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The successful synthesis of a family of donor-iridium complex-acceptor triads (T1–T6, pMV1 and mMV1) and their electrochemical and photophysical properties were presented in this work. Triarylamines (TAA) were used as donors and naphthalene diimide (NDI) as acceptor. A bis-cyclometalated phenylpyrazole iridium dipyrrin complex acts as a photosensitiser. In addition, a molecular structure of T1 was obtained by single crystal X-ray diffraction.
Transient absorption spectroscopy experiments of these triads resembled that upon excitation a photoinduced electron transfer efficiently generates long-lived, charge-separated (CS) states. Thereby, the electron-transfer mechanism depends on the excitation energy.
The presence of singlet and triplet CS states was clarified by magnetic-field dependent transient-absorption spectroscopy in the nanosecond time regime. It was demonstrated that the magnetic field effect of charge-recombination kinetics showed for the first time a transition from the coherent to the incoherent spin-flip regime.
The lifetime of the CS states could be drastically prolonged by varying the spacer between the iridium complex and the NDI unit by using a biphenyl instead of a phenylene unit in T4.
A mixed-valence (MV) state of two TAA donors linked to an iridium metal centre were generated upon photoexcitation of triad pMV1 and mMV1. The mixed-valence character in these triads was proven by the analysis of an intervalence charge-transfer (IV-CT) band in the (near-infrared) NIR spectral region by femtosecond pump-probe experiments. These findings were supported by TD-DFT calculations.
The synthesis of dyads (D1–D4) was performed. Thereby the dipyrrin ligand was substituted with electron withdrawing groups. The electrochemical and photophysical characterisation revealed that in one case (D4) it was possible to generate a CS state upon photoexcitation.
In this thesis, thin-film solar cells on the basis of Cu(In,Ga)(S,Se)2 (CIGSSe) were investigated.
Until today, most high efficient CIGSSe-based solar cells use a toxic and wetchemical deposited CdS buffer layer, which doesn’t allow a dry inline production. However, a promising and well-performing alternative buffer layer, namely indium sulfide, has been found which doesn’t comprise these disadvantages. In order to shed light on these well-performing devices, the surfaces and in particular the interfaces which play a major role for the charge carrier transport are investigated in the framework of this thesis. Both, the chemical and electronic properties of the solar cells’ interfaces were characterized.
In case of the physical vapor deposition of an InxSy-based buffer layer, the cleaning step of the CdS chemical-bath deposition is not present and thus changes of the absorber surface have to be taken into account. Therefore, adsorbate formation, oxidation, and segregation of absorber elements in dependence of the storing temperature and the humidity are investigated in the first part of this thesis.
The efficiencies of CIGSSe-based solar cells with an InxSy buffer layer depend on the nominal indium concentration x and display a maximum for x = 42 %. In this thesis, InxSy samples with a nominal indium concentration of 40.2% ≤ x ≤ 43.2% were investigated by surface-sensitive and surface-near bulk-sensitive techniques, namely with photoemission spectroscopy (PES) and x-ray emission spectroscopy (XES). The surfaces of the films were found to be sulfur-poor and indium-rich in comparison with stoichiometric In2S3. Moreover, a direct determination of the band alignment at the InxSy/CISSe interface in dependence of the nominal indium concentration x was conducted with the help of PES and inverse PES (IPES) and a flat band alignment was found for x = 42 %.
In order to study the impact of a heat treatment as it occurs during subsequent cell process steps, the indium sulfide-buffered absorbers were annealed for 30 minutes under UHV conditions at 200 °C after the initial data set was taken. Besides a reported enhanced solar cell performance, a significant copper diffusion from the absorber into the buffer layer takes place due to the thermal treatment. Accordingly, the impact of the copper diffusion on the hidden InxSy/CISSe interface was discussed and for x = 40.2% a significant cliff (downwards step in the conduction band) is observed. For increasing x, the alignment in the conduction band turns into a small upwards step (spike) for the region 41% ≤ x ≤ 43.2%. This explains the optimal solar cell performance for this indium contents.
In a further step, the sodium-doped indium sulfide buffer which leads to significantly higher efficient solar cells was investigated. It was demonstrated by PES/IPES that the enhanced performance can be ascribed to a significant larger surface band gap in comparison with undoped InxSy. The occurring spike in the Na:InxSy/CISSe band alignment gets reduced due to a Se diffusion induced by the thermal treatment. Furthermore, after the thermal treatment the sodium doped indium sulfide layer experiences a copper diffusion which is reduced by more than a factor of two compared to pure InxSy.
Next, the interface between the Na:InxSy buffer layer and the i-ZnO (i = intrinsic, non-deliberately doped), as a part of the transparent front contact was analyzed. The i-ZnO/Na:InxSy interface shows significant interdiffusion, leading to the formation of, e.g., ZnS and hence to a reduction of the nominal cliff in the conduction band alignment.
In the last part of this thesis, the well-established surface-sensitive reflective electron energy loss spectroscopy (REELS) was utilized to study the CIGSSe absorber, the InxSy buffer, and annealed InxSy buffer surfaces. By fitting the characteristic inelastic scattering cross sections λK(E) with Drude-Lindhard oscillators the dielectric function was identified. The determined dielectric functions are in good agreement with values from bulk-sensitive optical measurements on indium sulfide layers. In contrast, for the chalcopyrite-based absorber significant differences appear. In particular, a substantial larger surface band gap of the CIGSSe surface of E^Ex_Gap = (1.4±0.2) eV in comparison with bulk values is determined. This provides for the first time an independent verification of earlier PES/IPES results. Finally, the electrons’ inelastic mean free paths l for the three investigated surfaces are compared for different primary energies with theoretical values and the universal curve.
Electrochemical double layer capacitors (EDLC), most commonly referred to as “supercapacitors”,
have gained increasing scientific and commercial interest in recent years. Purely electrostatic charge storage processes allow charge- and discharge cycles in the second-time scale, exhibiting a theoretical capacitance in the order of 100 F per gram of electrode material, thereby providing efficient recuperation devices for electromechanical processes, for example. Introducing electrochemically active materials such as manganese oxides into the supercapacitor electrode, allows to combine the double-layer storage with a battery-like storage process, leading to capacitance that can be up to two orders of magnitude larger than those in EDLC.
In the present work, an electroless deposition approach of manganese oxide on a carbon scaffold
is adapted and further investigated. The carbon material is derived from an organic xerogel, which in turn is prepared via a sol-gel process, allowing tailoring of the structural properties of the carbon, making it an ideal model system to study the relation between morphology and electrochemical performance in the carbon-manganese oxide hybrid electrode.
In the first part of this thesis, a variation of manganese oxide deposition time at a low concentration of precursor solution is analyzed. Mass uptakes reach up to 58 wt.%, leading to an increase of volumetric capacitance by a factor 5, however reducing the dynamic performance of the electrode.
The structural characterization gives hints on the deposition location of the active material either in the intra-particular pores of the carbon backbone or on the enveloping surface area of the particles forming the backbone.
In order to comprehensively answer the question of the location of the active material within
the hybrid electrode, the particle size of the carbon backbone and therefore the enveloping surface area of the carbon particles was varied. For samples with high mass uptakes, scanning electron microscopy (SEM) images show a layer thickness of 27 nm of active material around the carbon particles. In order to quantitatively investigate this layer morphology, even for low mass uptakes where no layer is visible in SEM images, a model interpreting data from anomalous small angle X-ray scattering (ASAXS) measurements was developed. The results confirm the presence of a layer around the carbon particles, exhibiting a layer thickness ranging from 3 to 26 nm.
From an electrochemical point of view, carbon backbones with a large enveloping surface area
will lead to high mass uptakes in the electroless deposition process and therefore lead to high
capacitance of the electrode. However, for future application, electrodeposition approaches should be investigated in detail, since no deposits will form on the interface between carbon backbone and current collector, leading to a better dynamic performance of the hybrid electrode. Furthermore, the ASAXS-method should be promoted and applied on other material systems, since this technique allows to draw important conclusions and allows to deduce integral and quantitative information towards a rational design of high performance electrodes.
Summary (English)
I. Human induced global change threatens biodiversity and trophic interactions. Fragmentation is considered as one of the major threats to biodiversity and can cause reduced species richness, population declines, loss of genetic diversity and disruption of trophic interactions such as predation and parasitism. However forest fragmentation effects can be eclectic due to species specific traits. Specialist species with narrower niches or at higher trophic levels may be in danger of extinction whereas generalist species with less specific habitat requirements may even profit from fragmentation. In the tropics, known as “the” terrestrial biodiversity hotspots, even biodiversity inventories are often lacking, especially in forest canopies. Ongoing deforestation and resulting fragmentation in tropical regions are expected to heavily affect ecosystem functions by changes in biodiversity, community compositions and disruption of trophic interactions. It is even less unknown in what extent different global change drivers for example climate change and fragmentation interact. It is unlikely that deforestation will end, so that small secondary forest fragments will be important habitat elements that must be investigated to optimize their potential contribution to biodiversity conservation.
This dissertation aimed to disentangle the effects of forest fragmentation on trap-nesting bee and wasp communities in small secondary forest fragments addressing the following main questions:
1) Are there interactive effects between microclimate and fragmentation on the abundance of bees and wasps, their mortality - and parasitism rates (Chapter II)?
2) How does fragmentation affect bee biodiversity from canopy to the understory with considerations of single species patterns (Chapter III)?
3) How is fragmentation affecting diversity and community composition of different trophic levels between understory and canopy with emphasis on the host-antagonist relation? (Chapter IV).
II. A variety of global change drivers affect biodiversity and trophic interactions. The combined effects of habitat fragmentation and climate change are poorly understood and with ongoing deforestation and agricultural intensification secondary rainforest fragments might contribute to biodiversity conservation and mitigation of climate warming. This chapter investigated the interactive effects of habitat fragmentation and microclimate on the abundance and biotic interactions of trap-nesting bees and wasps in secondary forest fragments in the Northeastern lowlands of Costa Rica.
Habitat area did not affect hymenopteran abundance, parasitism and mortality rates, but tree location- from the forest border to the forest center- influenced all variables. Interactive effects were found such as in the higher mortality rates at interior locations in larger fragments. Mean temperature at edge and interior locations led to significant effects on all tested variables and interactive effects between temperature and tree locations were found. Abundances at interior locations were significantly higher with increasing temperatures. Mortality rates at interior location increased at lower mean temperatures, whereas higher temperatures at edges marginally increased mortality rates. Our results indicate, that edge effects, mediated by altered microclimatic conditions, significantly change biotic interactions of trap-nesting hymenopterans in small secondary fragments.
III. This chapter focusses on the vertical distribution of bees, their parasitism and mortality rates as well as single species patterns in relation to fragment size and edge effects in secondary rainforest remnants.
No size effects on bee abundance, bee diversity and on parasitism- and mortality rates were found. Bees were least abundant at the intermediate height and were most abundant in the understory; whereas the highest diversity was found in the canopy. Tree location had no effect on bee abundance, but on bee diversity since most species were found in the forest interior. The cuckoo bees Aglaomelissa duckei and Coelioxys sp. 1 only partly followed the patterns of their hosts, two Centris species.
Edge effects greatly influenced the bee community, so that the amount of edge habitat in secondary forest fragments will influence the conservation value for bees.
IV. In this section the effects of habitat fragmentation on biodiversity, on community structure of hosts and natural enemies as well as the relation of hosts and antagonists were investigated from the understory to the canopy. The results stress the importance to monitor biodiversity, community composition and trophic interactions from the understory to the canopy. The higher trophic level of the antagonists was found to be more sensitive to fragment size compared to their hosts. Again edge effects were found to be the dominant driver since both host and antagonist richness, as well as community compositions were strongly affected. Ongoing fragmentation and increased amount of edge habitat could favor few abundant disturbance-adapted species over the rare and more diverse forest-adapted species. A positive-density dependent parasitism rate was demonstrated, as well as an increase of the parasitism rate not only with antagonist abundance but also diversity.
Small secondary forest fragments surely can contribute to the conservation of biodiversity and trophic interactions, but increase of edge habitat will have negative consequences on above-ground nesting Hymenoptera, so that important interactions such as pollination, predation and parasitism could be disrupted. Therefore small forest fragments could contribute to biodiversity conservation but will not be able to compensate for the loss of large areas of primary forests.
V. This dissertation contributes to the understanding of habitat area - and edge effects as well as the interaction of those with microclimatic conditions in small secondary rainforest fragments. As study system trap nests inhabited by solitary above-ground nesting bees, wasps and their natural enemies were chosen because they allow to study trophic interactions along their whole vertical distribution from the understory to the canopy. The effect of fragment size was rather weak, however, larger sizes affected the diversity of natural enemies positively, proofing the hypothesis that higher trophic levels react more sensitive to habitat loss. Edge effects heavily affected the abundance, diversity and community composition of hosts and their natural enemies as well as parasitism and mortality rates. Increased edge conditions resulting from ongoing fragmentation and deforestation will therefore negatively affect bees, wasps and their trophic interactions with natural enemies. Those changes affect important processes such as pollination, predation and parasitism, which could result in changes of ecosystem functioning. This study showed the importance to include all strata in biodiversity monitoring since height did matter for the trap-nesting communities. Diversity was shown to be higher in the canopy and community composition did change significantly. To conclude we could show that secondary forest fragments can sustain a trap-nesting bee and wasp community, but the amount of interior habitat is highly important for the conservation of forest-adapted species. Probably the conservation of large primary forest in combination with a high habitat connectivity, for example with small secondary forest fragments, will help to sustain biodiversity and ecosystem functioning better than the mere presence of small forest fragments.
1) Modern European agricultural landscapes form a patchy mosaic of highly fragmented natural and semi-natural habitat remnants embedded in a matrix of intensively managed agricultural land. In those landscapes many organism frequently cross habitat borders including the crop – non-crop boundary, hereby connecting the biotic interactions of multiple habitat types. Therefore biodiversity and ecosystem functions within habitats are expected to depend on adjacent habitat types and the surrounding landscape matrix. In this thesis the biodiversity of non-crop habitats, and ecosystem services and disservices in crop habitats were studied in the human-dominated agricultural landscape in the district Lower Franconia, Bavaria, Germany. First we examined the effect of adjacent habitat type on species composition, diversity and ecosystem functions in semi-natural calcareous grasslands, a biodiversity-rich habitat of high conservation value (chapter 2 and 3). Second we studied the effect of habitat composition in the landscape on herbivory, biological pest control and yield in oilseed rape fields (chapter 4).
2) We examined the effect of adjacent habitat type on the diversity of carabid beetles in 20 calcareous grasslands using pitfall traps. Half of the grasslands were adjacent to a coniferous forest and half to a cereal crop field. We found different species compositions of carabid beetles depending on adjacent habitat type. In addition calcareous grasslands adjacent to crop fields harboured a higher species richness and activity density but a lower evenness of carabid beetles than calcareous grasslands adjacent to forests. These differences can be explained by the spillover of carabid beetles from the adjacent habitats. After crop harvest carabid beetle activity density in crop fields decreased while in parallel the activity density in the calcareous grasslands adjacent to the crop fields increased, indicating an unidirectional carabid beetle spillover. Our results underline that type and management of adjacent habitats affect community composition and diversity in calcareous grasslands. Therefore nature conservation measures, which focused on the improvement of local habitat quality so far, additionally need to consider adjacent habitat type.
3) In addition to carabid beetle communities we also surveyed predation rates of ground-dwelling predators on the same calcareous grasslands in two study periods (June and late August). As ground-dwelling predators of forests or crop fields can move into adjacent calcareous grasslands we expected different predation rates depending on adjacent habitat type. We exposed in total 32.000 lady bird eggs as prey items on the calcareous grasslands in distances of 5 and 20m from the habitat border. We found higher predation rates on calcareous grasslands adjacent to forests than on calcareous grasslands adjacent to crop fields, but only on cool days. On warm days a very high extent (often 100%) of the exposed prey items were consumed adjacent to both habitat types, which did not allow the detection of possible differences between the adjacent habitat types. Predation rates differed not between the two study periods or the two distances to the habitat edge. The higher predation rates adjacent to forests can be explained by the spillover of ground-dwelling predators from forests into calcareous grasslands. Our results show, that spillover into semi-natural habitats affects ecosystem functioning in addition to species composition and diversity.
