5.
In the present work, the problem of protein folding is addressed from the point of view of equilibrium thermodynamics. The conformation of a globular protein in solution at common temperatures is quite complicated without any geometrical symmetry, but it is an ordered state in the sense of its biological activity. This complicated conformation of a single protein molecule is destroyed upon increasing the temperature or by the addition of appropriate chemical agents, as is revealed by the loss of its activity and change of the physical properties, and so on. Once the complicated native structures having biological activity are lost, it would be natural to suppose that the native structure could hardly be restored. Nevertheless, pioneers, such as Anson and Mirsky, recognized as early as in 1925 that this was not always the case. If one defines the folded and unfolded states of a protein as two distinct phases of a system, then under the variation of temperature the system is transformed from one phase state into another and vice versa. The process of protein folding is accompanied by the release or absorption of a certain amount of energy, corresponding to the first-oder-type phase transitions in the bulk. Knowing the partition function of the system one can evaluate its energy and heat capacity under different temperatures. This task was performed in this work. The results of the developed statistical mechanics model were compared with the results of molecular dynamic simulations of alanine poylpeptides. In particular, the dependencies on temperature of the total energy of the system and heat capacity were compared for alanine polypeptides consisting of 21, 30, 40, 50 and 100 amino acids. The good correspondence of the results of the theoretical model with the results of molecular dynamics simulations allowed to validate the assumptions made about the system and to establish the accuracy range of the theory. In order to perform the comparison of the results of theoretical model and the molecular dynamics simulations it is necessary to perform the efficient analysis of the results of molecular dynamics simulations. This task was also addressed in the present work. In particular, different ways to obtain dependence of the heat capacity on temperature from molecular dynamics simulations are discussed and the most efficient one is proposed. The present thesis reports the result of molecular dynamic simulations for not only alanine polypeptides by also for valine and leucine polypeptides. In valine and leucine polypeptides, it is also possible to observe the helix↔random coil transitions with the increase of temperature. The current thesis presents a work that starts with the investigation of the fundamental degrees of freedom in polypeptides that are responsible for the conformational transitions. Then this knowledge is applied for the statistical mechanics description of helix↔coil transitions in polypeptides. Finally, the theoretical formalism is generalized for the case of proteins in water environment and the comparison of the results of the statistical mechanics model with the experimental measurements of the heat capacity on temperature dependencies for two globular proteins is performed. The presented formalism is based on fundamental physical properties of the system and provides the possibility to describe the folding↔unfolding transitions quantitatively. The combination of these two facts is the major novelty of the presented approach in comparison to the existing ones. The “transparent” physical nature of the formalism provides a possibility to further apply it to a large variety of systems and processes. For instance, it can be used for investigation of the influence of the mutations in the proteins on their stability. This task is of primary importance for design of novel proteins and drug delivering molecules in medicine. It can provide further insights into the problem of protein aggregation and formation of amyloids. The problem of protein aggregation is closely associated with various illnesses such as Alzheimer and mad cow disease. With certain modifications, the presented theoretical method can be applied to the description of the protein crystallization process, which is important for the determination of the structure of proteins with X-Rays. There many other possible applications of the ideas described in the thesis. For instance, the similar formalism can be developed for the description of melting and unzipping of DNA, growth of nanotubes, formation of fullerenes, etc.
Nanocarbon structures, such as fullerenes and nanotubes, have generated considerable interest and research, due to their unique properties and potential applications. In this thesis, we present a study of the phase transition properties of nanocarbon clusters,in particular, we pay special consideration to fullerenes. The work presented in this thesis is largely theoretical and computational in nature, employing as a tool, molecular dynamics simulations to probe the dynamic stability of fullerenes and associated nanocarbon structures such as graphenes and nanotubes.
