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- Graduate School of Life Sciences (764)
- Theodor-Boveri-Institut für Biowissenschaften (475)
- Physikalisches Institut (206)
- Institut für Informatik (139)
- Institut für Theoretische Physik und Astrophysik (121)
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- Institut für Psychologie (109)
- Institut für Pharmazie und Lebensmittelchemie (100)
- Julius-von-Sachs-Institut für Biowissenschaften (88)
Schriftenreihe
Sonstige beteiligte Institutionen
- Fraunhofer-Institut für Silicatforschung ISC (5)
- Helmholtz Institute for RNA-based Infection Research (HIRI) (5)
- Technische Hochschule Nürnberg Georg Simon Ohm (3)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Raumfahrtsysteme (2)
- EMBL Heidelberg (2)
- Institut für Tierökologie und Tropenbiologie (2)
- Lehrkrankenhaus II. Medizinische Klinik Klinikum Coburg (2)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Universität Belgrad, Serbien (2)
- Universitätsklinikum Münster (2)
ResearcherID
- B-1911-2015 (1)
- B-4606-2017 (1)
- C-2593-2016 (1)
- D-1250-2010 (1)
- I-5818-2014 (1)
- J-8841-2015 (1)
- M-1240-2017 (1)
- N-2030-2015 (1)
- N-3741-2015 (1)
EU-Project number / Contract (GA) number
- 311781 (1)
- 320377 (1)
- EU (FP7/ 2007-2013) (1)
It is well known, that the least squares estimator performs poorly in the presence of multicollinearity. One way to overcome this problem is using biased estimators, e.g. ridge regression estimators. In this study an estimation procedure is proposed based on adding a small quantity omega on some or each regressor. The resulting biased estimator is described in dependence of omega and furthermore it is shown that its mean squared error is smaller than the one corresponding to the least squares estimator in the case of highly correlated regressors.
This dissertation deals with certain business strategies that have become particularly relevant with the spread and development of new information technologies.
The introduction explains the motivation, discusses different ways of defining the term "two-sided market", and briefly summarizes the subsequent essays.
The first essay examines the effects of product information on the pricing and advertising decision of a seller who offers an experience good whose quality is unknown to consumers prior to purchase. It comprises of two theoretical models which differ with respect to their view on advertising. The analysis addresses the question how the availability of additional, potentially misleading information affects the seller's quality-dependent pricing and advertising decision.
In the first model, in which both advertising and product reviews make consumers aware about product existence, the seller's optimal price turns out to be increasing in product quality. However, under certain circumstances, also the seller of a low-quality product prefers setting a high price. Within the given framework, the relationship between product quality and advertising depends on the particular parameter constellation.
In the second model, some consumers are assumed to interpret price as a signal of quality, while others rely on information provided by product reviews. Consequently, and differently from the first part, pricing may indirectly inform consumers about product quality. On the one hand, in spite of asymmetric information on product quality, equilibria exist that feature full information pricing, which is in line with previous results presented by the signaling literature. On the other hand, potentially misleading product reviews may rationalize further pricing patterns. Moreover, assuming that firms can manipulate product reviews by investing in concealed marketing, equilibria can arise in which a high price signals low product quality. However, in these extreme cases, only a few (credulous) consumers consider buying the product.
The second essay deals with trade platforms whose operators not only allow sellers to offer their products to consumers, but also offer products themselves. In this context, the platform operator faces a hold-up problem if he sets classical two-part tariffs (on which previous literature on two-sided markets focussed) as potential competition between the platform operator and sellers reduces platform attractiveness. Since some sellers refuse to join the platform, products whose existence is not known to the platform operator in the first place and which can only be established by better informed sellers may not be offered at all. However, revenue-based fees lower the platform operator's incentives to compete with sellers, increasing platform attractiveness. Therefore, charging such proportional fees can be profitable, what may explain why several trade platforms indeed do charge proportional fees.
The third essay examines settings in which sellers can be active both on an intermediary's trade platform and in other sales channels. It explores the sellers' incentives to set different prices across sales channels within the given setup. Afterwards, it analyzes the intermediary's tariff decision, taking into account the implications on consumers' choice between different sales channels. The analysis particularly focusses on the effects of a no-discrimination rule which several intermediaries impose, but which appears to be controversial from a competition policy view. It identifies under which circumstances the intermediary prefers restricting sellers' pricing decisions by imposing a no-discrimination rule, attaining direct control over the split-up of customers on sales channels. Moreover, it illustrates that such rules can have both positive and negative effects on welfare within the given framework.
This cumulative dissertation is organized as follows:
After the introduction, the second chapter, based on “Asymptotic independence of bivariate order statistics” (2017) by Falk and Wisheckel, is an investigation of the asymptotic dependence behavior of the components of bivariate order statistics. We find that the two components of the order statistics become asymptotically independent for certain combinations of (sequences of) indices that are selected, and it turns out that no further assumptions on the dependence of the two components in the underlying sample are necessary. To establish this, an explicit representation of the conditional distribution of bivariate order statistics is derived.
Chapter 3 is from “Conditional tail independence in archimedean copula models” (2019) by Falk, Padoan and Wisheckel and deals with the conditional distribution of an Archimedean copula, conditioned on one of its components. We show that its tails are independent under minor conditions on the generator function, even if the unconditional tails were dependent. The theoretical findings are underlined by a simulation study and can be generalized to Archimax copulas.
“Generalized pareto copulas: A key to multivariate extremes” (2019) by Falk, Padoan and Wisheckel lead to Chapter 4 where we introduce a nonparametric approach to estimate the probability that a random vector exceeds a fixed threshold if it follows a Generalized Pareto copula. To this end, some theory underlying the concept of Generalized Pareto distributions is presented first, the estimation procedure is tested using a simulation and finally applied to a dataset of air pollution parameters in Milan, Italy, from 2002 until 2017.
The fifth chapter collects some additional results on derivatives of D-norms, in particular a condition for the existence of directional derivatives, and multivariate spacings, specifically an explicit formula for the second-to-last bivariate spacing.
Social life is organized around rules and norms. The present experiments investigate the cognitive architecture of rule violations. To do so, a setting with arbitrary rules that had to be followed or broken was developed, and breaking these rules did not have any negative consequences. Removed from any social influences that might further encourage or hinder the rule breaker, results suggest that simply labeling a behavior as a rule violation comes with specific costs: They are more difficult to plan and come with specific behavioral markers during execution. In essence, rule violations resemble rule negations, but they also trigger additional processes.
The question of what makes rule violations more difficult than rule inversions is the major focus of the remaining experiments. These experiments revealed negative affective consequences of rule violation and rule inversions alike, while rule violations additionally prime authority-related concepts, thus sensitizing towards authority related stimuli.
Next, the question how these burdens of non-conformity can be mitigated was investigated, and the influence of having executed the behavior in question frequently and recently was tested in both negations and rule violations. The burdens of non-conformity can best be reduced by a combination of having violated/negated a rule very frequently and very recently. Transfer from another task, however, could not be identified.
To conclude, a model that accounts for the data that is currently presented is proposed. As a variant of a task switching model, it describes the cognitive processes that were investigated and highlights unique processing steps that rule violations seem to require.
Network planning has come to great importance during the past decades. Today's telecommunication, traffic systems, and logistics would not have been evolved to the current state without careful analysis of the underlying network problems and precise implementation of the results obtained from those examinations. Graphs with node and arc attributes are a very useful tool to model realistic applications, while on the other hand they are well understood in theory. We investigate network design problems which are motivated particularly from applications in communication networks and logistics. Those problems include the search for homogeneous subgraphs in edge labeled graphs where either the total number of labels or the reload cost are subject to optimize. Further, we investigate some variants of the dial a ride problem. On the other hand, we use node and edge upgrade models to deal with the fact that in many cases one prefers to change existing networks rather than implementing a newly computed solution from scratch. We investigate the construction of bottleneck constrained forests under a node upgrade model, as well as several flow cost problems under a edge based upgrade model. All problems are examined within a framework of multi-criteria optimization. Many of the problems can be shown to be NP-hard, with the consequence that, under the widely accepted assumption that P is not equal to NP, there cannot exist efficient algorithms for solving the problems. This motivates the development of approximation algorithms which compute near-optimal solutions with provable performance guarantee in polynomial time.
This work presents excited state investigations on several systems with respect to experimental
spectroscopic work. The majority of projects covers the temporal evolution of
excitations in thin films of organic semiconductor materials. In the first chapters, thinfilm
and interface systems are build from diindeno[1,2,3-cd:1’,2’,3’-lm]perylene (DIP)
and N,N’-bis-(2-ethylhexyl)-dicyanoperylene-3,4:9,10-bis(dicarboximide) (PDIR-CN2)
layers, in the third chapter bulk systems consist of 4,4’,4”-tris[(3-methylphenyl)phenylamino]
triphenylamine (m-MTDATA), 4,7-diphenyl-1,10-phenanthroline (BPhen) and
tris-(2,4,6-trimethyl-3-(pyridin-3-yl)phenyl)borane (3TPYMB). These were investigated
by aggregate-based calculations. Careful selection of methods and incorporation
of geometrical relaxation and environmental effects allows for a precise energetical assignment
of excitations. The biggest issue was a proper description of charge-transfer
excitations, which was resolved by the application of ionization potential tuning on
aggregates. Subsequent characterization of excitations and their interplay condenses
the picture. Therefore, we could assign important features of the experimental spectroscopic
data and explain differences between systems.
The last chapter in this work covers the analysis of single molecule spectroscopy on
methylbismut. This poses different challenges for computations, such as multi-reference
character of low-lying excitations and an intrinsic need for a relativistic description.
We resolved this by combining complete active space self-consistent field based methods
with scalarrelativistic density-functional theory. Thus we were able to confidently
assign the spectroscopic features and explain underlying processes.
Streptococcus pneumoniae (Pneumococcus) is one of the leading causes of childhood meningitis,pneumonia and sepsis. Despite the availability of childhood vaccination programs and antimicrobial agents, childhood pneumococcal meningitis is still a devastating illness with mortality rates among the highest of any cause of bacterial meningitis. Especially in low-income countries, where medical care is less accessible, mortality rates up to 50 % have been reported. In surviving patients, neurological sequelae, including hearing loss, focal neurological deficits and cognitive impairment, is reported in 30 to 50 %. Growing resistance of pneumococci towards conventional antibiotics emphasize the need for effective therapies and development of effective vaccines against Streptococcus pneumoniae. One major virulence factor of Streptococcus pneumoniae is the protein toxin Pneumolysin (PLY). PLY belongs to a family of structurally related toxins, the so-called cholesterol-dependent cytolysins (CDCs). Pneumolysin is produced by almost all clinical isolates of the bacterium. It is expressed during the late log phase of bacterial growth and gets released mainly through spontaneous autolysis of the bacterial cell. After binding to cholesterol in the host cell membranes, oligomerization of up to 50 toxin monomers and rearrangement of the protein structure, PLY forms large pores, leading to cell lysis in higher toxin concentrations. At sub-lytic concentrations, however, PLY mediates several other effects, such as activation of the classic complement pathway and the induction of apoptosis. First experiments with pneumococcal strains, deficient in pneumolysin, showed a reduced virulence of the organism, which emphasizes the contribution of this toxin to the course of bacterial meningitis and the urgent need for the understanding of the multiple mechanisms leading to invasive pneumococcal disease. The aim of this thesis was to shed light on the contribution of pneumolysin to the course of the disease as well as to the mental illness patients are suffering from after recovery from pneumococcal meningitis. Therefore, we firstly investigated the effects of sub-lytic pneumolysin concentrations onto primary mouse neurons, transfected with a GFP construct and imaged with the help of laser scanning confocal microscopy. We discovered two major morphological changes in the dendrites of primary mouse neurons: The formation of focal swellings along the dendrites (so-called varicosities) and the reduction of dendritic spines. To study these effects in a more complex system, closer to the in vivo situation, we established a reproducible method for acute brain slice culturing. With the help of this culturing method, we were able to discover the same morphological changes in dendrites upon challenge with sub-lytic concentrations of pneumolysin. We were able to reverse the seen alterations in dendritic structure with the help of two antagonists of the NMDA receptor, connecting the toxin´s mode of action to a non-physiological stimulation of this subtype of glutamate receptors. The loss of dendritic spines (representing the postsynapse) in our brain slice model could be verified with the help of brain slices from adult mice, suffering from pneumococcal meningitis. By immunohistochemical staining with an antibody against synapsin I, serving as a presynaptic marker, we were able to identify a reduction of synapsin I in the cortex of mice, infected with a pneumococcal strain which is capable of producing pneumolysin. The reduction of synapsin I was higher in these brain slices compared to mice infected with a pneumococcal strain which is not capable of producing pneumolysin, illustrating a clear role for the toxin in the reduction of dendritic spines. The fact that the seen effects weren´t abolished under calcium free conditions clarifies that not only the influx of calcium through the pneumolysin-pore is responsible for the alterations. These findings were further supported by calcium imaging experiments, where an inhibitor of the NMDA receptor was capable of delaying the time point, when the maximum of calcium influx upon PLY challenge was reached. Additionally, we were able to observe the dendritic beadings with the help of immunohistochemistry with an antibody against MAP2, a neuron-specific cytoskeletal protein. These observations also connect pneumolysin´s mode of action to excitotoxicity, as several studies mention the aggregation of MAP2 in dendritic beadings in response to excitotoxic stimuli. All in all, this is the first study connecting pneumolysin to excitotoxic events, which might be a novel chance to tie in other options of treatment for patients suffering from pneumococcal meningitis.
High-harmonic generation provides a powerful source of ultrashort coherent radiation in the XUV and soft-x-ray range, which also allows for the production of attosecond light pulses. Based on the unique properties of this new radiation it is now possible to perform time-resolved spectroscopy at high excitation energies, from which a wide field of seminal discoveries can be expected. Since the exploration and observation of the corresponding processes in turn are accompanied by the desire to control them, this work deals with new ways to manipulate and characterize the properties of these high-harmonic-based soft-x-ray pulses. After introductory remarks this work first presents a comprehensive overview over recent developments and achievements on the field of the control of high-harmonic radiation in order to classify the experimental results obtained in this work. These results include the control of high-harmonic radiation both by temporally shaping and by manipulating the spatial properties of the fundamental laser pulses. In addition, the influence of the conversion medium and of the setup geometry (gas jet, gas-filled hollow fiber) was investigated. Using adaptive temporal pulse shaping of the driving laser pulse by a deformable mirror, this work demonstrates the complete control over the XUV spectrum of high harmonics. Based on a closed-loop optimization setup incorporating an evolutionary algorithm, it is possible to generate arbitrarily shaped spectra of coherent soft-x-ray radiation in a gas-filled hollow fiber. Both the enhancement and suppression of narrowband high-harmonic emission in a selected wavelength region as well as the enhancement of coherent soft-x-ray radiation over a selectable extended range of harmonics (multiple harmonics) can be achieved. Since simulations that do not take into account spatial properties such as propagation effects inside a hollow fiber cannot reproduce the experimentally observed high contrast ratios between adjacent harmonics, a feedback-controlled adaptive two-dimensional spatial pulse shaper was set up to examine selective fiber mode excitation and the optimization of high-harmonic radiation in such a geometry. It is demonstrated that different fiber modes contribute to harmonic generation and make the high extent of control possible. These results resolve the long-standing issue about the controllability of high-harmonic generation in free-focusing geometries such as gas jets as compared to geometries where the laser is guided. Temporal pulse shaping alone is not sufficient. It was possible to extend the cutoff position of harmonics generated in a gas jet, however, selectivity cannot be achieved. The modifications of the high-harmonic spectrum have direct implications for the time structure of the harmonic radiation, including the possibility for temporal pulse shaping on an attosecond time scale. To this end, known methods for the temporal characterization of optical pulses and high-harmonic pulses (determination of the harmonic chirp on femtosecond and attosecond time scales) were introduced. The experimental progress in this work comprises the demonstration of different setups that are in principle suitable to determine the time structure of shaped harmonic pulses based on two-photon two-color ionization cross-correlation techniques. Photoelectron spectra of different noble gases generated by photoionization with high-harmonic radiation reproduce the spin-orbit splitting of the valence electrons and prove the satisfactory resolution of our electron time-of-flight spectrometer for the temporal characterization of high harmonics. Unfortunately no positive results for this part could be achieved so far, which can probably be attributed mainly to the lack of the focusability of the high harmonics and to the low available power of our laser system. However, we have shown that shaping the high-harmonic radiation in the spectral domain must result in modifications of the time structure on an attosecond time scale. Therefore this constitutes the first steps towards building an attosecond pulse shaper in the soft-x-ray domain. Together with the ultrashort time resolution, high harmonics open great possibilities in the field of time-resolved soft-x-ray spectroscopy, for example of inner-shell transitions. Tailored high-harmonic spectra as generated in this work and shaped attosecond pulses will represent a multifunctional toolbox for this kind of research.
Plants exposed to herbivory may defend themselves by attracting the “enemies of their enemies”, a phenomenon called induced indirect defense (IID). In this process, the de novo production and emission of volatile organic compounds (VOC) by the affected plant is activated via a jasmonic acid (JA) dependent signaling cascade. VOC can be very specific for the inducing herbivore as well as for the emitting plant. Carnivores as predatory mites and parasitoid wasps use these substances as prey- or host-finding cues. If the herbivore is parasitized successfully, its development is slowed and thus the damage of the plant is decreased. Additional abiotic stress may modulate the plant’s ability to produce and/or emit herbivore induced VOC. Ultraviolet (UV) radiation can have multiple physiological effects on plants, amongst others the activation of the expression of genes that are also activated during anti-herbivore defense. To investigate UV effects, foils with different UV transmittance were used to manipulate ambient solar radiation. One foil was permeable for the whole solar spectrum including UV radiation whereas the other excluded radiation below a wavelength of 400 nm. Soybean exposed to UV increased concentrations of isorhamnetin- and quercetin-based flavonoids as effective photo-protective compounds in the leaves and showed a reduced growth compared to plants exposed to ambient radiation lacking UV. The altered chemical composition of the leaves had no effect on food choice and performance of herbivorous Spodoptera frugiperda larvae. Photo-protection by flavonoids seems to be efficient to prevent further UV effects on IID as plants of both treatments emitted the same blend of induced VOC and hence females of the parasitoid Cotesia marginiventris did not prefer plants from on of the treatments in the olfactometer. Nitrogen is one important macronutrient for all trophic levels and thus deficiency of this nutrient was expected to affect IID of soybean profoundly. To manipulate N availability for soybean plants hydroponic culture was used. One treatment was cultured in a standard hydroponic solution whereas in the N deficiency treatment in the solution all salts containing N were replaced with N-free salts. In N deficient plants root biomass was increased to allow the plant to forage more efficiently for the nutrient. Despite this morphological adaptation, photosynthetic efficiency as well as leaf N and soluble protein content were reduced significantly in N deficient soybean. The N deficiency was passed on to the third trophic level as herbivores fed with the affected leaves had a reduced body N content on her part and showed a decreased growth but no feeding preference for the superior food. Parasitoids reared in such N deficient herbivores had significant lower pupal weight compared to parasitoids reared in hosts fed with fully fertilized soybean. N deficient plants emitted a quantitatively altered herbivore induced blend. The two terpenes β-Bergamotene and (E,E)-α-Farnesene were emitted in higher amounts whereas (Z)-3-Hexenyl-α-methylbutyrate was emitted in significantly lower amount. Despite this quantitatively modified VOC blend the parasitoids host-searching behavior was not affected. Heavy metals (HM) are proposed to affect various biochemical pathways in plants including defense pathways by production of reactive oxygen species (ROS) in the tissue. The ROS on its part may affect production and release of endogenous JA, an important messenger in defense signaling. In this study maize plants were grown hydroponically and exposed to different increased concentrations of copper and cadmium. Maize seems to be able to exclude the excess HM from the leaves because the HM were found mainly in the roots and only to a minor degree in the shoots of the plants. Despite this exclusion the HM significantly affected uptake of other metal ions into the plant. The excess of the HM in combination with the attenuated uptake of other ions led to a reduced growth of roots and shoots as well as to reduced photosynthetic efficiency. Thus the nutritional value of the plants for the herbivore was lowered either by direct toxic effects of the HM or indirectly by altering plant chemical composition. S. frugiperda larvae fed with leaves exposed to high HM concentrations showed a significantly reduced growth but they did prefer neither control nor HM treated plants in a food-choice assay. Cu had a transient priming effect on JA as pre-exposure to a high excess of Cu led to higher amounts of herbivore induced JA compared to control plants exposed only to standard concentration of Cu. As anticipated the increased JA was followed by an increase in herbivore induced VOC in high-Cu treated plants caused by a increase of the green leaf volatiles (E)-3-Hexenal, (Z)-3-Hexenol and (Z)-3-Hexenylacetat and the terpenes Linalool, (E)-α-Bergamotene, (E)-β-Farnesene, and β-Sesquiphellandrene. Despite these profound changes in herbivore induced VOC the parasitoids host searching behavior was not affected. As described, the abiotic stresses UV, N deficiency and excess HM affected the morphology and physiology of soybean and maize, the performance of the herbivore S. frugiperda and even the performance of the parasitoid C. marginiventris. However the host searching behavior of the parasitoid was not affected even if the herbivore induced VOC blend was altered. Thus parasitoids seem to be a very reliable defender for plants and IID a very robust way of herbivore defense.
The subject of this thesis is the fabrication and characterization of magnetic topological
insulator layers of (V,Bi,Sb)\(_2\)Te\(_3\) exhibiting the quantum anomalous Hall
effect. A major task was the experimental realization of the quantum anomalous
Hall effect, which is only observed in layers with very specific structural,
electronic and magnetic properties. These properties and their influence on the
quantum anomalous Hall effect are analyzed in detail.
First, the optimal conditions for the growth of pure Bi\(_2\)Te\(_3\) and Sb\(_2\)Te\(_3\) crystal
layers and the resulting structural quality are studied. The crystalline quality of
Bi\(_2\)Te\(_3\) improves significantly at higher growth temperatures resulting in a small
mosaicity-tilt and reduced twinning defects. The optimal growth temperature is
determined as 260\(^{\circ}\)C, low enough to avoid desorption while maintaining a high
crystalline quality.
The crystalline quality of Sb\(_2\)Te\(_3\) is less dependent on the growth temperature.
Temperatures below 230\(^{\circ}\)C are necessary to avoid significant material desorption,
though. Especially for the nucleation on Si(111)-H, a low sticking coefficient is
observed preventing the coalescence of islands into a homogeneous layer.
The influence of the substrate type, miscut and annealing sequence on the growth
of Bi\(_2\)Te\(_3\) layers is investigated. The alignment of the layer changes depending on
the miscut angle and annealing sequence: Typically, layer planes align parallel to
the Si(111) planes. This can enhance the twin suppression due to transfer of the
stacking order from the substrate to the layer at step edges, but results in a step
bunched layer morphology. For specific substrate preparations, however, the layer
planes are observed to align parallel to the surface plane. This alignment avoids
displacement at the step edges, which would cause anti-phase domains. This results
in narrow Bragg peaks in XRD rocking curve scans due to long-range order in
the absence of anti-phase domains. Furthermore, the use of rough Fe:InP(111):B
substrates leads to a strong reduction of twinning defects and a significantly reduced
mosaicity-twist due to the smaller lattice mismatch.
Next, the magnetically doped mixed compound V\(_z\)(Bi\(_{1−x}\)Sb\(_x\))\(_{2−z}\)Te\(_3\) is studied in
order to realize the quantum anomalous Hall effect. The addition of V and Bi to
Sb\(_2\)Te\(_3\) leads to efficient nucleation on the Si(111)-H surface and a closed, homogeneous
layer. Magneto-transport measurements of layers reveal a finite anomalous
Hall resistivity significantly below the von Klitzing constant. The observation of
the quantum anomalous Hall effect requires the complete suppression of parasitic
bulklike conduction due to defect induced carriers. This can be achieved by optimizing
the thickness, composition and growth conditions of the layers.
The growth temperature is observed to strongly influence the structural quality.
Elevated temperatures result in bigger islands, improved crystallographic orientation
and reduced twinning. On the other hand, desorption of primarily Sb is
observed, affecting the thickness, composition and reproducibility of the layers.
At 190\(^{\circ}\)C, desorption is avoided enabling precise control of layer thickness and
composition of the quaternary compound while maintaining a high structural
quality.
It is especially important to optimize the Bi/Sb ratio in the (V,Bi,Sb)\(_2\)Te\(_3\) layers,
since by alloying n-type Bi\(_2\)Te\(_3\) and p-type Sb\(_2\)Te\(_3\) charge neutrality is achieved at
a specific mixing ratio. This is necessary to shift the Fermi level into the magnetic
exchange gap and fully suppress the bulk conduction. The Sb content x furthermore
influences the in-plane lattice constant a significantly. This is utilized to
accurately determine x even for thin films below 10 nm thickness required for the
quantum anomalous Hall effect. Furthermore, x strongly influences the surface
morphology: with increasing x the island size decreases and the RMS roughness
increases by up to a factor of 4 between x = 0 and x = 1.
A series of samples with x varied between 0.56-0.95 is grown, while carefully
maintaining a constant thickness of 9 nm and a doping concentration of 2 at.% V.
Magneto-transport measurements reveal the charge neutral point around x = 0.86
at 4.2 K. The maximum of the anomalous Hall resistivity of 0.44 h/e\(^2\) is observed
at x = 0.77 close to charge neutrality. Reducing the measurement temperature
to 50 mK significantly increases the anomalous Hall resistivity. Several samples
in a narrow range of x between 0.76-0.79 show the quantum anomalous Hall effect
with the Hall resistivity reaching the von Klitzing constant and a vanishing
longitudinal resistivity. Having realized the quantum anomalous Hall effect as the
first group in Europe, this breakthrough enabled us to study the electronic and
magnetic properties of the samples in close collaborations with other groups.
In collaboration with the Physikalisch-Technische Bundesanstalt high-precision
measurements were conducted with detailed error analysis yielding a relative de-
viation from the von Klitzing constant of (0.17 \(\pm\) 0.25) * 10\(^{−6}\). This is published
as the smallest, most precise value at that time, proving the high quality of the
provided samples. This result paves the way for the application of magnetic topological
insulators as zero-field resistance standards.
Non-local magneto-transport measurements were conducted at 15 mK in close
collaboration with the transport group in EP3. The results prove that transport
happens through chiral edge channels. The detailed analysis of small anomalies in
transport measurements reveals instabilities in the magnetic phase even at 15 mK.
Their time dependent nature indicates the presence of superparamagnetic contributions
in the nominally ferromagnetic phase.
Next, the influence of the capping layer and the substrate type on structural properties
and the impact on the quantum anomalous Hall effect is investigated. To
this end, a layer was grown on a semi-insulating Fe:InP(111)B substrate using the
previously optimized growth conditions. The crystalline quality is improved significantly
with the mosaicity twist reduced from 5.4\(^{\circ}\) to 1.0\(^{\circ}\). Furthermore, a layer
without protective capping layer was grown on Si and studied after providing sufficient
time for degradation. The uncapped layer on Si shows perfect quantization,
while the layer on InP deviates by about 5%. This may be caused by the higher
crystalline quality, but variations in e.g. Sb content cannot be ruled out as the
cause. Overall, the quantum anomalous Hall effect seems robust against changes
in substrate and capping layer with only little deviations.
Furthermore, the dependence of the quantum anomalous Hall effect on the thickness
of the layers is investigated. Between 5-8 nm thickness the material typically
transitions from a 2D topological insulator with hybridized top and bottom surface
states to a 3D topological insulator. A set of samples with 6 nm, 8 nm, and
9 nm thickness exhibits the quantum anomalous Hall effect, while 5 nm and 15 nm
thick layers show significant bulk contributions. The analysis of the longitudinal
and Hall conductivity during the reversal of magnetization reveals distinct differences
between different thicknesses. The 6 nm thick layer shows scaling consistent
with the integer quantum Hall effect, while the 9 nm thick layer shows scaling expected
for the topological surface states of a 3D topological insulator. The unique
scaling of the 9 nm thick layer is of particular interest as it may be a result of
axion electrodynamics in a 3D topological insulator.
Subsequently, the influence of V doping on the structural and magnetic properties
of the host material is studied systematically. Similarly to Bi alloying, increased
V doping seems to flatten the layer surface significantly. With increasing V content,
Te bonding partners are observed to increase simultaneously in a 2:3 ratio
as expected for V incorporation on group-V sites. The linear contraction of the
in-plane and out-of-plane lattice constants with increasing V doping is quantitatively
consistent with the incorporation of V\(^{3+}\) ions, possibly mixed with V\(^{4+}\)
ions, at the group-V sites. This is consistent with SQUID measurements showing
a magnetization of 1.3 \(\mu_B\) per V ion.
Finally, magnetically doped topological insulator heterostructures are fabricated
and studied in magneto-transport. Trilayer heterostructures with a non-magnetic
(Bi,Sb)\(_2\)Te\(_3\) layer sandwiched between two magnetically doped layers are predicted
to host the axion insulator state if the two magnetic layers are decoupled and in
antiparallel configuration. Magneto-transport measurements of such a trilayer heterostructure
with 7 nm undoped (Bi,Sb)\(_2\)Te\(_3\) between 2 nm thick layers doped with
1.5 at.% V exhibit a zero Hall plateau representing an insulating state. Similar results
in the literature were interpreted as axion insulator state, but in the absence
of a measurement showing the antiparallel magnetic orientation other explanations
for the insulating state cannot be ruled out.
Furthermore, heterostructures including a 2 nm thin, highly V doped layer region
show an anomalous Hall effect of opposite sign compared to previous samples. A
dependency on the thickness and position of the doped layer region is observed,
which indicates that scattering at the interfaces causes contributions to the anomalous
Hall effect of opposite sign compared to bulk scattering effects.
Many interesting phenomena in quantum anomalous Hall insulators as well as axion
insulators are still not unambiguously observed. This includes Majorana bound
states in quantum anomalous Hall insulator/superconductor hybrid systems and
the topological magneto-electric effect in axion insulators. The limited observation
temperature of the quantum anomalous Hall effect of below 1 K could be increased
in 3D topological insulator/magnetic insulator heterostructures which utilize the
magnetic proximity effect.
The main achievement of this thesis is the reproducible growth and characterization
of (V,Bi,Sb)2Te3 layers exhibiting the quantum anomalous Hall effect. The
detailed study of the structural requirements of the quantum anomalous Hall effect
and the observation of the unique axionic scaling behavior in 3D magnetic
topological insulator layers leads to a better understanding of the nature of this
new quantum state. The high-precision measurements of the quantum anomalous
Hall effect reporting the smallest deviation from the von Klitzing constant
are an important step towards the realization of a zero-field quantum resistance
standard.
Abstract
Tobacco addiction is considered as a chronic relapsing disorder, characterized by compul-sive drug seeking and intake. Learning processes are stressed to account for the situational-specific expression of core features of the disorder, e.g., craving for drug, tolerance and ex-cessive consumption. According to incentive theories, smoke conditioned stimuli are hy-pothesized to be appetitive in nature, promoting craving, approach and consummatory be-havior. Commonly, smoking cues are treated as simple excitatory conditioned stimuli formed by a close and reliable overlap with the drug effect. However, the smoking ritual comprises a multitude of stimuli which may give rise to different forms of learning and con-ditioned responses partially opposing each other. Previous research suggests the predictive content and the temporal proximity of smoking stimuli to the drug effect as important de-terminants of cue reactivity. In contrast to stimuli related to the preparatory stage of smok-ing and the start of consumption (BEGIN stimuli), stimuli from the terminal stage of smok-ing (END stimuli) apparently lack high cue reactivity. Several lines of evidence suggest the poor cue properties of terminal stimuli to be related to their signaling of poor smoke availa-bility. Indeed, cue reactivity is commonly decreased when smoking appears to be unavaila-ble. Moreover, the learning literature suggests that stimuli predictive for the non-availability of reward may acquire the capacity to modulate or oppose the responses of ex-citatory conditioned stimuli. Therefore, the aim of the present thesis was to enhance our knowledge of stimulus control in human drug addiction and incentive motivation by running a series of conditioning studies with smoke intake and monetary reward as reinforcer. Sub-jective report and physiological measures of motivational valence and consummatory re-sponse tendencies were used as dependent variables.
The first experiment of this thesis used a differential conditioning paradigm to reveal evi-dence for the conditioning of preparatory and consummatory responses to a CS+ for smok-ing. Neutral pictograms served as CSs and single puffs on a cigarette as US. In line with the predictions of incentive theories, the excitatory CS+ for smoking acquired the ability to evoke an appetitive conditioned response, as indicated by enhanced activity of the M. zy-gomaticus major. Moreover, anticipation of puffing on the cigarette increased the activity of the M. orbicularis oris (lip muscle), indicating the activation of consummatory response tendencies. Finally, the CS+ evoked stronger skin conductance responses, indicative of in-creased autonomic arousal and orienting in preparation for action. In contrast, the rating data were apparently unaffected by the experimental contingency. In sum, the physiological data provide support for the notion that excitatory smoke conditioning gives rise to appeti-tive and consummatory conditioned responses, which may at least partially contribute to the maintenance of tobacco addiction.