4) In chapter 4 of this thesis we examined the effect of spatiotemporal changes in crop cover on pest - natural enemy interactions and crop yields. During two study years we surveyed the abundance of adult and larval pollen beetles, parasitism of pollen beetle larvae by a hymenopteran parasitoid and oilseed rape yields of 36 oilseed rape fields. The surrounding landscape of the fields (1 km radius) differed in the oilseed rape proportion and in the inter-annual change in the oilseed rape proportion since the previous year. We found a dilution effect, i.e. a decreasing abundance with increasing oilseed rape proportions, for pollen beetle larvae and parasitoids in both study years and for adult pollen beetles in one study year. Oilseed rape yields increased with increasing oilseed rape proportions. Inter-annual changes in oilseed rape proportions led to inter-annual crowding and dilution effects for pollen beetles, but had no effect on parasitism or yield. Our results indicate the potential to reduce pest loads and increase yields in intensively managed oilseed rape fields by a coordinated management of the spatiotemporal oilseed rape cover in the landscape.
5) In summary, we showed in this thesis that the biodiversity and functioning of crop and non-crop habitats within agricultural landscapes is affected by the spillover of organisms and thus by the habitat composition in the close surrounding and in the broader landscape context. Spillover affects also ecosystem services and disservices and therefore crop productivity. Thereby the spatial and temporal variation of specific crop types in the landscape can be of particular importance for crop yields. Thus a coordinated landscape wide management can help to optimize both biodiversity conservation and the delivery of ecosystem services and thus crop yields. Future studies integrating landscape effects across several ecosystem functions, multiple taxonomic groups and different crop types are necessary to develop definite landscape management schemes.
Effect of cytokine inhibition on peripheral memory B cells in patients with Rheumatoid arthtritis
(2015)
Objective: Rheumatoid arthritis (RA) is a chronic, systemic, inflammatory autoimmune disease. Enhanced B cell activity has been proposed in the pathogenesis of RA along with different pro-inflammatory cytokines such as interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF-α), critically involved in chronic inflammation. Biological agents targeting these cytokines IL-6 and TNF-α have considerably advanced treatment of autoimmunity. Enhanced B cell activity, particularly memory B cells gained particularly interest in evaluating response during therapies from biologics. Human peripheral memory B cells can be distinguished by the phenotypic expression of CD27 and IgD defining three major B cell subpopulations: CD27+IgD+ pre-switch, CD27+IgD- post-switch and CD27-IgD- double negative (DN) memory B cells. Therefore, we analyzed different memory populations during cytokine inhibition by using tocilizumab (anti-IL-6R, TCZ) and adalimumab (anti-TNF-α, ADA), with focus on DN B cells Suspended. DN B cells lacking the conventional memory marker CD27, but due to their mutational Ig repertoire (IgR) considered in the memory compartment. However, only scare data are available for this DN subpopulation in RA.
Methods: Phenotype analysis of activation markers (CD95 and ki-67) of B cell and their subsets were compared in RA patients (median age ~56 years) and in HD. DN memory B cells were phenotypically analyzed from RA patients during IL-6R or TNF-α inhibition at baseline week 12, week 24 and 1 year. Single B cell PCR approach was used to study Ig- receptors VH genes and isotype specific genes. Nonparametric Wilcoxon matched pair test and Mann-Whitney U test was used for statistical analysis by using GraphPadPrism 5. Univariate logistic regression was used to calculate odd ratios and correlation using Pearson r using SPSS statistics 22.
Results: Surface and intracellular staining of B cells showed a significantly higher percentage of CD95 and ki-67 expressions in RA, which was highest in post-switch memory B cells followed by pre-switch and DN memory B cells. During cytokines (IL-6R & TNF-α) inhibition, both CD95 and ki-67 expression were significantly reduced at week 12 and 24 along with reduction in their clinical parameters like DAS28, CRP, ESR. Furthermore, the phenotypic analysis in 107 RA patients and 49 healthy donors (HD) showed a significantly expanded population of DN B cells in RA which contain a heterogeneous mixture of IgA, IgG and IgM expressing cells with a clear dominance of IgG+ cells. Pre-therapy analysis of rearranged IgR sequences from patients (n=9) revealed that DN B cells carry rearranged heavy chain gene sequences with a diversified mutational pattern consistent with memory B cells. In contrast to tumor necrosis factor alpha (TNF-alpha) inhibition, a significant reduction in mutational frequency of BCR gene rearrangements at week 12, 24 and 1 year (p < 0.0001) was observed by in vivo IL-6R inhibition. These changes were observed for all BCR isotypes IgG, IgA and IgM at week 12, 24 and 1 year (p < 0.0001). IgA-RF, IgA serum level and IgA+ DN B cells decreased significantly (p < 0.05) at week 12 and week 24 during TCZ. Patients with a good European league against rheumatism (EULAR) response to TCZ had less DN B cells at baseline as compared to moderate responders (p = 0.006). Univariate logistic regression analysis revealed that the frequency of DN B cells at baseline is inversely correlated to a subsequent good EULAR response (p = 0.024) with an odds ratio of 1.48 (95% confidence interval as 1.05-2.06).
Conclusion: Both anti-TNF-α and anti-IL-6R could reduce higher B cell activity and improve disease activity tremendously in RA patients. The heterogeneous DN B cell compartment is expanded in RA and dominated by IgG isotype. TCZ can modulate the mutational status of DN Ig isotype receptors over 1 year. Interestingly, the frequency of DN B cells in RA may serve as a baseline predictor of subsequent EULAR response to TCZ.
In this work, Emilio de’ Cavalieri’s musical sources will serve as a platform in an attempt to overcome the lack of explicit original guidance and guidelines of performance practice of early basso continuo. It will offer a methodology that will allow the unraveling of implicit theory and practice hidden in the music sources themselves. The methodology of this work is based on the fact that Cavalieri’s Rappresentatione di Anima e di Corpo (Rome, 1600) is printed using a unique continuo notation, which is detailed, precise, and coherent—more so than any other contemporaneous printed source. Through thorough investigation of this continuo notation, it will be possible to enrich our practical as well as theoretical knowledge of the early basso continuo. A wide range of evidences will emerge, covering a wide spectrum, from general questions of instrumentation up to the very notes that should be played. Using a special notation for illustration, I will demonstrate how Cavalieri’s basso continuo figuration, when combined with the known rules of counterpoint, is at times equivalent to written-out realizations.
As part of this study, different models of contrapuntal phenomena will be analyzed, mainly in the context of cadences but also in the context of other progressions that deserve to be recognized as formulas. Their theoretical structure will be uncovered as well as their actual application in music and their manner of execution. The prevalence of each phenomenon will be examined in order to distinguish common and recurrent phenomena from rarely-used formulas. In order to do this, and due to problematic historical terminology, it will be necessary to create a set of new terms inspired by Cavalieri’s notation. Those terms will not be solely relevant to Cavalieri’s music; the models were made flexible so that they may prove useful for future discussions or studies of early continuo in general.
Out of the known early basso continuo sources, a “mini-compendium” of practical implications will be extracted in order to exhaust the practical knowledge implicit in them. This endeavor will be concluded with a list of rules and general advice drawn from the sources, but it will also reveal some problematic aspects of these sources.
This endeavor will make it possible to compare the “new” implicit practical information deduced in this study with the explicit known continuo sources, and assess to what extant Cavalieri’s continuo practices illuminate and complement the known knowledge from previously-studied yet opaque sources of basso continuo.
The focus of this dissertation is on Cavalieri’s music, but the findings proposed here will be traced so as to illuminate the broader realm of the early Baroque and the 17th century musical style at large. Finally, this new research about Cavalieri’s music and continuo, along reevaluating of its place among the common continuo sources, calls for redistribution of source materials on the traditional “shelf” of early basso continuo sources.
The general map-labeling problem is as follows: given a set of geometric objects to be labeled, or features, in the plane, and for each feature a set of label positions, maximize the number of placed labels such that there is at most one label per feature and no two labels overlap. There are three types of features in a map: point, line, and area features. Unfortunately, one cannot expect to find efficient algorithms that solve the labeling problem optimally.
Interactive maps are digital maps that only show a small part of the entire map whereas the user can manipulate the shown part, the view, by continuously panning, zooming, rotating, and tilting (that is, changing the perspective between a top and a bird view). An example for the application of interactive maps is in navigational devices. Interactive maps are challenging in that the labeling must be updated whenever labels leave the view and, while zooming, the label size must be constant on the screen (which either makes space for further labels or makes labels overlap when zooming in or out, respectively). These updates must be computed in real time, that is, the computation must be so fast that the user does not notice that we spend time on the computation. Additionally, labels must not jump or flicker, that is, labels must not suddenly change their positions or, while zooming out, a vanished label must not appear again.
In this thesis, we present efficient algorithms that dynamically label point and line features in interactive maps. We try to label as many features as possible while we prohibit labels that overlap, jump, and flicker. We have implemented all our approaches and tested them on real-world data. We conclude that our algorithms are indeed real-time capable.
The increasing importance of environmental friendly and efficient transportation guides the interest of researchers and car manufacturers towards the development of technologies that support an efficient driving style.
This thesis presents the development of a traffic light assistance system with the focus on human factors. The system aims on supporting drivers in approaching traffic light intersections efficiently. In three driving simulator studies, the content related research covered the investigation of the unassisted driving task, the influence of the system on the driver’s perception of the interaction with other road users and the information strategy of the human machine interface. When the traffic light phase changes or when visibility is limited, drivers prepare driving behaviour that is not appropriate for the traffic light phase at arrival at the intersection. These situations offer the greatest potential for the assistance system. The traffic light assistant is able to change driving behaviour. However, the expectation of other road user’s emotional reactions influences driver compliance. In situations in which drivers expected to bother others with their driving behaviour, compliance to the traffic light assistant was low. Further, the deviations of driver behaviour from the target strategy of the traffic light assistant are lowest when the HMI includes the two information units target speed and action recommendations. Traffic light phase information in the HMI is a subjectively important information for drivers. The results point towards the presentation of all three information units.
The method related research covered the development of a method for measuring drivers’ information demand for dynamic stimuli. While driving, specific stimuli are action relevant for drivers, i.e. they need to be processed in order to decide on the appropriate driving behaviour. Eye tracking has been the standard method for measuring information demand while driving. The novel MARS (Masking Action Relevant Stimuli) method measures information demand by masking the dynamic action relevant stimulus in the driving environment or in the vehicle. To unmask the stimulus for a fixed interval, drivers press a button at the steering wheel. In the present thesis, two driving simulator studies evaluated the MARS method. They included measuring information demand for the traffic light phasing and the in-vehicle display of the traffic light assistant. The analyses demonstrate that variations in the experimental conditions influence the information demand measured with the MARS method qualitatively similar to the influences on fixations measured by eye tracking. Due to its simple application, the MARS method represents a promising tool for transportation research.
Topological insulators are electronic phases that insulate in the bulk and accommodate a peculiar, metallic edge liquid with a spin-dependent dispersion.
They are regarded to be of considerable future use in spintronics and for quantum computation.
Besides determining the intrinsic properties of this rather novel electronic phase, considering its combination with well-known physical systems can generate genuinely new physics.
In this thesis, we report on such combinations including topological insulators. Specifically, we analyze an attached Rashba impurity, a Kondo dot in the two channel setup, magnetic impurities on the surface of a strong three-dimensional topological insulator, the proximity coupling of the latter system to a superconductor, and hybrid systems consisting of a topological insulator and a semimetal.
Let us summarize our primary results.
Firstly, we determine an analytical formula for the Kondo cloud and describe its possible detection in current correlations far away from the Kondo region.
We thereby rely on and extend the method of refermionizable points.
Furthermore, we find a class of gapless topological superconductors and semimetals, which accommodate edge states that behave similarly to the ones of globally gapped topological phases. Unexpectedly, we also find edge states that change their chirality when affected by sufficiently strong disorder.
We regard the presented research helpful in future classifications and applications of systems containing topological insulators, of which we propose some examples.
Dietary polyphenols have been related to beneficial effects on humans’ health. Pycnogenol®, a dietary polyphenol-rich food supplement complies with the monograph “Maritime pine extract” in the United States Pharmacopeia (USP) and has demonstrated effects in different diseases. Several human trials concerning knee osteoarthritis have shown significant improvement of the symptoms like reducing the pain and the stiffness of the joint(s) upon intake of Pycnogenol®. After oral intake of multiple doses of Pycnogenol® previously low concentrations in the nanomolar range of monomeric extract constituents have been found in human plasma as well as a bioactive metabolite, δ-(3,4-dihydroxy-phenyl)-γ-valerolactone (M1), which is formed by the human intestinal flora from the procyanidins’ catechin units. It is not clear yet which compound(s) of the complex extract is (are) mainly responsible for the described clinical effects of Pycnogenol®. To gain deeper insights into the in vivo fate of the pine bark extract the distribution of its constitutents and metabolites was closer investigated in the present thesis.
Initial in vitro experiments suggested a facilitated cellular uptake of M1 into human erythrocytes, possibly via GLUT-1 transporter. For elucidating further the in vitro and in vivo metabolism of M1 in human blood cells, a metabolomic approach was performed using UPLC-ESI-qTOF-MSE analysis, which revealed a comprehensive and rapid metabolism of M1 to a variety of biotransformation products in human blood cells. Predominant metabolites were found to be conjugates of glutathione (GSH) isomers, namely M1-S-GSH and M1-N-GSH. Further sulfur-containing biotransformation products of M1 were conjugates with oxidized glutathione (M1-GSSG) and cysteine (M1-CYS) and the sulfated derivative of M1 (M1-sulfated). Other in vitro biotransformation products constituted the open-chained ester form of M1 (M1-COOH), hydroxybenzoic acid and the methylated (M1-methylated), acetylated (M1-acetylated), hydroxylated (M1-hydroxylated) and ethylated (M1-ethylated) derivatives of M1. Indeed, six of these in vitro metabolites, respectively M1-COOH, M1-sulfated, hydroxybenzoic acid, M1-S-GSH, M1-methylated and M1-acetylated, were also identified in vivo in blood cells of human volunteers after ingestion of Pycnogenol®. Related reference material was synthesized for reliable confirmation of the metabolites M1-GSH, M1-GSSG, M1-CYS and M1-COOH.
In the course of a randomized controlled clinical trial patients suffering from severe osteoarthritis ingested multiple doses of 200 mg/day Pycnogenol® for three weeks before they were scheduled for an elective knee replacement surgery. Various biological specimen, respectively blood cells, synovial fluid and serum samples, were to be analyzed to investigate the distribution and disposition of possibly bioactive constituents and metabolites. Therefore, highly sensitive methods were developed using liquid chromatography tandem mass spectrometry (LC-MS/MS)- technology because of the expected low concentrations of the analytes in the related matrices.
Initially, for each matrix different sample preparation techniques (protein precipitation, liquid-liquid extraction, solid phase extraction and useful combinations thereof) were compared to achieve maximum detection sensitivity of the analytes that were of highest interest, namely M1, ferulic acid and taxifolin. By comparing 32 various sample clean-up procedures in human serum, the highest recovery of the metabolite M1 was achieved using a liquid-liquid extraction with ethyl acetate and tert-butyl methyl ether at a serum pH-value of 3.2. A similar extraction method was also chosen for analyte detection in human synovial fluid after comparing 31 different sample preparation techniques. Whole blood or blood cells are difficult to handle because of their high viscosity and strong coloration. The QuEChERS (quick, easy, cheap, effective, rugged and safe) approach which was originally developed for the food safety and thus for the determination of pesticide residues in fruits and vegetables yielded the highest total recovery rate of M1 in human blood cells when assessing 18 different sample clean-up techniques. By applying the QuEChERS method for the first time for the simultaneous and highly sensitive quantification of selected polyphenols in human blood cells it was demonstrated that this fast and inexpensive technique can be applied in clinical fields for cleaning-up highly complex and thus challenging biological matrices. All developed methods for the different biological specimen were optimized to achieve maximum sensitivity of the target analytes. The determined lower limits of quantification (LLOQs) were sufficient for the quantification of the study samples. The LLOQs ranged from 113 pg/mL for taxifolin to 48 ng/mL for caffeic acid in blood cells and from 80 pg/mL for taxifolin to 3 ng/mL for caffeic acid in synovial fluid. In human serum the LLOQs even ranged down to 35 pg/mL for taxifolin and up to 8 ng/mL for caffeic acid. All analytical methods were subjected to a full validation according to current EMA and FDA guidelines and fulfilled those criteria, showing excellent performance and reliability of the developed and optimized methods.
