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Background
Renal cell carcinoma (RCC) is marked by high mortality rate. To date, no robust risk stratification by clinical or molecular prognosticators of cancer-specific survival (CSS) has been established for early stages. Transcriptional profiling of small non-coding RNA gene products (miRNAs) seems promising for prognostic stratification. The expression of miR-21 and miR-126 was analysed in a large cohort of RCC patients; a combined risk score (CRS)-model was constructed based on expression levels of both miRNAs.
Methods
Expression of miR-21 and miR-126 was evaluated by qRT-PCR in tumour and adjacent non-neoplastic tissue in n = 139 clear cell RCC patients. Relation of miR-21 and miR-126 expression with various clinical parameters was assessed. Parameters were analysed by uni- and multivariate COX regression. A factor derived from the z-score resulting from the COX model was determined for both miRs separately and a combined risk score (CRS) was calculated multiplying the relative expression of miR-21 and miR-126 by this factor. The best fitting COX model was selected by relative goodness-of-fit with the Akaike information criterion (AIC).
Results
RCC with and without miR-21 up- and miR-126 downregulation differed significantly in synchronous metastatic status and CSS. Upregulation of miR-21 and downregulation of miR-126 were independently prognostic. A combined risk score (CRS) based on the expression of both miRs showed high sensitivity and specificity in predicting CSS and prediction was independent from any other clinico-pathological parameter. Association of CRS with CSS was successfully validated in a testing cohort containing patients with high and low risk for progressive disease.
Conclusions
A combined expression level of miR-21 and miR-126 accurately predicted CSS in two independent RCC cohorts and seems feasible for clinical application in assessing prognosis.
Calcium ions can activate intracellular signalling cascades that control key functions in all types of neurons. These functions include neuronal excitability and excitation, synaptic plasticity, cell migration, transmitter release, gene transcription, and apoptosis. The major intracellular neuronal store for calcium is the endoplasmic reticulum (ER), a continuous and dynamic, membranous organelle that extends through all parts of neurons, from axons to dendrites. The calcium concentration in the ER is appr. one thousand fold higher than in the cytosol and this calcium gradient is built up by the sarco-/endoplasmic reticulum calcium ATPase (SERCA) pump that pumps calcium from the cytosol into the ER.
Despite detailed knowledge about various induced calcium signals within neurons, it was still elusive, how resting neurons maintain their ER calcium content at rest. In order to shed light on the calcium homeostasis at rest, the targeted-esterase induced dye loading (TED) technique was improved. TED allows the direct and non-disruptive visualization of ER calcium in presence of extracellular calcium, thus enabling to visualize the dynamic flow of ER calcium. TED is based on the overexpression of an ER-targeted mouse carboxylesterase. Inside the ER the carboxylesterase cleaves the acetoxymethyl ester calcium dye Fluo5N, AM, thereby converting this dye into a calcium sensitive, low-affinity, cell membrane impermeable calcium indicator that is trapped in the ER. When bound to calcium ions and excited by fluorescent light, its fluorescence intensity increases one hundredfold compared to the calcium-free state.
It was observed that calcium withdrawal from resting neurons led to a rapid loss of calcium from both the ER and the cytosol, which recovered upon calcium re-addition. It was concluded that a strong calcium influx and efflux must exist under resting conditions that maintain a constant calcium concentration in neurons at rest. TED calcium imaging could visualize this resting calcium influx event. When the inhibitor of store-operated calcium entry (SOCE), SKF-96365, was acutely added to neurons an immediate decline in ER calcium levels was observed, whereas cytosolic calcium levels remained constant. Based on these findings, a novel calcium homeostasis model is proposed in which a strong SOCE-like calcium influx and a corresponding calcium efflux maintain the ER calcium levels at rest. These fluxes are adapted to disturbances in order to maintain a constant calcium level in resting neurons.
This study visualizes for the first time the resting calcium flow into the ER. The calcium enters the neurons via a store-operated calcium entry-like mechanism, a form of calcium influx that was thought to be induced by signalling events.
Background
People with severe disabilities, e.g. due to neurodegenerative disease, depend on technology that allows for accurate wheelchair control. For those who cannot operate a wheelchair with a joystick, brain-computer interfaces (BCI) may offer a valuable option. Technology depending on visual or auditory input may not be feasible as these modalities are dedicated to processing of environmental stimuli (e.g. recognition of obstacles, ambient noise). Herein we thus validated the feasibility of a BCI based on tactually-evoked event-related potentials (ERP) for wheelchair control. Furthermore, we investigated use of a dynamic stopping method to improve speed of the tactile BCI system.
Methods
Positions of four tactile stimulators represented navigation directions (left thigh: move left; right thigh: move right; abdomen: move forward; lower neck: move backward) and N = 15 participants delivered navigation commands by focusing their attention on the desired tactile stimulus in an oddball-paradigm.
Results
Participants navigated a virtual wheelchair through a building and eleven participants successfully completed the task of reaching 4 checkpoints in the building. The virtual wheelchair was equipped with simulated shared-control sensors (collision avoidance), yet these sensors were rarely needed.
Conclusion
We conclude that most participants achieved tactile ERP-BCI control sufficient to reliably operate a wheelchair and dynamic stopping was of high value for tactile ERP classification. Finally, this paper discusses feasibility of tactile ERPs for BCI based wheelchair control.
The present thesis “Hot spin carriers in cold semiconductors” investigates hot carrier effects in low-temperature photoinduced magneto-optical Kerr effect (MOKE) microscopy of electron spins in semiconductor heterostructures. Our studies reveal that the influence of hot photocarriers in magneto-optical pump-probe experiments is twofold.
First, it is commonly assumed that a measurement of the local Kerr rotation using an arbitrary probe wavelength maps the local electron spin polarization. This is the fundamental assumption that underlies the widely used two-color MOKE microscopy technique. Our continuous-wave (cw) spectroscopy experiments demonstrate that this assumption is not correct.
At low lattice temperatures the nonresonant spin excitation by the focused pump laser inevitably leads to a strong heating of the electron system. This heating, in turn, locally modifies the magneto-optical coefficient which links the experimentally observed Kerr rotation to the electron spin polarization. As a consequence, the spin-induced local Kerr rotation is augmented by spin-unrelated changes in the magneto-optical coefficient. A spatially resolved measurement of the Kerr rotation then does not correctly map the electron spin polarization profile.
We demonstrate different ways to overcome this limitation and to correctly measure the electron spin profile. For cw spectroscopy we show how the true local electron spin polarization can be obtained from a quantitative analysis of the full excitonic Kerr rotation spectrum. Alternatively, picosecond MOKE microscopy using a spectrally broad probe laser pulse mitigates hot-carrier effects on the magneto-optical spin detection and allows to directly observe the time-resolved expansion of optically excited electron spin packets in real-space.
Second, we show that hot photocarriers strongly modify the spin diffusion process. Owing to their high kinetic energy, hot carriers greatly enhance the electron spin diffusion coefficient with respect to the intrinsic value of the undisturbed system. Therefore, for steady-state excitation the spin diffusivity is strongly enhanced close to the pump spot center where hot electrons are present. Similarly, for short delays following pulsed excitation the high initial temperature of the electrons leads to a very fast initial expansion of the spin packet which gradually slows as the electrons cool down to the lattice temperature.
While few previous publications have recognized the possible influence of hot carriers on the electron spin transport properties, the present work is the first to directly observe and quantify such hot carrier contributions. We develop models which for steady-state and pulsed excitation quantitatively describe the experimentally observed electron spin diffusion. These models are capable of separating the intrinsic spin diffusivity from the hot electron contribution, and allow to obtain spin transport parameters of the undisturbed system.
We perform extensive cw and time-resolved spectroscopy studies of the lattice temperature dependence of the electron spin diffusion in bulk GaAs. Using our models we obtain a consistent set of parameters for the intrinsic temperature dependence of the electron spin diffusion coefficient and spin relaxation time and the hot carrier contributions which quantitatively describes all experimental observations. Our analysis unequivocally demonstrates that we have, as we believe for the first time, arrived at a coherent understanding of photoinduced low-temperature electron spin diffusion in bulk semiconductors.
Chlamydia trachomatis is an obligate intracellular pathogen that replicates inside a vacuole, the so-called inclusion. During replication by a biphasic life-cycle Chlamydia secrete via their type 3 secretion system various effector proteins into the inclusion lumen, the inclusion membrane or the host cell cytosol to form their favored replication niche. Chlamydia-infected cells are highly resistant against apoptosis since the replicative form of Chlamydia is non-infectious and premature cell death would cause complete loss of one Chlamydia generation. The bacteria block apoptosis by preventing mitochondrial outer membrane permeabilization. Various proteins with anti-apoptotic function are enriched in Chlamydia-infected cells such as Mcl-1, cIAP2, Survivin or HIF1α. The accumulation of these proteins is a result of increased gene expression and direct protein stabilization. However, the molecular mechanisms and involved bacterial effector proteins are mostly unknown.
With this work the molecular mechanisms of Mcl-1 stabilization and the participation of chlamydial factors were investigated. Mcl-1 is a member of the Bcl-2 protein family and has an extremely short half-life causing its permanent ubiquitination and subsequent degradation by the 26S proteasome under normal homeostasis whilst Mcl-1 accumulation results in apoptosis inhibition. It was shown that during C. trachomatis infection Mcl-1 ubiquitination is reduced causing its stabilization albeit no cellular ubiquitin-proteasome-system components are involved in this process. However, C. trachomatis express the two deubiquitinases ChlaDUB1 and ChlaDUB2 which are mostly uncharacterized. With this work the expression profile, subcellular localization, substrates and function of the deubiquitinases were investigated. It was shown that ChlaDUB1 is secreted to the surface of the inclusion where it interacts with Mcl-1 which is accumulated in the proximity of this compartment. By utilization of infection experiments, heterologous expression systems and in vitro experiments a direct interaction of ChlaDUB1 and Mcl-1 was demonstrated. Furthermore, it was shown that Mcl-1 is deubiquitinated by ChlaDUB1 causing its stabilization. During replicative phase of infection, ChlaDUB2 seems to be accumulated in the chlamydial particles. However, ChlaDUB2 substrates could not be identified which would give an indication for the physiological role of ChlaDUB2.
Since 2011, a protocol to transform C. trachomatis with artificial plasmid DNA is available. As part of this work the transformation of C. trachomatis with plasmid DNA suitable for the permanent or inducible protein overexpression on a routinely basis was established. In addition, the first targeted homologous recombination into the chlamydial genome to replace the ChlaDUB1 gene by a modified one was performed and validated. The targeted homologous recombination was also used to create a ChlaDUB1 knock-out mutant; however deletion of ChlaDUB1 seems to be lethal for C. trachomatis. Due to the fact that ChlaDUB1-lacking Chlamydia could not be obtained an inhibitor screen was performed and identified CYN312 as a potential ChlaDUB1 inhibitor. Application of CYN312 during infection interfered with chlamydial growth and reduced Mcl-1 quantity in infected cells. Furthermore, CYN312 treated Ctr-infected cells were significantly sensitized for apoptosis.
Taken together, C. trachomatis secretes the deubiquitinase ChlaDUB1 to the surface of the inclusion where it deubiquitinates Mcl-1 causing its accumulation in infected cells resulting in apoptosis resistance. Application of the ChlaDUB1 inhibitor CYN312 interferes with Mcl-1 stabilization sensitizing infected cells for apoptosis.
The topic of the present study focuses on landslide susceptibility assessment in the Northern Vienna Forest by GIS-based, statistic-probabilistic and deterministic modelling. The study is based on two complementary approaches for integrated landslide susceptibility assessment, which is not limited to one single methodology and its inherent assumptions.
A statistic-probabilistic method is applied to the whole region of the Northern Vienna Forest. This regional model investigates the basic disposition for landslides under consideration of controlling factors, which are persistent and more or less constant over time. A deterministic method is applied on a larger scale in a sub-study site of the Hagenbach Valley. These detailed models aim to investigate the variable disposition as a function of substrate wetness, which is in turn dependent on meteorological conditions. A main aspect of the work is the development of various wetness scenarios, which consider short-term weather phenomena, like heavy or long-lasting rainfall, but which also investigate the influence of meteorological and climate conditions on slope stability, which may vary in mid-term and long-term.
Furthermore, the assessment of the effects of climate change on the disposition for landslides is a major aspect of the study. Hence, average changes in air temperature and precipitation as predicted by Regional Climate Models are incorporated into modelling. In this context, it is tested whether changes in substrate wetness and thus in slope stability can be identified and quantified as a consequence of changed climate conditions.
As further objective shallow slope movements are incorporated into disposition modelling. According to geomorphological and sedimentological studies, these quaternary sediments are essential for slope formation in the Vienna Forest. In general, it is assumed that landslides primarily occur in weathered flysch sandstones rich in marl. Field-based surveys, however, identified shallow landslide activity in the quaternary sediments covering the flysch bedrock in wide areas. Therefore, the influence of these sediments on slope dynamics is studied in the present work within GIS-based slope stability models.
The results of the statistic-probabilistic landslide susceptibility assessment provide information on the basic disposition of the Northern Vienna Forest for landslides. The resulting regional susceptibility map reveals that the Northern Zone, a tectonic unit in the north of the study area, has extensive areas with the highest degree of landslide susceptibility. In this overthrust area in transition to the Molasse Zone there are geological units which are highly susceptible to landslides. The “Wolfpassing Formation” and the “Calcareous Klippen” of the Northern Zone show significant landslide densities. These geological zones start in the north near St. Andrä-Wördern and continue in south-western direction along the ridges of Tulbinger Kogel, Klosterberg, Frauenberg, and Eichberg.
Statistical weighting carried out in the course of regional landslide susceptibility assessment provides information on the spatial relation between landslide processes and specific controlling factors. The modelling highlights the relevance of zones rich in clay within the flysch formations as controlling geofactor. The highest landslide susceptibility is calculated for the geological units, which contain layers of Gaultflysch rich in clay and shale. Furthermore, a close correlation between the distribution of landslides on the one hand and the spatial distribution of the fault system and nappe boundaries on the other hand is ascertained. Hence, the tectonic conditions can be seen as crucial controlling geofactor for landslide activity in the study area. In the proximity of drainage lines an increased landslide frequency is revealed. In combination with heavy rainfall, torrential discharge can occur in creeks and may cause instabilities in adjacent hillslopes. In addition, the model documents an enhancement of landslide susceptibility on north-west facing slopes. In comparison to meteorological data it is obvious that the north-west exposition corresponds to the prevailing wind direction of the study area. Therefore, north-west facing slopes might be exposed to enhanced advective rainfall amounts, which can increase substrate wetness and thus landslide susceptibility. The latter geofactors indicate the significance of meteorological and hydrological conditions for the occurrence of landslides in the study area.
As described above, the regional assessment is based on controlling factors that are persistent over a long period of time and can therefore be considered as constant. On the contrary, the large-scale, physically based deterministic modelling investigates the disposition for landslides under variable humidity conditions in the substrate. In conclusion it can be stated that the disposition for slope instability is strongly varying in dependence of the humidity conditions in the substrate. A heavy rainfall event causes a drastic reduction of stable areas by 23% compared to monthly average wetness conditions in summer (July). In summary the wetness scenarios demonstrate, that apart from short-term weather conditions, like long-lasting or heavy rainfall, the long-term-development of substrate moisture has impact on slope stability. The more persistent, seasonally fluctuating wetness conditions show measureable influence on slope stability: As a consequence of increased topographic wetness in the winter month February there is an increase of instable areas by 5% in comparison with the summer month July. The modelling further revealed that quaternary sediments are more moisture sensitive and the influence of changing wetness conditions is stronger in these layers than in the bedrock.
The results of modelling, which are based on climate change, indicate that a moderate change of slope stability on a monthly average is possible in comparison to the conditions of the climate normal period. An assumed average monthly temperature increase of 2°C in combination with a precipitation increase of 30% in the winter months lead to an augmentation of recharge of 7% in the model in comparison with the long-term average conditions. Due to this increased recharge, there is a slight increase of topographic wetness in the model. This wetness augmentation results in an extension of instable slope areas by 3% and a reduction of the stable slope areas proportional to this extension. This slightly increased instability reduces critical triggering thresholds for single rainfall events meaning that even lower precipitation amounts or intensities can cause instabilities.
In contrast to the winter months, the incorporation of forecasted climate change into the modelling reveals a reduction of instable slope areas in favour of stable areas in the summer scenario. The forecasted average air temperature increase of 2.5°C in combination with a reduction of the average monthly precipitation amount of 15% drastically decreases substrate moisture. Consequently, instable slope areas are reduced by 11% of the study area. This effect on slope stability in the model mainly results from the reduced monthly rainfall amounts, but also from increased evapotranspiration as a consequence of the increased air temperature causing reduced recharge amounts. However, in spite of the monthly decrease of precipitation amounts, precipitation intensities are probable to rise according to climate studies. In this context the results of the modelling indicate, that a drastic, short-term increase of landslide disposition due to heavy rainfall events has to be expected more frequently in summer.
The results of the complementary methods are then assembled. Based on this synthesis the following conclusion can be drawn: The regional landslide susceptibility assessment yields that hillslopes with an inclination of 26° to 31° are highly landslide prone. The physically based models indicate that in this slope gradient range the presence of quaternary sediments is of major importance for landslides. Therefore, it can be concluded that a considerable portion of known landslides mapped in flysch actually occurred in quaternary sediments.
WISP3 is a member of the CCN family which comprises six members found in the 1990’s: Cysteine-rich,angiogenic inducer 61 (CYR61, CCN1), Connective tissue growth factor (CTGF, CCN2), Nephroblastoma overexpressed (NOV, CNN3) and the Wnt1 inducible signalling pathway protein 1-3 (WISP1-3, CCN4-6).They are involved in the adhesion, migration, mitogenesis, chemotaxis, proliferation, cell survival, angiogenesis, tumorigenesis, and wound healing by the interaction with different integrins and heparan sulfate proteoglycans. Until now the only member correlated to the musculoskeletal autosomal disease Progressive Pseudorheumatoid Dysplasia (PPD) is WISP3. PPD is characterised by normal embryonic development followed by cartilage degradation over time starting around the age of three to eight years. Animal studies in mice exhibited no differences between knock out or overexpression compared to wild type litter mates, thus were not able to reproduce the symptoms observed in PPD patients. Studies in vitro and in vivo revealed a role for WISP3 in antagonising BMP, IGF and Wnt signalling pathways. Since most of the knowledge of WISP3 was gained in epithelial cells, cancer cells or chondrocyte cell lines, we investigated the roll of WISP3 in primary human mesenchymal stem cells (hMSCs) as well as primary chondrocytes.