The second experiment of this thesis adapted the conditioning protocol of the first study to probe the functional significance of terminal stimuli in the control of addictive behavior. This study manipulated the predictive relationship of BEGIN and END stimuli to smoke rein-forcement to provide further support for the differential reactivity to both stimuli and the retarded (i.e., delayed) conditioning of END stimuli. Overall, the results of the first study of this thesis were conceptually replicated as the association of a BEGIN stimulus with smoke intake resulted in the acquisition of appetitive and consummatory physiological responses. Importantly, the results revealed evidence for a retarded excitatory conditioning of END stimuli. Thus, pairing of an END stimulus with smoke intake failed to produce a conditioned discrimination in terms of motivational valence and autonomic arousal, as indicated by the activity of the M. corrugator supercilii and the skin conductance data. These results provide further support for the notion that END stimuli may be weak cues for smoking. Moreover, in light of the results of the first study of this thesis, the retarded excitatory conditioning of terminal stimuli may be suggestive of an inhibitory response component, which may be re-lated to their signaling of poor smoke availability. In sum, these results add to a growing body of data, which suggest that the expression of cue reactivity may be modulated by the temporal proximity and the availability of the drug effect.
The aim of the third study of this thesis was to provide “proof of concept” for an inhibi-tory conditioning notion of terminal stimuli. In this analog study BEGIN and END stimuli were emulated as discriminative SD and S for monetary reward. During an acquisition phase conditioned inhibition was established to the S predictive of the non-availability of re-ward. Subsequently a retardation test was used to substantiate conditioned inhibition. In this test, excitatory conditioning of the previous S was compared to the excitatory condi-tioning of a novel control stimulus. Importantly, the results revealed evidence for reward conditioned inhibition as indicated by the retarded acquisition of subjective (pleasure and reward expectancy) and physiological (skin conductance and activity of the M. orbicularis oculi) responses. In sum, these results provide support for the notion that stimuli predictive for the non-availability of reward may acquire the capacity to oppose the responses of ex-citatory conditioned stimuli. Thus, future research may benefit from the consideration of inhibitory conditioning processes in drug addiction, which may be of theoretical, methodo-logical and clinical importance.
In sum, the present thesis revealed evidence for 1) an appetitive nature of excitatory condi-tioned smoking cues, 2) the dependency of this learning process on the temporal position of the conditioned stimuli in the intake ritual and 3) the acquisition of conditioned inhibition by a stimulus predictive for the non-availability of reward, as evident in retarded excitatory conditioning. Overall, these studies made a novel contribution to the field of human drug addiction and incentive motivation and provided valuable suggestions for further research.
In the course of the growth of the Internet and due to increasing availability of data, over the last two decades, the field of network science has established itself as an own area of research. With quantitative scientists from computer science, mathematics, and physics working on datasets from biology, economics, sociology, political sciences, and many others, network science serves as a paradigm for interdisciplinary research.
One of the major goals in network science is to unravel the relationship between topological graph structure and a network’s function. As evidence suggests, systems from the same fields, i.e. with similar function, tend to exhibit similar structure. However, it is still vague whether a similar graph structure automatically implies likewise function. This dissertation aims at helping to bridge this gap, while particularly focusing on the role of triadic structures.
After a general introduction to the main concepts of network science, existing work devoted to the relevance of triadic substructures is reviewed. A major challenge in modeling triadic structure is the fact that not all three-node subgraphs can be specified independently
of each other, as pairs of nodes may participate in multiple of those triadic subgraphs.
In order to overcome this obstacle, we suggest a novel class of generative network models based on so called Steiner triple systems. The latter are partitions of a graph’s vertices into pair-disjoint triples (Steiner triples). Thus, the configurations on Steiner triples can be specified independently of each other without overdetermining the network’s link
structure.
Subsequently, we investigate the most basic realization of this new class of models. We call it the triadic random graph model (TRGM). The TRGM is parametrized by a probability distribution over all possible triadic subgraph patterns. In order to generate a network instantiation of the model, for all Steiner triples in the system, a pattern is drawn from the distribution and adjusted randomly on the Steiner triple. We calculate the degree distribution of the TRGM analytically and find it to be similar to a Poissonian distribution. Furthermore, it is shown that TRGMs possess non-trivial triadic structure. We discover inevitable correlations in the abundance of certain triadic subgraph
patterns which should be taken into account when attributing functional relevance to particular motifs – patterns which occur significantly more frequently than expected at random. Beyond, the strong impact of the probability distributions on the Steiner triples on the occurrence of triadic subgraphs over the whole network is demonstrated. This interdependence allows us to design ensembles of networks with predefined triadic substructure. Hence, TRGMs help to overcome the lack of generative models needed for assessing the relevance of triadic structure.
We further investigate whether motifs occur homogeneously or heterogeneously distributed over a graph. Therefore, we study triadic subgraph structures in each node’s neighborhood individually. In order to quantitatively measure structure from an individual node’s perspective, we introduce an algorithm for node-specific pattern mining for both directed unsigned, and undirected signed networks. Analyzing real-world datasets, we find that there are networks in which motifs are distributed highly heterogeneously, bound to the proximity of only very few nodes. Moreover, we observe indication for the potential sensitivity of biological systems to a targeted removal of these critical vertices. In addition, we study whole graphs with respect to the homogeneity and homophily of their node-specific triadic structure. The former describes the similarity of subgraph distributions in the neighborhoods of individual vertices. The latter quantifies whether connected vertices
are structurally more similar than non-connected ones. We discover these features to be characteristic for the networks’ origins. Moreover, clustering the vertices of graphs regarding their triadic structure, we investigate structural groups in the neural network of C. elegans, the international airport-connection network, and the global network of diplomatic sentiments between countries. For the latter we find evidence for the instability of triangles considered socially unbalanced according to sociological theories.
Finally, we utilize our TRGM to explore ensembles of networks with similar triadic substructure in terms of the evolution of dynamical processes acting on their nodes. Focusing on oscillators, coupled along the graphs’ edges, we observe that certain triad motifs impose a clear signature on the systems’ dynamics, even when embedded in a larger
network structure.
Emotional shifts are often a fundamental part of the narrative experience and engrained into the schematic structures of stories. Recent theoretical work suggests that these shifts are key for narrative influence and are interconnected with transportation, a known mechanism of narrative effects. Empirical research examining this proposition is still scarce, inconclusive, and lacking measures that assess the experience of emotional shifts throughout a narrative to explain effects. This thesis aims to contribute to this research lacuna and investigates the link between emotional shifts, transportation, and story-consistent outcomes using different methods to measure emotional shifts in the moment they occur (Manuscript #1 and #2), and using various narrative stimuli (audiovisual, written, auditive).
Manuscript #1 uses real-time-response (RTR) measurement to examine the relationship of valence shifts experienced during film viewing with transportation and post-exposure self-reported emotional flow. Manuscript #2 reports a pilot study and two experiments in which a self-probed emotional retrospection task is used to measure the number and intensity of emotional shifts during reading. I investigate the effect of reviews on transportation, the link between transportation and emotional shifts, and their respective associations with story-consistent attitudes, social sharing intentions, and donation behavior. In Manuscript #3, narrative structures are manipulated. Two experiments examine the effects of audio stories with shifting (positive-negative-positive) vs. positive-only emotional trajectories on the experience of happiness- and sadness-shifts, transportation, and post-exposure emotional flow.
Transportation was positively linked to valence shifts (M#1), and the number and intensity of emotional shifts (M#2), and emotional flow (M#1, M#3). In M#3, transportation was predicted by shifts in happiness, but not sadness. Emotional flow was linked to shifts in happiness, sadness, and RTR valence (M#1, M#3). Emotional shifts and transportation were associated with social sharing intentions, but only transportation was linked to some story-consistent attitudes (affective attitudes in particular).
This thesis contributes to the understanding of the labor market effects of international trade, with a focus on the effects on wage and earnings inequality. The thesis draws on high-quality micro data and applies modern econometric techniques and theoretical concepts to improve our understanding of the distributional effects of international trade. The thesis focuses on the effects in Germany and the USA.
Identification of human host cell factors involved in \(Staphylococcus\) \(aureus\) 6850 infection
(2015)
Staphylococcus aureus is both a human commensal and a pathogen. 20%-30% of all individuals are permanently or occasionally carriers of S. aureus without any symptoms. In contrast to this, S. aureus can cause life-threatening diseases e.g. endocarditis, osteomyelitis or sepsis. Here, the increase in antibiotic resistances makes it more and more difficult to treat these infections and hence the number of fatalities rises constantly. Since the pharmaceutical industry has no fundamentally new antibiotics in their pipeline, it is essential to better understand the interplay between S. aureus and the human host cell in order to find new, innovative treatment options.
In this study, a RNA interference based whole genome pool screen was performed to identify human proteins, which play a role during S. aureus infections. Since 1,600 invasion and 2,271 cell death linked factors were enriched at least 2 fold, the big challenge was to filter out the important ones. Here, a STRING pathway analysis proved to be the best option. Subsequently, the identified hits were validated with the help of inhibitors and a second, individualised small interfering RNA-based screen.
In the course of this work two important steps were identified, that are critical for host cell death: the first is bacterial invasion, the second phagosomal escape. The second step is obligatory for intracellular bacterial replication and subsequent host cell death. Invasion in turn is determining for all following events. Accordingly, the effect of the identified factors towards these two crucial steps was determined. Under screening conditions, escape was indirectly measured via intracellular replication. Three inhibitors (JNKII, Methyl-beta-cyclodeytrin, 9-Phenantrol) could be identified for the invasion process. In addition, siRNAs targeted against 16 different genes (including CAPN2, CAPN4 and PIK3CG), could significantly reduce bacterial invasion. Seven siRNAs (FPR2, CAPN4, JUN, LYN, HRAS, AKT1, ITGAM) were able to inhibit intracellular replication significantly. Further studies showed that the IP3 receptor inhibitor 2-APB, the calpain inhibitor calpeptin and the proteasome inhibitor MG-132 are able to prevent phagosomal escape and as a consequence intracellular replication and host cell death.
In this context the role of calpains, calcium, the proteasome and the mitochondrial membrane potential was further investigated in cell culture. Here, an antagonistic behaviour of calpain 1 and 2 during bacterial invasion was observed. Intracellular calcium signalling plays a major role, since its inhibition protects host cells from death. Beside this, the loss of mitochondrial membrane potential is characteristic for S. aureus infection but not responsible for host cell death. The reduction of membrane potential can be significantly diminished by the inhibition of the mitochondrial Na+/Ca2+ exchanger.
All together, this work shows that human host cells massively contribute to different steps in S. aureus infection rather than being simply killed by bacterial pore-forming toxins. Various individual host cell factors were identified, which contribute either to invasion or to phagosomal escape and therefore to S. aureus induced cytotoxicity. Finally, several inhibitors of S. aureus infection were identified. One of them, 2-APB, was already tested in a sepsis mouse model and reduced bacterial load of kidneys.
Thus, this study shows valuable evidence for novel treatment options against S. aureus infections, based on the manipulation of host cell signalling cascades.
CRISPR-Cas systems are highly diverse and canonically function as prokaryotic adaptive immune systems. The canonical resistance mechanism relies on spacers that are complementary to the invaders' nucleic acids. By accidental incorporation or other mechanisms, prokaryotes can also acquire self-targeting spacers that are complementary to their own genome. As self-targeting commonly leads to lethal autoimmunity, the existence of self-targeting spacers poses a paradox. In Chapter 1, we provide an overview of the prevalence of self-targeting spacers, summarize how they can be incorporated, and which means can be employed by the host to evade lethal self-targeting. In addition, we outline alternative functions of CRISPR-Cas systems that are associated with self-targeting spacers. Whether CRISPR-Cas systems can efficiently target their own genome depends heavily on the presence of protospacer adjacent motifs (PAMs) next to the target region. In Chapter 2, we developed a method to determine PAM requirements. Thereby, we specifically focused on type I systems that engage multi-protein complexes, which are challenging to assess. Using the cell-free transcription-translation (TXTL) system, we developed an enrichment-based binding assay and validated its reliability by examining the well-known PAM requirements of the E. coli type I-E system. In Chapter 3, we applied the TXTL-based PAM assay to assess 16 additional CRISPR-Cas systems. These 16 systems included three CRISPR-Cas associated transposons (CASTs). CASTs are recently discovered transposons that employ CRISPR-Cas systems in a non-canonical function for the directed integration of the transposon. To further characterize CASTs in TXTL outside their PAM requirements, we reconstituted the transposition of CASTs in TXTL. In Chapter 4, we turned to non-canonical self-targeting CRISPR-Cas systems, which were already discussed in Chapter 1. While investigating how the plant pathogen Xanthomonas albilineans survives self-targeting by its two endogenous CRISPR-Cas systems, we identified multiple putative anti-CRISPR proteins (Acrs) in the genome of X. albilineans. Two of the Acrs, named AcrIC11 and AcrIF12Xal, inhibited degradation by their respective CRISPR-Cas systems but still retained Cascade-binding ability, and appear responsible for the lack of autoimmunity in X. albilineans. In summary, we developed new technologies that eased the investigation of non-canonical multi-component systems and, if applied to additional systems, might reveal unique properties that could be implemented in new CRISPR-Cas based tools.
Driving simulators are powerful research tools. Countless simulator studies have contributed to traffic safety over the last decades. Constant improvements in simulator technology call for a measureable scale to assess driving simulators with regard to their utility in human factors research. A promising psychological construct to do so is presence. It is commonly defined as the feeling of being located in a remote or virtual environment that seems to be real. Another aspect of presence describes the ability to act there successfully.
The main aim of this thesis is to develop a presence model dedicated to the application in driving simulators. Established models have been combined and extended in order to gain a comprehensive model of presence that allows understanding its emergence and deriving recommendations on how to design or improve driving simulators. The five studies presented in this thesis investigate specific postulated model components and their interactions. All studies deal with motorcycling or a motorcycle riding simulator as exemplary field of application.
The first study used a speed estimation task to investigate the contribution of different sensory cues to presence. While visualization plays a particularly important role, further improvements could be achieved by adding more consistent sensory stimuli to the virtual environment. Auditory, proprioceptive and vestibular cues have been subject to investigation. In the second study, the speed production method was applied. It confirmed the positive contribution of action to presence as predicted by psychocybernetic models. The third study dealt with the effect of training on presence. Hence, no positive effect was observed. The fourth study aimed at replicating previous findings on sensory fidelity and diversity in a more complex riding situation than only longitudinal vehicle control. The riders had to cross an unexpectedly appearing deep pit with the virtual motorcycle. The contribution of more consistent sensory stimulation on presence was successfully shown in this scenario, too. The final study was a real riding experiment that delivered reference values for the speed estimation capabilities of motorcycle riders. Besides higher variations in the simulator data, the general speed estimation performance was on a comparable level. Different measures, such as subjective ratings, behavioral responses, performance, and physiological reactions, have been applied as presence indicators.
These studies’ findings deliver evidence for the meaningful application of the proposed presence model in driving simulator settings. The results suggest that presence can be interpreted as a quality measure for perception in virtual environments. In line with psychocybernetic models, taking action, which is seen as controlling perception, enhances this quality even further. Describing the psychological construct of presence in a theoretical framework that takes the diversity of perception and action in driving simulator settings into account closes a gap in traffic psychological research.
Landslide susceptibility assessment in the Chiconquiaco Mountain Range area, Veracruz (Mexico)
(2022)
In Mexico, numerous landslides occur each year and Veracruz represents the state with the third highest number of events. Especially the Chiconquiaco Mountain Range, located in the central part of Veracruz, is highly affected by landslides and no detailed information on the spatial distribution of existing landslides or future occurrences is available. This leaves the local population exposed to an unknown threat and unable to react appropriately to this hazard or to consider the potential landslide occurrence in future planning processes.
Thus, the overall objective of the present study is to provide a comprehensive assessment of the landslide situation in the Chiconquiaco Mountain Range area. Here, the combination of a site-specific and a regional approach enables to investigate the causes, triggers, and process types as well as to model the landslide susceptibility for the entire study area.
For the site-specific approach, the focus lies on characterizing the Capulín landslide, which represents one of the largest mass movements in the area. In this context, the task is to develop a multi-methodological concept, which concentrates on cost-effective, flexible and non-invasive methods. This approach shows that the applied methods complement each other very well and their combination allows for a detailed characterization of the landslide.
The analyses revealed that the Capulín landslide is a complex mass movement type. It comprises rotational movement in the upper parts and translational movement in the lower areas, as well as flow processes at the flank and foot area and therefore, is classified as a compound slide-flow according to Cruden and Varnes (1996). Furthermore, the investigations show that the Capulín landslide represents a reactivation of a former process. This is an important new information, especially with regard to the other landslides identified in the study area. Both the road reconstructed after the landslide, which runs through the landslide mass, and the stream causing erosion processes at the foot of the landslide severely affect the stability of the landslide, making it highly susceptible to future reactivation processes. This is particularly important as the landslide is located only few hundred meters from the village El Capulín and an extension of the landslide area could cause severe damage.
The next step in the landslide assessment consists of integrating the data obtained in the site-specific approach into the regional analysis. Here, the focus lies on transferring the generated data to the entire study area. The developed methodological concept yields applicable results, which is supported by different validation approaches.
The susceptibility modeling as well as the landslide inventory reveal that the highest probability of landslides occurrence is related to the areas with moderate slopes covered by slope deposits. These slope deposits comprise material from old mass movements and erosion processes and are highly susceptible to landslides. The results give new insights into the landslide situation in the Chiconquiaco Mountain Range area, since previously landslide occurrence was related to steep slopes of basalt and andesite.
The susceptibility map is a contribution to a better assessment of the landslide situation in the study area and simultaneously proves that it is crucial to include specific characteristics of the respective area into the modeling process, otherwise it is possible that the local conditions will not be represented correctly.
The explosive expansion of the population of the Metropolitan Region of Curitiba raised a high increase in the demand for water resources and the uncontrolled settlement poses a large problem for the environment. The greatest menace to the water supply sources of this region is the urban occupation (invasion) into the areas that contain these resources. This occupation continues with its slow, silent, although progressive march, threatening precious and irreplaceable resources. From this background an area in the direct vicinity north-east of Curitiba has been studied. In this area a drinking water reservoir was constructed in the time that the study took place in the Iraí-basin. The Iraí-reservoir even though an area around the lake will be protected may be polluted by two tributaries which flow through more or less densely populated areas. In the study area on the same time wells have been constructed. To estimate what the impact may be from the possibly polluted reservoir on the aquifer a groundwater flow model has been constructed. On the same time to estimate the water balance and the spatial distribution of pollution vulnerability the hydrological model MODBIL has been used. Also other methods have been used to estimate the pollution vulnerability to make a comparison and because none of the methods takes every aspect into account. With the calibrated groundwater flow model for the situation before the construction of the Iraí-reservoir and after its construction, simple particle tracking transport models are constructed as scenarios how the water of the aquifer may be influenced.
In reconstructive and plastic surgery, there exists a growing demand of adequate tissue implants, since currently available strategies for autologous transplantation are limited by complications including transplant failure and donor site morbidity. By developing in vitro and in vivo autologous substitutes for defective tissue sites, adipose tissue engineering can address these challenges, although there are several obstacles to overcome. One of the major limitations is the sufficient vascularization of in vitro engineered large constructs that remains crucial and demanding for functional tissues. Decellularized jejunal segments may represent a suitable scaffolding system with preexisting capillary structures that can be repopulated with human microvascular endothelial cells (hMVECs), and a luminal matrix applicable for the adipogenic differentiation of human adipose-derived stem cells (hASCs). Hence, co-culture of these cells in jejunal segments, utilizing a custom-made bioreactor system, was characterized in terms of vascularization and adipose tissue development. Substantial adipogenesis of hASCs was demonstrated within the jejunal lumen in contrast to non-induced controls, and the increase of key adipogenic markers was verified over time upon induction. The development of major extracellular matrix components of mature adipose tissue, such as laminin and collagen IV, was shown within the scaffold in induced samples. Successful reseeding of the vascular network with hMVECs was demonstrated in long-term culture and co-localization of vascular structures and adipogenically differentiated hASCs was observed. Therefore, these results represent a novel approach for in vitro engineering of vascularized adipose tissue constructs that warrants further investigations in preclinical studies.
Another still existing obstacle in adipose tissue engineering is the insufficient knowledge about the applied cells, for instance the understanding of how cells can be optimally expanded and differentiated for successful engineering of tissue transplants. Even though hASCs can be easily isolated from liposuction of abdominal fat depots, yielding low donor site morbidity, huge numbers of cells are required to entirely seed complex and large 3D matrices or scaffolds. Thus, cells need to be large-scale expanded in vitro on the premise of not losing their differentiation capacity caused by replicative aging. Accordingly, an improved differentiation of hASCs in adipose tissue engineering approaches remains still desirable since most engineered constructs exhibit an inhomogeneous differentiation pattern. For mesenchymal stem cells (MSCs), it has been shown that growth factor application can lead to a significant improvement of both proliferation and differentiation capacity. Especially basic fibroblast growth factor (bFGF) represents a potent mitogen for MSCs, while maintaining or even promoting their osteogenic, chondrogenic and adipogenic differentiation potential. As there are currently different contradictory information present in literature about the applied bFGF concentration and the explicit effect of bFGF on ASC differentiation, here, the effect of bFGF on hASC proliferation and differentiation capacity was investigated at different concentrations and time points in 2D culture. Preculture of hASCs with bFGF prior to adipogenic induction showed a remarkable effect, whereas administration of bFGF during culture did not improve adipogenic differentiation capacity. Furthermore, the observations indicated as mode of action an impact of this preculture on cell proliferation capacity, resulting in increased cellular density at the time of adipogenic induction. The difference in cell density at this time point appeared to be pivotal for increased adipogenic capacity of the cells, which was confirmed in a further experiment employing different seeding densities. Interestingly, furthermore, the obtained results suggested a cell-cell contact-mediated mechanism positively influencing adipogenic differentiation. As a consequence, subsequently, studies were conducted focusing on intercellular communication of these cells, which has hardly been investigated to date.
Despite the multitude of literature on the differentiation capacity of ASCs, little is reported about the physiological properties contributing to and controlling the process of lineage differentiation. Direct intercellular communication between adjacent cells via gap junctions has been shown to modulate differentiation processes in other cell types, with connexin 43 (Cx43) being the most abundant isoform of the gap junction-forming connexins. Thus, in the present study we focused on the expression of Cx43 and gap junctional intercellular communication (GJIC) in hASCs, and its significance for adipogenic differentiation of these cells. Cx43 expression in hASCs was demonstrated histologically and on the gene and protein expression level and was shown to be greatly positively influenced by cell seeding density. Functionality of gap junctions was proven by dye transfer analysis in growth medium. Adipogenic differentiation of hASCs was shown to be also distinctly elevated at higher cell seeding densities. Inhibition of GJIC by 18α-glycyrrhetinic acid significantly compromised adipogenic differentiation, as demonstrated by histology, triglyceride quantification, and adipogenic marker gene expression. Flow cytometry analysis showed a lower proportion of cells undergoing adipogenesis when GJIC was inhibited, further indicating the importance of GJIC in the differentiation process. Altogether, these results demonstrate the impact of direct cell-cell communication via gap junctions on the adipogenic differentiation process of hASCs and may contribute to further integrate direct intercellular crosstalk in rationales for tissue engineering approaches.
Lack of acid sphingomyelinase (ASM) activity, either through genetic deficiency or through pharmacological inhibition, is linked with increased activity and frequency of Foxp3+ regulatory T cells (Treg) among cluster of differentiation (CD) 4+ T cells in mice in vivo and in vitro1. Thus, pharmacological blockade of ASM activity, which catalyzes the cleavage of sphingomyelin to ceramide and phosphocholine, might be used as a new therapeutic mechanism to correct numeric and/ or functional Treg de-ficiencies in diseases like multiple sclerosis or major depression.
In the present study, the effect of pharmacological inhibition of ASM in humans, in vitro and in vivo, was analyzed. In the in vitro experiments, peripheral blood mono-nuclear cells (PBMC) of healthy human blood donors were treated with two widely prescribed antidepressants with high (sertraline, Ser) or low (citalopram, Cit) capaci-ty to inhibit ASM activity. Similar to the findings in mice an increase in the frequency of Treg among human CD4+ T cells upon inhibition of ASM activity was observed. For the analysis in vivo, a prospective study of the composition of the CD4+ T cell com-partment of patients treated for major depression was done. The data show that pharmacological inhibition of ASM activity was superior to antidepressants with little or no ASM-inhibitory activity in increasing CD45RA- CD25high effector Treg (efTreg) frequencies among CD4+ T cells to normal levels. Independently of ASM inhibition, correlating the data with the clinical response, i.e. improvement of the Hamilton rat-ing scale for depression (HAMD) by at least 50 per cent (%) after four weeks of treatment, it was found that an increase in efTreg frequencies among CD4+ cells dur-ing the first week of treatment identified patients with a clinical response.
Regarding the underlying mechanism, it could be found that the positive effect of ASM inhibition on Treg required CD28 co-stimulation suggesting that enhanced CD28 co-stimulation was the driver of the observed increase in the frequency of Treg among human CD4+ T cells. Inhibition of ASM activity was further associated with changes in the expression and shuttling of CTLA-4, a key inhibitory molecule ex-pressed by Treg, between cellular compartments but the suppressive activity of CTLA-4 through its transendocytosis activity was unaffected by the inhibition of ASM activity.
In summary, the frequency of (effector) Treg among CD4+ T cells in mice and in hu-mans is increased after inhibition of ASM activity suggesting that ASM blockade might beneficially modulate autoimmune diseases and depression-promoting in-flammation.
Deregulated MYC expression contributes to cellular transformation as well as progression and
maintenance of human tumours. Interestingly, in the absence of additional genetic alterations,
potentially oncogenic levels of MYC sensitise cells to a variety of apoptotic stimuli. Hence, MYC-induced
apoptosis has long been recognised as a major barrier against cancer development.
However, it is largely unknown how cells discriminate physiological from supraphysiological levels
of MYC in order to execute an appropriate biological response.
The experiments described in this thesis demonstrate that induction of apoptosis in mammary
epithelial cells depends on the repressive actions of MYC/MIZ1 complexes. Analysis of gene
expression profiles and ChIP-sequencing experiments reveals that high levels of MYC are required
to invade low-affinity binding sites and repress target genes of the serum response factor SRF.
These genes are involved in cytoskeletal dynamics as well as cell adhesion processes and are likely
needed to transmit survival signals to the AKT kinase. Restoration of SRF activity rescues MIZ1-
dependent gene repression and increases AKT phosphorylation and downstream function.
Collectively, these results indicate that association with MIZ1 leads to an expansion of MYC’s
transcriptional response that allows sensing of oncogenic levels, which points towards a tumour-suppressive
role for the MYC/MIZ1 complex in epithelial cells.
In Tissue Engineering, scaffolds composed of natural polymers often show a distinct lack in stability. The natural polymer gelatin is highly fragile under physiological conditions, nevertheless displaying a broad variety of favorable properties. The aim of this study was to fabricate electrospun gelatin nanofibers, in situ functionalized and stabilized during the spinning process with highly reactive star polymer NCO-sP(EO-stat-PO) (“sPEG”). A spinning protocol for homogenous, non-beaded, 500 to 1000 nm thick nanofibers from different ratios of gelatin and sPEG was successfully established. Fibers were subsequently characterized and tested with SEM imaging, tensile tests, water incubation, FTIR, EDX, and cell culture. It was shown that adding sPEG during the spinning process leads to an increase in visible fiber crosslinking, mechanical stability, and stability in water. The nanofibers were further shown to be biocompatible in cell culture with RAW 264.7 macrophages.
Biased cognitive processes are very likely involved in the maintenance of fears and anxiety. One of such cognitive processes is the perceived relationship between fear-relevant stimuli and aversive consequences. If this relationship is perceived although objective contingencies have been random, it is called an (a posteriori) illusory correlation. If this relationship is overestimated before objective contingencies are experienced, it is called an (a priori) expectancy bias. Previous investigations showed that fear-relevant illusory correlations exist, but very few is known about how and why this cognitive bias develops. In the present dissertation thesis, a model is proposed based on a review of the literature on fear-relevant illusory correlations. This model describes how psychological factors might have an influence on fear and illusory correlations. Several critical implications of the model were tested in four experiments.
Experiment 1 tested the hypothesis that people do not only overestimate the proportion of aversive consequences (startle sounds) following emotionally negative stimuli (pictures of mutilations) relative to neutral stimuli (pictures of household objects), but also following highly arousing positive stimuli (pictures of erotic scenes), because arousal might be an important determinant of illusory correlations. The result was a significant expectancy bias for negative stimuli and a much smaller expectancy bias for positive stimuli. Unexpectedly, expectancy bias was restricted to women. An a posteriori illusory correlation was not found overall, but only in those participants who perceived the aversive consequences following negative stimuli as particularly aversive.
Experiment 2 tested the same hypothesis as experiment 1 using a paradigm that evoked distinct basic emotions (pictures inducing fear, anger, disgust or happiness). Only negative emotions resulted in illusory correlations with aversive outcomes (startle sounds), especially the emotions of fear and disgust. As in experiment 1, the extent of these illusory correlations was correlated with the perceived aversiveness of aversive outcomes. Moreover, only women overestimated the proportion of aversive outcomes during pictures that evoked fear, anger or disgust.
Experiment 3 used functional Magnetic Resonance Imaging (fMRI) to measure biased brain activity in female spider phobics during an illusory correlation paradigm. Both spider phobics and healthy controls expected more aversive outcomes (painful electrical shocks) following pictures of spiders than following neutral control stimuli (pictures of mushrooms). Spider phobics but not healthy controls overestimated the proportion of aversive outcomes following pictures of spiders in a trial-by-trial memory task. This a posteriori illusory correlation was correlated with enhanced shock aversiveness and activity in primary sensory-motor cortex in phobic participants. Moreover, spider phobics’ brain activity in the left dorsolateral prefrontal cortex was elevated in response to spider images. This activity also predicted the extent of the illusory correlation, which supports the theory that executive and attentional resources play an important role in the maintenance of illusory correlations.
Experiment 4 tested the hypothesis that the enhanced aversiveness of some outcomes would be sufficient to causally induce an illusory correlation. Neutral images (colored geometric figures) were paired with differently aversive outcomes (three startle sounds varying in intensity). Participants developed an illusory correlation between those images, which predicted the most aversive sound and this sound, which means that this association was overestimated relative to the other associations. The extent of the illusory correlation was positively correlated with participants’ self-reported anxiety. The results imply that the previously found relationship between illusory correlations and outcome aversiveness might reflect a causal impact of outcome aversiveness or salience on illusory correlations.
In sum, the conducted experiments indicate that illusory correlations between fear-relevant stimuli and aversive consequences might persist – among other factors - because of an enhanced aversiveness or salience of aversive consequences following feared stimuli. This assumption is based on correlational findings, a neural measure of outcome perception and a causal influence of outcome aversiveness on illusory correlations. Implications of these findings were integrated into a model of fear-relevant illusory correlations and potential implications are discussed. Future investigations should further elucidate the role of executive functions and gender effects. Moreover, the trial-by-trial assessment of illusory correlations is recommended to increase reliability of the concept. From a clinical perspective, the down-regulation of aversive experiences and the allocation of attention to non-aversive experiences might help to cure anxiety and cognitive bias.
This thesis describes the studies of topological superconductivity, which is predicted to
emerge when pair correlations are induced into the surface states of 2D and 3D topolog-
ical insulators (TIs). In this regard, experiments have been designed to investigate the
theoretical ideas first pioneered by Fu and Kane that in such system Majorana bound
states occur at vortices or edges of the system [Phys. Rev. Lett. 100, 096407 (2008), Phys.
Rev. B 79, 161408 (2009)]. These states are of great interest as they constitute a new
quasiparticle which is its own antiparticle and can be used as building blocks for fault
tolerant topological quantum computing.
After an introduction in chapter 1, chapter 2 of the thesis lays the foundation for the
understanding of the field of topology in the context of condensed matter physics with a
focus on topological band insulators and topological superconductors. Starting from a
Chern insulator, the concepts of topological band theory and the bulk boundary corre-
spondence are explained. It is then shown that the low energy Hamiltonian of mercury
telluride (HgTe) quantum wells of an appropriate thickness can be written as two time
reversal symmetric copies of a Chern insulator. This leads to the quantum spin Hall effect.
In such a system, spin-polarized one dimensional conducting states form at the edges
of the material, while the bulk is insulating. This concept is extended to 3D topological
insulators with conducting 2D surface states. As a preliminary step to treating topological
superconductivity, a short review of the microscopic theory of superconductivity, i.e. the
theory of Bardeen, Cooper, and Shrieffer (BCS theory) is presented. The presence of
Majorana end modes in a one dimensional superconducting chain is explained using the
Kitaev model. Finally, topological band insulators and conventional superconductivity
are combined to effectively engineer p-wave superconductivity. One way to investigate
these states is by measuring the periodicity of the phase of the Josephson supercurrent
in a topological Josephson junction. The signature is a 4π-periodicity compared to the
2π-periodicity in conventional Josephson junctions. The proof of the presence of this
effect in HgTe based Josephson junction is the main goal of this thesis and is discussed in
chapters 3 to 6.