Serum, blood cells and synovial fluid samples of the osteoarthritis patients were all processed with an enzymatic incubation with ß-glucuronidase/sulfatase to hydrolyse conjugates (phase-II-metabolism) prior the actual sample preparation. Additionally, serum samples of the osteoarthritis patients were prepared without enzymatic hydrolysis to determine the individual degree of conjugation with sulfate and glucuronic acid of the analytes.
All determined concentrations in the patients’ samples were in the lower ng/mL range. Notably, highest total concentrations of the polyphenols were not detected in serum, in which the degree of analyte conjugation with sulfate and glucuronic acid ranged from 54.29 ± 26.77% for catechin to 98.34 ± 4.40% for M1. The flavonoids catechin and taxifolin mainly partitioned into blood cells, whereas the metabolite M1, ferulic and caffeic acid primarily resided in the synovial fluid. The concentration of M1 in the blood cells was low, however, this could be explained by the previously observed extensive and rapid intracellular metabolism in vitro. This was now supported by the in vivo evidence in samples of patients who received Pycnogenol® in which the open-chained ester form of M1 (M1-COOH) as well as the glutathione conjugate of M1 (M1-GSH) were identified, indicating that M1 does not accumulate in its original form in vivo. Possibly, a variety of bioactive metabolites exist which might play an important role for the clinical effects of Pycnogenol®.
Although the study participants were requested to avoid polyphenol-rich food and beverages within the last two days before the blood samplings this was obviously difficult for most of the patients. Hence, no statistically significantly difference was observed in the mean polyphenol concentrations in serum, blood cells and synovial fluid between the intervention and the control group. Nevertheless, it was possible to identify marker compounds for Pycnogenol® intake under real life conditions with occasional or regular consumption of polyphenol-rich foods and beverages. Thereby, ferulic acid was found in serum samples exclusively after intake of Pycnogenol®, confirming that ferulic acid is a suitable marker of consumption of French maritime pine bark extract. Taxifolin was present in serum and synovial fluid exclusively in the intervention group indicating a role as further marker of Pycnogenol® intake. Taxifolin, ferulic acid and caffeic acid were detected in both serum and synovial fluid only in the intervention group. Moreover, the metabolite M1, taxifolin and ferulic acid were only detected simultaneously in all matrices (serum, blood cells and synovial fluid) after ingestion of Pycnogenol®.
Thus, deeper insights into the distribution of bioactive constituents and metabolites of Pycnogenol® into serum, blood cells and synovial fluid after oral administration to patients with severe osteoarthritis were gained. The present study provides the first evidence that polyphenols indeed distribute into the synovial fluid of patients with osteoarthritis where they might contribute to clinical effects.
In the thesis discrete moments of the Riemann zeta-function and allied Dirichlet series are studied.
In the first part the asymptotic value-distribution of zeta-functions is studied where the samples are taken from a Cauchy random walk on a vertical line inside the critical strip. Building on techniques by Lifshits and Weber analogous results for the Hurwitz zeta-function are derived. Using Atkinson’s dissection this is even generalized to Dirichlet L-functions associated with a primitive character. Both results indicate that the expectation value equals one which shows that the values of these
zeta-function are small on average.
The second part deals with the logarithmic derivative of the Riemann zeta-function on vertical lines and here the samples are with respect to an explicit ergodic transformation. Extending work of Steuding, discrete moments are evaluated and an equivalent formulation for the Riemann Hypothesis in terms of ergodic theory is obtained.
In the third and last part of the thesis, the phenomenon of universality with respect
to stochastic processes is studied. It is shown that certain random shifts of the zeta-function can approximate non-vanishing analytic target functions as good as we please. This result relies on Voronin's universality theorem.
Development Of Three-Dimensional Liver Models For Drug Development And Therapeutical Applications
(2015)
Primary human liver cells such as hepatocytes when isolated and cultured in 2D monolayers, de-differentiate and lose their phenotypic characteristics. In order to maintain the typical polygonal shape of the hepatocytes and their polarization with respect to the neighbouring cells and extra cellular matrix (ECM), it is essential to culture the cells in a three-dimensional (3D) environment. There are numerous culturing techniques available to retain the 3D organization including culturing hepatocytes between two layers of collagen and/or MatrigelTM (Moghe et al. 1997) or in 3D scaffolds (Burkard et al. 2012).
In this thesis, three different 3D hepatic models were investigated.
1. To reflect the in vivo situation, the hepatocytes were cultured in 3D synthetic scaffolds called Mimetix®. These were generated using an electrospinning technique using biodegradable polymers. The scaffolds were modified to increase the pore size to achieve an optimal cell function and penetration into the scaffolds, which is needed for good cell-cell contact and to retain long-term phenotypic functions. Different fibre diameters, and scaffold thicknesses were analyzed using upcyte® hepatocytes. The performance of upcyte® hepatocytes in 3D scaffolds was determined by measuring metabolic functions such as cytochrome P450 3A4 (CYP3A4) and MTS metabolism.
2. Apart from maintaining the hepatocytes in 3D orientation, co-culturing the hepatocytes with other non-parenchymal cell types, such as liver sinusoidal endothelial cells (LSECs) and mesenchymal stem cells (MSCs), better reflects the complexity of the liver. Three different upcyte® cell types namely, hepatocytes, LSECs and MSCs, were used to generated 3D liver organoids. The liver organoids were generated and cultured in static and dynamic conditions. Dynamic conditions using Quasi-vivo® chambers were used to reflect the in vivo blood flow. After culturing the cells for 10 days, the structural orientation of cells within the organoids was analyzed. Functional integrity was investigated by measuring CYP3A4 activities. The organoids were further characterized using in situ hybridization for the expression of functional genes, albumin and enzymes regulating glutamine and glucose levels.
3. An ex vivo bioreactor employing a decellularized organic scaffold called a “Biological Vascularized Scaffold” (BioVaSc) was established. Jejunum of the small intestine from pigs was chemically decellularized by retaining the vascular system. The vascular tree of the
BioVaSc was repopulated with upcyte® microvascular endothelial cells (mvECs). The lumen of the BioVaSc was then used to culture the liver organoids generated using upcyte® hepatocytes, LSECs and MSCs. The structural organisation of the cells within the organoids was visualized using cell-specific immunohistochemical stainings. The performance of liver organoids in the BioVaSc was determined according to metabolic functions (CYP3A4 activities).
This thesis also addresses how in vitro models can be optimized and then applied to drug development and therapy.
A comprehensive evaluation was conducted to investigate the application of second-generation upcyte® hepatocytes from 4 donors for inhibition and induction assays, using a selection of reference inhibitors and inducers, under optimized culture conditions. CYP1A2, CYP2B6, CYP2C9 and CYP3A4 were reproducibly inhibited in a concentration-dependent manner and the calculated IC50 values for each compound correctly classified them as potent inhibitors. Upcyte® hepatocytes were responsive to prototypical CYP1A2, CYP2B6, CYP2C9 and CYP3A4 inducers, confirming that they have functional AhR, CAR and PXR mediated CYP regulation. A panel of 11 inducers classified as potent, moderate or non-inducers of CYP3A4 and CYP2B6 were tested. Three different predictive models for CYP3A4 induction, namely the Relative Induction Score (RIS), AUCu/F2 and Cmax,u/Ind50 were analyzed. In addition, PXR (rifampicin) and CAR-selective (carbamazepine and phenytoin) inducers of CYP3A4 and CYP2B6 induction, respectively, were also demonstrated.
Haemophilia A occurs due to lack of functional Factor VIII (FVIII) protein in the blood. Different types of cells from hepatic and extrahepatic origin produce FVIII. Supernatants harvested from primary LSECs were evaluated for the presence of secreted functional FVIII. In order to increase the FVIII production, different upcyte® endothelial cells such as blood outgrowth endothelial cells (BOECs), LSECs and mvECs were transduced with lentiviral particles carrying a FVIII transgene. Also, to reflect a more native situation, primary mvECs were selected and modified by transducing them with FVIII lentivirus and investigated as a potential method for generating this coagulation factor.
Adenosine receptors that belong to the rhodopsin-like G protein-coupled receptors (GPCRs) are involved in a lot of regulatory processes and are widely distributed throughout the body which makes them an attractive target for drugs. However, pharmacological knowledge of these receptors is still limited. A big advance regarding the structural knowledge of adenosine receptors was the development of the first crystal structure of the adenosine A2A receptor in 2008. The crystal structure revealed the amino acids that form the ligand binding pocket of the receptor and depicted the endpoint of receptor movement in the ligand binding process. Within the scope of this work two members of the adenosine receptor family were investigated, namely the adenosine A1 and the A2A receptor (A1R, A2AR). A1R was generated on base of the previously developed A2AR. Receptors were tagged with fluorophores, with the cyan fluorescent protein (CFP) at the C-terminal end of receptor and the Fluorescein Arsenical Hairpin binder (FlAsH) binding sequence within the third intracellular loop of receptors. Resulting fluorescent receptor sensors
A1 Fl3 CFP and A2A Fl3 CFP were investigated with help of Fluorescence Resonance Energy Transfer (FRET) measurements within living cells. FRET experiments enable the examination of alteration in the distance of two fluorophores and thus the observation of receptor dynamical movements.
For comparison of A1R and A2AR regarding receptor dynamical movement upon ligand binding, fluorescent receptor sensors A1 Fl3 CFP and A2A Fl3 CFP were superfused with various ligands and the outcomes of FRET experiments were compared regarding signal height of FRET ratio evoked by the distinct ligand that is correlated to the conformational change of receptor upon ligand binding. Beside the different direction of FRET ratio upon ligand binding at A1R and A2AR sensor, there were differences observable when signal height and association and dissociation kinetics of the various ligands investigated were compared to each other. Differences between the adenosine receptor subtypes were especially remarkable for the A1R subtype selective agonist CPA and the A2AR subtype selective agonist CGS 21680. Another part of the project was to investigate the influence of single amino acids in the ligand binding process within the fluorescent A1R sensor. Amino acid positions were derived from the crystal structure of the A2AR forming the ligand binding pocket and these amino acids were mutated in the A1R structure. Investigation of the A1R sensor and its mutants regarding confocal analysis showed involvement
of some amino acids in receptor localization. When these amino acids were mutated receptors were not expressed in the plasma membrane of cells. Some amino acids investigated were found to be involved in the ligand binding process in general whereas other amino acids were found to have an influence on the binding of distinct structural groups of the ligands investigated. In a further step, A1R and A2AR were N-terminally tagged with SNAP or CLIP which allowed to label receptor sensors with multiple fluorophores. With this technique receptor distribution in cells could be investigated with help of confocal analysis. Furthermore, ligand binding with fluorescent adenosine receptor ligands and their competition with help of a non-fluorescent antagonist was examined at the SNAP tagged A1R and A2AR. Finally the previously developed receptor sensors were combined to the triple labeled receptor sensors SNAP A1 Fl3 CFP and SNAP A2A Fl3 CFP which were functional regarding FRET experiments and plasma membrane expression was confirmed via confocal analysis. In the future, with the help of this technique, interaction between fluorescent ligand and SNAP tagged receptor can be monitored simultaneously with the receptor movement that is indicated by the distance alteration between FlAsH and CFP. This can
lead to a better understanding of receptor function and its dynamical movement upon ligand binding which may contribute to the development of new and more specific drugs for the A1R and A2AR in the future.
Part 1 of this work describes the development of accurate physically grounded force fields for
intermolecular Cation-π interactions based on SAPT energy decomposition analysis.
The presented results demonstrate the benefits of the used DFT-SAPT method to describe non-bonding
interactions. First of all, this method is able to reproduce the high level CCSD(T) energy values
but using much less computational time. Second it provides the possibility to separate the total
intermolecular interaction energy into several physically meaningful contributions. The relative
contributions of the dimers investigated can be seen in Fig. 6.16. In Tab. 6.3 the percentage
contribution of the attractive energy parts to the stabilization energy is shown. The polarization
energy is important for the NH+...C6H6 interaction, whereas it becomes less crucial
considering other dimers. The dispersion energy contribution is large in the case of
the C6H6...H2O dimers, whereas it is relatively less important for the NH+...C6H6
interaction. The electrostatic energy contributes a large amount of stabilizing energy
in all considered dimer interactions. ...
Purpose – The purpose of this dissertation is to reveal the status quo of development of the grocery retailers’ internationalization process in China as well as to model future trends, opportunities and challenges within a very competitive market. Using several, geographically distant cities as case studies, this paper focuses on the development and outlook of different store formats, along with the development of competition in this respect by explicitly treating China not as a single market. The study thereby analyses historical and geographical diffusion in regard to store formats. The impacts of the main factors of change are discussed.
Design/methodology/approach – The dissertation reviews extensively the literature of grocery retail internationalization with special focus on China. In addition, it draws on primary research in the form of a wide range of expert interviews. As China´s ‘supermarket revolution’ is underway, an understanding of the local and foreign competition and the development of different store formats within different regions of China as well as their prospects, will be crucial to companies expanding into this area.
Findings – The study explains how grocery retailers have already entered the Chinese market with different store formats and how competition has and will further develop. In addition, the study reveals challenges and obstacles in regard to future market strategies, especially in regard to store formats and geographical regions.
Research limitations/implications – The study reveals the current landscape of the Chinese grocery retailing market and emphasizes important strategic pillars, modelling future implications and challenges for food retailers operating in China. Because China is a vast country this dissertation forms only a small part of the geographical evolution process in regard to store formats and competition.
Practical implications – Explores current understanding of the internationalization process in China by considering different format choices. Supplementary, the dissertation proposes an outlook of competition enlargement, prospects of format development and therewith strategic implications within different regions as well as a future research agenda.
Originality / value – Contributes to the understanding of the Chinese grocery retailing market. Furthermore, it is among the first to critically explore possible future developments in regard to store formats and competition within a geographical context in China
The aim of the present work is the development and implementation of new simulation
possibilities for the CAST program package. Development included, among other
things, the partial parallelization of the already existing force fields, extension of the
treatment of electrostatic interactions and implementation of molecular dynamics and
free energy algorithms.
The most time consuming part of force field calculations is the evaluation of the nonbonded
interactions. The calculation of these interactions has been parallelized and
it could be shown to yield a significant speed up for multi-core calculations compared
to the serial execution on only one CPU. For both, simple energy/gradient as well as
molecular dynamics simulations the computational time could be significantly reduced.
To further increase the performance of calculations employing a cutoff radius, a linkedcell
algorithm was implemented which is able to build up the non-bonded interaction
list up to 7 times faster than the original algorithm.
To provide access to dynamic properties based on the natural time evolution of a system,
a molecular dynamics code has been implemented. The MD implementation features
two integration schemes for the equations of motion which are able to generate stable
trajectories. The basic MD algorithm as described in Section 1.2 leads to the sampling
in the microcanonical (NVE) ensemble. The practical use of NVE simulations is limited
though because it does not correspond to any experimentally realistic situation.
More realistic simulation conditions are found in the isothermal (NVT) and isothermalisobaric
(NPT) ensembles. To generate those ensembles, temperature and pressure
control has been implemented. The temperature can be controlled in two ways: by direct
velocity scaling and by a Nose-Hoover thermostat which produces a real canonical
ensemble. The pressure coupling is realized by implementation of a Berendsen barostat.
