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Site Directed Immobilization of BMP-2: Two Approaches for the Production of Osteoinductive Scaffolds
(2017)
Bone fractures typically heal without surgical intervention. However, pathological situations exist which impede the healing process resulting in so-called non-union fractures. Such fractures are nowadays treated with scaffold material being introduced into the defect area. These scaffolds can be doped with osteogenic factors, such as bone morphogenetic protein (BMP)2. BMP2 belongs to the most osteogenic growth factors known to date. Its medical use, efficiency and safety have been approved by FDA for certain applications. Currently, BMP2 is distributed with a stabilizing scaffold, which is simply soaked with the growth factor. Due to fast release kinetics supraphysiological high doses of BMP2 are required which are causally associated with severe side effects observed in certain applications being most harmful in the area of the cervical spine. These side-effects include inflammation, swelling and breathing problems, leading to disastrous consequences or secondary surgical interventions. Since it could be shown that a retardation of BMP2 release from the scaffold resulted in superior bone forming properties in vivo, it seems obvious to further reduce this release to a minimum. This can be achieved by covalent coupling which in the past was already elaborated using mainly classical EDC/NHS chemistry. Using this technique coupling of the protein occurs non-site-directedly leading mainly to an unpredictable product outcome with variable osteogenic activities. In order to improve the reproducibility of scaffold functionalization by BMP2 we created variants one of which contains a unique unnatural amino acid substitution within the mature polypeptide sequence (BMP2-K3Plk) and another, BMP2-A2C, in which an N-terminal alanine has been substituted by cysteine. These modifications enable site-specific and covalent immobilization of BMP2 e.g. onto polymeric beads. Both proteins were expressed in E. coli, renatured and purified by cation-exchange chromatography. Both variants were extensively analyzed in terms of purity and biological activity which was tested by in vitro interaction analyses as well as in cell based assays. Both proteins could be successfully coupled to polymeric beads. The different BMP2 functionalized beads were shown to interact with the ectodomain of the type I receptor BMPR-IA in vitro indicating that the biological activity of both BMP2 variants retained upon coupling. Both functionalized beads induced osteogenic differentiation C2C12 cells but only of those cells which have been in close contact to the particular beads. This strongly indicates that the BMP2 variant are indeed covalently coupled and not just adsorbed.
We claim that we have developed a system for a site-specific and covalent immobilization of BMP-2 onto solid scaffolds, potentially eliminating the necessity of high-dose scaffold loading. Since immobilized proteins are protected from removal by extracellular fluids, their activities now rely mainly on the half-life of the used scaffold and the rate of proteolytic degradation. Assuming that due to prolonged times much lower loading capacities might be required we propose that the immobilization strategy employed in this work may be further refined and optimized to replace the currently used BMP2-containing medical products.
A successful therapy for colorectal cancer (CRC), one of the most common malignancies worldwide, requires the greatest possible research effort. Of critical importance is an understanding of the relevant intracellular networks of signaling cascades, their activation, and the resulting cellular changes that are a prerequisite for a more successful CRC therapy. Vascular endothelial growth factor (VEGF) and the appropriate VEGF receptors represent molecular targets that have already been successfully implemented in the clinic (i.e. using monoclonal antibodies, tyrosine kinase inhibitors). However, for platelet derived growth factor (PDGF) and the relevant PDGF receptors, there are currently no clinically approved molecular therapeutics available. However, there are preliminary data to show that PDGF and its associated signaling pathways play an important role in CRC progression. In particular, the PI3K/Akt/mTOR pathway is emerging as an important intracellular partner of PDGF with which to control proliferation, migration, and angiogenesis in tumor cells.
Therefore it was the objective of this work to investigate the multifactorial influence of PDGF on proliferation and metabolism, depending on CRC mutation status. The intention was to identify new therapeutic targets for future cancer therapy through analyses of PDGF-induced intracellular changes.
For this purpose two human colorectal cancer cell lines were analyzed at gene and/or protein level for components of the PI3K/Akt/mTOR and MAPK signaling pathway, c-Myc, p53, and HIF1α (hypoxia-inducible-factor 1α). Changes in proliferation and metabolism, either during stimulation with PDGF and/or PI3K/Akt/mTOR inhibition, were also investigated. Experiments conducted at protein level during PDGF stimulation and/or PI3K/Akt/mTOR inhibition revealed changes in signaling pathways and crosstalk. The influence of the tumor suppressors (retinoblastoma, Rb), oncogenes (c-Myc, p53mut), and HIF1α during stimulation with PDGF, and their interactions in the tumor cell with respect to proliferation and glycolysis warrant further examination in terms of clinical treatment options. Investigations at the gene level of ex vivo samples (UICC I-IV) complete the study with regards to the clinical relevance of PDGF.
PDGF stimulation increases tumor cell proliferation in HT29 cells via the PI3K/Akt/mTOR pathway rather than the MAPK pathway. However, if the PI3K/Akt/mTOR pathway is pharmacologically blocked, PDGF stimulation is mediated by inhibitory crosstalk through the MAPK pathway. Further analyses revealed that specific Akt inhibition impedes tumor cell growth, while PI3K inhibition had little effect on proliferation. Inhibitory crosstalk was found to be responsible for these different effects. Careful intervention strategies are therefore required if future therapies intend to make use of these specific signaling pathways. One aim of future research should be to gain a better understanding of the crosstalk between these signaling pathways. In this fashion, “over-inhibition” of the signal pathways, which would result in additional clinical side effects for patients, could be prevented.
In late stage UICC, more mutation events occur, with tumorigenicity promoted by an increased mutation rate. Given that PDGF is increasingly expressed in the late UICC stages, our data would indicate that PDGF's effects are amplified with increasing malignancy. The activating effect of PDGF on the PI3K/Akt/mTOR pathway and subsequent changes in the activity of p53mut, Rb, c-Myc, and HIF1α, lead to an unfavorable prognosis for colon cancer patients. PDGF acts on colon cancer cells in an Akt-activating, glycolysis-dependent manner. PDGF increases glycolysis and the ability of CRC cells to adjust their energy metabolism. These activities should be taken as possible starting points with which to design therapeutic interventions for CRC therapy.
PDGF, as another representative of the growth factor family, seems to play a similar role to VEGF in CRC. The data from this study underline the importance of the PDGF - PI3K/Akt/mTOR pathway-axis and its potential as a possible target in colorectal cancer. Thus PDGF represents an attractive therapeutic target, besides the VEGF/EGFR-based therapies already used in CRC.
This work is concerned with the syntheses and photophysical properties of para-xylylene bridged macrocycles nPBI with ring sizes from two to nine PBI units, as well as the complexation of polycyclic aromatic guest compounds.
With a reduced but substantial fluorescence quantum yield of 21% (in CHCl3) the free host 2PBI(4-tBu)4 can be used as a dual fluorescence probe. Upon encapsulation of rather electron-poor guests the fluorescence quenching interactions between the chromophores are prevented, leading to a significant fluorescence enhancement to > 90% (“turn-on”). On the other hand, the addition of electron-rich guest molecules induces an electron transfer from the guest to the electron-poor PBI chromophores and thus quenches the fluorescence entirely (“turn-off”). The photophysical properties of the host-guest complexes were studied by transient absorption spectroscopy. These measurements revealed that the charge transfer between guest and 2PBI(4-tBu)4 occurs in the “normal region” of the Marcus-parabola with the fastest charge separation rate for perylene. In contrast, the charge recombination back to the PBI ground state lies far in the “inverted region” of the Marcus-parabola.
Beside complexation of planar aromatic hydrocarbons into the cavity of the cyclophanes an encapsulation of fullerene into the cyclic trimer 3PBI(4-tBu)4 was observed. 3PBI(4-tBu)4 provides a tube-like structure in which the PBI subunits represent the walls of those tubes. The cavity has the optimal size for hosting fullerenes, with C70 fitting better than C60 and a binding constant that is higher by a factor of 10. TA spectroscopy in toluene that was performed on the C60@3PBI(4-tBu)4 complex revealed two energy transfer processes. The first one comes from the excited PBI to the fullerene, which subsequently populates the triplet state. From the fullerene triplet state a second energy transfer occurs back to the PBI to generate the PBI triplet state.
In all cycles that were studied by TA spectroscopy, symmetry-breaking charge separation (SB-CS) was observed in dichloromethane. This process is fastest within the PBI cyclophane 2PBI(4-tBu)4 and slows down for larger cycles, suggesting that the charge separation takes place through space and not through bonds. The charges then recombine to the PBI triplet state via a radical pair intersystem crossing (RP-ISC) mechanism, which could be used to generate singlet oxygen in yields of ~20%.
By changing the solvent to toluene an intramolecular folding of the even-numbered larger cycles was observed that quenches the fluorescence and increases the 0-1 transition band in the absorption spectra. Force field calculations of 4PBI(4-tBu)4 suggested a folding into pairs of dimers, which explains the remarkable odd-even effect with respect to the number of connected PBI chromophores and the resulting alternation in the absorption and fluorescence properties. Thus, the even-numbered macrocycles can fold in a way that all chromophores are in a paired arrangement, while the odd-numbered cycles have open conformations (3PBI(4-tBu)4, 5PBI(4-tBu)4, 7PBI(4-tBu)4) or at least additional unpaired PBI unit (9PBI(4-tBu)4).
With these experiments we could for the first time give insights in the interactions between cyclic PBI hosts and aromatic guest molecules. Associated with the encapsulation of guest molecules a variety of possible applications can be envisioned, like fluorescence sensing, chiral recognition and photodynamic therapy by singlet oxygen generation. Particularly, these macrocycles provide photophysical relaxation pathways of PBIs, like charge separation and recombination and triplet state formation that are hardly feasible in monomeric PBI dyes. Furthermore, diverse compound specific features were found, like the odd-even effect in the folding process or the transition of superficial nanostructures of the tetrameric cycle influenced by the AFM tip. The comprehensive properties of these macrocycles provide the basis for further oncoming studies and can serve as an inspiration for the synthesis of new macrocyclic compounds.
The progress which has been made in semiconductor chip production in recent years enables a multitude of cores on a single die. However, due to further decreasing structure sizes, fault tolerance and energy consumption will represent key challenges. Furthermore, an efficient communication infrastructure is indispensable due to the high parallelism at those systems. The predominant communication system at such highly parallel systems is a Network on Chip (NoC). The focus of this thesis is on NoCs which are based on deflection routing. In this context, contributions are made to two domains, fault tolerance and dimensioning of the optimal link width. Both aspects are essential for the application of reliable, energy efficient, and deflection routing based NoCs.
It is expected that future semiconductor systems have to cope with high fault probabilities. The inherently given high connectivity of most NoC topologies can be exploited to tolerate the breakdown of links and other components. In this thesis, a fault-tolerant router architecture has been developed, which stands out for the deployed interconnection architecture and the method to overcome complex fault situations. The presented simulation results show, all data packets arrive at their destination, even at high fault probabilities. In contrast to routing table based architectures, the hardware costs of the herein presented architecture are lower and, in particular, independent of the number of components in the network.
Besides fault tolerance, hardware costs and energy efficiency are of great importance. The utilized link width has a decisive influence on these aspects. In particular, at deflection routing based NoCs, over- and under-sizing of the link width leads to unnecessary high hardware costs and bad performance, respectively. In the second part of this thesis, the optimal link width at deflection routing based NoCs is investigated. Additionally, a method to reduce the link width is introduced. Simulation and synthesis results show, the herein presented method allows a significant reduction of hardware costs at comparable performance.
This dissertation is dealing with three mathematical areas, namely polynomial matrices over finite fields, linear systems and coding theory.
Coprimeness properties of polynomial matrices provide criteria for the reachability and observability of interconnected linear systems. Since time-discrete linear systems over finite fields and convolutional codes are basically the same objects, these results could be transfered to criteria for non-catastrophicity of convolutional codes.
We calculate the probability that specially structured polynomial matrices are right prime. In particular, formulas for the number of pairwise coprime polynomials and for the number of mutually left coprime polynomial matrices are calculated. This leads to the probability that a parallel connected linear system is reachable and that a parallel connected convolutional codes is non-catastrophic.