WISP3 knock down was efficiently established with three short hairpin RNAs in both cell types, displaying a change of morphology followed by a reduction in cell number. Simultaneous treatment with recombinant WISP3 was not enough to rescue the observed phenotype nor increase the endogenous expression of WISP3. We concluded that WISP3 acts as an essential survival factor, where the loss resulted in the passing of cell cycle control points followed by apoptosis. Nevertheless, Annexin V-Cy3 staining and detection of active caspases by Western blot and immunofluorescence staining detected no clear evidence for apoptosis. Furthermore, the gene expression of the death receptors TRAILR1 and TRAILR2,important for the extrinsic activation of apoptosis, remained unchanged during WISP3 mRNA reduction. Autophagy as cause of cell death was also excluded, given that the autophagy marker LC3 A/B demonstrated to be uncleaved in WISP3-deficient hMSCs. To reveal correlated signalling pathways to WISP3 a whole genome expression analyses of WISP3-deficient hMSCs compared to a control (scramble) was performed. Microarray analyses exhibited differentially regulated genes involved in cell cycle control, adhesion, cytoskeleton and cell death. Cell death observed by WISP3 knock down in hMSCs and chondrocytes might be explained by the induction of necroptosis through the BMP/TAK1/RIPK1 signalling axis. Loss of WISP3 allows BMP to bind its receptor activating the Smad 2/3/4 complex which in turn can activate TAK1 as previously demonstrated in epithelial cells. TAK1 is able to block
caspase-dependent apoptosis thereby triggering the assembly of the necrosome resulting in cell death by necroptosis.
Together with its role in cell cycle control and extracellular matrix adhesion, as demonstrated in human mammary epithelial cells, the data supports the role of WISP3 as tumor suppressor and survival factor in cells of the musculoskeletal system as well as epithelial cells.
While TGF-β is able to regulate miRNA expression in numerous cell types, TGF-β-dependent changes in the miRNA profile of CD8+ T cells had not been studied before. Considering that TGF-β suppresses CD8+ T cell effector functions in numerous ways, we wondered whether induction of immune-regulatory miRNAs could add to the known transcriptional effects of TGF-β on immune effector molecules. In this study, we used miRNA arrays, deep sequencing and qRT-PCR to identify miRNAs that are modulated by TGF-β in human CD8+ T cells. Having found that the TGF-β-dependent downregulation of NKG2D surface expression in NK cells and CD8+ T cells does not go along with a corresponding reduction in mRNA levels, this pathway appeared to be a possible target of TGF-β-inducible miRNAs. However, this hypothesis could not be confirmed by miRNA reporter assays. Instead, we observed that DAP10 transcription is suppressed by TGF-β which in turn negatively affects NKG2D surface expression. In spite of promising preliminary experiments, technical difficulties associated with the transfection of primary NK cells and NK cell lines unfortunately precluded the final proof of this hypothesis.
Instead, we focused on the TGF-β-induced changes in the miRNome of CD8+ T cells and confirmed the induction of the miR-23a cluster members, namely miR-23a, miR-27a and miR-24 by three different techniques. Searching for potential targets of these miRNAs which could contribute to the immunosuppressive action of TGF-β in T cells, we identified and confirmed a previously unknown regulation of IFN-γ mRNA by miR-27a and miR-24. Newly generated miRNA reporter constructs further revealed that LAMP1 mRNA is a target of miR-23a. Upon modulation of the miR-23a cluster in CD8+ T cells by the respective miRNA antagomirs and mimics, significant changes in IFN-γ expression confirmed the functional relevance of our findings. Effects on CD107a/LAMP1 expression were, in contrast, rather minimal. Still, overexpression of the miR-23a cluster attenuated the cytotoxic activity of antigen-specific CD8+ T cells. Taken together, these functional data reveal that the miR-23a cluster not only is induced by TGF-β, but also exerts a suppressive effect on CD8+ T-cell effector functions, even in the absence of TGF-β signaling.
This thesis explores the influence of social and environmental cues on the nest building behavior of leaf-cutting ants. Especially, the investigations are aimed at evaluating the mechanisms of nest building and how the nest environment can spatially guide building responses that lead to an adaptive nest architecture. The emergence of nest chambers in the nest of the leaf-cutting ant Acromyrmex lundi were evaluated. Rather than excavating nest chambers in advance, at places where workers encounter suitable environmental conditions for brood and fungus rearing, these items have to be present at a site. When presented in the laboratory with a choice between two otherwise identical digging sites, offering suitable environmental conditions, but one containing brood, the workers displayed a higher excavation activity at the site where they encountered the putative content of a chamber. The shape of the excavated cavity was also more round and chamber-like. It is concluded that leaf-cutting ants respond to social cues during nest building. Excavation is a costly process and colonies have to spend a part of their energy stores on nest building, so that regulatory responses for the control of nest excavation are expected to occur. Worker density at the beginning of the digging process influenced digging activity while the presence of in-nest stores did not. Stored brood and fungus did however influence the architecture of the excavated nest, leading to the excavation of larger chambers and smaller tunnels. While self-organized mechanisms appear to be involved in the nest building process, the social cues of the ants’ environment during building clearly influence the nest architecture and lead to an adjustment of the nest size to the current space needs of the colony. Workers secondarily regulated nest size by the opportunistic refilling of unused space with excavated soil pellets. As the ants should provide suitable conditions for brood and fungus rearing, they should show a behavioral response to CO2 concentrations, as the gas is known to hinder fungus respiration. Workers of A. lundi did indeed avoid high CO2-levels for fungus rearing but actually preferred CO2-values in the range encountered close to the soil surface, where this species excavates their nests. However, different CO2-levels did not affect their excavation behavior. While fungus chambers make up part of a leaf-cutting ant nest, most leaf-cutting ants of the genus Atta also spent part of the colony’s energy on excavating large, voluminous chambers for waste disposal, rather than scattering the material aboveground. It is expected that leaf-cutting ants also show environmental preferences for waste management. In experiments Atta laevigata workers preferred deposition in a warm and dry environment and showed no preference for specific CO2-levels. The continued accumulation of waste particles in a waste chamber seems to be based on the use of volatiles. These originate from the waste itself, and seem to be used as an orientation cue by workers relocating the material. The ensuing large accumulation of waste at one site should result in the emergence of more voluminous chambers for waste disposal.
Localization microscopy is a class of super-resolution fluorescence microscopy techniques. Localization microscopy methods are characterized by stochastic temporal isolation of fluorophore emission, i.e., making the fluorophores blink so rapidly that no two are
likely to be photoactive at the same time close to each other. Well-known localization microscopy methods include dSTORM}, STORM, PALM, FPALM, or GSDIM. The biological community has taken great interest in localization microscopy, since it can enhance the resolution of common fluorescence microscopy by an order of magnitude at little experimental cost.
However, localization microscopy has considerable computational cost since millions of individual stochastic emissions must be located with nanometer precision. The computational cost of this evaluation, and the organizational cost of implementing the complex algorithms, has impeded adoption of super-resolution microscopy for a long time.
In this work, I describe my algorithmic framework for evaluating localization microscopy data.
I demonstrate how my novel open-source software achieves real-time data evaluation, i.e., can evaluate data faster than the common experimental setups can capture them.
I show how this speed is attained on standard consumer-grade CPUs, removing the need for computing on expensive clusters or deploying graphics processing units.
The evaluation is performed with the widely accepted Gaussian PSF model and a Poissonian maximum-likelihood noise model.
I extend the computational model to show how robust, optimal two-color evaluation is realized, allowing correlative microscopy between multiple proteins or structures. By employing cubic B-splines, I show how the evaluation of three-dimensional samples can be made simple and robust, taking an important step towards precise imaging of micrometer-thick samples.
I uncover the behavior and limits of localization algorithms in the face of increasing emission densities.
Finally, I show up algorithms to extend localization microscopy to common biological problems.
I investigate cellular movement and motility by considering the in vitro movement of myosin-actin filaments. I show how SNAP-tag fusion proteins enable imaging with bright and stable organic fluorophores in live cells. By analyzing the internal structure of protein clusters, I show how localization microscopy can provide new quantitative approaches beyond pure imaging.
The female sex hormone 17beta-estradiol, produced naturally in the body, seems to play an important role in the development of breast cancer, since (i) it can be activated to reactive metabolites, which are known to damage DNA and (ii) the stimulation of the estrogen receptor alpha by 17beta-estradiol enhances cell proliferation. Both processes together increase mutation frequency and subsequently lead to transformation of epithelial cells. Therefore, the aim of this work was to characterize the influence of polymorphisms and lifestyle factors on 17beta-estradiol metabolism in normal mammary gland tissue. [...]
In sum, the tissue specific 17beta-estradiol metabolism was described in mammary gland tissue homogenate, whereas differences in proliferation of epithelial cells were only reflected in isolated epithelial cells. Factors associated with breast cancer risk (age, BMI and age-related changes in mammary gland morphology) were shown to affect 17beta-estradiol tissue levels.
The 17beta-estradiol mediated genotoxicity was evaluated using bioinformatically calculated
DNA adduct fluxes, which were predominately influenced by individual mRNA patterns rather than individual genotypes and (DNA adduct fluxes) were correlated with known breast cancer risk factors (age, parity, BMI and polymorphism of glutathione-S-transferase theta 1).
The present dissertation analyzes whether bank debt lending influences certain managerial decisions of borrowers, and if so, how. More precisely, the thesis investigates the influence of bank debt lending on the cost of debt and capital structure of firms, and on the accounting behavior of borrowers prior to borrowing new bank debt. The major aim of the dissertation is to deliver empirical evidence that central managerial decisions of companies are not only made by managers and equity owners but also driven by important debt investors. The objects of discussion are German small and medium-sized enterprises (SMEs). These firms are particularly suitable for this analysis, as they commonly have high bank debt proportions.
The dissertation comprises three separate empirical analyses, which investigate selected aspects in the above mentioned context. Section 3.1 inspects the impact of the Basel II Capital Accord and the financial crisis on the cost of debt of German SMEs. Basel II formalized the credit assessment of debtors. This might have led to higher costs and a higher risk awareness of banks. Banks might have tried to refinance those additional costs by imposing tighter credit terms on debtors. Especially SMEs might face a higher cost of debt, as they tend to have comparably high proportions of bank debt, low equity ratios, and consecutively lower ratings than big companies. The results presented in Section 3.1 indicate a significant rise of the cost of debt since 2007. Unfortunately, the amendment of Basel II was followed by the financial crisis. It is difficult to separate the effect of the reform and the one of the crisis on the costs of debt capital of German SMEs. The presented analysis controls for several possible interdependencies be-tween credit costs, credit shortage and the insolvency risk of companies. However, none of the analyzed facts indicates a significant change in the extent of bank credit granting to SMEs during the financial crisis that would justify higher costs of debt capital. The results might point out that banks made use of the special situation of the financial crisis and raised credit standards for SME loans.
Section 3.2 examines whether bank debt financing drives certain accounting choices of Ger-man SMEs. At least since Basel II, banks have to base their credit assessments on objective, quantitative ratings, which commonly rely on financial statement data. As loan interest rates account for a significant proportion of the cost of capital of SMEs, their incentive to optimize loan conditions is obvious. Under the assumption that SMEs are aware of the importance of financial statements data in credit assessments, they might have an incentive to direct their financial statements at banks. More precisely, SMEs might strive to exploit their asymmetric information advantage over banks by manipulating earnings with the intention to achieve decent credit terms. The results presented in Section 3.2 show that SMEs have significantly higher total accruals in the period prior to borrowing new bank debt than in other periods. Moreover, a higher bank debt proportion is accompanied by higher total accruals. Hence, particularly bank-dependent firms seem to alter their accounting behavior prior to the important corporate financing event of bor-rowing new bank debt. Finally, the study investigates whether earnings manipulation is detected by banks or whether it is effective and influences the cost of debt of German SMEs. Empirical results in Section 3.2 indicate that SMEs, which report positive discretionary accruals are re-warded in terms of a lower cost of debt. This might imply that banks do not see through earnings manipulation.
Section 3.3 contains results of a comprehensive survey of German SMEs, which intends to further analyze the research questions posed in Section 3.1 and 3.2. First, the survey aims to verify or falsify the results concerning the impact of Basel II on the cost of debt and the re-quirements to obtain a loan for SMEs since 2007. A large proportion of survey respondents complained about a higher effort needed to obtain a new bank loan since 2007. Moreover, for the majority of survey participants both the collateral demanded by banks and the strictness of covenants increased since Basel II. In addition, almost half of surveyed SMEs experience higher costs of bank debt since the amendment of the reform. The second part of the survey aims to investigate whether SMEs apply measures of earnings manipulation in the period prior to bor-rowing new bank debt. The majority of SMEs admit that they would use both certain means of real activities and accrual manipulation in order to achieve decent credit terms in the subsequent debt contract negotiation.
Taking these empirical results into consideration, the dissertation shows that certain manage-rial decisions of German SMEs are influenced by debt holders. Results in Sections 3.1 and 3.3 indicate that SME bank lending was affected by Basel II and the financial crisis. The cost of debt of German SMEs is significantly higher since Basel II, even after controlling for potential influences of the financial crisis. These higher costs of debt might have additional side effects on further corporate financing and/or investment decisions. Furthermore, results in Sections 3.2 and 3.3 indicate that bank debt lending influences accounting choices of German SMEs, particu-larly in the period before borrowing new bank debt. SME use both means of real activities and accrual management in order to achieve decent credit terms. This change of accounting behavior might be accompanied by effort, additional effects on other corporate contracts, and notable economic costs.
Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique, that is rou- tinely used in clinical practice for detection and diagnosis of a wide range of different diseases. In MRI, no ionizing radiation is used, making even repeated application unproblematic. This is an important advantage over other common imaging methods such as X-rays and Computer To- mography. One major drawback of MRI, however, are long acquisition times and associated high costs of experiments. Since the introduction of MRI, several important technical developments have been made to successfully reduce acquisition times. In this work, novel approaches were developed to increase the efficiency of MRI acquisitions.
In Chapter 4, an improved radial turbo spin-echo (TSE) combined acquisition and reconstruction strategy was introduced. Cartesian turbo spin-echo sequences [3] are widely used especially for the detection and diagnosis of neurological pathologies, as they provide high SNR images with both clinically important proton density and T2 contrasts. TSE acquisitions combined with radial sampling are very efficient, since it is possible to obtain a number of ETL images with different contrasts from a single radial TSE measurement [56–58]. Conventionally, images with a particular contrast are obtained from both radial and Cartesian TSE acquisitions by combining data from different echo times into a single image. In the radial case, this can be achieved by employing k-space weighted image contrast (KWIC) reconstruction. In KWIC, the center region of k-space is filled exclusively with data belonging to the desired contrast while outer regions also are assembled with data acquired at other echo times. However, this data sharing leads to mixed contrast contributions to both Cartesian and radial TSE images. This is true especially for proton density weighted images and therefore may reduce their diagnostic value.
In the proposed method, an adapted golden angle reordering scheme is introduced for radial TSE acquisitions, that allows a free choice of the echo train length and provides high flexibility in image reconstruction. Unwanted contrast contaminations are greatly reduced by employing a narrow-band KWIC filter, that restricts data sharing to a small temporal window around the de- sired echo time. This corresponds to using fewer data than required for fully sampled images and consequently leads to images exhibiting aliasing artifacts. In a second step, aliasing-free images are obtained using parallel imaging. In the neurological examples presented, the CG-SENSE algorithm [42] was chosen due to its stable convergence properties and its ability to reconstruct arbitrarily sampled data. In simulations as well as in different in vivo neurological applications, no unwanted contrast contributions could be observed in radial TSE images reconstructed with the proposed method. Since this novel approach is easy to implement on today’s scanners and requires low computational power, it might be valuable for the clinical breakthrough of radial TSE acquisitions.
In Chapter 5, an auto-calibrating method was introduced to correct for stimulated echo contribu- tions to T2 estimates from a mono-exponential fit of multi spin-echo (MSE) data. Quantification of T2 is a useful tool in clinical routine for the detection and diagnosis of diseases as well as for tis- sue characterization. Due to technical imperfections, refocusing flip angles in a MSE acquisition deviate from the ideal value of 180○. This gives rise to significant stimulated echo contributions to the overall signal evolution. Therefore, T2 estimates obtained from MSE acquisitions typically are notably higher than the reference. To obtain accurate T2 estimates from MSE acquisitions, MSE signal amplitudes can be predicted using the extended phase graph (EPG, [23, 24]) algo- rithm. Subsequently, a correction factor can be obtained from the simulated EPG T2 value and applied to the MSE T2 estimates. However, EPG calculations require knowledge about refocus- ing pulse amplitudes, T2 and T1 values and the temporal spacing of subsequent echoes. While the echo spacing is known and, as shown in simulations, an approximate T1 value can be assumed for high ratios of T1/T2 without compromising accuracy of the results, the remaining two parameters are estimated from the data themselves. An estimate for the refocusing flip angle can be obtained from the signal intensity ratio of the second to the first echo using EPG. A conventional mono- exponential fit of the MSE data yields a first estimate for T2. The T2 correction is then obtained iteratively by updating the T2 value used for EPG calculations in each step. For all examples pre- sented, two iterations proved to be sufficient for convergence. In the proposed method, a mean flip angle is extracted across the slice. As shown in simulations, this assumption leads to greatly reduced deviations even for more inhomogeneous slice profiles. The accuracy of corrected T2 values was shown in experiments using a phantom consisting of bottles filled with liquids with a wide range of different T2 values. While T2 MSE estimates were shown to deviate significantly from the spin-echo reference values, this is not the case for corrected T2 values. Furthermore, applicability was demonstrated for in vivo neurological experiments.
