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The general map-labeling problem is as follows: given a set of geometric objects to be labeled, or features, in the plane, and for each feature a set of label positions, maximize the number of placed labels such that there is at most one label per feature and no two labels overlap. There are three types of features in a map: point, line, and area features. Unfortunately, one cannot expect to find efficient algorithms that solve the labeling problem optimally.
Interactive maps are digital maps that only show a small part of the entire map whereas the user can manipulate the shown part, the view, by continuously panning, zooming, rotating, and tilting (that is, changing the perspective between a top and a bird view). An example for the application of interactive maps is in navigational devices. Interactive maps are challenging in that the labeling must be updated whenever labels leave the view and, while zooming, the label size must be constant on the screen (which either makes space for further labels or makes labels overlap when zooming in or out, respectively). These updates must be computed in real time, that is, the computation must be so fast that the user does not notice that we spend time on the computation. Additionally, labels must not jump or flicker, that is, labels must not suddenly change their positions or, while zooming out, a vanished label must not appear again.
In this thesis, we present efficient algorithms that dynamically label point and line features in interactive maps. We try to label as many features as possible while we prohibit labels that overlap, jump, and flicker. We have implemented all our approaches and tested them on real-world data. We conclude that our algorithms are indeed real-time capable.
As organic semiconductors gain more importance for application, research into their properties has become necessary. This work investigated the exciton and charge transport properties of organic semiconducting crystals. Based on a hopping approach, protocols have been developed for the calculation of Charge mobilities and singlet exciton diffusion coefficients. The protocols do not require any input from experimental data except for the x-ray crystal structure, since all needed quantities can be taken from high-level quantum chemical calculations. Hence, they allow to predict the transport properties of yet unknown compounds for given packings, which is important for a rational design of new materials. Different thermally activated hopping models based on time-dependent perturbation theory were studied for the charge and exciton transport; i. e. the spectral overlap approach, the Marcus theory, and the Levich-Jortner theory. Their derivations were presented coherently in order to emphasize the different levels of approximations and their respective prerequisites. A short reference was made to the empirical Miller-Abrahams hopping rate. Rate equation approaches to calculate the stationary charge carrier mobilities and exciton diffusion coefficients have been developed, which are based on the master equation. The rate equation approach is faster and more efficient than the frequently used Monte Carlo method and, therefore, provides the possibility to study the anisotropy of the transport parameters and their three-dimensional representation in the crystal. The Marcus theory, originally derived for outer sphere electron transfer in solvents, had already been well established for charge transport in organic solids. It was shown that this theory fits even better for excitons than for charges compared with the experiment. The Levich-Jortner theory strongly overestimates the charge carrier mobilities and the results deviate even stronger from the experiment than those obtained with the Marcus theory. The latter contains larger approximations by treating all vibrational modes classically. The spectral overlap approach in combination with the developed rate equations leads to even quantitatively very good results for exciton diffusion lengths compared to experiment. This approach and the appendant rate equations have also been adapted to charge transport. The Einstein relation, which relates the diffusion coefficient with the mobility, is important for the rate equations, which have been developed here for transport in organic crystals. It has been argued that this relation does not hold in disordered organic materials. This was analyzed within the Framework of the Gaussian disorder model and the Miller-Abrahams hopping rate.