Moreover, the corresponding probabilities are calculated for other networks of linear systems and convolutional codes, such as series connection.
Furthermore, the probabilities that a convolutional codes is MDP and that a clock code is MDS are approximated.
Finally, we consider the probability of finding a solution for a linear network coding problem.
In this work, multi-particle quantum optimal control problems are studied in the framework of time-dependent density functional theory (TDDFT).
Quantum control problems are of great importance in both fundamental research and application of atomic and molecular systems. Typical applications are laser induced chemical reactions, nuclear magnetic resonance experiments, and quantum computing.
Theoretically, the problem of how to describe a non-relativistic system of multiple particles is solved by the Schrödinger equation (SE). However, due to the exponential increase in numerical complexity with the number of particles, it is impossible to directly solve the Schrödinger equation for large systems of interest. An efficient and successful approach to overcome this difficulty is the framework of TDDFT and the use of the time-dependent Kohn-Sham (TDKS) equations therein.
This is done by replacing the multi-particle SE with a set of nonlinear single-particle Schrödinger equations that are coupled through an additional potential.
Despite the fact that TDDFT is widely used for physical and quantum chemical calculation and software packages for its use are readily available, its mathematical foundation is still under active development and even fundamental issues remain unproven today.
The main purpose of this thesis is to provide a consistent and rigorous setting for the TDKS equations and of the related optimal control problems.
In the first part of the thesis, the framework of density functional theory (DFT) and TDDFT are introduced. This includes a detailed presentation of the different functional sets forming DFT. Furthermore, the known equivalence of the TDKS system to the original SE problem is further discussed.
To implement the TDDFT framework for multi-particle computations, the TDKS equations provide one of the most successful approaches nowadays. However, only few mathematical results concerning these equations are available and these results do not cover all issues that arise in the formulation of optimal control problems governed by the TDKS model.
It is the purpose of the second part of this thesis to address these issues such as higher regularity of TDKS solutions and the case of weaker requirements on external (control) potentials that are instrumental for the formulation of well-posed TDKS control problems. For this purpose, in this work, existence and uniqueness of TDKS solutions are investigated in the Galerkin framework and using energy estimates for the nonlinear TDKS equations.
In the third part of this thesis, optimal control problems governed by the TDKS model are formulated and investigated. For this purpose, relevant cost functionals that model the purpose of the control are discussed.
Henceforth, TDKS control problems result from the requirement of optimising the given cost functionals subject to the differential constraint given by the TDKS equations. The analysis of these problems is novel and represents one of the main contributions of the present thesis.
In particular, existence of minimizers is proved and their characterization by TDKS optimality systems is discussed in detail.
To this end, Fréchet differentiability of the TDKS model and of the cost functionals is addressed considering \(H^1\) cost of the control.
This part is concluded by deriving the reduced gradient in the \(L^2\) and \(H^1\) inner product.
While the \(L^2\) optimization is widespread in the literature, the choice of the \(H^1\) gradient is motivated in this work by theoretical consideration and by resulting numerical advantages.
The last part of the thesis is devoted to the numerical approximation of the TDKS optimality systems and to their solution by gradient-based optimization techniques.
For the former purpose, Strang time-splitting pseudo-spectral schemes are discussed including a review of some recent theoretical estimates for these schemes and a numerical validation of these estimates.
For the latter purpose, nonlinear (projected) conjugate gradient methods are implemented and are used to validate the theoretical analysis of this thesis with results of numerical experiments with different cost functional settings.
Recent advances in the field of cancer immunotherapy have enabled this therapeutic approach to enter the mainstream of modern cancer treatment. In particular, adoptive T cell therapy (ACT) is a potentially powerful immunotherapy approach that relies on the administration of tumor-specific T cells into the patient. There are several strategies to obtain tumor-reactive cytotoxic T lymphocytes (CTLs), which have already been shown to induce remarkable responses in the clinical setting. However, there are concerns and limitations regarding the conventional approaches to obtain tumor-reactive T cells, such as accuracy of the procedure and reproducibility. Therefore, we aimed to develop two approaches to improve the precision and efficacy of tumor-reactive T cells therapy. These two techniques could constitute effective, safe and broadly applicable alternatives to the conventional methods for obtaining tumor-specific CTLs.
The first approach of this study is the so called “Doublet Technology”. Here, we demonstrate that peptide-human leukocyte antigen-T cell receptor (pHLA-TCR) interactions that involve immune reactive peptides are stable and strong. Therefore, the CTLs that are bound by their TCR to tumor cells can be selected and isolated through FACS-based cell sorting taking advantage of this stable interaction between the CTLs and the target cells. The CTLs from acute myeloid leukemia (AML) patients obtained with this technique show cytolytic activity against blast cells suggesting a potential clinical use of these CTLs. “Doublet Technology” offers a personalized therapy in which there is no need for a priori knowledge of the exact tumor antigen.
The second approach of this study is the Chimeric Antigen Receptor (CAR) Technology. We design several CARs targeting the B-Cell Maturation Antigen (BCMA). BCMA CAR T cells show antigen-specific cytolytic activity, production of cytokines including IFN-γ and IL-2, as well as productive proliferation. Although we confirm the presence of soluble BCMA in serum of multiple myeloma (MM) patients, we demonstrate that the presence of soluble protein does not abrogate the efficacy of BCMA CAR T cells suggesting that BCMA CAR T cells can be used in the clinical setting to treat MM patients. The high antigen specificity of CAR T cells allows efficient tumor cell eradication and makes CAR Technology attractive for broadly applicable therapies.
Banks perform important functions for the economy. Besides financial intermediation, banks provide information, liquidity, maturity- and risk-transformation (Fama, 1985). Banks ensure the transfer of liquidity from depositors to the most profitable investment projects. In addition, they perform important screening and monitoring services over investments hence contributing steadily to the efficient allocation of resources across the economy (Pathan and Faff, 2013). Since banks provide financial services all across the economy, this exposes banks (as opposed to non-banks) to systemic risk: the recent financial crisis revealed that banks can push economies into severe recessions. However, the crisis also revealed that certain bank types appear far more stable than others. For instance, cooperative banks performed better during the crisis than commercial banks. Different business models may reason these performance-differences: cooperative banks focus on relationship lending across their region, hence these banks suffered less from the collapse of the US housing market.
Since cooperative banks performed better during the crisis than commercial banks, it is quite surprising that research concerning cooperative banks is highly underrepresented in the literature. For this reason, the following three studies aim to contribute to current literature by examining three independent contemporaneous research questions in the context of cooperative banks.
Chapter 2 examines whether cooperative banks benefit from revenue diversification: Current banking literature reveals the recent trend in the overall banking industry that banks may opt for diversification by shifting their revenues to non-interest income. However, existing literature also shows that not every bank benefits from revenue diversification (Mercieca et al., 2007; Stiroh and Rumble, 2006; Goddard et al., 2008). Stiroh and Rumble (2006) find that large commercial banks (US Financial Holding Companies) perceive decreasing performance by shifting revenues towards non-interest income. Revenues from cooperative banks differ from those of commercial banks: commercial banks trade securities and derivatives, sell investment certificates and other trading assets. Concerning the lending business, commercial banks focus on providing loans for medium-sized and large companies rather than for small (private) customers. Cooperative banks rely on commission income (fees) from monetary transactions and selling insurances as a source of non-interest income. They generate most of their interest income by providing loans to small and medium-sized companies as well as to private customers in the region. These differences in revenues raise the question whether findings from Stiroh and Rumble (2006) apply to cooperative banks. For this reason, Chapter 2 evaluates a sample of German cooperative banks over the period 2005 to 2010 and aims to investigate the following research question: which cooperative banks benefit from revenue diversification?
Results show that findings from Stiroh and Rumble (2006) do not apply to cooperative banks. Revenue concentration is positive related to risk-adjusted returns (indirect effect) for cooperative banks. At the same time, non-interest income is more profitable than interest income (direct effect). The evaluation of the underlying non-interest income share shows that banks who heavily focus on non-interest income benefit by shifting towards non-interest income. This finding arises due to the fact, that the positive direct effect dominates the negative indirect effect, leading in a positive (and significant) net effect. Furthermore, results reveal a negative net effect for banks who are heavily exposed to interest generating activities. This indicates that shifting to non-interest income decreases risk-adjusted returns for these banks. Consequently, these banks do better by focusing on the interest business. Overall, results show evidence that banks need time to build capabilities, expertise and experience before trading off return and risk efficiently with regard on revenue diversification.
Chapter 3 deals with the relation between credit risk, liquidity risk, capital risk and bank efficiency: There has been rising competition in the European banking market due to technological development, deregulation and the introduction of the Euro as a common currency in recent decades. In order to remain competitive banks were forced to improve efficiency. That is, banks try to operate closer to a “best practice” production function in the sense that banks improve the input – output relation. The key question in this context is if banks improve efficiency at a cost of higher risk to compensate decreasing earnings. When it comes to bank risk, a large strand of literature discusses the issue of problem loans. Several studies identify that banks hold large shares of non-performing loans in their portfolio before becoming bankrupt (Barr and Siems, 1994; Demirgüc-Kunt, 1989). According to efficiency, studies show that the average bank generates low profits and incorporates high costs compared to the “best practice” production frontier (Fiordelisi et al., 2011; Williams, 2004). At first glance, these two issues do not seem related. However, Berger and DeYoung (1997) show that banks with poor management are less able to handle their costs (low cost-efficiency) as well as to monitor their debtors in an appropriate manner to ensure loan quality. The negative relationship between cost efficiency and non-performing loans leads to declining capital. Existing studies (e.g. Williams, 2004; Berger and DeYoung, 1997) show that banks with a low level of capital tend to engage in moral hazard behavior, which in turn can push these banks into bankruptcy.
However, the business model of cooperative banks is based on the interests of its commonly local customers (the cooperative act: § 1 GenG). This may imply that the common perception of banks engaging in moral hazard behavior may not apply to cooperative banks. Since short-term shareholder interests (as a potential factor for moral hazard behavior) play no role for cooperative banks this may support this notion. Furthermore, liquidity has been widely neglected in the existing literature, since the common perception has been that access to additional liquid funds is not an issue. However, the recent financial crisis revealed that liquidity dried up for many banks due to increased mistrust in the banking sector. Besides investigating moral hazard behavior, using data from 2005 to 2010 this study moves beyond current literature by employing a measure for liquidity risk in order to evaluate how liquidity risk relates to efficiency and capital.
Results mostly apply to current literature in this field since the empirical evaluation reveals that lower cost and profit-efficiency Granger-cause increases in credit risk. At the same time, results indicate that credit risk negatively Granger-causes cost and profit-efficiency, hence revealing a bi-directional relationship between these measures. However, most importantly, results also show a positive relationship between capital and credit risk, thus displaying that moral hazard behavior does not apply to cooperative banks. Especially the business model of cooperative banks, which is based on the interests of its commonly local customers (the cooperative act: § 1 GenG) may reason this finding. Contrary to Fiordelisi et al. (2011), results also show a negative relationship between capital and cost-efficiency, indicating that struggling cooperative banks focus on managing their cost-exposure in following periods. Concerning the employed liquidity risk measure, the authors find that banks who hold a high level of liquidity are less active in market related investments and hold high shares of equity capital. This outcome clearly reflects risk-preferences from the management of a bank.
Chapter 4 examines governance structures of cooperative banks: The financial crisis of 2007/08 led to huge distortions in the banking market. The failure of Lehman Brothers was the beginning of government interventions in various countries all over the world in order to prevent domestic economies from even further disruptions. In the aftermath of the crisis, politicians and regulators identified governance deficiencies as one major factor that contributed to the crisis. Besides existing studies in the banking literature (e.g. Beltratti and Stulz, 2012; Diamond and Rajan, 2009; Erkens et al., 2012) an OECD study from 2009 supports this notion (Kirkpatrick, 2009). Public debates increased awareness for the need of appropriate governance mechanisms at that time. Consequently, politicians and regulators called for more financial expertise on bank boards. Accordingly, the Basel Committee on Banking Supervision states in principle 2 that “board members should remain qualified, individually and collectively, for their positions. They should understand their oversight and corporate governance role and be able to exercise sound, objective judgement about the affairs of the bank.” (BCBS, 2015). Taking these perceptions into consideration the prevailing question is whether financial experts on bank boards do really foster bank stability?