The pressure coupling can be used for isotropic or anisotropic box dimensions with the
restriction that the angles of the box need to be 90. A crucial simulation parameter in
MD simulations is the length of the timestep. The timestep is usually in the rang of 1fs.
Increasing the timestep beyond 1fs can lead to unstable trajectories since the fastest
motion in the system, usually the H-X stretch vibration can not be sampled anymore.
A way to allow for bigger timesteps is the use of a constraint algorithm which constrains the H-X bonds to the equilibrium distance. For this the RATTLE algorithm has been
implemented in the CAST program. The velocity Verlet algorithm in combination with
the RATTLE algorithm has been shown to yield stable trajectories for an arbitrary
length of simulation time. In a first application the MD implementation is used in conjunction
with the MOPAC interface for the investigation of PBI sidechains and their
rigidity. The theoretical investigations show a nice agreement with experimentally obtained
results. Based on the MD techniques two algorithms for the determination of free
energy differences have been implemented. The umbrella sampling algorithm can be
used to determine the free energy change along a reaction coordinate based on distances
or dihedral angles. The implementation was tested on the stretching of a deca-L-alanine
and the rotation barrier of butane in vacuum. The results are in nearly perfect agreement
with literature values. For the FEP implementation calculations were performed
for a zero-sum transformation of ethane in explicit solvent, the charging of a sodium
ion in explicit solvent and the transformations of a tripeptide in explicit solvent. All
results are in agreement with benchmark calculations of the NAMD program as well
as literature values. The FEP formalism was then applied to determine the relative
binding free energies between two inhibitors in an inhibitor-protein complex.
Next to force fields, ab-initio methods can be used for simulations and global optimizations.
Since the performance of such methods is usually significantly poorer than force
field applications, the use for global optimizations is limited. Nevertheless significant
progress has been made by porting these codes to GPUs. In order to make use of these
developments a MPI interface has been implemented into CAST for communication
with the DFT code TeraChem. The CAST/TeraChem combination has been tested
on the $H_2 O_{10}$ cluster as well as the polypeptide met-Enkephalin. The pure ab-initio
calculations showed a superior behavior compared to the standard procedure where the
force field results are usually refined using quantum chemical methods.
Background
GDF-15 is a divergent member of the TGF-superfamily, which was first described as macrophage inhibitory cytokine-1 (MIC-1), revealing an immune modulatory function. GDF-15 is a soluble protein which is, under physiological conditions, highly expressed in the placenta and found in elevated levels in blood sera of pregnant women. Apart from the placenta, GDF-15 is expressed in healthy tissue, albeit to a lower extent and overexpressed in many solid tumors. A variety of different functions are attributed to GDF-15 in healthy as well as diseased humans. On the one hand, GDF-15 is required for successful pregnancy and low GDF-15 serum levels during pregnancy correlate with fetal abortion. On the other hand, overexpression of GDF-15, which can be observed in several malignancies is correlated with a poor prognosis. Furthermore, tumor derived GDF-15 leads to cancer associated anorexia-cachexia syndrome in mice. The aim of my PhD thesis was to further investigate the role of GDF-15 as an immune modulatory factor in cancer, in particular, by inhibiting the target molecule in vitro and in vivo. Therefore, the main focus was placed on the generation and characterization of monoclonal GDF-15 specific blocking antibodies, which were tested in vitro and in vivo, which represents a substantial part of my work.
Results
Here, GDF-15 was shown to be highly expressed in human gynecological cancer and brain tumors. We could then demonstrate that GDF-15 modulates effector immune cells in vitro. GDF-15 mediated a slight downregulation of the activating NKG2D receptor on NK and CD8+ T cells, which is crucial for proper anti-tumoral immune responses. Furthermore, we could demonstrate that GDF-15 reduces the adhesion of CD4+ and CD8+ T cells on endothelial cells in vitro. A negatively affected trans-endothelial migration of leukocytes into inflamed tissue could explain the low T cell infiltration in GDF-15 expressing tumors, which were observed in vivo, where mice bearing (shRNA mediated) GDF-15 deficient glioma cells revealed enhanced immune cell infiltrates in the tumor microenvironment, compared with the GDF-15 expressing control group. Those animals further exhibited a decreased tumor growth and prolonged survival. GDF-15 is a soluble protein, secreted by more than 50 % of solid tumors and associated with grade of malignancy. Therefore a neutralizing monoclonal antibody to GDF-15 was assumed to be an auspicious therapeutically anti-cancer tool. Such an antibody was thus generated in GDF-15 knock out mice against human GFD-15. Amongst many clones, the GDF-15 antibody clone B1-23 was found to be applicable in Western Blot as well as in ELISA techniques, detecting a three-dimensional epitope of the mature GDF-15 dimer with high affinity and specificity. To enable the humanization for a later administration in humans, the variable regions of antibody B1-23 were identified by a special PCR method using degenerate primers and cloned into a sequencing vector. The sequence obtained thereby enabled the generation of chimeric and humanized B1-23 variants. After further comprehensive characterization, the original mouse antibody B1-23 as well as the chimeric antibody (ChimB1-23) and the humanized B1-23 antibody (H1L5) were applied in a melanoma xenograft study in vivo. None of the antibodies could significantly inhibit tumor growth. .However of utmost importance, body weight loss mediated by tumor derived GDF-15 could be significantly prevented upon administration of all three GDF-15 specific antibodies, which confirmed the antagonizing functionality of the immunoglobulin.
Conclusion
GDF-15 is a promising cancer target, involved in tumor progression and cancer related cachexia. A monoclonal GDF-15 antibody was generated, which served on one hand as a tool for molecular biological applications (Western Blot, ELISA, etc.) and on the other hand was applied as an antagonizing antibody in vitro and in vivo. Even though tumor growth inhibition by GDF-15 depletion in T cell deficient athymic mice failed using B1-23, the same antibody and derivates thereof (chimeric and humanized) impressively prevented tumor associated cachexia in UACC-257 melanoma bearing nude mice. The missing anti-tumor effect in our own melanoma model in nude mice can only partially be explained by the missing secondary immunity, in particular cytotoxic T cells, in the athymic animals, since in a similar melanoma model, performed by an external company, a tumor reduction in immunocompromised animals was observed, when B1-23 was administered. These findings support the idea that T cells are substantial for an effective tumor immunity and are in line with the results of the syngeneic, T cell comprising, mouse glioma model, where silencing of tumor expressed GDF-15 led to an enhanced intratumoral T cell infiltration and a prolonged survival.
Taken together our data allow for the conclusion that tumor associated cachexia can be combatted with the GDF-15 antibody B1-23. Further, B1-23 might elicit direct anti-tumor effects in immune competent models, which contain T cells, rather than in an athymic, T cell deficient nude mouse model.
Extreme value theory aims at modeling extreme but rare events from a probabilistic point of view. It is well-known that so-called generalized Pareto distributions, which are briefly reviewed in Chapter 1, are the only reasonable probability distributions suited for modeling observations above a high threshold, such as waves exceeding the height of a certain dike, earthquakes having at least a certain intensity, and, after applying a simple transformation, share prices falling below some low threshold. However, there are cases for which a generalized Pareto model might fail. Therefore, Chapter 2 derives certain neighborhoods of a generalized Pareto distribution and provides several statistical tests for these neighborhoods, where the cases of observing finite dimensional data and of observing continuous functions on [0,1] are considered. By using a notation based on so-called D-norms it is shown that these tests consistently link both frameworks, the finite dimensional and the functional one. Since the derivation of the asymptotic distributions of the test statistics requires certain technical restrictions, Chapter 3 analyzes these assumptions in more detail. It provides in particular some examples of distributions that satisfy the null hypothesis and of those that do not. Since continuous copula processes are crucial tools for the functional versions of the proposed tests, it is also discussed whether those copula processes actually exist for a given set of data. Moreover, some practical advice is given how to choose the free parameters incorporated in the test statistics. Finally, a simulation study in Chapter 4 compares the in total three different test statistics with another test found in the literature that has a similar null hypothesis. This thesis ends with a short summary of the results and an outlook to further open questions.
This thesis deals with quantum Monte Carlo simulations of correlated low dimensional electron systems. The correlation that we have in mind is always given by the Hubbard type electron electron interaction in various settings. To facilitate this task, we develop the necessary methods in the first part. We develop the continuous time interaction expansion quantum algorithm in a manner suitable for the treatment of effective and non-equilibrium problems. In the second part of this thesis we consider various applications of the algorithms. First we examine a correlated one-dimensional chain of electrons that is subject to some form of quench dynamics where we suddenly switch off the Hubbard interaction. We find the light-cone-like Lieb-Robinson bounds and forms of restricted equilibration subject to the conserved quantities. Then we consider a Hubbard chain subject to Rashba spin-orbit coupling in thermal equilibrium. This system could very well be realized on a surface with the help of metallic adatoms. We find that we can analytically connect the given model to a model without spin-orbit coupling. This link enabled us to interpret various results for the standard Hubbard model, such as the single-particle spectra, now in the context of the Hubbard model with Rashba spin-orbit interaction. And finally we have considered a magnetic impurity in a host consisting of a topological insulator. We find that the impurity still exhibits the same features as known from the single impurity Anderson model. Additionally we study the effects of the impurity in the bath and we find that in the parameter regime where the Kondo singlet is formed the edge state of the topological insulator is rerouted around the impurity.
Context-specific Consistencies in Information Extraction: Rule-based and Probabilistic Approaches
(2015)
Large amounts of communication, documentation as well as knowledge and information are stored in textual documents. Most often, these texts like webpages, books, tweets or reports are only available in an unstructured representation since they are created and interpreted by humans. In order to take advantage of this huge amount of concealed information and to include it in analytic processes, it needs to be transformed into a structured representation. Information extraction considers exactly this task. It tries to identify well-defined entities and relations in unstructured data and especially in textual documents.
Interesting entities are often consistently structured within a certain context, especially in semi-structured texts. However, their actual composition varies and is possibly inconsistent among different contexts. Information extraction models stay behind their potential and return inferior results if they do not consider these consistencies during processing. This work presents a selection of practical and novel approaches for exploiting these context-specific consistencies in information extraction tasks. The approaches direct their attention not only to one technique, but are based on handcrafted rules as well as probabilistic models.
A new rule-based system called UIMA Ruta has been developed in order to provide optimal conditions for rule engineers. This system consists of a compact rule language with a high expressiveness and strong development support. Both elements facilitate rapid development of information extraction applications and improve the general engineering experience, which reduces the necessary efforts and costs when specifying rules.
The advantages and applicability of UIMA Ruta for exploiting context-specific consistencies are illustrated in three case studies. They utilize different engineering approaches for including the consistencies in the information extraction task. Either the recall is increased by finding additional entities with similar composition, or the precision is improved by filtering inconsistent entities. Furthermore, another case study highlights how transformation-based approaches are able to correct preliminary entities using the knowledge about the occurring consistencies.
The approaches of this work based on machine learning rely on Conditional Random Fields, popular probabilistic graphical models for sequence labeling. They take advantage of a consistency model, which is automatically induced during processing the document. The approach based on stacked graphical models utilizes the learnt descriptions as feature functions that have a static meaning for the model, but change their actual function for each document. The other two models extend the graph structure with additional factors dependent on the learnt model of consistency. They include feature functions for consistent and inconsistent entities as well as for additional positions that fulfill the consistencies.
The presented approaches are evaluated in three real-world domains: segmentation of scientific references, template extraction in curricula vitae, and identification and categorization of sections in clinical discharge letters. They are able to achieve remarkable results and provide an error reduction of up to 30% compared to usually applied techniques.
The goal of this thesis is to investigate conformal mappings onto circular arc polygon domains, i.e. domains that are bounded by polygons consisting of circular arcs instead of line segments.
Conformal mappings onto circular arc polygon domains contain parameters in addition to the classical parameters of the Schwarz-Christoffel transformation. To contribute to the parameter problem of conformal mappings from the unit disk onto circular arc polygon domains, we investigate two special cases of these mappings. In the first case we can describe the additional parameters if the bounding circular arc polygon is a polygon with straight sides. In the second case we provide an approximation for the additional parameters if the circular arc polygon domain satisfies some symmetry conditions. These results allow us to draw conclusions on the connection between these additional parameters and the classical parameters of the mapping.
For conformal mappings onto multiply connected circular arc polygon domains, we provide an alternative construction of the mapping formula without using the Schottky-Klein prime function. In the process of constructing our main result, mappings for domains of connectivity three or greater, we also provide a formula for conformal mappings onto doubly connected circular arc polygon domains. The comparison of these mapping formulas with already known mappings allows us to provide values for some of the parameters of the mappings onto doubly connected circular arc polygon domains if the image domain is a polygonal domain.
The different components of the mapping formula are constructed by using a slightly modified variant of the Poincaré theta series. This construction includes the design of a function to remove unwanted poles and of different versions of functions that are analytic on the domain of definition of the mapping functions and satisfy some special functional equations.
We also provide the necessary concepts to numerically evaluate the conformal mappings onto multiply connected circular arc polygon domains. As the evaluation of such a map requires the solution of a differential equation, we provide a possible configuration of curves inside the preimage domain to solve the equation along them in addition to a description of the procedure for computing either the formula for the doubly connected case or the case of connectivity three or greater. We also describe the procedures for solving the parameter problem for multiply connected circular arc polygon domains.
The purpose of confidence and prediction intervals is to provide an interval estimation for an unknown distribution parameter or the future value of a phenomenon. In many applications, prior knowledge about the distribution parameter is available, but rarely made use of, unless in a Bayesian framework. This thesis provides exact frequentist confidence intervals of minimal volume exploiting prior information. The scheme is applied to distribution parameters of the binomial and the Poisson distribution. The Bayesian approach to obtain intervals on a distribution parameter in form of credibility intervals is considered, with particular emphasis on the binomial distribution. An application of interval estimation is found in auditing, where two-sided intervals of Stringer type are meant to contain the mean of a zero-inflated population. In the context of time series analysis, covariates are supposed to improve the prediction of future values. Exponential smoothing with covariates as an extension of the popular forecasting method exponential smoothing is considered in this thesis. A double-seasonality version of it is applied to forecast hourly electricity load under the use of meteorological covariates. Different kinds of prediction intervals for exponential smoothing with covariates are formulated.
\textbf{Molecular Determinants of Drug-Target Residence Times of Bacterial Enoyl-ACP Reductases.} Whereas optimization processes of early drug discovery campaigns are often affinity-driven, the drug-target residence time $t_R$ should also be considered due to an often strong correlation with \textit{in vivo} efficacy of compounds. However, rational optimization of $t_R$ is not straightforward and generally hampered by the lack of structural information about the transition states of ligand association and dissociation. The enoyl-ACP reductase FabI of the fatty acid synthesis (FAS) type II is an important drug-target in antibiotic research. InhA is the FabI enzyme of \textit{Mycobacterium tuberculosis}, which is known to be inhibited by various compound classes. Slow-onset inhibition of InhA is assumed to be associated with the ordering of the most flexible protein region, the substrate binding loop (SBL). Diphenylethers are one class of InhA inhibitors that can promote such SBL ordering, resulting in long drug-target residence times. Although these inhibitors are energetically and kinetically well characterized, it is still unclear how the structural features of a ligand affect $t_R$.
Using classical molecular dynamics (MD) simulations, recurring conformational families of InhA protein-ligand complexes were detected and structural determinants of drug-target residence time of diphenyl\-ethers with different kinetic profiles were described. This information was used to deduce guidelines for efficacy improvement of InhA inhibitors, including 5'-substitution on the diphenylether B-ring. The validity of this suggestion was then analyzed by means of MD simulations.
Moreover, Steered MD (SMD) simulations were employed to analyze ligand dissociation of diphenylethers from the FabI enzyme of \textit{Staphylococcus aureus}. This approach resulted in a very accurate and quantitative linear regression model of the experimental $ln(t_R)$ of these inhibitors as a function of the calculated maximum free energy change of induced ligand extraction. This model can be used to predict the residence times of new potential inhibitors from crystal structures or valid docking poses.