In Chapter 6, a new auto-calibrating parallel imaging method called iterative GROG was pre- sented for the reconstruction of non-Cartesian data. A wide range of different non-Cartesian schemes have been proposed for data acquisition in MRI, that present various advantages over conventional Cartesian sampling such as faster acquisitions, improved dynamic imaging and in- trinsic motion correction. However, one drawback of non-Cartesian data is the more complicated reconstruction, which is ever more problematic for non-Cartesian parallel imaging techniques. Iterative GROG uses Calibrationless Parallel Imaging by Structured Low-Rank Matrix Completion (CPI) for data reconstruction. Since CPI requires points on a Cartesian grid, it cannot be used to directly reconstruct non-Cartesian data. Instead, Grappa Operator Gridding (GROG) is employed in a first step to move the non-Cartesian points to the nearest Cartesian grid locations. However, GROG requires a fully sampled center region of k-space for calibration. Combining both methods in an iterative scheme, accurate GROG weights can be obtained even from highly undersampled non-Cartesian data. Subsequently, CPI can be used to reconstruct either full k- space or a calibration area of arbitrary size, which can then be employed for data reconstruction with conventional parallel imaging methods.
In Chapter 7, a new 2D sampling scheme was introduced consisting of multiple oscillating effi- cient trajectories (MOET), that is optimized for Compressed Sensing (CS) reconstructions. For successful CS reconstruction of a particular data set, some requirements have to be met. First, ev- ery data sample has to carry information about the whole object, which is automatically fulfilled for the Fourier sampling employed in MRI. Additionally, the image to be reconstructed has to be sparse in an arbitrary domain, which is true for a number of different applications. Last, data sam- pling has to be performed in an incoherent fashion. For 2D imaging, this important requirement of CS is difficult to achieve with conventional Cartesian and non-Cartesian sampling schemes. Ra- dial sampling is often used for CS reconstructions of dynamic data despite the streaking present in undersampled images. To obtain incoherent aliasing artifacts in undersampled images while at the same time preserving the advantages of radial sampling for dynamic imaging, MOET com- bines radial spokes with oscillating gradients of varying amplitude and alternating orientation orthogonal to the readout direction. The advantage of MOET over radial sampling in CS re- constructions was demonstrated in simulations and in in vivo cardiac imaging. MOET provides superior results especially when used in CS reconstructions with a sparsity constraint directly in image space. Here, accurate results could be obtained even from few MOET projections, while the coherent streaking artifacts present in the case of radial sampling prevent image recovery even for smaller acceleration factors. For CS reconstructions of dynamic data with sparsity constraint in xf-space, the advantage of MOET is smaller since the temporal reordering is responsible for an important part of incoherency. However, as was shown in simulations of a moving phantom and in the reconstruction of ungated cardiac data, the additional spatial incoherency provided by MOET still leads to improved results with higher accuracy and may allow reconstructions with higher acceleration factors.
Information on the state of the terrestrial vegetation cover is important for several ecological, economical, and planning issues. In this regard, vegetation properties such as the type, vitality, or density can be described by means of continuous biophysical parameters. One of these parameters is the leaf area index (LAI), which is defined as half the total leaf area per unit ground surface area. As leaves constitute the interface between the biosphere and the atmosphere, the LAI is used to model exchange processes between plants and their environment. However, to account for the variability of ecosystems, spatially and temporally explicit information on LAI is needed both for monitoring and modeling applications.
Remote sensing aims at providing such information. LAI is commonly derived from remote sensing data by empirical-statistical or physical models. In the first approach, an empirical relationship between LAI measured in situ and the corresponding canopy spectral signature is established. Although this method achieves accurate LAI estimates, these relationships are only valid for the place and time at which the field data were sampled, which hampers automated LAI derivation. The physical approach uses a radiation transfer model to simulate canopy reflectance as a function of the scene’s geometry and of leaf and canopy parameters, from which LAI is derived through model inversion based on remote sensing data. However, this model inversion is not stable, as it is an under-determined and ill-posed problem.
Until now, LAI research focused either on the use of coarse resolution remote sensing data for global applications, or on LAI modeling over a confined area, mostly in forest and crop ecosystems, using medium to high spatial resolution data. This is why to date no study is available in which high spatial resolution data are used for LAI mapping in a heterogeneous, natural landscape such as alpine grasslands, although a growing amount of high spatial and temporal resolution remote sensing data would allow for an improved environmental monitoring. Therefore, issues related to model parameterization and inversion regularization techniques improving its stability have not yet been investigated for this ecosystem.
This research gap was taken up by this thesis, in which the potential of high spatial resolution remote sensing data for grassland LAI estimation based on statistical and radiation transfer modeling is analyzed, and the achieved accuracy and robustness of the two approaches is compared. The objectives were an ecosystem-adapted radiation transfer model set-up and an optimized LAI derivation in mountainous grassland areas. Multi-temporal LAI in situ measurements as well as time series of RapidEye data from 2011 and 2012 over the catchment of the River Ammer in the Bavarian alpine upland were used. In order to obtain accurate in situ data, a comparison of the LAI derivation algorithms implemented in the LAI-2000 PCA instrument with destructively measured LAI was performed first. For optimizing the empirical-statistical approach, it was then analyzed how the selection of vegetation indices and regression models impacts LAI modeling, and how well these models can be transferred to other dates. It was shown that LAI can be derived
with a mean accuracy of 80 % using contemporaneous field data, but that the accuracy decreases to on average 51 % when using these models on remote sensing data from other dates. The combined use of several data sets to create a regression which is used for LAI derivation at different points in time increased the LAI estimation accuracy to on average 65 %. Thus, reduced field measurement labor comes at the cost of LAI error rates being increased by 10 - 30 % as long as at least two campaigns are conducted. Further, it was shown that the use of RapidEye’s red edge channel improves the LAI derivation by on average 5.4 %.
With regard to physical LAI modeling, special interest lay in assessing the accuracy improvements that can be achieved through model set-up and inversion regularization techniques. First, a global sensitivity analysis was applied to the radiation transfer model in order to identify the most important model parameters and most sensitive spectral features. After model parameterization, several inversion regularizations, namely the use of a multiple sample solution, the additional use of vegetation indices, and the addition of noise, were analyzed. Further, an approach to include the local scene’s geometry in the retrieval process was introduced to account for the mountainous topography. LAI modeling accuracies of in average 70 % were achieved using the best combination of regularization techniques, which is in the upper range of accuracies that were achieved in the few existing other grassland studies based on in situ or air-borne measured hyperspectral data. Finally, further physically derived vegetation parameters and inversion uncertainty measures were evaluated in detail to identify challenging modeling conditions, which was mostly neglected in other studies. An increased modeling uncertainty for extremely high and low LAI values was observed. This indicates an insufficiently wide model parameterization and a canopy deviation from model assumptions on some fields. Further, the LAI modeling accuracies varied strongly between the different scenes. From this observation it can be deduced that the radiometric quality of the remote sensing data, which might be reduced by atmospheric effects or unexpected surface reflectances, exerts a high influence on the LAI modeling accuracy.
The major findings of the comparison between the empirical-statistical and physical LAI modeling approaches are the higher accuracies achieved by the empirical-statistical approach as long as contemporaneous field data are available, and the computationally efficiency of the statistical approach. However, when no or temporally unfitting in situ measurements are available, the physical approach achieves comparable or even higher accuracies. Furthermore, radiation transfer modeling enables the derivation of other leaf and canopy variables useful for ecological monitoring and modeling applications, as well as of pixel-wise uncertainty measures indicating the robustness and reliability of the model inversion and LAI derivation procedure. The established look-up tables can be used for further LAI derivation in Central European grassland also in other years.
The use of high spatial resolution remote sensing data for LAI derivation enables a reliable land cover classification and thus a reduced LAI mapping error due to misclassifications. Furthermore, the RapidEye pixels being smaller than individual fields allow for a radiation transfer model inversion over homogeneous canopies in most cases, as canopy gaps or field parcels can be clearly distinguished. However, in case of unexpected local surface conditions such as blooming, litter, or canopy gaps, high spatial resolution data show corresponding strong deviations in reflectance values and hence LAI estimation, which would be reduced using coarser resolution data through the balancing effect of the surrounding surface reflectances. An optimal pixel size with regard to modeling accuracy hence depends on the canopy and landscape structure. Furthermore, a reduced spatial resolution would enable a considerable acceleration of the LAI map derivation.
This illustration of the potential of RapidEye data and of the challenges associated to LAI derivation in heterogeneous grassland areas contributes to the development of robust LAI estimation procedures based on new and upcoming, spatially and temporally high resolution remote sensing imagery such as Landsat 8 and Sentinel-2.
Cord blood hematopoietic stem cells (CB-HSCs) are an outstanding source for the treatment of a variety of malignant and non-malignant disorders. However, the low amount of cells collected per donor is often insufficient for treatment of adult patients. In order to make sufficient numbers of CB-HSCs available for adults, expansion is required. Different approaches were described for HSC expansion, however these approaches are impeded by the loss of engrafting potential during ex vivo culture. Little is known about the underlying molecular mechanisms. Epigenetic mechanisms play essential roles in controlling stem cell potential and fate decisions and epigenetic strategies are considered for HSC expansion. Therefore, this study aimed to characterize global and local epigenotypes during the expansion of human CB-CD34+, a well established CB progenitor cell type, to better understand the molecular mechanisms leading to the culture-associated loss of engrafting potential. Human CB-CD34+ cells were cultured using 2 different cytokine cocktails: the STF cocktail containing SCF, TPO, FGF-1 and the STFIA cocktail, which combines STF with Angiopoietin-like 5 (Angptl5) and Insulin-like growth factor-binding protein 2 (IGFBP2). The latter expands CB-HSCs ex vivo. Subsequently, the NOD-scid gamma (NSG) mouse model was used to study the engraftment potential of expanded cells. Engraftment potential achieved by fresh CB-CD34+ cells was maintained when CB-CD34+ cells were expanded under STFIA but not under STF conditions. To explore global chromatin changes in freshly isolated and expanded CB-CD34+ cells, levels of the activating H3K4me3 and the repressive H3K27me3 histone marks were determined by chromatin flow cytometry and Western blot analyses. For analysis of genome-wide chromatin changes following ex vivo expansion, transcriptome profiling by microarray and chromatin immunoprecipitation combined with deep sequencing (ChIP-seq) were performed. Additionally, local chromatin transitions were monitored by ChIP analyses on promoter regions of developmental and self-renewal factors. On a global level, freshly isolated CD34+ and CD34- cells differed in H3K4me3 and H3K27me3 levels. After 7 days of expansion, CD34+ and CD34- cells adopted similar levels of active and repressive marks. Expanding the cells without IGFBP2 and Angptl5 led to a higher global H3K27me3 level. ChIP-seq analyses revealed a cytokine cocktail-dependent redistribution of H3K27me3 profiles. Chemical inhibition of the H3K27 methyltransferase EZH2 counteracted the culture-associated loss of NSG engraftment potential. Collectively, the data presented in this study revealed that by adding epigeneticly active compounds in the culture media we observed changes on a chromatin level which counteracted the loss of engraftment potential. H3K27me3 rather than H3K4me3 may be critical to establish a specific engraftment supporting transcriptional program. Furthermore, I identified a critical function for the Polycomb repressive complex 2-component EZH2 in the loss of engraftment potential during the in vitro expansion of HPSCs. Taken together this thesis provides a better molecular understanding of chromatin changes upon expansion of CB-HSPCs and opens up new perspectives for epigenetic ex vivo expansion strategies.
This thesis consists of two parts of original experimental work, its evaluation, and in- terpretation. Its final goal is to investigate dynamical charge transfer (CT) at a hetero- molecular interface with resonant photoelectron spectroscopy (RPES). In order to achieve this goal preliminary studies have been necessary. First two hetero-molecular inter- faces that exhibit adequate structural properties as well as an appropriate photoelec- tron spectroscopy (PES) spectrum of the valence regime have been identified. The de- sired CT analysis with RPES of these hetero-molecular systems is then conducted on the basis of the knowledge gained by previous RPES studies of homo-molecular sys- tems.
The characterization of hetero-molecular films on single crystal Ag surfaces in the first part of this thesis is performed with high resolution core level PES and valence PES. The reproduction of the core level PES data with reference spectra of homo-molecular films allows me to determine which molecule is in direct contact to the Ag surface and which one is situated in higher layers (not the first one). Due to the direct correspon- dence of core level and valence PES the assignment of features in the spectra of the latter technique can be achieved with the identification of the contributions extracted from the evaluation of the data of the former technique. It is found that the systems PTCDA on one monolayer (ML) of SnPc on Ag(111) and CuPc/1 ML PTCDA/Ag(111) are stable at 300 K which means that no significant layer exchange occurs for these systems. In contrast a vertical exchange of CuPc and PTCDA molecules is observed for PTCDA de- posited on top of 1 ML CuPc/Ag(111). Up to a coverage of approximately 0.5 ML of PTCDA molecules these diffuse into the first layer, replace CuPc molecules, and con- sequently force them into higher layers. Above a coverage of approximately 0.5 ML of PTCDA molecules these are also found in higher layers. The search for a promising system for the intended RPES study then leads to an investigation of hetero-molecular films with a combination of F4TCNQ and PTCDA molecules on Ag(110) within the same approach. Depositing F4TCNQ molecules onto a 1 ML PTCDA/Ag(110) film in the herringbone phase at 300 K results in an instable hetero-organic system which un- dergoes a layer exchange. Hereby PTCDA molecules in the first layer are replaced by F4TCNQ molecules similar to the behavior of the system PTCDA/1 ML CuPc/Ag(111). Switching the order of the preparation steps leads to a stable film of PTCDA/1.0 ML F4TCNQ/Ag(110) at 300 K. Among the stable hetero-molecular films only the system CuPc/1 ML PTCDA/Ag(111) exhibits the required wetting growth of the first two layers at 300 K and a valence PES spectrum with energetically separable molecular orbital signals in the same intensity range. Thus this system is identified to be appropriate for a detailed analysis with RPES.
The unexpected findings of vertical exchanges in the hetero-molecular films at 300 K motivate a study of the behavior at elevated temperatures for all systems investigated before. Therein it is revealed that annealing 1.5 ML SnPc/1 ML PTCDA/Ag(111) and
1.0 ML PTCDA/1 ML SnPc/Ag(111) to a temperature above the desorption temperature of molecules not in direct contact to the Ag(111) surface results in a 1 ML SnPc/Ag(111) film in both cases. Hence at elevated temperatures (approximately above 420 K) SnPc molecules replace PTCDA molecules in the first layer on Ag(111). At higher temper- atures (approximately above 470 K) PTCDA molecules and SnPc molecules situated above the first layer then desorb from the 1 ML SnPc/Ag(111) sample. Annealing all hetero-molecular films with CuPc and PTCDA molecules on Ag(111) to 570 K leads to a sample with CuPc and PTCDA molecules in the first and only layer. Depending on the initial CuPc coverage different ratios of both molecules are obtained. With a CuPc coverage of exactly 1 ML, or above, films with PTCDA coverages of approxi- mately 0.1–0.2 ML are produced. So at elevated temperatures CuPc molecules replace PTCDA molecules in the first layer of the system CuPc/1 ML PTCDA/Ag(111). Anal- ogously the layer exchange at 300 K for the system PTCDA/1 ML CuPc/Ag(111) is reversed at elevated temperatures. In the case of SnPc and CuPc coverages below 1 ML annealing vertical hetero-molecular systems with PTCDA on Ag(111) up to 570 K re- sults in a single layer of mixed hetero-molecular films with lateral long range order. In this way the system CuPc + PTCDA/Ag(111) is prepared and then characterized as a proper system for a detailed analysis with RPES. Additional annealing experiments of hetero-organic films consisting of F4TCNQ and PTCDA molecules on Ag(110) with an F4TCNQ coverage of 1.0 ML (and above) end in a submonolayer (sub-ML) film of F4TCNQ/Ag(110) that exhibits a contribution of amorphous carbon. Consequently, it can be concluded that at elevated temperatures part of the F4TCNQ molecules decom- pose.
In the second part of this thesis homo-molecular multilayer samples and (sub-)ML films on single crystalline metal surfaces are investigated with RPES in order to enable the final RPES study of vertical and lateral hetero-molecular interface systems. First a pho- ton energy (hν) dependent intensity variation of (groups of) molecular orbital signals of exemplary multilayer films (NTCDA and coronene) is studied and explained on the basis of the local character of the electronic transitions in near edge x-ray absorption fine structure (NEXAFS) spectroscopy in combination with the real space probability den- sity of the contributing molecular orbitals. This simple approach is found to be able to correctly describe relative intensity variations by orders of magnitude while it fails for hν dependent relative intensity changes in the same order of magnitude. After that the hν dependent line-shape evolution of an energetically separated molecular orbital signal of a CuPc multilayer is discussed in relation to small molecules in the gas phase and explained with an effect of electron vibration coupling. Through a comparison of the hν dependent line-shape evolution of the highest occupied molecular orbital (HOMO) of a CuPc with a SnPc multilayer the molecule specific character of this effect is identified. Then the same effect with either two (or more) electronic transitions or multiple coupling vibrational modes is observed for a coronene multilayer. Thereafter the influence of the adsorption on metal surfaces on this effect is studied and discussed with special emphasis on a possible contribution by features which are related to dynamical interface CT. For a sub-ML of SnPc/Au(111) no variation with respect to a SnPc multilayer film is detected while for a sub-ML of CuPc/Au(111) less intensity is distributed into the high binding energy (EB) part of the HOMO signal with respect to the corresponding multilayer film. In the RPES data of a sub-ML of coronene/Ag(111) a resonance specific variation of the hν dependent line-shape evolution of the HOMO signal is found by the revelation of a change of this effect with respect to the coronene multilayer data in only one of the two NEXAFS resonances. All these findings are consistently explained within one effect and a common set of parameters, namely all quantities that characterize the potential energy surfaces involved in the RPES process. Through that an alternative explanation that re- lies on dynamical CT can be excluded which influences the following CT analysis with RPES.