This chapter aims to investigate this question by referring to the study from Minton et al. (2014). In their study, the authors investigate US commercial bank holding companies between the period 2003 and 2008. The authors find that financial experts on the board of US commercial bank holding companies promote pro-cyclical bank performance. Accordingly, the authors question regulators view of more financial experts on the board leading to more banking stability.
However, Minton et al. (2014) do not examine whether their findings accrue due to financial experts who act in the interests of shareholders or due to the issue that financial experts may have a more risk-taking attitude (due to a better understanding of financial instruments) than other board members.
Supposed that their findings accrue due to financial experts who act in the interests of shareholders. Then financial experts on the board of banks where short-term shareholder interests play no role (cooperative banks) may prove beneficial with regard on bank performance during the crisis as well as in normal times. This would mean that they use their skills and expertise to contribute sustainable growth to the bank. Contrary, if this study reveals pro-cyclical bank performance related to financial experts on the board of cooperative banks, this finding may be addressed solely to the risk-taking attitude of financial experts (since short-term shareholder interests play no role). For this reason, this chapter aims to identify the channel for the relation of financial experts and bank performance by examining the following research question: Do financial experts on the board promote pro-cyclical bank performance in a setting where short-term shareholder interests play no role?
Results show that financial experts on the board of cooperative banks (data from 2006 to 2011) do not promote pro-cyclical bank performance. Contrary, results show evidence that financial experts on the board of cooperative banks appear to foster long-term bank stability. This suggests that regulators should consider ownership structure (and hence business model of banks) when imposing new regulatory constraints for financial experts on the bank board.
RNA-binding proteins (RBPs) have been extensively studied in eukaryotes, where they post-transcriptionally regulate many cellular events including RNA transport, translation, and stability. Experimental techniques, such as cross-linking and co-purification followed by either mass spectrometry or RNA sequencing has enabled the identification and characterization of RBPs, their conserved RNA-binding domains (RBDs), and the regulatory roles of these proteins on a genome-wide scale. These developments in quantitative, high-resolution, and high-throughput screening techniques have greatly expanded our understanding of RBPs in human and yeast cells. In contrast, our knowledge of number and potential diversity of RBPs in bacteria is comparatively poor, in part due to the technical challenges associated with existing global screening approaches developed in eukaryotes.
Genome- and proteome-wide screening approaches performed in silico may circumvent these technical issues to obtain a broad picture of the RNA interactome of bacteria and identify strong RBP candidates for more detailed experimental study. Here, I report APRICOT (“Analyzing Protein RNA Interaction by Combined Output Technique”), a computational pipeline for the sequence-based identification and characterization of candidate RNA-binding proteins encoded in the genomes of all domains of life using RBDs known from experimental studies. The pipeline identifies functional motifs in protein sequences of an input proteome using position-specific scoring matrices and hidden Markov models of all conserved domains available in the databases and then statistically score them based on a series of sequence-based features. Subsequently, APRICOT identifies putative RBPs and characterizes them according to functionally relevant structural properties. APRICOT performed better than other existing tools for the sequence-based prediction on the known RBP data sets. The applications and adaptability of the software was demonstrated on several large bacterial RBP data sets including the complete proteome of Salmonella Typhimurium strain SL1344. APRICOT reported 1068 Salmonella proteins as RBP candidates, which were subsequently categorized using the RBDs that have been reported in both eukaryotic and bacterial proteins. A set of 131 strong RBP candidates was selected for experimental confirmation and characterization of RNA-binding activity using RNA co-immunoprecipitation followed by high-throughput sequencing (RIP-Seq) experiments. Based on the relative abundance of transcripts across the RIP-Seq libraries, a catalogue of enriched genes was established for each candidate, which shows the RNA-binding potential of 90% of these proteins. Furthermore, the direct targets of few of these putative RBPs were validated by means of cross-linking and co-immunoprecipitation (CLIP) experiments.
This thesis presents the computational pipeline APRICOT for the global screening of protein primary sequences for potential RBPs in bacteria using RBD information from all kingdoms of life. Furthermore, it provides the first bio-computational resource of putative RBPs in Salmonella, which could now be further studied for their biological and regulatory roles. The command line tool and its documentation are available at https://malvikasharan.github.io/APRICOT/.
Spliceosomal U-rich small ribonucleoprotein particles (U snRNPs) are the major building
blocks of the nuclear pre-mRNA splicing machinery. The core composition of U snRNPs
includes the name giving U snRNA and a set of seven common (Sm) proteins termed Sm
B/B’, D1, D2, D3, E, F and G. These Sm proteins are arranged in the form of a toroidal ring on
the single stranded conserved sequence element in the snRNA to form the Sm core domain.
Even though U snRNPs assemble spontaneously in vitro, their assembly in vivo requires an
amazingly large number of trans-acting assembly factors united in the Protein Arginine
Methyltransferase 5 (PRMT5) and the Survival Motor Neuron (SMN) complexes. The
cytoplasmic assembly pathway of U snRNPs can be divided into the early and the late phase.
The early phase is dominated by the assembly chaperone, pICln, a subunit of the PRMT5
complex. This factor binds to Sm proteins and delivers them in a pICln-bound form to the
PRMT5 complex. The early assembly phase then segregates into two lines. In one assembly
line, a stable hexameric ring intermediate (6S complex) composed of pICln and the five Sm
proteins D1, D2, F, E and G, is formed. This intermediate forms at the PRMT5 complex but
dissociates from the latter upon completion of its assembly. Within the 6S complex, these Sm
proteins are pre-organized into respective spatial positions adopted in the assembled U
snRNP. The other assembly line forms a protein trimer composed of pICln, Sm B/B’ and D3,
which unlike the 6S complex is not released from the PRMT5 complex. As a consequence of
their association with pICln, Sm proteins are kinetically trapped and fail to proceed in the
assembly pathway. The late phase of the U snRNP formation is dominated by the SMN
complex, which resolves this kinetic trap by dissociating pICln from the pre-organized Sm
proteins and, subsequently catalyzes the loading of the Sm proteins on the U snRNA.
Even though basic principles of U snRNP assembly have been understood in some detail, the
question arises as to why cells employ sophisticated assembly machinery for the assembly
despite the reaction occurring spontaneously in vitro. A few studies have shown that the
system works towards rendering specificity to the assembly reaction. However, Sm proteins
in their free form expose hydrophobic surfaces to the cytosolic solvent. Hence, I reasoned that
the assembly machinery of snRNPs might also prevent Sm protein aggregation.
In this thesis, I describe the work that leads to the discovery of a multi-layered regulatory
network for Sm proteins involving post-transcriptional and post-translational surveillance
mechanisms. Here, I show that the reduced level of SMN (a key assembly factor of the late
phase) leads to the initial tailback of Sm proteins over pICln followed by the transcriptional
down regulation of Sm protein encoding mRNAs. In contrast, depletion of pICln, a key factor
of the early phase, results in the retention of Sm proteins on the ribosomes followed by their
degradation via autophagy. Furthermore, I show that exceeding levels of Sm proteins over
pICln caused by overexpression results in aggregation and mis-localization of Sm proteins.
Thus, my findings uncover a complex regulatory network that helps to maintain the cellular
U snRNP homeostasis by either preventing or clearing the unassembled Sm protein
aggregates when they are not faithfully incorporated into the U snRNPs.
A promising new approach for the treatment of human cancer is the use of oncolytic viruses, which exhibit tumor tropism. One of the top candidates in this area is the oncolytic vaccinia virus (VACV), which has already shown promising results in animal studies and in clinical trials. However, due to discrepancies in both innate and adaptive immunity between mice and men the evaluation of the vaccinia virus’ interactions with the host immune system in mice are not fully conclusive of what is actually happening in human cancer patients after systemic administration of vaccinia virus. Also, ethical and legal concerns as well as risk of potential toxicity limit research involving human patients. Therefore, a good in vivo model for testing interactions between vaccinia virus and human immune cells, avoiding the numerous limitations and risks associated with human studies, could be a humanized mouse model.
LIVP-1.1.1, GLV-2b372, GLV-1h68, GLV-1h375, GLV-1h376 and GLV-1h377 VACVs were provided by Genelux Corporation. GLV-2b372 was constructed by inserting TurboFP635 expression cassette into the J2R locus of the parental LIVP-1.1.1. GLV-1h375, -1h376 and -1h377 VACVs encode the human CTLA4-blocking single-chain antibody (CTLA4 scAb). Performed replication and cytotoxicity assays demonstrated that all six viruses were able to infect, replicate in and kill human tumor cells in virus-dose- and time-dependent fashion. CTLA4 scAb and β-glucuronidase (GusA) expression as well as viral titers in GLV-1h376-infected cells were analyzed by ELISA, β-glucuronidase assay and standard plaque assay, respectively, and compared. An excellent correlation with correlation coefficients R2>0.9806 were observed. GLV-1h376-encoded CTLA4 scAb was successfully purified from supernatants of infected CV-1 cells and demonstrated in vitro affinity to its human CTLA4 target and lack of cross-reactivity to mouse CTLA4. CTLA4 scAb functionality was confirmed in Jurkat cells. LIVP-1.1.1, GLV-2b372, GLV-1h68 and GLV-1h376 were next studied in non-tumorous and/or tumor-bearing humanized mice.
It was demonstrated that injection of human CD34+ stem cells into the liver of preconditioned newborn NSG mice let to a successful systemic reconstitution with human immune cells. CD19+ B cells, CD4 and CD8 single positive CD3+ T cell, NKp46+CD56- and NKp46+CD56+ NK cells as well as CD33+ myeloid cells developed. At early time points after engraftment, majority of the human hematopoietic cells detected in the mouse blood were CD19+ B cells and only a small portion were CD3+ T cells. With time a significant change in CD19+/CD3+ ratio was reported with a decrease of B cells and an increase of T cells. Implantation of A549 cells under the skin of those humanized NSG mice resulted in a progressive tumor growth, described for the first time in this thesis. Successful colonization of subcutaneous A549 tumors with VACVs was visualized and demonstrated by detection of virus-mediated TurboFP635 and GFP expression as well as by standard plaque assay and immunohistochemistry. The human CD45+ cell population in tumors was represented mainly by NKp46+CD56bright NK cells and a large portion of activated CD4+ and cytotoxic CD8+ T cells. However, no significant differences were observed between control and LIVP-1.1.1-infected tumors, suggesting that the recruitment of NK and activated T cells were more tumor tissue specific than virus-dependent. Unfortunately, virus-mediated CTLA4 scAb expression in the GLV-1h376-infected tumors was also not able to significantly increase activation of T cells compared to control and GLV-1h68-treated mice. Importantly, ELISA, β-glucuronidase and standard plaque assays showed an excellent correlation with correlation coefficients R2>0.9454 between CTLA4 scAb, GusA concentrations and viral titers in tumor samples from those GLV-1h376 treated mice.
T cells isolated from the spleens of such control or GLV-1h68- or -1h376-treated A549 tumor-bearing mice were functional and could successfully be activated with human T cells activation beads. However, although no significant difference was observed between the three mouse groups, a slightly higher percentage of the GLV-1h376-treated mice-derived T cells were expressing CD25 and producing IFN-ɣ after ex vivo activation, probably due to the CTLA4 blockade by the virus-encoded CTLA4 scAb in the GLV-1h376-treated mice. Also, slightly higher levels of IL-2 were detected in the culture supernatant of those splenocytes compared to control samples. In contrast, T cells from all three mouse groups were not able be activated by A549 tumor cells ex vivo.
Our model has the specific advantage that tumors develop under the skin of the humanized mice, which allows accurate monitoring of the tumor growth and evaluation of the oncolytic virotherapy. Therefore it is important to choose the right approaches for its further improvement.