Since correct structural characterization of the intermediate enzyme-inhibitor state (EI) and the final state (EI*) of two-step slow-onset inhibition is crucial for rational residence time optimization, the current view of the EI and EI* states of InhA was revisited by means of crystal structure analysis, MD and SMD simulations. Overall, the analyses affirmed that the EI* state is a conformation resembling the 2X23 crystal structure (with slow-onset inhibitor \textbf{PT70}), whereas a twist of residues Ile202 and Val203 with a further opened helix $\alpha 6$ corresponds to the EI state. Furthermore, MD simulations emphasized the influence of close contacts to symmetry mates in the SBL region on SBL stability, underlined by the observation that an MD simulation of \textbf{PT155} chain A with chain B' of a symmetry mate in close proximity of the SBL region showed significantly more stable loops, than a simulation of the tetrameric assembly. Closing Part I, SMD simulations were employed which allow the delimitation of slow-onset InhA inhibitors from rapid reversible ligands.
\textbf{Prediction of \textit{Mycobacterium tuberculosis} Cell Wall Permeability.} The cell wall of \textit{M. tuberculosis} hampers antimycobacterial drug design due to its unique composition, providing intrinsic antibiotic resistance against lipophilic and hydrophilic compounds. To assess the druggability space of this pathogen, a large-scale data mining endeavor was conducted, based on multivariate statistical analysis of differences in the physico-chemical composition of a normally distributed drug-like chemical space and a database of antimycobacterial--and thus very likely permeable--compounds. The approach resulted in the logistic regression model MycPermCheck, which is able to predict the permeability probability of small organic molecules based on their physico-chemical properties. Evaluation of MycPermCheck suggests a high predictive power. The model was implemented as a freely accessible online service and as a local stand-alone command-line version.
Methodologies and findings from both parts of this thesis were combined to conduct a virtual screening for antimycobacterial substances. MycPermCheck was employed to screen the chemical permeability space of \textit{M. tuberculosis} from the entire ZINC12 drug-like database. After subsequent filtering steps regarding ADMET properties, InhA was chosen as an exemplary target. Docking to InhA led to a principal hit compound, which was further optimized. The quality of the interaction of selected derivatives with InhA was subsequently evaluated using MD and SMD simulations in terms of protein and ligand stability, as well as maximum free energy change of induced ligand egress. The results of the presented computational experiments suggest that compounds with an indole-3-acethydrazide scaffold might constitute a novel class of InhA inhibitors, worthwhile of further investigation.
The aim of this thesis is to examine the competition patterns that exist between originators and generics by focusing on the articulations between regulation and incentives to innovate.
Once the characteristics of regulation in pharmaceutical markets is reviewed in the first chapter and an analysis of some current challenges related to cost-containment measures and innovation issues is performed, then in the second chapter, an empirical study is performed to investigate substitution patterns. Based on the EC´s merger decisions in the pharmaceutical sector from 1989 to 2011, this study stresses the key criteria to define the scope of the relevant product market based on substitution patterns and shows the trend towards a narrower market in time.
Chapters three and four aim to analyse in depth two widespread measures, the internal reference pricing system in off-patent markets, and risk-sharing schemes in patent-protected markets. By taking into account informational advantages of originators over generics, the third chapter shows the extent to which the implementation of a reference price for off-patent markets can contribute in promoting innovation.
Finally, in the fourth chapter, the modeling of risk-sharing schemes explains how such schemes can help in solving moral hazard and adverse selection issues by continuously giving pharmaceutical companies incentives to innovate and supplying medicinal products of a higher quality.
This work brings forward successful implementations of ultrafast chirality-sensitive spectroscopic techniques by probing circular dichroism (CD) or optical rotation dispersion (ORD). Furthermore, also first steps towards chiral quantum control, i.e., the selective variation of the chiral properties of molecules with the help of coherent light, are presented.
In the case of CD probing, a setup capable of mirroring an arbitrary polarization state of an ultrashort laser pulse was developed. Hence, by passing a left-circularly polarized laser pulse through this setup a right-circularly polarized laser pulse is generated. These two pulse enantiomers can be utilized as probe pulses in a pump--probe CD experiment. Besides CD spectroscopy, it can be utilized for anisotropy or ellipsometry spectroscopy also. Within this thesis, the approach is used to elucidate the photochemistry of hemoglobin, the oxygen transporting protein in mammalian blood. The oxygen loss can be triggered with laser pulses as well, and the results of the time-resolved CD experiment suggest a cascade-like relaxation, probably through different spin states, of the metallo-porphyrins in hemoglobin.
The ORD probing was realized via the combination of common-path optical heterodyne interferometric polarimetry and accumulative femtosecond spectroscopy. Within this setup, on the one hand the applicability of this approach for ultrafast studies was demonstrated explicitly. On the other hand, the discrimination between an achiral and a racemic solution without prior spatial separation was realized. This was achieved by inducing an enantiomeric excess via polarized femtosecond laser pulses and following its evolution with the developed polarimeter. Hence, chiral selectivity was already achieved with this method which can be turned into chiral control if the polarized laser pulses are optimized to steer an enhancement of the enantiomeric excess.
Furthermore, within this thesis, theoretical prerequisites for anisotropy-free pump--probe experiments with arbitrary polarized laser pulses were derived. Due to the small magnitude of optical chirality-sensitve signals, these results are important for any pump--probe chiral spectroscopy, like the CD probing presented in this thesis. Moreover, since for chiral quantum control the variation of the molecular structure is necessary, the knowledge about rearrangement reactions triggered by photons is necessary. Hence, within this thesis the ultrafast Wolff rearrangement of an α-diazocarbonyl was investigated via ultrafast photofragment ion spectroscopy in the gas phase. Though the compound is not chiral, the knowledge about the exact reaction mechanism is beneficial for future studies of chiral compounds.
Over the last decade, the field of topological insulators has become one of the most vivid areas in solid state physics. This novel class of materials is characterized by an insulating bulk gap, which, in two-dimensional, time-reversal symmetric systems, is closed by helical edge states. The latter make topological insulators promising candidates for applications in high fidelity spintronics and topological quantum computing. This thesis contributes to bringing these fascinating concepts to life by analyzing transport through heterostructures formed by two-dimensional topological insulators in contact with metals or superconductors. To this end, analytical and numerical calculations are employed. Especially, a generalized wave matching approach is used to describe the edge and bulk states in finite size tunneling junctions on the same footing.
The numerical study of non-superconducting systems focuses on two-terminal metal/topological
insulator/metal junctions. Unexpectedly, the conductance signals originating from the bulk and
the edge contributions are not additive. While for a long junction, the transport is determined
purely by edge states, for a short junction, the conductance signal is built from both bulk and
edge states in a ratio, which depends on the width of the sample. Further, short junctions show
a non-monotonic conductance as a function of the sample length, which distinguishes the topologically non-trivial regime from the trivial one. Surprisingly, the non-monotonic conductance of the topological insulator can be traced to the formation of an effectively propagating solution, which is robust against scalar disorder.
The analysis of the competition of edge and bulk contributions in nanostructures is extended to transport through topological insulator/superconductor/topological insulator tunneling junctions. If the dimensions of the superconductor are small enough, its evanescent bulk modes
can couple edge states at opposite sample borders, generating significant and tunable crossed
Andreev reflection. In experiments, the latter process is normally disguised by simultaneous
electron transmission. However, the helical edge states enforce a spatial separation of both competing processes for each Kramers’ partner, allowing to propose an all-electrical measurement
of crossed Andreev reflection.
Further, an analytical study of the hybrid system of helical edge states and conventional superconductors in finite magnetic fields leads to the novel superconducting quantum spin Hall effect. It is characterized by edge states. Both the helicity and the protection against scalar disorder of these edge states are unaffected by an in-plane magnetic field. At the same time its superconducting gap and its magnetotransport signals can be tuned in weak magnetic fields, because the combination of helical edge states and superconductivity results in a giant g-factor. This is manifested in a non-monotonic excess current and peak splitting of the dI/dV characteristics as a function of the magnetic field. In consequence, the superconducting quantum spin Hall effect is an effective generator and detector for spin currents.
The research presented here deepens the understanding of the competition of bulk and edge
transport in heterostructures based on topological insulators. Moreover it proposes feasible experiments to all-electrically measure crossed Andreev reflection and to test the spin polarization of helical edge states.
The recently discovered human DREAM complex (for DP, RB-like, E2F and MuvB complex) is a chromatin-associated pocket protein complex involved in cell cycle- dependent gene expression. DREAM consists of five core subunits and forms a complex either with the pocket protein p130 and the transcription factor E2F4 to repress gene expression or with the transcription factors B-MYB and FOXM1 to promote gene expression.
Gas2l3 was recently identified by our group as a novel DREAM target gene. Subsequent characterization in human cell lines revealed that GAS2L3 is a microtubule and F-actin cross-linking protein, expressed in G2/M, plays a role in cytokinesis, and is important for chromosomal stability.
The aim of the first part of the study was to analyze how expression of GAS2L3 is regulated by DREAM and to provide a better understanding of the function of GAS2L3 in mitosis and cytokinesis.
ChIP assays revealed that the repressive and the activating form of DREAM bind to the GAS2L3 promoter. RNA interference (RNAi) mediated GAS2L3 depletion demonstrated the requirement of GAS2L3 for proper cleavage furrow ingression in cytokinesis. Immunofluorescence-based localization studies showed a localization of GAS2L3 at the mitotic spindle in mitosis and at the midbody in cytokinesis. Additional experiments demonstrated that the GAS2L3 GAR domain, a putative microtubule- binding domain, is responsible for GAS2L3 localization to the constriction zones in cytokinesis suggesting a function for GAS2L3 in the abscission process.
DREAM is known to promote G2/M gene expression. DREAM target genes include several mitotic kinesins and mitotic microtubule-associated proteins (mitotic MAPs). However, it is not clear to what extent DREAM regulates mitotic kinesins and MAPs, so far. Furthermore, a comprehensive study of mitotic kinesin expression in cancer cell lines is still missing.
Therefore, the second major aim of the thesis was to characterize the regulation of mitotic kinesins and MAPs by DREAM, to investigate the expression of mitotic kinesins in cancer cell line panels and to evaluate them as possible anti-cancer targets.
ChIP assays together with RNAi mediated DREAM subunit depletion experiments demonstrated that DREAM is a master regulator of mitotic kinesins. Furthermore, expression analyses in a panel of breast and lung cancer cell lines revealed that mitotic kinesins are up-regulated in the majority of cancer cell lines in contrast to non-transformed controls. Finally, an inducible lentiviral-based shRNA system was developed to effectively deplete mitotic kinesins. Depletion of selected mitotic kinesins resulted in cytokinesis failures and strong anti-proliferative effects in several human cancer cell lines.
Thus, this system will provide a robust tool for future investigation of mitotic kinesin function in cancer cells.
Glioblastoma multiforme (GBM) is one of the most frequent and malignant forms of brain cancer in adults. The prognosis is poor with a median survival time of 12-15 months. There is a broad range of alternative treatment options studied in preclinical and clinical trials for GBM. One alternative treatment option is oncolytic virotherapy, defined as the use of replication‐competent viruses that selectively infect and destroy cancer cells while leaving, non‐transformed cells unharmed. Vaccinia virus (VACV) is one favorable candidate. Although oncolytic viruses can kill tumor cells grown in vitro with high efficiency, they often exhibit reduced replication capacity in vivo suggesting that physiological aspects of the tumor microenvironment decrease the virus’ therapeutic potential. The percentage and composition of immune cells varies between cancer types and patients and is investigated as a biomarker in several studies. Making oncolytic virotherapy successful for GBM, it is necessary to understand the individual tumor biology, the interaction with the microenvironment and immune system.
It was demonstrated that the attenuated VACV wild-type (wt) isolate LIVP 1.1.1 replicate and lyse the murine GL261 glioma cell line in vitro. In the following, the replication efficacy was characterized in a comparative approach in vivo. Immunocompetent C57BL/6 (wt) mice and immunodeficient mouse strains of different genetic background C57BL/6 athymic and Balb/c athymic mice were used. In addition, subcutaneous and intracranial locations were compared. The results revealed viral replication exclusively in Balb/c athymic mice with subcutaneous tumors but in none of the other models.
In the following, the tumor microenvironment of the subcutaneous tumor models at the time of infection was performed. The study showed that implantation of the same tumor cells in different mouse strains resulted in a different tumor microenvironment with a distinct composition of immune cells. Highest differences were detected between immunodeficient and immunocompetent mice. The study showed major differences in the expression of MHCII with strongest expression in C57BL/6 wt and weakest in Balb/c athymic tumors. In the following, the influence of the phenotypic change associated with the upregulation of MHCII on GL261 tumor cells on viral replication was analyzed. Comparison of C57BL/6 wt and C57BL/6 IFN-γ knockout mice revealed endogenous IFN-γ levels to upregulate MHCII on GL261 tumor cells and to reduce viral replication in C57BL/6 wt mice. Analysis of single cell suspensions of tumor homogenates of C57BL/6 and Balb/c athymic mice showed that the IFN-γ-mediated anti-tumor effect was a reversible effect. Furthermore, reasons for inhibition of virus replication in orthotopic glioma models were elucidated. By immunohistochemical analysis it was shown that intratumoral amounts of Iba1+ microglia and GFAP+ astrocytes in Gl261 gliomas was independent from intratumoral VACV injection. Based on these findings virus infection in glioma, microglia and astrocytes was compared and analyzed in cell culture. In contrast to the GL261 glioma cells, replication was barely detectable in BV-2 microglia and IMA2.1 astrocytic cells. Co-culture experiments revealed that microglia compete for virus uptake in cell culture. It was further shown that BV-2 cells showed apoptotic characteristics after VACV infection while GL261 cells showed signs of necrotic cell death. Additionally, in BV-2 cells with M1-phenotype a further reduction of viral replication and inhibition of cell lysis was detected. Infection of IMA 2.1 cells was independent of the M1/M2-phenotype. Application of BV-2 microglia with M1-phenotype onto organotypic slice cultures with implanted GL261 tumors resulted in reduced infection of BV-2 cells with LIVP 1.1.1, whereas GL261 cells were significantly infected.
Taken together, the analyzed GL261 tumors were imprinted by the immunologic and genetic background in which they grow. The experimental approach applied in this thesis can be used as suitable model which reflects the principles of personalized medicine
In an additional project, based on gene expression data and bioinformatic analyses, the biological role and function of the anti-apoptotic factor AVEN was analyzed with regard to oncolytic VACV therapy. Besides a comparison of the replication efficacy of GLV-1h68 and VACV-mediated cell killing of four human tumor cell lines, it was shown that AVEN was expressed in all analyzed cells. Further, shown for HT-29 and 1936-MEL, the knockdown of AVEN by siRNA in cell culture resulted in an increase of apoptotic characteristics and a decrease of VACV infection. These findings provide essential insights for future virus development.
The correct regulation of cell growth and proliferation is essential during normal animal development. Myc proteins function as transcription factors, being involved in the con-trol of many growth- and proliferation-associated genes and deregulation of Myc is one of the main driving factors of human malignancies.
The first part of this thesis focuses on the identification of directly regulated Myc target genes in Drosophila melanogaster, by combining ChIPseq and RNAseq approaches. The analysis results in a core set of Myc target genes of less than 300 genes which are mainly involved in ribosome biogenesis. Among these genes we identify a novel class of Myc targets, the non-coding small nucleolar RNAs (snoRNAs). In vivo studies show that loss of snoRNAs not only impairs growth during normal development, but that overexpression of several snoRNAs can also enhance tumor development in a neu-ronal tumor model. Together the data show that Myc acts as a master regulator of ribo-some biogenesis and that Myc’s transforming effects in tumor development are at least partially mediated by the snoRNAs.