Three criteria for such an analysis of dynamical interface CT with RPES are identified. In the system coronene on Ag(111) a low EB feature is related to metal-molecule inter- face CT through the assignment of a particular final state and hence named CT state. In the EB region of the frontier molecular orbital signals of the molecule-metal inter- face systems with a signal from the lowest unoccupied molecular orbital (LUMO) in direct valence PES a broad line-shape is measured in RPES. This finding is related to interface CT by a possible explanation that emerges through the comparison to the line- shape of the CT state. The constant kinetic energy (EK ) features detected for several molecule-metal interfaces constitute the third criterion for a CT analysis with RPES. For the molecule-metal interface systems without a LUMO signal in direct valence PES the energy of these features can be calculated with the assignment of the responsible decay channel in combination with explicitly given simplifying assumptions. Through that the involvement of metal-molecule interface CT in the generation of these constant EK fea- tures is demonstrated. The RPES data of the lateral and the vertical hetero-molecular interface, identified in the first part, is then scanned for these three CT criteria. Thereby neither for the lateral hetero-molecular system CuPc + PTCDA/Ag(111) nor for the verti- cal hetero-molecular system CuPc/1 ML PTCDA/Ag(111) dynamical hetero-molecular interface CT can be confirmed. In the former system the molecule-metal interface in- teraction is found to dominate the physics of the system in RPES while in the latter system no hints for a significant hybridization at the CuPc-PTCDA interface can be revealed
Sustainability has become a critical topic in all areas of supply chain management. As discussed earlier, drivers for this development can be identified as both internal and external phenomena. Since customers are one of the key stakeholders in supply chain management, special attention is paid to the impact of costumers´ behavior on sustainable supply chain design decisions. In this context, two main research questions were analyzed:
1.What is the appropriate way to design a supply chain according to environmentally-oriented requirements of customers?
2.What is the impact of customer´s behavior regarding both usage and return of products on supply chain design decisions in an environmentally conscious closed-loop supply chain environment?
Therefore, three different optimization models with various main aspects are developed. To illustrate how the presented models can be applied in practical problem cases, guidelines for implementing an environmentally supply chain design project are presented.
Today knowledge base authoring for the engineering of intelligent systems is performed mainly by using tools with graphical user interfaces. An alternative human-computer interaction para- digm is the maintenance and manipulation of electronic documents, which provides several ad- vantages with respect to the social aspects of knowledge acquisition. Until today it hardly has found any attention as a method for knowledge engineering.
This thesis provides a comprehensive discussion of document-centered knowledge acquisition with knowledge markup languages. There, electronic documents are edited by the knowledge authors and the executable knowledge base entities are captured by markup language expressions within the documents. The analysis of this approach reveals significant advantages as well as new challenges when compared to the use of traditional GUI-based tools.
Some advantages of the approach are the low barriers for domain expert participation, the simple integration of informal descriptions, and the possibility of incremental knowledge for- malization. It therefore provides good conditions for building up a knowledge acquisition pro- cess based on the mixed-initiative strategy, being a flexible combination of direct and indirect knowledge acquisition. Further it turns out that document-centered knowledge acquisition with knowledge markup languages provides high potential for creating customized knowledge au- thoring environments, tailored to the needs of the current knowledge engineering project and its participants. The thesis derives a process model to optimally exploit this customization po- tential, evolving a project specific authoring environment by an agile process on the meta level. This meta-engineering process continuously refines the three aspects of the document space: The employed markup languages, the scope of the informal knowledge, and the structuring and organization of the documents. The evolution of the first aspect, the markup languages, plays a key role, implying the design of project specific markup languages that are easily understood by the knowledge authors and that are suitable to capture the required formal knowledge precisely. The goal of the meta-engineering process is to create a knowledge authoring environment, where structure and presentation of the domain knowledge comply well to the users’ mental model of the domain. In that way, the approach can help to ease major issues of knowledge-based system development, such as high initial development costs and long-term maintenance problems.
In practice, the application of the meta-engineering approach for document-centered knowl- edge acquisition poses several technical challenges that need to be coped with by appropriate tool support. In this thesis KnowWE, an extensible document-centered knowledge acquisition environment is presented. The system is designed to support the technical tasks implied by the meta-engineering approach, as for instance design and implementation of new markup lan- guages, content refactoring, and authoring support. It is used to evaluate the approach in several real-world case-studies from different domains, such as medicine or engineering for instance.
We end the thesis by a summary and point out further interesting research questions consid- ering the document-centered knowledge acquisition approach.
Cardiac healing after myocardial infarction (MI) represents the cardinal prerequisite for proper replacement of the irreversibly injured myocardium. In contrast to innate immunity, the functional role of adaptive immunity in postinfarction healing has not been systematically addressed. The present study focused on the influence of CD4+ T lymphocytes on wound healing and cardiac remodeling after experimental myocardial infarction in mice. Both conventional and Foxp3+ regulatory CD4+ T cells (Treg cells) became activated in heart draining lymph nodes after MI and accumulated in the infarcted myocardium. T cell activation was strictly antigen-dependant as T cell receptor-transgenic OT-II mice in which CD4+ T cells exhibit a highly limited T cell
receptor repertoire did not expand in heart-draining lymph nodes post-MI. Both OT-II and major histocompatibility complex class II-deficient mice lacking a CD4+ T cell compartment showed a fatal clinical postinfarction outcome characterized by disturbed scar tissue construction that resulted in impaired survival due to a prevalence of left-ventricular ruptures. To assess the contribution of anti-inflammatory Treg cells on wound healing after MI, the Treg cell compartment was depleted using DEREG mice that specifically express the human diphtheria toxin receptor in Foxp3-positive cells, resulting in Treg cell ablation after diphtheria toxin administration. In a parallel line of experiments, a second model of anti-CD25 antibody-mediated Treg cell immuno-depletion was used. Treg cell ablation prior to MI resulted in adverse postinfarction left-ventricular dilatation associated with cardiac deterioration. Mechanistically, Treg cell depletion resulted in an increased recruitment of pro-inflammatory neutrophils and Ly-6Chigh monocytes into the healing myocardium. Furthermore, Treg cell-ablated mice exhibited an adverse activation of conventional non-regulatory CD4+ and CD8+ T cells that
showed a reinforced infiltration into the infarct zone. Increased synthesis of TNFα and IFNγ by conventional CD4+ and CD8+ T cells in hearts of Treg cell-depleted mice provoked an M1-like macrophage polarization characterized by heightened expression of healing-compromising induced NO synthase, in line with a reduced synthesis of healing-promoting transglutaminase factor XIII (FXIII), osteopontin (OPN) and transforming growth factor beta 1 (TGFβ1).
Therapeutic Treg cell activation by a superagonistic anti-CD28 monoclonal antibody stimulated Treg cell accumulation in the infarct zone and led to an increased expression of mediators inducing an M2-like macrophage polarization state, i.e. interleukin-10, interleukin-13 and TGFβ1. M2-like macrophage differentiation in the healing infarct was associated with heightened expression of scar-forming procollagens as well as scar-stabilizing FXIII and OPN, resulting in improved survival due to a reduced incidence of left-ventricular ruptures. Therapeutic Treg cell activation and the induction of a beneficial M2-like macrophage polarization was further achieved by employing a treatment modality of high clinical potential, i.e. by therapeutic administration of IL-2/ anti-IL-2 monoclonal antibody complexes. The findings of the present study suggest that therapeutic Treg cell activation and the resulting improvement of healing may represent a suitable strategy to attenuate adverse infarct expansion, left-ventricular remodeling, or infarct ruptures in patients with MI.
Stem cells are defined by their capacity to self-renew and their potential to differentiate into multiple cell lineages. Pluripotent embryonic stem (ES) cells can renew indefinitely while keeping the potential to differentiate into any of the three germ layers (ectoderm, endoderm or mesoderm). For decades, ES cells are in the focus of research because of these unique features. When ES cells differentiate they form spheroid aggregates termed “embryoid bodies” (EBs). These EBs mimic post- implantation embryonic development and therefore facilitate the understanding of developmented mechanisms.
During ES cell differentiation, de-repression or repression of genes accompanies the changes in chromatin structure. In ES cells, several mechanisms are involved in the regulation of the chromatin architecture, including post-translational modifications of histones. Post-translational histone methylation marks became one of the best- investigated epigenetic modifications, and they are essential for maintaining pluripotency. Until the first histone demethylase KDM1A was discovered in 2004 histone modifications were considered to be irreversible. Since then, a great number of histone demethylases have been identified. Their activity is linked to gene regulation as well as to stem cell self-renewal and differentiation.
KDM6A and KDM6B are H3K27me3/2-specific histone demethylases, which are known to play a central role in the regulation of posterior development by regulating HOX gene expression. So far less is known about the molecular function of KDM6A or KDM6B in undifferentiated and differentiating ES cells. In order to completely abrogate KDM6A and KDM6B demethylase activity in undifferentiated and differentiating ES cells, a specific inhibitor (GSK-J4) was employed. Treatment with GSK-J4 had no effect on the viability or proliferation on ES cells. However, in the presence of GSK-J4 ES cell differentiation was completely abrogated with cells arrested in G1-phase and an increased rate of apoptosis. Global transcriptome analyses in early-differentiating ES cells revealed that only a limited set of genes were differentially regulated in response to GSK-J4 treatment with more genes up- regulated than down-regulated. Many of the up-regulated genes are linked to DNA damage response (DDR). In agreement with this, DNA damage was found in EBs incubated with GSK-J4. A co-localization of H3K27me3 or KDM6B with γH2AX foci, marking DNA breaks, could be excluded. However, differentiating Eed knockout (KO) ES cells, which are devoid of the H3K27me3 mark, showed an attenuated GSK-J4- induced DDR. Finally, hematopoietic differentiation in the presence of GSK-J4 resulted in a reduced colony-forming potential. This leads to the conclusion that differentiation in the presence of GSK-J4 is also restricted to hematopoietic differentiation.
In conclusion, my results show that the enzymatic activity of KDM6A and KDM6B is not essential for maintaining the pluripotent state of ES cells. In contrast, the enzymatic activity of both proteins is indispensable for ES cell and hematopoietic differentiation. Additionally KDM6A and KDM6B enzymatic inhibition in differentiating ES cells leads to increased DNA damage with an activated DDR. Therefore, KDM6A and KDM6B are associated with DNA damage and in DDR in differentiating ES cells.
Human risk behavior is the subject of growing research in the field of psychology as well as economics. One central topic is the influence of psychological variables on risk behavior. Studies contained in this work investigated the impact of arousal, framing and motivation on risk behavior.
Arousal can on the one hand be a temporarily stable trait and on the other hand a situation-dependent variable. We showed that low trait arousal, measured via resting heart rate, predicted risky behavior. After physical exercise, state arousal was heightened in the experiment. Participants tended to act less risky after physical exercise. Taken together, the results suggest an inverse relation of arousal and risk behavior. Most studies investigating risk behavior employ a payment method that we call pay-one method: although the gambles that are used consist of many trials, only one trial is paid out. We investigated the effect of the payment method on risk behavior by employing both the pay-one and a pay-all method, which pays out all trials, in a within-subjects design. We found that participants acted about 10% less risky in the pay-one condition compared to the pay-all condition. This result suggests that risk-aversion is over-estimated in common risk paradigms that use the pay-one method.
When we worked on a hard task before, we like to engage in a more likable task afterwards. That observation led to the general classification of tasks in want-to and have-to tasks. Our body system strives towards a balance between those two task types in the sense of a homeostasis. We assessed event-related potentials (ERPs) in a risk game that we treated as a want-to task. When participants worked on a difficult have-to task before, amplitudes of the ERP-components in the risk game were raised compared to a condition where participants worked on an easy task before. We conclude that the motivation shift towards a want-to task after a have-to task can be assessed via ERP amplitudes.
In conclusion, it was shown that arousal, framing and motivation are important psychological variables that influence risk behavior. The specific mechanisms of these influences have been investigated and discussed.
Flatworm parasites (platyhelminths) cause serious infection diseases in humans, such as schistosomiasis and hydatid disease, mainly prevalent in developing countries. However, the current repertoire of drug armamentarium used to combat flatworm infections is limited. For instance, praziquantel is the only drug available for mass treatment of Schistosoma infections. In contrast to their hosts, flatworm parasites possess a distinct redox arrangement of redox pathways in which the selenoenzyme thioredoxin glutathione reductase (TGR) controls the overall redox homeostasis. Interference with this enzyme leads to parasite death. Hence, this key redox enzyme seems to be a new promising drug target against flatworm infections.
Because most flatworms are difficult to cultivate in the laboratory (e.g. Echinococcus granulosus experimental infection in mice takes about 10 month to develop into cysts), this work was focused on Mesocestoides vogae (syn. corti), a non-human flatworm parasite which is an interesting laboratory model to study other flatworm infections: it is very rare in humans, can be easily manipulated both in vivo and in vitro and grows extremely fast in mice. With the aim to assess TGR inhibitors as possible drugs to treat flatworm infections, the thioredoxin and glutathione pathways of M.vogae were studied. Here, the objectives were to study whether the biochemical pathways that maintain the redox homeostasis in M. vogae conform to the general biochemical scenario proposed for other platyhelminth parasites.
Here, it was proven that M. vogae extracts possess both thioredoxin and glutathione reductase activities. The thioredoxin and glutathione reductase activities were partially purified from total extracts by a combination of ammonium sulfate precipitation, anion exchange and hydroxyapatite chromatography. Both activities co-purified in all steps which strongly indicates the existence of TGR rather than a single TR and GR. Furthermore partially purified activities could be inhibited by the organogold compound auranofin, a known TGR inhibitor. Moreover, the glutathione reductase activity displays hysteresis (a peculiar kinetic behavior) at high concentrations of oxidised glutathione, a feature typical of flatworm TGRs, but not of conventional GR. Although M. vogae activities could not be purified to homogeneity, the overall results strongly indicate that this flatworm possesses TGR and lacks conventional GR and TR.
Furthermore the thiadiazole WPQ75 and the N-oxide VL16E (a furoxan derivate) were identified as inhibitors of TGR activity of M.vogae at a 10 µM concentration. These inhibitors were able to kill M.vogae larval worms in vitro as well as in experimental infection in mice.
Due to the existence of TGR activity in M.vogae, the possibility to inhibit this activity with recently discovered inhibitors of flatworm TGR and the successes achieved by testing these inhibitors both in vitro and in vivo, it is strongly evident that M. vogae would be an excellent model to assess TGR inhibitors in flatworm infections.
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
This dissertation presents controller design methodologies for a formation of cooperative mobile robots to perform trajectory tracking and convoy protection tasks. Two major problems related to multi-agent formation control are addressed, namely the time-delay and optimality problems. For the task of trajectory tracking, a leader-follower based system structure is adopted for the controller design, where the selection criteria for controller parameters are derived through analyses of characteristic polynomials. The resulting parameters ensure the stability of the system and overcome the steady-state error as well as the oscillation behavior under time-delay effect. In the convoy protection scenario, a decentralized coordination strategy for balanced deployment of mobile robots is first proposed. Based on this coordination scheme, optimal controller parameters are generated in both centralized and decentralized fashion to achieve dynamic convoy protection in a unified framework, where distributed optimization technique is applied in the decentralized strategy. This unified framework takes into account the motion of the target to be protected, and the desired system performance, for instance, minimal energy to spend, equal inter-vehicle distance to keep, etc.
Both trajectory tracking and convoy protection tasks are demonstrated through simulations and real-world hardware experiments based on the robotic equipment at Department of Computer Science VII, University of Würzburg.
Zhao Ji (1082-1135), better known as Emperor Huizong (r. 1100-1126) of the Southern Song Dynasty (960-1127) gained a reputation as supreme perfectionist as artist, art collector and connoisseur, a ruler devoted to the faith of Daoism, squandering a fortune on building palaces and halls and on landscape gardening. A famous example of his costly ‘folie de grandeur’ is the Sacred Northeast Mountain Peak Genyue, a gigantic rock garden in the northeast part of the Old City of the capital Kaifeng. The garden is described in sources such as the Huayanggong jishi (Description of the Florescent Solitary Palace) by the Buddhist monk Zu Xiu from 1127 and Zhang Hao’s (ca. 1180-1250) Genyue ji (Record of the Northeast Marchmount). The project in search of auspicious blessing started in 1118, having originated in the emperor’s conviction that the Daoist Immortals would descend to this exquisite paradise situated in the centre of the world, his capital. In his conviction the landscape garden that exceeded nature’s beauty would prolong and glorify his rule for ten thousand years. The Genyue was completed in January 1123, and thus became part of Emperor Huizong’s Divine Empyrean Daoist ideology of statecraft. Contrary to all auspicious symbolism, the Song’s emblematic demonstrations of power, and the necessity to meet political expectations, Emperor Huizong proved incapable of finding a solution to the disastrous situation at the northern frontier with Jin troupes moving onto his capital. Completed in 1123 the Genyue Marchmount was destroyed in the cold winter of 1126/1127 by the inhabitants of Kaifeng in their desperate struggle for survival in their besieged town.
Object six Degrees of Freedom (6DOF) pose estimation is a fundamental problem in many practical robotic applications, where the target or an obstacle with a simple or complex shape can move fast in cluttered environments. In this thesis, a 6DOF pose estimation algorithm is developed based on the fused data from a time-of-flight camera and a color camera. The algorithm is divided into two stages, an annealed particle filter based coarse pose estimation stage and a gradient decent based accurate pose optimization stage. In the first stage, each particle is evaluated with sparse representation. In this stage, the large inter-frame motion of the target can be well handled. In the second stage, the range data based conventional Iterative Closest Point is extended by incorporating the target appearance information and used for calculating the accurate pose by refining the coarse estimate from the first stage. For dealing with significant illumination variations during the tracking, spherical harmonic illumination modeling is investigated and integrated into both stages. The robustness and accuracy of the proposed algorithm are demonstrated through experiments on various objects in both indoor and outdoor environments. Moreover, real-time performance can be achieved with graphics processing unit acceleration.
Functionally active (conformational) autoantibodies directed against the β1-adrenergic receptor (β1-AR) are supposed to have a pathogenic relevance in human heart failure, particularly in idiopathic dilated cardiomyopathy (DCM). Prevalence of anti-β1-autoantibodies (anti-β1-aabs) in the healthy population is almost negligible, whereas it amounts to up to 30% in heart failure patients with idiopathic DCM. As β1-ARs are not restricted to the heart and are also highly expressed in particular segments of the nephron, it is conceivable that such autoantibodies might also affect kidney function to some extent through the activation of renal β1-ARs.