This thesis aimed at the coherent investigation of the electrical and thermal transport properties of the low-dimensional organic conductor (DCNQI)2M (DCNQI: dicyanoquinonediimine; M: metallic counterion). These radical anion salts present a promising, new material class for thermoelectric applications and hence, a consistent characterization of the key parameters is required to evaluate and to optimize their performance. For this purpose, a novel experimental measurement setup enabling the determination of the electrical conductivity, the Seebeck coefficient and the thermal conductivity on a single crystalline specimen has been designed and implemented in this work. The novel measurement setup brought to operation within this thesis enabled a thorough investigation of the thermal transport properties in the (DCNQI)2M system. The thermal conductivity of (DCNQI-h8)2Cu at RT was determined to κ=1.73 W m^(-1) K^(-1). By reducing of the copper content in isostructural, crystalline (DMe-DCNQI)2CuxLi1-x alloys, the electrical conductivity has been lowered by one order of magnitude and the correlated changes in the thermal conductivity allowed for a verification of the Wiedemann-Franz (WF) law at RT. A room temperature Lorenz number of L=(2.48±0.45)⋅〖10〗^(-8) WΩK^(-2) was obtained in agreement with the standard Lorenz number L_0=2,44⋅〖10〗^(-8) WΩK^(-2) for 3D bulk metals. This value appears to be significantly reduced upon cooling below RT, even far above the Debye temperature of θ_D≈82 K, below which a breakdown of the WF law is caused by different relaxation times in response to thermal and to electric field perturbations. The experimental data enabled the first consistent evaluation of the thermoelectric performance of (DCNQI)$_2$Cu. The RT power factor of 110 μWm^(-1) K^(-2) is comparable to values obtained on PEDOT-based thermoelectric polymers. The RT figure of merit amounts to zT=0.02 which falls short by a factor of ten compared to the best values of zT=0.42 claimed for conducting polymers. It originates from the larger thermal conductivity in the organic crystals of about 1.73 W m^(-1) K^(-1) in (DCNQI)2Cu. Yet, more elaborate studies on the anisotropy of the thermal conductivity in PEDOT polymers assume their figure of merit to be zT=0.15 at most, recently. Therefore, (DCNQI)2Cu can be regarded as thermoelectric material of similar performance to polymer-based ones. Moreover, it represents one of the best organic n-type thermoelectric materials to date and as such, may also become important in hybrid thermoelectrics in combination with conducting polymers. Upon cooling below room temperature, (DCNQI)2Cu reveals its full potential attaining power factors of 50 mW K^(-2) m^(-1) and exceeding values of zT>0.15 below 40 K. These values represent the best thermoelectric performance in this low-temperature regime for organic as well as inorganic compounds and thus, low-dimensional organic conductors might pave the way toward new applications in cryogenic thermoelectrics. Further improvements may be expected from optimizing the charge carrier concentration by taking control over the CT process via the counterion stack of the crystal lattice. The concept has also been demonstrated in this work. Moreover, the thermoelectric performance in the vicinity of the CDW transition in (MeBr-DCNQI)2Cu was found to be increased by a factor of 5. Accordingly, the diversity of electronic ground states accessible in organic conductors provides scope for further improvements. Finally, the prototype of an all-organic thermoelectric generator has been built in combination with the p-type organic metal TTT2I3. While it only converts about 0.02% of the provided heat into electrical energy, the specific power output per active area attains values of up to 5 mW cm^(-2). This power output, defining the cost-limiting factor in the recovery of waste heat, is three orders of magnitude larger than in conducting polymer devices and as such, unrivaled in organic thermoelectrics. While the thermoelectric key parameters of (DCNQI)2Cu still lack behind conventional thermoelectrics made of e.g. Bi2Te3, the promising performance together with its potential for improvements make this novel material class an interesting candidate for further exploration. Particularly, the low-cost and energy-efficient synthesis routes of organic materials highlight their relevance for technological applications.
In daily life, olfactory stimuli are potential generators of affective states, but also have a strong influence on social interaction. Pleasant odors have been shown to increase perceived attractiveness and pro-social behavior, whereas unpleasant body odors are often associated with negative personality traits. Since both pleasant odors and positive affective state facilitate pro-social behavior, it is conceivable that the influence of the odors on social interaction is mediated by the induced affective state elicited by the odor itself. The present thesis aims at exploring the impact of hedonic, i.e., pleasant or unpleasant, odors on the processing and evaluation of social stimuli as assessed by verbal, physiological, and behavioral indices. First, I investigate the effects of initially neutral odors which gained threatening value through an aversive conditioning procedure on social stimuli (Study 1). Second, I study the influence of naturally hedonic odors on social interaction. Third, this thesis aims at disentangling differences in the effects of an odor attributed to either a social interaction partner or the environment where the social encounter takes place (Study 2, 3, and 4).
In the first study, a context conditioning procedure was applied, during which one out of two long-lasting neutral odors was paired with an unpredictable aversive unconditioned stimulus (US, i.e., white noise). This odor (CTX+) thereby gained threatening value, while another odor (CTX-) remained unpaired and therefore signaled safety. During a test session, facial stimuli were presented within both conditioned olfactory contexts. Results indicate that autonomic arousal was increased to faces when presented in the threatening odor context. Additionally, participants rated facial stimuli as more aversive when presented in the threatening odor as compared to the safety odor, indicating that faces acquire hedonic value from the odor they were presented in. Strikingly, angry facial expressions received additional processing resources when presented within a threatening olfactory context, as reflected on verbal reports and electrodermal activity (EDA). This latter finding suggests that threat-related stimuli, here angry faces, are preferentially processed within an olfactory context where a threat might happen.
Considering that the hedonic value of an odor may be quite subjective, I conducted a pilot study in order to identify odors with pleasant vs. unpleasant properties for most participants. Seven odors (four pleasant and three unpleasant) were rated with respect to their valence (pleasant vs. unpleasant), arousal (arousing vs. calm), and intensity. Additionally, EDA was measured. Two pleasant (Citral and Eucalyptol) and two unpleasant (“Animalis” and Isobutyraldehyde) odors were chosen from the original seven. The unpleasant odors were rated as more negative, arousing, and intense than the positive ones, but no differences were found regarding EDA.
These four odors were subsequently used in a virtual reality (VR) paradigm with two odor attribution groups. Participants of the social attribution group (n = 59) were always passively guided into the same room (an office) towards one out of two virtual agents who were either paired with the pleasant or the unpleasant odor. Participants of the contextual attribution group (n = 58) were guided into one out of two rooms which were either paired with the pleasant or the unpleasant odor and where they always met the same agent. For both groups, the agents smiled, frowned or remained with a neutral facial expression. This design allowed evaluating the influence of odor valence as a within-subjects factor and the influence of odor attribution as a between-subjects factor. Unpleasant odors facilitated the processing of social cues as reflected by increased verbal and physiological arousal as well as reduced active approach behavior. Specific influence of odor valence on emotional facial expressions was found for ratings, EDA, and facial mimicry, with the unpleasant odor causing a levelling effect on the differences between facial expressions. The social attribution group exhibited larger differences between odors than the contextual group with respect to some variables (i.e., ratings and EDA), but not to others (i.e., electrocortical potentials – ERPs – and approach behavior). In sum, unpleasant in comparison to pleasant odors diminished emotional responses during social interaction, while an additional enhancing effect of the social attribution was observed on some variables. Interestingly, the awareness that an interaction partner would smell (pleasantly or unpleasantly) boosted the emotional reactivity towards them.
In Study 3, I adapted the VR paradigm to a within-subjects design, meaning that the different attribution conditions were now manipulated block-wise. Instead of an approach task, participants had to move away from the virtual agent (withdrawal task). Results on the ratings were replicated from Study 2. Specifically, the difference between pleasant and unpleasant odors on valence, arousal, and sympathy ratings was larger in the social as compared to the contextual attribution condition. No effects of odor or attribution were found on EDA, whereas heart rate (HR) showed a stronger acceleration to pleasant odors while participants were passively guided towards the agent. Instead of an approach task, I focused on withdrawal behavior in this study. Interestingly, independently of the attribution condition, participants spent more time withdrawing from virtual agents, when an unpleasant odor was presented. In sum, I demonstrated that the attribution of the odors to the social agent itself had an enhancing effect on their influence on social interaction.
In the fourth and last study, I applied a similar within-subjects protocol as in Study 3 with an additional Ultimatum Game task as a measure of social interaction. Overall findings replicated the results of Study 3 with respect to HR and EDA. Strikingly, participants offered less money to virtual agents in the bad smelling room than in the good smelling room. In contrast to Study 3, no effects of odor attribution were found in Study 4. In sum, again I demonstrated that unpleasant odor may lessen social interaction not only when the interaction partner smells badly, but also in more complex interaction situations.
In conclusion, I demonstrated that hedonic odors in general influence social interaction. Thus, pleasant odors seem to facilitate, while unpleasant odors seem to reduce interpersonal exchanges. Therefore, the present thesis extends the body of literature on the influence of odors on the processing of social stimuli. Although I found a direct influence of odors on social preferences as well as on the physiological and behavioral responses to social stimuli, I did not disentangle impact of odor per se from the impact of the affective state. Interestingly, odor attribution might play an additional role as mediator of social interactions such as odor effects in social interactions might be boosted when the smell is attributed to an individual. However, the results in this regard were less straightforward, and therefore further investigations are needed. Future research should also take into account gender or other inter-individual differences like social anxiety.
The prediction and the experimental discovery of topological insulators has set the stage for a novel type of electronic devices. In contrast to conventional metals or semiconductors, this new class of materials exhibits peculiar transport properties at the sample surface, as conduction channels emerge at the topological boundaries of the system.
In specific materials with strong spin-orbit coupling, a particular form of a two-dimensional topological insulator, the quantum spin Hall state, can be observed.
Here, the respective one-dimensional edge channels are helical in nature, meaning that there is a locking of the spin orientation of an electron and its direction of motion.
Due to the symmetry of time-reversal, elastic backscattering off interspersed impurities is suppressed in such a helical system, and transport is approximately ballistic.
This allows in principle for the realization of novel energy-efficient devices, ``spintronic`` applications, or the formation of exotic bound states with non-Abelian statistics, which could be used for quantum computing.
The present work is concerned with the general transport properties of one-dimensional helical states. Beyond the topological protection mentioned above, inelastic backscattering can arise from various microscopic sources, of which the most prominent ones will be discussed in this Thesis. As it is characteristic for one-dimensional systems, the role of electron-electron interactions can be of major importance in this context.
First, we review well-established techniques of many-body physics in one dimension such as perturbative renormalization group analysis, (Abelian) bosonization, and Luttinger liquid theory. The latter allow us to treat electron interactions in an exact way.
Those methods then are employed to derive the corrections to the conductance in a helical transport channel, that arise from various types of perturbations.
Particularly, we focus on the interplay of Rashba spin-orbit coupling and electron interactions as a source of inelastic single-particle and two-particle backscattering. It is demonstrated, that microscopic details of the system, such as the existence of a momentum cutoff, that restricts the energy spectrum, or the presence of non-interacting leads attached to the system, can fundamentally alter the transport signature.
By comparison of the predicted corrections to the conductance to a transport experiment, one can gain insight about the microscopic processes and the structure of a quantum spin Hall sample.
Another important mechanism we analyze is backscattering induced by magnetic moments. Those findings provide an alternative interpretation of recent transport measurements in InAs/GaSb quantum wells.
Spin- and angle-resolved photoelectron spectroscopy is the prime method to investigate
spin polarized electronic states at solid state surfaces. In how far the spin polarization
of an emitted photoelectron reflects the intrinsic spin character of an electronic state is
the main question in the work at hand. It turns out that the measured spin polarization
is strongly influenced by experimental conditions, namely by the polarization of the
incoming radiation and the excitation energy. The photoemission process thus plays a
non-negligible role in a spin-sensitive measurement. This work is dedicated to unravel
the relation between the result of a spin-resolved measurement and the spin character
in the ground state and, therefore, to gain a deep understanding of the spin-dependent
photoemission process.
Materials that exhibit significant spin-splittings in their electronic structure,
owing to a strong spin-orbit coupling, serve as model systems for the investigations in
this work. Therefore, systems with large Rashba-type spin-splittings as BiTeI(0001)
and the surface alloys BiAg2/Ag(111) and PbAg2/Ag(111) are investigated. Likewise,
the surface electronic structure of the topological insulators Bi2Te2Se(0001) and
Bi2Te3(0001) are analyzed.