Purpose of the Study: The purpose of the current study was to evaluate the role of radiofrequency (RF) and microwave (MW) ablation in the treatment of pulmonary neoplasms. Materials and Methods: From March 2004 to January 2009, 164 patients (92 males, 72 females; mean age 59.7 years, SD: 10.2) underwent computed tomography (CT)-guided percutaneous RFA of pulmonary malignancies. RFA was performed on 248 lung lesions (20 primary lesions and 228 metastatic lesions) in 248 sessions (one lesion per session). Tumors were pathologically proven and were classified as primary lung neoplasms in 20 patients (non-small cell lung cancer) and as metastatic lung neoplasms in 144 patients. RFA was performed using: a) CelonProSurge bipolar internally cooled applicator b) RITA®StarburstTMXL. From December 2007 to October 2009, 80 patients (30 males, 50 females; mean age 59.7 years, range: 48-68, SD: 6.4) underwent computed tomography (CT) guided percutaneous MW ablation of pulmonary metastases from variable histopathological primaries. MW was performed on 130 lung lesions in 130 sessions (one lesion per session) using Valleylab TM system. Results: The overall success rate of RFA was 67.7% (168/248 lesions), with overall failure rate either due to tumor residue or recurrence on follow up in 32.3% (80/248) with mean time to tumor progress was 5.6 months SD: 2.99 (Range:1-18 months). Complete successful ablation was achieved in patients treated by MWA in 73.1% (95/130 lesions), with failure rate either due to tumor residue or recurrence on follow up in 26.9% (35/130) with mean time to tumor progress 6 months SD: 2.83 (Range:1-12months). Correlation of the histopathological type of the lesion and the end result of ablation therapy revealed insignificant correlation in both RFA and MWA (p > 0.1). The preablation tumor size was one of the most significant factors that determined the end result of ablation. In RFA successful tumor ablation was significant statistically for lesions with maximal axial diameter up to 2.5 cm (110/140) in comparison to lesions of more than 2.5 cm in maximal axial diameter (58/108) (Fisher’s exact test: p < 0.0001). While in MW ablated lesions successful tumor ablation was significant statistically for lesions with maximal axial diameter up to 3 cm (90/110) in comparison to lesions of more than 3 cm in maximal axial diameter (5/20) (Fisher’s exact test: p < 0.001). The location of the lesion was another important factor that determined the end result of ablation. In both RFA and MWA successful ablation was significantly more correlated to peripheral lesions (RFA: 120/160, 80% / MWA: 80/100, 80%) than centrally located lesions (RFA: 48/88, 50%; MWA: 15/30, 50%) (Fisher’s Exact Test: p > 0.001). For successfully RFA ablated cases mean preablation tumor volumes 1.9 cc SD: 0.9 (range: 0.3 - 4.25 cc) while for failed cases the mean tumor volume was 3.7 SD: 2.4 (range: 0.8 – 6.8cc). For successfully MW ablated cases the mean preablation tumor volume: 2.4 cc SD: 2.2 (range: 0.25-8.2 cc) while for failed cases the mean tumor volume was 3.5 SD: 2.6 (range: 0.3 – 7.1 cc). In RFA the survival rates at 12, 24 and 36 months were 90%, 78% and 68% respectively while in MWA treated patients the survival rate within 12 months follow up period was 96% while at 20 month the survival rate was 77%. Complications associated with the ablation therapy were: a) procedure related mortality: 0.4% (1/248) in RFA due to massive pulmonary hemorrhage versus 0% (0/130) in MWA, b) pneumothorax: 11.3% (28/240) in RFA versus 8.5% (11/130) in MWA, c) pulmonary Hemorrhage: 17.7% (44 of 248 sessions) of which one patient had massive uncontrolled bleeding and immediate death versus 6.2% (8/130) in MWA, d) pleural effusion: 3.2 % (8 of 248 sessions) in RFA versus 3.8 % (6/130) in MWA, e) hemoptysis: 4% (10/248) in RFA versus 4.6% (6/130) in MWA ranging from mild tinged sputum to frank bleeding, f) infection: 0.4% (1/248) in RFA, versus 0% in MWA, and g) post ablation pain: 10% (25/248) in RFA versus 9.2% (12/130) in MWA. Pain was generally adequately controlled by analgesics. Conclusion: Radiofrequency and microwave ablation are effective minimally invasive tools and may be safely applied for management of lung malignancy. The success of ablation therapy is significantly correlated to the preablation tumor size, volume and tumor location.