Chapter 3 describes in detail the transport of a 3D topological insulator based weak
link under radio-frequency radiation. The chapter starts with a review of the state of
research of (i) strained HgTe as 3D topological insulator and (ii) the progress of induc-
ing superconducting correlations into the topological surface states and the theoretical
predictions of 3D TI based Josephson junctions. Josephson junctions based on strained
HgTe are successfully fabricated. Before studying the ac driven Josephson junctions, the
dc transport of the devices is analysed. The critical current as a function of temperature
is measured and it is possible to determine the induced superconducting gap. Under
rf illumination Shapiro steps form in the current voltage characteristic. A missing first
step at low frequencies and low powers is found in our devices. This is a signature of
a 4π-periodic supercurrent. By studying the device in a wide parameter range - as a
147148 SUMMARY
function of frequency, power, device geometry and magnetic field - it is shown that the
results are in agreement with the presence of a single gapless Andreev doublet and several
conventional modes.
Chapter 4 gives results of the numerical modelling of the I −V dynamics in a Josephson
junction where both a 2π- and a 4π-periodic supercurrents are present. This is done in
the framework of an equivalent circuit representation, namely the resistively shunted
Josephson junction model (RSJ-model). The numerical modelling is in agreement with
the experimental results in chapter 3. First, the missing of odd Shapiro steps can be
understood by a small 4π-periodic supercurrent contribution and a large number of
modes which have a conventional 2π-periodicity. Second, the missing of odd Shapiro
steps occurs at low frequency and low rf power. Third, it is shown that stochastic processes
like Landau Zener tunnelling are most probably not responsible for the 4π contribution.
In a next step the periodicity of Josephson junctions based on quantum spin Hall
insulators using are investigated in chapter 5. A fabrication process of Josephson junctions
based on inverted HgTe quantum wells was successfully developed. In order to achieve a
good proximity effect the barrier material was removed and the superconductor deposited
without exposing the structure to air. In a next step a gate electrode was fabricated which
allows the chemical potential of the quantum well to be tuned. The measurement of the
diffraction pattern of the critical current Ic due to a magnetic field applied perpendicular
to the sample plane was conducted. In the vicinity to the expected quantum spin Hall
phase, the pattern resembles that of a superconducting quantum interference device
(SQUID). This shows that the current flows predominantly on the edges of the mesa.
This observation is taken as a proof of the presence of edge currents. By irradiating the
sample with rf, missing odd Shapiro steps up to step index n = 9 have been observed. This
evidences the presence of a 4π-periodic contribution to the supercurrent. The experiment
is repeated using a weak link based on a non-inverted HgTe quantum well. This material
is expected to be a normal band insulator without helical edge channels. In this device,
all the expected Shapiro steps are observed even at low frequencies and over the whole
gate voltage range. This shows that the observed phenomena are directly connected
to the topological band structure. Both features, namely the missing of odd Shapiro
steps and the SQUID like diffraction pattern, appear strongest towards the quantum spin
Hall regime, and thus provide evidence for induced topological superconductivity in the
helical edge states.
A more direct way to probe the periodicity of the Josephson supercurrent than using
Shapiro steps is the measurement of the emitted radiation of a weak link. This experiment
is presented in chapter 6. A conventional Josephson junction converts a dc bias V to
an ac current with a characteristic Josephson frequency fJ
= eV /h. In a topological
Josephson junction a frequency at half the Josephson frequency fJ /2 is expected. A
new measurement setup was developed in order to measure the emitted spectrum of a
single Josephson junction. With this setup the spectrum of a HgTe quantum well based
Josephson junction was measured and the emission at half the Josephson frequency fJ /2
was detected. In addition, fJ emission is also detected depending on the gate voltage and
detection frequency. The spectrum is again dominated by half the Josephson emission at
low voltages while the conventional emission is determines the spectrum at high voltages.
A non-inverted quantum well shows only conventional emission over the whole gateSUMMARY 149
voltage and frequency range. The linewidth of the detected frequencies gives a measure
on the lifetime of the bound states: From there, a coherence time of 0.3–4ns for the fJ /2
line has been deduced. This is generally shorter than for the fJ line (3–4ns).
The last part of the thesis, chapter 7, reports on the induced superconducting state
in a strained HgTe layer investigated by point-contact Andreev reflection spectroscopy.
For the experiment, a HgTe mesa was fabricated with a small constriction. The diameter
of the orifice was chosen to be smaller than the mean free path estimated from magne-
totransport measurements. Thus one gets a ballistic point-contact which allows energy
resolved spectroscopy. One part of the mesa is covered with a superconductor which
induces superconducting correlations into the surface states of the topological insulator.
This experiment therefore probes a single superconductor normal interface. In contrast to
the Josephson junctions studied previously, the geometry allows the acquisition of energy
resolved information of the induced superconducting state through the measurement
of the differential conductance dI/dV as a function of applied dc bias for various gate
voltages, temperatures and magnetic fields. An induced superconducting order parame-
ter of about 70µeV was extracted but also signatures of the niobium gap at the expected
value around Δ Nb
≈ 1.1meV have been found. Simulations using the theory developed by
Blonder, Tinkham and Klapwijk and an extended model taking the topological surface
states into account were used to fit the data. The simulations are in agreement with a
small barrier at the topological insulator-induced topological superconductor interface
and a high barrier at the Nb to topological insulator interface. To understand the full con-
ductance curve as a function of applied voltage, a non-equilibrium driven transformation
is suggested. The induced superconductivity is suppressed at a certain bias value due to
local electron population. In accordance with this suppression, the relevant scattering
regions change spatially as a function of applied bias.
To conclude, it is emphasized that the experiments conducted in this thesis found
clear signatures of induced topological superconductivity in HgTe based quantum well
and bulk devices and opens up the avenue to many experiments. It would be interesting
to apply the developed concepts to other topological matter-superconductor hybrid
systems. The direct spectroscopy and manipulation of the Andreev bound states using
circuit quantum electrodynamic techniques should be the next steps for HgTe based
samples. This was already achieved in superconducting atomic break junctions by the
group in Saclay [Science 2015, 349, 1199-1202 (2015)]. Another possible development
would be the on-chip detection of the emitted spectrum as a function of the phase φ
through the junction. In this connection, the topological junction needs to be shunted
by a parallel ancillary junction. Such a setup would allow the current phase relation
I(φ) directly and the lifetime of the bound states to be measured directly. By coupling
this system to a spectrometer, which can be another Josephson junction, the energy
dependence of the Andreev bound states E(φ) could be obtained. The experiments on
the Andreev reflection spectroscopy described in this thesis could easily be extended to
two dimensional topological insulators and to more complex geometries, like a phase
bias loop or a tunable barrier at the point-contact. This work might also be useful for
answering the question how and why Majorana bound states can be localized in quantum
spin Hall systems.
Software frameworks for Realtime Interactive Systems (RIS), e.g., in the areas of Virtual, Augmented, and Mixed Reality (VR, AR, and MR) or computer games, facilitate a multitude of functionalities by coupling diverse software modules. In this context, no uniform methodology for coupling these modules does exist; instead various purpose-built solutions have been proposed. As a consequence, important software qualities, such as maintainability, reusability, and adaptability, are impeded.
Many modern systems provide additional support for the integration of Artificial Intelligence (AI) methods to create so called intelligent virtual environments. These methods exacerbate the above-mentioned problem of coupling software modules in the thus created Intelligent Realtime Interactive Systems (IRIS) even more. This, on the one hand, is due to the commonly applied specialized data structures and asynchronous execution schemes, and the requirement for high consistency regarding content-wise coupled but functionally decoupled forms of data representation on the other.
This work proposes an approach to decoupling software modules in IRIS, which is based on the abstraction of architecture elements using a semantic Knowledge Representation Layer (KRL). The layer facilitates decoupling the required modules, provides a means for ensuring interface compatibility and consistency, and in the end constitutes an interface for symbolic AI methods.
Lattice forces are based on the attraction between the single moieties of molecules. The strength of lattice forces has an impact on the solid state and related physical properties such as melting point, boiling point, vapor pressure solvation and solubility. For solvation to occur, energy is required to break the lattice forces attracting ions and molecules among themselves. The energy for breaking up the attraction between the molecules is gained from the energy released when ions or molecules of the lattice associate with molecules of the solvent. Solubility is therefore, directly linked to the energy which is required to break the lattice forces and the energy which is liberated by solvation of the molecules or ions. Based on this relation, the lattice forces in two acidic compounds and a neutral compound were subsequently lowered by different approaches with the intention to increase the solubility, supersaturation, and dissolution rate.
The conversion to an ionic liquid and the embedding of the compound in a pH-sensitive matrix in an amorphous state were investigated with an acidic compound and its pro-drug. The tetrabutylphosphonium (TBPH) salt showed the most promising properties among the tested counter ions. It alters the properties of the compound from a highly crystalline physicochemical state to an amorphous readily soluble material showing supersaturation in a wider pH range and higher solubility than the sodium and potassium salts. A solid dispersion approach was developed in parallel. Solid dispersions with two different pH-sensitive polymers and different drug load were prepared by lyophilization to determine the miscibility of the compound and the polymer by differential scanning calorimetry (DSC). A miscibility of 50% of the amorphous acid with the pH-sensitive Eudragit L100-55 matrix and a miscibility of 40% with hydroxypropyl methylcellulose acetate succinate (HPMC-AS) was found. Both approaches, the TBPH salt and the solid dispersion based on the pH-sensitive Eudragit L100-55 were tested in vivo. The TBPH salt was dosed in a buffered solution to prevent precipitation in the acidic stomach pH. This resulted in BAV higher than the crystalline suspension but lower than the solid dispersion. There were no acute toxicology effects seen. Thus, TBPH was considered safe for further studies. The TBPH salts were very hygroscopic, sticky and prone to precipitation as free compound when exposed to low pH when simulating the passage through the stomach. Thus, the principle of the ionic liquid was combined with the principle of an amorphous solid dispersion. This mitigated the risk of precipitation of the TBPH salt during the passage of the stomach. Also delinquency upon open storage was improved by embedding the TBPH salt in a pH-sensitive polymer. Dissolution tests mimicking the pH gradient in the gastro intestinal tract confirmed the protective properties of the pH-sensitive polymer matrices against recrystallization at low stomach pH in vitro. Furthermore, supersaturation at pH ranges relevant in the intestines of preclinical species or humans was observed. The TBPH solid dispersion showed superior supersaturation behavior in vitro compared to the free acid in pH-sensitive matrix. However, equally increased bioavailability (BAV) was observed when the amorphous solid dispersion contained the free acid form or the TBPH salt. Absorption seemed to be so fast that the short in vitro supersaturation observed for the free from in pH-sensitive matrix was already sufficient for complete absorption within 15 - 30 minutes. This is in accordance with the short tmax of around 15 - 30 minutes after oral application of the low lattice force principles. The pharmacokinetic (PK) profile became the main focus of further optimization as the BAV was maximized already. Early maximal plasma concentration (tmax) went along with high maximal plasma concentration (Cmax) for the low lattice force principles. Central nervous system related side effects as consequence of the PK profile with such a high Cmax were likely to happen and therefore, the formulation principles were modified to maintain the doubled BAV and reduce the observed Cmax. Additionally, the compound showed a short half-life requiring a two times daily dose, which is suboptimal for a chronic treatment. The amorphous acid in pH-matrix showed a modified PK profile when dosed in a hydrogel but not in an oleo gel. Surprisingly, administration of the TBPH salt in pH-matrix suspended in oil showed a massive delay of the tmax to 8 hours and a reduction of Cmax by factor 2 - 3 with unchanged good BAV when administered as a suspension in oil without increased viscosity. TBPH salt solution with a high viscosity resulted in the same PK profile as when administered without increased viscosity.
The animal model was changed from rat to dog. The dose was limited to 15 mg/dog since they reacted much more sensitively to the drug. BAV at this dose level was 100% for the crystalline suspension already, thus the focus of this study was not increasing BAV but to achieve prolonged and/or delayed exposure using different formulation principles elaborated in rats before. An immediate release formulation of 3 mg was combined with a delayed/modified release principle containing 12 mg of the compound. An additional study arm was conducted with a remote controlled device programmed to deliver a first dose of 3 mg instantaneously after passing the stomach and a second dose of 12 mg when entering the caecum. The tmax remained short for all formulation principles and it seemed that delayed and modified release lead to BAV reduction. The modified PK profiles could not be translated to an oral dog model which endorsed the hypothesis of an absorption window; however, the in vitro results could be translated to a dog model for colonic absorption. A nanosuspension of the crystalline compound, the TBPH salt in pH-matrix and the TBPH salt of the pro-drug of the compound were administered rectally to determine colonic absorption. The nanosuspension showed exposure around the limit of quantification whereas the TBPH in pH-matrix showed 4% BAV and the pro-drug as TBPH salt in pH-matrix resulted in 12% BAV although the pro-drug is factor 3 less soluble. This was in line with the increased permeation of the pro-drug which was observed in the Caco2 experiments. The bioavailability was increased by using the low lattice force principles and validated the hypothesis for the acidic drug and its pro-drug in the colonic dog model. Chemical and physicochemical stability of the investigated solid dispersions was confirmed for at least 18 months at room temperature.
Amorphous solid dispersions were investigated to lower lattice forces of a neutral molecule. Solid dispersions are well known from literature; however, they are not frequently used as principles for dosage forms due to limitations in physical stability and complex manufacturing processes. A viable formulation principle was developed for a neutral compound assuming that the stability of a solid dispersion with a drug load below the maximal miscibility will be better than one which exceeds the maximal miscibility. The dispersed and amorphous state of the neutral compound resulted in a higher energy level and chemical potential compared to a crystalline form implying that they are thermodynamically instable and sensitive to recrystallization. This was confirmed by the fast recrystallization of an amorphous solid dispersion made from HPMC with 50% drug load which recrystallized within a few days. Solid dispersions with different drug loads in different polymers and in polymer mixtures were prepared by lyophilization. The miscibility of the compound and the polymer was determined by DSC as the miscibility is a surrogate for maximal stable drugload of the solid dispersion. HPMC was found to be miscible with 20% compound confirming the instability of the 50% HPMC solid dispersion observed earlier. Based on dosing needs, a miscibility/drug load of at least 30% was mandatory because of the dosing requirements to dose less than 1500 mg of final formulation. This was considered as maximal swallowable volume for later clinical development. Thus, all systems with a miscibility higher or equal to 30% drug in polymer were evaluated in an in vitro dissolution test and ranked in comparison with amorphous pure compound, crystalline compound and a 20% drug load solid dispersion made from HPMC. The HPMC based solid dispersion which gave good exposure in previous in vivo experiments did not support the high drugload that was needed. Therefore, similar in vitro behavior of this solid dispersion should result in similar in vivo performance. The polyvinylpyrrolidone (PVP) based solid dispersions scored with high drug load and medium initial kinetic solubility. The Soluplus based solid dispersion offer lower drug load and slightly lower initial kinetic solubility, but showed an extended supersaturation. The 4 best performing systems were evaluated in rats. They resulted in a short Tmax of 15 minutes and BAV higher than 85% indicating fast and complete absorption. The reference HPMC based solid dispersion with a drug load of 20% showed 65% BAV. This showed that higher drug loads were feasible and did not limit absorption in this animal model.
Since the estimated human dose required a higher formulation density than obtained from lyophilization or spray drying, melt extrusion of the solid dispersion was considered to be the most adequate technology. The process temperature needed to be below 200 °C as this value represents the degradation temperature of the polymers. It was investigated by differential scanning calorimetry whether the compound can be mixed with the molten polymer. None of the polymers could dissolve the crystalline compound below the degradation point of the polymer. The temperature had to be increased to 260 °C until the compound was molten together to a monophasic system with polymer. This resulted in degradation of the polymers. Therefore, different plasticizers and small organic molecules with similar functional groups as the compound were investigated on their ability to reduce the melting point of the mixture of polymer and compound. Positive results were obtained with several small molecules. Based on a literature review, nicotinamide had the least concerning pharmaceutical activities and was chosen for further development. Solid dispersions with the same composition as the ones tested in rat were prepared with 9% nicotinamide as softener. Extrusion without nicotinamide was not possible at 135 °C or at 170 °C whereas the addition of 9% nicotinamide led to a homogenous extrudate when processed at 135 °C. The solid state of the extrudates was not molecularly dispersed but the compound was in a crystalline state. They could not reach the in vitro performance observed for the lyophilized solid dispersions with Soluplus or PVP derivatives. Nevertheless, the performances in the supersaturation assay were comparable to the HPMC based lyophilized solid dispersion. The Soluplus and PVP based crystalline extrudates were evaluated in a dog PK showing that the crystalline solid dispersion does not enable BAV higher than 90% within 24 hours after application. In parallel, the hygroscopicity of the meltextrudates was investigated by DVS and the best performing system based on Kollidon VA64 was further optimized regarding the solid state after its extrusion. The minimal process temperature to obtain a fully amorphous solid dispersion was determined by hot stage X-ray powder diffraction analysis (XRPD) and confirmed by lab scale extrusion. Addition of 9% nicotinamide lowered the process temperature from 220 °C (without nicotinamide) to 200 °C with nicotinamide. The minimal temperature for obtaining crystal free material was independent of the nicotinamide amount as soon as it exceeded 9%. Lowering the process temperature with nicotinamide reduced the impurity levels from 3.5% at 220 °C to 1.1% at 200 °C. The fully amorphous extrudates performed now better in the in vitro supersaturation assay than the lyophilized amorphous HPMC solid dispersion and the crystalline extrudates which were extruded at 135 °C. The process was up-scaled to a pilot scale extruder with alternative screw designs increasing mechanical shear forces and mixing which enabled lower process temperatures. This resulted in a maximal process temperature of 195 °C when nicotinamide was present and 205 °C without nicotinamide. However, shorter process time and reduced process temperatures (compared to the lab scale equipment) resulted in impurity levels smaller than 0.5% for both compositions and temperatures and made the nicotinamide obsolete. The amorphous extrudates from the pilot scale extruder performed better in vitro than the crystalline extrudates from the lab scale extruder and the lyophilized HPMC solid dispersion. A comparable PK profile of the HPMC solid dispersion and the amorphous melt extruded formulation principle was anticipated from these in vitro results. This was confirmed by the pharmacokinetic profile in dogs after oral administration of the final extruded solid dispersion formulation which was equivalent with the pharmacokinetic profile of the HPMC based solid dispersion formulation. The assumption that using a drug load below the miscibility prevents the solid dispersion from recrystallization was verified at least for a limited time by a stability test at elevated temperatures for 3 months showing no change in solid state. This indicates the opportunities of the low lattice forces approach, but also showed the importance of developing principles first assuring stable solid state, performance in vitro and in vivo, tailor them in a second step based on performance and combine them with technology such as melt extrusion as third step. If these steps are done in the context of clinical needs and quality it can rationalize the development of a solid dispersion and minimalize the formulation related risks regarding biopharmacy and stability.
In recent years, great progress has been made in the area of Artificial Intelligence (AI) due to the possibilities of Deep Learning which steadily yielded new state-of-the-art results especially in many image recognition tasks.
Currently, in some areas, human performance is achieved or already exceeded.
This great development already had an impact on the area of Optical Music Recognition (OMR) as several novel methods relying on Deep Learning succeeded in specific tasks.
Musicologists are interested in large-scale musical analysis and in publishing digital transcriptions in a collection enabling to develop tools for searching and data retrieving.
The application of OMR promises to simplify and thus speed-up the transcription process by either providing fully-automatic or semi-automatic approaches.
This thesis focuses on the automatic transcription of Medieval music with a focus on square notation which poses a challenging task due to complex layouts, highly varying handwritten notations, and degradation.
However, since handwritten music notations are quite complex to read, even for an experienced musicologist, it is to be expected that even with new techniques of OMR manual corrections are required to obtain the transcriptions.
This thesis presents several new approaches and open source software solutions for layout analysis and Automatic Text Recognition (ATR) for early documents and for OMR of Medieval manuscripts providing state-of-the-art technology.
Fully Convolutional Networks (FCN) are applied for the segmentation of historical manuscripts and early printed books, to detect staff lines, and to recognize neume notations.
The ATR engine Calamari is presented which allows for ATR of early prints and also the recognition of lyrics.
Configurable CNN/LSTM-network architectures which are trained with the segmentation-free CTC-loss are applied to the sequential recognition of text but also monophonic music.
Finally, a syllable-to-neume assignment algorithm is presented which represents the final step to obtain a complete transcription of the music.
The evaluations show that the performances of any algorithm is highly depending on the material at hand and the number of training instances.
The presented staff line detection correctly identifies staff lines and staves with an $F_1$-score of above $99.5\%$.
The symbol recognition yields a diplomatic Symbol Accuracy Rate (dSAR) of above $90\%$ by counting the number of correct predictions in the symbols sequence normalized by its length.
The ATR of lyrics achieved a Character Error Rate (CAR) (equivalently the number of correct predictions normalized by the sentence length) of above $93\%$ trained on 771 lyric lines of Medieval manuscripts and of 99.89\% when training on around 3.5 million lines of contemporary printed fonts.
The assignment of syllables and their corresponding neumes reached $F_1$-scores of up to $99.2\%$.
A direct comparison to previously published performances is difficult due to different materials and metrics.
However, estimations show that the reported values of this thesis exceed the state-of-the-art in the area of square notation.
A further goal of this thesis is to enable musicologists without technical background to apply the developed algorithms in a complete workflow by providing a user-friendly and comfortable Graphical User Interface (GUI) encapsulating the technical details.
For this purpose, this thesis presents the web-application OMMR4all.
Its fully-functional workflow includes the proposed state-of-the-art machine-learning algorithms and optionally allows for a manual intervention at any stage to correct the output preventing error propagation.
To simplify the manual (post-) correction, OMMR4all provides an overlay-editor that superimposes the annotations with a scan of the original manuscripts so that errors can easily be spotted.
The workflow is designed to be iteratively improvable by training better models as soon as new Ground Truth (GT) is available.
The main focus of this thesis was the synthesis and analysis of multifunctional oligopeptides. The study of their non-covalent interactions with various counterparts revealed interesting new results, leading to both methodological and application related progress. The first project of this thesis concentrated on the in-depth analysis of the peptide receptor CBS-Lys-Lys-Phe-NH2 to acquire a better understanding of its binding mode upon complexation with a substrate. In this context it was possible to develop—in cooperation with the group of Prof. Sebastian Schlücker—a direct and label free spectroscopic detection of immobilized compounds which are often found in combinatorial libraries. This new screening method utilizes the advantages of the surface enhanced Raman spectroscopy and allowed for the first time a surface mapping of a single polystyrene bead for the identification of peptides in femtomolar concentrations. Hence, this method allows a very fast and sensitive detection of resin bound compounds. The development of this promising new approach set the starting point for future experiments to enable on-bead library screenings and to investigate the complex formation of immobilized compounds. After the comprehensive analysis of the basic structural features of small peptide receptors in the first part of this thesis, the second big block focused on its in vitro evaluation using biological relevant targets. Therefore, several different modifications of the initial peptide structures were synthesized. These modifications provided a molecular toolkit for the tailor made synthesis of structures individually designed for the respective target. The first tests addressed the interaction with Alzheimer’s related amyloid fibrils. During these experiments, the successful SPPS syntheses of tri- and tetravalent systems were achieved. The comparison of the multivalent form with the corresponding monovalent version was then under special investigations. These concentrated mainly on the interaction with various bacteria strains, as well as with different parasites. To localize the compounds within the organisms, the synthesis of fluorescence labelled versions was achieved. In addition, several compounds were tested by the Institute for Molecular Infection Biology of the University of Würzburg for their antibacterial activity. This thorough evaluation of the biological activity generated precious information about the influence of small structural changes in the peptide receptors. Especially the distinct influence of the multivalency effect and the acquired synthetic skills led to the development of an advanced non-covalent recognition event, as described in the final project of this thesis. The last part of this thesis discussed the development of a novel inhibitor for the serine protease beta-tryptase based on a tailor-made surface recognition event. It was possible to study and analyze the complex interaction with the unique structure of tryptase, that features a tetrameric frame and four catalytic cleavage sites buried deep inside of the hollow structure. However, the point of attack were not the four binding pockets, as mostly described in the literature, but rather the acidic areas around the cleavage sites and at the two circular openings. These should attract peptides with basic residues, which then can block the accessibility to the active sites. A combinatorial library of 216 tetravalent peptide compounds was synthesized to find the best structural composition for the non-covalent inhibition of beta-tryptase. For the screening of the library a new on-bead assay was applied. With this method a simultaneous readout of the total inhibition of all library members was possible, thus allowing a fast and direct investigation of the still resin bound inhibitors. Several additional experiments in solution unveiled the kinetics of the inhibition process. In conclusion, both mono- and multivalent inhibitors interact in a non-destructive and reversible way with the tryptase.
During development of the nervous system, spontaneous Ca2+ transients are observed that regulate the axon growth of motoneurons. This form of spontaneous neuronal activity is reduced in motoneurons from a mouse model of spinal muscular atrophy and this defect correlates with reduced axon elongation. Experiments from our group demonstrated that voltage-gated sodium channel pore blockers decrease spontaneous neuronal activity and
axon growth in cultured motoneurons, too. In these experiments, saxitoxin was more potent than tetrodotoxin. We identified the saxitoxin-sensitive/tetrodotoxin-insensitive voltage-gated sodium channel NaV1.9 as trigger for the opening of voltage-gated calcium channels. In motoneurons, expression of NaV1.9 was verified via quantitative RT-PCR. Immuno labelling
experiments revealed enrichment of the channel in axonal growth cones and at the nodes of Ranvier of isolated nerve fibres from wild type mice. Motoneurons from NaV1.9 knock-out mice show decreased spontaneous activity and reduced axonal elongation. This growth defect can be rescued by NaV1.9 overexpression. In motoneurons from Smn-deficient mice, NaV1.9 distribution appeared to be normal.
Recently, patients carrying a missense mutation in the NaV1.9-encoding gene SCN11A were identified. These patients are not able to feel pain and suffer from muscular weakness and a delayed motor development. Molecular biological work during this dissertation supported the analysis of this mutation in a mouse model carrying the orthologous alteration in the Scn11a
locus. The cooperation study confirmed that a gain-of-function mechanism underlies the NaV1.9-mediated channelopathy, thus suggesting a functional role of NaV1.9 in human motoneurons.
An earlier study showed in hippocampal neurons that the receptor tyrosine kinase tropomyosin receptor kinase B (TrkB) can open the NaV1.9 channel. TrkB is localized in
growth cones of motoneurons and subsequently found in close proximity to NaV1.9. In order to proof whether TrkB is involved in spontaneous excitability in motoneurons, TrkB knock-out mice were analysed. Isolated motoneurons from TrkB knock-out mice show a reduced spontaneous activity and axon elongation. It remains to be studied whether TrkB and NaV1.9 are functionally connected.
The infection of a eukaryotic host cell by a bacterial pathogen is one of the most intimate examples of cross-kingdom interactions in biology. Infection processes are highly relevant from both a basic research as well as a clinical point of view. Sophisticated mechanisms have evolved in the pathogen to manipulate the host response and vice versa host cells have developed a wide range of anti-microbial defense strategies to combat bacterial invasion and clear infections. However, it is this diversity and complexity that makes infection research so challenging to technically address as common approaches have either been optimized for bacterial or eukaryotic organisms. Instead, methods are required that are able to deal with the often dramatic discrepancy between host and pathogen with respect to various cellular properties and processes. One class of cellular macromolecules that exemplify this host-pathogen heterogeneity is given by their transcriptomes: Bacterial transcripts differ from their eukaryotic counterparts in many aspects that involve both quantitative and qualitative traits. The entity of RNA transcripts present in a cell is of paramount interest as it reflects the cell’s physiological state under the given condition. Genome-wide transcriptomic techniques such as RNA-seq have therefore been used for single-organism analyses for several years, but their applicability has been limited for infection studies.
The present work describes the establishment of a novel transcriptomic approach for infection biology which we have termed “Dual RNA-seq”. Using this technology, it was intended to shed light particularly on the contribution of non-protein-encoding transcripts to virulence, as these classes have mostly evaded previous infection studies due to the lack of suitable methods. The performance of Dual RNA-seq was evaluated in an in vitro infection model based on the important facultative intracellular pathogen Salmonella enterica serovar Typhimurium and different human cell lines. Dual RNA-seq was found to be capable of capturing all major bacterial and human transcript classes and proved reproducible. During the course of these experiments, a previously largely uncharacterized bacterial small non-coding RNA (sRNA), referred to as STnc440, was identified as one of the most strongly induced genes in intracellular Salmonella. Interestingly, while inhibition of STnc440 expression has been previously shown to cause a virulence defect in different animal models of Salmonellosis, the underlying molecular mechanisms have remained obscure. Here, classical genetics, transcriptomics and biochemical assays proposed a complex model of Salmonella gene expression control that is orchestrated by this sRNA. In particular, STnc440 was found to be involved in the regulation of multiple bacterial target mRNAs by direct base pair interaction with consequences for Salmonella virulence and implications for the host’s immune response. These findings exemplify the scope of Dual RNA-seq for the identification and characterization of novel bacterial virulence factors during host infection.
Poor or variable oral bioavailability is of major concern regarding safety and efficacy for the treatment of patients with poorly water-soluble drugs (PWSDs). The problem statement of this work involves a pharmaceutical development perspective, the physicochemical basis of the absorption process and physiological / biopharmaceutical aspects. A methodology was developed aiming at closing the gap between drug liberation and dissolution on the one hand and the appearance of drug in the blood on the other. Considering what is out of control from a formulation development perspective, a clear differentiation between bioavailability and bioaccessibility was necessary. Focusing on the absorption process, bioaccessibility of a model compound, a poorly soluble but well permeable weak base, was characterized by means of flux across artificial biomimetic membranes. Such setups can be considered to reasonably mimic relevant oral absorption resistances in vitro in terms of diffusion through an unstirred water layer (UWL) and a lipidic barrier. Mechanistic understanding of the driving force for permeation was gained by differentiating drug species and subsequently linking them to the observed transfer rates using a bioaccessibility concept. The three key species that need to be differentiated are molecularly dissolved drug, drug associated in solution with other components (liquid reservoir) and undissolved drug (solid reservoir). An innovative approach to differentiate molecularly dissolved drug from the liquid reservoir using ultracentrifugation in combination with dynamic light scattering as control is presented. A guidance for rational formulation development of PWSDs is elaborated based on the employed model compound. It is structured into five guiding questions to help drug formulation scientists in selecting drug form, excipients and eventually the formulation principle. Overall, the relevance but also limitations of characterizing bioaccessibility were outlined with respect to practical application e.g. in early drug formulation development.
Numerous experiments have shown that an evaluative and passive process, known as validation, accompanies activation and integration, which are fundamental processes of text comprehension. During the construction of a mental model, validation implicitly assesses the plausibility of incoming information by checking its consistency with world knowledge, prior beliefs, and contextual information (e.g., the broader discourse context). However, research on potential influences that shape validation processes has just started. One branch of research is investigating how world knowledge and contextual information contribute to integration and validation. World knowledge usually influences validation more strongly because information plausibility is the primary criterion for validation, but strong contextual information can yield influences as well.
Contextual information that may be specifically relevant for routine validation is the credibility of a source providing text information. Source credibility bears a strong conceptual relationship to the validity of information. However, a dearth of research has investigated joint effects of plausibility and source credibility for routine validation. To fill this research gap, the aim of the present dissertation was to examine the role of source credibility in routine validation processes of text information. This dissertation argues that both source credibility and plausibility are considered in these processes. In particular, information plausibility is proposed as the primary criterion, but source credibility may modulate validation as an additional criterion. To this end, three studies with five self-paced reading experiments were conducted in which reading times served as an implicit indicator of validation and plausibility judgments as an explicit indicator, and the convergence or divergence between the two indicators was interpreted.
The first study examined the interplay of plausibility and source credibility for the validation of world-knowledge consistent versus inconsistent text information embedded in short narratives. This highly plausible or highly implausible information was provided by a high- or low-expertise source. In Study 1, plausibility dominated validation as suggested by faster reading times and higher plausibility judgments for world-knowledge consistent information. Importantly, source credibility modulated the validation of highly implausible information but seemed to not matter for plausible information. High-credible sources increased the implausibility of highly implausible information to a greater extent compared with low-credible sources as indicated by longer reading times and lower plausibility judgments. These results diverged from recent findings from Foy et al. (2017).
The second study investigated whether the modulating role of source credibility depends on the degree of implausibility of an information. Thus, Study 2 extended Study 1 by an intermediate, somewhat implausible level of plausibility (comparable to the implausible claims in Foy et al., 2017). Similar to Study 1, plausibility dominated validation as indicated by lower reading times and plausibility judgments with higher world-knowledge inconsistency. Again, source credibility had no effect on the routine validation of plausible information. However, high-credible sources mitigated the implausibility of somewhat implausible information as indicated by faster reading times and higher plausibility judgments but exacerbated the implausibility of highly implausible information as indicated by slower reading times and lower plausibility judgments.
In short, Study 2 findings not only integrates the seemingly divergent results of Study 1 and Foy et al. (2017) but also provides strong support for the assumption that the degree of implausibility determines the modulating role of source credibility for validation.
The third study examined the relationship of source credibility and plausibility in an ecologically valid social media setting with short Twitter messages varying in world-knowledge and text-belief consistency by trustworthy and untrustworthy sources. In sum, plausibility and to a lesser extent source credibility mattered for routine validation and explicit evaluation of text information as indicated by reading times and plausibility judgments. However, the pattern partly diverged from Study 1 and 2, possibly because the source information was more salient.