Light polarization dependent photoemission experiments serve as a probe of the
orbital composition of electronic states. The knowledge of the orbital structure helps
to disentangle the spin-orbital texture inherent to the different surface states, when
in addition the spin-polarization is probed. It turns out that the topological surface
state of Bi2Te2Se(0001) as well as the Rashba-type surface state of BiTeI(0001) exhibit
chiral spin-textures associated with the p-like in-plane orbitals. In particular, opposite
chiralities are coupled to either tangentially or radially aligned p-like orbitals,
respectively. The results presented here are thus evidence that a coupling between
spin- and orbital part of the wave function occurs under the influence of spin-orbit
coupling, independent of the materials topology.
Systematic photon energy dependent measurements of the out-of-plane spin polarization
of the topological surface state of Bi2Te3(0001) reveal a strong dependence and
even a reversal of the sign of the photoelectron spin polarization with photon energy.
Similarly, the measured spin component perpendicular to the wave vector of the surface
state of BiAg2/Ag(111) shows strong modulations and sign reversals when the photon energy is changed. In BiAg2/Ag(111) the variations in the photoelectron spin
polarization are accompanied by significant changes and even a complete suppression
of the photoemission intensity from the surface state, indicating that the variations of
the spin polarization are strongly related to the photoemission cross section.
This relation is finally analyzed in detail by employing a simple model, which is
based on an evaluation of the transition matrix elements that describe the presented
experiments. The model shows that the underlying cause for the observed photoelectron
spin reversals can be found in the coupling of the spin structure to the spatial part
of the initial state wave function, revealing the crucial role of spin-orbit interaction
in the initial state wave function. The model is supported by ab initio photoemission
calculations, which show strong agreement with the experimental results.
In the first part of his work, the causes for the sudden degradation of useable capacity of lithium-ion cells have been studied by means of complementary methods such as computed tomography, Post-Mortem studies and electrochemical analyses. The results obtained point unanimously to heterogeneous aging as a key-factor for the sudden degradation of cell capacity, which in turn is triggered by differences in local compression.
At high states of health, the capacity fade rate is moderate but some areas of the graphite electrode degrade faster than others. Still, the localized changes are hardly noticeable on cell level due to averaging effects. Lithium plating occurs first in unevenly compressed areas, creating patterns visible to the human eye. As lithium plating leads to rapid consumption of active lithium, a sudden drop in capacity is observed on cell level. Lithium plating appears to spread out from the initial areas over the whole graphite electrode, quickly consuming the remaining useful lithium and active graphite. It can be hypothesized that a self-amplifying circle of reciprocal acceleration of local lithium loss and material loss causes rapid local degradation.
Battery cell designers can improve cycle life by homogeneous pressure distribution in the cell and using negative active materials that are resilient to elevated discharge potentials such as improved carbons or lithium titanate. Also, a sufficiently oversized negative electrode and suitable electrolyte additives can help to avoid lithium plating. When packs are designed, care must be taken not to exert local pressure on parts of cells and to avoid both very high and low states of charge.
In the second part of this dissertation the resilience of cylindrical and pouchbag cells to shocks and different vibrations was investigated. Stresses inflicted by vibration and shock tests according to the widely recognized UN38.3 transport test were compared to a long-time test that exposed cells to a 186 days long ordeal of sine sweep vibrations with a profile based on real-world applications. All cells passed visual and electric inspection performed by TU München after the vibration tests. Only cylindrical cells subjected to long-term vibrations in axial direction showed an increase in impedance and a loss of capacity that could be recuperated in part.
The detailed analyses presented in this thesis gave more details on the damages inflicted by vibrations and shocks and revealed drastic damages in some cases. In cylindrical cells, only movement in axial direction caused damage. Long term vibrations were found to be especially detrimental.
No damage whatsoever could be detected for pouch cells, regardless of the test protocol and the direction of movement. The extreme resilience of pouchbag cells shows that the electrode stack of lithium-ion cells is resistant to vibrations, and that damages are caused by design imperfections that can be improved at low cost.
The findings of this work, and the general state of research show that it is most crucial to control the lithiation and thus potential of the graphite electrode.
In the last part of this work, a new, direct method for charge estimation based on changing transmission is presented. A correlation between transmission of short ultrasonic pulses and state of charge is found. This new technology allows direct measurement of the state of charge. The method is demonstrated for batteries with different positive active materials, showing its versatility. As the observed changes can be traced to the lithiation of graphite, it can be determined without a reference electrode. Already at this early stage of development, the found correlations allow estimation of state of charge. The present hysteresis in the signal height of the slow wave, which is unneglectable especially during discharging at higher currents, will be subject to further investigation.
The observed effects can be explained by effects on different length scales. Biot’s theory explains the second wave’s slowness based on the active material particles size in the range of 0.01 mm and electrolyte-filled pores. Lithiation of graphite changes the porosity of the electrode and thereby the velocity and wavelength of the impulse. When the wavelength approaches the length scale of the layers, 0.1 mm, scattering effects dampen the transmitted signal. Finally, the wavelength of the pulse should be shorter than the transducers diameter to obtain a homogeneous wave front.
To conclude, the new method allows the control of each individual cell in a pack independent from the electrical connections of the cells.
As the method shows great promise, further studies regarding factors such as long-term behavior, temperature and current rates should be conducted. In this thesis hysteresis was observed and a deeper understanding of the reasons behind it may allow further improvements of measurement precision.
Multiple sclerosis (MS) is the most prevalent neurological disease of the central nervous system (CNS) in young adults and is characterized by inflammation, demyelination and axonal pathology that result in multiple neurological and cognitive deficits. The focus of MS research remains on modulating the immune response, but common therapeutic strategies are only effective in slowing down disease progression and attenuating the symptoms; they cannot cure the disease. Developing an option to prevent neurodegeneration early on would be a valuable addition to the current standard of care for MS. Based on our results we suggest that application of nimodipine could be an effective way to target both neuroinflammation and neurodegeneration. We performed detailed analyses of neurodegeneration in experimental autoimmune encephalomyelitis (EAE), an animal model of MS, and in in vitro experiments regarding the effect of the clinically well-established L-type calcium channel antagonist nimodipine. Nimodipine treatment attenuated the course of EAE and spinal cord histopathology. Furthermore, it promoted remyelination. The latter could be due to the protective effect on oligodendrocytes and oligodendrocyte precursor cells (OPCs) we observed in response to nimodipine treatment. To our surprise, we detected calcium channel-independent effects on microglia, resulting in apoptosis. These effects were cell type-specific and independent of microglia polarization. Apoptosis was accompanied by decreased levels of nitric oxide (NO) and inducible NO synthase (iNOS) in cell culture as well as decreased iNOS expression and reactive oxygen species (ROS) activity in EAE. Overall, application of nimodipine seems to generate a favorable environment for regenerative processes and could therefore be a novel treatment option for MS, combining immunomodulatory effects while promoting neuroregeneration.
Host–microbe interactions are the key to understand why and how microbes inhabit specific environments. With the scientific fields of microbial genomics and metagenomics, evolving on an unprecedented scale, one is able to gain insights in these interactions on a molecular and ecological level. The goal of this PhD thesis was to make (meta–)genomic data accessible, integrate it in a comparative manner and to gain comprehensive taxonomic and functional insights into bacterial strains and communities derived from two different environments: the phyllosphere of Arabidopsis thaliana and the mesohyl interior of marine sponges.
This thesis focused first on the de novo assembly of bacterial genomes. A 5–step protocol was developed, each step including a quality control. The examination of different assembly software in a comparative way identified SPAdes as most suitable. The protocol enables the user to chose the best tailored assembly. Contamination issues were solved by an initial filtering of the data and methods normally used for the binning of metagenomic datasets. This step is missed in many published assembly pipelines. The described protocol offers assemblies of high quality ready for downstream analysis.
Subsequently, assemblies generated with the developed protocol were annotated and explored
in terms of their function. In a first study, the genome of a phyllosphere bacterium, Williamsia sp. ARP1, was analyzed, offering many adaptions to the leaf habitat: it can deal with temperature shifts, react to oxygen species, produces mycosporins as protection against UV–light, and is able to uptake photosynthates. Further, its taxonomic position within the Actinomycetales was infered from 16S rRNA and comparative genomics showing the close relation between the genera Williamsia and Gordonia.
In a second study, six sponge–derived actinomycete genomes were investigated for secondary metabolism. By use of state–of–the–art software, these strains exhibited numerous gene clusters, mostly linked to polykethide synthases, non–ribosomal peptide synthesis, terpenes, fatty acids and saccharides. Subsequent predictions on these clusters offered a great variety of possible produced compounds with antibiotic, antifungal or anti–cancer activity. These analysis highlight the potential for the synthesis of natural products and the use of genomic data as screening toolkit.
In a last study, three sponge–derived and one seawater metagenomes were functionally compared. Different signatures regarding the microbial composition and GC–distribution were observed between the two environments. With a focus on bacerial defense systems, the data indicates a pronounced repertoire of sponge associated bacteria for bacterial defense systems, in particular, Clustered Regularly Interspaced Short Palindromic Repeats, restriction modification system, DNA phosphorothioation and phage growth limitation. In addition, characterizing genes for secondary metabolite cluster differed between sponge and seawater microbiomes. Moreover, a variety of Type I polyketide synthases were only found within the sponge microbiomes. With that, metagenomics are shown to be a useful tool for the screening of secondary metabolite genes. Furthermore, enriched defense systems are highlighted as feature of sponge-associated microbes and marks them as a selective trait.
The present thesis demonstrates the importance of the solid state packing of dipolar merocyanine dyes with regard to charge transport and exciton coupling.
Due to the charge transport theory for disordered materials, it is expected that high ground state dipole moments in amorphous thin films lead to low mobility values due to a broadening of the density of states. However, due to their inherent dipolarity, merocyanine dyes usually align in antiparallel dimers in an ordered fashion. The examination of twenty different molecules with ground state dipole moments up to 15.0 D shows that by a high dipolarity and well-defined sterics, the molecules pack in a highly regular two-dimensional brickwork-type structure, which is beneficial for hole transport. Utilization of these molecules for organic thin-film transistors (OTFTs) leads to hole mobility values up to 0.21 cm²/Vs. By fabrication of single crystal field-effect transistors (SCFETs) for the derivative showing the highest mobility values in OTFTs, even hole mobilities up to 2.34 cm²/Vs are achieved. Hence, merocyanine based transistors show hole mobility values comparable to those of conventional p-type organic semiconductors and therefore high ground state dipole moments are not necessarily disadvantageous regarding high mobility applications.
By examination of a different series of ten merocyanine dyes with the same chromophore backbone but different donor substituents, it is demonstrated that the size of the donor has a significant influence on the optical properties of thin films. For small and rigid donor substituents, a hypsochromic shift of the absorption compared to the monomer absorption in solution is observed due to the card stack like packing of the molecules in the solid state. By utilization of sterical demanding or flexible donor substituents, a zig-zag type packing is observed, leading to a bathochromical shift of the absorption. These packing motifs and spectral shifts with an offset of 0.93 eV of the H- and J-bands comply with the archetype examples of H- and J-aggregates from Kasha’s exciton theory.
Plants are exposed to high temperature, especially during hot summer days. Temperatures are typically lowest in the morning and reach a maximum in the afternoon. Plants can tolerate and survive short-term heat stress even on hot summer days. A. thaliana seedlings have been reported to tolerate higher temperatures for different time periods, a phenomenon that has been termed basal thermotolerance. In addition, plants have the inherent capacity to acclimate to otherwise lethal temperatures. Arabidopsis thaliana seedlings acclimate at moderately elevated temperatures between 32–38° C. During heat acclimation, a genetically programmed heat shock response (HSR) is triggered that is characterized by a rapid activation of heat shock transcription factors (HSFs), which trigger a massive accumulation of heat shock proteins that are chiefly involved in protein folding and protection.