2.1. Background & purpose The recent introduction of new technical innovations such as CT perfusion (CTP) and dual energy CT (DECT) increases the diagnostic abilities of CT for imaging of the head and neck (H&N). The aim of this work was to evaluate the role of CTP and DECT in head and neck imaging. The first part tests whether CTP can differentiate between malignant H&N tumors and surrounding muscle, and discusses the impact of arterial input selection and tumor region of interest (ROI) on CTP of H&N cancer. The second part of the study evaluates radiation dose and image quality of DECT of the H&N. Finally the use of DE derived weighted averaging to improve lesion delineation and image quality is discussed. 2.2. Patients and methods CT perfusion Retrospective analysis of CTP was done for a total number of 55 cases of H&N tumors. Perfusion parameters were calculated for 33 cases of squamous cell carcinoma (SCC) and compared to those of muscles. CTP parameters of 50 cases of H&N tumors calculated using different arterial input functions were compared. CTP was calculated for 28 SCC cases using the single dynamic CT section that shows maximal tumor dimension compared to using average values obtained from all tumor-containing dynamic CT sections. Dual energy CT of head and neck This prospective part of the study was further divided into 2 parts. In the first part 32 consecutive patients underwent DECT of the H&N and were compared to a standard single energy CT (SE) control group. Radiation doses were compared. Weighted-average images from raw data of the 2 DE tubes (weighting factor 0.3 from 80 kVp and 0.7 from 140 KVp) were compared to SE images. Image noise was compared at 5 anatomic levels. Two blinded readers compared subjective overall image quality on a 5-point grading scale. In the second part 35 proved SCC cases underwent DECT of the neck. Pure 140 kVp and 80 kVp image datasets as well as weighted-average images from raw data of the 2 DE tubes at weighting factors 0.3, 0.6, 0.8 (30%, 60% and 80% from 80 kVp raw data respectively) were reconstructed. Objective image noise, contrast to noise ratio (CNR) and subjective image quality were compared between the 5 image datasets. Results CT perfusion Tumor perfusion parameters were significantly higher than those of muscle (p <0.05). Significant high correlation with no significant differences between the means (p >0.05) were observed between perfusion parameters obtained using internal carotid artery (ICA) versus external carotid artery (ECA) and ipsilateral versus contralateral ICA. High correlation was observed between perfusion parameters calculated using one section with maximal tumor dimension and the average of multiple sections. Differences between the means were non significant, p values>0.05. The 95% limits of agreement between repeated measurements using average of multiple sections were slightly narrower for blood volume and permeability than those of repeated measurements using one section. Dual energy CT of head and neck CTDIvol was 12% lower with DE than SECT (p<0.0001). There were no significant differences in objective noise between DECT and SECT at any of the anatomic levels (p >0.05). There were no significant differences between DE- and SECT in attenuation measurements, all p values >0.05. No significant differences in subjective image quality scores were observed between DE- and SECT at any of the 5 anatomic levels (p >0.05). At weighting factor 0.6 the lesion CNR was significantly higher than at weighting factor 0.3 and at pure 140 kVp image dataset (p< 0.0001); while non significantly lower than at weighting factor 0.8 and pure 80 kVp (p=1.00). The 0.6 weighting factor was rated the best at subjective image quality and lesion delineation. 2.4. Conclusion In conclusion; this study demonstrated the ability of CTP to differentiate SCC from surrounding muscle tissue. The choice of arterial input selection has no significant impact on quantitative CTP of H&N tumors. CTP of SCC calculated from one section with maximal tumor dimensions and the average values from multiple sections are not significantly different. The second part of the study showed that DE scanning can be routinely used for H&N imaging; preserving high diagnostic image quality even when the radiation dose was lowered by 12%. Average weighting of DE raw data, with a weighting factor 0.6, results in significant improvement in both tumor delineation and image quality.