In sum, the present dissertation yielded three insights. First, the findings further extends evidence for routine validation based on world-knowledge and prior beliefs. Second, the studies suggest that source credibility can modulate validation. Readers used source credibility cues for routine validation and the explicit evaluation of text information in all studies. Third, the impact of source credibility seems to depend on the degree of implausibility of information.
The present findings have theoretical implications for theories of validation and text comprehension as well as practical implications for targeting threats associated with the prevalence of inaccurate information, for example, on the World Wide Web. Future research using eye-tracking methodology could further disentangle the routine and strategic underlying processes of the relationship between source credibility and plausibility.
Protein-protein interactions play a crucial role in the development of drug delivery devices for the increasingly important biologicals, including antibodies, growth factors and cytokines. The understanding thereof might offer opportunities for tailoring carriers or drug proteins specifically for this purpose and thereby allow controlled delivery to a chosen target. The possible applications range from trigger-dependent release to sustained drug delivery and possibly permanently present stimuli, depending on the anticipated mechanism.
Silk fibroin (SF) is a biomaterial that is suitable as a carrier for protein drug delivery devices. It combines processability under mild conditions, good biocompatibility and stabilizing effects on incorporated proteins.
As SF is naturally produced by spiders and silkworms, the understanding of this process and its major factors might offer a blueprint for formulation scientists, interested in working with this biopolymer. The natural process of silk spinning covers a fascinating versatility of aggregate states, ranging from colloidal solutions through hydrogels to solid systems. The transition among these states is controlled by a carefully orchestrated process in vivo. Major players within the natural process include the control of spatial pH throughout passage of the silk dope, the composition and type of ions, and fluid flow mechanics within the duct, respectively. The function of these input parameters on the spinning process is reviewed before detailing their impact on the design and manufacture of silk based drug delivery systems (DDS). Examples are reported including the control of hydrogel formation during storage or significant parameters controlling precipitation in the presence of appropriate salts, respectively. The review details the use of silk fibroin to develop liquid, semiliquid or solid DDS with a focus on the control of SF crystallization, particle formation, and drug-SF interaction for tailored drug load.
Although we were able to show many examples for SF drug delivery applications and there are many publications about the loading of biologics to SF systems, the mechanism of interaction between both in solution was not yet extensively explored. This is why we made this the subject of our work, as it might allow for direct influence on pharmaceutical parameters, like aggregation and drug load.
In order to understand the underlying mechanism for the interaction between SF and positively charged model proteins, we used isothermal titration calorimetry for thermodynamic characterization. This was supported by hydrophobicity analysis and by colloidal characterization methods including static light scattering, nanoparticle tracking analysis and zeta potential measurements. We studied the effects of three Hofmeister salts – NaCl (neutral), NaSCN (chaotropic) and Na2SO4 (cosmotropic) – and the pH on the interaction of SF with the model proteins in dependence of the ratio from one to another. The salts impacted the SF structure by stabilizing (cosmotropic) or destabilizing (chaotropic) the SF micelles, resulting in completely abolished (cosmotropic) or strongly enhanced (chaotropic) interaction. These effects were responsible for different levels of loading and coacervation when varying type of salt and its concentration. Additionally, NaCl and NaSCN were able to prolong the stability of aqueous SF solution during storage at 25°C in a preliminary study.
Another approach to influence protein-protein interactions was followed by covalent modification. Interleukin-4 (IL-4) is a cytokine driving macrophages to M2 macrophages, which are known to provide anti-inflammatory effects. The possibility to regulate the polarization of macrophages to this state might be attractive for a variety of diseases, like atherosclerosis, in which macrophages are involved. As these cases demand a long-term treatment, this polarization was supposed to be maintained over time and we were planning to achieve this by keeping IL-4 permanently present in an immobilized way. In order to immobilize it, we genetically introduced an alkyne-carrying, artificial amino acid in the IL-4 sequence. This allowed access to a site-specific click reaction (Cu(I)-catalyzed Huisgen azide-alkyne cycloaddition) with an azide partner. This study was able to set the basis for the project by successful expression and purification of the IL-4 analogue and by proving the availability for the click reaction and maintained bioactivity. The other side of this project was the isolation of human monocytes and the polarization and characterization of human macrophages. The challenge here was that the majority of related research was based on murine macrophages which was not applicable to human cells and the successful work was so far limited to establishing the necessary methods.
In conclusion, we were able to show two different methods that allow the influence of protein-protein interactions and thereby the possible tailoring of drug loading. Although the results were very promising for both systems, their applicability in the development of drug delivery devices needs to be shown by further studies.
The Mesosaurus Inland Sea covered, in the Late Paleozoic, vast areas (~5 Mio km2) of the SW-Gondwanan continental interior. Major depocentres are represented by the Karoo basins of SW-Africa and the Paraná Basin in South America. These areas were interconnected prior to the break-up of Gondwana and the subsequent opening of the South Atlantic Ocean. In Namibia and South Africa deposits of the Mesosaurus Inland Sea are preserved in the successions of the glacial Dwyka Group and the postglacial Ecca Group (Karoo Supergroup). These deposits comprise the major part of a 60-70 Ma depositional cycle and are the main focus of this study. The large-scale transgressive part of this cycle started in the Late Carboniferous with continental glacial deposits followed by marine glacial and postglacial inland sea deposits. During the Early Permian the Mesosaurus Inland Sea reached its greatest extent, which was accompanied by widespread deposition of Corg-rich sediments. The large scale regressive part is recorded by successions ranging from deep water offshore pelites and turbidite sandstones to shallow water shoreface and deltaic sandstones, deposited in a brackish environment. Shallow water inland sea sediments are in turn overlain by fluvio-lacustrine deposits, which are assigned to the Beaufort Group and form the upper part of the cycle. This successive change in the depositional environment from marine to brackish to freshwater is also reflected in the fossil record. During Dwyka times a marine association of the Gondwana faunal province was able to colonize parts of the Mesosaurus Inland Sea. Later, during lower Ecca times, the connection to the Panthalassan Ocean became insufficient to retain normal marine conditions, leading to strong faunal endemism in an isolated and brackish inland sea environ¬ment. The most well-known and widespread representatives of this endemic fauna are mesosaurid vertebrates and megadesmid bivalves. Numerous altered tuffs occur as interlayers within argillaceous sediments of the Dwyka and Ecca Group of southern Namibia. The vast majority of these altered tuffs are represented by soft and crumbly to hard and indurated, clay-mineral-rich, bentonitic layers. Another, much rarer type is represented by very hard, chert-like tuff layers, which are predominantly albitic in composition. Furthermore, tuff layers within the Gai-As Formation of the Huab area are rich in potassium feldspar and have a porcelain-like appearance. The diagenetically modified matrix is mainly crypto- to microcrystalline. Polished tuff specimen show, in some tuffs, plane lamination or bedding with two or more subunits forming a tuff layer. Some display a weakly developed lamination. Only in very rare cases were structures reminiscent of sedimentary micro-cross lamination observed. The sedimentary textures and structures of the tuffs indicate that they have been deposited mainly as distal ash-fall layers by suspension settling in water. Some may have also been deposited or modified under the influence of weak bottom currents. The primary, pyroclastic macro-components of the tuffs are mainly represented by crystals of quartz, plagio¬clase, and biotite. In some thin sections pseudo¬morphs after pyroxene or hornblende were observed. Euhedral zircon and apatite crystals were observed in almost every tuff. Vitric or formerly vitric macro-components are very rare. The matrix of the majority of the investigated tuffs is predominantly composed of clay minerals. However, the matrix of the tuffs originally consisted most probably of fine vitric ash particles. Soon after deposition the volcanic ash was diagenetically altered to smectitic clay minerals. At a later stage smectite was progressively replaced by illite under prograde conditions. Nowadays the matrix of the bentonitic tuffs is strongly illite-dominated and only in the softer tuff layers a minor smectite content can be detected. Both the primary macrocrystic components as well as the geochemistry of the altered tuffs indicate that their source magmas were mainly of intermediate composition. The abundance of splintery quartz and feldspar crystal fragments within the tuffs hints at a highly explosive plinian or phreatoplinian eruption style of the source volcanoes, which were most probably located within a subduction-related volcanic arc region along the southern margin of Gondwana. New single zircon U-Pb SHRIMP datings of tuff layers provide a much more reliable age control of the investigated sedimentary succession. U-Pb SHRIMP ages for tuff layers from the glaciogenic Dwyka Group in southwestern Africa range from 302.0 ± 3.0 to 297.1 ± 1.8 Ma. The basal part of the early post-glacial Prince Albert Formation is dated at around 290 Ma. SHRIMP ages for tuff layers from the upper part of the Prince Albert Formation, the Whitehill Formation, and the middle part of the Collingham Formation indicate that the Mesosaurus Sea reached its greatest extent at around 280 Ma.
Each year millions of plastic and reconstructive procedures are performed to regenerate soft tissue defects after, for example, traumata, deep burns or tumor resections. Tissue engineered adipose tissue grafts are a promising alternative to autologous fat transfer or synthetic implants to meet this demand for adipose tissue. Strategies of tissue engineering, especially the use of cell carriers, provide an environment for better cell survival, an easier positioning and supplemented with the appropriate conditions a faster vascularization in vivo. To successfully engineer an adipose tissue substitute for clinical use, it is crucial to know the actual intended application. In some areas, like the upper and lower extremities, only a thin subcutaneous fat layer is needed and in others, large volumes of vascularized fat grafts are more desirable. The use and interplay of stem cells and selected scaffolds were investigated and provide now a basis for the generation of fitted and suitable substitutes in two different application areas.
Complex injuries of the upper and lower extremities, in many cases, lead to excessive scarring. Due to severe damage to the subcutaneous fat layer, a common sequela is adhesion formation to mobile structures like tendons, nerves, and blood vessels resulting in restricted motion and disabling pain [Moor 1996, McHugh 1997]. In order to generate a subcutaneous fat layer to cushion scarred tissue after substantial burns or injuries, different collagen matrices were tested for clinical handling and the ability to support adipogenesis. When testing five different collagen matrices, PermacolTM and StratticeTM showed promising characteristics; additionally both possess the clinical approval. Under culture conditions, only PermacolTM, a cross-linked collagen matrix, exhibited an excellent long-term stability. Ranking nearly on the same level was StratticeTM, a non-cross-linked dermal scaffold; it only exhibited a slight shrinkage. All other scaffolds tested were severely compromised in stability under culture conditions. Engineering a subcutaneous fat layer, a construct would be desirable with a thin layer of emerging fat for cushioning on one side, and a non-seeded other side for cell migration and host integration. With PermacolTM and StratticeTM, it was possible to produce constructs with ASC (adipose derived stem cells) seeded on one side, which could be adipogenically differentiated. Additionally, the thickness of the cell layer could be varied. Thereby, it becomes possible to adjust the thickness of the construct to the surrounding tissue. In order to reduce the pre-implantation time ex vivo and the costs, the culture time was varied by testing different induction protocols. An adipogenic induction period of only four days was demonstrated to be sufficient to obtain a substantial adipogenic differentiation of the applied ASC. Thus, seeded with ASC, PermacolTM and StratticeTM are suitable scaffolds to engineer subcutaneous fat layers for reconstruction of the upper and lower extremities, as they support adipogenesis and are appropriately thin, and therefore would not compromise the cosmesis.
For the engineering of large-volume adipose tissue, adequate vascularization still represents a major challenge. With the objective to engineer vascularized fat pads, it is important to consider the slow kinetics of revascularization in vivo. Therefore, a decellularized porcine jejunum with pre-existing vascular structures and pedicles to connect to the host vasculature or the circulation of a bioreactor system was used. In a first step, the ability of a small decellularized jejunal section was tested for cell adhesion and for supporting adipogenic differentiation of hASC mono-cultures. Cell adhesion and adipogenic maturation of ASC seeded on the jejunal material was verified through histological and molecular analysis. After the successful mono-culture, the goal was to establish a MVEC (microvascular endothelial cells) and ASC co-culture; suitable culture conditions had to be found, which support the viability of both cell types and do not interfere with the adipogenic differentiation. After the elimination of EGF (epidermal growth factor) from the co-culture medium, substantial adipogenic maturation was observed. In the next step, a large jejunal segment (length 8 cm), with its pre-existing vascular structures and arterial/venous pedicles, was connected to the supply system of a custom-made bioreactor. After successful reseeding the vascular structure with endothelial cells, the lumen was seeded with ASC which were then adipogenically induced. Histological and molecular examinations confirmed adipogenic maturation and the existence of seeded vessels within the engineered construct. Noteworthily, a co-localization of adipogenically differentiating ASC and endothelial cells in vascular networks could be observed. So, for the first time a vascularized fat construct was developed in vitro, based on the use of a decellularized porcine jejunum. As this engineered construct can be connected to a supply system or even to a patient vasculature, it is versatile in use, for example, as transplant in plastic and reconstruction surgery, as model in basic research or as an in vitro drug testing system.
To summarize, in this work a promising substitute for subcutaneous fat layer reconstruction, in the upper and lower extremities, was developed, and the first, as far as reported, in vitro generated adipose tissue construct with integrated vascular networks was successfully engineered.
Numerical Simulations of Heavy Fermion Systems: From He-3 Bilayers to Topological Kondo Insulators
(2014)
Even though heavy fermion systems have been studied for a long time, a strong interest in heavy fermions persists to this day. While the basic principles of local moment formation, Kondo effect and formation of composite quasiparticles leading to a Fermi liquid, are under- stood, there remain many interesting open questions. A number of issues arise due to the interplay of heavy fermion physics with other phenomena like magnetism and superconduc- tivity.
In this regard, experimental and theoretical investigations of He-3 can provide valuable insights. He-3 represents a unique realization of a quantum liquid. The fermionic nature of He-3 atoms, in conjunction with the absence of long-range Coulomb repulsion, makes this material an ideal model system to study Fermi liquid behavior.
Bulk He-3 has been investigated for quite some time. More recently, it became possible to prepare and study layered He-3 systems, in particular single layers and bilayers. The pos- sibility of tuning various physical properties of the system by changing the density of He-3 and using different substrate materials makes layers of He-3 an ideal quantum simulator for investigating two-dimensional Fermi liquid phenomenology.
In particular, bilayers of He-3 have recently been found to exhibit heavy fermion behavior. As a function of temperature, a crossover from an incoherent state with decoupled layers to a coherent Fermi liquid of composite quasiparticles was observed. This behavior has its roots in the hybridization of the two layers. The first is almost completely filled and subject to strong correlation effects, while the second layer is only partially filled and weakly correlated. The quasiparticles are formed due to the Kondo screening of localized moments in the first layer by the second-layer delocalized fermions, which takes place at a characteristic temperature scale, the coherence scale Tcoh.
Tcoh can be tuned by changing the He-3 density. In particular, at a certain critical filling,
the coherence scale is expected to vanish, corresponding to a divergence of the quasiparticle effective mass, and a breakdown of the Kondo effect at a quantum critical point. Beyond the critical point, the layers are decoupled. The first layer is a local moment magnet, while the second layer is an itinerant overlayer.
However, already at a filling smaller than the critical value, preempting the critical point, the onset of a finite sample magnetization was observed. The character of this intervening phase remained unclear.
Motivated by these experimental observations, in this thesis the results of model calcula- tions based on an extended Periodic Anderson Model are presented. The three particle ring exchange, which is the dominant magnetic exchange process in layered He-3, is included in the model. It leads to an effective ferromagnetic interaction between spins on neighboring sites. In addition, the model incorporates the constraint of no double occupancy by taking the limit of large local Coulomb repulsion.
By means of Cellular DMFT, the model is investigated for a range of values of the chemical potential µ and inverse temperature β = 1/T . The method is a cluster extension to the Dy- namical Mean-Field Theory (DMFT), and allows to systematically include non-local correla- tions beyond the DMFT. The auxiliary cluster model is solved by a hybridization expansion CTQMC cluster solver, which provides unbiased, numerically exact results for the Green’s function and other observables of interest.
As a first step, the onset of Fermi liquid coherence is studied. At low enough temperature, the self-energy is found to exhibit a linear dependence on Matsubara frequency. Meanwhile, the spin susceptibility crossed over from a Curie-Weiss law to a Pauli law. Both observations serve as fingerprints of the Fermi liquid state.
The heavy fermion state appears at a characteristic coherence scale Tcoh. This scale depends strongly on the density. While it is rather high for small filling, for larger filling Tcoh is increas- ingly suppressed. This involves a decreasing quasiparticle residue Z ∼ Tcoh and an enhanced mass renormalization m∗/m ∼ Tcoh−1. Extrapolation leads to a critical filling, where the co-
herence scale is expected to vanish at a quantum critical point. At the same time, the effective mass diverges. This corresponds to a breakdown of the Kondo effect, which is responsible for the formation of quasiparticles, due to a vanishing of the effective hybridization between the layers.
Taking only single-site DMFT results into account, the above scenario seems plausible. However, paramagnetic DMFT neglects the ring exchange interaction completely. In or- der to improve on this, Cellular DMFT simulations are conducted for small clusters of size Nc = 2 and 3. The results paint a different physical picture. The ring exchange, by favor- ing a ferromagnetic alignment of spins, competes with the Kondo screening. As a result, strong short-range ferromagnetic fluctuations appear at larger values of µ. By lowering the temperature, these fluctuations are enhanced at first. However, for T < Tcoh they are increas- ingly suppressed, which is consistent with Fermi liquid coherence. However, beyond a certain threshold value of µ, fluctuations persist to the lowest temperatures. At the same time, while not apparent in the DMFT results, the total occupation n increases quite strongly in a very narrow range around the same value of µ. The evolution of n with µ is always continuous, but hints at a discontinuity in the limit Nc → ∞. This first-order transition breaks the Kondo effect. Beyond the transition, a ferromagnetic state in the first layer is established, and the second layer becomes a decoupled overlayer.
These observations provide a quite appealing interpretation of the experimental results. As a function of chemical potential, the Kondo breakdown quantum critical point is preempted by a first-order transition, where the layers decouple and the first layer turns into a ferromagnet. In the experimental situation, where the filling can be tuned directly, the discontinuous transition is mirrored by a phase separation, which interpolates between the Fermi liquid ground state at lower filling and the magnetic state at higher filling. This is precisely the range of the intervening phase found in the experiments, which is characterized by an onset of a finite sample magnetization.
Besides the interplay of heavy fermion physics and magnetic exchange, recently the spin- orbit coupling, which is present in many heavy fermion materials, attracted a lot of interest. In the presence of time-reversal symmetry, due to spin-orbit coupling, there is the possibility of a topological ground state.
It was recently conjectured that the energy scale of spin-orbit coupling can become dom- inant in heavy fermion materials, since the coherence scale and quasiparticle bandwidth are rather small. This can lead to a heavy fermion ground state with a nontrivial band topology; that is, a topological Kondo insulator (TKI). While being subject to strong correlation effects, this state must be adiabatically connected to a non-interacting, topological state.
The idea of the topological ground state realized in prototypical Kondo insulators, in par- ticular SmB6, promises to shed light on some of the peculiarities of these materials, like a residual conductivity at the lowest temperatures, which have remained unresolved so far.
In this work, a simple two-band model for two-dimensional topological Kondo insulators is devised, which is based on a single Kramer’s doublet coupled to a single conduction band. The model is investigated in the presence of a Hubbard interaction as a function of interaction strength U and inverse temperature β. The bulk properties of the model are obtained by DMFT, with a hybridization expansion CTQMC impurity solver. The DMFT approximation of a local self-energy leads to a very simple way of computing the topological invariant.
The results show that with increasing U the system can be driven through a topological phase transition. Interestingly, the transition is between distinct topological insulating states, namely the Γ-phase and M-phase. This appearance of different topological phases is possible due to the symmetry of the underlying square lattice. By adiabatically connecting both in- teracting states with the respective non-interacting state, it is shown that the transition indeed drives the system from the Γ-phase to the M-phase.
A different behavior can be observed by pushing the bare position of the Kramer’s doublet to higher binding energies. In this case, the non-interacting starting point has a trivial band topology. By switching on the interaction, the system can be tuned through a quantum phase transition, with a closing of the band gap. Upon reopening of the band gap, the system is in the Γ-phase, i. e. a topological insulator. By increasing the interaction strength further, the system moves into a strongly correlated regime. In fact, close to the expected transition to the M phase, the mass renormalization becomes quite substantial. While absent in the para- magnetic DMFT simulations conducted, it is conceivable that instead of a topological phase transition, the system undergoes a time-reversal symmetry breaking, magnetic transition.
The regime of strong correlations is studied in more detail as a function of temperature, both in the bulk and with open boundary conditions. A quantity which proved very useful is the bulk topological invariant Ns, which can be generalized to finite interaction strength and temperature. In particular, it can be used to define a temperature scale T ∗ for the onset of the topological state. Rescaling the results for Ns, a nice data collapse of the results for different values of U, from the local moment regime to strongly mixed valence, is obtained. This hints at T ∗ being a universal low energy scale in topological Kondo insulators. Indeed, by comparing T ∗ with the coherence scale extracted from the self-energy mass renormalization, it is found that both scales are equivalent up to a constant prefactor. Hence, the scale T ∗ obtained from the temperature dependence of topological properties, can be used as an independent measure for Fermi liquid coherence. This is particularly useful in the experimentally relevant mixed valence regime, where charge fluctuations cannot be neglected. Here, a separation of the energy scales related to spin and charge fluctuations is not possible.
The importance of charge fluctuations becomes evident in the extent of spectral weight transfer as the temperature is lowered. For mixed valence, while the hybridization gap emerges, a substantial amount of spectral weight is shifted from the vicinity of the Fermi level to the lower Hubbard band. In contrast, this effect is strongly suppressed in the local moment regime.
In addition to the bulk properties, the spectral function for open boundaries is studied as a function of temperature, both in the local moment and mixed valence regime. This allows an investigation of the emergence of topological edge states with temperature. The method used here is the site-dependent DMFT, which is a generalization of the conventional DMFT to inhomogeneous systems. The hybridization expansion CTQMC algorithm is used as impurity solver.
By comparison with the bulk results for the topological quantity Ns, it is found that the
temperature scale for the appearance of the topological edge states is T ∗, both in the mixed valence and local moment regime.
The number of newly detected autoantibodies (AB) targeting synaptic proteins in neurological disorders of the central nervous system (CNS) is steadily increasing. Direct interactions of AB with their target antigens have been shown in first studies but the exact pathomecha-nisms for most of the already discovered AB are still unclear. The present study investigates pathophysiological mechanisms of AB-fractions that are associated with the enigmatic CNS disease Stiff person syndrome (SPS) and target the synaptically located proteins amphiphysin or glutamate decarboxylase 65 (GAD65).
In the first part of the project, effects of AB to the presynaptic endocytic protein amphiphysin were investigated. Ultrastructural investigations of spinal cord presynaptic boutons in an es-tablished in-vivo passive-transfer model after intrathecal application of human anti-amphiphysin AB showed a defect of endocytosis. This defect was apparent at high synaptic activity and was characterized by reduction of the synaptic vesicle pool, clathrin coated vesi-cles (CCVs), and endosome like structures (ELS) in comparison to controls. Molecular inves-tigation of presynaptic boutons in cultured murine hippocampal neurons with dSTORM microscopy after pretreatment with AB to amphiphysin revealed that marker proteins involved in vesicle exocytosis (synaptobrevin 2 and synaptobrevin 7) had an altered expression in GA-BAergic presynapses. Endophilin, a direct binding partner of amphiphysin also displayed a disturbed expression pattern. Together, these results point towards an anti-amphiphysin AB-induced defective organization in GABAergic synapses and a presumably compensatory rearrangement of proteins responsible for CME.
In the second part, functional consequences of SPS patient derived IgG fractions containing AB to GAD65, the rate limiting enzyme for GABA synthesis, were investigated by patch clamp electrophysiology and immunohistology. GABAergic neurotransmission at low and high activity as well as short term plasticity appeared normal but miniature synaptic potentials showed an enhanced frequency with constant amplitudes. SPS patient IgG after preabsorption of GAD65-AB using recombinant GAD65 still showed specific synaptic binding to neu-rons and brain slices supporting the hypothesis that additional, not yet characterized AB are present in patient IgG responsible for the exclusive effect on frequency of miniature potentials.
In conclusion, the present thesis uncovered basal pathophysiological mechanisms underlying paraneoplastic SPS induced by AB to amphiphysin leading to disturbed presynaptic architec-ture. In idiopathic SPS, the hypothesis of a direct pathophysiological role of AB to GAD65 was not supported and additional IgG AB are suspected to induce distinct synaptic malfunction.
The role of multicellularity as the predominant microbial lifestyle has been affirmed by studies on the genetic regulation of biofilms and the conditions driving their formation. Biofilms are of prime importance for the pathology of chronic infections of the opportunistic human pathogen Staphylococcus aureus.
The recent development of a macrocolony biofilm model in S. aureus opened new opportunities to study evolution and physiological specialization in biofilm communities in this organism. In the macrocolony biofilm model, bacteria form complex aggregates with a sophisticated spatial organization on the micro- and macroscale. The central positive and negative regulators of this organization in S. aureus are the alternative sigma factor σB and the quorum sensing system Agr, respectively. Nevertheless, nothing is known on additional factors controlling the macrocolony morphogenesis.
In this work, the genome of S. aureus was screened for novel factors that are required for the development of the macrocolony architecture. A central role for basic metabolic pathways was demonstrated in this context as the macrocolony architecture was strongly altered by the disruption of nucleotide and carbohydrate synthesis. Environmental signals further modulate macrocolony morphogenesis as illustrated by the role of an oxygen-sensitive gene regulator, which is required for the formation of complex surface structures. A further application of the macrocolony biofilm model was demonstrated in the study of interstrain interactions. The integrity of macrocolony communities was macroscopically visibly disturbed by competitive interactions between clinical isolates of S. aureus.
The results of this work contribute to the characterization of the macrocolony biofilm model and improve our understanding of developmental processes relevant in staphylococcal infections. The identification of anti-biofilm effects exercised through competitive interactions could lead to the design of novel antimicrobial strategies targeting multicellular bacterial communities.
Toll-like receptors (TLR) are pattern recognition receptors (PRR) by which macrophages (MØ) sense pathogen-associated molecular patterns (PAMPs). The recognition of lipopolysaccharide (LPS), the PAMP of gram negative bacteria, by TLR4 triggers signaling cascades and leads to the pro-inflammatory activation of the cells. A recent quantitative and kinetic analysis of the phosphoproteome of LPS-activated primary macrophages highlighted the cytoskeleton as a cell compartment with an enriched protein phosphorylation. In total 44 cytoskeleton-associated proteins were regulated by this post-translational modification and thus might be involved in the control and regulation of key macrophage functions like spreading, motility and phagocytosis.
To investigate the control of cytoskeleton-associated cell functions by TLR4 activation, we first developed a method to quantitatively measure the spreading response of bone marrow MØ after stimulation with LPS. Fluorescence microscopy was used for cell imaging and visualisation of the MØ contact area. In collaboration with the Fraunhofer Institute Erlangen, we developed and validated a software tool for the semi-automated segmentation and quantitation of MØ fluorescence microscopy data, which allowed fast, robust and objective image analysis. Using this method, we observed that LPS caused time-dependent spreading, which was detectable after 1-2 h and maximal after 24 h. Next, the impact of genetic or pharmacological inhibition of known TLR signaling components was investigated. Deficiency in the adapter protein MYD88 strongly reduced spreading activity at the late time points, but had no impact early after LPS-stimulation. A similar effect was observed upon pharmacological inhibition of ERK1/2 signaling, indicating that ERK1/2 mediates MYD88-dependent MØ spreading. In contrast, MØ lacking the MAPK p38 were impaired in the initial spreading response but responded normally 8-24 h after stimulation. The genetic deletion of the MAPK phosphatases DUSP1 and DUSP16 resulted in impaired late spreading, corroborating the essential role for functional MAPK signaling in TLR4-driven MØ spreading.
To identify the contribution of other cytoskeletal phosphoproteins to MØ spreading, siRNA knockdown of selected candidate genes in primary murine MØ was employed and combined with automated quantitative image analysis. These experiments revealed a functional role for the Myosins MYO1e and MYO1f in MØ spreading. These motor proteins are strongly phosphorylated in LPS-activated MØ. Because of their ability to simultaneously bind to actin filaments and cell membrane or other proteins, we investigated their role in phagocytosis, cytokine production and antigen presentation. Phagocytosis and killing of bacteria were not affected in Myo1e-/- macrophages. However, MYO1e plays a role in chemokine secretion and antigen presentation processes. MCP1 (CCL2) release was selectively increased in Myo1e-deficient MØ and dendritic cells (DC), while cytokine secretion was unaffected. Furthermore, macrophages and DCs lacking MYO1e showed lower levels of MHC-II on the cell surface. However, mRNA levels of CCL2 and of MHC-II were unaltered. These data suggest a role for MYO1e in the transport of selected chemokines and of MHC-II molecules to the cell surface. MHC-II-restricted antigen presentation assays revealed an impaired capacity of macrophages and DC lacking MYO1e to stimulate antigen-specific T cells, suggesting that the reduced MHC-II expression is functionally relevant.
Taken together, in this study first a quantitative image analysis method was developed which allows the unbiased, robust and efficient investigation of the macrophage spreading response. Combination of this method with siRNA knockdown of selected cytoskeleton-associated phosphoproteins led to the identification of MYO1e and MYO1f as regulators of macrophage spreading. Furthermore, we identified MYO1e in MØ and DC to be essential for the intracellular transport of CCL2 and MHC-II to the cell surface and for optimal stimulation of antigen-specific CD4 T cells.
We compute genus-0 Belyi maps with prescribed monodromy and strictly verify the computed results. Among the computed examples are almost simple primitive groups that satisfy the rational rigidity criterion yielding polynomials with prescribed Galois groups over Q(t). We also give an explicit version of a theorem of Magaard, which lists all sporadic groups occurring as composition factors of monodromy groups of rational functions.
This work studies the fundamental connection between lattice strain and magnetic anisotropy in the ferromagnetic semiconductor (Ga,Mn)As. The first chapters provide a general introduction into the material system and a detailed description of the growth process by molecular beam epitaxy. A finite element simulation formalism is developed to model the strain distribution in (Ga,Mn)As nanostructures is introduced and its predictions verified by high-resolution x-ray diffraction methods. The influence of lattice strain on the magnetic anisotropy is explained by an magnetostatic model. A possible device application is described in the closing chapter.
Despite accounting for only a small proportion of all skin cancers, malignant melanoma
displays a serious health risk with increasing incidence and high mortality rate. Fortunately,
advances in the treatment of malignant melanoma now prolong survival and enhance response
and treatment efficacy. Established biomarkers help evaluate disease progression and
facilitate choosing appropriate and individual treatment options. However, the need for easily
accessible and reliable biomarkers is rising to predict patient-specific clinical outcome.
Eosinophil infiltration into the tumor and high peripheral eosinophil counts prior and during
treatment have been associated with better response in patients for various cancer entities,
including melanoma. An analysis of a heterogeneous study cohort reported high serum ECP
levels in non-responders. Hence, eosinophil frequency and serum ECP as a soluble
eosinophil-secreted mediator were suggested as prognostic biomarkers in melanoma. We
examined whether melanoma patients treated with first-line targeted therapy could also benefit
from the effects of eosinophils. In total, 243 blood and serum samples from patients with
advanced melanoma were prospectively and retrospectively collected before and after drug
initiation. To link eosinophil function to improved clinical outcome, soluble serum markers and
peripheral blood counts were used for correlative studies using a homogeneous study cohort.
In addition, functional and phenotypical characterizations provided insights into the expression
profile and activity of freshly isolated eosinophils, including comparisons between patients and
healthy donors.
Our data showed a significant correlation between high pre-treatment blood eosinophil counts
and improved response to targeted therapy and by trend to combinatorial immunotherapy in
patients with metastatic melanoma. In accordance with previous studies our results links
eosinophil blood counts to better response in melanoma patients. High pre-treatment ECP
serum concentration correlated with response to immunotherapy but not to targeted therapy.
Eosinophils from healthy donors and patients showed functional and phenotypical similarities.
Functional assays revealed a strong cytotoxic potential of blood eosinophils towards
melanoma cells in vitro, inducing apoptosis and necrosis. In addition, in vitro cytotoxicity was
an active process of peripheral eosinophils and melanoma cells with bidirectional features and
required close cell-cell interaction. The extent of cytotoxicity was dose-dependent and showed
susceptibility to changes in physical factors like adherence. Importantly, we provide evidence
of an additive tumoricidal function of eosinophils and combinatorial targeted therapy in vitro. In
summary, we give valuable insights into the complex and treatment-dependent role of
eosinophils in melanoma. As a result, our data support the suggestion of eosinophils and their
secreted mediators as potential prognostic biomarkers. It will take additional studies to
examine the molecular mechanisms that underlie our findings.