Although the HSF-triggered heat-shock response is well characterized, little is known about the metabolic adjustments during heat stress. The aim of this work was to get more insight into heat-responsive metabolism and its importance for thermotolerance.
In order to identify the response of metabolites to elevated temperatures, global metabolite profiles of heat-acclimated and control seedlings were compared. Untargeted metabolite analyses revealed that levels of polyunsaturated triacylglycerols (TG) rapidly increase during heat acclimation. TG accumulation was found to be temperature-dependent in a temperature range from 32–50° C (optimum at 42° C). Heat-induced TG accumulation was localized in extra-chloroplastic compartments by chloroplast isolation as well as by fluorescence microscopy of A. thaliana cell cultures.
Analysis of mutants deficient in all four HSFA1 master regulator genes or the HSFA2 gene revealed that TG accumulation occurred independently to HSF. Moreover, the TG response was not limited to heat stress since drought and salt stress (but not short-term osmotic, cold and high light stress) also triggered an accumulation of TGs.
In order to reveal the origin of TG synthesis, lipid analysis was carried out. Heat-induced accumulation of TGs does not derive from massive de novo fatty acid (FA) synthesis. On the other hand, lipidomic analyses of A. thaliana seedlings indicated that polyunsaturated FA from thylakoid galactolipids are incorporated into cytosolic TGs during heat stress. This was verified by lipidomic analyses of A. thaliana fad7/8 transgenic seedlings, which displayed altered FA compositions of plastidic lipids. In addition, wild type A. thaliana seedlings displayed a rapid conversion of plastidic monogalactosyldiacylglycerols (MGDGs) into oligogalactolipids, acylated MGDGs and diacylglycerols (DGs). For TG synthesis, DG requires a FA from the acyl CoA pool or phosphatidylcholine (PC). Seedlings deficient in phospholipid:diacylglycerol acyltransferase1 (PDAT1) were unable to accumulate TGs following heat stress; thus PC appears to be the major FA donor for TGs during heat treatment. These results suggest that TG and oligogalactolipid accumulation during heat stress is driven by post-translationally regulated plastid lipid metabolism.
TG accumulation following heat stress was found to increase basal thermotolerance. Pdat1 mutant seedlings were more sensitive to severe heat stress without prior acclimatization, as revealed by a more dramatic decline of the maximum efficiency of PSII and lower survival rate compared to wild type seedlings. In contrast, tgd1 mutants over-accumulating TGs and oligogalactolipids displayed a higher basal thermotolerance compared to wild type seedlings. These results therefore suggest that accumulation of TGs increases thermotolerance in addition to the genetically encoded heat shock response.
This dissertation contributes to deepen our understanding of constructs that play a key role in individuals’ vocational career construction. In this regard, many previous studies have focused exclusively on a specific phase of an individual’s career. Yet, modern societies
require continuous investments in one’s career to adapt to changing Environments throughout the life span. Consequently, this dissertation takes a broad approach to capture a wide spectrum of career construction processes.
According to Super’s (1990) developmental stage framework, individuals have to manage vocational developmental tasks corresponding to each of the developmental life stages in order to be career mature across the life span. As the two stages exploration and
maintenance set the stage for individuals’ future career pathways, they are especially important in individuals’ vocational career construction. Therefore, both of them are addressed in this dissertation.
By answering open research questions relevant to career choice in early career stages and to career development in later career stages, this dissertation contributes to the overarching goal of shedding more light on constructs relevant to individuals’ vocational career construction processes across the life span. Beyond the results presented within each study’s horizon, this dissertation aimed at offering practical guidance to career counselors,
trainees, and training and development (T&D) professionals. Career counselors and T&D professionals are involved in guiding vocational career construction processes of individuals across the life span. Thus, on the one hand, this dissertation supports career counselors’ work so that they can help deliberating individuals make optimal and effective career choices. On
the other hand, this dissertation facilitates T&D professionals’ work so that they can effectively design and evaluate e‐learning and classroom trainings in corporate educational settings. Identifying individuals’ vocational interests combined with cognitive abilities through adequate test measures and maximizing success of learning and success of transfer through fostering evidence‐based transfer support actions will help individuals adapt quickly to the changing nature of work environments in the 21st century and to continue to successfully construct careers across the life span.
Content Delivery Networks (CDNs) are networks that distribute content in the Internet. CDNs are increasingly responsible for the largest share of traffic in the Internet. CDNs distribute popular content to caches in many geographical areas to save bandwidth by avoiding unnecessary multihop retransmission. By bringing the content geographically closer to the user, CDNs also reduce the latency of the services.
Besides end users and content providers, which require high availability of high quality content, CDN providers and Internet Service Providers (ISPs) are interested in an efficient operation of CDNs. In order to ensure an efficient replication of the content, CDN providers have a network of (globally) distributed interconnected datacenters at different points of presence (PoPs). ISPs aim to provide reliable and high speed Internet access. They try to keep the load on the network low and to reduce cost for connectivity with other ISPs.
The increasing number of mobile devices such as smart phones and tablets, high definition video content and high resolution displays result in a continuous growth in mobile traffic. This growth in mobile traffic is further accelerated by newly emerging services, such as mobile live streaming and broadcasting services. The steep increase in mobile traffic is expected to reach by 2018 roughly 60% of total network traffic, the majority of which will be video. To handle the growth in mobile networks, the next generation of 5G mobile networks is designed to have higher access rates and an increased densification of the network infrastructure. With the explosion of access rates and number of base stations the backhaul of wireless networks will become congested.
To reduce the load on the backhaul, the research community suggests installing local caches in gateway routers between the wireless network and the Internet, in base stations of different sizes, and in end-user devices. The local deployment of caches allows keeping the traffic within the ISPs network. The caches are organized in a hierarchy, where caches in the lowest tier are requested first. The request is forwarded to the next tier, if the requested object is not found. Appropriate evaluation methods are required to optimally dimension the caches dependent on the traffic characteristics and the available resources. Additionally methods are necessary that allow performance evaluation of backhaul bandwidth aggregation systems, which further reduce the load on the backhaul.
This thesis analyses CDNs utilizing locally available resources and develops the following evaluations and optimization approaches: Characterization of CDNs and distribution of resources in the Internet, analysis and optimization of hierarchical caching systems with bandwidth constraints and performance evaluation of bandwidth aggregation systems.
Multimodal interfaces (MMIs) are a promising human-computer interaction paradigm.
They are feasible for a wide rang of environments, yet they are especially suited if interactions are spatially and temporally grounded with an environment in which the user is (physically) situated.
Real-time interactive systems (RISs) are technical realizations for situated interaction environments, originating from application areas like virtual reality, mixed reality, human-robot interaction, and computer games.
RISs include various dedicated processing-, simulation-, and rendering subsystems which collectively maintain a real-time simulation of a coherent application state.
They thus fulfil the complex functional requirements of their application areas. Two contradicting principles determine the architecture of RISs: coupling and cohesion.
On the one hand, RIS subsystems commonly use specific data structures for multiple purposes to guarantee performance and rely on close semantic and temporal coupling between each other to maintain consistency.
This coupling is exacerbated if the integration of artificial intelligence (AI) methods is necessary, such as for realizing MMIs.
On the other hand, software qualities like reusability and modifiability call for a decoupling of subsystems and architectural elements with single well-defined purposes, i.e., high cohesion.
Systems predominantly favour performance and consistency over reusability and modifiability to handle this contradiction.
They thus accept low maintainability in general and hindered scientific progress in the long-term.
This thesis presents six semantics-based techniques that extend the established entity-component system (ECS) pattern and pose a solution to this contradiction without sacrificing maintainability: semantic grounding, a semantic entity-component state, grounded actions, semantic queries, code from semantics, and decoupling by semantics.
The extension solves the ECS pattern's runtime type deficit, improves component granularity, facilitates access to entity properties outside a subsystem's component association, incorporates a concept to semantically describe behavior as complement to the state representation, and enables compatibility even between RISs.
The presented reference implementation Simulator X validates the feasibility of the six techniques and may be (re)used by other researchers due to its availability under an open-source licence.
It includes a repertoire of common multimodal input processing steps that showcase the particular adequacy of the six techniques for such processing.
The repertoire adds up to the integrated multimodal processing framework miPro, making Simulator X a RIS platform with explicit MMI support.
The six semantics-based techniques as well as the reference implementation are validated by four expert reviews, multiple proof of concept prototypes, and two explorative studies.
Informal insights gathered throughout the design and development supplement this assessment in the form of lessons learned meant to aid future development in the area.
The Micromegas technology is one of the most successful modern gaseous detector concepts and widely utilized in nuclear and particle physics experiments. Twenty years of R & D rendered the technology sufficiently mature to be selected as precision tracking detector for the New Small Wheel (NSW) upgrade of the ATLAS Muon spectrometer. This will be the first large scale application of Micromegas in one of the major LHC experiments. However, many of the fundamental microscopic processes in these gaseous detectors are still not fully understood and studies on several detector aspects, like the micromesh geometry, have never been addressed systematically.
The studies on signal formation in Micromegas, presented in the first part of this thesis, focuses on the microscopic signal electron loss mechanisms and the amplification processes in electron gas interaction. Based on a detailed model of detector parameter dependencies, these processes are scrutinized in an iterating comparison between exper- imental results, theory prediction of the macroscopic observables and process simulation on the microscopic level. Utilizing the specialized detectors developed in the scope of this thesis as well as refined simulation algorithms, an unprecedented level of accuracy in the description of the microscopic processes is reached, deepening the understanding of the fundamental process in gaseous detectors.
The second part is dedicated to the challenges arising with the large scale Micro- megas production for the ATLAS NSW. A selection of technological choices, partially influenced or determined by the herein presented studies, are discussed alongside a final report on two production related tasks addressing the detectors’ core components: For the industrial production of resistive anode PCBs a detailed quality control (QC) and quality assurance (QA) scheme as well as the therefore required testing tools have been developed. In parallel the study on micromesh parameter optimization and production feasibility resulted in the selection of the proposed mesh by the NSW community and its full scale industrial manufacturing. The successful completion of both tasks were im- portant milestones towards the construction of large size Micromegas detectors clearing the path for NSW series production.
In this work fluorescence-based single molecule detection at low concetration is investigated, with an emphasis on the usage of active transport and waveguides.
Active transport allows to overcome the limits of diffusion-based systems in terms of the lowest detectable threshold of concentration.
The effect of flow in single molecule experiments is investigated and a theoretical model is derived for laminar flow.
Waveguides on the other hand promise compact detection schemes and show great potential for their possible integration into lab-on-a-chip applications. Their properties in single molecule experiments are analyzed with help of a method based on the reciprocity theorem of electromagnetic theory.
The subject of this thesis is the control of strain in HgTe thin-film crystals. Such systems are members of the new class of topological insulator materials and therefore of special research interest. A major task was the experimental control of the strain in the HgTe films. This was achieved by a new epitaxial approach and confirmed by cristallographic analysis and magneto-transport measurements.
In this work, strain was induced in thin films by means of coherent epitaxy on substrate crystals. This means that the film adopts the lattice constant of the substrate in the plane of the substrate-epilayer interface. The level of strain is determined by the difference between the strain-free lattice constants of the substrate and epilayer material (the so-called lattice mismatch). The film responds to an in-plane strain with a change of its lattice constant perpendicular to the interface. This relationship is crucial for both the correct interpretation of high resolution X-ray diffraction (HRXRD) measurements, and the precise determination of the band dispersion. The lattice constant of HgTe is smaller than the lattice constant of CdTe. Therefore, strain in HgTe is tensile if it is grown on a CdTe substrate. In principle, compressive strain can be achieved by using an appropriate \(\text{Cd}_{1-x}\text{Zn}_{x}\text{Te}\) substrate. This concept was modified and applied in this work.
Epilayers have been fabricated by molecular-beam epitaxy (MBE). The growth of thick buffer layers of CdTe on GaAs:Si was established as an alternative to commercial CdTe and \(text{Cd}_{0.96}\text{Zn}_{0.04}\text{Te}\) substrates. The growth conditions have been optimized by an analysis of atomic force microscopy and HRXRD studies. HRXRD measurements reveal a power-law increase of the crystal quality with increasing thickness. Residual strain was found in the buffer layers, and was attributed to a combination of finite layer thickness and mismatch of the thermal expansion coefficients of CdTe and GaAs. In order to control the strain in HgTe epilayers, we have developed a new type of substrate with freely adjustable lattice constant.