In the second part of the thesis, the interaction of Myc and the Zf-protein Chinmo is described. Co-immunoprecipitations of the two proteins performed under endogenous and exogenous conditions show that they interact physically and that neither the two Zf-domains nor the BTB/POZ-domain of Chinmo are important for this interaction. Fur-thermore ChIP experiments and Myc dependent luciferase assays show that Chinmo and Myc share common target genes, and that Chinmo is presumably also involved in their regulation. While the exact way of how Myc and Chinmo genetically interact with each other still has to be investigated, we show that their interaction is important in a tumor model. Overexpression of the tumor-suppressors Ras and Chinmo leads to tu-mor formation in Drosophila larvae, which is drastically impaired upon loss of Myc.
The ecosystem of the high northern latitudes is affected by the recently changing environmental conditions. The Arctic has undergone a significant climatic change over the last decades. The land coverage is changing and a phenological response to the warming is apparent. Remotely sensed data can assist the monitoring and quantification of these changes. The remote sensing of the Arctic was predominantly carried out by the usage of optical sensors but these encounter problems in the Arctic environment, e.g. the frequent cloud cover or the solar geometry. In contrast, the imaging of Synthetic Aperture Radar is not affected by the cloud cover and the acquisition of radar imagery is independent of the solar illumination. The objective of this work was to explore how polarimetric Synthetic Aperture Radar (PolSAR) data of TerraSAR-X, TanDEM-X, Radarsat-2 and ALOS PALSAR and interferometric-derived digital elevation model data of the TanDEM-X Mission can contribute to collect meaningful information on the actual state of the Arctic Environment. The study was conducted for Canadian sites of the Mackenzie Delta Region and Banks Island and in situ reference data were available for the assessment. The up-to-date analysis of the PolSAR data made the application of the Non-Local Means filtering and of the decomposition of co-polarized data necessary.
The Non-Local Means filter showed a high capability to preserve the image values, to keep the edges and to reduce the speckle. This supported not only the suitability for the interpretation but also for the classification. The classification accuracies of Non-Local Means filtered data were in average +10% higher compared to unfiltered images. The correlation of the co- and quad-polarized decomposition features was high for classes with distinct surface or double bounce scattering and a usage of the co-polarized data is beneficial for regions of natural land coverage and for low vegetation formations with little volume scattering. The evaluation further revealed that the X- and C-Band were most sensitive to the generalized land cover classes. It was found that the X-Band data were sensitive to low vegetation formations with low shrub density, the C-Band data were sensitive to the shrub density and the shrub dominated tundra. In contrast, the L-Band data were less sensitive to the land cover. Among the different dual-polarized data the HH/VV-polarized data were identified to be most meaningful for the characterization and classification, followed by the HH/HV-polarized and the VV/VH-polarized data. The quad-polarized data showed highest sensitivity to the land cover but differences to the co-polarized data were small. The accuracy assessment showed that spectral information was required for accurate land cover classification. The best results were obtained when spectral and radar information was combined. The benefit of including radar data in the classification was up to +15% accuracy and most significant for the classes wetland and sparse vegetated tundra. The best classifications were realized with quad-polarized C-Band and multispectral data and with co-polarized X-Band and multispectral data. The overall accuracy was up to 80% for unsupervised and up to 90% for supervised classifications. The results indicated that the shortwave co-polarized data show promise for the classification of tundra land cover since the polarimetric information is sensitive to low vegetation and the wetlands. Furthermore, co-polarized data provide a higher spatial resolution than the quad-polarized data.
The analysis of the intermediate digital elevation model data of the TanDEM-X showed a high potential for the characterization of the surface morphology. The basic and relative topographic features were shown to be of high relevance for the quantification of the surface morphology and an area-wide application is feasible. In addition, these data were of value for the classification and delineation of landforms. Such classifications will assist the delineation of geomorphological units and have potential to identify locations of actual and future morphologic activity.
The honeybee Apis mellifera is a social insect well known for its complex behavior and the ability to learn tasks associated with central place foraging, such as visual navigation or to learn and remember odor-reward associations. Although its brain is smaller than 1mm² with only 8.2 x 105 neurons compared to ~ 20 x 109 in humans, bees still show amazing social, cognitive and learning skills. They express an age – related division of labor with nurse bees staying inside the hive and performing tasks like caring for the brood or cleaning, and foragers who collect food and water outside the hive. This challenges foragers with new responsibilities like sophisticated navigation skills to find and remember food sources, drastic changes in the sensory environment and to communicate new information to other bees. Associated with this plasticity of the behavior, the brain and especially the mushroom bodies (MBs) - sensory integration and association centers involved in learning and memory formation – undergo massive structural and functional neuronal alterations. Related to this background my thesis on one hand focuses on neuronal plasticity and underlying molecular mechanisms in the MBs that accompany the nurse – forager transition.
In the first part I investigated an endogenous and an internal factor that may contribute to the nurse - forager phenotype plasticity and the correlating changes in neuronal network in the MBs: sensory exposure (light) and juvenile hormone (JH). Young bees were precociously exposed to light and subsequently synaptic complexes (microglomeruli, MG) in the MBs or respectively hemolymph juvenile hormone (JH) levels were quantified. The results show that light input indeed triggered a significant decrease in MG density, and mass spectrometry JH detection revealed an increase in JH titer. Interestingly light stimulation in young bees (presumably nurse bees) triggered changes in MG density and JH levels comparable to natural foragers. This indicates that both sensory stimuli as well as the endocrine system may play a part in preparing bees for the behavioral transition to foraging.
Considering a connection between the JH levels and synaptic remodeling I used gene knockdown to disturb JH pathways and artificially increase the JH level. Even though the knockdown was successful, the results show that MG densities remained unchanged, showing no direct effect of JH on synaptic restructuring.
To find a potential mediator of structural synaptic plasticity I focused on the calcium-calmodulin-dependent protein kinase II (CaMKII) in the second part of my thesis. CaMKII is a protein known to be involved in neuronal and behavioral plasticity and also plays an important part in structural plasticity reorganizing synapses. Therefore it is an interesting candidate for molecular mechanisms underlying MG reorganization in the MBs in the honeybee. Corresponding to the high abundance of CaMKII in the learning center in vertebrates (hippocampus), CaMKII was shown to be enriched in the MBs of the honeybee. Here I first investigated the function of CaMKII in learning and memory formation as from vertebrate work CaMKII is known to be associated with the strengthening of synaptic connections inducing long term potentiation and memory formation. The experimental approach included manipulating CaMKII function using 2 different inhibitors and a specific siRNA to create a CaMKII knockdown phenotype. Afterwards bees were subjected to classical olfactory conditioning which is known to induce stable long-term memory. All bees showed normal learning curves and an intact memory acquisition, short-term and mid-term memory (1 hour retention). However, in all cases long-term memory formation was significantly disrupted (24 and 72 hour retention). These results suggests the necessity of functional CaMKII in the MBs for the induction of both early and late phases of long-term memory in honeybees. The neuronal and molecular bases underlying long-term memory and the resulting plasticity in behavior is key to understanding higher brain function and phenotype plasticity. In this context CaMKII may be an important mediator inducing structural synaptic and neuronal changes in the MB synaptic network.
The aim of the present thesis is to explore the potential of X-ray magnetic circular dichroism(XMCD) experiments on gaining new insights into Kondo and heavy fermion materials. XMCD, which is derived from X-ray absorption spectroscopy (XAS), allows probing magnetic polarization specific to the different elements in a material and to their atomic orbitals. In particular, at the Ce M4,5 edges the method is sensitive to the localized 4f level, which provides the magnetic impurity moment responsible for Kondo physics in Ce compounds. Hence, Ce M4,5 XMCD is ideally suited to investigate local magnetism in the presence of interaction of impurity and conduction electrons in such materials.
As a model material, CePt5/Pt(111) surface intermetallics were chosen for the present study. This thin-film material can be prepared by well-defined procedures involving molecular beam epitaxy. Crystalline Ordered samples are obtained by exploiting the single-crystallinity of the Pt(111) substrate. The surface character of thin films ideally matches the probing depth of soft X-ray spectroscopy in the total electron yield mode.
The XMCD and XAS experiments, taking into account dependence on temperature, angle of incidence, sample thickness and external magnetic field, revealed the presence of four relevant energy scales that influence the magnetic response:
1. The 4f level in CePt5/Pt(111) is subject to significant crystal field (CF) splitting, which leads to reorganization of the six j = 5/2 sublevels. The hexagonal symmetry of the crystal structure conserves mj as a good quantum number. The proposed CF scheme, which is derived from measurements of the paramagnetic susceptibility by XMCD as well as linear dichroism in XAS, consists of nearly degenerate |1/2> and |3/2> doublets with the |5/2> doublet excited by E5/2 = 15 ... 25 meV.
2. Single impurity Kondo interaction significantly couples the magnetic moments of the impurity and conduction electrons. A signature thereof is the f0 -> f1 contribution to Ce M4,5 XAS, the strength of which can be tuned by control of the sample thickness. This finding is in line with the observation of reduced effective 4f moments as detected by XMCD.
3. Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction induces ferromagnetic correlations on the impurity lattice, which induces a positive Curie-Weiss temperature in the temperature-dependent inverse susceptibility.
4. Indications for the transition to a coherent heavy fermion state are found in the inverse susceptibility at T ~ 20 K; the ferromagnetic ground state is not observed. The fielddependence of the magnetic moment in the coherent state can be interpreted in terms of a metamagnetic transition. This allows studying basic characteristics of the renormalized band structure of a heavy fermion system by XMCD.
The disentanglement of these different contributions to the 4f magnetism not only required extensive Ce M4,5 XAS and XMCD data, but also a thorough structural characterization of the material, a fundamental study of the Ce M4,5 line shape in relation to the degree of 4f hybridization and the development of a model for the paramagnetic susceptibility.
The unit cell dimensions and sample morphology of CePt5/Pt(111) intermetallics were studied by low-energy electron diffraction (LEED) and scanning transmission electron microscopy (STEM). These experiments showed that well-defined intermetallic films form on top of the substrate. This lead to introduction of the film thickness t, measured in unit cells (u.c.), as a key feature to characterize the samples.
Systematic LEED measurements in the thickness range t ~ 1 ... 15 u.c. allowed identification of six different phases, which could be interpreted as resulting from the same crystal structure with different rotational alignments and lattice constants. An accurate determination of the surface lattice constant at t ~ 3 u.c. could be achieved by interpretation of additional superstructure spots as arising from a well-defined combination of substrate and film lattices. The thicknessdependence of the lateral lattice constant could be explained in terms of lattice relaxation.
Confirmation of the CePt5 stoichiometry and structure was performed by use of thicknessdependent XAS and a representative LEED-IV study. The results of this study indicate that the intermetallic films exhibit hexagonal CaCu5 structure over the entire range of thicknesses that were studied. The terminating layer consists purely of Pt with one additional Pt atom per unit cell compared to the bulk structure.
The line shape of Ce M4,5 spectra was analyzed with the help of full multiplet calculations.
Experimentally, characteristic variations of the line shape were observed with increasing f0 -> f1 contribution. The calculations show that these variations are not due to an admixture of j = 7/2 character to the ground state, as often stated in the literature. As alternatives, this observation can be explained by either considering an additional contribution to the spectrum or by assumption of an asymmetric lifetime profile.
The model that was developed for the inverse paramagnetic susceptibility contains the hexagonal crystal field, magnetic coupling of the impurity moments in a mean field scheme and Kondo screening. The latter is included phenomenologically by screening factors for the effective moment. Assumption of doublet-specific screening factors, which means that the degree of Kondo interaction depends on the mj character of the 4f sublevels, allows satisfactory reproduction of the experimental data.
Intraperitoneal adhesions are fibrous bands that connect tissues in the peritoneal cavity that are usually separated. These adhesions form as a consequence of trauma, inflammation or surgical interventions and often result in severe consequences such as chronic pain, small bowel obstructions or female infertility.
The aim of this thesis was to develop a synthetic barrier device for adhesion prevention made of modified poly(lactide) [PLA]. Solid PLA films (SurgiWrap®) are already successfully in clinical use due to the good biocompatibility and the biodegradability of the material resulting in non-toxic degradation products since lactic acid is naturally part of the metabolic circles of the human body. Considering the brittleness and stiffness of the films, the long degradation time of several months as well as the need for suturing, there is potential for optimization. Through a copolymerization with the hydrophilic poly(ethylene glycol) [PEG], a reduction of the degradation time was intendend. Moreover, the copolymerization should also lead to an improvement of the mechanical properties of the films since PEG acts as plasticizer for PLA. Linear PLA-PEG-PLA triblock copolymers as well as star-shaped PEG-PLA copolymers were synthesized via standard ring opening polymerization to tailor the barrier properties. Besides solid films, solution electrospun meshes from PLA and the synthesized PEG-PLA copolymers were investigated for a potential application as well. Since suturing of a barrier additionally induces adhesion formation, alginate coated membranes were prepared in order to achieve self-adhesiveness. With the intention to reduce infections and consequently inflammation, electrospun meshes and solvent cast films were loaded with the antibacterial drug triclosan and drug release as well as antibacterial efficacy was investigated.
Mechanical tests confirmed that through the variation of the PEG content and branching the mechanical properties can be tailored and are in good accordance with the glass transition temperatures [Tg] of the polymers. Consequently, potentially adequate mechanical properties for surgical handling as well as for the performance within the patient’s body were successfully achieved. Degradation studies revealed that the degradation time was significantly shorter for PEG-PLA membranes than for PLA films and with an appropriate PEG content could be adjusted to the intended time frame. Cell adhesion and viability tests confirmed the non-toxicity of the clinically used PLA films as well as of PEG-PLA films and meshes. With a bioadhesion test the benefit of an alginate coated side towards the pure PLA film concerning self-adhesiveness was successfully demonstrated. Moreover, optical evaluations and a T-peel test of different alginate coated PLA films showed that the cohesion between the chemically different layers was distinctly enhanced by the use of an appropriate PEG-PLA mesh as intermediate cohesion promoting layer. In in vitro release studies with triclosan loaded films a higher release was determined for PEG-PLA than for PLA films. In agar diffusion tests a higher and longer inhibition of staphylococcus aureus growth was observed confirming the release results. Moreover, drug loaded meshes (especially drug loaded after electrospinning) showed enhanced and elongated bacterial inhibition in comparison to films.
Habitat fragmentation and destruction due to anthropogenic land use are the major causes of the increasing extinction risk of many species and have a detrimental impact on animal populations in numerous ways. The long-term survival and stability of spatially structured populations in fragmented landscapes largely depends on the colonisation of habitat patches and the exchange of individuals and genes between patches. The degree of inter-patch dispersal, in turn, depends on the dispersal ability of a species (i.e. the combination of physiological and morphological factors that facilitate dispersal) and the landscape structure (i.e. the nature of the landscape matrix or the spatial configuration of habitat patches). As fragmentation of landscapes is increasing and the number of species is continuously declining, a thorough understanding of the causes and consequences of dispersal is essential for managing natural populations and developing effective conservation strategies.
In the context of animal dispersal, movement behaviour is intensively investigated with capture-mark-recapture studies. For the analysis of such experiments, the influence of marking technique, handling and translocation of marked animals on movement pattern is of crucial importance since it may mask the effects of the main research question. Chapter 2 of this thesis presents a capture-mark-recapture study investigating the effect of translocation on the movement behaviour of the blue-winged grasshopper Oedipoda caerulescens. Transferring individuals of this grasshopper species to suitable but unfamilliar sites has a significant influence on their movement behaviour. Translocated individuals moved longer distances, showed smaller daily turning angles, and thus their movements were more directed than those of resident individuals. The effect of translocation was most pronounced on the first day of the experiment, but may persist for longer. On average, daily moved distances of translocated individuals were about 50 % longer than that of resident individuals because they have been transferred to an unfamiliar habitat patch. Depending on experiment duration, this leads to considerable differences in net displacement between translocated and resident individuals. In summary, the results presented in chapter 2 clearly point out that translocation effects should not be disregarded in future studies on arthropod movement, respectively dispersal. Studies not controlling for possible translocation effects may result in false predictions of dispersal behaviour, habitat detection capability or habitat preferences.