The detection of smallest mechanical loads plays an increasingly important role in many areas of advancing automation and manufacturing technology, but also in everyday life. In this doctoral thesis, various microparticle systems were developed that are able to indicate mechanical shear stress via simple mechanisms. Using a toolbox approach, these systems can be spray-dried from various nanoscale primary particles (silica and iron oxide) to micrometer-sized units, so-called supraparticles. By varying the different building blocks and in combination with different dyes, a new class of mechanochromic shear stress indicators was developed by constructing hierarchically structured core-shell supraparticles that can indicate mechanical stress via an easily detectable color change. Three different mechanisms can be distinguished. If a signal becomes visible only by a mechanical load, it is a turn-on indicator. In the opposite case, the turn-off indicator, the signal is switched off by a mechanical load. In the third mechanism, the color-change indicator, the color changes as a result of a mechanical load. In principle, these indicators can be used in two different ways. First, they can be incorporated into a coating as an additive. These coatings can be applied to a wide range of products, including food packaging, medical devices, and generally any sensitive surface where mechanical stress, such as scratches, is difficult to detect but can have serious consequences. Second, these shear stress indicators can also be used directly in powder form and for example then applied in 3D-printing or in ball mills. A total of six different shear stress indicators were developed, three of which were used as additives in coatings and three were applied in powder form. Depending on their composition, these indicators were readout by fluorescence, UV-Vis or Magnetic Particle Spectroscopy. The development of these novel shear stress indicator supraparticles were successfully combined molecular chemistry with the world of nano-objects to develop macroscopic systems that can enable smart and communicating materials to indicate mechanical stress in a variety of applications.
The extragalactic gamma-ray sky is dominated by blazars, active galactic nuclei (AGN) with a relativistic jet that is closely aligned with the line of sight. Galaxies develop an active nucleus if the central supermassive black hole (BH) accretes large amounts of ambient matter and magnetic flux. The inflowing mass accumulates around the plane perpendicular to the accretion flow's angular momentum. The flow is heated through viscous friction and part of the released energy is radiated as blackbody or non-thermal radiation, with luminosities that can dominate the accumulated stellar luminosity of the host galaxy. A fraction of the accretion flow luminosity is reprocessed in a surrounding field of ionised gas clouds. These clouds, revolving around the central BH, emit Doppler-broadened atomic emission lines. The region where these broad-line-emitting clouds are located is called broad-line region (BLR).
About one in ten AGN forms an outflow of radiation and relativistic particles, called a relativistic jet. According to the Blandford-Znajek mechanism, this is facilitated through electromagnetic processes in the magnetosphere of a spinning BH. The latter induces a magnetospheric poloidal current circuit, generating a decelerating torque on the BH and inducing a toroidal magnetic field. Consequently, rotational energy of the BH is converted to Poynting flux streaming away mainly along the rotational axis and starting the jet. One possibility for particle acceleration near the jet base is realised by magnetospheric vacuum gaps, regions temporarily devoid of plasma, such that an intermittent electric field arises parallel to the magnetic field lines, enabling particle acceleration and contributing to the mass loading of the jets.
Magnetised structures, containing bunches of relativistic electrons, propagate away from the galactic nucleus along the jets. Assuming that these electrons emit synchrotron radiation and that they inverse-Compton (IC) up-scatter abundant target photons, which can either be the synchrotron photons themselves or photons from external emitters, the emitted spectrum can be theoretically determined. Additionally taking into account that these emission regions move relativistically themselves and that the emission is Doppler-boosted and beamed in forward direction, the typical two-hump spectral energy distribution (SED) of blazars is recovered.
There are however findings that challenge this well-established model. Short-time variability, reaching down to minute scales at very high energy gamma rays, is today known to be a widespread phenomenon of blazars, calling for very compact emission regions. In most models of such optically thick emission regions, the gamma-ray flux is usually pair-absorbed exponentially, without considering the cascade evolving from the pair-produced electrons. From the observed flux, it is often concluded that emission emanates from larger distances where the region is optically thin, especially from outside of the BLR. Only in few blazars gamma-ray attenuation associated with pair absorption in the BLR was clearly reported.
With the advent of sophisticated high-energy or very high energy gamma-ray detectors, like the Fermi Large Area Telescope or the Major Atmospheric Gamma-ray Imaging Cherenkov telescopes, besides the extraordinarily fast variability spectral features have been found that cannot be explained by conventional models reproducing the two-hump SED. Two such narrow spectral features are discussed in this work. For the nearby blazar Markarian 501, hints to a sharp peak around 3 TeV have been reported from a multi-wavelength campaign carried out in July 2014, while for 3C 279 a spectral dip was found in 2018 data, that can hardly be described with conventional fitting functions. In this work it is examined whether these spectral peculiarities of blazar jet emission can be explained, if the full radiation reprocessing through an IC pair cascade is accounted for.
Such a cascade is the multiple concatenation of IC scattering events and pair production events. In the cascades generally considered in this work, relativistic electrons and high-energy photons are injected into a fixed soft target photon field. A mathematical description for linear IC pair cascades with escape terms is delivered on the basis of preliminary works. The steady-state kinetic equations for the electrons and for the photons are determined, whereby it is paid attention to an explicit formulation and to motivating the correct integration borders of all integrals from kinematic constraints. In determining the potentially observable gamma-ray flux, both the attenuated injected flux and the flux evolving as an effect of IC up-scattering, pair absorption and escape are incorporated, giving the emerging spectra very distinct imprints.
Much effort is dedicated to the numerical solution of the electrons' kinetic equation via iterative schemes. It is explained why pointwise iteration from higher to lower Lorentz factors is more efficient than iterating the whole set of sampling points. The algorithm is parallelised at two positions. First, several workers can perform pointwise iterations simultaneously. Second, the most demanding integral is cut into a number of part integrals which can be determined by multiple workers. Through these measures, the Python code can be readily applied to simulate steady-state IC pair cascades with escape.
In the case of Markarian 501 the developed framework is as follows. The AGN hosts an advection-dominated accretion flow with a normalised accretion rate of several \(10^{-4}\) and an electron temperature near \(10^{10}\) K. On the one hand, the accretion flow illuminates the few ambient gas clouds with approximate radius \(10^{11}\) m, which reprocess a fraction 0.01 of the luminosity into hydrogen and helium emission lines. On the other hand, the gamma rays from the accretion flow create electrons and positrons in a sporadically active vacuum gap in the BH magnetosphere. In the active gap, a power of roughly 0.001 of the Blandford-Znajek power is extracted from the rotating BH through a gap potential drop of several \(10^{18}\) V, generating ultra-relativistic electrons, which subsequently are multiplied by a factor of about \(10^6\) through interaction with the accretion flow photons. This electron beam propagates away from the central engine and encounters the photon field of one passing ionised cloud. The resulting IC pair cascade is simulated and the evolving gamma-ray spectrum is determined. Just above the absorption troughs due to the hydrogen lines, the spectrum exhibits a narrow bump around 3 TeV. When the cascaded emission is added to the emission generated at larger distances, the observed multi-wavelength SED including the sharp peak at 3 TeV is reproduced, underlining that radiation processes beyond conventional models are motivated by distinct spectral features.
The dip in the spectrum of 3C 279 is addressed by a similar cascade model. Three types of injection are considered, varying in the ratio of the photon density to the electron density and varying in the spectral shape. The IC pair cascade is assumed to happen either in the dense BLR photon field with a luminosity of several \(10^{37}\) W and a radial size of few \(10^{14}\) m or in the diluted photon field outside of the BLR. The latter scenario is however rejected as the spectral slope around several 100 MeV and the dip at few 10 GeV cannot be reconciled within this model. The radiation cascaded in the BLR can explain the observational data, irrespective of the assumed injected rate. It is therefore concluded that for this period of gamma-ray emission, the radiation production happens at the edge of the BLR of 3C 279.
Both investigations show that IC pair cascades can account for fine structure seen in blazar SEDs. It is insufficient to restrict the radiation transport to pure exponential absorption of an injection term. Pair production and IC up-scattering by all generations of photons and electrons in the optically thick regime critically shape the emerging spectra. As the advent of future improved detectors will provide more high-precision spectra, further observations of narrow spectral features can be expected. It seems therefore recommendable to incorporate cascading into conventional radiation production models or to extend the model developed in this work by synchrotron radiation.
Chapter I
The gradual turnover of dead organic material into mineral nutrients is a key ecological function, linking decomposition and primary production, the essential parts of the nutrient-energy cycle. However, disturbances in terms of species or resource losses might impair the equilibrium between production and decomposition. Humanity has converted large proportions of natural landscapes and intensified land-use activity for food production. Globally, only very few areas are totally unaffected by human activity today.
To ensure the maintenance of both essential ecosystem services, knowledge about the interplay of biodiversity and ecosystem functioning as well as effects of intensified management on both is crucial. The vast majority of terrestrial biomass production as well as decomposition take place in forest ecosystems. Though forestry has a long sustainable history in Europe, its intensification during the last century has caused severe impacts on forest features and, consequently, on the associated biota, especially deadwood dependent organisms. Among these, saproxylic beetles are the most diverse group in terms of species numbers and functional diversity, but also most endangered due to habitat loss. These features classify them as ideal research organisms to study effects of intensified forestry on ecosystem services. The BELONGDEAD project located in Germany aimed to investigate deadwood decay and functional consequences of diversity changes in the associated fauna on the decomposition process from the initialisation of deadwood decay to complete degradation.
As part of the BeLongDead project, this dissertation focussed on saproxylic beetle species, thereby evaluating (1) regionally effects of tree species identity of fresh deadwood and (2) forest management of varying intensities on the diversity, abundance and community composition of saproxylic beetles (chapter II); (3) the specialisation degree of different trophic guilds of saproxylic beetles, and thus the stability and robustness of their interaction networks against disturbances (chapter III); (4) the impact of environmental features of local to regional spatial scales on species richness of saproxylic beetles differing in their habitat niche in terms of deadwood decay stages (chapter IV).
Chapter II
The vast majority of European forest ecosystems have been anthropogenically affected, leaving less than 1% of the about 1 milliard hectare as natural forests. A long history of forestry and especially the technological progress during the last century have caused massive habitat fragmentation as well as substantial loss of essential resources in European forest ecosystems. Due to this, the substrate-dependent group of saproxylic beetles has experienced severe species losses. Thus, investigations concerning saproxylic diversity and deadwood volume were badly needed. However, the importance of different deadwood in terms of tree species identity for the colonization by saproxylic beetles under different local and regional management regimes is poorly understood. Therefore, we studied possible regional differences in colonization patterns of saproxylic beetle species in a total of 688 fresh deadwood logs of 13 tree species in 9 sites of managed conifer and beech forests, and unmanaged beech forests, respectively. We found that tree species identity was an important driver in determining saproxylic species composition and abundance within fresh deadwood. However, saproxylic species showed different colonization patterns of deadwood items of the same tree species among the study regions. Regionally consistent, conifer forests were most diverse. We attribute the latter result to the historically adaption of saproxylic beetle species to semi-open forests, which conditions are actually best reflected by conifer forests. To preserve a diverse local species pool of early successional saproxylic beetles, we suggest an equal high degree of deadwood diversity in a tree species context in due consideration of regional differences.
Chapter III
The extinction risk of a particular species corresponds with its species-specific requirements on resources and habitat conditions, in other words with the width of the species` ecological niche. Species with a narrow ecological niche are defined as specialists. Members of this group experience higher extinction risk by resource limitation than generalists, which are able to utilize a variety of resources. For the classification of species as specialists or generalists, thus evaluating possible extinction risks, ecologists use the concept of interaction networks. This method has often been applied for mutualistic or antagonistic plant-animal interactions, but information for networks of detritivores is scarce. Therefore, saproxylic beetle species sampled as described in chapter II were categorised according to their larval diet; additionally their interaction networks (N=108) with 13 dead host tree species were analysed. Specialisation degree was highest for wood-digesting beetles and decreased with increasing trophic level. Also the network indices evaluating robustness and generality indicated a higher susceptibility to species extinctions for xylophagous than for mycetophagous and predatory beetles. The specialisation of xylophagous species on specific tree species might be an adaption to tree species specific ingredients stored for defence against pathogens and pests. However, we conclude that the high specialisation degree of xylophages and thus their higher extinction risk by resource loss harbours certain dangers for ecosystem function and stability as species diversity is positively linked to both.
Chapter IV
Populations depend on individual emigration and immigration events to ensure genetic exchange. For successful migration it is of utmost importance that spatially separated populations are obtainable by specimen. Migratory success depends on the one hand on the species dispersal abilities and on the other on the availability of suitable habitats in the surrounding landscape in which the distinct host populations exist. However, consequences of intensive forest management correspond not only to severe reduction of local deadwood amount, but, among others, also a change in tree species composition and high levels of fragmentation in the surrounding forest area. Saproxylic beetle species differ in their dispersal behaviour according to the temporal availability of their preferred habitat. Generally, early successional saproxylic beetles are able to disperse over large distances, whereas beetles inhabiting advanced decayed wood often remain close to their larval habitat. Due to this, environmental factors might affect saproxylic beetle guilds differently. We classified the saproxylic beetles sampled as described in chapter II according to their calculated habitat niche as early, intermediate or late successional saproxylic beetles. For the different guilds the effects of 14 environmental factors on different spatial scales (stand factors at 0.1 km radius, landscape composition at 2 km radius, and regionally differing abiotic factors in 400 km to 700 km distance) were investigated. Consistently for all guilds, species richness decreased with fragmentation at local and landscape scale, and increased in warmer climate. However, we found contradictory results between the guilds to some extent. We relate this to guild specific habitat requirements of the saproxylic beetles. Therefore, for the development of appropriate conservation practices guild-specific requirements saproxylic beetles have to be considered not only locally but on larger spatial scales.
Chapter V
In conclusion, this dissertation identified main drivers of early successional saproxylic beetle species richness on various spatial scales. Our results emphasize the importance to develop management schemes meeting species-specific and guild-specific habitat requirements of the saproxylic beetle fauna at relevant spatial and temporal scales. Therefore, short-term actions suggested for sustainable forest management should be the focus on a diverse tree species composition consisting of indigenous tree species with respect to regional differences. Moreover, senescent trees, fallen and standing deadwood should remain in the forests, and some tree individuals should be allowed to grow old. Long-term actions should involve the reduction of forest fragmentation and the connection of spatial widely separated forest fragments. Furthermore, to fully understand the effects of forest management long-term research should be conducted to compare habitat requirements of intermediate and late successional beetles with the results presented in this dissertation.
Methionine is the first amino acid of every newly synthesised protein. In combination with its role as precursor for the vital methyl-group donor S-adenosylmethionine, methionine is essential for every living cell. The opportunistic human pathogen Staphylococcus aureus is capable of synthesising methionine de novo, when it becomes scarce in the environment. All genes required for the de novo biosynthesis are encoded by the metICFE-mdh operon, except for metX. Expression is controlled by a hierarchical network with a methionyl-tRNA-specific T-box riboswitch (MET-TBRS) as centrepiece, that is also referred to as met leader (RNA). T-box riboswitches (TBRS) are regulatory RNA elements located in the 5’-untranslated region (5’-UTR) of genes. The effector molecule of T-box riboswitches is uncharged cognate tRNA. The prevailing mechanism of action is premature termination of transcription of the nascent RNA in the absence of the effector (i.e. uncharged cognate tRNA) due to formation of a hairpin structure, the Terminator stem. In presence of the effector, a transient stabilisation of the alternative structure, the Antiterminator, enables transcription of the downstream genes (‘read-through’). Albeit, after the read-through the thermodynamically more stable Terminator eventually forms. The Terminator and the Antiterminator are two mutually exclusive structures. Previous work of the research group showed that in staphylococci the MET-TBRS ensures strictly methionine-dependent control of met operon expression. Uncharged methionyl-tRNA that activates the system is only present in sufficient amounts under methionine-deprived conditions. In contrast to other bacterial TBRS, the staphylococcal MET-TBRS has some characteristic features regarding its length and predicted secondary structure whose relevance for the function are yet unkown.
Aim of the present thesis was to experimentally determine the structure of the met leader RNA and to investigate the stability of the met operon-specific transcripts in the context of methionine biosynthesis control. Furthermore, the yet unknown function of the mdh gene within the met operon was to be determined.
In the context of this thesis, the secondary structure of the met leader was determined employing in-line probing. The structural analysis revealed the presence of almost all highly conserved T-box riboswitch structural characteristics. Furthermore, three additional stems, absent in all T-box riboswitches analysed to date, could be identified. Particularly remarkable is the above average length of the Terminator stem which renders it a potential target of the double-strand-specific endoribonuclease III (RNase III). The RNase III-dependent cleavage of the met leader could be experimentally verified by the use of suitable mutants. Moreover, the exact cleavage site within the Terminator was determined.
The unusual immediate separation of the met leader from the met operon mRNA via the RNase III cleavage within the Terminator stem induces the rapid degradation of the met leader RNA and, most likely, that of the 5’-region of the met mRNA. The met mRNA is degraded from its 5’-end by the exoribonuclease RNase J. The stability of the met mRNA was found to vary over the length of the transcript with an instable 5’-end (metI and metC) and a longer half-life towards the 3’-end (metE and mdh). The varying transcript stability is reflected by differences in the available cellular protein levels. The obtained data suggest that programmed mRNA degradation is another level of regulation in the complex network of staphylococcal de novo methionine biosynthesis control.
In addition, the MET-TBRS was studied with regard to a future use as a drug target for novel antimicrobial agents. To this end, effects of a dysregulated methionine biosynthesis on bacterial growth and survival were investigated in met leader mutants that either caused permanent transcription of the met operon (‘ON’) or prevented operon transcription (‘OFF’), irrespective of the methionine status in the cell. Methionine deprivation turned out to be a strong selection pressure, as ‘OFF’ mutants acquired adaptive mutations within the met leader to restore met operon expression that subsequently re-enabled growth.
The second part of the thesis was dedicated to the characterisation of the Mdh protein that is encoded by the last gene of the met operon and whose function is unknown yet. At first, co-transcription and -expression with the met operon could be demonstrated. Next, the Mdh protein was overexpressed and purified and the crystal structure of Mdh was solved to high resolution by the Kisker research group (Rudolf-Virchow-Zentrum Würzburg). Analysis of the structure revealed the amino acid residues crucial for catalytic activity, and zinc was identified as a co-factor of Mdh. Also, Mdh was shown to exist as a dimer. However, identification of the Mdh substrate was, in the context of this thesis, (still) unsuccessful. Nevertheless, interactions of Mdh with enzymes of the met operon could be demonstrated by employing the bacterial two-hybrid system. This fact and the high conservation of mdh/Mdh on nucleotide and amino acid level among numerous staphylococcal species suggests an important role of Mdh within the methionine metabolism that should be a worthwhile subject of future research.
Human actions are generally not determined by external stimuli, but by internal goals and by the urge to evoke desired effects in the environment. To reach these effects, humans typically have to act. But at times, deciding not to act can be better suited or even the only way to reach a desired effect. What mental processes are involved when people decide not to act to reach certain effects? From the outside it may seem that nothing remarkable is happening, because no action can be observed. However, I present three studies which disclose the cognitive processes that control nonactions.
The present experiments address situations where people intentionally decide to omit certain actions in order to produce a predictable effect in the environment. These experiments are based on the ideomotor hypothesis, which suggests that bidirectional associations can be formed between actions and the resulting effects. Because of these associations, anticipating the effects can in turn activate the respective action. The results of the present experiments show that associations can be formed between nonactions (i.e., the intentional decision not to act) and the resulting effects. Due to these associations, perceiving the nonaction effects encourages not acting (Exp. 1–3). What is more, planning a nonaction seems to come with an activation of the effects that inevitably follow the nonaction (Exp. 4–5). These results suggest that the ideomotor hypothesis can be expanded to nonactions and that nonactions are cognitively represented in terms of their sensory effects. Furthermore, nonaction effects can elicit a sense of agency (Exp. 6–8). That is, even though people refrain from acting, the resulting nonaction effects are perceived as self-produced effects.
In a nutshell, these findings demonstrate that intentional nonactions include specific mechanisms and processes, which are involved, for instance, in effect anticipation and the sense of agency. This means that, while it may seem that nothing remarkable is happening when people decide not to act, complex processes run on the inside, which are also involved in intentional actions.
Attention-deficit/hyperactivity disorder (ADHD) is a genetically complex childhood onset neurodevelopmental disorder which is highly persistent into adulthood. Several chromo-somal regions associated with this disorder were identified previously in genome-wide linkage scans, association (GWA) and copy number variation (CNV) studies. In this work the results of case-control and family-based association studies using a can-didate gene approach are presented. For this purpose, possible candidate genes for ADHD have been finemapped using mass array-based SNP genotyping. The genes KCNIP4, CDH13 and DIRAS2 have been found to be associated with ADHD and, in addition, with cluster B and cluster C personality disorders (PD) which are known to be related to ADHD. Most of the associations found in this work would not withstand correction for multiple testing. However, a replication in several independent populations has been achieved and in conjunction with previous evidence from linkage, GWA and CNV studies, it is assumed that there are true associations between those genes and ADHD. Further investigation of DIRAS2 by quantitative real-time PCR (qPCR) revealed expression in the hippocampus, cerebral cortex and cerebellum of the human brain and a significant increase in Diras2 expression in the mouse brain during early development. In situ hybrid-izations on murine brain slices confirmed the results gained by qPCR in the human brain. Moreover, Diras2 is expressed in the basolateral amygdala, structures of the olfactory system and several other brain regions which have been implicated in the psychopatholo-gy of ADHD. In conclusion, the results of this work provide further support to the existence of a strong genetic component in the pathophysiology of ADHD and related disorders. KCNIP4, CDH13 and DIRAS2 are promising candidates and need to be further examined to get more knowledge about the neurobiological basis of this common disease. This knowledge is essential for understanding the molecular mechanisms underlying the emergence of this disorder and for the development of new treatment strategies.
This work investigates the correlations between spin states and the light emission properties of organic light-emitting diodes (OLEDs), which are based on the principle of thermally activated delayed fluorescence. The spin-spin interactions responsible for this mechanism are investigated in this work using methods based on spin-sensitive electron paramagnetic resonance (EPR). In particular, this method has been applied to electrically driven OLEDs. The magnetic resonance has been detected by electroluminescence, giving this method its name: electroluminescence detected magnetic resonance (ELDMR).
Initial investigations on a novel deep blue TADF emitter were performed. Furthermore, the ELDMR method was used in this work to directly detect the spin states in the OLED. These measurements were further underlined by time-resolved experiments such as transient electro- and photoluminescence.
Spir proteins are the founding members of the novel class of WH2-actin nucleators. A C-terminal modified FYVE zinc finger motif is necessary to target Spir proteins towards intracellular membranes. The function and regulation of the Spir actin organizers at vesicular membranes is almost unknown. Live cell imaging analyses performed in this study show that Spir-2 is localized at tubular vesicles. Cytoplasmic Spir-2-associated vesicles branch and form protrusions, which can make contacts to the microtubule network, where the Spir-2 vesicles stretch and slide along the microtubule filaments. The analysis of living HeLa cells expressing eGFP-tagged Spir-2, Spir-2-ΔKIND and Spir-2-ΔKW (lacking the 4 WH2 domains and the KIND domain) showed Spir-2-associated tubular structures which differ in their length and motility. Throughout the course of that study it could be shown that the tail domain of the actin motor protein myosin Vb, as a force-generating molecule, is colocalizing and co-immunoprecipitating with Spir-2-ΔKW. By using the tail domain of myosin Vb as a dominant negative mutant for myosin Vb-dependent vesicle transport processes it could be shown that Spir-2-ΔKW/MyoVb-cc-tail- associated vesicles exhibit an increased elongation. Moreover, using the microtubule depolymerizing drug nocodazole it could be shown that the elongation and the motility of Spir-2-ΔKW-associated vesicles depends on an intact microtubule cytoskeleton. Motility and morphological dynamics of Spir-2-associated vesicles is therefore dependent on actin, actin motorproteins and microtubule filaments. These results propose a model in which myosin/F-actin forces mediate vesicle branching, allowing the vesicles to move to and in between the microtubule filaments and thereby providing a new degree of freedom in vesicular motility. To determine the exact subcellular localization of Spir-2, colocalization studies were performed. It could be shown that Spir-2 shows a partial colocalization to Rab11a-positive compartments. Furthermore, Spir-2 exhibits an almost identical localization to Arf1 and the Arf1 small G protein but not Rab11a could be immunoprecipitated with Spir-2-ΔKW. This suggests, that Arf1 recruits Spir-2 to Arf1/Rab11a-positive membranes. Another important function of the Spir-2 C-terminus is the membrane targeting by the FYVE domain. By performing a protein-lipid overlay assay, it has been shown that purified GST- and 6xHis-tagged Spir-2-ΔKW bind phosphatidic acid suggesting a mechanism in which Spir-2 is recruited to phosphatidic acid-enriched membranes. To further elucidate the mechanism in which Spir-2 membrane-targeting could be regulated, interaction studies of C-terminal parts of Spir-2 revealed that the Spir-2 proteins interact directly.
The present dissertation aims to shed light on different mechanisms of socio-emotional feedback in social decision-making situations. The objective is to evaluate emotional facial expressions as feedback stimuli, i.e., responses of interaction partners to certain social decisions. In addition to human faces, artificial emojis are also examined due to their relevance for modern digital communication. Previous research on the influence of emotional feedback suggests that a person's behavior can be effectively reinforced by rewarding stimuli. In the context of this dissertation, the differences in the feedback processing of human photographs and emojis, but also the evaluation of socially expected versus socially unexpected feedback were examined in detail in four studies. In addition to behavioral data, we used the electroencephalogram (EEG) in all studies to investigate neural correlates of social decision-making and emotional feedback.
As the central paradigm, all studies were based on a modified ultimatum game. The game is structured as follows: there is a so-called proposer who holds a specific amount of money (e.g., 10 cents) and offers the responder a certain amount (e.g., 3 cents). The responder then decides whether to accept or reject the offer. In the version of the ultimatum game presented here, different types of proposers are introduced. After the participants have accepted or rejected in the role of the responder, the different proposers react to the participant’s decision with specific emotional facial expressions. Different feedback patterns are used for the individual experiments conducted in the course of this dissertation.
In the first study, we investigated the influence of emotional feedback on decision-making in the modified version of the ultimatum game. We were able to show that a proposer who responds to the acceptance of an offer with a smiling face achieves more accepted offers overall than a control proposer who responds to both accepted and rejected offers with a neutral facial expression. Consequently, the smile served as a positive reinforcement. Similarly, a sad expression in response to a rejected offer also resulted in higher acceptance rates as compared to the control identity, which could be considered an expression of compassion for that proposer. On a neuronal level, we could show that there are differences between simply looking at negative emotional stimuli (i.e., sad and angry faces) and their appearance as feedback stimuli after rejected offers in the modified ultimatum game. The so-called feedback-related negativity was reduced (i.e., more positive) when negative emotions appeared as feedback from the proposers. We argued that these findings might show that the participants wanted to punish the proposers by rejecting an offer for its unfairness and therefore the negative feedback met their expectations. The altered processing of negative emotional facial expressions in the ultimatum game could therefore indicate that the punishment is interpreted as successful. This includes the expectation that the interaction partner will change his behavior in the future and eventually make fairer offers.
In the second study we wanted to show that smiling and sad emojis as feedback stimuli in the modified ultimatum game can also lead to increased acceptance rates. Contrary to our assumptions, this effect could not be observed. At the neural level as well, the findings did not correspond to our assumptions and differed strongly from those of the first study. One finding, however, was that the neural P3 component showed how the use of emojis as feedback stimuli particularly characterizes certain types of proposers. This is supported by the fact that the P3 is increased for the proposer who rewards an acceptance with a smile as well as for the proposer who reacts to rejection with a sad emoji compared to the neutral control proposer.
The third study examined the discrepancy between the findings of the first and second study. Accordingly, both humans and emojis representing the different proposers were presented in the ultimatum game. In addition, emojis were selected that showed a higher similarity to known emojis from common messenger services compared to the second study. We were able to replicate that the proposers in the ultimatum game, who reward an acceptance of the offer with a smile, led to an increased acceptance rate compared to the neutral control proposers. This difference is independent of whether the proposers are represented by emojis or human faces. With regard to the neural correlates, we were able to demonstrate that emojis and human faces differ strongly in their neural processing. Emojis showed stronger activation than human faces in the face-processing N170 component, the feedback-related negativity and the P3 component. We concluded that the results of the N170 and feedback-related negativity could indicate a signal for missing social information of emojis compared to faces. The increased P3 amplitude for emojis might imply that emojis appear unexpectedly as reward stimuli in a social decision task compared to human faces.
The last study of this project dealt with socially unexpected feedback. In comparison to the first three studies, new proposer identities were implemented. In particular, the focus was on a proposer who reacted to the rejection of an offer unexpectedly with a smile and to the acceptance with a neutral facial expression. According to the results, participants approach this unexpected smile through increased rejection, although it is accompanied by financial loss. In addition, as reported in studies one and three, we were able to show that proposers who respond to the acceptance of an offer with a smiling face and thus meet the expectations of the participants have higher offer acceptance rates than the control proposer. At the neuronal level, especially the feedback from the socially unexpected proposer led to an increased P3 amplitude, which indicates that smiling after rejection is attributed a special subjective importance.
The experiments provide new insights into the social influence through emotional feedback and the processing of relevant social cues. Due to the conceptual similarity of the studies, it was possible to differentiate between stable findings and potentially stimulus-dependent deviations, thus creating a well-founded contribution to the current research. Therefore, the novel paradigm presented here, and the knowledge gained from it could also play an important role in the future for clinical questions dealing with limited social competencies.
The human pathogen Aspergillus (A.) fumigatus is a fungal mold that can cause severe infections in immunocompromised hosts. Pathogen recognition and immune cell cross-talk are essential for clearing fungal infections efficiently. Immune cell interactions in particular may enhance individual cell activation and cytotoxicity towards invading pathogens.
This study analyzed the reciprocal cell activation of natural killer (NK) cells and monocyte-derived dendritic cells (moDCs) after stimulation with A. fumigatus cell wall fractions and whole-cell lysates. Furthermore, the impact of the on moDCs expressed fungal receptors Dectin-1 and TLR-2 on NK cell activation was analyzed. Stimulation of moDCs with ligands for Dectin-1 and TLR-2 and transfer of soluble factors on autologous NK cells showed that moDCs could induce NK cell activation solely by secreting factors. In summary, both cell types could induce reciprocal cell activation if the stimulated cell type recognized fungal morphologies and ligands. However, moDCs displayed a broader set of A. fumigatus receptors and, therefore, could induce NK cell activation when those were not activated by the stimulus directly.
Consequently, new fungal receptors should be identified on NK cells. The NK cell characterization marker CD56 was reduced detected in flow cytometry after fungal co-culture. Notably, this decreased detection was not associated with NK cell apoptosis, protein degradation, internalization, or secretion of CD56 molecules. CD56 was shown to tightly attach to hyphal structures, followed by its concentration at the NK-A. fumigatus interaction site. Actin polymerization was necessary for CD56 relocalization, as pre-treatment of NK cells with actin-inhibitory reagents abolished CD56 binding to the fungus. Blocking of CD56 suppressed fungal mediated NK cell activation and secretion of the immune-recruiting chemokines MIP-1α, MIP-1β, and RANTES, concluding that CD56 is functionally involved in fungal recognition by NK cells.
CD56 binding to fungal hyphae was inhibited in NK cells obtained from patients during immune-suppressing therapy after allogeneic stem cell transplantation (alloSCT). Additionally, reduced binding of CD56 correlated with decreased actin polymerization of reconstituting NK cells challenged with the fungus. The immune-suppressing therapy with corticosteroids negatively influenced the secretion of MIP-1α, MIP-1β, and RANTES in NK cells after fungal stimulation ex vivo. Similar results were obtained when NK cells from healthy donors were treated with corticosteroids prior to fungal co-culture. Thus, corticosteroids were identified to have detrimental effects on NK cell function during infection with A. fumigatus.
The unicellular pathogen Trypanosoma brucei is the causative agent of African
trypanosomiasis, an endemic disease prevalent in sub-Saharan Africa. Trypanosoma brucei alternates between a mammalian host and the tsetse fly vector. The extracellular parasite survives in the mammalian bloodstream by periodically exchanging their ˈvariant surface glycoproteinˈ (VSG) coat to evade the host immune response. This antigenic variation is achieved through monoallelic expression of one VSG variant from subtelomeric ˈbloodstream
form expression sitesˈ (BES) at a given timepoint. During the differentiation from the bloodstream form (BSF) to the procyclic form (PCF) in the tsetse fly midgut, the stage specific surface protein is transcriptionally silenced and replaced by procyclins. Due to their subtelomeric localization on the chromosomes, VSG transcription and silencing is partly regulated by homologues of the mammalian telomere complex such as TbTRF, TbTIF2 and TbRAP1 as well as by ˈtelomere-associated proteinsˈ (TelAPs) like TelAP1. To gain more insights into transcription regulation of VSG genes, the identification and characterization of other TelAPs is critical and has not yet been achieved. In a previous study, two biochemical approaches were used to identify other novel TelAPs. By using ˈco-immunoprecipitationˈ (co-IP) to enrich possible interaction partners of TbTRF and by affinity chromatography using telomeric repeat oligonucleotides, a listing of TelAP candidates has been conducted. With this approach TelAP1 was identified as a novel component of the telomere complex, involved in the kinetics of transcriptional BES silencing during BSF to PCF differentiation. To gain further insights into the telomere complex composition, other previously enriched proteins were characterized through a screening process using RNA interference to deplete potential candidates. VSG expression profile changes and overall proteomic changes after depletion were analyzed by mass spectrometry. With this method, one can gain insights into the functions of the proteins and their involvement in VSG expression site regulation. To validate the interaction of proteins enriched by co-IP with TbTRF and TelAP1 and to identify novel interaction proteins, I performed reciprocal affinity purifications of the four most promising candidates (TelAP2, TelAP3, PPL2 and PolIE) and additionally confirmed colocalization of two candidates with TbTRF via immunofluorescence (TelAP2, TelAP3). TelAP3 colocalizes with TbTRF and potentially interacts with TbTRF, TbTIF2, TelAP1 and TelAP2, as well as with two translesion polymerases PPL2 and PolIE in BSF. PPL2 and PolIE seem to be in close contact to each other at the telomeric ends and fulfill different roles as only PolIE is involved in VSG regulation while PPL2 is not. TelAP2 was previously characterized to be associated with telomeres by partially colocalizing with TbTRF and cells show a VSG derepression phenotype when the protein was depleted. Here I show that TelAP2 interacts with the telomere-binding proteins TbTRF and TbTIF2 as well as with the telomere-associated protein TelAP1 in BSF and that TelAP2 depletion results in a loss of TelAP1 colocalization with TbTRF in BSF.