CdTe-\(\text{Cd}_{0.5}\text{Zn}_{0.5}\text{Te}\) strained-layer-superlattices have been grown by a combination of MBE and atomic-layer epitaxy (ALE), and have been analyzed by HRXRD. ALE of the \(\text{Cd}_{0.5}\text{Zn}_{0.5}\text{Te}\) layer is self-limiting to one monolayer, and the effective lattice constant can be controlled reproducibly and straightforward by adjusting the CdTe layer thickness. The crystal quality has been found to degrade with increasing Zn-fraction. However, the effect is less drastic compared to single layer \(\text{Cd}_{1-x}\text{Zn}_{x}\text{Te}\) solid solutions. HgTe quantum wells (QWs) sandwiched in between CdHgTe barriers have been fabricated in a similar fashion on superlattices and conventional CdTe and \(\text{Cd}_{0.96}\text{Zn}_{0.04}\text{Te}\) substrates. The lower critical thickness of the CdHgTe barrier material grown on superlattice substrates had to be considered regarding the sample design. The electronic properties of the QWs depend on the strain and thickness of the QW. We have determined the QW thickness with an accuracy of \(\pm\)0.5 nm by an analysis of the beating patterns in the thickness fringes of HRXRD measurements and X-ray reflectometry measurements. We have, for the first time, induced compressive strain in HgTe QWs by an epitaxial technique (i.e. the effective lattice constant of the superlattice is lower compared to the lattice constant of HgTe). The problem of the lattice mismatch between superlattice and barriers has been circumvented by using CdHgTe-ZnHgTe superlattices instead of CdHgTe as a barrier material. Furthermore, the growth of compressively strained HgTe bulk layers (with a thickness of at least 50 nm) was demonstrated as well.
The control of the state of strain adds a new degree of freedom to the design of HgTe epilayers, which has a major influence on the band structure of QWs and bulk layers. Strain in bulk layers lifts the degeneracy of the \(\Gamma_8\) bands at \(\mathbf{k}=0\). Tensile strain opens an energy gap, compressive strain shifts the touching points of the valence- and conduction band to positions in the Brillouin zone with finite \(\mathbf{k}\). Such a situation has been realized for the first time in the course of this work. For QWs in the inverted regime, it is demonstrated that compressive strain can be used to significantly enhance the thermal energy gap of the two-dimensional electron gas (2DEG). In addition, semi-metallic and semiconducting behavior is expected in wide QWs, depending on the state of strain. An examination of the temperature dependence of the subband ordering in QWs revealed that the band gap is only temperature-stable for appropriate sample parameters and temperature regimes. The band inversion is always lifted for sufficiently high temperatures.
A large number of models investigate the influence of the band gap on the stability of the quantum-spin-Hall (QSH) effect. An enhancement of the stability of QSH edge state conductance is expected for enlarged band gaps. Furthermore, experimental studies on the temperature dependence of the QSH conductance are in contradiction to theoretical predictions. Systematic studies of these aspects have become feasible based on the new flexibility of the sample design.
Detailed low-temperature magnetotransport studies have been carried out on QWs and bulk layers. For this purpose, devices have been fabricated lithographically, which consist of two Hall-bar geometries with different dimensions. This allows to discriminate between conductance at the plane of the 2DEG and the edge of the sample. The Fermi energy in the 2DEG has been adjusted by means of a top gate electrode. The strain-induced transition from semi-metallic to semiconducting characteristics in wide QWs was shown. The magnitude of the semi-metallic overlap of valence- and conduction band was determined by an analysis of the two-carrier conductance and is in agreement with band structure calculations. The band gap of the semiconducting sample was determined by measurements of the temperature dependence of the conductance at the charge-neutrality point. Agreement with the value expected from theory has been achieved for the first time in this work. The influence of the band gap on the stability of QSH edge state conductance has been investigated on a set of six samples. The band gap of the set spans a range of 10 to 55 meV. The latter value has been achieved in a highly compressively strained QW, has been confirmed by temperature-dependent conductance measurements, and is the highest ever reported in the inverted regime. Studies of the carrier mobility reveal a degradation of the sample quality with increasing Zn-fraction in the superlattice, in agreement with HRXRD observations. The enhanced band gap does not suppress scattering mechanisms in QSH edge channels, but lowers the conductance in the plane of the 2DEG. Hence, edge state conductance is the dominant conducting process even at elevated temperatures. An increase in conductance with increasing temperature has been found, in agreement with reports from other groups. The increase follows a power-law dependency, the underlying physical mechanism remains open. A cause for the lack of an increase of the QSH edge state conductance with increasing energy gap has been discussed. Possibly, the sample remains insulating even at finite carrier densities, due to localization effects. The measurement does not probe the QSH edge state conductance at the situation where the Fermi energy is located in the center of the energy gap, but in the regime of maximized puddle-driven scattering. In a first set of measurements, it has been shown that the QSH edge state conductance can be influenced by hysteretic charging effects of trapped states in the insulating dielectric. A maximized conductance of \(1.6\ \text{e}^2/\text{h}\) was obtained in a \(58\ \mu\text{m}\) edge channel. Finally, measurements on three dimensional samples have been discussed. Recent theoretical works assign compressively strained HgTe bulk layers to the Weyl semi-metal class of materials. Such layers have been synthesized and studied in magnetotransport experiments for the first time. Pronounced quantum-Hall- and Shubnikov-de-Haas features in the Hall- and longitudinal resistance indicate two-dimensional conductance on the sample surface. However, this conductance cannot be assigned definitely to Weyl surface states, due to the inversion of \(\Gamma_6\) and \(\Gamma_8\) bands. If a magnetic field is aligned parallel to the current in the device, a decrease in the longitudinal resistance is observed with increasing magnetic field. This is a signature of the chiral anomaly, which is expected in Weyl semi-metals.
The basement membrane separates the epithelium from the stroma of any given barrier tissue and is essential in regulating cellular behavior, as mechanical barrier and as structural support. It further plays an important role for new tissue formation, homeostasis, and pathological processes, such as diabetes or cancer. Breakdown of the basement membrane is believed to be essential for tumor invasion and metastasization. Since the basement membrane is crucial for many body functions, the development of artificial basement membranes is indispensable for the ultimate formation of engineered functional tissue, however, challenging due to their complex structure.
Electrospinning enables the production of fibers in the nano- or microscale range with morphological similarities to the randomly orientated collagen and elastic fibers in the basement membrane. However, electrospun fibers often lack the functional similarity to guide cells and maintain tissue-specific functions. Hence, their possible applications as matrix structure for tissue engineering are limited.
Herein, the potential of polyester meshes, modified with six armed star-shaped pre-polymers and cell-adhesion-mediating peptides, was evaluated to act as functional isotropic and bipolar artificial basement membranes. Thereby, the meshes were shown to be biocompatible and stable including under dynamic conditions, and the degradation profile to correlate with the rate of new tissue formation. The different peptide sequences did not influence the morphology and integrity of the fibers. The modified membranes exhibited protein-repellent properties over 12 months, indicating the long-term stability of the cross-linked star-polymer surfaces.
Cell culture experiments with primary fibroblasts and a human keratinocyte cell line (HaCaT) revealed that cell adhesion and growth strongly depends on the peptide sequences and their combinations employed. HaCaT cells grew to confluence on membranes modified with a combination of laminin/collagen type IV derived binding sequences and with a combination of fibronectin/laminin/collagen type IV derived peptide sequences. Fibroblasts strongly adhered to the fibronectin derived binding sequence and to membranes containing a combination of fibronectin/laminin/collagen type IV derived peptide sequences. The adhesion and growth of fibroblasts and HaCaT cells were significantly reduced on membranes modified with laminin, as well as collagen IV derived peptide sequences. HaCaT cells and fibroblasts barely adhered onto meshes without peptide sequences.
Co-culture experiments at the air-liquid interface with fibroblasts and HaCaT cells confirmed the possibility of creating biocompatible, biofunctional and biomimetic isotropic and bipolar basement membranes, based on the functionalized fibers. HaCaT cells grew in several layers, differentiating towards the surface and expressing cytokeratin 10 in the suprabasal and cytokeratin 14 in the basal layers. Migration of fibroblasts into the electrospun membrane was shown by vimentin staining. Moreover, specific staining against laminin type V, collagen type I, III, IV and fibronectin illustrated that cells started to remodel the electrospun membrane and produced new extracellular matrix proteins following the adhesion to the synthetic surface structures.
The culturing of primary human skin keratinocytes proved to be difficult on electrospun fibers. Cells attached to the membrane, but failed to form a multilayered, well-stratified, and keratinized epidermal layer. Changing the fiber composition and fixation methods did not promote tissue development. Further investigations of the membrane demonstrated the tremendous influence of the pore size of the membrane on epithelial formation. Furthermore, primary keratinocytes reacted more sensitive to pH changes in the medium than HaCaT cells did.
Since primary keratinocytes did not adequately develop on the functionalized meshes, polycarbonate membranes were used instead of electrospun meshes to establish oral mucosa models. The tissue-engineered models represented important features of native human oral mucosa. They consisted of a multilayered epithelium with stratum basale, stratum spinosum, stratum granulosum, and stratum corneum. The models formed a physical barrier and the expression of characteristic cell markers was comparable with that in native human oral mucosa. The results from the ET-50 assay and the irritation study reflected the reproducibility of the tissue equivalents.
Altogether, electrospinning enables the production of fibers with structural similarity to the basement membrane. Incorporating extracellular matrix components to mimic the functional composition offers a safe and promising way to modify the fibers so that they can be used for different tissue engineering applications. The resultant biomimetic membranes that can be functionalized with binding sequences derived from widely varying proteins can be used as a toolbox to study the influence of isotropic and bipolar basement membranes on tissue formation and matrix remodeling systematically, with regards to the biochemical composition and the influence and importance of mono- and co-culture. The oral mucosa models may be useful for toxicity and permeation studies, to monitor the irritation potential of oral health care products and biomaterials or as a disease model.
The current dissertation addresses the analysis of technology-enhanced learning processes by using Process Mining techniques. For this purpose, students’ coded think-aloud data served as the measurement of the learning process, in order to assess the potential of this analysis method for evaluating the impact of instructional support.
The increasing use of digital media in higher education and further educational sectors enables new potentials. However, it also poses new challenges to students, especially regarding the self-regulation of their learning process. To help students with optimally making progress towards their learning goals, instructional support is provided during learning. Besides the use of questionnaires and tests for the assessment of learning, researchers make use increasingly of process data to evaluate the effects of provided support. The analysis of observed behavioral traces while learning (e.g., log files, eye movements, verbal reports) allows detailed insights into the student’s activities as well as the impact of interventions on the learning process. However, new analytical challenges emerge, especially when going beyond the analysis of pure frequencies of observed events. For example, the question how to deal with temporal dynamics and sequences of learning activities arises. Against this background, the current dissertation concentrates on the application of Process Mining techniques for the detailed analysis of learning processes. In particular, the focus is on the additional value of this approach in comparison to a frequency-based analysis, and therefore on the potential of Process Mining for the evaluation of instructional support.
An extensive laboratory study with 70 university students, which was conducted to investigate the impact of a support measure, served as the basis for pursuing the research agenda of this dissertation. Metacognitive prompts supported students in the experimental group (n = 35) during a 40-minute hypermedia learning session; whereas the control group (n = 35) received no support. Approximately three weeks later, all students participated in another learning session; however, this time all students learned without any help. The participants were instructed to verbalize their learning activities concurrently while learning. In the three analyses of this dissertation, the coded think aloud data were examined in detail by using frequency-based methods as well as Process Mining techniques.