In the kidney, β1-ARs are highly abundant in the juxtaglomerular apparatus, the distal convoluted tubules, the collecting duct, and the renal arteries. However, the functional significance of β1-ARs at these particular sites along the nephron is poorly understood, as are the effects of conformational stimulating anti-β1-aabs on renal β1-ARs. From the available literature, it is well known that the β1-adrenergic system is involved in, e.g., the regulation of renin-secretion from juxtaglomerular cells. In addition, the β1-adrenergic system is thought to be involved in the regulation of the urine pH via type B-intercalated cells in the collecting duct. In contrast, the regulation of salt- and fluid-secretion in the medullary collecting duct appears to occur independently from the SNS.
As a consequence, the present work aimed to unravel the potential pathophysiological links between renal function, alterations in the cardiovascular system, and circulating agonist-like anti- β1-abs. We analyzed possible renal effects of anti-β1-abs in a human-analogous rat model. After immunization with a GST-fusion protein containing the second extracellular loop (β1-ECII) of the human β1-AR, Lewis-rats develop functionally active, stimulating, conformational anti-β1-ECII-abs. Within the first 6 months, anti-β1-ECII-ab-positive animals develop a hypertensive phenotype, which after 9 months evolves into a DCM phenotype.
In n=40 GST/ β1-ECII-immunized Lewis rats and n=40 age-matched, 0.9% NaCl-injected control animals, we sequentially (i.e. at months 1, 2, 3, 6, 9, 12, 15, and 18 after start of immunization) analyzed the changes in renal function on a molecular, functional, and structural level. We could show that the presence of stimulating anti-β1-ECII-abs – even though having detrimental effects on the heart – has only a minor impact on kidney function and structure. Within the first 3 months after induction of anti-β1-ECII-abs, the levels and activity of renin were significantly increased in immunized compared to corresponding control animals, which was confirmed by experiments on isolated perfused kidneys, in which anti-β1-ECII-abs were able to directly induce the liberation of renin. However, within several weeks the initial anti-β1-ECII-ab-mediated RAAS activation was counter-regulated by auto-regulatory mechanisms activated in the kidney. Similarly, glomerular filtration rate (GFR) and renal blood flow (RBF) were initially decreased in the presence of the stimulating anti-β1-ECII-abs, but returned to control values within 3 months after immunization of the animals. Although expression of several pro-fibrotic markers was significantly up-regulated in anti-β1-ECII-ab-positive rats, no significant differences were noted on a histomorphological level with regard to the occurrence of renal fibrosis, glomerular damage, tubular damage, and perivascular fibrosis. Only a mild decrease in glomerular filtration function was observed in the kidneys of anti-β1-ECII-ab-positive animals from immunization-month 12 on, apparent by increased levels of urinary protein.
Even though anti-β1-ECII-abs were able to induce mild changes in renal function, their effects were not strong enough to critically damage the kidneys in our rat-model. Differences between immunized anti-β1-ECII-ab-positive and corresponding control rats at later time-points (that is, from immunization-month 12 on) are most likely secondary to the progressive heart failure phenotype that immunized animals develop in the course of the experiment.
The present study is the first to focus on the effects of stimulating anti-β1-ECII-abs on the kidney, and on the prevalence of these effects for the heart (referred to as cardio-renal crosstalk). Although our results were obtained in a rat model, they might contribute to better understand the situation in anti-β1-AR-aab-positive human patients. Following the results of our experiments, treatment of such patients should focus on direct and specific neutralization/elimination of stimulating anti-β1-ECII-aab or at least comprise therapeutic strategies that counteract the anti-β1-ECII-aab-effects on the heart by standard treatment for heart failure (i.e. ACE inhibitors, AT1-receptor blockers, and β-blockers) according to current guidelines.
In this work, a novel method for estimating the relative pose of a known object is presented, which relies on an application-specific data fusion process. A PMD-sensor in conjunction with a CCD-sensor is used to perform the pose estimation. Furthermore, the work provides a method for extending the measurement range of the PMD sensor along with the necessary calibration methodology. Finally, extensive measurements on a very accurate Rendezvous and Docking testbed are made to evaluate the performance, what includes a detailed discussion of lighting conditions.
In this work, three different material systems comprising carbon were researched: (i) Organic polymers and small molecules, in conjunction with fullerene molecules for applications in organic photovoltaics (OPV), (ii) single walled semiconducting carbon nanotubes and (iii) silicon carbide (SiC), whose defect color centers are recently in the limelight as candidates for quantum applications. All systems were analyzed using the optically detected magnetic resonance (ODMR) spectroscopy.
In the OPV chapter, first the intrinsic parameters and orientations of high spin excitons were analyzed in the materials P3HT, PTB7 and DIP. Specifically the influence of ordering in these organic systems was adressed. The second part of the OPV chapter is concerned with triplet generation by electron back transfer in the high-efficiency OPV material combination PTB7:PC71BM.
The carbon nanotube chapter first shows the way to the first unambiguous proof of the existence of triplet excitons in semiconducting (6,5) single-walled carbon nanotubes (SWNT) by ODMR spectroscopy. A model for exciton kinetics, and also orientation and intrinsic parameters were propoesed.
The last part of this work is devoted to spin centers in silicon carbide (SiC). After a brief introduction, the spin multiplicity of the V2 and V3 silicon vacancies, and also of a Frenkel pair and an unassigned defect UD in 6H SiC, and of the V2 vacancy and the Frenkel pair in 4H SiC, was shown to be S=3/2. The spin polarized pumping of the 3/2 manifold of the quartet ground state of the silicon vacancies allows stimulated microwave emission. Furthermore, in 6H SiC, the UD and Frenkel pair were shown to have a large dependence of their intrinsic zero field interaction parameters on the temperature, while the vacancies are temperature independent. The application of the UD and Frenkel pair as temperature sensor, and of the vacancies as a vector magnetic field sensor is discussed.
Quantum theory is considered to be the most fundamental and most accurate physical theory of today. Although quantum theory is conceptually difficult to understand, its mathematical structure is quite simple. What determines this particularly simple and elegant mathematical structure? In short: Why is quantum theory as it is?
Addressing such questions is the aim of investigating the foundations of quantum theory. In the past this field of research was sometimes considered as an academic subject without much practical impact. However, with the emergence of quantum information theory this perception has changed significantly and both fields started to fruitfully influence each other. Today fundamental aspects of quantum theory attract increasing attention and the field belongs to the most exciting subjects of theoretical physics.
This thesis is concerned with a particular branch in this field, namely, with so-called Generalized Probabilistic Theories (GPTs), which provide a unified theoretical framework in which classical and quantum theory emerge as special cases. This is used to examine nonlocal features that help to distinguish quantum theory from alternative toy theories. In order to extend the scope of theories that can be examined with the framework, we also introduce several generalizations to the framework itself.
We start in Chapter 1 with introducing the standard GPT framework and summarize previous results, based on a review paper of the author [New J. Phys. 13, 063024 (2011)]. To keep the introduction accessible to a broad readership, we follow a constructive approach. Starting from few basic physically motivated assumptions we show how a given set of observations can be manifested in an operational theory. Furthermore, we characterize consistency conditions limiting the range of possible extensions. We point out that non-classical features of single systems can equivalently result from higher dimensional classical theories that have been restricted. Entanglement and non-locality, however, are shown to be genuine non-classical features. We review features that have been found to be specific for quantum theory separably or single and joint systems.
Chapter 2 incorporates results published in [J. Phys. A 47(32), pp. 1-32 (2014)] and [Proc. QPL 2011 via EPTCS vol. 95, pp. 183–192 (2012)]. The GPT framework is applied to show how the structure of local state spaces indirectly affects possible nonlocal correlations, which are global properties of a theory. These correlations are stronger than those possible in a classical theory, but happen to show different restrictions that can be linked to the structure of subsystems. We first illustrate the phenomenon with toy theories with particular local state spaces. We than show that a particular class of joint states (inner product states), whose existence depends on geometrical properties of the local subsystems, can only have correlations for a known limited set called Q1. All bipartite correlations of both, quantum and classical correlations, can be mapped to measurement statistics from such joint states.
Chapter 3 shows unpublished results on entanglement swapping in GPTs. This protocol, which is well known in quantum information theory, allows to nonlocally transfer entanglement to initially unentangled parties with the help of a third party that shares entanglement with each. We review our approach published in [Proc. QPL 2011 via EPTCS vol. 95, pp. 183–192 (2012)], which mimics the joint systems' structure of quantum theory by modifying a popular toy theory known as boxworld. However, it is illustrated that this approach fails for bigger multipartite systems due to inconsistencies evoked by entanglement swapping. It turns out that the GPT framework does not allow entanglement swapping for general subsystems with two-dimensional state spaces with transitive pure states. Altering the GPT framework to allow completely globally degrees of freedom, however, enables us to construct consistent entanglement swapping for these subsystems. This construction resembles the situation in quantum theory on a real Hilbert space.
A questionable assumption usually taken in the standard GPT framework is the so-called no-restriction hypothesis. It states that the measurement that are possible in a theory can be derived from the state space. In fact, this assumption seems to exist for reasons of mathematical convenience, but it seems to lack physical motivation. We generalize the GPT framework to also account for systems that do not obey the no-restriction hypothesis in Chapter 4, which presents results published in [Phys. Rev. A 87, 052131 (2013)] and [Proc. QPL 2013, to be published in EPTCS]. The extended framework includes new classes of probabilistic theories. As an example, we show how to construct theories that include intrinsic noise. We also provide a "self-dualization" procedure that requires the violation of the no-restriction hypothesis. This procedure restricts the measurement of arbitrary theories such that the theories act as if they were self-dual. Self-duality has recently gathered lots of interest, since such theories share many features of quantum theory. For example Tsirelson’s bound holds for correlations on the maximally entangled state in these theories. Finally, we characterize the maximal set of joint states that can be consistently defined for given subsystems. This generalizes the maximal tensor product of the standard GPT framework.
The number of newly detected autoantibodies (AB) targeting synaptic proteins in neurological disorders of the central nervous system (CNS) is steadily increasing. Direct interactions of AB with their target antigens have been shown in first studies but the exact pathomecha-nisms for most of the already discovered AB are still unclear. The present study investigates pathophysiological mechanisms of AB-fractions that are associated with the enigmatic CNS disease Stiff person syndrome (SPS) and target the synaptically located proteins amphiphysin or glutamate decarboxylase 65 (GAD65).
In the first part of the project, effects of AB to the presynaptic endocytic protein amphiphysin were investigated. Ultrastructural investigations of spinal cord presynaptic boutons in an es-tablished in-vivo passive-transfer model after intrathecal application of human anti-amphiphysin AB showed a defect of endocytosis. This defect was apparent at high synaptic activity and was characterized by reduction of the synaptic vesicle pool, clathrin coated vesi-cles (CCVs), and endosome like structures (ELS) in comparison to controls. Molecular inves-tigation of presynaptic boutons in cultured murine hippocampal neurons with dSTORM microscopy after pretreatment with AB to amphiphysin revealed that marker proteins involved in vesicle exocytosis (synaptobrevin 2 and synaptobrevin 7) had an altered expression in GA-BAergic presynapses. Endophilin, a direct binding partner of amphiphysin also displayed a disturbed expression pattern. Together, these results point towards an anti-amphiphysin AB-induced defective organization in GABAergic synapses and a presumably compensatory rearrangement of proteins responsible for CME.
In the second part, functional consequences of SPS patient derived IgG fractions containing AB to GAD65, the rate limiting enzyme for GABA synthesis, were investigated by patch clamp electrophysiology and immunohistology. GABAergic neurotransmission at low and high activity as well as short term plasticity appeared normal but miniature synaptic potentials showed an enhanced frequency with constant amplitudes. SPS patient IgG after preabsorption of GAD65-AB using recombinant GAD65 still showed specific synaptic binding to neu-rons and brain slices supporting the hypothesis that additional, not yet characterized AB are present in patient IgG responsible for the exclusive effect on frequency of miniature potentials.
In conclusion, the present thesis uncovered basal pathophysiological mechanisms underlying paraneoplastic SPS induced by AB to amphiphysin leading to disturbed presynaptic architec-ture. In idiopathic SPS, the hypothesis of a direct pathophysiological role of AB to GAD65 was not supported and additional IgG AB are suspected to induce distinct synaptic malfunction.
In this thesis we study smoothness properties of primal and dual gap functions for generalized Nash equilibrium problems (GNEPs) and finite-dimensional quasi-variational inequalities (QVIs). These gap functions are optimal value functions of primal and dual reformulations of a corresponding GNEP or QVI as a constrained or unconstrained optimization problem. Depending on the problem type, the primal reformulation uses regularized Nikaido-Isoda or regularized gap function approaches. For player convex GNEPs and QVIs of the so-called generalized `moving set' type the respective primal gap functions are continuously differentiable. In general, however, these primal gap functions are nonsmooth for both problems. Hence, we investigate their continuity and differentiability properties under suitable assumptions. Here, our main result states that, apart from special cases, all locally minimal points of the primal reformulations are points of differentiability of the corresponding primal gap function.
Furthermore, we develop dual gap functions for a class of GNEPs and QVIs and ensuing unconstrained optimization reformulations of these problems based on an idea by Dietrich (``A smooth dual gap function solution to a class of quasivariational inequalities'', Journal of Mathematical Analysis and Applications 235, 1999, pp. 380--393). For this purpose we rewrite the primal gap functions as a difference of two strongly convex functions and employ the Toland-Singer duality theory. The resulting dual gap functions are continuously differentiable and, under suitable assumptions, have piecewise smooth gradients. Our theoretical analysis is complemented by numerical experiments. The solution methods employed make use of the first-order information established by the aforementioned theoretical investigations.
Background: Food craving refers to an intense desire to consume a specific kind of food of which chocolate is the most often craved one. It is this intensity and specificity that differentiates food craving from feelings of hunger. Although food craving and hunger often co-occur, an energy deficit is not a prerequisite for experiencing food craving, that is, it can also occur without being hungry. Food craving often precedes and predicts over- or binge eating which makes it a reasonable target in the treatment of eating disorders or obesity. One of the arguably most extensively validated measures for the assessment of food craving are the Food Cravings Questionnaires (FCQs), which measure food craving on a state (FCQ-S) and trait (FCQ-T) level. Specifically, the FCQ-S measures the intensity of current food craving whereas the FCQ-T measures the frequency of food craving experiences in general. The aims of the present thesis were to provide a German measure for the assessment of food craving and to investigate cognitive, behavioral, and physiological correlates of food craving. For this purpose, a German version of the FCQs was presented and its reliability and validity was evaluated. Using self-reports, relationships between trait food craving and dieting were examined. Cognitive-behavioral correlates of food craving were investigated using food-related tasks assessing executive functions. Psychophysiological correlates of food craving were investigated using event-related potentials (ERPs) in the electroencephalogram and heart rate variability (HRV). Possible intervention approaches to reduce food craving were derived from results of those studies.
Methods: The FCQs were translated into German and their psychometric properties and correlates were investigated in a questionnaire-based study (articles #1 & #2). The relationship between state and trait food craving with executive functioning was examined with behavioral tasks measuring working memory performance and behavioral inhibition which involved highly palatable food-cues (articles #3 & #4). Electrophysiological correlates of food craving were tested with ERPs during a craving regulation task (article #5). Finally, a pilot study on the effects of HRV-biofeedback for reducing food craving was conducted (article #6).
Results: The FCQs demonstrated high internal consistency while their factorial structure could only partially be replicated. The FCQ-T also had high retest-reliability which, expectedly, was lower for the FCQ-S. Validity of the FCQ-S was shown by positive relationships with current food deprivation and negative affect. Validity of the FCQ-T was shown by positive correlations with related constructs. Importantly, scores on the subscales of the FCQ-T were able to discriminate between non-dieters and successful and unsuccessful dieters (article #1). Furthermore, scores on the FCQ-T mediated the relationship between rigid dietary control strategies and low dieting success (article #2). With regard to executive functioning, high-calorie food-cues impaired working memory performance, yet this was independent of trait food craving and rarely related to state food craving (article #3). Behavioral disinhibition in response to high-calorie food-cues was predicted by trait food craving, particularly when participants were also impulsive (article #4). Downregulation of food craving by cognitive strategies in response to high-calorie food-cues increased early, but not later, segments of the Late Positive Potential (LPP) (article #5). Few sessions of HRV-biofeedback reduced self-reported food cravings and eating and weight concerns in high trait food cravers (article #6).
Conclusions: The German FCQs represent sound measures with good psychometric properties for the assessment of state and trait food craving. Although state food craving increases during cognitive tasks involving highly palatable food-cues, impairment of task performance does not appear to be mediated by current food craving experiences. Instead, trait food craving is associated with low behavioral inhibition in response to high-calorie food-cues, but not with impaired working memory performance. Future studies need to examine if trait food craving and, subsequently, food-cue affected behavioral inhibition can be reduced by using food-related inhibition tasks as a training. Current food craving and ERPs in response to food-cues can easily be modulated by cognitive strategies, yet the LPP probably does not represent a direct index of food craving. Finally, HRV-biofeedback may be a useful add-on element in the treatment of disorders in which food cravings are elevated. To conclude, the current thesis provided measures for the assessment of food craving in German and showed differential relationships between state and trait food craving with self-reported dieting behavior, food-cue affected executive functioning, ERPs and HRV-biofeedback. These results provide promising starting points for interventions to reduce food craving based on (1) food-cue-related behavioral trainings of executive functions, (2) cognitive craving regulation strategies, and (3) physiological parameters such as HRV-biofeedback.
The analysis of the 2014 elections to Lok Sabha in India describes the results and their enormous extent with a differentiate regard to social group voting. Considering the election campaign’s performativity and issues of contestation the landslide victory of BJP (Bharatiya Janata Party) will be illuminated. Through a closer examination of party coalitions, the electoral system, and the leadership factor the BJP’s clear victory over Congress Party will be explained. Besides the opportunity for significant economic and political reforms, the author conjectures a potential for dangerous tendencies to Indian democracy owing to such a resourceful government, which are compared with the government constraints, especially by federal arrangements.