Aim: To study the changes in leiomyoma volume following uterine artery embolization (UAE) and to correlate these changes with the initial leiomyoma volume and location within the uterus and to evaluate the impact of preprocedural prediction of the best tube angle obliquity for visualization of the uterine artery origin using 3D-reconstructed contrast-enhanced MR angiography (CE-MRA) on the radiation dose, fluoroscopy time and contrast medium volume used during UAE. Materials and Methods: The study was performed in two parts. The first part was retrospectively done on 28 patients (age range: 37-57 years, mean: 48 years, SD: 4.81) in whom UAE was performed. All leiomyomas in all patients were evaluated. In total, 84 leiomyomas were evaluated. MRI studies were performed before, 3 months and 1 year after UAE. The volumes and location of each leiomyoma in each patient were evaluated in consensus by two radiologists. The second part included 40 consecutive patients (age range: 37-56 years, mean: 46 years, SD: 4.49) and was done in a controlled prospective/retrospective manner. In 20 sample patients (prospective part) pre-procedural prediction of the best tube angle obliquity was predicted using 3D-reconstructed CE-MRA and provided to the interventionalist. 3D-reconstruction was done using Inspace application. The radiation dose, fluoroscopy time and contrast medium volume for those patients were compared with the data of the last 20 procedures (control) performed by the same interventionalist (retrospective part). Results: For the first part the mean pre-embolization volume was 51.6 cm3 range:0.72-371.1cm3, SD=79.3). At 3-month follow-up 83 (98.8%) leiomyomas showed a mean volume reduction of 52.62% (range: 12.79–96.67%, SD=21.85) and 1 leiomyoma (1.2%) increased in volume. At 1-year follow-up 5 (6%) leiomyomas were not detectable, 72 (85.7%) showed a further mean of 20.5% (range: 2.52–58.72%, SD=11.92) volume reduction compared to the 3-month follow-up volume and 7 (8.3%) leiomyomas increased in volume. A statistically significant (p=0.026 at 3-month, p=0.0046 at 1-year) difference in percentage of volume change was observed based on leiomyoma location; submucous leiomyomas showed the largest volume reduction. The initial leiomyoma volume showed a weak negative correlation (Spearman's correlation-coefficient =-0.35 at 3m and -0.36 at 1y) with the leiomyoma volume change. For the second part the tube angle prediction resulted in a significant reduction of the radiation dose utilized (p<0.001), fluoroscopy time (p=0.002) and contrast medium volume (p<0.001) for the sample patients when compared with the control patients. The overall radiation dose was reduced from a mean of 11044 μGym2 to a mean of 4172.5 μGym2, fluoroscopy time was reduced from a mean of 15.45 minutes to 8.81 minutes and contrast medium volume was reduced from a mean of 135 ml to 75 ml. Conclusion: UAE results in significant leiomyoma volume reduction at 3-month and 1- year follow-up. The leiomyoma location plays an important role in volume changes while the initial leiomyoma volume plays a minor role. Pre-procedural prediction of the best tube angle obliquity for visualization of the origin of the uterine artery using 3D-reconstructed CE-MRA results in a significant reduction of the radiation dose, fluoroscopy time and contrast medium volume used during UAE.
Philosophy is essentially dialectical. One gets into a dialectic by a puzzle, an aporia in thought and understanding. The point of philosophizing is not (necessarily) to get hold of the ultimate, objective, and immutably correct answers. The point is rather to come to be able to see one’s way out of the aporia, and to understand how one got into it in the first place.
The essay that follows – which I am submitting as my dissertation – is dialectical in two senses. As a piece of philosophizing, the essay is guided by a problem, the problem of understanding how laws of nature are possible, and how it is possible for us to know them. The movement of thought generated by attempts to get out of the problem then yields some ideas that do not stay in the original context in which the problem was felt to exist. Two important ones are, first, perceptual experience is not the only ultimate source of warrant we have for empirical knowledge claims, and second, perceptual experience is not the only epistemically significant experience we can have. Both are consequences of the idea that the mastery of skills is a form of interaction with nature that provides epistemic warrant for nomological claims. I shall leave it to the epilogue to examine how this view of skills contrasts with the ways skills are ordinarily thought of in philosophy and the implication of it for empiricism.
The other sense in which the essay is dialectical is more interesting, and it has to do with the way in which I approach the problem that got me into started, namely, by paying special attention to the dialectic exchange between the realists and the antirealists about the laws of nature. Antirealism about the lawfulness of nature has experienced something like a post-Humean revival since the publication of van Fraassen’s The Scientific Image. Most, including me, have strong realist intuitions about nomological “connections” in nature. Philosophical positions that are strongly counterintuitive have mostly not ended well in history. So it becomes something of a puzzle why antirealism about laws of nature manages to enjoy popularity every now and then.