The role of human Ephrin receptor tyrosine kinase A2 (EphA2) in Chlamydia trachomatis infection
(2015)
Chlamydia trachomatis (Ctr), an obligate intracellular gram negative human pathogen, causes sexually transmitted diseases and acquired blindness in developing countries. The infectious elementary bodies (EB) of Ctr involved in adherence and invasion processes are critical for chlamydial infectivity and subsequent pathogenesis which requires cooperative interaction of several host cell factors. Few receptors have been known for this early event, yet the molecular mechanism of these receptors involvement throughout Ctr infection is not known. Chlamydial inclusion membrane serves as a signaling platform that coordinates Chlamydia-host cell interaction which encouraged me to look for host cell factors that associates with the inclusion membrane, using proteome analysis. The role of these factors in chlamydial replication was analyzed by RNA interference (RNAi) (in collaboration with AG Thomas Meyer). Interestingly, EphrinA2 receptor (EphA2), a cell surface tyrosine kinase receptor, implicated in many cancers, was identified as one of the potential candidates. Due to the presence of EphA2 in the Ctr inclusion proteome data, I investigated the role of EphA2 in Ctr infection. EphA2 was identified as a direct interacting receptor for adherence and entry of C. trachomatis. Pre-incubation of Ctr-EB with recombinant human EphA2, knockdown of EphA2 by siRNA, pretreatment of cells with anti-EphA2 antibodies or the tyrosine kinase inhibitor dasatinib significantly reduced Ctr infection. This marked reduction of Ctr infection was seen with both epithelial and endothelial cells used in this study. Ctr activates EphA2 upon infection and invades the cell together with the activated EphA2 receptor that interacts and activates PI3K survival signal, promoting chlamydial replication. EphA2 upregulation during infection is associated with Ctr inclusion membrane inside the cell and are prevented being translocated to the cell surface. Ephrins are natural ligands for Ephrin receptors that repress the activation of the PI3K/Akt pathway in a process called reverse signaling. Purified Ephrin-A1, a ligand of EphA2, strongly interferes with chlamydial infection and normal development, supporting the central role of these receptors in Chlamydia infection. Overexpression of full length EphA2, but not the mutant form lacking the intracellular cytoplasmic domain, enhanced PI3K activation and Ctr infection. Ctr infection induces EphA2 upregulation and is mediated by activation of ERK signaling pathway. Interfering with EphA2 upregulation sensitizes Ctr-infected cells to apoptosis induced by tumor necrosis factor-alpha (TNF-α) suggesting the importance of intracellular EphA2 signaling.
Collectively, these results revealed the first Ephrin receptor “EphA2” that functions in promoting chlamydial infection. In addition, the engagement of a cell surface receptor at the inclusion membrane is a new mechanism how Chlamydia subverts the host cell and induces apoptosis resistance. By applying the natural ligand Ephrin-A1 and targeting EphA2 offers a promising new approach to interfere with Chlamydia infection. Thus, the work provides the evidence for a host cell surface tyrosine kinase receptor that is exploited for invasion as well as for receptor-mediated intracellular signaling to facilitate the chlamydial replication.
Knowledge-based systems (KBS) face an ever-increasing interest in various disciplines and contexts. Yet, the former aim to construct the ’perfect intelligent software’ continuously shifts to user-centered, participative solutions. Such systems enable users to contribute their personal knowledge to the problem solving process for increased efficiency and an ameliorated user experience. More precisely, we define non-functional key requirements of participative KBS as: Transparency (encompassing KBS status mediation), configurability (user adaptability, degree of user control/exploration), quality of the KB and UI, and evolvability (enabling the KBS to grow mature with their users). Many of those requirements depend on the respective target users, thus calling for a more user-centered development. Often, also highly expertise domains are targeted — inducing highly complex KBs — which requires a more careful and considerate UI/interaction design. Still, current KBS engineering (KBSE) approaches mostly focus on knowledge acquisition (KA) This often leads to non-optimal, little reusable, and non/little evaluated KBS front-end solutions.
In this thesis we propose a more encompassing KBSE approach. Due to the strong mutual influences between KB and UI, we suggest a novel form of intertwined UI and KB development. We base the approach on three core components for encompassing KBSE:
(1) Extensible prototyping, a tailored form of evolutionary prototyping; this builds on mature UI prototypes and offers two extension steps for the anytime creation of core KBS prototypes (KB + core UI) and fully productive KBS (core KBS prototype + common framing functionality). (2) KBS UI patterns, that define reusable solutions for the core KBS UI/interaction; we provide a basic collection of such patterns in this work. (3) Suitable usability instruments for the assessment of the KBS artifacts. Therewith, we do not strive for ’yet another’ self-contained KBS engineering methodology. Rather, we motivate to extend existing approaches by the proposed key components. We demonstrate this based on an agile KBSE model.