The second part of the article argues that civil society in India is composed of several layers that are distinct and overlap at the same time. Five versions of the same are significant: 1) institutions avowing secular nationalism that upholds inclusive citizenship, equality of treatment, and non-discrimination; 2) a phalanx of institutions inspired by the Gandhian idea of swaraj that are deeply vary of the state and its apparatus and envisage a life of freedom constituted around self-determining associations built from below; 3) such orientations and impulses which stress on religiously inspired values and traditions with its archetypal representation in Hindu nationalism; 4) those who highlight difference and diversity as central to Indian society and stress this fact as foundational to Indian nationalism; 5) and those who are in favour of a right-based approach to citizenship and rule of law in India. Alluding to these distinctive domains constitutive of civil society in India the paper argues that the success of the Bharatiya Janata Party, and the coalition that it led, in the General elections of 2014 rested on its ability in tapping resources from different layers of civil society while making institutions woven around Hindu identity as its anchor.
Staphylococcus aureus is a major threat to public health systems all over the globe. This second most cause of nosocomial infections is able to provoke a wide variety of different types of infection in humans and animals, ranging from superficial skin and skin structure infections to invasive disease like sepsis or pneumonia. But not enough, this pathogen is also notorious in acquiring and/or developing resistance to antimicrobial compounds, thus limiting available treatment options severely. Therefore, development of new compounds and strategies to fight S. aureus is of paramount importance. But since only 1 out of 5 compounds, which entered clinical trials, becomes a drug, the preclinical evaluation of promising compounds has to be reconsidered, too. The aim of this thesis was to address both sides of this problem: first, to improve preclinical testing by incorporating in vivo imaging technologies to the preclinical testing procedure in order to acquire additional and clearer data about efficacy of promising compounds and second, by evaluating lysostaphin, which is a promising, new option to fight S. aureus infections.
The first aim of this thesis focused on the establishment of a dual modality in vivo imaging platform, consisting of Bioluminescence Imaging (BLI) and Magnetic Resonance Imaging (MRI), to offer detailed insights into the course and gravity of S. aureus infection in the murine thigh infection model. Since luciferase-expressing S. aureus strains were generated in former studies and enabled thus bioluminescence imaging of bacterial infection, this technology should be implemented into the compound evaluation platform in order to non-invasively track the bacterial burden over time. MRI, in contrast, was only rarely used in earlier studies to visualize and measure the course of infection or efficacy of anti-bacterial therapy. Thus, the first set of experiments was performed to identify benefits and drawbacks of visualizing S. aureus infections in the mouse model by different MR methods. Native, proton-based MR imaging showed in this regard increased T2 relaxation times in the infected thigh muscles, but it was not possible to define a clear border between infected and uninfected tissue. Iron oxide nanoparticles and perfluorocarbon emulsions, two MR contrast agents or tracer, in contrast, offered this distinction. Iron oxide particles were detected in this regard by their distortion of 1H signal in proton-based MRI, while perfluorocarbon emulsion was identified by 19F MRI. Mammals do not harbor sufficient intrinsic amounts of 19F to deliver specific signal and therefore, 19F MR imaging visualizes only the signal of administered perfluorocarbon emulsion. The in vivo accumulation of perfluorocarbon emulsion can be imaged by 19F MRI and overlayed on a simultaneously acquired 1H MR image, which shows the anatomical context in clear detail. Since this is advantageous compared to contrast agent based MR methods like iron oxide particle-based MRI, further experiments were performed with perfluorocarbon emulsions and 19F MRI.
Experimental studies to elucidate the accumulation of perfluorocarbon emulsion at the site of infection showed robust 19F MR signals after administration between day 2 and at least day 8 p.i.. Perfluorocarbon emulsion accumulated in all investigated mice in the shape of a ‘hollow sphere’ at the rim of the abscess area and the signal remained stable as long as the infection prevailed. In order to identify the mechanism of accumulation, flow cytometry, cell sorting and histology studies were performed. Flow cytometry and cell sorting analysis of immune cells at the site of infection showed that neutrophils, monocytes, macrophages and dendritic cells carried contrast media at the site of infection with neutrophils accounting for the overwhelming portion of perfluorocarbon signal. In general, most of the signal was associated with immune cells, thus indicating specific immune cell dependent accumulation. Histology supported this observation since perfluorocarbon emulsion related fluorescence could only be visualized in close proximity to immune cell nuclei.
After establishing and testing of 19F MRI with perfluorocarbon emulsions as infection imaging modality, the effects of antibiotic therapy upon MR signal was investigated in order to evaluate the capability of this modality for preclinical testing procedure. Thus, the efficacy of vancomycin and linezolid, two clinically highly relevant anti - S. aureus compounds, were tested in the murine thigh infection model. Both of them showed reduction of the colony forming units and bioluminescence signal, but also of perfluorocarbon emulsion accumulation strength and volume at the site of infection, which was visualized and quantified by 19F MRI. The efficacy pattern with linezolid being more efficient in clearing bacterial infection was shown similarly by all three methods. In consequence, 19F MRI with perfluorocarbon emulsion as MR tracer proved to be capable to visualize antibacterial therapy in preclinical testing models.
The next step was consequently to evaluate a promising new compound against S. aureus infections. Thus, lysostaphin, an endo-peptidase that cleaves the cell wall of S. aureus, was tested in different concentrations alone or in combination with oxacillin for efficacy in murine thigh and catheter associated infection models. Lysostaphin only in the concentration of 5 mg/kg body weight or combined with oxacillin in the concentration of 2 mg/kg showed strong reduction of bacterial burden by colony forming unit determination and bioluminescence imaging in both models. The perfluorocarbon accumulation was investigated in the thigh infection model by 19F MRI and was strongly reduced in terms of volume and signal strength in both above-mentioned groups. In general, lysostaphin showed comparable or superior efficacy than vancomycin or oxacillin alone. Therefore, further development of lysostaphin for the treatment of S. aureus infections is recommended by these experiments. Overall, the antibiotic efficacy pattern of all applied antibiotic regimens was similar with all three applied methods, demonstrating the usefulness of MRI for antibiotic efficacy testing. Importantly, treatment with oxacillin either alone or in combination with lysostaphin resulted in stronger perfluorocarbon emulsion accumulation at the site of infection than expected compared to the results from bioluminescence imaging and colony forming unit determination. This might be an indication for immunomodulatory properties of oxacillin.
Further murine infection experiments demonstrated in this context a differential release of cytokine and chemokines in the infected thigh muscle in dependence of the applied antibacterial therapy. Especially treatment with oxacillin, but to a less degree with minocycline or linezolid, too, exhibited high levels of various cytokines and chemokines, although they reduced the bacterial burden efficiently. In consequence, possible immunomodulatory effects of antibacterial compounds have to be taken into account for future applications of imaging platforms relying on the visualization of the immune response. However, this observation opens a new field for these imaging modalities since it might be extraordinary interesting to study the immunomodulatory effects of compounds or even bacterial factors in vivo. And finally, a two modality imaging platform which combines methods to visualize on the one hand the bacterial burden and on the other hand the immune response offers an innovative, new platform to study host-pathogen interaction in vivo in a non-invasive fashion.
In summary, it could be shown that perfluorocarbon emulsions accumulate in immune cells at the site of infection in the murine S. aureus thigh infection model. The accumulation pattern shapes a ‘hollow sphere’ at the rim of the abscess area and its size and perfluorocarbon content is dependent on the severity of disease and/or efficacy of antibiotic therapy. Thus, 19F MRI with perfluorocarbon emulsions is a useful imaging modality to visualize sites and course of infection as well as to evaluate promising antibacterial drug candidates. Furthermore, since the accumulation of tracer depends on immune cells, it might be additionally interesting for studies regarding the immune response to infections, auto-immune diseases or cancer, but also to investigate the efficacy of immunomodulatory compounds and immunization.
This technical report introduces the Descartes Modeling Language (DML), a new architecture-level modeling language for modeling Quality-of-Service (QoS) and resource management related aspects of modern dynamic IT systems, infrastructures and services. DML is designed to serve as a basis for self-aware resource management during operation ensuring that system QoS requirements are continuously satisfied while infrastructure resources are utilized as efficiently as possible.
Recently a new state of matter was discovered in which the bulk insulating state in a material is accompanied by conducting surface or edge states. This new state of matter can be distinguished from a conventional insulator phase by the topological properties of its band structure which led to the name "topological insulators". Experimentally, topological insulator states are mostly found in systems characterized by a band inversion compared to conventional systems. In most topological insulator systems, this is caused by a combination of energetically close bands and spin orbit coupling. Such properties are found in systems with heavy elements like Hg and Bi. And indeed, the first experimental discovery of a topological insulator succeeded in HgTe quantum wells and later also in BiSb bulk systems.
Topological insulators are of large interest due to their unique properties: In 2-dimensional topological insulators one dimensional edge states form without the need of an external magnetic field (in contrast to the quantum Hall effect). These edge states feature a linear band dispersion, a so called Dirac dispersion. The quantum spin Hall states are helical edge states, which means they consist of counterpropagating oppositely spin polarized edge channels. They are therefore of great potential for spintronic applications as well as building blocks for new more exotic states like Majorana Fermions. 3-dimensional topological insulators feature 2-dimensional surface states with only one Dirac band (also called Dirac cone) on each surface and an interesting spin texture where spin and momentum are locked perpendicular to each other in the surface plane. This unique surface band structure is predicted to be able to host several exotic states like e.g. Majorana Fermions (in combination with superconductors) and magnetic monopole like excitations.
This PhD thesis will summarize the discovery of topological insulators and highlights the developments on their experimental observations. The work focuses on HgTe which is up to now the only topological insulator material where the expected properties are unambiguously demonstrated in transport experiments. In HgTe, the topological insulator properties arise from the inversion of the Gamma_6 and Gamma_8 bands. The band inversion in HgTe is due to a combination of a high spin orbit splitting in Te and large energy corrections (due to the mass-velocity term) to the energy levels in Hg. Bulk HgTe, however, is a semimetal, which means for the conversion into a topological insulator a band gap has to be opened. In two dimensions (HgTe quantum well structures) this is achieved via quantum confinement, which opens a band gap between the quantum well subbands. In three dimensions, strain is used to lift the degeneracy of the semimetallic Gamma_8 bands opening up a band gap.
The thesis is structured as follows:
- The first chapter of this thesis will give a brief overview on discoveries in the field of topological insulators. It focuses on works relevant to experimental results presented in the following chapters. This includes a short outline of the early predictions and a summary of important results concerning 2-dimensional topological insulators while the final section discusses observations concerning 3-dimensional topological insulators.
- The discovery of the quantum spin Hall effect in HgTe marked the first experimental observation of a topological insulator. Chapter 2 will focus on HgTe quantum wells and the quantum spin Hall effect.
Above a critical thickness, HgTe quantum wells are predicted to host the quantum spin Hall state, the signature of a 2-dimensional topological insulator. HgTe quantum wells exhibiting low carrier concentrations and at the same time high carrier mobilities are required to be able to measure the quantum spin Hall effect. The growth of such high quality HgTe quantum wells was one of the major goals for this work. Continuous optimization of the substrate preparation and growth conditions resulted in controlled carrier densities down to a few 10^10 cm^-2. At the same time, carrier mobilities exceeding 1 x 10^6 cm^2/Vs have been achieved, which provides mean free paths of several micrometers in the material. Thus the first experimental evidence for the existence of the quantum spin Hall edge states succeeded in transport experiments on microstructures: When the Fermi energy was located in the bulk band gap a residual quantized resistance of 2e^2/h was found. Further experiments focused on investigating the nature of transport in this regime. By non-local measurements the edge state character could be established. The measured non-local resistances corresponded well with predictions from the Landauer-Büttiker theory applied to transport in helical edge channels.
In a final set of experiments the spin polarization of the edge channels was investigated. Here, we could make use of the advantage that HgTe quantum well structures exhibit a large Rashba spin orbit splitting. In systems with a large Rashba spin orbit splitting a spin accumulation is expected to occur at the edge of the sample perpendicular to a current flow. This so-called spin Hall effect was then used as a spin injector and detector. Using split gate devices it was possible to bring spin Hall and quantum spin Hall state into direct contact, which enabled an all electrical detection of the spin polarization of the quantum spin Hall edge channels.
- HgTe as a 3-dimensional topological insulator will be presented in chapter 3. Straining the HgTe layer enables the observation of topological insulator behavior. It was found that strain can be easily implemented during growth by using CdTe substrates. CdTe has a slightly larger lattice constant than HgTe and therefore leads to tensile strain in the HgTe layer as long as the growth is pseudomorphic. Magnetotransport studies showed the emergence of quantum Hall transport with characteristic signatures of a Dirac type bandstructure. Thus, this result marks the first observation of the quantum Hall effect in the surface states of a 3-dimensional topological insulator.
Transport experiments on samples fitted with a top gate enabled the identification of contributions from individual surfaces. Furthermore, the surface state quantum Hall effect was found to be surprisingly stable, perturbations due to additional bulk transport could not be found, even at high carrier densities of the system.
- Chapters 4 - 6 serve as in depth overviews of selected works: Chapter 4 presents a detailed overview on the all electrical detection of the spin Hall effect in HgTe quantum wells. The detection of the spin polarization of the quantum spin Hall effect is shown in chapter 5 and chapter 6 gives a detailed overview on the quantum Hall effect originating from the topological surface state in strained bulk HgTe.
The investigations discussed in this thesis pioneered the experimental work on the transport properties of topological insulator systems. The understanding of the fundamental properties of topological insulators enables new experiments in which e.g. the inclusion of magnetic dopants or the interplay between topological insulator and superconductors can be investigated in detail.
Assessing particle deposition in a representative in vitro model of the rat respiratory tract
(2014)
The aim of this thesis was to develop an in vitro model (IVR) of the rat lung for the purpose of investigating the deposition of drug particles in the rat airways. The model attempted to account for the affect of drug product characteristics and physiological parameters on deposition in the lungs. In addition, the model outputs were compared with in vivo lung deposition results from live rats and in silico predictions using published computer model of lung deposition in pre-clinical species.
Initial work focussed on developing an aerosol exposure system capable of dosing small rodent to a range of airborne test materials. The system consists of two main parts; a fluidised bed aerosol generator and connection of the generator output to a nose only exposure chamber capable of accommodating 12 small animals in a single layer. In addition, an aerodynamic particle spectrometer (APS) was installed for continuously measuring the size distribution and airborne concentration of aerosol particles generated in the exposure chamber. System validation showed acceptable degree of variation of the test material tested, Fluorescent Microspheres (FMS) throughout the exposure chamber (CV < 15.0%). Particle size (MMAD ± GSD) using the APS was shown to be stable throughout the exposure periods.
The IVR model developed in this project was based on a number of euthanased (n=7), female Sprague-Dawley rats (weight: 372 ± 56 g), which underwent high-resolution micro-CT scans. The physical model consisted of five sub sections; Extra-Thoracic region containing the snout and nasophyarynx, trachea-bronchial region containing the trachea, bronchi, and bronchioles. All sections of the model were attached to one another in numerical order and housed within a containment unit. At the rear end of the cast, a flexible diaphragm was attached in order to collect the fraction of inhaled particles exiting the TB section and possibly reaching the lung, referred to as the Post-TB section.
A study was conducted to assess the influence of inhalation parameters such as the breathing frequency and tidal volume on total and regional dose distribution using FMS as test material. The major finding of this study was the demonstration of the model sensitivity to changes in breathing parameters especially respiratory frequency, where the data showed increased deposition in the peripheral regions of the model with decreased respiratory frequency. Other studies assessed the effect of particle characteristics on deposition on the IVR model, such as particle size, dose increase and formulation changes.
The results assessing particle size effect showed a slightly higher deposition levels for the 4µm sized particles versus 2µm sized particles in the head region; 90.8 ± 3.6% and 88.2 ± 6.6%. However, this difference did not reach statistical significance (P> 0.05) probably due to the polydispersity of aerosolised FMS particles. In addition, the regional deposition analysis showed an increased lung peripheral deposition with the smaller particles. In addition, the model was shown to be sensitive to changes in formulation composition mediated by inclusion of MgSt.
The next stage of work was to validate the model in terms of comparison with lung deposition for in vivo rats. For lung deposition comparison, the absolute amount deposited in the IVR lung model (expressed as µg/kg) was shown to have a reasonably strong correlation with in vivo lung concentration measures (µg/kg); R2= 0.66, P < 0.05. Compounds were predicted well and within 2-folds of the measured lung deposition values. However, knowing the variability in biological systems and the multiple components required to estimate lung doses, predictions within 2-fold of the measured values would seem reasonable
In terms of comparison with in silico model predictions using MPPD, similar deposition levels were noted between the two models, particularly when the data was expressed as percentage of total particles inhaled. The data showed the highest deposition levels were noted in the head region (> 80%) and less than 5.0% deposition for the peripheral lung fractions.
With regards to using the IVR model to assess the relationship between dose, particle size and efficacy, an in vivo study using FP with different particle sizes (2.0 and 4.0 µm) but same doses ( 100 and 1000 µg/kg). This study demonstrated that exposure of rat to FP powder resulted in a dose-dependent inhibition of neutrophils in BAL fluids. However, a clear difference in neutrophils suppression was demonstrated for equivalent doses but different particle sizes of FP, where the smaller FP particles (2.0 µm) induced a greater level of neutrophils suppression in comparison with larger FP particles (4.0 µm). In addition, a reasonably good correlation for the relationship between lung deposition in the IVR model and a neutrophils suppression level was demonstrated. Furthermore this data support the hypothesis that regional deposition is an important determinant in efficacy. Therefore, this suggests that the IVR model may be a useful as a tool to describe in vivo efficacy with in vitro data. However, further studies should be conducted to evaluate the validity of this model and relationship.