In conclusion, this study demonstrates that characterizing potential TelAPs is effective in gaining insights into the telomeric complex's composition and its role in VSG regulation in Trypanosoma brucei. Understanding these interactions could potentially lead to new therapeutic targets for combatting African trypanosomiasis.
Cardiac healing after myocardial infarction (MI) represents the cardinal prerequisite for proper replacement of the irreversibly injured myocardium. In contrast to innate immunity, the functional role of adaptive immunity in postinfarction healing has not been systematically addressed. The present study focused on the influence of CD4+ T lymphocytes on wound healing and cardiac remodeling after experimental myocardial infarction in mice. Both conventional and Foxp3+ regulatory CD4+ T cells (Treg cells) became activated in heart draining lymph nodes after MI and accumulated in the infarcted myocardium. T cell activation was strictly antigen-dependant as T cell receptor-transgenic OT-II mice in which CD4+ T cells exhibit a highly limited T cell
receptor repertoire did not expand in heart-draining lymph nodes post-MI. Both OT-II and major histocompatibility complex class II-deficient mice lacking a CD4+ T cell compartment showed a fatal clinical postinfarction outcome characterized by disturbed scar tissue construction that resulted in impaired survival due to a prevalence of left-ventricular ruptures. To assess the contribution of anti-inflammatory Treg cells on wound healing after MI, the Treg cell compartment was depleted using DEREG mice that specifically express the human diphtheria toxin receptor in Foxp3-positive cells, resulting in Treg cell ablation after diphtheria toxin administration. In a parallel line of experiments, a second model of anti-CD25 antibody-mediated Treg cell immuno-depletion was used. Treg cell ablation prior to MI resulted in adverse postinfarction left-ventricular dilatation associated with cardiac deterioration. Mechanistically, Treg cell depletion resulted in an increased recruitment of pro-inflammatory neutrophils and Ly-6Chigh monocytes into the healing myocardium. Furthermore, Treg cell-ablated mice exhibited an adverse activation of conventional non-regulatory CD4+ and CD8+ T cells that
showed a reinforced infiltration into the infarct zone. Increased synthesis of TNFα and IFNγ by conventional CD4+ and CD8+ T cells in hearts of Treg cell-depleted mice provoked an M1-like macrophage polarization characterized by heightened expression of healing-compromising induced NO synthase, in line with a reduced synthesis of healing-promoting transglutaminase factor XIII (FXIII), osteopontin (OPN) and transforming growth factor beta 1 (TGFβ1).
Therapeutic Treg cell activation by a superagonistic anti-CD28 monoclonal antibody stimulated Treg cell accumulation in the infarct zone and led to an increased expression of mediators inducing an M2-like macrophage polarization state, i.e. interleukin-10, interleukin-13 and TGFβ1. M2-like macrophage differentiation in the healing infarct was associated with heightened expression of scar-forming procollagens as well as scar-stabilizing FXIII and OPN, resulting in improved survival due to a reduced incidence of left-ventricular ruptures. Therapeutic Treg cell activation and the induction of a beneficial M2-like macrophage polarization was further achieved by employing a treatment modality of high clinical potential, i.e. by therapeutic administration of IL-2/ anti-IL-2 monoclonal antibody complexes. The findings of the present study suggest that therapeutic Treg cell activation and the resulting improvement of healing may represent a suitable strategy to attenuate adverse infarct expansion, left-ventricular remodeling, or infarct ruptures in patients with MI.
The Myb-MuvB (MMB) multiprotein complex is a master regulator of cell cycle-dependent gene expression. Target genes of MMB are expressed at elevated levels in several different cancer types and are included in the chromosomal instability (CIN) signature of lung, brain, and breast tumors.
This doctoral thesis showed that the complete loss of the MMB core subunit LIN9 leads to strong proliferation defects and nuclear abnormalities in primary lung adenocarcinoma cells. Transcriptome profiling and genome-wide DNA-binding analyses of MMB in lung adenocarcinoma cells revealed that MMB drives the expression of genes linked to cell cycle progression, mitosis, and chromosome segregation by direct binding to promoters of these genes. Unexpectedly, a previously unknown overlap between MMB-dependent genes and several signatures of YAP-regulated genes was identified. YAP is a transcriptional co-activator acting downstream of the Hippo signaling pathway, which is deregulated in many tumor types. Here, MMB and YAP were found to physically interact and co-regulate a set of mitotic and cytokinetic target genes, which are important in cancer. Furthermore, the activation of mitotic genes and the induction of entry into mitosis by YAP were strongly dependent on MMB. By ChIP-seq and 4C-seq, the genome-wide binding of MMB upon YAP overexpression was analyzed and long-range chromatin interaction sites of selected MMB target gene promoters were identified. Strikingly, YAP strongly promoted chromatin-association of B-MYB through binding to distal enhancer elements that interact with MMB-regulated promoters through chromatin looping.
Together, the findings of this thesis provide a so far unknown molecular mechanism by which YAP and MMB cooperate to regulate mitotic gene expression and suggest a link between two cancer-relevant signaling pathways.
The human African trypanosomiasis is a neglected tropical disease, which is caused by the protozoan Trypanosoma brucei and transmitted by the bite of the tsetse fly. An untreated infection leads to death. However, only a few drugs with significant drawbacks are currently available for treatment. In this thesis, quinolone amides with an antitrypanosomal activity were synthesized and their biological and physicochemical properties were measured. New structure-activity relationships and a promising lead structure were discovered.
The present dissertation investigates the management of RFID implementations in retail trade. Our work contributes to this by investigating important aspects that have so far received little attention in scientific literature. We therefore perform three studies about three important aspects of managing RFID implementations. We evaluate in our first study customer acceptance of pervasive retail systems using privacy calculus theory. The results of our study reveal the most important aspects a retailer has to consider when implementing pervasive retail systems. In our second study we analyze RFID-enabled robotic inventory taking with the help of a simulation model. The results show that retailers should implement robotic inventory taking if the accuracy rates of the robots are as high as the robots’ manufacturers claim. In our third and last study we evaluate the potentials of RFID data for supporting managerial decision making. We propose three novel methods in order to extract useful information from RFID data and propose a generic information extraction process. Our work is geared towards practitioners who want to improve their RFID-enabled processes and towards scientists conducting RFID-based research.
The aim of this project was to investigate whether reflex-like innate facial reactions to tastes and odors are altered in patients with eating disorders. Qualitatively different tastes and odors have been found to elicit specific facial expressions in newborns. This specificity in newborns is characterized by positive facial reactions in response to pleasant stimuli and by negative facial reactions in response to unpleasant stimuli. It is, however, unclear, whether these specific facial displays remain stable during ontogeny (1). Despite the fact that several studies had shown that taste-and odor-elicited facial reactions remain quite stable across a human’s life-span, the specificity of research questions, as well as different research methods, allow only limited comparisons between studies. Moreover, the gustofacial response patterns might be altered in pathological eating behavior (2). To date, however, the question of whether dysfunctional eating behavior might alter facial activity in response to tastes and odors has not been addressed. Furthermore, changes in facial activity might be linked to deficient inhibitory facial control (3). To investigate these three research questions, facial reactions in response to tastes and odors were assessed. Facial reactions were analyzed using the Facial Action Coding System (FACS, Ekman & Friesen, 1978; Ekman, Friesen, & Hager, 2002) and electromyography.
This thesis aimed the development of a correlated device which combines FluidFM® with Fluorescence Microscopy (FL) (FL-FluidFM®) and enables the simultaneous quantification of adhesion forces and fluorescent visualization of mature cells. The implementation of a PIFOC was crucial to achieve a high-resolution as well as a stable but dynamic focus level. The functionality of SCFS after hardware modification was verified by comparing two force-curves, both showing the typical force progression and measured with the optimized and conventional hardware, respectively. Then, the integration of FL was examined by detaching fluorescently labeled REF52 cells. The fluorescence illumination of the cytoskeleton showed the expected characteristic force profile and no evidence of interference effects. Afterwards a corresponding correlative data analysis was addressed including manual force step fitting, the identification of visualized cellular unbinding, and a time-dependent correlation. This procedure revealed a link between the area of cytoskeletal unbinding and force-jumps. This was followed by a comparison of the detachment characteristics of intercellular connected HUVECs and individual REF52 cells. HUVECs showed maximum detachment forces in the same order of magnitude as the ones of single REF52 cells. This contrasted with the expected strong cohesiveness of endothelial cells and indicated a lack of cell-cell contact formation. The latter was confirmed by a comparison of HUVECs, primary HBMVECs, and immortalized EA.hy926 cells fluorescently labeled for two marker proteins of intercellular junctions. This unveiled that both the previous cultivation duration and the cell type have a major impact on the development of intercellular junctions. In summary, the correlative FL FluidFM® represents a powerful novel approach, which enables a truly contemporaneous performance and, thus, has the potential to reveal new insights into the mechanobiological properties of cell adhesion.
In this thesis, I establish new relations between quantum information measures in a two-dimensional CFT and geometric objects in a three-dimensional AdS space employing the AdS/CFT correspondence. I focus on two quantum information measures: the computational cost of quantum circuits in a CFT and Berry phases in two entangled CFTs. In particular, I show that these quantities are associated with geometric objects in the dual AdS space.
Adrenal Cushing’s Syndrome (CS) is a rare but life-threatening disease and therefore it is of great importance to understand the pathogenesis leading to adrenal CS. It is well accepted that Protein Kinase A (PKA) signalling mediates steroid secretion in adrenocortical cells. PKA is an inactive heterotetramer, consisting of two catalytic and two regulatory subunits. Upon cAMP binding to the regulatory subunits, the catalytic subunits are released and are able to phosphorylate their target proteins. Recently, activating somatic mutations affecting the catalytic subunit a of PKA have been identified in a sub-population of cortisol-producing adenomas (CPAs) associated with overt CS. Interestingly, the PKA regulatory subunit IIb has long been known to have significantly lower protein levels in a sub-group of CPAs compared to other adrenocortical tumours. Yet, it is unknown, why these CPAs lack the regulatory subunit IIb, neither are any functional consequences nor are the underlying regulation mechanisms leading to reduced RIIb levels known. The results obtained in this thesis show a clear connection between Ca mutations and reduced RIIb protein levels in CPAs but not in other adrenocortical tumours. Furthermore, a specific pattern of PKA subunit expression in the different zones of the normal adrenal gland is demonstrated. In addition, a Ca L206R mutation-mediated degradation of RIIb was observed in adrenocortical cells in vitro. RIIb degradation was found to be mediated by caspases and by performing mutagenesis experiments of the regulatory subunits IIb and Ia, S114 phosphorylation of RIIb was identified to make RIIb susceptible for degradation. LC-MS/MS revealed RIIb interaction partners to differ in the presence of either Ca WT and Ca L206R. These newly identified interaction partners are possibly involved in targeting RIIb to subcellular compartments or bringing it into spatial proximity of degrading enzymes. Furthermore, reducing RIIb protein levels in an in vitro system were shown to correlate with increased cortisol secretion also in the absence of PRKACA mutations. The inhibiting role of RIIb in cortisol secretion demonstrates a new function of this regulatory PKA subunit, improving the understanding of the complex regulation of PKA as key regulator in many cells.
The work presented in this thesis covers the effects of early-life adversity in the context of altered serotonin (5-HT; 5-hydroxytryptamine) system functioning in mice. The main body is focussing on a screening approach identifying molecular processes, potentially involved in distinct behavioural manifestations that emerge from or are concomitant with early adversity and, with regard to some behavioural manifestations, dependent on the functioning of the 5-HT system.
The social organization of insect colonies has long fascinated naturalists. One of the main features of colony organization is division of labor, whereby each member of the colony specializes in a subset of all tasks required for successful group functioning. The most striking aspect of division of labor is its plasticity: workers switch between tasks in response to external challenges and internal perturbations. The mechanisms underlying flexible division of labor are far from being understood. In order to comprehend how the behavior of individuals gives rise to flexible collective behavior, several questions need to be addressed: We need to know how individuals acquire information about their colony's current demand situation; how they then adjust their behavior according; and which mechanisms integrate dozens or thousands of insect into a higher-order unit. With these questions in mind I have examined two examples of collective and flexible behavior in social bees. First, I addressed the question how a honey bee colony controls its pollen collection. Pollen foraging in honey bees is precisely organized and carefully regulated according to the colony's needs. How this is achieved is unclear. I investigated how foragers acquire information about their colony's pollen need and how they then adjust their behavior. A detailed documentation of pollen foragers in the hive under different pollen need conditions revealed that individual foragers modulate their in-hive working tempo according to the actual pollen need of the colony: Pollen foragers slowed down and stayed in the hive longer when pollen need was low and spent less time in the hive between foraging trips when pollen need of their colony was high. The number of cells inspected before foragers unloaded their pollen load did not change and thus presumably did not serve as cue to pollen need. In contrast, the trophallactic experience of pollen foragers changed with pollen need conditions: trophallactic contacts were shorter when pollen need was high and the number and probability of having short trophallactic contacts increased when pollen need increased. Thus, my results have provided support for the hypothesis that trophallactic experience is one of the various information pathways used by pollen foragers to assess their colony's pollen need. The second example of collective behavior I have examined in this thesis is the control of nest climate in bumble bee colonies, a system differing from pollen collection in honey bees in that information about task need (nest climate parameters) is directly available to all workers. I have shown that an increase in CO2 concentration and temperature level elicits a fanning response whereas an increase in relative humidity does not. The fanning response to temperature and CO2 was graded; the number of fanning bees increased with stimulus intensity. Thus, my study has evidenced flexible colony level control of temperature and CO2. Further, I have shown that the proportion of total work force a colony invests into nest ventilation does not change with colony size. However, the dynamic of the colony response changes: larger colonies show a faster response to perturbations of their colony environment than smaller colonies. Thus, my study has revealed a size-dependent change in the flexible colony behavior underlying homeostasis. I have shown that the colony response to perturbations in nest climate is constituted by workers who differ in responsiveness. Following a brief review of current ideas and models of self-organization and response thresholds in insect colonies, I have presented the first detailed investigation of interindividual variability in the responsiveness of all workers involved in a collective behavior. My study has revealed that bumble bee workers evidence consistent responses to certain stimulus levels and differ in their response thresholds. Some consistently respond to low stimulus intensities, others consistently respond to high stimulus intensities. Workers are stimulus specialists rather than task specialists. Further, I have demonstrated that workers of a colony differ in two other parameters of responsiveness: response probability and fanning activity. Response threshold, response probability and fanning activity are independent parameters of individual behavior. Besides demonstrating and quantifying interindividual variability, my study has provided empirical support for the idea of specialization through reinforcement. Response thresholds of fanning bees decreased over successive trials. I have discussed the importance of interindividual variability for specialization and the collective control of nest climate and present a general discussion of self-organization and selection. This study contributes to our understanding of individual behavior and collective structure in social insects. A fascinating picture of social organization is beginning to emerge. In place of centralized systems of communication and information transmission, insect societies frequently employ mechanisms based upon self-organization. Self-organization promises to be an important and unifying principle in physical, chemical and biological systems.
The human body has very good self-healing capabilities for numerous different injuries to a variety of different tissues. This includes the main human mechanical framework, the skeleton. The skeleton is limited in its healing without additional aid by medicine mostly by the defect size. When the defect reaches a size above 2.5 cm the regeneration of the defect ends up faulty. Here is where implants, defect fillers and other support approaches developed in medicine can help the body to heal the big defect still successfully.
Usually sturdy implants (auto-/allo-/xenogenic) are implanted in the defect to bridge the distance, but for auto- and allogenic implants a suitable donor site must be found and for all sources the implant needs to be shaped into the defect specific site to ensure a perfect fit, the best support and good healing. This shaping is very time consuming and prone to error, already in the planning phase. The use of a material that is moldable and sets in the desired shape shortly after applying negates these disadvantages. Cementitious materials offer exactly this property by being in a pasty stage after the powder and liquid components have been mixed and the subsequently hardening to a solid implant. These properties also enable the extrusion, and therefore may also enable the injection, of the cement via a syringe in a minimal invasive approach.
To enable a good injection of the cement modifications are necessary. This work aimed to modify commonly used calcium phosphate-based cement systems based on α-TCP (apatitic) and β-TCP (brushitic). These have been modified with sodium phytate and phytic acid, respectively. Additionally, the α-TCP system has been modified with sodium pyrophosphate, in a second study, to create a storable aqueous paste that can be activated once needed with a highly concentrated sodium orthophosphate solution.
The powder phase of the α-TCP cement system consisted of nine parts α-TCP and one part CDHA. These were prepared to have different particle sizes and therefore enable a better powder flowability through the bimodal size distribution. α-TCP had a main particle size of 20 μm and CDHA of 2.6 μm. The modification with sodium phytate led to an adsorption of phytate ions on the surface of the α-TCP particles, where they started to form complexes with the Ca2+ ions in the solution. This adsorption had two effects. The first was to make the calcium ions unavailable, preventing supersaturation and ultimately the precipitation of CDHA what would lead to the cement hardening. The second was the increase of the absolute value of the surface charge, zeta potential, of the powder in the cement paste. Here a decrease from +3 mV to -40 mV could be measured. A strong value for the zeta potential leads to a higher repulsion of similarly charged particles and therefore prevents powder agglomeration and clogging on the nozzle during injection. These two modifications (bimodal particles size distribution and phytic acid) lead to a significant increase in the paste injectability. The unmodified paste was injectable for 30 % only, where all modified pastes were practically fully injectable ~90 % (the residual paste remained in the nozzle, while the syringe plunger already reached the end of the syringe).
A very similar observation could be made for the β-TCP system. This system was modified with phytic acid. The zeta potential was decreased even stronger from -10 ± 1.5 mV to -71.5 ± 12 mV. The adsorption of the phytate ions and subsequent formation of chelate complexes with the newly dissolved Ca2+ ions also showed a retarding effect in the cements setting reaction. Where the unmodified cement was not measurable in the rheometer, as the reaction was faster than the measurement setup (~1.5 min), the modified cements showed a transition through the gel point between 3-6 min. This means the pastes stayed between 2 and 4 times longer viscous than without the modification. Like with the first cement system also here the effects of the phytate addition showed its beneficial influence in the injectability measurement. The unmodified cement was not injectable at all, due to the same issue already encountered at the rheology measurements, but all modified pastes were fully injectable for at least 5 min (lowest phytate concentration) and at least 10 min (all other concentrations) after the mixing of powder and liquid.
The main goal of the last modification with sodium pyrophosphate was to create a paste that was stable in aqueous environment without setting until the activation takes place, but it should still show good injectability as this was the desired way of application after activation. Like before also the zeta potential changed after the addition of pyrophosphate. It could be lowered from -22 ± 2mV down to -61 to -68 ± 4mV (depending on the pyrophosphate concentration). The pastes were stored in airtight containers at room temperature and checked for their phase composition over 14 days. The unmodified paste showed a beginning phase conversion to hydroxyapatite between 7 and 14 days. All other pastes were still stable and unreacted. The pastes were activated with a high concentrated (30 wt%) sodium orthophosphate solution. After the activation the pastes were checked for their injectability and showed an increase from -57 ± 11% for the unmodified paste to -89 ± 3% (practically fully injectable as described earlier) for the best modified paste (PP005).
It can be concluded that the goal of enabling full injection of conventional calcium phosphate bone cement systems was reached. Additional work produced a storage stable paste that still ensures full injectability. Subsequent work already used the storable paste and modified it with hyaluronic acid to create an ink for 3D extrusion printing. The first two cement systems have also already been investigated in cell culture for their influence on osteoblasts and osteoclasts. The next steps would have to go more into the direction of translation. Figuring out what properties still need to be checked and where the modification needs adjustment to enable a clinical use of the presented systems.
The aim of the first part of this thesis was to investigate (R,R)-PBI as a model system for polymorphism at its origin by a supramolecular approach. The pathway complexity of (R,R)-PBI was fine-tuned by experimental parameters such as solvent, temperature and concentration to make several supramolecular polymorphs accessible. Mechanistic and quantum chemical studies on the kinetics and thermodynamics of the supramolecular polymerization of (R,R)-PBI were conducted to shed light on the initial stages of polymorphism. The second part of this work deals with mechanistic investigations on the supramolecular polymerization of the racemic mixture of (R,R)- and (S,S)-PBI with regard to homochiral and heterochiral aggregation leading to conglomerates and a racemic supramolecular polymer, respectively.
This work illustrates how the targeted tailoring of supramolecular cavities can not only accomplish high binding due to optimized stereoelectronic shape matches between host and guest but also how molecular engineering of the binding site by a refined substitution periphery of the cavity makes enantiospecific guest recognition and host mediated chirality transfer feasible. Moreover, an enzyme mimic, following the Pauling-Jencks model of enzyme catalysis was realized by the smart design of a PBI host composed of moderately twisted chromophores, which drives the substrate inversion according to the concepts of transition state stabilization and ground state destabilization. The results of this thesis contribute to a better understanding of structure-specific interactions in host-guest complexes as well as the corresponding thermodynamic and kinetic properties and represent an appealing blueprint for the design of new artificial complex structures of high stereoelectronic shape complementarity in order to achieve the goal of sophisticated supramolecular receptors and enzyme mimicry.
Peripheral blood mononuclear cells (PBMCs) are the only source of human lymphoid cells routinely available for immunologic research and for immunomonitoring of T-cell responses to microbial and tumor-associated antigens. However the large majority of human T-cells resides in tissues, especially in lymphatic organs, while only 1 % of the body’s T-cells circulate in the blood stream. Previous work in mice and humans had indicated that CD4 T-cells transiently lose antigen sensitivity when cellular contacts are lost, e.g. by leaving lymphoid organs such as lymph nodes (LNs) and entering the circulation. In this study, these findings were extended to CD8 T-cells. Thus, CD8 T-cell responses of the human tonsil show a significant drop in sensitivity to viral antigens if tissue-exit was simulated by keeping cells in dispersed culture at body temperature for two hours.
Conversely, tissue-like functionality in blood-derived CD8 T-cells was restored by applying the simple and robust RESTORE protocol. Indeed, application of the RESTORE protocol, i.e. pre-culturing PBMCs for two days at a high cell density before initiation of antigenic stimulation, demonstrated that CD8 T-cell responses to a broad range of viral and to tumor-associated antigens are greatly underestimated, and sometimes even remain undetected if conventional, unprocessed PBMC cultures are used. The latter finding is particularly striking with regard to the appearance of Wilms tumor 1 (WT1)-specific CD8 T-cell responses in leukemia patients after allogeneic bone marrow transplantation. My studies on the mechanism of the RESTORE protocol show that HD preculture of PBMCs does not involve antigen-or cytokine-driven clonal expansion of T-cells. Moreover, the gain in antigen sensitivity cannot be explained by a decreased activity of regulatory T-cells during the preculture step. The increased antigen sensitivity of CD8 T-cells from HD precultures of PBMCs is associated with tonic T-cell receptor signaling as indicated by enhanced tyrosine phosphorylation of the CD3 ζ chains and the tyrosine kinase Lck, thereby preparing T-cells for full responses. The upregulation of genes involved in aerobic glycolysis in “restored” CD8 memory T-cells relative to fresh cells might be an essential requirement for increased T-cell functionality including the regulation of IFN-γ production. Taken together, the RESTORE protocol, which was initially described for the CD4 T-cell response to the antibody TGN1412 permits a more meaningful monitoring of CD8 T-cell responses to viral infections and tumors. Furthermore, when generating T-cell lines for adoptive T-cell therapy, the RESTORE protocol allows the generation of CD8 T-cell lines with an improved representation of clones responding to low antigen concentrations.
For cellular viability, transcription is a fundamental process. Hereby, the DNA plays the most elemental and highly versatile role. It has long been known that promoters contain conserved and often well-defined motifs, which dictate the site of transcription initiation by providing binding sites for regulatory proteins. However, research within the last decade revealed that it is promoters lacking conserved promoter motifs and transcribing constitutively expressed genes that constitute the majority of promoters in eukaryotes. While the process of transcription initiation is well studied, whether defined DNA sequence motifs are required for the transcription of constitutively expressed genes in eukaryotes remains unknown. In the highly divergent protozoan parasite Trypanosoma brucei, most of the proteincoding genes are organized in large polycistronic transcription units. The genes within one polycistronic transcription unit are generally unrelated and transcribed by a common transcription start site for which no RNA polymerase II promoter motifs have been identified so far. Thus, it is assumed that transcription initiation is not regulated but how transcription is initiated in T. brucei is not known. This study aimed to investigate the requirement of DNA sequence motifs and chromatin structures for transcription initiation in an organism lacking transcriptional regulation. To this end, I performed a systematic analysis to investigate the dependence of transcription initiation on the DNA sequence. I was able to identify GT-rich promoter elements required for directional transcription initiation and targeted deposition of the histone variant H2A.Z, a conserved component during transcription initiation. Furthermore, nucleosome positioning data in this work provide evidence that sites of transcription initiation are rather characterized by broad regions of open and more accessible chromatin than narrow nucleosome depleted regions as it is the case in other eukaryotes. These findings highlight the importance of chromatin during transcription initiation. Polycistronic RNA in T. brucei is separated by adding an independently transcribed miniexon during trans-splicing. The data in this work suggest that nucleosome occupancy plays an important role during RNA maturation by slowing down the progressing polymerase and thereby facilitating the choice of the proper splice site during trans-splicing. Overall, this work investigated the role of the DNA sequence during transcription initiation and nucleosome positioning in a highly divergent eukaryote. Furthermore, the findings shed light on the conservation of the requirement of DNA motifs during transcription initiation and the regulatory potential of chromatin during RNA maturation. The findings improve the understanding of gene expression regulation in T. brucei, a eukaryotic parasite lacking transcriptional Regulation.
In this thesis two main projects are presented, both aiming at the overall goal
of particle detector development. In the first part of the thesis detailed shielding
studies are discussed, focused on the shielding section of the planned New Small
Wheel as part of the ATLAS detector upgrade. Those studies supported the discussions
within the upgrade community and decisions made on the final design of
the New Small Wheel. The second part of the thesis covers the design, construction
and functional demonstration of a test facility for gaseous detectors at the
University of Würzburg. Additional studies on the trigger system of the facility are
presented. Especially the precision and reliability of reference timing signals were
investigated.
In this PhD thesis, we study the heteroepitaxial crystal growth by means of Monte Carlo simulations. Of particular interest in this work is the influence of the lattice mismatch of the adsorbates relative to the substrate on surface structures. In the framework of an off-lattice model, we consider one monolayer of adsorbate and investigate the emerging nanopatterns in equilibrium and their formation during growth. In chapter 1, a brief introduction is given, which describes the role of computer simulations in the field of the physics of condensed matter. Chapter 2 is devoted to some technical basics of experimental methods of molecular beam epitaxy and the theoretical description. Before a model for the simulation can be designed, it is necessary to make some considerations of the single processes which occur during epitaxial growth. For that purpose we look at an experimental setup and extract the main microscopic processes. Afterwards a brief overview of different theoretical concepts describing that physical procedures is given. In chapter 3, the model used in the simulations is presented. The aim is to investigate the growth of an fcc crystal in the [111] direction. In order to keep the simulation times within a feasible limit a simple pair potential, the Lennard-Jones potential, with continuous particle positions is used, which are necessary to describe effects resulting from the atomic mismatch in the crystal. Furthermore the detailed algorithm is introduced which is based on the idea to calculate the barrier of each diffusion event and to use the barriers in a rejection-free method. Chapter 4 is attended to the simulation of equilibrium. The influence of different parameters on the emerging structures in the first monolayer upon the surface, which is completely covered with two adsorbate materials, is studied. Especially the competition between binding energy and strain leads to very interesting pattern formations like islands or stripes. In chapter 5 the results of growth simulations are presented. At first, we introduce a model in order to realize off-lattice Kinetic Monte Carlo simulations. Since the costs in simulation time are enormous, some simplifications in the calculation of diffusion barriers are necessary and therefore the previous model is supplemented with some elements from the so-called ball and spring model. The next point is devoted to the calculation of energy barriers followed by the presentation of the growth simulations. Binary systems with only one sort of adsorbate are investigated as well as ternary systems with two different adsorbates. Finally, a comparison to the equilibrium simulations is drawn. Chapter 6 contains some concluding remarks and gives an outlook to possible further investigations.
This work deals with the development and application of novel quantum Monte Carlo methods to simulate fermion-boson models. Our developments are based on the path-integral formalism, where the bosonic degrees of freedom are integrated out exactly to obtain a retarded fermionic interaction. We give an overview of three methods that can be used to simulate retarded interactions. In particular, we develop a novel quantum Monte Carlo method with global directed-loop updates that solves the autocorrelation problem of previous approaches and scales linearly with system size. We demonstrate its efficiency for the Peierls transition in the Holstein model and discuss extensions to other fermion-boson models as well as spin-boson models. Furthermore, we show how with the help of generating functionals bosonic observables can be recovered directly from the Monte Carlo configurations. This includes estimators for the boson propagator, the fidelity susceptibility, and the specific heat of the Holstein model. The algorithmic developments of this work allow us to study the specific heat of the spinless Holstein model covering its entire parameter range. Its key features are explained from the single-particle spectral functions of electrons and phonons. In the adiabatic limit, the spectral properties are calculated exactly as a function of temperature using a classical Monte Carlo method and compared to results for the Su-Schrieffer-Heeger model.
Adoptive immunotherapy using chimeric antigen receptor (CAR)-modified T cells is an effective treatment for hematological malignancies that are refractory to conventional chemotherapy. To address a wider variety of cancer entities, there is a need to identify and characterize additional target antigens for CAR-T cell therapy. The two members of the receptor tyrosine kinase-like orphan receptor family, ROR1 and ROR2, have been found to be overexpressed on cancer cells and to correlate with aggressive cancer phenotypes. Recently, ROR1-specific CAR-T cells have entered testing in phase I clinical trials, encouraging us to assess the suitability of ROR2 as a novel target for CAR-T cell therapy. To study the therapeutic potential of targeting ROR2 in solid and hematological malignancies, we selected two representative cancer entities with high unmet medical need: renal cell carcinoma and multiple myeloma.
Our data show that ROR2 is commonly expressed on primary samples and cell lines of clear cell renal cell carcinoma and multiple myeloma. To study the efficacy of ROR2-specific CAR T cell therapy, we designed two CAR constructs with 10-fold binding affinity differences for the same epitope of ROR2. We found both cell products to exhibit antigen-specific anti-tumor reactivity in vitro, including tumor cell lysis, secretion of the effector cytokines interleukin-2 (IL-2) and interferon-gamma (IFNγ), and T cell proliferation. In vivo studies revealed ROR2 specific CAR-T cells to confer durable responses, significant survival benefits and long-term persistence of CAR-expressing T cells. Overall, there was a trend towards more potent anti-tumor efficacy upon treatment with T cells that expressed the CAR with higher affinity for ROR2, both in vitro and in vivo.
We performed a preclinical safety and toxicology assessment comprising analyses of ROR2 expression in healthy human and murine tissues, cross-reactivity, and adoptive T cell transfer in immunodeficient mice. We found ROR2 expression to be conserved in mice, and low-level expression was detectable in the male and female reproductive system as well as parts of the gastrointestinal tract. CAR-T cells targeting human ROR2 were found to elicit similarly potent reactivity upon recognition of murine ROR2. In vivo analyses showed transient tissue-specific enrichment and activation of ROR2-specific CAR-T cells in organs with high blood circulation, such as lung, liver, or spleen, without evidence for clinical toxicity or tissue damage as determined by histological analyses.
Furthermore, we humanized the CAR binding domain of ROR2-specific CAR-T cells to mitigate the risk of adverse immune reactions and concomitant CAR-T cell rejection. Functional analyses confirmed that humanized CARs retained their specificity and functionality against ROR2-positive tumor cells in vitro.
In summary, we show that ROR2 is a prevalent target in RCC and MM, which can be addressed effectively with ROR2-specific CAR-T cells in preclinical models. Our preliminary toxicity studies suggest a favorable safety profile for ROR2-specific CAR-T cells. These findings support the potential to develop ROR2-specific CAR-T cells clinically to obtain cell products with broad utility.