Beside direct field observations via capture-mark-recapture methods, genetic markers can be used to investigate animal dispersal. Chapter 3 presents data on the genetic structure of populations of Metrioptera bicolor, a wing-dimorphic bush cricket, in a spatially structured landscape with patches of suitable habitat distributed within a diverse matrix of different habitat types. Using microsatellite markers, the effects of geographic distance and different matrix types on the genetic differentiation among 24 local populations was assessed. The results of this study clearly indicate that for M. bicolor the isolation of local populations severely depends on the type of surrounding matrix. The presence of forest and a river running through the study area was positively correlated with the extent of genetic differentiation between populations. This indicates that both matrix types severely impede gene flow and the exchange of individuals between local populations of this bush cricket. In addition, for a subsample of populations which were separated only by arable land or settlements, a significant positive correlation between pairwise genetic and geographic distances exists. For the complete data set, this correlation could not be found. This is most probably due to the adverse effect of forest and river on gene flow which dominates the effect of geographic distance in the limited set of patches investigated in this study. The analyses in chapter 3 clearly emphasize the differential resistance of different habitat types on dispersal and the importance of a more detailed view on matrix ‘quality’ in metapopulation studies. Studies that focus on the specific dispersal resistance of different matrix types may provide much more detailed information on the dispersal capacity of species than a mere analysis of isolation by distance. Such information is needed to improve landscape oriented models for species conservation.
In addition to direct effects on realised dispersal (see chapter 3), landscape structure on its own is known to act as an evolutionary selection agent because it determines the costs and benefits of dispersal. Both morphological and behavioural traits of individuals and the degree to which a certain genotype responds to environmental variation have heritable components, and are therefore expected to be able to respond to selection pressures. Chapter 4 analyses the influence of patch size, patch connectivity (isolation of populations) and sand dynamics (stability of habitat) on thorax- and wing length as proxies for dispersal ability of O. caerulescens in coastal grey dunes. This study revealed clear and sex-specific effects of landscape dynamics and patch configuration on dispersal-related morphology. Males of this grasshopper species were smaller and had shorter wings if patches were larger and less connected. In addition, both sexes were larger in habitat patches with high sand dynamics compared to those in patches with lower dynamics. The investments in wing length were only larger in connected populations when sand dynamics were low, indicating that both landscape and patch-related environmental factors are of importance. These results are congruent with theoretical predictions on the evolution of dispersal in metapopulations. They add to the evidence that dispersal-related morphology varies and is selected upon in recently structured populations even at small spatial scales.
Dispersal involves different individual fitness costs like increased predation risk, energy expenditure, costs of developing dispersal-related traits, failure to find new suitable habitat as well as reproductive costs. Therefore, the decision to disperse should not be random but depend on the developmental stage or the physiological condition of an individual just as on actual environmental conditions (context-dependent dispersal, e.g. sex- and wing morph-biased dispersal). Biased dispersal is often investigated by comparing the morphology, physiology and behaviour of females and males or sedentary and dispersive individuals. Studies of biased dispersal in terms of capture-mark-recapture experiments, investigating real dispersal and not routine movements, and genetic proofs of biased dispersal are still rare for certain taxa, especially for orthopterans. However, information on biased dispersal is of great importance as for example, undetected biased dispersal may lead to false conclusions from genetic data. In chapter 5 of this thesis, a combined approach of morphological and genetic analyses was used to investigate biased dispersal of M. bicolor. The presented results not only show that macropterous individuals are predestined for dispersal due to their morphology, the genetic data also indicate that macropters are more dispersive than micropters. Furthermore, even within the group of macropterous individuals, males are supposed to be more dispersive than females. To get an idea of the flight ability of M. bicolor, the morphological data were compared with that of Locusta migratoria and Schistocerca gregaria, which are proved to be very good flyers. Based on the morphological data presented here, one can assume a good flight ability for macropters of M. bicolor, although flying individuals of this species are seldom observed in natural populations.
Brain-computer interfaces (BCIs) could provide a muscle-independent communication channel to persons with severe paralysis by translating brain activity into device commands. As a means of communication, in particular BCIs based on event-related potentials (ERPs) as control signal have been researched. Most of these BCIs rely on visual stimulation and have been investigated with healthy participants in controlled laboratory environments. In proof-of-principle studies targeted end users gained control over BCI systems; however, these systems are not yet established as an assistive technology for persons who would most benefit from them. The main aim of this thesis is to advance the usability of ERP-BCIs for target users. To this end, five studies with BCIs have been conducted that enabled users to communicate by focusing their attention on external stimuli.
Two studies were conducted in order to demonstrate the advantages and to further improve the practical application of visual BCIs. In the first study, mental workload was experimentally manipulated during prolonged BCI operation. The study showed the robustness of the visual ERP-BCI since users maintained a satisfactory level of control despite constant distraction in the form of background noise. Moreover, neurophysiological markers that could potentially serve as indicators of high mental workload or fatigue were revealed. This is a first step towards future applications in which the BCI could adapt to the mental state of the user (e.g. pauses if high mental workload is detected to prevent false selections). In the second study, a head-mounted display (HMD), which assures that stimuli are presented in the field of view of the user, was evaluated. High accuracies and information transfer rates, similar to a conventional display, were achieved by healthy participants during a spelling task. Furthermore, a person in the locked-in state (LIS) gained control over the BCI using the HMD. The HMD might be particularly suited for initial communication attempts with persons in the LIS in situations, where mounting a conventional monitor is difficult or not feasible.
Visual ERP-BCIs could prove valuable for persons with residual control over eye muscles and sufficient vision. However, since a substantial number of target users have limited control over eye movements and/or visual impairments, BCIs based on non-visual modalities are required. Therefore, a main aspect of this thesis was to improve an auditory paradigm that should enable motor impaired users to spell by focusing attention on different tones. The two conducted studies revealed that healthy participants were able to achieve high spelling performance with the BCI already in the first session and stress the importance of the choice of the stimulus material. The employed natural tones resulted in an increase in performance compared to a previous study that used artificial tones as stimuli. Furthermore, three out of five users with a varying degree of motor impairments could gain control over the system within the five conducted sessions. Their performance increased significantly from the first to the fifth session - an effect not previously observed for visual ERP-BCIs. Hence, training is particularly important when testing auditory multiclass BCIs with potential users.
A prerequisite for user satisfaction is that the BCI technology matches user requirements. In this context, it is important to compare BCIs with already established assistive technology. Thus, the fifth study of this dissertation evaluated gaze dependent methods (EOG, eye tracking) as possible control signals for assistive technology and a binary auditory BCI with a person in the locked-in state. The study participant gained control over all tested systems and rated the ease of use of the BCI as the highest among the tested alternatives, but also rated it as the most tiring due to the high amount of attention that was needed for a simple selection. Further efforts are necessary to simplify operation of the BCI.
The involvement of end users in all steps of the design and development process of BCIs will increase the likelihood that they can eventually be used as assistive technology in daily life. The work presented in this thesis is a substantial contribution towards the goal of re-enabling communication to users who cannot rely on motor activity to convey their thoughts.
Anxiety is an affective state characterized by a sustained, long-lasting defensive response, induced by unpredictable, diffuse threat. In comparison, fear is a phasic response to predictable threat. Fear can be experimentally modeled with the help of cue conditioning. Context conditioning, in which the context serves as the best predictor of a threat due to the absence of any conditioned cues, is seen as an operationalization of sustained anxiety.
This thesis used a differential context conditioning paradigm to examine sustained attention processes in a threat context compared to a safety context for the first time. In three studies, the attention mechanisms during the processing of contextual anxiety were examined by measuring heart rate responses and steady-state-visually evoked potentials (ssVEPs). An additional focus was set on the processing of social cues (i.e. faces) and the influence of contextual information on these cues. In a last step, the correlates of sustained anxiety were compared to evoked responses by phasic fear, which was realized in a previously established paradigm combining predictable and unpredictable threat.
In the first study, a contextual stimulus was associated with an aversive loud noise, while a second context remained unpaired. This conditioning paradigm created an anxiety context (CTX+) and a safety context (CTX-). After acquisition, a social agent vs. an object was presented as a distractor in both contexts. Heart rate and cortical responses, with ssVEPs by using frequency tagging, to the contexts and the distractors were assessed. Results revealed enhanced ssVEP amplitudes for the CTX+ compared to the CTX− during acquisition and during presentation of distractor stimuli. Additionally, the heart rate was accelerated in the acquisition phase, followed by a heart rate deceleration as a psychophysiological marker of contextual anxiety.
Study 2 used the same context conditioning paradigm as Study 1. In contrast to the first study, persons with different emotional facial expressions were presented in the anxiety and safety contexts in order to compare the differential processing of these cues within periods of threat and safety. A similar anxiety response was found in the second study, although only participants who
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were aware of the contingency between contexts and aversive event showed a sensory amplification of the threat context, indicated by heart rate response and ssVEP activation. All faces irrespective of their emotional expression received increased attentional resources when presented within the anxiety context, which suggests a general hypervigilance in anxiety contexts.
In the third study, the differentiation of predictable and unpredictable threat as an operationalization of fear and anxiety was examined on a cortical and physiological level. In the predictable condition, a social cue was paired with an aversive event, while in the unpredictable condition the aversive event remained unpaired with the respective cue. A fear response to the predictable cue was found, indicated by increased oscillatory response and accelerated heart rate. Both predictable and unpredictable threat yielded increased ssVEP amplitudes evoked by the context stimuli, while the response in the unpredictable context showed longer-lasting ssVEP activation to the threat context.
To sum up, all three studies endorsed anxiety as a long-lasting defensive response. Due to the unpredictability of the aversive events, the individuals reacted with hypervigilance in the anxiety context, reflected in a facilitated processing of sensory information and an orienting response. This hypervigilance had an impact on the processing of novel cues, which appeared in the anxiety context. Considering the compared stimuli categories, the stimuli perceived in a state of anxiety received increased attentional resources, irrespective of the emotional arousal conveyed by the facial expression. Both predictable and unpredictable threat elicited sensory amplification of the contexts, while the response in the unpredictable context showed longer-lasting sensory facilitation of the threat context.
Division of labor represents a major advantage of social insect communities that accounts for their enormous ecological success. In colonies of the honeybee, Apis mellifera, division of labor comprises different tasks of fertile queens and drones (males) and, in general, sterile female workers. Division of labor also occurs among workers in form of an age-related polyethism. This helps them to deal with the great variety of tasks within the colony. After adult eclosion, workers spend around three weeks with various duties inside the hive such as tending the brood or cleaning and building cells. After this period workers switch to outdoor tasks and become foragers collecting nectar, pollen and water. With this behavioral transition, workers face tremendous changes in their sensory environment. In particular, visual sensory stimuli become important, but also the olfactory world changes. Foragers have to perform a completely new behavioral repertoire ranging from long distance navigation based on landmark orientation and polarized-skylight information to learning and memory tasks associated with finding profitable food sources. However, behavioral maturation is not a purely age-related internal program associated with a change, for example, in juvenile hormone titers. External factors such as primer pheromones like the brood pheromone or queen mandibular pheromone can modulate the timing of this transition. In this way colonies are able to flexibly adjust their work force distribution between indoor and outdoor tasks depending on the actual needs of the colony. Besides certain physiological changes, mainly affecting glandular tissue, the transition from indoor to outdoor tasks requires significant adaptations in sensory and higher-order integration centers of the brain.
The mushroom bodies integrate olfactory, visual, gustatory and mechanosensory information. Furthermore, they play important roles in learning and memory processes. It is therefore not surprising that the mushroom bodies, in particular their main input region, the calyx, undergo volumetric neuronal plasticity. Similar to behavioral maturation, plastic changes of the mushroom bodies are associated with age, but are also to be affected by modulating factors such as task and experience.
In my thesis, I analyzed in detail the neuronal processes underlying volumetric plasticity in the mushroom body. Immunohistochemical labeling of synaptic proteins combined with quantitative 3D confocal imaging revealed that the volume increase of the mushroom body calyx is largely caused by the growth of the Kenyon cell dendritic network. This outgrowth is accompanied by changes in the synaptic architecture of the mushroom body calyx, which is organized in a distinct pattern of synaptic complexes, so called microglomeruli. During the first week of natural adult maturation microglomeruli remain constant in total number. With subsequent behavioral transition from indoor duties to foraging, microglomeruli are pruned while the Kenyon cell dendritic network is still growing. As a result of these processes, the mushroom body calyx neuropil volume enlarges while the total number of microgloumeruli becomes reduced in foragers compared to indoor workers. In the visual subcompartments (calyx collar) this process is induced by visual sensory stimuli as the beginning of pruning correlates with the time window when workers start their first orientation flights. The high level of analysis of cellular and subcellular process underlying structural plasticity of the mushroom body calyx during natural maturation will serve as a framework for future investigations of behavioral plasticity in the honeybee.
The transition to foraging is not purely age-dependent, but gets modulated, for example, by the presence of foragers. Ethyl oleate, a primer pheromone that is present only in foragers, was shown to delay the onset of foraging in nurse bees. Using artificial application of additional ethyl oleate in triple cohort colonies, I tested whether it directly affects adult neuronal plasticity in the visual input region of the mushroom body calyx. As the pheromonal treatment failed to induce a clear behavioral phenotype (delayed onset of foraging) it was not possible to show a direct link between the exposure to additional ethyl oleate and neuronal plasticity in mushroom body calyx. However, the general results on synaptic maturation confirmed my data of natural maturation processes in the mushroom body calyx.
Given the result that dendritic plasticity is a major contributor to neuronal plasticity in the mushroom body calyx associated with division of labor, the question arose which proteins could be involved in mediating these effects. Calcium/calmodulin-dependent protein kinase II (CaMKII) especially in mammals, but also in insects (Drosophila, Cockroach), was shown to be involved in facilitating learning and memory processes like long-term synaptic potentiation. In addition to presynaptic effects, the protein was also revealed to directly interact with cytoskeleton elements in the postsynapse. It therefore is a likely candidate to mediate structural synaptic plasticity. As part of my thesis, the presence and distribution of CaMKII was analyzed, and the results showed that the protein is highly concentrated in a distinct subpopulation of the mushroom body intrinsic neurons, the noncompact Kenyon cells. The dendritic network of this population arborizes in two calyx subregions: one receiving mainly olfactory input – the lip – and the collar receiving visual input. This distribution pattern did not change with age or task. The high concentration of CaMKII in dendritic spines and its overlap with f-actin indicates that CaMKII could be a key player inducing structural neuronal plasticity associated with learning and memory formation and/or behavioral transitions related to division of labor. Interestingly CaMKII immunoreactivity was absent in the basal ring, another subregion of the mushroom body calyx formed almost exclusively by the inner compact Kenyon cells and known to receive combined visual and olfactory input. This indicates differences of this mushroom body subregion regarding the molecular mechanisms controlling plastic changes in corresponding Kenyon cells.
How is timing of behavioral and neuronal plasticity regulated? The primer pheromone ethyl oleate was found in high concentrations on foragers and was shown to influence behavioral maturation by delaying the onset of foraging when artificially applied in elevated concentrations. But how is ethyl oleate transferred and how does it shift the work force distribution between indoor and outdoor tasks? Previous work showed that ethyl oleate concentrations are highest in the honeycrop of foragers and suggested that it is transferred and communicated inside the colony via trophallaxis. The results of this thesis however clearly show, that ethyl oleate was not present inside the honey crop or the regurgitate, but rather in the surrounding tissue of the honey crop. As additionally the second highest concentration of ethyl oleate was measured on the surface of the cuticle of forgers, trophallaxis was ruled out as a mode of transmission. Neurophysiological measurements at the level of the antennae (electroantennogram recordings) and the first olfactory neuropil (calcium imaging of activity in the antennal lobe) revealed that the primer pheromone ethyl oleate is received and processed as an olfactory stimulus. Appetitive olfactory conditioning using the proboscis extension response as a behavioral paradigm showed that ethyl oleate can be associated with a sugar reward. This indicates that workers are able to perceive, learn and memorize the presence of this pheromone. As ethyl oleate had to be presented by a heated stimulation device at close range, it can be concluded that this primer pheromone acts via close range/contact chemoreception through the olfactory system. This is also supported by previous behavioral observations.