The IVR model has a number of important limitations. First, the model is based on scans up to generation four of the rat respiratory tract as this represented the limits of the micro-CT scanning technology at the time of this study. Therefore deposition in the deeper region of the lung may not be reflected precisely in the IVR model. Second, the regional deposition data generated using the model tended to show an overestimation of deposition in head region and an underestimation of deposition in the peripheral regions of the lung, in comparison with in vivo lung deposition data. Third, the current model does not take into account lung clearance. However, the amount of the drug present in the in vivo lungs is dependent on numerous physiological processes such as dissolution, passive or active absorption into the systemic circulation, binding to lung tissue and mucociliary clearance. Consequently, the results generated using this IVR model for drug molecules with high lung clearance rate should be treated with some caution.
Future work extending this research could go in a number of directions. In this research, a representative model of the rat respiratory tract was constructed from analysis of imaging data from a number of euthanised Sprague-Dawley rats. This model represented the “average respiratory tract” in terms of dimensions of Sprague-Dawley rats. However, there is considerable variability in the airway dimensions between rats. This variability encompasses a number of factors such as the strains of rats, sex and age, and disease state. Thus, it may be possible to produce a small number of airway models to represent small and large rats and scaled to represent the extrathoracic and peripheral regions based on literature reports of their dimensions in different rat populations. This approach will then enable the effect of intersubject airway dimensions for different rat populations on aerosol deposition to be thoroughly examined.
In addition, due to the limitation of the micro-CT technology used to construct the physical IVR model, detailed morphology only up to generation 4 were captured. However, recent advances in MRI technology, such as the use of in situ-MRI based scanning technology have enabled rat airway morphometry to be extended to 16 airway generation. This coupled with improvements in the resolutions of rapid-prototyping process means it may be possible to construct a rat model that reflects the in vivo lung morphology more accurately, and thus enable greater understanding of the link between aerosol deposition and airway geometry.
In conclusion, a model cast of the rat lung was developed and validated to allow the deposition of inhaled particles in the rat lung to be investigated. The model may be used to estimate the lung concentration in vivo rats in preference to exposure concentration measurements based on filter samples which have been shown to be a poor indicator of the lung concentration immediately after exposure. In addition, the model has the potential to be used along with live rats in an inhalation rig in pulmonary pharmaceutics research and may facilitate in development of inhaled formulations to target specific regions within the lung as well as screening of inhaled drugs in preclinical setting.
Motivation and Aim:
Cardiovascular disease has been the leading cause of mortality and morbidity throughout the world. In developed countries, cardiovascular diseases are already responsible for a majority of deaths and will become the pre-eminent health problem worldwide (1,2). Rupture of atherosclerotic plaque accounts for approximately 70% of fatal acute myocardial infarction and sudden heart deaths. Conventional criterias for the diagnosis of “vulnerable plaques” are calcified nodules, yellow appearance of plaque, a thin cap, a large lipid core, severe luminal stenosis, intraplaque hemorrhage, inflammation, thrombogenicity, and plaque injury (3-5).
Noninvasive diagnosis of vulnerable plaque still remains a great challenge and a huge research prospect, which triggered us to investigate the feasibility of PET imaging on the evaluation of atherosclerosis. Nuclear imaging of atherosclerosis, especially co-registered imaging modalities, could provide a promising diagnostic tool including both anatomy and activities to identify vulnerable atherosclerotic plaque or early detection of inflammatory endothelium at risk. Furthermore, the development of specific imaging tracers for clinical applications is also a challenging task. The aim of this work was to assess the potential of novel PET imaging probes associated with intra-plaque inflammation on animal models and in human respectively.
Methods
In this work, several molecular imaging modalities were employed for evaluation of atherosclerosis. They included Positron emission tomography / Computed tomography (PET/CT) for human studies, and micro-PET, autoradiography and high-resolution magnetic resonance imaging (MRI) for animal studies. Radiotracers for PET imaging included the glucose analogue 18F-Fluorodeoxyglucose (18F-FDG), the somatostatin receptor avide tracer 68Ga-DOTATATE, and the Gallium-68 labeled fucoidan (68Ga-Fucoidan), which was developed as a PET tracer to detect endothelial P-selectin, which overexpressed at early stage of atherosclerosis and endothelial overlying activated plaque. Tracer’s capabilities were firstly assessed on cellular level in vitro. Subsequently, Animal studies were conducted in two animal models: 1, Apolipoprotein E (ApoE-/-) mice having severe atherosclerotic plaque; 2, Lipopolysaccharide (LPS) -induced mice for receiving acute vascular inflammation. Corresponding analyses on protein and histological level were conducted as well to confirm our results.
In human study, 16 patients with neuroendocrine tumors (NETs) were investigated on imaging vascular inflammation. These patients had undergone both 68Ga-DOTATATE PET/CT and 18F-FDG PET/CT for staging or restaging within 6 weeks. 16 patients were randomized into two groups: high-risk group and low-risk group. Uptake ratio of both tracers from two groups were compared and correlated with common cardiovascular risk factors.
Results and Conclusion
In murine study, the expression of somatostatin receptor 2, which is the main bio-target of 68Ga-DOTATATE on macrophage/monocyte was confirmed by flow cytometry and immunohistochemistry. Prospectively, high specific accumulation of 68Ga-DOTATATE to the macrophage within the plaques was observed in aorta lesions by autoradiography and by micro-PET. In study with 68Ga-fucoidan, a strong expression of P-selectin on active endothelium overlying on inflamed plaque but weaker on inactive plaques was confirmed. Specific focal uptake of 68Ga-fucoidan were detected at aorta segments by micro-PET, and correlated with high-resolution magnetic resonance imaging (MRI), which was used to characterize the morphology of plaques. 68Ga-fucoidan also showed a greater affinity to active inflamed plaque in comparison of inactive fibrous plaque, which was assessed by autoradiography. Specificity of 68Ga-DOTATATE and 68Ga-fucoidan were confirmed by ex-vivo blocking autoradiography and in vivo blocking PET imaging respectively.
In human study, focal uptake of both 18F-FDG and 68Ga-DOTATATE was detected. Analyzing concordance of two tracers’ uptake ratio, Out of the 37 sites with highest focal 68Ga-DOTATATE uptake, 16 (43.2%) also had focal 18F-FDG uptake. Of 39 sites with highest 18F-FDG uptake, only 11 (28.2%) had a colocalized 68Ga-DOTATATE accumulation. Correlated tracers’ uptake and calcium burden and risk factors, Mean target-to-background ratio (TBR) of 68Ga-DOTATATE correlated significantly with the presence of calcified plaques (r=0.52), hypertension (r=0.60), age (r=0.56) and uptake of 18F-FDG (r=0.64). TBRmean of 18F-FDG correlated significantly only with hypertension (r=0.58; p<0.05). Additionally, TBRmean of 68Ga-DOTATATE is significant higher in the high risk group while TBRmean of 18F-FDG is not.
In conclusion, we evaluated vascular inflammation of atherosclerosis non-invasively using the two PET tracers: 68Ga-DOTATATE and 68Ga-Fucoidan. 68Ga-DOTATATE show specific affinity to infiltrated macrophage within the plaques. 68Ga-Fucoidan may hold the potential to discriminate between active and inactive atherosclerotic plaques in terms of variant accumulation on different-types of plaques. PET as leading molecular imaging technique provides superiority in assessing cellular activity, which is pivotal for understanding internal activity of atherosclerotic plaques. Since diagnosis of atherosclerosis is a complex and multi-dimensional task. More integrated imaging technology such as PET/MRI, faster imaging algorithm, more efficient radiotracer are required for further development of atherosclerosis imaging,
Novel manganese(I) tricarbonyl complexes based on the tridentate bis(pyrazolyl)ethylamine (bpea) ligand with pendant functionalized phenyl groups were synthesized and conjugated to biological carrier systems like peptides and dendrimers. Their dark stability establishes them as CORM prodrugs. The monomers show a faster CO-release compared to the peptide and dendrimer conjugates. However, both monomers and peptide conjugates release two equivalents of CO upon photoactivation at 365 nm. The dendrimer conjugates can deliver up to seven equivalents of CO due to the higher number of Mn(CO)3 moieties per molecular unit. In the future, the biological activity of the conjugates needs to be further explored to establish the targeted delivery of CO to cells and tissues.
In many cases, problems, data, or information can be modeled as graphs. Graphs can be used as a tool for modeling in any case where connections between distinguishable objects occur. Any graph consists of a set of objects, called vertices, and a set of connections, called edges, such that any edge connects a pair of vertices. For example, a social network can be modeled by a graph by
transforming the users of the network into vertices and friendship relations between users into edges. Also physical networks like computer networks or transportation networks, for example, the metro network of a city, can be seen as graphs.
For making graphs and, thereby, the data that is modeled, well-understandable for users, we need a visualization. Graph drawing deals with algorithms for visualizing graphs. In this thesis, especially the use of crossings and curves is investigated for graph drawing problems under additional constraints. The constraints that occur in the problems investigated in this thesis especially restrict the positions of (a part of) the vertices; this is done either as a hard constraint or as an optimization criterion.
Marine sponges (phylum Porifera) are simple, sessile, filter-feeder animals. Microbial symbionts are commonly found in the sponge internal tissue, termed the mesohyl. With respect to the microbial content, sponges are classified as either low-microbial abundance sponges (LMA), or high-microbial abundance sponges (HMA). The HMA/LMA dichotomy was explored in this Thesis using the Red Sea sponges as experimental models. A range of methods encompassing transmission electron microscopy, 16S rRNA gene deep sequencing, and metatranscriptomics was employed towards this goal. Here, particular emphasis was placed on the functional analysis of sponge microbiomes.
The Red Sea sponges Stylissa carteri, Xestospongia testudinaria, Amphimedon ochracea, and Crella cyathophora were classified as HMA or LMA sponges using transmission electron microscopy. The diversity, specificity, and transcriptional activity of microbes associated with the sponges S. carteri (LMA) and X. testudinaria (HMA) and seawater were investigated using 16S rRNA amplicon pyrosequencing. The microbial composition of S. carteri was more similar to that of seawater than to that of X. testudinaria, which is consistent with the observation that the sequence data set of S. carteri contained many more possibly seawater sequences (~24%) than the X. testudinaria data set (~6%). The most abundant operational taxonomic units (OTUs) were shared between all three sources (S. carteri, X. testudinaria, seawater), while rare OTUs were unique to any given source. Despite this high degree of overlap, each sponge species contained its own specific microbiota. S. carteri microbiomes were enriched of Gammaproteobacteria and members of the genus Synechococcus and Nitrospira. Enriched members of X. testudinaria microbiomes included Chloroflexi, Deferribacteres, and Actinobacteria. The transcriptional activity of sponge-associated microorganisms was assessed by comparing 16S rRNA gene with transcript amplicons, which showed a good correlation.
The microbial functional gene repertoire of sponges and seawater from the Red Sea (X. testudinaria, S. carteri) and the Mediterranean (Aplysina aerophoba, Dysidea avara) were investigated with the environmental microarray GeoChip 4. Amplicon sequencing was performed alongside in order to assess microbial diversity. The typical microbial diversity patterns characteristic of HMA (abundance of Gammaproteobacteria, Chloroflexi, Acidobacteria, Deferribacteres, and others) and LMA sponges (abundance of Alpha-, Beta-, Gammaproteobacteria, Cyanobacteria, and Bacteroidetes) were confirmed. The HMA/LMA dichotomy was stronger than any possible geographic pattern based on microbial diversity (amplicon) and functional genes (GeoChip). However upon inspection of individual genes detected by GeoChip, very few specific differences were discernible, including differences related to microbial ammonia oxidation, ammonification (higher gene abundance in sponges over seawater) as well as denitrification (lower gene abundance). Furthermore, a higher abundance of a gene, pcc, representative of archaeal autotrophic carbon fixation was noted in sponges over seawater. Thirdly, stress-related genes, in particular those related to radiation, were found in lower abundances in sponge microbiomes than in seawater. With the exception of few documented specific differences, the functional gene repertoire between the different sources appeared largely similar.
The most actively expressed genes of S. carteri microbiomes were investigated with metatranscriptomics. Prokaryotic mRNA was enriched from sponge total RNA, sequenced using Illumina HiSeq technology, and annotated with the metagenomics Rapid Annotation using Subsystem Technology (MG-RAST) pipeline. High expression of archaeal ammonia oxidation and photosynthetic carbon fixation by members of the genus Synechococcus was detected. Functions related to stress response and membrane transporters were among the most highly expressed by S. carteri symbionts. Unexpectedly, gene functions related to methylotrophy were highly expressed by gammaproteobacterial symbionts. The presence of seawater-derived microbes is indicated by the phylogenetic proximity of organic carbon transporters to orthologs of members from the SAR11 clade. In summary, the most expressed functions of the S. carteri-associated microbial community were revealed and linked to the dominant taxonomic members of the microbiome.
In conclusion, HMA and LMA Red Sea sponges were used as models to gain insights into relevant themes in sponge microbiology, i.e. diversity, specificity, and functional activities. Overall, my Thesis contributes to a better understanding of sponge-associated microbial communities, and the implications of this association to marine ecology.
Conflict Management
(2014)
Humans have a remarkable ability to plan ahead, set goals for the future and then to act accordingly. Unfortunately, this is not always the case. Everybody has experienced situations in which motivational urges like a tendency to drink another beer, or over-learned behavioral routines like driving on the right side of the road collide with ones´ goals. This tug of war between impulsive or habitual action tendencies and goal-directed actions is called a conflict.
Conflict is ubiquitous and comes in many different ways. Not surprisingly, the means to control conflict are diverse, too. Clearly, people can manage conflict in multiple ways: When expecting a conflict situation to occur in the future, one can recruit more effort to resolve the conflict, for instance by inhibiting unwanted urges or habits. Alternatively one can avoid the conflict situation and thereby circumvent possible failures to control habits and impulses. Furthermore, when currently facing a conflict, people can mobilize more effort to overcome the conflict. Alternatively they can withdraw from the conflict situation to minimize the risk of indulging in their impulses and habits.
To account for these different ways to master a conflict, the present thesis takes an initial step towards a characterization of the variability of control. To this aim, two dimensions of control will be identified that result from partially incompatible constraints on action control. These dimensions depict a trade-off between flexibility and stability and between anticipatory early selection and reactive late correction of control parameters. To describe how these control trade-offs interact and to explain how conflict is handled to ensure adaptation behavior, the conflict management framework is proposed. A corollary of this framework suggests that one strategy to control conflict comprises of a tendency to withdraw from a conflict situation.
The empirical part probed this behavioral response to conflict and tested whether participants withdraw from conflict situations. To approach this hypothesis, three series of experiments are presented that employ free choice paradigms, speeded response classification tasks and continuous movement tracking tasks to reveal withdrawal from conflict. Results show that conflict caused motivational avoidance tendencies (Experiment 1 &2), biased decision making away from conflict tasks (Experiment 3 & 5) and affected the execution of more complex courses of action (Experiment 6 & 7).
The results lend support for the proposed conflict management framework and provide the ground for a more thorough treatment of how the different conflict strategies can be integrated. As a first step, a connectionist model is presented that accounts for the simultaneous implementation of two conflict strategies observed in Experiments 3 – 5. The remainder of the present thesis analyses failures to integrate different conflict strategies. It is discussed how the conflict management framework can shed light on selected psychopathologies, inter-individual differences in control and break-downs of self-control.
The aim of this work was to synthesize and functionalize different bio-relevant nanomaterials like silica-coated superparamagnetic iron oxide nanoparticles (SPIONs) as contrast agents for T2 magnetic resonance imaging (MRI) and detonation nanodiamond (DND) with the neurohormone peptide allatostatin 1 (ALST1) and a fluorescent dye. Analytical techniques for the determination and quantification of surface functional groups like amines, azides, and peptides were also developed and established.
Thus, in the first part of the work, a TGF-1 binding peptide and allatostatin 1 (ALST1), both supposed to act as active tumour targeting vectors, were synthesized by solid-phase peptide synthesis (SPPS) and characterized by high pressure liquid chromatography (HPLC) and mass spectrometry. Then, azide-functionalized silica nanoparticles were synthesized by the Stöber process and characterized by transmission electron microscopy (TEM) and infrared spectroscopy (IR). The surface loading of amine and azide groups was determined by a new protocol. The azide groups were reduced with sodium boronhydride to amine and then functionalized with Fmoc-Rink Amide linker according to a standard SPPS protocol. Upon cleavage of Fmoc by piperidine, the resulting dibenzofulvene and its piperidine adduct were quantified by UV/Vis spectroscopy and used to determine the amount of amine groups on the nanoparticle surface. Then, ALST1 and related tyrosine- and phenylalanine substituted model peptides were conjugated to the azide-functionalized silica nanoparticles by copper(I)-catalyzed azide-alkyne dipolar cycloaddition (CuAAC). The successful peptide conjugation was demonstrated by the Pauly reaction, which however is only sensitive to histidine- and tyrosine-containing peptides. As a more general alternative, the acid hydrolysis of the peptides to their individual amino acid building blocks followed by derivatization with phenyl isothiocyanate (PITC) allowed the separation, determination, and quantification of the constituent amino acids by HPLC.