The Notch signaling pathway is crucial for mammalian heart development. It controls cell-fate decisions, coordinates patterning processes and regulates proliferation and differentiation. Critical Notch effectors are Hey bHLH transcription factors (TF) that are expressed in atrial (Hey1) and ventricular (Hey2) cardiomyocytes (CM) and in the developing endocardium (Hey1/2/L). The importance of Hey proteins for cardiac development is demonstrated by knockout (KO) mice, which suffer from lethal cardiac defects, such as ventricular septum defects (VSD), valve defects and cardiomyopathy. Despite this clear functional relevance, little is known about Hey downstream targets in the heart and the molecular mechanism by which they are regulated.
Here, I use a cell culture system with inducible Hey1, Hey2 or HeyL expression to study Hey target gene regulation in HEK293 cells, in murine embryonic stem cells (ESC) and in ESC derived CM. In HEK293 cells, I could show that genome wide binding sites largely overlap between all three Hey proteins, but HeyL has many additional binding sites that are not bound by Hey1 or Hey2. Shared binding sites are located close to transcription start sites (TSS) where Hey proteins preferentially bind to canonical E boxes, although more loosely defined modes of binding exist. Additional sites only bound by HeyL are more scattered across the genome. The ability of HeyL to bind these sites depends on the C-terminal part of the protein. Although there are genes which are differently regulated by HeyL, it is unclear whether this regulation results from binding of additional sites by HeyL.
Additionally, Hey target gene regulation was studied in ESC and differentiated CM, which are more relevant for the observed cardiac phenotypes. ESC derived CM contract in culture and are positive for typical cardiac markers by qRT PCR and staining. According to these markers differentiation is unaffected by prolonged Hey1 or Hey2 overexpression. Regulated genes are largely redundant between Hey1 and Hey2. These are mainly other TF involved in e.g. developmental processes, apoptosis, cell migration and cell cycle. Many target genes are cell type specifically regulated causing a shift in Hey repression of genes involved in cell migration in ESC to repression of genes involved in cell cycle in CM.
The number of Hey binding sites is reduced in CM and HEK293 cells compared to ESC, most likely due to more regions of dense chromatin in differentiated cells. Binding sites are enriched at the proximal promoters of down-regulated genes, compared to up-or non-regulated genes. This indicates that up-regulation primarily results from indirect effects, while down-regulation is the direct results of Hey binding to target promoters. The extent of repression generally correlates with the amount of Hey binding and subsequent recruitment of histone deacetylases (Hdac) to target promoters resulting in histone H3 deacetylation.
However, in CM the repressive effect of Hey binding on a subset of genes can be annulled, likely due to binding of cardiac specific activators like Srf, Nkx2-5 and Gata4. These factors seem not to interfere with Hey binding in CM, but they recruit histone acetylases such as p300 that may counteract Hey mediated histone H3 deacetylation. Such a scenario explains differential regulation of Hey target genes between ESC and CM resulting in gene and cell-type specific regulation.
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.
The live sciences currently undergo a paradigm shift to computer aided discoveries. Discoveries in the live sciences were historically made by either direct observation or as a result of chemical assays. Today we see a growing shift toward computer aided analysis and visualization. This gradual process happens in microscopy. Multidimensional laser scanning microscopy can acquire very complex multichannel data from fixed or live specimen. New probes such as visible fluorescent proteins let us observe the expression of genes and track protein localization. Ion sensitive dyes change intensity with the concentration of ions in the cell. The laser scanning confocal allows us to record these processes in three dimensions over time. This work demonstrates the application of software analysis to multidimensional microscopy data. We introduce methods for volume investigation, ion flux analysis and molecular modeling. The visualization methods are based on a multidimensional data model to accommodate complex datasets. The software uses vector processing and multiple processors to accelerate volume rendering and achieve interactive rendering. The algorithms are based on human visual perception and allow the observer a wide range of mixed render modes. The software was used to reconstruct the pituitary development in zebrafish and observe the degeneration of neurons after injury in a mouse model. Calicum indicator dyes have long been used to study calcium fluxes. We optimized the imaging method to minimize impact on the cell. Live cells were imaged continuously for 45 minutes and subjected to increasing does of a drug. We correlated the amplitude of calcium oscillations to increasing doses of a drug and obtain single cell dose response curves. Because this method is very sensitive and measures single cell responses it has potential in drug discovery and characterization. Microtubules form a dynamic cytoskeleton, which is responsible for cell shape, intracellular transport and has an integral role in mitosis. A hallmark of microtubule organization is lateral interactions. Microtubules are bundles by proteins into dense structures. To estimate the contribution of this bundling process, we created a fractal model of microtubule organization. This model demonstrates that morphology of complex microtubule arrays can be explained by bundling alone. In summary we showed that advances in software for visualization, data analysis and modeling lead to new discoveries.
We consider a multi-species gas mixture described by a kinetic model. More precisely, we are interested in models with BGK interaction operators. Several extensions to the standard BGK model are studied.
Firstly, we allow the collision frequency to vary not only in time and space but also with the microscopic velocity. In the standard BGK model, the dependence on the microscopic velocity is neglected for reasons of simplicity. We allow for a more physical description by reintroducing this dependence. But even though the structure of the equations remains the same, the so-called target functions in the relaxation term become more sophisticated being defined by a variational procedure.
Secondly, we include quantum effects (for constant collision frequencies). This approach influences again the resulting target functions in the relaxation term depending on the respective type of quantum particles.
In this thesis, we present a numerical method for simulating such models. We use implicit-explicit time discretizations in order to take care of the stiff relaxation part due to possibly large collision frequencies. The key new ingredient is an implicit solver which minimizes a certain potential function. This procedure mimics the theoretical derivation in the models. We prove that theoretical properties of the model are preserved at the discrete level such as conservation of mass, total momentum and total energy, positivity of distribution functions and a proper entropy behavior. We provide an array of numerical tests illustrating the numerical scheme as well as its usefulness and effectiveness.
G-quadruplex structures are highly stable alternative DNA structures that can, when not properly regulated, impede replication fork progression and cause genome instability (Castillo Bosch et al, 2014; Crabbe et al, 2004; Koole et al, 2014; Kruisselbrink et al, 2008; London et al, 2008; Lopes et al, 2011; Paeschke et al, 2013; Paeschke et al, 2011; Piazza et al, 2015; Piazza et al, 2010; Piazza et al, 2012; Ribeyre et al, 2009; Sabouri et al, 2014; Sarkies et al, 2012; Sarkies et al, 2010; Schiavone et al, 2014; Wu & Spies, 2016; Zimmer et al, 2016). The aim of this thesis was to identify novel G-quadruplex interacting proteins in Saccharomyces cerevisiae and to unravel their regulatory function at these structures to maintain genome integrity. Mms1 and Rtt101 were identified as G-quadruplex binding proteins in vitro via a pull-down experiment with subsequent mass spectrometry analysis. Rtt101, Mms1 and Mms22, which are all components of an ubiquitin ligase (Rtt101Mms1/Mms22), are important for the progression of the replication fork following fork stalling (Luke et al, 2006; Vaisica et al, 2011; Zaidi et al, 2008). The in vivo binding of endogenously tagged Mms1 to its target regions was analyzed genome-wide using chromatin-immunoprecipitation followed by deep-sequencing. Interestingly, Mms1 bound independently of Mms22 and Rtt101 to G-rich regions that have the potential to form G-quadruplex structures. In vitro, formation of G-quadruplex structures could be shown for the G-rich regions Mms1 bound to. This binding was observed throughout the cell cycle. Furthermore, the deletion of MMS1 caused replication fork stalling as evidenced by increased association of DNA Polymerase 2 at Mms1 dependent sites. A gross chromosomal rearrangement assay revealed that deletion of MMS1 results in a significantly increased genome instability at G-quadruplex motifs compared to G-rich or non-G-rich regions. Additionally, binding of the helicase Pif1, which unwinds G4 structures in vitro (Paeschke et al, 2013; Ribeyre et al, 2009; Sanders, 2010; Wallgren et al, 2016), to Mms1 binding sites was reduced in mms1 cells. The data presented in this thesis, together with published data, suggests a novel mechanistic model in which Mms1 binds to G-quadruplex structures and enables Pif1 association. This allows for replication fork progression and genome integrity.
Innovative possibilities for data collection, networking, and evaluation are unleashing previously untapped potential for industrial production. However, harnessing this potential also requires a change in the way we work. In addition to expanded automation, human-machine cooperation is becoming more important: The machine achieves a reduction in complexity for humans through artificial intelligence. In fractions of a second large amounts of data of high decision quality are analyzed and suggestions are offered. The human being, for this part, usually makes the ultimate decision. He validates the machine’s suggestions and, if necessary, (physically) executes them.
Both entities are highly dependent on each other to accomplish the task in the best possible way. Therefore, it seems particularly important to understand to what extent such cooperation can be effective. Current developments in the field of artificial intelligence show that research in this area is particularly focused on neural network approaches. These are considered to be highly powerful but have the disadvantage of lacking transparency. Their inherent computational processes and the respective result reasoning remain opaque to humans. Some researchers assume that human users might therefore reject the system’s suggestions. The research domain of explainable artificial intelligence (XAI) addresses this problem and tries to develop methods to realize systems that are highly efficient and explainable.
This work is intended to provide further insights relevant to the defined goal of XAI. For this purpose, artifacts are developed that represent research achievements regarding the systematization, perception, and adoption of artificially intelligent decision support systems from a user perspective. The focus is on socio-technical insights with the aim to better understand which factors are important for effective human-machine cooperation. The elaborations predominantly represent extended grounded research. Thus, the artifacts imply an extension of knowledge in order to develop and/ or test effective XAI methods and techniques based on this knowledge. Industry 4.0, with a focus on maintenance, is used as the context for this development.
In three studies, we investigated, if and how different modes of presentation - written, auditory, audiovisual (auditory combined with pictures) - affect comprehension of semantically identical materials. Children, beginning from the age of 7, and adults were included into the studies. A vast amount of studies have shown that pictures can facilitate text comprehension (e.g. Carney & Levin, 2002).
Other than the majority of these previous studies, we assessed text comprehension with methods that we assume to allow more differentiated insights into the cognitive processes that - according to current theories - underlie text comprehension. Text comprehension involves at least three levels of mental representations (see Kintsch, 1998). Moreover, text comprehension means constructing a locally and globally coherent mental representation of the text content.
Using a sentence recognition task (see Schmalhofer & Glavanov, 1986), we examined whether the memory of the text surface, the text base, and the situation model differs between written, auditory, and audiovisual text presentation in a sample of 103 8- and 10-year-olds and adults (Study I), and between auditory and audiovisual text presentation in a sample of 106 7-, 9-, and 11-year-olds (Study II). Furthermore, we examined with 155 9- and 11-year-olds, whether the ability to draw inferences to establish local and global coherence differs between written, auditory, and audiovisual text presentation. These inferences were indicated by reaction times to words associated with a protagonist's super- (global) or subordinate (local) goal.
Overall, the results of these three studies taken together, indicate that children up to age 11 do not only have better memory of not only the text surface, but also of the situation model when pictures are added to an auditory text. This effect became apparent in comparison with both auditory and written texts. For the adults, in contrast, we did not find an effect of the presentation mode. Furthermore, both 9- and 11-year-olds were better at establishing global coherence at audiovisual compared to auditory text presentation. Written presentation turned out to be superior to auditory presentation in terms of both local and global coherence.
In north-western Namibia the fills of the Karoo-Etendeka depositories can be subdivided into (1) a Carboniferous-Permian, (2) a Triassic-Jurassic and (3) a Cretaceous megasequence, each recording extensional periods related to successive rifting phases in the evolving South Atlantic. The tectonic environment of the depositories in north-western Namibia changes successively from the coast towards the continental interior, which is reflected by the facies distribution and the position of time-stratigraphic gaps. Close to the present-day coastline synsedimentary listric faults, trending parallel to the South Atlantic rift (N-S), caused the formation of wedge shaped sediment bodies. Here, the Karoo Supergroup is only represented by the Permian succession in the Huab area. A hiatus within the Permian can be recognised by the correlation with the main Karoo Basin in South Africa and the Brazilian Paraná Basin. This stratal gap correlates with a pre-Beaufort Group unconformity in the main Karoo Basin that might be related to an orogenic pulse in the Cape Fold Belt. The Permian succession itself is unconformably overlain by the Lower Cretaceous Etendeka Group. This hiatus extending from the Upper Permian to the Lower Cretaceous has probably been induced by a combination of rift shoulder uplift and additional crustal doming associated with Etendeka flood volcanism. The enhanced tectonism during the Early Cretaceous controlled accommodation space for the alluvial-fluvial and aeolian deposits of the lower Etendeka Group. Disconformities within those deposits and the overlying lava succession attribute to distinct phases of tectonic and volcanic activity heralding the South Atlantic breakup. Towards the south-east, the Karoo succession becomes successively more complete. In the vicinity of Mt. Brandberg Early Triassic strata (Middle Omingonde Formation) follow disconformably above the Upper Permian/Lowermost Triassic Doros Formation. The sedimentation there was essentially controlled by the SW-NE trending Damaraland Uplift. South of the Damaraland Uplift the SW-NE trending Waterberg-Omaruru Fault zone is interpreted as a sinistral oblique-slip fault that compartmentalised the South Atlantic rift. This fault controlled accommodation space of the entire Triassic Omingonde Formation and the Early Jurassic Etjo Formation in its associated pull-apart and transtension structures. A locally well developed angular unconformity defines a hiatus between the two formations. Correlation with the main Karoo Basin in South Africa confirms that this gap is of a regional extent and not only a local, fault induced feature. Furthermore, it might also correlate with an orogenic pulse of the Cape Fold Belt. In general, the Mesozoic megasequences record the long-lived history of the southern Atlantic rift evolution. Rifting has been controlled by orogenic pulses derived from the Samfrau active margin throughout the Mesozoic. The associated intracratonic E-W extension caused the formation of grabens and conjugated oblique-slip zones. The generation of voluminous flood basalts marks the climax of intracratonic extension that was accompanied by enhanced uplift of the rift shoulders.
A subtly regulated and controlled course of cellular processes is essential for the healthy functioning not only of single cells, but also of organs being constituted thereof. In return, this entails the proper functioning of the whole organism. This implies a complex intra- and inter-cellular communication and signal processing that require equally multi-faceted methods to describe and investigate the underlying processes. Within the scope of this thesis, mathematical modeling of cellular signaling finds its application in the analysis of cellular processes and signaling cascades in different organisms. ...
In this thesis, we investigate several topics pertaining to emergent collective quantum phenomena in the domain of correlated fermions, using the quantum Monte Carlo method. They display exotic low temperature phases as well as phase transitions which are beyond the Landau–Ginzburg theory. The interplay between three key points is crucial for us: fermion statistics, many body effects and topology. We highlight the following several achievements: 1. Successful modeling of continuum field theories with lattice Hamiltonians, 2. their sign-problem-free Monte Carlo simulations of these models, 3. and numerical results beyond mean field descriptions. First, we consider a model of Dirac fermions with a spin rotational invariant inter- action term that dynamically generates a quantum spin Hall insulator. Surprisingly, an s-wave superconducting phase emerges due to the condensation of topological de- fects of the spin Hall order parameter. When particle-hole symmetry is present, the phase transition between the topological insulator and the superconducting phase is an example of a deconfined quantum critical point(DQCP). Although its low energy effec- tive field theory is purely bosonic, the exact conservation law of the skyrmion number operator rules out the possibility of realizing this critical point in lattice boson models. This work is published in Ref. [1]. Second, we dope the dynamically generated quantum spin Hall insulator mentioned above. Hence it is described by a field theory without Lorentz invariance due to the lack of particle-hole symmetry. This sheds light on the extremely hot topic of twisted bilayergraphene: Why is superconductivity generated when the repulsive Coulomb interaction is much stronger than the electron-phonon coupling energy scale? In our case, Cooper pairs come from the topological skyrmion defects of the spin current order parameter, which are charged. Remarkably, the nature of the phase transition is highly non-mean-field-like: one is not allowed to simply view pairs of electrons as single bosons in a superfluid-Mott insulator transition, since the spin-current order parameter can not be ignored. Again, due to the aforementioned skyrmions, the two order parameters are intertwined: One phase transition occurs between the two symmetry breaking states. This work is summarized in Ref. [2]. Third, we investigate the 2 + 1 dimensional O(5) nonlinear sigma model with a topological Wess-Zumino-Witten term. Remarkably, we are able to perform Monte Carlo calculations with a UV cutoff given by the Dirac Landau level quantization. It is a successful example of simulating a continuous field theory without lattice regularization which leads to an additional symmetry breaking. The Dirac background and the five anti-commuting Dirac mass terms naturally introduce the picture of a non-trivial Berry phase contribution in the parameter space of the five component order parameter. Using the finite size scaling method given by the flux quantization, we find a stable critical phase in the low stiffness region of the sigma model. This is a candidate ground state of DQCP when the O(5) symmetry breaking terms are irrelevant at the critical point. Again, it has a bosonic low energy field theory which is seemingly unable to be realized in pure boson Hamiltonians. This work is summarized in Ref. [3].
A precious treasure in traditional Chinese medicine (TCM), acupuncture played a vital and irreplaceable role in contributing to people’s health in the thousands of years of Chinese history, and in 2010 was officially added to the “Representative List of the Intangible Cultural Heritage of Humanity” by the United Nations. Because of the side-effects of long-term drug therapy for pain, and the risks of dependency, acupuncture has been widely accepted as one of the most important alternative choice therapies for treating varieties of acute and chronic pain-related disorders. The clinical application and scientific mechanism research of acupuncture have therefore increased intensively in the last few decades. Besides hand acupuncture, other treatment approaches e.g. electroacupuncture (EA) have been widely accepted and applied as an important acupuncture-related technique for acupuncture analgesia (AA) research. The involvement of opioid peptides and receptors in acute AA has been shown via pre-EA application of opioid receptor/peptide antagonists. However, existing publications still cannot illuminate the answer to the following question: how does sustained antinociception happen by EA treatment? The hypothesis of opioid peptide-mediated tonic AA might be able to answer the question.
In the first part of this thesis, the institution of a reproducible acupuncture treatment model as well as the endogenous opioid-related mechanisms was demonstrated. An anatomically-based three-dimensional (3D) rat model was established to exhibit a digital true-to-life organism, accurate acupoint position and EA treatment protocol on bilateral acupoint GB-30 Huantiao. The optimal EA treatment protocol (100 Hz, 2-3 mA, 0.1 ms, 20 min) at 0 and 24 h after induction of inflammatory pain by complete Freund’s adjuvant (CFA) on conscious free-moving rats was then established. EA elicited significant sustained mechanical and thermal antinociception up to 144 h. Post-EA application of opioid receptors (mu opioid receptor, MOR; delta opioid receptor, DOR) antagonists naloxone (NLX) and naltrindole (NTI), or opioid peptide antibodies anti-beta-endorphin (anti-END), met-enkephalin (anti-ENK) or -dynorphin A (anti-DYN) could also block this effect at a late phase (96 h) of CFA post-EA, which suggested opioid-dependent tonic analgesia was produced by EA. Meanwhile, EA also reduced paw temperature and volume at 72-144 h post CFA indicating anti-inflammatory effects. Nociceptive thresholds were assessed by paw pressure threshold (Randall-Sellito) or paw withdrawal latency (Hargreaves) and an anti-inflammatory effect was evaluated by measurement of plantar temperature and volume of inflamed paw.
The second part of the thesis further suggests the correlation between the chemokine CXCL10 (= interferon-gamma inducible protein 10, IP-10) and opioid peptides in EA-induced antinociception. Based on a comprehensive Cytokine Array of 29 cytokines, targeted cytokines interleukin (IL)-1alpha, interleukin (IL)-1beta, tumor necrosis factor (TNF)-alpha, interleukin (IL)-4, interleukin (IL)-13, interferon (IFN)-gamma as well as CXCL10 were selected and quantified by enzyme-linked immunosorbent assay (ELISA), and real time reverse transcription-polymerase chain reaction (RT-PCR) quantification confirmed upregulation of CXCL10 mRNA at both 72 and 96 h. The following hyperalgesic assessment suggested the antinociceptive effect of CXCL10. The double immunostaining localizing opioid peptides with macrophages expressed the evident upregulation of CXCR3-receptor of CXCL10 in EA treated samples as well as the significant upregulation or downregulation of opioid peptides by repeated treatment of CXCL10 or antibody of CXCL10 via behavioral tests and immune staining. Subsequent immunoblotting measurements showed non-alteration of opioid receptor level by EA, indicating that the opioid receptors did not apparently contribute to AA in the present studies. In vitro, CXCL10 did not directly trigger opioid peptide END release from freshly isolated rat macrophages. This might implicate an indirect property of CXCL10 in vitro stimulating the opioid peptide-containing macrophages by requiring additional mediators in inflammatory tissue.
In summary, this project intended to explore the peripheral opioid-dependent analgesic mechanisms of acupuncture with a novel 3D treatment rat model and put forward new information to support the pivot role of chemokine CXCL10 in mediating EA-induced tonic antinociception via peripheral opioid peptides.
There is more and more evidence for the cancer stem cell hypothesis which believes that cancers are driven by a cellular subcomponent that has stem cell properties which is self-renewal, tumorigenicity and multilineage differentiation capacity. Cancer stem cells have been connected to the initiation of tumors and are even found to be responsible for relapses after apparently curative therapies have been undertaken. This hypothesis changes our conceptual approach of oncogenesis and shall have implications in breast cancer prevention, detection and treatment, especially in metastatic breast cancer for which no curative treatment exists. Given the specific stem cell features, novel therapeutic pathways can be targeted. Since the value of vaccinia virus as a vaccination virus against smallpox was discovered by E. Jenner at 18th century, it plays an important role in human medicine and molecular biology. After smallpox was successfully eradicated, vaccinia virus is mainly used as a viral vector in molecular biology and increasingly in cancer therapy. The outstanding capability to specifically target and destroy cancer cells makes it a perfect agent for oncolytic virotherapy. Furthermore, the virus can easily be modified by inserting genes which encode therapeutic or diagnostic proteins to be expressed when a tumor is infected. The emphasis in this study was the establishment of methods for the enrichment of human breast cancer stem-like cells from cancer cell lines and characterization of those cancer stem-like cells in vitro and in vivo. Furthermore, by using the Genelux Corporation vaccinia virus strain GLV-1h68, the isolated cancer stem-like cells can be targeted not only in vitro but also in vivo more efficiently. Side-population (SP) cells within cancers and cell lines are rare cell populations known to be enriched cancer stem-like cells. In this study, we used Hoechst 33342 staining and flow cytometry to identify SP cells from the human breast cancer cell lines MCF-7 and GI-101A as models for cancer stem-like cells. Considering the cytotoxicity of Hoechst dye and the restriction of instrument, we did not carry out further studies by this method. Utilizing in vitro and in vivo experimental systems, we showed that human breast cancer cell line GI-101A with aldehyde dehydrogenase activity (ALDH) have stemlike properties. Higher ALDH activity identifies the tumorigenic cell fraction which is capable of self-renewal and of generating tumors that could recapitulate the heterogeneity of the parental tumor. Furthermore, the cells with higher ALDH activity display significant resistance to chemotherapy and ionizing radiation, which proves their stem-like properties again. The cells which have higher ALDH activity also are more invasive compared to cells which have lower ALDH activity, which connects the cancer stem-like cells with cancer metastases. By analyzing the popular human breast cancer stem cells surface markers CD44, CD49f and CD24, it was discovered that the cells with higher ALDH activity have stronger CD44 and CD49f expression than in those cells with lower ALDH activity, which further confirms their stem-like properties. Finally, the cells with higher ALDH activity and lower ALDH activity were infected in vitro and used in virotherapy in a mouse xenograft model was performed. The results indicated that the vaccinia virus GLV-1h68 can replicate in cells with higher ALDH activity more efficiently than cells with lower ALDH activity. GLV-1h68 also can selectively target and eradicate the xenograft tumors which were derived from cells with higher ALDH activity. The epithelial-mesenchymal transition (EMT) is a key developmental program that is often activated during cancer invasion and metastases. EMT was induced in immortalized human mammary epithelial cells (HMLEs) and in GI-101A cells, which results in the acquisition of mesenchymal traits and in the expression of stem cell markers. Furthermore, the EMT-induced GI-101A cells showed resistance to chemotherapy and invasion capacity. CD44+/CD24- cells were enriched during the EMT induction. Following flow cytometry sorting by using CD44, CD24 and ESA surface marker, the sorted cells were tested in a mouse model regarding tumorigenicity. Unexpectedly, we found that CD44+/CD24+/ESA+ cells could initiate tumors more efficiently rather than CD44+/CD24-/ESA+ and other fractions in EMTinduced GI-101A cells. We also infected the CD44+/CD24+/ESA+ and CD44+/CD24- /ESA+ cells in vitro and performed virotherapy in a mouse xenograft model. The results indicated that the vaccinia virus GLV-1h68 is able to replicate in CD44+/CD24+/ESA+ cells more efficiently than in CD44+/CD24-/ESA+ cells. GLV-1h68 was also capable to selectively target and eradicate the xenograft tumors which derived from CD44+/CD24+/ESA+ cells. Moreover, CD44- cells have much lower tumorigenicity in the mouse model and CD44- cells derived-tumors are not responsive to vaccinia virotherapy. In summary, we have successfully established an in vitro and in vivo system for the identification, characterization and isolation of cancer stem-like cells from the human breast cancer cell line GI-101A by using the ALDEFLUOR assay. The vaccinia virus GLV-1h68 was able to efficiently target and eradicate the higher ALDH activity cells and tumors derived from those cells. Although contrary to the current assumption, CD44+/CD24+/ESA+ cells in the EMT-induced GI-101A cell line showed stem-like properties and GLV-1h68 was able to efficiently target and eradicate the CD44+/CD24+/ESA+ cells and tumors which derived from those cells. Finally, improved understanding of cancer stem cells may have tremendous relevance for how cancer should be treated. It is menacing that cancer stem cells are resistant to almost all anti-tumor approaches which have already been established for the treatment of metastatic diseases such as ionizing radiation, hormonal therapy, chemotherapy, and small molecular inhibitors. Therefore, it is promising that our results suggest that these cancer stem cells may be susceptible to treatment with oncolytic vaccinia virus.
Glucocorticoids (GCs) are small lipophilic compounds that mediate a plethora of biological effects by binding to the intracellular glucocorticoid receptor (GR) which, in turn, translocates to the nucleus and directly or indirectly regulates gene transcription. GCs remain the cornerstone in the treatment for a number of hematological malignancies, including leukemia, lymphoma and myeloma. Extensive literature suggests that the efficacy of GCs stems from their ability to mediate apoptosis. Despite the enormous strides made in our understanding of regulated cell death, the exact mechanism by which GCs cause apoptosis is still unknown. The data obtained so far provide strong evidence that gene transactivation by the GR underlies the initiation phase of GC-induced thymocyte apoptosis. Furthermore, the multicatalytic proteasome, several members of the Bcl-2 family, changes in calcium flux as well as caspases have been identified as important players in the execution phase of GC-mediated cell death. However, the exact sequence of events in this process still remains elusive. A major problem of the current discussion arises from the fact that different cell types, such as thymocytes, peripheral T cells and lymphoma cells are compared without acknowledging their different characteristics and gene expression profiles. Although it is generally assumed that GCs induce apoptosis via a conserved mechanism, this is not supported by any data. In other words, it is possible that thymocytes, peripheral T cells and lymphoma cells may undergo cell death along different pathways. We therefore wondered whether a unique signal transduction pathway is engaged by GCs to initiate and execute cell death in all types of T lymphocytes or whether distinct pathways exist. Therefore, we compared the role of the proteasome, various caspases, the lysosomal compartment and other factors in GC-induced apoptosis of murine thymocytes and peripheral T cells as well as T-ALL lymphoma cells. Our findings show that the initiation phase of GC-induced apoptosis is similar irrespective of the differentiation state of the cell. Apoptosis in both thymocytes and peripheral T cells is mediated by the GR and depends on gene transcription. In contrast, the execution phase significantly differs between thymocyte and peripheral T cells in its requirement for a number of signal transduction components. Whilst in thymocytes, the proteasome, caspases 3, 8 and 9 as well as cathepsin B play an important role in GC-induced apoptosis, these factors are dispensable for the induction of cell death in peripheral T cells. In contrast, changes in the expression and intracellular location of Bcl-2 family members do not appear to contribute to GC-induced apoptosis in either cell type. Importantly, our observation that GC treatment of thymocytes leads to an activation of the lysosomal protease cathepsin B and that this is an essential step in the induction of cell death by GCs, is the first indication that a lysosomal amplification loop is involved in this process. Analysis of GC-induced apoptosis in several T-ALL cell lines further indicates that the signaling pathway induced by GCs in thymocytes but not in peripheral T cells is shared by all lymphoma cell-types analyzed. Given the therapeutic importance of high-dose GC-therapy for the treatment of hematological malignancies, this finding could potentially form a basis for new anti-cancer strategies in the future, which specifically target tumor cells whilst leaving peripheral T cells of patients untouched.
The rise of automated driving will fundamentally change our mobility in the near future. This thesis specifically considers the stage of so called highly automated driving (Level 3, SAE International, 2014). At this level, a system carries out vehicle guidance in specific application areas, e.g. on highway roads. The driver can temporarily suspend from monitoring the driving task and might use the time by engaging in so called non-driving related tasks (NDR-tasks). However, the driver is still in charge to resume vehicle control when prompted by the system. This new role of the driver has to be critically examined from a human factors perspective.
The main aim of this thesis was to systematically investigate the impact of different NDR-tasks on driver behavior and take-over performance. Wickens’ (2008) architecture of multiple resource theory was chosen as theoretical framework, with the building blocks of multiplicity (task interference due to resource overlap), mental workload (task demands), and aspects of executive control or self-regulation. Specific adaptations and extensions of the theory were discussed to account for the context of NDR-task interactions in highly automated driving.
Overall four driving simulator studies were carried out to investigate the role of these theoretical components. Study 1 showed that drivers focused NDR-task engagement on sections of highly automated compared to manual driving. In addition, drivers avoided task engagement prior to predictable take-over situations. These results indicate that self-regulatory behavior, as reported for manual driving, also takes place in the context of highly automated driving. Study 2 specifically addressed the impact of NDR-tasks’ stimulus and response modalities on take-over performance. Results showed that particularly visual-manual tasks with high motoric load (including the need to get rid of a handheld object) had detrimental effects. However, drivers seemed to be aware of task specific distraction in take-over situations and strictly canceled visual-manual tasks compared to a low impairing auditory-vocal task. Study 3 revealed that also the mental demand of NDR-tasks should be considered for drivers’ take-over performance. Finally, different human-machine-interfaces were developed and evaluated in Simulator Study 4. Concepts including an explicit pre-alert (“notification”) clearly supported drivers’ self-regulation and achieved high usability and acceptance ratings.
Overall, this thesis indicates that the architecture of multiple resource theory provides a useful framework for research in this field. Practical implications arise regarding the potential legal regulation of NDR-tasks as well as the design of elaborated human-machine-interfaces.
Performance Assessment of Resource Management Strategies for Cellular and Wireless Mesh Networks
(2015)
The rapid growth in the field of communication networks has been truly amazing in the last decades. We are currently experiencing a continuation thereof with an increase in traffic and the emergence of new fields of application. In particular, the latter is interesting since due to advances in the networks and new devices, such as smartphones, tablet PCs, and all kinds of Internet-connected devices, new additional applications arise from different areas. What applies for all these services is that they come from very different directions and belong to different user groups. This results in a very heterogeneous application mix with different requirements and needs on the access networks.
The applications within these networks typically use the network technology as a matter of course, and expect that it works in all situations and for all sorts of purposes without any further intervention. Mobile TV, for example, assumes that the cellular networks support the streaming of video data. Likewise, mobile-connected electricity meters rely on the timely transmission of accounting data for electricity billing. From the perspective of the communication networks, this requires not only the technical realization for the individual case, but a broad consideration of all circumstances and all requirements of special devices and applications of the users.
Such a comprehensive consideration of all eventualities can only be achieved by a dynamic, customized, and intelligent management of the transmission resources. This management requires to exploit the theoretical capacity as much as possible while also taking system and network architecture as well as user and application demands into account. Hence, for a high level of customer satisfaction, all requirements of the customers and the applications need to be considered, which requires a multi-faceted resource management.
The prerequisite for supporting all devices and applications is consequently a holistic resource management at different levels. At the physical level, the technical possibilities provided by different access technologies, e.g., more transmission antennas, modulation and coding of data, possible cooperation between network elements, etc., need to be exploited on the one hand. On the other hand, interference and changing network conditions have to be counteracted at physical level. On the application and user level, the focus should be on the customer demands due to the currently increasing amount of different devices and diverse applications (medical, hobby, entertainment, business, civil protection, etc.).
The intention of this thesis is the development, investigation, and evaluation of a holistic resource management with respect to new application use cases and requirements for the networks. Therefore, different communication layers are investigated and corresponding approaches are developed using simulative methods as well as practical emulation in testbeds. The new approaches are designed with respect to different complexity and implementation levels in order to cover the design space of resource management in a systematic way. Since the approaches cannot be evaluated generally for all types of access networks, network-specific use cases and evaluations are finally carried out in addition to the conceptual design and the modeling of the scenario.