For practical support, we introduce the tailored KBSE tool ProKEt. ProKEt offers a basic selection of KBS core UI patterns and corresponding configuration options out of the box; their further adaption/extension is possible on various levels of expertise. For practical usability support, ProKEt offers facilities for quantitative and qualitative data collection. ProKEt explicitly fosters the suggested, intertwined development of UI and KB. For seamlessly integrating KA activities, it provides extension points for two selected external KA tools: For KnowOF, a standard office based KA environment. And for KnowWE, a semantic wiki for collaborative KA. Therewith, ProKEt offers powerful support for encompassing, user-centered KBSE.
Finally, based on the approach and the tool, we also developed a novel KBS type: Clarification KBS as a mashup of consultation and justification KBS modules. Those denote a specifically suitable realization for participative KBS in highly expertise contexts and consequently require a specific design. In this thesis, apart from more common UI solutions, we particularly also introduce KBS UI patterns especially tailored towards Clarification KBS.
At the center of the Internet’s protocol stack stands the Internet Protocol (IP) as a common denominator that enables all communication. To make routing efficient, resilient, and scalable, several aspects must be considered. Care must be taken that traffic is well balanced to make efficient use of the existing network resources, both in failure free operation and in failure scenarios.
Finding the optimal routing in a network is an NP-complete problem. Therefore, routing optimization is usually performed using heuristics. This dissertation shows that a routing optimized with one objective function is often not good when looking at other objective functions. It can even be worse than unoptimized routing with respect to that objective function. After looking at failure-free routing and traffic distribution in different failure scenarios, the analysis is extended to include the loop-free alternate (LFA) IP fast reroute mechanism. Different application scenarios of LFAs are examined and a special focus is set on the fact that LFAs usually cannot protect all traffic in a network even against single link failures. Thus, the routing optimization for LFAs is targeted on both link utilization and failure coverage. Finally, the pre-congestion notification mechanism PCN for network admission control and overload protection is analyzed and optimized. Different design options for implementing the protocol are compared, before algorithms are developed for the calculation and optimization of protocol parameters and PCN-based routing.
The second part of the thesis tackles a routing problem that can only be resolved on a global scale. The scalability of the Internet is at risk since a major and intensifying growth of the interdomain routing tables has been observed. Several protocols and architectures are analyzed that can be used to make interdomain routing more scalable. The most promising approach is the locator/identifier (Loc/ID) split architecture which separates routing from host identification. This way, changes in connectivity, mobility of end hosts, or traffic-engineering activities are hidden from the routing in the core of the Internet and the routing tables can be kept much smaller. All of the currently proposed Loc/ID split approaches have their downsides. In particular, the fact that most architectures use the ID for routing outside the Internet’s core is a poor design, which inhibits many of the possible features of a new routing architecture. To better understand the problems and to provide a solution for a scalable routing design that implements a true Loc/ID split, the new GLI-Split protocol is developed in this thesis, which provides separation of global and local routing and uses an ID that is independent from any routing decisions.
Besides GLI-Split, several other new routing architectures implementing Loc/ID split have been proposed for the Internet. Most of them assume that a mapping system is queried for EID-to-RLOC mappings by an intermediate node at the border of an edge network. When the mapping system is queried by an intermediate node, packets are already on their way towards their destination, and therefore, the mapping system must be fast, scalable, secure, resilient, and should be able to relay packets without locators to nodes that can forward them to the correct destination. The dissertation develops a classification for all proposed mapping system architectures and shows their similarities and differences. Finally, the fast two-level mapping system FIRMS is developed. It includes security and resilience features as well as a relay service for initial packets of a flow when intermediate nodes encounter a cache miss for the EID-to-RLOC mapping.