ABCB9 is a peptide transporter belonging to the ATP-binding cassette (ABC) transporter subfamily B. Due to its high sequence identity to the transporter associated with antigen processing (TAP) the protein was named TAP-like (TAPL). The primary aim of this PhD thesis was the functional characterization of the TAPL transport complex. Despite the lack of TAPL function in the classical MHC class I pathway an involvement of TAPL in antigen presentation was still suggested. Apart from the crucial role of TAP for peptide delivery into the ER, TAP-independent translocation pathways in professional antigen presenting cells (pAPC) have been proposed, but not identified so far. Remarkably, TAPL mRNA and protein expression is strongly induced during differentiation of monocytes to immature and mature dendritic cells. This result was confirmed in the promonocytic cell line THP-1, which was used as a model system for monocyte to macrophage differentiation. By using quantitative immunofluorescence microscopy and subcellular fractionation, TAPL was detected in the lysosomal compartment co-localizing with the lysosome associated membrane protein 2 (LAMP-2) thus excluding the ER-localization formerly reported. Furthermore, by in vitro assays, a TAPL-specific and ATPdependent translocation of peptides into isolated lysosomes was demonstrated. Hence, TAPL is a candidate mediating peptide transport in alternative antigen presentation pathways in pAPCs. The presence of an extra N-terminal transmembrane domain (TMD0) lacking sequence homology to any known protein distinguishes TAPL from most other ABC transporters of its subfamily. By dissecting the TAPL translocation complex into its four putative transmembrane helices containing TMD0 and the core complex, distinct functions to the core complex and TMD0 were assigned. The core-TAPL complex composed of six predicted transmembrane helices and the nucleotide-binding domain (NBD) was expressed transiently in HeLa or stably in Raji cells. Crude membranes containing core-TAPL showed the same peptide transport activity as wt-TAPL demonstrating that the six core helices and the NBD are sufficient for peptide transport. This result also shows that the core transport complex is correctly targeted to and assembled in the membrane. Strikingly, in contrast to the wt transporter, the core complex localizes only partially to lysosomes and is mistargeted to the plasma membrane as observed by immunofluorescence microscopy and confirmed biochemically by cell surface biotinylation. Thus, a crucial role for TMD0 in proper subcellular targeting can be postulated. The vast majority of biological processes are mediated by protein complexes, hence characterization of such protein-protein-interactions is essential for understanding protein function on the cellular level. To identify interaction partners of TAPL, the transporter was isolated by tandem affinity purification. By tandem mass spectrometry the membrane proteins LAMP-1 and LAMP-2 were deciphered as specific proteins interacting with wt-TAPL. Notably, core-TAPL lacks these interactions indicating a role for TMD0 in recruiting other proteins. These results were verified for endogenous TAPL by co-immunoprecipitation. Using cells deficient in LAMP-1 and/or in LAMP-2 an escort function for the LAMP proteins was excluded. Very importantly, the physiological function of the LAMP-1and LAMP-2 interaction with TAPL is an increase in stability, since in their absence half-life of TAPL is drastically reduced.
Magnetic characteristics of metal organic low-dimensional quantum spin systems at low temperatures
(2010)
In dieser Arbeit wurden neue Klassen von niedrigdimensionalen metallisch-organischen Materialien untersucht, die es ermöglichen interessante quantenkritische Phänomene (quantum critical phenomena, QCP) wie die Bose-Einstein-Kondensation (Bose-Einstein condensation, BEC) der magnetischen Anregung in gekoppelten Spin-Dimer-Systemen, den Berezinskii-Kosterlitz-Thouless Übergang (Berezinskii-Kosterlitz-Thouless transition, BKT) und die Divergenz des magnetokalorischen Effekts (magnetocaloric effect, MCE) in Quanten-Spinsystemen beim Anlegen eines magnetischen Feldes zu beobachten. Die Niedrigdimensionalität der untersuchten Systeme war sowohl für die theoretische Beschreibung, als auch für die experimentelle Beobachtung der Phänomene von großer Bedeutung. Aus theoretischer Sicht eröffnet die Beschäftigung mit diesen Systemen die Möglichkeit, einfache Modelle zu entwickeln, die exakt lösbar sind und erlaubt somit ein qualitatives Verständnis der magnetischen Phänomene. Von experimenteller Seite ist es von größtem Interesse, dass durch das Zusammenspiel von Niedrigdimensionalität, konkurrierenden Wechselwirkungen und starker Quantenfluktuation exotische und aufregende magnetische Phänomene (quantenkritische Phänomene) entstehen, die mit verschiedenen experimentellen Methoden untersucht werden können. Um die intrinsischen Eigenschaften der quantenkritischen Phänomene zu verstehen ist es wichtig, die Phänomene an einfachen und gut kontrollierbaren niedrigdimensionalen Modellsystemen wie ein- oder zweidimensionalen Systemen zu untersuchen. ...