The first part is concerned with management of resources at physical layer. We study distributed resource allocation approaches under different settings. Due to the ambiguous performance objectives, a high spectrum reuse is conducted in current cellular networks. This results in possible interference between cells that transmit on the same frequencies. The focus is on the identification of approaches that are able to mitigate such interference.
Due to the heterogeneity of the applications in the networks, increasingly different application-specific requirements are experienced by the networks. Consequently, the focus is shifted in the second part from optimization of network parameters to consideration and integration of the application and user needs by adjusting network parameters. Therefore, application-aware resource management is introduced to enable efficient and customized access networks.
As indicated before, approaches cannot be evaluated generally for all types of access networks. Consequently, the third contribution is the definition and realization of the application-aware paradigm in different access networks. First, we address multi-hop wireless mesh networks. Finally, we focus with the fourth contribution on cellular networks. Application-aware resource management is applied here to the air interface between user device and the base station. Especially in cellular networks, the intensive cost-driven competition among the different operators facilitates the usage of such a resource management to provide cost-efficient and customized networks with respect to the running applications.
Remote sensing for disease risk profiling: a spatial analysis of schistosomiasis in West Africa
(2014)
Global environmental change leads to the emergence of new human health risks. As a consequence, transmission opportunities of environment-related diseases are transformed and human infection with new emerging pathogens increase. The main motivation for this study is the considerable demand for disease surveillance and monitoring in relation to dynamic environmental drivers. Remote sensing (RS) data belong to the key data sources for environmental modelling due to their capabilities to deliver spatially continuous information repeatedly for large areas with an ecologically adequate spatial resolution.
A major research gap as identified by this study is the disregard of the spatial mismatch inherent in current modelling approaches of profiling disease risk using remote sensing data. Typically, epidemiological data are aggregated at school or village level. However, these point data do neither represent the spatial distribution of habitats, where disease-related species find their suitable environmental conditions, nor the place, where infection has occurred. As a consequence, the prevalence data and remotely sensed environmental variables, which aim to characterise the habitat of disease-related species, are spatially disjunct.
The main objective of this study is to improve RS-based disease risk models by incorporating the ecological and spatial context of disease transmission. Exemplified by the analysis of the human schistosomiasis disease in West Africa, this objective includes the quantification of the impact of scales and ecological regions on model performance.
In this study, the conditions that modify the transmission of schistosomiasis are reviewed in detail. A conceptual underpinning of the linkages between geographical RS measures, disease transmission ecology, and epidemiological survey data is developed. During a field-based analysis, environmental suitability for schistosomiasis transmission was assessed on the ground, which is then quantified by a habitat suitability index (HSI) and applied to RS data. This conceptual model of environmental suitability is refined by the development of a hierarchical model approach that statistically links school-based disease prevalence with the ecologically relevant measurements of RS data. The statistical models of schistosomiasis risk are derived from two different algorithms; the Random Forest and the partial least squares regression (PLSR). Scale impact is analysed based on different spatial resolutions of RS data. Furthermore, varying buffer extents are analysed around school-based measurements. Three distinctive sites of Burkina Faso and Côte d’Ivoire are specifically modelled to represent a gradient of ecozones from dry savannah to tropical rainforest including flat and mountainous regions.
The model results reveal the applicability of RS data to spatially delineate and quantitatively evaluate environmental suitability for the transmission of schistosomiasis. In specific, the multi-temporal derivation of water bodies and the assessment of their riparian vegetation coverage based on high-resolution RapidEye and Landsat data proofed relevant. In contrast, elevation data and water surface temperature are constraint in their ability to characterise habitat conditions for disease-related parasites and freshwater snail species. With increasing buffer extent observed around the school location, the performance of statistical models increases, improving the prediction of transmission risk. The most important RS variables identified to model schistosomiasis risk are the measure of distance to water bodies, topographic variables, and land surface temperature (LST). However, each ecological region requires a different set of RS variables to optimise the modelling of schistosomiasis risk. A key result of the hierarchical model approach is its superior performance to explain the spatial risk of schistosomiasis.
Overall, this study stresses the key importance of considering the ecological and spatial context for disease risk profiling and demonstrates the potential of RS data. The methodological approach of this study contributes substantially to provide more accurate and relevant geoinformation, which supports an efficient planning and decision-making within the public health sector.
In all the projects presented, it is evident that the selection of suitable separation conditions is only one side of the coin. Equally crucial in the development of methods for the quality assessment of APIs/drugs is the right detection system.
The application of CAD as an alternative to UV detection at low wavelength of the two weak chromophore main degradation products of the very polar, zwitterionic API carbocisteine requires the volatility of the mobile phase. Therefore, as a substitute for the non-volatile ion pairing reagent tetrabutylammonium hydroxide (TBAOH), six different volatile alkylamines as well as a RP/SAX mixed-mode column were evaluated. The best selectivity and separation performance comparable to TBAOH was achieved with the RP/SAX column and a mixture of formic acid and trifluoroacetic acid. For the simultaneous optimisation of the evaporation temperature of the CAD as a function of two chromatographic parameters, a central composite design was chosen and the “desirability function” was subsequently applied for modelling. In addition, column bleeding was investigated with a second RP/SAX column (different batch) with the result that the acetonitrile percentage had to be adjusted and preconditioning by injection of concentrated samples is essential. The final mixed-mode method was finally validated with both columns according to the ICH Q2 (R1) guideline.
Based on this, an MS-compatible method was developed with little effort using an identical RP/SAX column in UPLC dimension for the untargeted analysis by HRMS of two carbocisteine-containing prototype syrup formulations. For a comprehensive characterisation, HRMS and MS/HRMS data were recorded simultaneously by information dependent acquisition mode. Based on the exact masses, isotope patterns and an in silico plausibility check of the fragment spectra, the prediction of the structures of the unknown impurities was possible. In both syrup samples, which had been stored for nine months at 40 °C and 75 % r.h., two additional impurities of carbocisteine (i.e. lactam of the sulfoxides and disulphide between cysteine and thioglycolic acid) were identified by comparison with the corresponding prototype placebo samples using general unknown comparative screening. In addition, the formation of Maillard products by binary mixtures with 13C-labelled sugars was revealed in the sucrose-containing formulation.
For the promising hyphenation of the UV detector with the CAD for the simultaneous detection of all UV-active impurities of the cholesterol-lowering drug simvastatin and the only weak chromophore dihydrosimvastatin, the Ph. Eur. method had to be adapted. Besides replacing phosphoric acid with trifluoroacetic acid, the gradient also had to be adjusted and a third critical peak pair was observed. Based on validation experiments (according to the ICH Q2 (R1) guideline), the suitability of the CAD for sensitive detection (LOQ = 0.0175 % m/m) was proven.
To further investigate the robustness of the adapted method and CAD, a Plackett-Burman design was chosen. None of the factors had a statistically significant effect on the S/N of the CAD in the ranges tested. Regarding the three critical peak pairs, on the other hand, the factors to be controlled were statistically established, so that a targeted correction is possible if the system suitability test is not passed. The idea of employing a hyphenated UV-CAD system was finally applied to the structurally closely related lovastatin and its specified impurity dihydrolovastatin. Here, the CAD showed a significantly better S/N compared to the compendial UV detection at 200 nm.
The suitability of CAD for the analysis of non-volatile fatty acids in polysorbate 80 (PS80) as favourable alternative to the Ph. Eur. GC method (no time-consuming, error-prone and toxic derivatisation) has already been demonstrated. The aim of this project was therefore to develop a robust method with a focus on the AQbD principles, which can be used for the analysis of other excipients with similar fatty acid composition. After the definition of the analytical target profile and a risk assessment by means of an Ishikawa diagram, a suitable C18 column and the chromatographic framework conditions (formic acid concentration and initial/final gradient conditions) were selected after only few preliminary runs. The remaining critical method parameters were then investigated with the help of DoE and RSM. Using the obtained model equations, Monte Carlo simulations were performed to create the method operable design region as a region of theoretical robustness. After validation according to ICH Q2 (R1), the fatty acid composition of a magnesium stearate batch was successfully analysed as a further application example in addition to PS80.
The CAD was able to prove its potential in all the issues investigated in the context of this doctoral thesis. As a cost-effective alternative compared to MS instruments, it thus closes a gap in the quality assessment of APIs or excipients without a suitable chromophore. The easy method transfer to (HR)MS instruments also allows for a unique degree of sample characterisation through untargeted approaches in case of new impurities. For resource- and time-efficient work, the possibilities and limitations of software tools for method development and data evaluation as well as the application of risk-based approaches such as AQbD should also be considered.
In this PhD thesis, the effect of strain on heteroepitaxial growth is investigated by means of Kinetic Monte Carlo simulations. In this context the lattice misfit, arising from the different lattice constants of the adsorbate and the substrate material, is of particular interest. As a consequence, this lattice misfit leads to long-range elastic strain effects having strong influence on the entire growing crystal and its resulting surface morphology. The main focus of this work is the investigation of different strain relaxation mechanisms and their controlling parameters, revealing interesting consequences on the subsequent growth. Since epitaxial growth is carried out under conditions far away from thermodynamic equilibrium, it is strongly determined by surface kinetics. At this point the relevant kinetic microscopic processes are described, followed by theoretical considerations of heteroepitaxial growth disclosing an overview over several independent methodological streams, used to model epitaxy in different time and length scales, as well as the characterization of misfit dislocations and the classification of epitaxial growth modes based on thermodynamic considerations. The epitaxial growth is performed by means of Kinetic Monte Carlo simulations which allows for the consideration of long range effects in systems with lateral extension of few hundred atoms. By using an off-lattice simulation model the particles are able to leave their predefined lattice sites, which is an indispensable condition for simulating strain relaxation mechanisms. The main idea of our used model is calculating the activation energy of all relevant thermally activated processes by using simple pair potentials and then realizing the dynamics by performing each event according to its probability by means of a rejection-free algorithm method. In addition, the crystal relaxation procedure, the grid-based particle access method, which accelerates the simulation enormously, and the efficient implementation of the algorithm are discussed. To study the influence of long range elastic strain effects, the main part of this work was realized on the two dimensional triangular lattice, which can be treated as a cross section of the real three dimensional case. Chapter 4 deals with the formation of misfit dislocations as a strain relaxation mechanism and the resulting consequences on the subsequent heteroepitaxial growth. We can distinguish between two principally different dislocation formation mechanisms, depending strongly on the sign as well as on the magnitude of the misfit, but also the surface kinetics need to be taken into account. Additionally, the dislocations affect the lattice spacings of the crystal whose observed progression is in qualitative good agreement with experimental results. Furthermore, the dislocations influence the subsequent growth of the adsorbate film, since the potential energy of an adatom is modulated by buried dislocations. A clear correlation between the lateral positions of buried dislocations and the positions of mounds grown on the surface can be observed. In chapter 5, an alternative strain relaxation mechanism is studied: the formation of three dimensional islands enables the particles to approach their preferred lattice spacing. We demonstrate that it is possible to adjust within our simulation model each of the three epitaxial growth modes: Volmer–Weber, Frank–van der Merve or layer-by-layer, and Stranski–Krastanov growth mode. Moreover, we can show that the emerging growth mode depends in principle on two parameters: on the one hand the interaction strength of adsorbate particles with each other, compared to the interaction of adsorbate with substrate particles, and on the other hand the lattice misfit between adsorbate and substrate particles. A sensible choice of these two parameters allows the realization of each growth mode within the simulations. In conclusion, the formation of nanostructures controlled by an underlying dislocation network can be applied in the concept of self-organized pattern formation as well as by the tendency to form ordered arrays of strain-induced three dimensional grown islands. In chapter 6, we extend our model to three dimensions and investigate the effect of strain on growth on bcc(100) surfaces. We introduce an anisotropic potential yielding a stable bcc lattice structure within the off-lattice representation. We can show that the strain built up in submonolayer islands is mainly released at the island edges and the lattice misfit has strong influence on the diffusion process on the plane surface as well as on the situation at island edges with eminent consequences on the appearance of submonolayer islands.
This thesis deals with nanoelectromechanical systems in the quantum regime. Nanoelectromechanical systems are systems where a mechanical degree of freedom of rather macroscopic size is coupled to an electronic degree of freedom. The mechanical degree of freedom can without any constraints be modeled as the fundamental mode of a harmonic oscillator. Due to their size and the energy scales involved in the setting, quantum mechanics plays an important role in their description. We investigate transport through such nanomechanical devices where our focus lies on the quantum regime. We use non-equilibrium methods to fully cover quantum effects in setups where the mechanical oscillator is part of a tunnel junction. In such setups, the mechanical motion influences the tunneling amplitude and thereby the transport properties through the device. The electronics in these setups can then be used to probe and characterize the mechanical oscillator through signatures in transport quantities such as the average current or the current noise. The interplay between the mechanical motion and other physical degrees of freedom can also be used to characterize these other degrees of freedom, i.e., the nanomechanical oscillator can be used as a detector. In this thesis, we will show that a nanomechanical oscillator can be used as a detector for rather exotic degrees of freedom, namely Majorana bound states which recently attracted great interest, theoretically as well as experimentally. Again, the quantum regime plays an essential role in this topic. One of the major manifestations of quantum mechanics is entanglement between two quantum systems. Entanglement of quantum systems with few (discrete) degrees of freedom is a well established and understood subject experimentally as well as theoretically. Here, we investigate quantum entanglement between two macroscopic continuous variable systems. We study different setups where it is possible to entangle two nanomechanical oscillators which are not directly coupled to each other. We conclude with reviewing the obtained results and discuss open questions and possible future developments on the quantum aspects of nanomechanical systems.
The aim of the present piece of work was to give information about the frequency of psychoactive substances within the German driver population and to identify preventive and promotive circumstances of drug driving. Furthermore, a new methodological approach to gather and link data about the consumption of psychoactive substances and the mobility of drug users is shown. Traditionally, roadside surveys are conducted to estimate the prevalence of drug driving within a population. By the present study, an alternative method is introduced. In total, 195 drug users (mainly cannabis users) and 100 controls out of the normal driving population were queried for four weeks about their driving and drug consumption behaviour by a questionnaire that was deployed on smartphones. The prevalences of drug driving within the sample were extrapolated into representative values. Because the subjects reported all daily activities within the study-period, it was also possible to describe situations in which the subjects decided against driving under influence. Besides, relevant previous experiences, attitudes, the approval of legal regulations, other traffic-specific parameters, social influences and personality variables were queried. So, individual factors that are associated with drug driving can be specified. The results are integrated in a model that shows dependencies of different societal, behavioural and legal variables. They can serve as major input to the discussion on drug driving and can be of practical use for rehabilitation and prevention purposes. The results can be summarised as follows: - Compared to the results of a German roadside survey from 1994, the prevalences that are found within the present study seem pretty low. This finding is discussed and possible explanations for the described trend are lined out. Furthermore, the prevalences that were calculated in the present study are compared to current data from other European countries. - The results show differences between users and controls on several variables. The differences indicate that substance use impacts on the structuring of day-to-day life. Overall, the controls’ days proceed more along a daily working routine than the users’ (e.g. less mobility at night, more mobility at rush-hour, alcohol consumption mainly at nights out). - The individual extent to which drugs are consumed differs dependent on daytime, day of the week and kind of substance. Of course, these dependencies also influence the occurrence of drug driving. Other factors of influence on drug driving are the distance, the availability of alternative modes of transport as well as the presence of female companions. - Not everybody who uses drugs drives under the influence of drugs. A striking predictor for frequent drug driving and highly intoxicated driving is a high consumption, associated with risky consumption patterns and a low subjective feeling of impairment after drug consumption. - The subjects’ attitudes towards drug driving and their beliefs about social norms largely go in line with the behaviour they engage in. Drug users have rather liberal attitudes towards drug use and driving under influence. - A possible deterrence effect of sanctioning and police enforcement and its dependence on the acceptance and awareness of the measures is delineated. - Only small effects are found when examining the objective impairment that is caused by drug use by a computer-based test battery. This result is critically discussed with regards to the operationalisation of the study groups. - Except from driving under influence, there is no evidence to suggest that DUI offenders also show problematic behaviour according to other traffic-related measures. - Parents and peers may have an influence as role models on the development of problematic behaviour. A good relationship between parents and children may have a positive impact on the development of conventional values and behaviour. - Drug use is associated with some crucial personality dimensions and drugs are often used to solve personal problems. A less precise but similar difference was found for users who commit many drives under influence compared to users who never or only sometimes drive under influence. Moreover, users marginally more often have psychological problems compared to controls. Finally, the strengths and weaknesses of the new methodological approach of data collection are discussed as well as the challenges that are faced when implementing it. All in all, it has proved to be a promising method and should serve as a standard to which future studies should aspire.
Automation in Software Performance Engineering Based on a Declarative Specification of Concerns
(2019)
Software performance is of particular relevance to software system design, operation, and evolution because it has a significant impact on key business indicators. During the life-cycle of a software system, its implementation, configuration, and deployment are subject to multiple changes that may affect the end-to-end performance characteristics. Consequently, performance analysts continually need to provide answers to and act based on performance-relevant concerns. To ensure a desired level of performance, software performance engineering provides a plethora of methods, techniques, and tools for measuring, modeling, and evaluating performance properties of software systems. However, the answering of performance concerns is subject to a significant semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted. Performance evaluation approaches come with different strengths and limitations concerning, for example, accuracy, time-to-result, or system overhead. For the involved stakeholders, it can be an elaborate process to reasonably select, parameterize and correctly apply performance evaluation approaches, and to filter and interpret the obtained results. An additional challenge is that available performance evaluation artifacts may change over time, which requires to switch between different measurement-based and model-based performance evaluation approaches during the system evolution. At model-based analysis, the effort involved in creating performance models can also outweigh their benefits.
To overcome the deficiencies and enable an automatic and holistic evaluation of performance throughout the software engineering life-cycle requires an approach that: (i) integrates multiple types of performance concerns and evaluation approaches, (ii) automates performance model creation, and (iii) automatically selects an evaluation methodology tailored to a specific scenario. This thesis presents a declarative approach —called Declarative Performance Engineering (DPE)— to automate performance evaluation based on a humanreadable specification of performance-related concerns. To this end, we separate the definition of performance concerns from their solution. The primary scientific contributions presented in this thesis are:
A declarative language to express performance-related concerns and a corresponding processing framework:
We provide a language to specify performance concerns independent of a concrete performance evaluation approach. Besides the specification of functional aspects, the language allows to include non-functional tradeoffs optionally. To answer these concerns, we provide a framework architecture and a corresponding reference implementation to process performance concerns automatically. It allows to integrate arbitrary performance evaluation approaches and is accompanied by reference implementations for model-based and measurement-based performance evaluation.
Automated creation of architectural performance models from execution traces:
The creation of performance models can be subject to significant efforts outweighing the benefits of model-based performance evaluation. We provide a model extraction framework that creates architectural performance models based on execution traces, provided by monitoring tools.The framework separates the derivation of generic information from model creation routines. To derive generic information, the framework combines state-of-the-art extraction and estimation techniques. We isolate object creation routines specified in a generic model builder interface based on concepts present in multiple performance-annotated architectural modeling formalisms. To create model extraction for a novel performance modeling formalism, developers only need to write object creation routines instead of creating model extraction software from scratch when reusing the generic framework.
Automated and extensible decision support for performance evaluation approaches:
We present a methodology and tooling for the automated selection of a performance evaluation approach tailored to the user concerns and application scenario. To this end, we propose to decouple the complexity of selecting a performance evaluation approach for a given scenario by providing solution approach capability models and a generic decision engine. The proposed capability meta-model enables to describe functional and non-functional capabilities of performance evaluation approaches and tools at different granularities. In contrast to existing tree-based decision support mechanisms, the decoupling approach allows to easily update characteristics of solution approaches as well as appending new rating criteria and thereby stay abreast of evolution in performance evaluation tooling and system technologies.
Time-to-result estimation for model-based performance prediction:
The time required to execute a model-based analysis plays an important role in different decision processes. For example, evaluation scenarios might require the prediction results to be available in a limited period of time such that the system can be adapted in time to ensure the desired quality of service. We propose a method to estimate the time-to-result for modelbased performance prediction based on model characteristics and analysis parametrization. We learn a prediction model using performancerelevant features thatwe determined using statistical tests. We implement the approach and demonstrate its practicability by applying it to analyze a simulation-based multi-step performance evaluation approach for a representative architectural performance modeling formalism.
We validate each of the contributions based on representative case studies. The evaluation of automatic performance model extraction for two case study systems shows that the resulting models can accurately predict the performance behavior. Prediction accuracy errors are below 3% for resource utilization and mostly less than 20% for service response time. The separate evaluation of the reusability shows that the presented approach lowers the implementation efforts for automated model extraction tools by up to 91%. Based on two case studies applying measurement-based and model-based performance evaluation techniques, we demonstrate the suitability of the declarative performance engineering framework to answer multiple kinds of performance concerns customized to non-functional goals. Subsequently, we discuss reduced efforts in applying performance analyses using the integrated and automated declarative approach. Also, the evaluation of the declarative framework reviews benefits and savings integrating performance evaluation approaches into the declarative performance engineering framework. We demonstrate the applicability of the decision framework for performance evaluation approaches by applying it to depict existing decision trees. Then, we show how we can quickly adapt to the evolution of performance evaluation methods which is challenging for static tree-based decision support systems. At this, we show how to cope with the evolution of functional and non-functional capabilities of performance evaluation software and explain how to integrate new approaches. Finally, we evaluate the accuracy of the time-to-result estimation for a set of machinelearning algorithms and different training datasets. The predictions exhibit a mean percentage error below 20%, which can be further improved by including performance evaluations of the considered model into the training data. The presented contributions represent a significant step towards an integrated performance engineering process that combines the strengths of model-based and measurement-based performance evaluation. The proposed performance concern language in conjunction with the processing framework significantly reduces the complexity of applying performance evaluations for all stakeholders. Thereby it enables performance awareness throughout the software engineering life-cycle. The proposed performance concern language removes the semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted by the user.
The generation of high harmonics is an ideal method to convert frequencies of the infrared- or visible range into the soft x-ray range. This process demands high laser intensities that are nowadays supplied by femtosecond laser systems. As the temporal and spatial coherence properties of the laser are transferred during the conversion process, the generated high harmonics will propagate as a beam with high peak-brightness. Under ideal conditions the generation of soft-x-ray pulses shorter than one femtosecond is possible. These properties are exploited in many applications like time-resolved x-ray spectroscopy. The topic of this thesis is the generation and optimization of high harmonics. A variety of conversion setups is investigated (jet of noble gas atoms, gas-filled hollow-fiber, water microdroplets) and theoretical models present ideas to further enhance the conversion efficiency (using excited atoms or aligned molecules). In different setups the peak intensity of the fundamental laser pulses is increased by spectral broadening and subsequent temporal compression. This is achieved with the help of pulse shaping devices that can modify the spectral phase and therefore also the temporal intensity distribution of laser pulses. These pulse shaping devices are controlled by an evolutionary algorithm. With this setup not only adaptive compression of laser pulses is possible, but also the engineering of specific laser pulse shapes to optimize an experimental output. This setup was used to influence the process of high harmonic generation. It is demonstrated that the spectral distribution of the generated soft-x-ray radiation can be controlled by temporal pulse shaping. This method to tailor high harmonics is complemented by spatial shaping techniques. These findings demonstrate the realization of a tunable source of soft-x-ray radiation.
The scope of computational chemistry can be broadened by developing new methods and more efficient algorithms. However, the evaluation of the applicability of the methods for the different fields of chemistry is equally important. In this thesis systems with an unusual and complex electronic structure, such as excitonic states in organic semiconductors, a boron-containing bipolaron and the excited states of pyracene were studied and the applicability of the toolkit of computational chemistry was investigated. Concerning the organic semiconductors the focus was laid on organic solar cells, which are one of the most promising technologies with regard to satisfying the world's need for cheap and environmentally sustainable energy. This is due to the low production and material costs and the possibility of using flexible and transparent devices. However, their efficiency does still not live up to the expectations. Especially the exciton diffusion lengths seem to be significantly too short. In order to arrive at improved modules, a fundamental understanding of the elementary processes occurring in the cell on the molecular and supramolecular level is needed. Computational chemistry can provide insight by separating the different effects and providing models for predictions and prescreenings. In this thesis, the focus was laid on the description of excitonic states in merocyanines and perylene-based dyes taking the influence of the environment into account.
At first, the photochemical isomerization between two configurations of 6-nitro BIPS observed experimentally was studied by first benchmarking several functionals against SCS-ADC(2) in the gas phase and subsequently calculating the excited-state potential energy surface. The geometries obtained from a relaxed scan in the ground state as well as from a scan in the excited state were used. The environment was included using different polarizable continuum models. It was shown that the choice of the model and especially the question of the state specificity of the approach is of vital importance. Using the results of the calculations, a two-dimensional potential energy surface could be constructed that could be used to explain the experimental findings. Furthermore, the importance of the excited-state isomerization as a potential deactivation channel in the exciton transport was pointed out.
Then the assessment of the suitability of different merocyanines for optoelectronic applications with quantum-chemical methods was discussed. At first, the effect of the environment on the geometry, especially on the bond length alternation pattern, was investigated. It was shown that the environment changes the character of the ground-state wave function of several merocyanines qualitatively, which means that the results of gas-phase calculations are meaningless - at least when a comparison with solution or device data is desired. It was demonstrated that using a polarizable continuum model with an effective epsilon, a qualitative agreement between the calculated geometry and the geometry in the crystal structure can be obtained. Therefore, by comparing the bond length alternation in solution and in the crystal, a rough estimate of the effect of the crystal environment can be made.
It was further shown that the connection between the HOMO energy and the open-circuit voltage is not as simple as it is often implied in the literature. It was discussed that it is not clear whether the HOMO of a single molecule or a $\pi$-stack containing several monomers should be used and if the environmental charges of the bulk phase or the interface should be included. Investigating the dependence of the HOMO energy on the stack size yielded no definitive trend. Furthermore, it was discussed that the effect due the optimization of the modules (solvent, bulk heterojunction) during the production masks any potential correlation between the HOMO energy and measured open-circuit values. Therefore, a trend can only be expected for unoptimized bilayer cells. It was concluded that ultimately, the importance of the HOMO energy should not be overestimated.
The correlation between the exciton reorganization energy and the so-called cyanine limit, which is predicted by a simple two-state model, was also discussed. By referring to the results of VB calculations, it was discussed that the correlation indeed exists and is non-negligible, although the effect is not as strong as one might have expected. In this context, a potential application of a VB/MM approach was covered briefly. The importance of the molecular reorganization energy and the device morphology was also discussed.
It was concluded that the optimization of merocyanines for organic optoelectronic devices is inherently a multiparameter problem and one cannot expect to find one particular parameter, which solely controls the efficiency.
The perylene-based dyes were studied with a focus on the description of a potential trapping mechanism involving an intermolecular motion in a dimer. The aim was to find methods which can be applied to larger model systems than a dimer and take the effect of the environment into account. As a test coordinate the longitudinal shift of two monomers against each other was used. At first, it was demonstrated how the character of an excited state in a dimer can be defined and how it can be extracted from a standard quantum-chemical calculation. Then several functionals were benchmarked and their applicability or failure was rationalized using the character analysis. Two recipes could be proposed, which were applied to a constraint optimization (only intermolecular degrees of freedom) in the excited states of the PBI dimer and to the description of the potential energy surfaces of ground and excited states along a longitudinal displacement in the perylene tetramer, respectively.
It was further demonstrated that the semi-empirical OMx methods fail to give an accurate description of the excited-state potential energy surfaces as well as the ground-state surface along the test coordinate. This failure could be attributed to an underestimation of overlap-dependent terms. Consequently, it could be shown that the methods are applicable to large intermolecular distances, where the overlap is negligible. The results of DFT calculations with differently composed basis sets suggested that adding an additional single p-function for each atom should significantly improve the performance.
QM/MM methods are ideally suited to take the effect of the environment on a a dimer model system into account. However, it was shown that standard force fields also give an incorrect description of the interaction between the monomers along the intermolecular coordinate. This failure was attributed to the isotropic atom-atom interaction in the repulsion term of the Lennard-Jones potential. This was corroborated using two simple proof-of-principle anisotropy models. Therefore, a novel force field called OPLS-AA_O was presented that is based on OPLS-AA, but uses an anisotropic model for the repulsion. The model involves the overlap integral between the molecular densities, which are modeled as a sum of atom-centered p-type Gaussian functions. It was shown that using this force field an excellent agreement with the DFT results can be obtained when the correct parameters are used. These parameters, however, are not very generalizable, which was attributed to the simplicity of the model in its current state (using the same exponential parameter for all atoms). As a short excursion, the applicability of an MO-based overlap model was discussed.
It was demonstrated that the repulsion term based on the density overlap can be used to correct the failure of the OMx methods for the ground states. This is in accord with the assumption that an underestimation of the overlap terms is responsible for the failure.
It was shown that OPLS-AA_O also gives an excellent description of the longitudinal shift in a PBI tetramer. Using the tetramer as a test system and applying the recipe obtained in the TDDFT benchmark for the QM-part and OPLS-AA_O for the MM-part in conjunction with an electrostatic embedding scheme, a QM/MM description of the excited states of the PBI dimer including the effect of the environment could be obtained.
In the last chapter the theoretical description of the Bis(borolyl)thiophene dianion and the excited states of pyracene were discussed. The electronic structure of the Bis(borolyl)thiophene dianion - a negative bipolaron - was elucidated using DFT and CASPT2 methods. Furthermore, an estimation of the extent of triplet admixture to the ground state due to spin-orbit coupling was given.
In the second project the S1 and S2 states of pyracene were computed using SCS-CC2 and SCS-ADC(2) and an estimation for the balance between aromaticity and ring strain was given. This also involved computing the vibrational frequencies in the excited states.
In both studies the results of the computations were able to rationalize and complete experimental results.
The genetic modification of T cells for the expression a chimeric antigen receptor (CAR) endows them with a new specificity for an antigen. Adoptive immunotherapy with CD19-CAR T cells has achieved high rates of sustained complete remissions in B cell malignancies. However, the downregulation or loss of the targeted antigen after mono-specific CAR T cell therapy, e.g. against CD19 or CD22, has been reported. Targeting multiple antigens on tumour cells, sequentially or simultaneously, could overcome this limitation. Additionally, targeting multiple antigens with CAR T cells could drive the translation from hematologic malignancies to prevalent solid cancers, which often express tumour-associated antigens heterogeneously. We hypothesised that expression of a universal CAR, which can be programmed with hapten-like molecules, could endow T cells with specificities for multiple antigens.
In this study we introduce a novel chemically programmable CAR (cpCAR) based on monoclonal antibody h38C2. Our data show, that cpCARs form a reversible chemical bond to molecules containing a diketone-group and therefore can be programmed to acquire multiple specificities. We programmed cpCAR T cells with hapten-like compounds against integrins αvβ3 and α4β1 as well as the folate receptor. We observed tumour cell lysis, IFN ɣ and IL-2 production and proliferation of programmed cpCAR T cells against tumour cells expressing the respective target antigen in vitro.
As a reference to cpCARs programmed against αvβ3, we further introduced novel conventional αvβ3-CARs. These CARs, based on humanised variants of monoclonal antibody LM609 (hLM609), directly bind to integrin αvβ3 via their scFv. The four αvβ3-CAR constructs comprised either an scFv with higher affinity (hLM609v7) or lower affinity (hLM609v11) against αvβ3 integrin and either a long (IgG4 hinge, CH2, CH3) or short (IgG4 hinge) extracellular spacer. We selected the hLM609v7-CAR with short spacer, which showed potent anti-tumour reactivity both in vitro and in a murine xenograft model, for comparison with the cpCAR programmed against αvβ3. Our data show specific lysis of αvβ3-positive tumour cells, cytokine production and proliferation of both hLM609-CAR T cells and cpCAR T cells in vitro. However, conventional hLM609-CAR T cells mediated stronger anti-tumour effects compared to cpCAR T cells in the same amount of time. In line with the in vitro data, complete destruction of tumour lesions in a murine melanoma xenograft model was only observed for mice treated with conventional αvβ3-CAR T cells.
Collectively, we introduce a cpCAR, which can be programmed against multiple tumour antigens, and hLM609-CARs specific for the integrin αvβ3. The cpCAR technology bears the potential to counteract current limitations, e.g. antigen loss, of current monospecific CAR T cell therapy. Targeting αvβ3 integrin with CAR T cells could have clinical applications in the treatment of solid malignancies, because αvβ3 is not only expressed on a variety of solid malignancies, but also on tumour-associated vasculature and fibroblast.
Priority task of the thesis was to replace oxygen atoms in sulfur oxoanions SOnm– or imido groups in sulfur polyimido anions S(NR)nm– isoelectronically by R2C-methylene groups. This would open a wide avenue to new target molecules containing a formally double bonded carbon next to formally double bonded nitrogen atoms in highly charged sulfur-centred anions like S(CR2)x(NR)ym–. They clearly are reminiscent to sulfur ylides. Both, alkylendiimidosulfites and alkylentriimidosulfates are accessible via deprotonaton of the corresponding alkyldiimidosulfinates and alkyltriimidosulfonates with methyllithium. The reactivity of the novel compounds is dominated by the carbanionic centre. Addition reactions to another SN formal doubble bond are feasible and are leading to the yet unknown imidoanalogues compounds alkyl-bis-(diimidosulfinates) and alkyl-bis-(triimidosulfonates).