A simple test setup has been developed at Institute of Aerospace Information Technology, University of Würzburg, Germany to realize basic functionalities for formation flight of quadrocopters. The test environment is planned to be utilized for developing and validating the algorithms for formation flying capability in real environment as well as for education purpose. An already existing test bed for single quadrocopter was extended with necessary inter-communication and distributed control mechanism to test the algorithms for formation flights in 2 degrees of freedom (roll / pitch). This study encompasses the domain of communication, control engineering and embedded systems programming. Bluetooth protocol has been used for inter-communication between two quadrocopters. A simple approach of PID control in combination with Kalman filter has been exploited. MATLAB Instrument Control Toolbox has been used for data display, plotting and analysis. Plots can be drawn in real-time and received information can also be stored in the form of files for later use and analysis. The test setup has been developed indigenously and at considerably low cost. Emphasis has been placed on simplicity to facilitate students learning process. Several lessons have been learnt during the course of development of this setup. Proposed setup is quite flexible that can be modified as per changing requirements.
Microbial species (bacteria and archaea) in the gut are important for human health in various ways. Not only does the species composition vary considerably within the human population, but each individual also appears to have its own strains of a given species. While it is known from studies of bacterial pan-genomes, that genetic variation between strains can differ considerably, such as in Escherichia coli, the extent of genetic variation of strains for abundant gut species has not been surveyed in a natural habitat. This is mainly due to the fact that most of these species cannot be cultured in the laboratory. Genetic variation can range from microscale genomic rearrangements such as small nucleotide polymorphism (SNP) to macroscale large genomic rearrangements like structural variations. Metagenomics offers an alternative solution to study genetic variation in prokaryotes, as it involves DNA sequencing of the whole community directly from the environment. However, most metagenomic studies to date only focus on variation in gene abundance and hence are not able to characterize genetic variation (in terms of presence or absence of SNPs and genes) of gut microbial strains of individuals.
The aim of my doctorate studies was therefore to study the extent of genetic variation in the genomic sequence of gut prokaryotic species and its phenotypic effects based on: (1) the impact of SNP variation in gut bacterial species, by focusing on genes under selective pressure and (2) the gene content variation (as a proxy for structural variation) and their effect on microbial species and the phenotypic traits of their human host.
In the first part of my doctorate studies, I was involved in a project in which we created a catalogue of 10.3 million SNPs in gut prokaryotic species, based on metagenomes. I used this to perform the first SNP-based comparative study of prokaryotic species evolution in a natural habitat. Here, I found that strains of gut microbial species in different individuals evolve at more similar rates than the strains within an individual. In addition, I found that gene evolution can be uncoupled from the evolution of its originating species, and that this could be related to selective pressure such as diet, exemplified by galactokinase gene (galK). Despite the individuality (i.e. uniqueness of each individual within the studied metagenomic dataset) in the SNP profile of the gut microbiota that we found, for most cases it is not possible to link SNPs with phenotypic differences. For this reason I also used gene content as a proxy to study structural variation in metagenomes.
In the second part of my doctorate studies, I developed a methodology to characterize the variability of gene content in gut bacterial species, using metagenomes. My approach is based on gene deletions, and was applied to abundant species (demonstrated using a set of 11 species). The method is sufficiently robust as it captures a similar range of gene content variability as has been detected in completely sequenced genomes. Using this procedure I found individuals differ by an average of 13% in their gene content of gut bacterial strains within the same species. Interestingly no two individuals shared the same gene content across bacterial species. However, this variation corresponds to a lower limit, as it is only accounts for gene deletion and not insertions. This large variation in the gene content of gut strain was found to affect important functions, such as polysaccharide utilization loci (PULs) and capsular polysaccharide synthesis (CPS), which are related with digestion of dietary fibers.