Paleoecology is the study of organismal interactions with the environment in the geological past. Organisms are influenced in their distribution and abundance by abiotic factors such as temperature and precipitation. A change in these factors, for example by major climatic shifts, would then affect the communities of organisms. Studying this hypothesized causal link between climatic and faunal change is especially interesting for the Plio-Pleistocene of East Africa due to the fact that our own ancestors also inhabited these regions. Both the Turkana basin in Kenya and the Lake Albert region in Uganda offer unique opportunities to investigate these paleoecological issues. Their late Miocene through Pleistocene deposits provide a very good record of climatic, vegetation and faunal change in East Africa (Pickford et al. 1993, Leakey et al. 1995, 1998, McDougall & Feibel 2003, Wynn 2004). This study focuses on the mammal family Bovidae as they are good indicator of vegetation and environment (e.g. Vrba 1980, 1995, Shipman & Harris 1988, Bobe & Eck 2001, Bobe & Behrensmeyer 2004, Bobe et al. 2007). Bovidae are quite species-rich and inhabit a wide range of habitats from tropical rain forests to deserts which predicates their array of morphological adaptations (ecovariables) to these environments. Diet is the ecovariable that is most to climate and thus habitat change. Therefore, the fossil Bovidae are especially suitable for reconstructing past environments. The objective of this thesis is to test the hypothesis that, from the late Miocene through the Holocene, Africa has experienced an overall increase in aridity and concomitant pulses of habitat change. The hypothesis predicts that increasing aridity causes a likewise growth in the abundance of taxa adapted to open arid environments. In particular, an increase in bovid grazers should be observed in combination with a decrease of bovid browsers. To test this hypothesis, I examine the fossil bovid communities from each stratigraphic member of Lake Turkana (Lothagam, Kanapoi, West Turkana and Koobi Fora) and Lake Albert (Nkondo-Kaiso region) and through a taxonomic and a functional perspective reconstruct the paleoenvironments and -climates from approximately 8 to 0.6 Ma. This study is the first to use taxonomic and ecomorphological data together to reconstruct the paleoenvironments of the Turkana basin and the Nkondo-Kaiso region of Lake Albert. In a first analysis, mesowear, as introduced by Fortelius & Solounias (2000), is used to gather information about the diet of bovids. As a result of my preliminary investigations on upper vs. lower molars of recent species, the sample of fossil bovid specimens from the Turkana basin and Lake Albert were found to be unsuitable to reveal a meaningful diet reconstruction. Therefore, the bovids are assigned to diet categories based on literature. For each member of the time period from 8.0 to 0.6 Ma, I provide a detailed characterization of the bovid fauna in terms of α- and β- diversity both on tribe and diet level based on presence-absence as well as for the Turkana basin on abundance data. Statistical comparisons between the fossil bovid communities and those in modern protected areas with known vegetation and climatic conditions have yielded modern analogues for each stratigraphic member. Following that I provide paleoclimatic conditions such as assumed mean annual temperature for each member. Based on abundance of diet categories in the bovid communities, the paleoclimate of the Turkana basin was in general cooler and considerably more humid during the late Miocene to the Pleistocene than today. The mean annual temperature at Lothagam is assumed as 22.2 °C, the annual precipitation as 685 mm for 8.0 – 6.54 Ma and 4.9 – 3.4 Ma. The intervening time period is characterized by a slightly lower mean annual temperature and precipitation (20.3 °C, 583 mm). From 4.17 to 4.07 Ma Kanapoi faced 21.3 °C and 592 mm rainfall. In the eastern part of the basin the climate was warmer and more humid (3.4 – 2.68 Ma: 26.2, 961 mm; 2.68 – 1.3 Ma: 27.1 °C, 935 mm) from 3.4 to 1.3 Ma than in the preceeding eras. In the western part, the climate became warmer and more humid ~500,000 years later and was more variable than that in the eastern basin. From 2.94 to 2.52 Ma the mean annual temperature was 26.2 °C and the annual precipitation 961 mm. Between 2.34 and 1.6 Ma the climate again cooled and became drier as before 2.94 Ma. A second shift to higher temperature and precipitation occurred after 1.6 Ma (27.1 °C, 935 mm) lasted until 1.34 Ma. The results