Taken together, the findings presented in this thesis revealed structural changes in the synaptic architecture of the mushroom body calyx associated with division of labor. For the primer pheromone ethyl oleate, which modulates the transition from nursing to foraging, the results clearly showed that it is received via the olfactory system and presumably acts via this pathway. However, manipulation experiments did not indicate a direct effect of ethyl oleate on synaptic plasticity. At the molecular level, CaMKII is a prime candidate to mediate structural synaptic plasticity in the mushroom body calyx. Future combined structural and functional experiments are needed to finally link the activity of primer pheromones like ethyl oleate to the molecular pathways mediating behavioral and synaptic plasticity associated with division of labor in Apis mellifera. The here identified underlying processes will serve as excellent models for a general understanding of fundamental mechanisms promoting behavioral plasticity.
Analysis of discretization schemes for Fokker-Planck equations and related optimality systems
(2015)
The Fokker-Planck (FP) equation is a fundamental model in thermodynamic kinetic theories and
statistical mechanics.
In general, the FP equation appears in a number of different fields in natural sciences, for instance in solid-state physics, quantum optics, chemical physics, theoretical biology, and circuit theory. These equations also provide a powerful mean to define
robust control strategies for random models. The FP equations are partial differential equations (PDE) describing the time evolution of the probability density function (PDF) of stochastic processes.
These equations are of different types depending on the underlying stochastic process.
In particular, they are parabolic PDEs for the PDF of Ito processes, and hyperbolic PDEs for piecewise deterministic processes (PDP).
A fundamental axiom of probability calculus requires that the integral of the PDF over all the allowable state space must be equal to one, for all time. Therefore, for the purpose of accurate numerical simulation, a discretized FP equation must guarantee conservativeness of the total probability. Furthermore, since the
solution of the FP equation represents a probability density, any numerical scheme that approximates the FP equation is required to guarantee the positivity of the solution. In addition, an approximation scheme must be accurate and stable.
For these purposes, for parabolic FP equations on bounded domains, we investigate the Chang-Cooper (CC) scheme for space discretization and first- and
second-order backward time differencing. We prove that the resulting
space-time discretization schemes are accurate, conditionally stable, conservative, and preserve positivity.
Further, we discuss a finite difference discretization for the FP system corresponding to a PDP process in a bounded domain.
Next, we discuss FP equations in unbounded domains.
In this case, finite-difference or finite-element methods cannot be applied. By employing a suitable set of basis functions, spectral methods allow to treat unbounded domains. Since FP solutions decay exponentially at infinity, we consider Hermite functions as basis functions, which are Hermite polynomials multiplied by a Gaussian.
To this end, the Hermite spectral discretization is applied
to two different FP equations; the parabolic PDE corresponding to Ito processes, and the system of hyperbolic PDEs corresponding to a PDP process. The resulting discretized schemes are analyzed. Stability and spectral accuracy of the Hermite spectral discretization of the FP problems is proved. Furthermore, we investigate the conservativity of the solutions of FP equations discretized with the Hermite spectral scheme.
In the last part of this thesis, we discuss optimal control problems governed by FP equations on the characterization of their solution by optimality systems. We then investigate the Hermite spectral discretization of FP optimality systems in unbounded domains.
Within the framework of Hermite discretization, we obtain sparse-band systems of ordinary differential equations. We analyze the accuracy of the discretization schemes by showing spectral convergence in approximating the state, the adjoint, and the control variables that appear in the FP optimality systems.
To validate our theoretical estimates, we present results of numerical experiments.
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease of the brain, which is characterized by a progressive loss of memory and spatial orientation. Only less than 5-10% of AD sufferers are familial cases due to genetic mutations in the amyloid precursor protein (APP) gene or presenilin (PS) 1 and 2 genes. The cause of sporadic AD (sAD) which covers > 95% of AD patients is still unknown. Current research found interactions between aging, diabetes and cognitive decline including dementia in general and in AD in particular. Disturbances of brain glucose uptake, glucose tolerance and utilization and impairment of the insulin/insulin receptor (IR) signaling cascade are thought to be key targets for the development of sAD.
In the brain of AD patients, neural plasticity is impaired indicated by synaptic and neuronal loss. Adult neurogenesis (AN), the generation of functional neurons in the adult brain, may be able to restore neurological function deficits through the integration of newborn neurons into existing neural networks. The dentate gyrus of the hippocampus is one out of few brain regions where life-long AN exists. However, there is a big controversy in literature regarding the involvement of AN in AD pathology. Most animal studies used transgenic mice based on the Amyloid ß (Aß) hypothesis which primarily act as models for the familial form of AD. Findings from human post mortem AN studies were also inconstistent. In this thesis, we focused on the possible involvement of AN in the pathogenesis of the sporadic form of AD. Streptozotocin intracerebroventricularily (STZ icv) treated rats, which develop an insulin-resistant brain state and learning and memory deficits preceding Aß pathology act as an appropriate animal model for sAD. We used STZ treatment for both parts of my work, for the in vivo and in vitro study.
In the first part of my thesis, my coworkers and I investigated STZ icv treatment effects on different stages of AN in an in vivo approach. Even if STZ icv treatment does not seem to considerably influence stem cell proliferation over a short-term (1 month after STZ icv treatment) as well as in a long-term (3 months after STZ icv treatment) period, it results in significantly less immature and newborn mature neurons 3 months after STZ icv treatment. This reduction detected after 3 months was specific for the septal hippocampus, discussed to be important for spatial learning. Subsequently we performed co-localization studies with antibodies detecting BrdU (applied appr. 27 days before sacrifice) and cell-type specific markers such as NeuN, and GFAP, we found that STZ treatment does not affect the differentiation fate of newly generated cells. Phenotype analysis of BrdU-positive cells in the hilus and molecular layer revealed that some of the BrdU-positive cells are newborn oligodendrocytes but not newborn microglia.
In the second part of my thesis I worked with cultured neural stem cells (NSCs) isolated from the adult rat hippocampus to reveal STZ effects on the proliferation of of NSCs, and on the survival and differentiation of their progeny. Furthermore, this in vitro approach enabled me to study cellular mechanisms underlying the observed impaired neurogenesis in the hippocampus of STZ-treated rats. In contrast to our findings of the STZ icv in vivo study we revealed that STZ supplied with the cell culture medium inhibits the proliferation of NSCs in a dose-dependent and time-dependent manner. Moreover, performing immunofluorescence studies with antibodies detecting cell-type specific markers after triggering NSCs to differentiate, we could show that STZ treatment affects the number of newly generated neurons but not of astrocytes. Analyzing newborn cells starting to differentiate and migrate I was able to demonstrate that STZ has no effect on the migration of newborn cells. Trying to reveal cellular mechanisms underlying the negative influence of STZ on hippocampal AN, we performed qRT-PCR and immunofluorescence staining and thus could show that in NSCs the expression of glucose transporter (GLUT)3 mRNA as well as IR and GLUT3 protein levels are reduced after STZ treatment. Therefore, the inhibition of the proliferation of NSCs may be (at least partially) caused by these two molecules. Interestingly, the effect of STZ on differentiating cells was shown to be different, as IR protein expression was not significantly changed but GLUT3 protein levels were decreased in consequence of STZ treatment.
In summary, this project delivered further insights into the interrelation between AN the sporadic form of sAD and thus provides a basis of new therapeutic approaches in sAD treatment through intervening AN. Discrepancies between the results of the two parts of my thesis, the in vivo and in vitro part, were certainly caused to a certain extent by the missing microenvironment in the in vitro approach with cultured NSCs. Future studies e.g. using co-culture systems could at least minimize the effect of a missing natural microenvironment of cultured NSCs, so that the use of an in vitro approach for the investigation of STZ treatment underlying cellular mechanisms can be improved.
Several aspects of the stability analysis of large-scale discrete-time systems are considered. An important feature is that the right-hand side does not have have to be continuous.
In particular, constructive approaches to compute Lyapunov functions are derived and applied to several system classes.
For large-scale systems, which are considered as an interconnection of smaller subsystems, we derive a new class of small-gain results, which do not require the subsystems to be robust in some sense. Moreover, we do not only study sufficiency of the conditions, but rather state an assumption under which these conditions are also necessary.
Moreover, gain construction methods are derived for several types of aggregation, quantifying how large a prescribed set of interconnection gains can be in order that a small-gain condition holds.
The learned helplessness phenomenon is a specific animal behavior induced by prior exposure to uncontrollable aversive stimuli. It was first found by Seligman and Maier (1967) in dogs and then has been reported in many other species, e.g. in rats (Vollmayr and Henn, 2001), in goldfishes (Padilla, 1970), in cockroaches (Brown, 1988) and also in fruit flies (Brown, 1996; Bertolucci, 2008). However, the learned helplessness effect in fruit flies (Drosophila melanogaster) has not been studied in detail. Thus, in this doctoral study, we investigated systematically learned helplessness behavior of Drosophila for the first time.
Three groups of flies were tested in heatbox. Control group was in the chambers experiencing constant, mild temperature. Second group, master flies were punished in their chambers by being heated if they stopped walking for 0.9s. The heat pulses ended as soon as they resumed walking again. A third group, the yoked fly, was in their chambers at the same time. However, their behavior didn’t affect anything: yoked flies were heated whenever master flies did, with same timing and durations. After certain amount of heating events, yoked flies associated their own behavior with the uncontrollability of the environment. They suppressed their innate responses such as reducing their walking time and walking speed; making longer escape latencies and less turning around behavior under heat pulses. Even after the conditioning phase, yoked flies showed lower activity level than master and control flies. Interestingly, we have also observed sex dimorphisms in flies. Male flies expressed learned helplessness not like female flies. Differences between master and yoked flies were smaller in male than in female flies. Another interesting finding was that prolonged or even repetition of training phases didn’t enhance learned helplessness effect in flies.
Furthermore, we investigated serotonergic and dopaminergic nervous systems in learned helplessness. Using genetic and pharmacological manipulations, we altered the levels of serotonin and dopamine in flies’ central nervous system. Female flies with reduced serotonin concentration didn’t show helpless behavior, while the learned helplessness effect in male flies seems not to be affected by a reduction of serotonin. Flies with lower dopamine level do not display the learned helplessness effect in the test phase, suggesting that with low dopamine the motivational change in learned helplessness in Drosophila may decline faster than with a normal dopamine level.
In this thesis, I present a model system for carbohydrate interactions with single-crystalline Ru surfaces. Geometric and electronic properties of copper phthalocyanine (CuPc) on top of graphene on hexagonal Ru(0001), rectangular Ru(10-10) and vicinal Ru(1,1,-2,10) surfaces have been studied. First, the Fermi surfaces and band structures of the three Ru surfaces were investigated by high-resolution angle-resolved photoemission spectroscopy. The experimental data and theoretical calculations allow to derive detailed information about the momentum-resolved electronic structure. The results can be used as a reference to understand the chemical and catalytic properties of Ru surfaces. Second, graphene layers were prepared on the three different Ru surfaces. Using low-energy electron diffraction and scanning tunneling microscopy, it was found that graphene can be grown in well-ordered structures on all three surfaces, hexagonal Ru(0001), rectangular Ru(10-10) and vicinal Ru(1,1,-2,10), although they have different surface symmetries. Evidence for a strong interaction between graphene and Ru surfaces is a 1.3-1.7e V increase in the graphene pi-bands binding energy with respect to free-standing graphene sheets. This energy variation is due to the hybridization between the graphene pi bands and the Ru 4d electrons, while the lattice mismatch does not play an important role in the bonding between graphene and Ru surfaces. Finally, the geometric and electronic structures of CuPc on Ru(10-10), graphene/Ru(10-10), and graphene/Ru(0001) have been studied in detail. CuPc molecules can be grown well-ordered on Ru(10-10) but not on Ru(0001). The growth of CuPc on graphene/Ru(10-10) and Ru(0001) is dominated by the Moire pattern of graphene. CuPc molecules form well-ordered structures with rectangular unit cells on graphene/Ru(10-10) and Ru(0001). The distance of adjacent CuPc molecules is 1.5 and 1.3 nm on graphene/Ru(0001) and 1.54 and 1.37 nm on graphene/Ru(10-10). This indicates that the molecule-substrate interaction dominates over the intermolecular interaction for CuPc molecules on graphene/Ru(10-10) and graphene/Ru(0001).
Pulsars (in short for Pulsating Stars) are magnetized, fast rotating neutron stars. The basic picture of a pulsar describes it as a neutron star which has a rotation axis that is not aligned with its magnetic field axis. The emission is assumed to be generated near the magnetic poles of the neutron star and emitted along the open magnetic field lines. Consequently, the corresponding beam of photons is emitted along the magnetic field line axis. The non-alignment of both, the rotation and the magnetic field axis, results in the effect that the emission of the pulsar is only seen if its beam points towards the observer.
The emission from a pulsar is therefore perceived as being pulsed although its generation is not. This rather simple geometrical model is commonly referred to as Lighthouse Model and has been widely accepted. However, it does not deliver an explanation of the precise mechanisms behind the emission from pulsars (see below for more details).
Nowadays more than 2000 pulsars are known. They are observed at various wavelengths. Multiwavelength studies have shown that some pulsars are visible only at certain wavelengths while the emission from others can be observed throughout large parts of the electromagnetic spectrum. An example of the latter case is the Crab pulsar which is also the main object of interest in this thesis. Originating from a supernova explosion observed in 1054 A.D. and discovered in 1968, the Crab pulsar has been the central subject of numerous studies. Its pulsed emission is visible throughout the whole electromagnetic spectrum which makes it a key figure in understanding the possible mechanisms of multiwavelength emission from pulsars.
The Crab pulsar is also well known for its radio emission strongly varying on long as well as on short time scales. While long time scale behaviour from a pulsar is usually examined through the use of its average profile (a profile resulting from averaging of a large number of individual pulses resulting from single rotations), short time scale behaviour is examined via its single pulses. The short time scale anomalous behaviour of its radio emission is commonly referred to as Giant Pulses and represents the central topic of this thesis.
While current theoretical approaches place the origin of the radio emission from a pulsar like the Crab near its magnetic poles (Polar Cap Model) as already indicated by the Lighthouse model, its emission at higher frequencies, especially its gamma-ray emission, is assumed to originate further away in the geometrical region surrounding a pulsar which is commonly referred to as a pulsar magnetosphere (Outer Gap Model). Consequently, the respective emission regions are usually assumed not to be connected. However, past observational results from the Crab pulsar represent a contradiction to this assumption.
Radio giant pulses from the Crab pulsar have been observed to emit large amounts of energy on very short time scales implying small emission regions on the surface of the pulsar. Such energetic events might also leave a trace in the gamma-ray emission of the Crab pulsar.
The aim of this thesis is to search for this connection in the form of a correlation study between radio giant pulses and gamma-photons from the Crab pulsar.
To make such a study possible, a multiwavelength observational campaign was organized for which radio observations were independently applied for, coordinated and carried out with the Effelsberg radio telescope and the Westerbork Synthesis Radio Telescope and gamma-ray observations with the Major Atmospheric Imaging Cherenkov telescopes. The corresponding radio and gamma-ray data sets were reduced and the correlation analysis thereafter consisted of three different approaches:
1) The search for a clustering in the differences of the times of arrival of radio giant pulses and gamma-photons;
2) The search for a linear correlation between radio giant pulses and gamma-photons using the Pearson correlation approach;
3) A search for an increase of the gamma-ray flux around occurring radio giant pulses.
In the last part of the correlation study an increase of the number of gamma-photons centered on a radio giant pulse by about 17% (in contrast with the number of gamma-photons when no radio giant pulse occurs in the same time window) was discovered. This finding suggests that a new theoretical approach for the emission of young pulsars like the Crab pulsar, is necessary.