In summary, I have shown that metagenomics based approaches can be robust in characterizing genetic variation in gut bacterial species. I also illustrated, using examples both for SNPs and gene content (galK, PULs and CPS), that this genetic variation can be used to predict the phenotypic characteristics of the microbial species, as well as predicting the phenotype of their human host (for example, their capacity to digest different food components). Overall, the results of my thesis highlight the importance of characterizing the strains in the gut microbiome analogous to the emerging variability and importance of human genomics.
Protein kinases as targets for the development of novel drugs against alveolar echinococcosis
(2015)
The metacestode larval stage of the fox tapeworm Echinococcus multilocularis is the causative agent of alveolar echinococcosis (AE), one of the most lethal zoonosis of the northern hemisphere. The development of metacestode vesicles by asexual multiplication and the almost unrestricted infiltrative growth within the host organs is ensured from a population of undifferentiated, proliferative cells, so-called germinative cells. AE treatment options include surgery, if possible, as well as Benzimidazole-based chemotherapy (BZ). Given that the cellular targets of BZs, the -tubulins, are highly conserved between cestodes and humans, the chemotherapy is associated with considerable side-effects. Therefore, BZ can only be applied in parasitostatic doses and has to be given lifelong. Furthermore, the current anti-AE chemotherapy is ineffective in eliminating the germinative cell population of the parasite, which leads to remission of parasite growth as soon as therapy is discontinued.
This work focuses on protein kinases involved in the proliferation and development of the parasite with the intention of developing novel anti-AE therapies. Polo-like kinases (Plks) are important regulators of the eukaryotic cell cycle and are involved in the regulation and formation of the mitotic spindles during the M-phase of the cell cycle. Plks have already been shown to be associated with deregulated cellular growth in human cancers and have been investigated as novel drug targets in the flatworm parasite Schistosoma mansoni. In the first part of this work, the characterisation of a novel and druggable parasite enzyme, EmPlk1, which is homologous to the polo-like kinase 1 (Plk1) of humans and S. mansoni (SmPlk1), is presented. Through in situ hybridisation, it could be demonstrated that emplk1 is specifically expressed in the Echinococcus germinative cells. Upon heterologous expression in the Xenopus oocyte system, EmPlk1 induced germinal vesicle breakdown, thus indicating that it is an active kinase. Furthermore, BI 2536, a compound originally designed to inhibit the human ortholog of EmPlk1, inhibited the EmPlk1 activity at a concentration of 25 nM. In vitro treatment of parasite vesicles with similar concentrations of BI 2536 led to the elimination of the germinative cells from Echinococcus larvae, thus preventing the growth and further development of the parasite. In in vitro cultivation systems for parasite primary cells, BI 2536 effectively inhibited the formation of new metacestode vesicles from germinative cells. Thus, BI 2536 has profound anti-parasitic activities in vitro at concentrations well within the range of plasma levels measured after the administration of safe dosages to patients (50 nM after 24 h). This implies that EmPlk1 is a promising new drug target for the development of novel anti-AE drugs that would specifically affect the parasite’s stem cell population, namely the only parasite cells capable of proliferation. In addition to the chemotherapeutic aspects of this work, the inhibitor BI 2536 could be further used to study the function of stem cells in this model organism, utilising a method of injection of parasite stem cells into metacestode vesicles, for instance, as has been developed in this work.
In the second part of this work, a novel receptor tyrosine kinase, the Venus flytrap kinase receptor (EmVKR) of E. multilocularis has been characterised. Members of this class of single-pass transmembrane receptors have recently been discovered in the related trematode S. mansoni and are associated with the growth and differentiation of sporocyst germinal cells and ovocytes. The ortholog receptor in EmVKR is characterised by an unusual domain composition of an extracellular Venus flytrap module (VFT), which shows significant similarity to GABA receptors, such as the GABAB receptor (γ-amino butyric acid type B) and is linked through a single transmembrane domain to an intracellular tyrosine kinase domain with similarities to the kinase domains of human insulin receptors. Based upon the size (5112bp) of emvkr and nucleotide sequence specificities, efforts have been made to isolate the gene from cell culture samples to study the ligand for the activation of this receptor type in Xenopus oocytes. To date, this type of receptor has only been described in invertebrates, thus making it an attractive target for drug screening. In a first trial, the ATP competitive inhibitor AG 1024 was tested in our in vitro cell culture.