In the second part of the work, amine- and azide-functionalized silica-coated superparamagnetic iron oxide nanoparticles (SPIONs) were synthesized by co-precipitation and subsequent silica-coated based on the Stöber process and characterized by TEM and IR. The amine surface loading was determined by the method already established for the pure silica systems. The azide surface loading could also be quantified by reduction with sodium boronhydride to amine groups and then conjugation to Fmoc-Rink amide linker. Upon cleavage of Fmoc with piperidine, the total amine surface loading was obtained. The amount of azide surface groups was then determined from the difference of the total amine surface loading and the amine surface loading. Thus, it was possible to quantify both amine and azide surface groups on a single nanoparticle system. Superparamagnetic iron oxide nanoparticles (SPIONs) are potent T2 contrast agents for magnetic resonance imaging (MRI). Due to their natural metabolism after injection into the blood stream, SPIONs mostly end up inside macrophages, liver, spleen or kidneys. To generate a potential target-specific SPION-based T2 contrast agent for MRI, the neurohormone peptide ALST1 was conjugated by CuAAC to the azide- and amine functionalized superparamagnetic iron oxide nanoparticles, since ALST1 is supposed to target difficult-to-treat neuroendocrinic tumours due to its analogy to galanin and somastatin receptor ligands. The organic fluorescent dye cyanine 5 (Cy5) was also conjugated to the silica-coated superparamagnetic iron oxide nanoparticles (SPIONs) via a NHS-ester to the amines to enable cell uptake studies by fluorescence microscopy. These constructs were characterized by TEM, dynamic light scattering (DLS), and IR. The amino acids of the conjugated ALST1 were determined by the HPLC method as described before for peptide-modified silica nanoparticle surfaces. Then, the relaxivity r2 was measured at 7 T. However, a r2 value of 27 L/mmolFe·s for the dual ALST1-/Cy5-functionalized silica-coated SPIONs was not comparable to T2 contrast agents in clinical use, since their relaxivity is commonly determined at 1.5 T, and no such instrument was available. However, it can be assumed that the synthesized dual
ALST1-/Cy5-functionalized silica-coated SPION would show a lower r2 at 1.5 T than at 7T. Commercial T2 MRI contrast agents like VSOP-C184 from Ferropharm show at r2 values of about 30 L/mmolFe·s at 1.5 T. Still, the relaxivity of the new material has some potential for application as a T2 contrast agent. Then, the material was used in cell uptake studies by fluorescence microscopy with the conjugated Cy5 dye as a probe. The dual
ALST1-/Cy5-functionalized silica-coated SPION showed a high degree of agglomeration with no cellular uptake unlike described for ALST1-functionalized nanoparticles in literature. It is assumed that upon agglomeration of the particles, constructs form which are unable to be internalized by the cellular endocytotic pathways anymore. As a future perspective, the tendency of the particle to agglomerate should be reduced by changing the coating material to polyethylene glycol (PEG) or chitosan, which are known to be bio-compatible, bio-degradable and prevent agglomeration.
In the third part of the work, the rhenium compound [ReBr(CO)3(L)] with L = 2-phenyl-1H-imidazo[4,5-f][1,10]phenanthroline and its manganese analogue were synthesized by heating the ligand and rhenium pentacarbonyl bromide or and manganese pentacarbonyl bromide respectively, in toluene. However, [MnBr(CO)3(L)] was unstable upon illumination by UV light at 365 nm. Thus, it was dismissed for further application. The photophysical properties of [ReBr(CO)3(L)] were explored, by determination of the excited-state life time by the time-correlated single-photon counting (TCSPC) method and the quantum yield by a fluorescence spectrometer equipped with an integration sphere. A value of = 455 ns, a Stokes shift of 197 nm and a rather low quantum yield =were found. Metal complexes are supposed to have superior properties compared to organic dyes due to their large Stokes shifts, long excited-state life times, and high quantum yields. Thus, amine- and azide-functionalized detonation nanodiamond (DND) as an alternative biological inert carrier system was functionalized with ALST1 to enhance its cell uptake properties. A luminescent probe for cell uptake studies using fluorescence microscopy was also attached, either based on the new rhenium complex or the commercially available organic dye Cy5, respectively. The aldehyde-functionalized rhenium complex was conjugated to the DND via oxime ligation, which is known to be a mild and catalyst-free conjugation method. The amount of peptide ALST1 on the DND was analyzed and quantified after acid hydrolysis and PITC derivatization by HPLC as described before. Then, the ALST1-/luminescent probe-functionalized DND was investigated for its photophysical properties by fluorescence spectroscopy. The Cy5-functionalized material showed a slightly lower fluorescence performance in aqueous solution than reported in literature and commercial suppliers with a life time < 0.4 ns and quantum yields not determinable by integration sphere due to the week signal intensity. The rhenium complex-functionalized material had a very low signal intensity in only aqueous medium, and thus determination of life times and quantum yield by fluorescence spectroscopy was not possible. After incubation with MDA-MB 231 cells, the Cy5-functionalized DND could easily be detected due to its red fluorescence. However, it was not possible to visualize the rhenium complex-functionalized DND with fluorescence microscopy due to the low fluorescence intensity of the complex in aqueous medium and the lack of proper filters for the fluorescence microscope. Cy5-functionalized DND did not show any cellular uptake in fluorescence microscopy after conjugation with ALST1. Since the nanodiamond surface is known to strongly adsorb peptides and proteins, it is assumed that the peptide chain is oriented perpendicular to the nanoparticle surface and thus not able to interact with cell membrane receptors to promote cell uptake of the particles. As a future perspective, the ALST1-promoted cellular uptake of the DND should be improved by using different linker systems for peptide conjugation to prevent adsorption of the peptide chain on the particle surface.
The new analytical methods for amino-, azide-, and peptide-functionalized nanoparticles have great potential to assist in the quantification of nanoparticle surface modifications by UV/Vis spectroscopy and HPLC. The determination of surface amine and azide groups based on the cleavage of conjugated Fmoc-Rink amide linker and detected by UV/Vis spectroscopy is applicable to all amine-/azide-functionalized nanomaterials. However, particles which form very stable suspension with the cleavage mixture can cause quantification problems due to scattering, making an accurate quantification of dibenzofulvene and its piperidine adduct impossible. The detection of tyrosine- and histidine-containing peptides based on the Pauly reaction is well-suited as a fast and easy-to-perform qualitative demonstration of successful peptide surface conjugation. However, its major drawback as a colourimetric approach is that coloured particles cannot be evaluated by this method. The amino acid analysis based on HPLC after acid hydrolysis of peptides conjugated to nanoparticle surfaces to its individual building blocks and subsequent derivatization with PITC, can be used on all nanomaterials with peptide or protein surface modification. It allows detection of amino acids down to picomolar concentrations and even enables analysis of very small peptide surface loadings. However, the resulting HPLC traces are difficult to analyze.
Three new analytical methods based on UV/Vis and HPLC techniques have been developed and established. They assisted in the characterization of the synthesized DND and SPIONs with dual functionalization by ALST1 and Cy5 or [ReBr(CO)3(L)], respectively. However, the nanomaterials showed no cellular uptake due to a high tendency to agglomerate. The cellular uptake should be improved and the tendency to agglomerate of the SPIONs should be reduced by changing the surface coating from silica to either PEG or chitosan. Furthermore, different linker systems for connecting peptides to DND surfaces should be synthesized and evaluated to reduce potential peptide chain adsorption.
Leptoquarks are hypothetical particles that attempt to explain the coincidental similarities between leptons and quarks included in SM. Their exact properties vary between different theoretical models, and there are no strong theoretical constraints on their possible mass values. They can possibly be produced from particle
collisions, and there have already been searching efforts at previous collider experiments. Their presence have yet been observed, and this fact has been translated into lower bound exclusions on their possible mass values. The Large Hadron Collider (LHC) being the most recently constructed particle collider with the highest collision energies ever achieved experimentally, provides a new platform to continue the search for Leptoquarks at even higher mass ranges.
This thesis describes a search for pair-produced second-generation Leptoquarks using 20.3 fb−1 of data recorded by the ATLAS detector of LHC at √s = 8 TeV. Events with two oppositely charged muons and two or more jets in the final state were used. Candidate leptoquark events were selected with the help of four observables: the di-muon invariant mass (Mμμ ), the sum of the pT of the two muons
(LT ), the sum of the pT of the two leading jets (HT ) and the average Leptoquark mass (MLQ ). Monte Carlo simulations of SM background processes have shown
to be in good agreement with data, both in the region constructed using selection requirements for candiate leptoquark events and in the designated control regions.
Since no significant excess of events was observed in data, a exclusion limit was set as a function of the Leptoquark mass.
Nature-based tourism and ecotourism experienced a dynamic development over the past decade. While originally often described as specialized post-Fordist niche markets for ecologically aware and affluent target groups, in many regions they are nowadays characterized by a heterogeneous structure and the presence of a wide product range, from individual travels to package tours.
The present dissertation analyzes the structure and economic importance of tourism in two highly frequented protected areas in middle income countries, the Sian Ka’an Biosphere Reserve (SKBR) in Mexico and the Souss-Massa National Park (SMNP) in Morocco. Both areas are situated in close proximity to the most important package tour destinations Cancún (Mexico) and Agadir (Morocco) and are subject to high touristic use and development pressure. So far, the planning of a more sustainable tourism development is hampered by the lack of reliable data.
Based on demand-side surveys and income multipliers calculated with the help of regionalized input-output models, the visitor structure and economic impact of tourism in both protected areas are described. With regional income effects of approximately 1 million USD (SKBR) and approximately 1.9 million USD (SMNP), and resulting income equivalents of 1,348 and 5,218 persons, both the SKBR and the SMNP play an important—and often undervalued—role for the regional economies in underdeveloped rural peripheral regions of the countries.
Detailed analyses of the visitor structures show marked differences with regard to criteria such as travel organization, nature/protected area affinity and expenditures. With regard to planning and marketing of nature-based tourism, protected area managers and political decision-takers are advised to focus on ecologically and economically attractive visitor groups. Based on the results of the two case studies as well as existing tourism typologies from the literature, a classification scheme is presented that may be used for a more target-oriented development and marketing of nature-based tourism products.
In contrast to c-Myc, a deregulated expression of the MYCN gene is restricted to human neuroendocrine tumours. In most cases, the excessive activity of N-Myc results from a MYCN amplification. In neuroblastoma, amplification of MYCN is a predictor of poor prognosis and resistance to therapy. The inability to target the N-Myc protein directly necessitates the search for alternative targets. This project aimed at identifying genes specifically required for growth and survival of cells that express high levels of N-Myc using high-throughput shRNA screening combined with next generation sequencing. The identification and analysis of these genes will shed light on functional interaction partners of N-Myc.
We screened a shRNA library containing 18,327 shRNAs and identified 148 shRNAs, which were selectively depleted in the presence of active N-Myc. In addition, shRNAs targeting genes that are involved in p53 and ARF turnover and apoptosis were depleted in the cell population during the screen. These processes are known to affect N-Myc-mediated apoptosis. Consequently, these results biologically validated the screen. The 148 shRNAs that showed a significant synthetic lethal interaction with high levels of N-Myc expression were further analysed using the bioinformatics program DAVID. We found an enrichment of shRNAs that target genes involved in specific biological processes. For example, we validated synthetic lethal interactions for genes such as, THOC1, NUP153 and LARP7, which play an important role in the process of RNA polymerase II-mediated transcription elongation. We also validated genes that are involved in the neddylation pathway.
In the screen we identified Cullin 3, which is a component of the BTB-CUL3-Rbx1 ubiquitin ligase that is involved in the turnover of Cyclin E. Depletion of cullin 3 and activation of N-Myc was found to synergistically increase Cyclin E expression to supraphysiological levels, inducing S-phase arrest and a strong DNA damage response.
Together with results from a proteomics analysis of N-Myc associated proteins, our results lead us to the following hypothesis: In a neuroblastoma cell, the high levels of N-Myc result in a conflict between RNA polymerase II and the replication machinery during S-phase. The newly identified interaction partners of N- Myc are required to solve this conflict. Consequently, loss of the interaction leads to a massive DNA damage and the induction of apoptosis. In addition, inhibition or depletion of the essential components of the neddylation pathway also results in an unresolvable problem during S-phase.
Malaria is a challenging infection with increasing and wide-spread treatment failure risk due to resistance. With a estimated death toll of 1-3 Million per year, most cases of Malaria affect children under the age of five years in Sub-Saharan Africa. In this thesis, I analyse the current status of malaria control (focussing on diagnosis and therapy) in Burkina Faso to show how this disease burdens public health in endemic countries and to identify possible approaches to improvement. MB is discussed as a therapeutic option under these circumstances.
Burkina Faso is used as a representative example for a country in Sub-Saharan Africa with high endemicity for malaria and is here portrayed, its health system characterised and discussed under socioeconomic aspects.
More than half of this country’s population live in absolute poverty. The burden that malaria, especially treatment cost, poses on these people cannot be under-estimated.
A retrospective study of case files from the university pediatric hospital in Burkina Faso’s capital, Ouagadougou, shows that the case load is huge, and especially the specific diagnosis of severe malaria is difficult to apply in the hospital’s daily routine. Treatment policy as proposed by WHO is not satisfactorily implemented neither in home treatment nor in health services, as data for pretreatment clearly show.
In the face of growing resistance in malaria parasites, pharmacological combination therapies are important. Artemisinins currently are the last resort of malaria therapy. As I show with homology models, even this golden bullet is not beyond resistance development. Inconsidered mass use has rendered other drugs virtually useless before. Artemisinins should thus be protected similar to reserve antibiotics against multi-resistant bacteria.
There is accumulating evidence that MB is an effective drug against malaria. Here the biological effects of both MB alone and in combination therapy is explored via modeling and experimental data. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, CQ resistance based on Pfmdr1 and PfCRT transporters as well as SP resistance were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs, given their correct application.
Also from the economic point of view MB shows great potential: in terms of production price, it can be compared to CQ, which could help to diminuish the costs of malaria treatment to affordable ranges for those most affected and struk by poverty.
Malaria control is feasible, but suboptimal diagnosis and treatment are often hindering the achievment of this goal. In order to achieve malaria control, more effort has to be made to implement better adjusted and available primary treatment strategies for uncomplicated malaria that are highly standardised. Unfortunately, campaigns against malaria are chronically underfinanced. In order to maximize the effect of available funds, a cheap treatment option is most important, especially as pharmaceuticals represent the biggest single matter of expense in the fight against malaria.
Fabrication and characterization of CPP-GMR and spin-transfer torque induced magnetic switching
(2014)
Even though the unique magnetic behavior for ferromagnets has been known for thousands of years, explaining this interesting phenomenon only occurred in the 20th century. It was in 1920, with the discovery of electron spin, that a clear explanation of how ferromagnets achieve their unique magnetic properties came to light. The electron carries an intrinsic electric charge and intrinsic angular momentum. Use of this property in a device was achieved in 1998 when Fert and Gru¨nberg independently found that the resistance of FM/NM/FM trilayer depended on the angle between the magnetization of the two layers. This phenomena which is called giant magnetoresistance (GMR) brought spin transfer into mainstream. This new discovery created a brand new research fi called “spintronics” or “spin based electronics” which exploits the intrinsic spin of electron.
As expected spintronics delivered a new generation of magnetic devices which are currently used in magnetic disk drives and magnetic random access memories (MRAM). The potential advantages of spintronics devices are non-volatility, higher speed, increased data density and low power consumption. GMR devices are already used in industry as magnetic memories and read heads.
The quality of GMR devices can be increased by developing new magnetic materials and also by going down to nanoscale. The desired characteristic properties of these new materials are higher spin polarization, higher curie temperature and better spin filtering. Half-metals are a good candidate for these devices since they are expected to have high polarization. Some examples of half-metals are Half-Heusler alloy, full Heusler alloy and Perovskite or double Perovskite oxides. The devices discussed in this thesis have NiMnSb half-Heusler alloy and permalloy as the ferromagnetic layers separated by Cu as the nonmagnetic layer.
This dissertation includes mainly two parts, fabrication and characterization of nan- opillars. The layer stack used for the fabrication is Ru/Py/Cu/NiMnSb which is grown on an InP substrate with an (In,Ga)As buff by molecule beam epitaxy (MBE). A new method of fabrication using metal mask which has a higher yield of working samples over the previous method (using the resist mask) used in our group is discussed in detail. Also, the advantages of this new method and draw backs of the old method are explained thoroughly (in chapter 3).
The second part (chapters 4 and 5) is focused on electrical measurements and charac- terization of the nanopillar, specially with regard to GMR and spin-transfer torque (STT)
measurements. In chapter 4, the results of current perpendicular the plane giant mag- netoresistance (CPP-GMR) measurements at various temperatures and in-plane magnetic fi are presented. The dependence of CPP-GMR on bias current and shape anisotropy of the device are investigated. Results of these measurements show that the device has strong shape anisotropy.
The following chapter deals with spin-transfer torque induced magnetic switching measurements done on the device. Critical current densities are on the order of 106 A/cm2, which is one order of magnitude smaller than the current industry standards. Our results show that the two possible magnetic configurations of the nanopillar (parallel and anti-parallel) have a strong dependence on the applied in-plane magnetic fi Fi- nally, four magnetic fi regimes based on the stability of the magnetic configuration (P stable, AP stable, both P and AP stable, both P and AP unstable) are identified.
Routing is one of the most important issues in any communication network. It defines on which path packets are transmitted from the source of a connection to the destination. It allows to control the distribution of flows between different locations in the network and thereby is a means to influence the load distribution or to reach certain constraints imposed by particular applications. As failures in communication networks appear regularly and cannot be completely avoided, routing is required to be resilient against such outages, i.e., routing still has to be able to forward packets on backup paths even if primary paths are not working any more.
Throughout the years, various routing technologies have been introduced that are very different in their control structure, in their way of working, and in their ability to handle certain failure cases. Each of the different routing approaches opens up their own specific questions regarding configuration, optimization, and inclusion of resilience issues. This monograph investigates, with the example of three particular routing technologies, some concrete issues regarding the analysis and optimization of resilience. It thereby contributes to a better general, technology-independent understanding of these approaches and of their diverse potential for the use in future network architectures.
The first considered routing type, is decentralized intra-domain routing based on administrative IP link costs and the shortest path principle. Typical examples are common today's intra-domain routing protocols OSPF and IS-IS. This type of routing includes automatic restoration abilities in case of failures what makes it in general very robust even in the case of severe network outages including several failed components. Furthermore, special IP-Fast Reroute mechanisms allow for a faster reaction on outages. For routing based on link costs, traffic engineering, e.g. the optimization of the maximum relative link load in the network, can be done indirectly by changing the administrative link costs to adequate values.
The second considered routing type, MPLS-based routing, is based on the a priori configuration of primary and backup paths, so-called Label Switched Paths. The routing layout of MPLS paths offers more freedom compared to IP-based routing as it is not restricted by any shortest path constraints but any paths can be setup. However, this in general involves a higher configuration effort.
Finally, in the third considered routing type, typically centralized routing using a Software Defined Networking (SDN) architecture, simple switches only forward packets according to routing decisions made by centralized controller units. SDN-based routing layouts offer the same freedom as for explicit paths configured using MPLS. In case of a failure, new rules can be setup by the controllers to continue the routing in the reduced topology. However, new resilience issues arise caused by the centralized architecture. If controllers are not reachable anymore, the forwarding rules in the single nodes cannot be adapted anymore. This might render a rerouting in case of connection problems in severe failure scenarios infeasible.