of the bovid community analyses do not support the hypothesis of increasing aridity in Eastern Africa during the late Mio- to Pleistocene. Instead, the results show that the bovid communities differed much over time and on a relatively small spatial scale. Regional paleovegetation and paleoclimate exhibit fluctuations through the studied time period at western Turkana and differences between the western and eastern part of the Turkana basin. This is indicative of a patchy habitat distribution both on temporal and spatial levels. Increased climate variability predicts an increase in landscape complexity as proposed by the ‘variability selection hypothesis’ (Potts 1998a+b). Therefore, this thesis research supports the hypothesis of increased landscape complexity on the spatial level. This study has important implications for future research. First, an analysis based on ecovariable characteristics such as diet may be preferred to a taxonomic analysis. Second, abundance data should be used for an ecovariable analysis because the results then provide more precise information on the paleovegetation and –climate than just the presence of these adaptations in the faunal community. Lastly, as this study is based on one mammal family, further studies on other mammal groups should be conducted to increase the database of exploited resource by the entire faunal community. Most significantly this study provides a basis for new interpretations of faunal community distributions. It also raises the question whether small scale spatial community variability is also to be expected at other fossil sites. If so then this methodology has important implications for reconstructions of paleovegetation and paleoclimate.
In this thesis, we study the properties of excitations in the systems of interacting fermions. These excitations can be bosonic such as collective modes which we handle in the first part of this thesis or fermionic like quasi particles and quasi holes. One of the important points, to investigate the excitations is their damping which corresponds to their life-time in the system. This thesis consists of two parts, where in both parts, we use the field-theoretical methods to examine the problem.
The political, the urban, and the cosmopolitan : the 1970s generation in Romanian-German poetry
(2010)
This study is an introduction to the body of work produced by the German poets who were born during or after World War II in Romania and whose almost simultaneous debut lies in the relatively liberal period 1965 – 1971. Helped onto the Romanian-German literary scene by a propitious environment and informed by the socialist ideology they were born “into,” the poets born between 1942 and 1955 formed a remarkable generation unit which sought to significantly renew German-language literature in Romania. Rejecting identification with the insulary Romanian-German communities, the young poets strove to create a socially and politically relevant verse expressing an urban and cosmopolitan attitude. The growing nationalist rhetoric and isolationist stance of Romania's regime and the material and psychological hardships endured by its population through the 1970s and 80s forced the generation to revise its incipient enthusiasm for Romanian socialism. Increasingly, the poets' work came to depict the threatened existence of the German minority and the harsh general living conditions in Romania and to provide an alternative to the absurd official proclamations of a “golden age” under Ceauşescu, despite the poetry's growing reliance on obscuring literary techniques. The emigration of most of the generation members in the mid to late 1980s brought about the eventual unravelling of the generation unit and marks the end of my study. By following the evolution of three themes – social and political engagement, the German minority, and the urban environment – which define the poets as a generation throughout their literary careers in Romania, the analysis illuminates not only the generation's development from identification with Romanian socialism and rejection of the German minority to criticism of the country's policies and a renewed interest in the fate of the German community but also the changing possibilities and limits of literary expression under communism. In addition to providing an introduction to the body of work created by the 1970s generation in Romania, the study also expands the understanding of German literature in the 20th century by providing new material on literature written under totalitarianism and of intercultural German literature.