In conclusion, the EmVKR represents a novel receptor tyrosine kinase in E. multilocularis. Further efforts have to be made to identify the activating ligand of the receptor and its cellular function, which might strengthen the case for EmVKR as a potential drug target. The successful depletion of stem cells in the metacestode vesicle by the Plk1 inhibitor BI 2536 gives rise to optimising the chemical component for EmPlk1 as a new potential drug target. Furthermore, this inhibitor opens a new cell culture technique with high potential to study the cellular behaviour and influencing factors of stem cells in vitro.
Several aspects of the stability analysis of large-scale discrete-time systems are considered. An important feature is that the right-hand side does not have have to be continuous.
In particular, constructive approaches to compute Lyapunov functions are derived and applied to several system classes.
For large-scale systems, which are considered as an interconnection of smaller subsystems, we derive a new class of small-gain results, which do not require the subsystems to be robust in some sense. Moreover, we do not only study sufficiency of the conditions, but rather state an assumption under which these conditions are also necessary.
Moreover, gain construction methods are derived for several types of aggregation, quantifying how large a prescribed set of interconnection gains can be in order that a small-gain condition holds.
One of the most popular extensions of the SM is Supersymmetry (SUSY). It is a symmetry relating fermions and bosons and also the only feasible extension to the symmetries of spacetime. With SUSY it is then possible to explain some of the open questions left by the SM while at the same time opening the possibility of gauge unification at a high scale. SUSY theories require the addition of new particles, in particular an extra Higgs doublet and at least as many new scalars as fermions in the SM. Much in the same way that the Higgs boson breaks SU (2)L symmetry, these new scalars can break any symmetry for which they carry a charge through spontaneous symmetry breaking.
Let us assume there is a local minimum of the potential that reproduces the correct phenomenol- ogy for a parameter point of a given model. By exploring whether there are other deeper minima with VEVs that break symmetries we want to conserve, like SU (3)C or U (1)EM , it is possible to exclude regions of parameter space where that happens. The local minimum with the correct phenomenology might still be metastable, so it is also necessary to calculate the probability of tunneling between minima.
In this work we propose and apply a framework to constrain the parameter space of models with many scalars through the minimization of the one-loop eff e potential and the calculation of tunneling times at zero and non zero temperature.After a brief discussion about the shortcomings of the SM and an introduction of the basics of SUSY, we introduce the theory and numerical methods needed for a successful vacuum stability analysis. We then present Vevacious, a public code where we have implemented our proposed framework. Afterwards we go on to analyze three interesting examples.
For the constrained MSSM (CMSSM) we explore the existence of charge- and color- breaking (CCB) minima and see how it constraints the phenomenological relevant region of its parameter space at T = 0. We show that the regions reproducing the correct Higgs mass and the correct relic density for dark matter all overlap with regions suffering from deeper CCB minima.
Inspired by the results for the CMSSM, we then consider the natural MSSM and check the region of parameter space consistent with the correct Higgs mass against CCB minima at T /= 0. We find that regions of parameter space with CCB minima overlap significantly with that reproducing the correct Higgs mass. When thermal eff are considered the majority of such points are then found to have a desired symmetry breaking minimum with very low survival probability. In both these studies we find that analytical conditions presented in the literature fail in dis- criminating regions of parameter space with CCB minima. We also present a way of adapting our framework so that it runs quickly enough for use with parameter fit studies.
Lastly we show a different example of using vacuum stability in a phenomenological study. For the BLSSM we investigate the violation of R-parity through sneutrino VEVs and where in parameter space does this happen. We find that previous analyses in literature fail to identify regions with R-parity conservation by comparing their results to our full numerical analysis.