The first analysis addressed the comparison of the learning activities between the experimental and control groups during the first learning session. This study concentrated on the research questions whether metacognitive prompting increases the number of metacognitive learning activities, whether a higher number of these learning activities corresponds with learning outcome (mediation), and which differences regarding the sequential structure of learning activities can be revealed. The second analysis investigated the impact of the individual prompts as well as the conditions of their effectiveness on the micro level. In addition to Process Mining, we used a data mining approach to compare the findings of both analysis methods. More specifically, we classified the prompts by their effectiveness, and we examined the learning activities preceding and following the presentation of instructional support. Finally, the third analysis considered the long-term effects of metacognitive prompting on the learning process during another learning session without support. It was the key objective of this study to examine which fostered learning activities and process patterns remained stable during the second learning session.
Overall, all three analyses indicated the additional value of Process Mining in comparison to a frequency-based analysis. Especially when conceptualizing the learning process as a dynamic sequence of multiple activities, Process Mining allows identifying regulatory loops and crucial routing points of the process. These findings might contribute to optimizing intervention strategies. However, before drawing conclusions for the design of instructional support based on the revealed process patterns, additional analyses need to investigate the generalizability of results. Moreover, the application of Process Mining remains challenging because guidelines for analytical decisions and parameter settings in technology-enhanced learning context are currently missing. Therefore, future studies need to examine further the potential of Process Mining as well as related analysis methods to provide researchers with concrete recommendations for use. Nevertheless, the application of Process Mining techniques can already contribute to advance the understanding of the impact of instructional support through the use of fine-grained process data.
Since the late 20th century, spintroncis has become a very active field of research [ŽFS04]. The prospect of spin based information technology, featuring strongly decreased energy consumption and possibly quantum-computation capabilities, has fueled this interest. Standard materials, like bulk gallium arsenide (GaAs), have experienced new attention in this context by exhibiting extraordinarily long lifetimes for nonequilibrium spin information, which is an important requirement for efficient spin based information storage and transfer. Another important factor is the lengthscale over which spin information can be transported in a given material and the role of external influences. Both aspects have been studied experimentally with innovative optical methods since the late 1990s by the groups of D. D. AWSHALOM and S. A. CROOKER et al. [KA99, CS05, CFL+05]. Although the pioneering experimental approaches presented by these authors led to a variety of insights into spin propagation, some questions were raised as well. Most prominently, the classical Einstein relation, which connects the mobility and diffusivity of a given particle species, seemed to be violated for electron spins in a bulk semiconductor. In essence, nonequilibrium spins appeared to move (diffuse) faster than the electrons that actually carry the spin. However, this contradiction was masked by the fact, that the material of interest was n-type GaAs with a doping concentration directly at the transition between metallic and insulating behavior (MIT). In this regime, the electron mobility is difficult to determine experimentally. Consequently, it was not a priori obvious that the spin diffusion rates determined by the newly introduced optical methods were in contradiction with established electrical transport data.
However, in an attempt to extend the available data of optical spin microscopy, another issue surfaced, concerning the mathematical drift-diffusion model that has been commonly used to evaluate lateral spin density measurements. Upon close investigation, this model appears to have a limited range of applicability, due to systematic discrepancies with the experimental data (chapter 4). These deviations are noticeable in original publications as well, and it is shown in the present work that they originate from the local heating of electrons in the process of optical spin pumping. Based on insights gained during the second half of the 20th century, it is recapitulated why conduction electrons are easily overheated at cryogenic temperatures. The main reason is the poor thermal coupling between electrons and the crystal lattice (chapter 3). Experiments in the present work showed that a significant thermal gradient exists in the conduction band under local optical excitation of electron–hole pairs. This information was used to develop a better mathematical model of spin diffusion, which allowed to derive the diffusivity of the undisturbed system, due to an effective consideration of electron overheating. In this way, spin diffusivities of n-GaAs were obtained as a function of temperature and doping density in the most interesting regime of the metal–insulator-transition.
The experiments presented in this work were performed on a series of n-type bulk GaAs samples, which comprised the transition between metallic conductivity and electrical insulation at low temperatures. Local electron temperature gradients were measured by a hyperspectral photoluminescence imaging technique with subsequent evaluation of the electron–acceptor (e,A$^0$) line shape. The local density of nonequilibrium conduction electron spins was deduced from scanning magneto-optic Kerr effect microscopy. Numerical evaluations were performed using the finite elements method in combination with a least-squares fitting procedure.
Chapter 1 provides an introduction to historical and recent research in the field of spintronics, as far as it is relevant for the understanding of the present work. Chapter 2 summarizes related physical concepts and experimental methods. Here, the main topics are semiconductor optics, relaxation of hot conduction electrons, and the dynamics of nonequilibrium electron spins in semiconductors.
Chapter 3 discusses optical heating effects due to local laser excitation of electron–hole pairs. Experimental evaluations of the acceptor-bound-exciton triplet lines led to the conclusion that the crystal lattice is usually not overheated even at high excitation densities. Here, the heat is efficiently dissipated to the bath, due to the good thermal conductivity of the lattice. Furthermore, the heating of the lattice is inherently limited by the weak heat transfer from the electron system, which on the other hand is also the reason why conduction electrons are easily overheated at temperatures below ≈ 30 K. Spatio-spectral imaging of the electron–acceptor-luminescence line shape allowed to trace the thermal gradient within the conduction band under focused laser excitation. A heat-diffusion model was formulated, which reproduces the experimental electron-temperature trend nicely for low-doped GaAs samples of n- and p-type. For high-doped n-type GaAs samples, it could be shown that the lateral electron-temperature profile is well approximated by a Gaussian. This facilitated easy integration of hot electron influence into the mathematical model of spin diffusion.
Chapter 4 deals with magneto-optical imaging of optically induced nonequilibrium conduction-electron spins in n-GaAs close to the MIT. First, the spectral dependence of the magneto-optic Kerr effect was examined in the vicinity of the fundamental band gap. Despite the marked differences among the investigated samples, the spectral shape of the Kerr rotation could be described in terms of a simple Lorentz-oscillator model in all cases. Based on this model, the linearity of the Kerr effect with respect to a nonequilibrium spin polarization is demonstrated, which is decisively important for further quantitative evaluations.
Furthermore, chapter 4 presents an experimental survey of spin relaxation in n-GaAs at the MIT. Here, the dependence of the spin relaxation time on bath temperature and doping density was deduced from Hanle-MOKE measurements. While all observed trends agree with established literature, the presented results extend the current portfolio by adding a coherent set of data.
Finally, diffusion of optically generated nonequilibrium conduction-electron spins was investigated by scanning MOKE microscopy. First, it is demonstrated that the standard diffusion model is inapplicable for data evaluation in certain situations. A systematic survey of the residual deviations between this model and the experimental data revealed that this situation unfortunately persisted in published works. Moreover, the temperature trend of the residual deviations suggests a close connection to the local overheating of conduction electrons. Consequently, a modified diffusion model was developed and evaluated, in order to compensate for the optical heating effect. From this model, much more reliable results were obtained, as compared to the standard diffusion model. Therefore, it was shown conclusively that the commonly reported anomalously large spin diffusivities were at least in parts caused by overheated conduction electrons.
In addition to these new insights some experimental and technological enhancements were realized in the course of this work. First, the optical resolution of scanning MOKE microscopy was improved by implementing a novel scanning mechanism, which allows the application of a larger aperture objective than in the usual scheme. Secondly, imaging photoluminescence spectroscopy was employed for spatially resolved electron-temperature measurements. Here, two different implementations were developed: One for lattice-temperature measurements by acceptor–bound exciton luminescence and a second for conduction-electron temperature measurements via the analysis of the electron–acceptor luminescence line shape.
It is shown in the present work that the originally stated anomalously high spin diffusivities were caused to a large extent by unwanted optical heating of the electron system. Although an efficient method was found to compensate for the influence of electron heating, it became also evident that the classical Einstein relation was nonetheless violated under the given experimental conditions. In this case however, it could be shown that this discrepancy did not originate from an experimental artifact, but was instead a manifestation of the fermionic nature of conduction electrons.
In this thesis the excited-state dynamics of radicals and biradicals were characterized with femtosecond pump-probe spectroscopy.
These open-shell molecules play important roles as combustion intermediates, in the formation of soot and polycyclic aromatic hydrocarbons, in atmospheric chemistry and in the formation of complex molecules in the interstellar medium and galactic clouds. In these processes molecules frequently occur in some excited state, excited either by thermal energy or radiation. Knowledge of the reactivity and dynamics of these excited states completes our understanding of these complex processes.
These highly reactive molecules were produced via pyrolysis from suitable precursors and examined in a molecular beam under collision-free conditions. A first laser now excites the molecule, and a second laser ionizes it. Time-of-flight mass spectrometry allowed a first identification of the molecule, photoelectron spectroscopy a complete characterization of the molecule - under the condition that the mass spectrum was dominated by only one mass. The photoelectron spectrum was obtained via velocity-map imaging, providing an insight in the electronic states involved. Ion velocity map imaging allowed separation of signal from direct ionization of the radical in the molecular beam and dissociative photoionization of the precursor. During this thesis a modified pBasex algorithm was developed and implemented in python, providing an image inversion tool without interpolation of data points. Especially for noisy photoelectron images this new algorithm delivers better results.
Some highlighted results:
• The 2-methylallyl radical was excited in the ππ*-state with different internal energies using three different pump wavelengths (240.6 , 238.0 and 236.0 nm). Ionized with 800 nm multi-photon probe, the photoelectron spectra shows a s-Rydberg fingerprint spectrum, a highly positive photoelectron anisotropy of 1.5 and a bi-exponential decay ( τ1= 141\pm43 fs, τ2= 4.0\pm0.2 ps for 240.6 nm pump), where the second time-constant shortens for lower wavelengths. Field-induced surface hopping dynamics calculations confirm that the initially excited ππ*-state relaxes very fast to an s-Rydberg state (first experimentally observed time-constant), and then more slowly to the first excited state/ground state (second time-constant). With higher excitation energies the conical intersection between the s-Rydberg-state and the first excited state is reached faster, resulting in shorter life-times.
• The benzyl radical was excited yith 265 nm and probed with two wavelengths, 798 nm and 398 nm. Probed with 798 nm it shows a bi-exponential decay (\tau_{1}=84\pm5 fs, \tau_{2}=1.55\pm0.12 ps), whereas with 398 nm probe only the first time-constant is observed (\tau_{1}=89\pm5 fs). The photoelectron spectra with 798 nm probe is comparable to the spectrum with 398 nm probe during the first 60 fs, at longer times an additional band appears. This band is due to a [1+3']-process, whereas with 398 nm only signal from a [1+1']-process can be observed. Non-adiabatic dynamic on the fly calculations show that the initially excited, nearly degenerate ππ/p-Rydberg-states relax very fast (first time-constant) to an s-Rydberg state. This s-Rydberg state can no longer be ionized with 398 nm, but with 798 nm ionization via intermediate resonances is still possible. The s-Rydberg state then decays to the first excited state (second time-constant), which is long-lived.
• Para-xylylene, excited with 266 nm into the S2-state and probed with 800 nm, shows a bi-exponential decay (\tau_{1}=38\pm7 fs, \tau_{2}=407\pm9 fs). The initially excited S2-state decays quickly to S1-state, which shows dissociative photoionization. The population of the S1-state is directly visible in the masses of the dissociative photoionization products, benzene and the para-xylylene -H.
• Ortho-benzyne, produced via pyrolysis from benzocyclobutendione, was excited with 266 nm in the S2 state and probed with 800 nm. In its time-resolved mass spectra the dynamic of the ortho-benzyne signal was superposed with the dynamics from dissociative photoionization of the precursor and of the ortho-benzyne-dimer. With time-resolved ion imaging gated on the ortho-benzyne these processes could be seperated, showing that the S2-state of ortho-benzyne relaxes within 50 fs to the S1-state.
This dissertation studies the interrelations between housing markets and monetary policy from three different perspectives. First, it identifies housing finance specific shocks and analyzes their impact on the broader economy and, most importantly, the systematic monetary policy reaction to such mortgage sector disturbances. Second, it investigates the implications of the institutional arrangement of a currency union for the potential buildup of a housing bubble in a member country of the monetary union by, inter alia, fostering border-crossing capital flows and ultimately residential investment activity. This dissertation, third, quantifies the effects of autonomous monetary policy shifts on the macroeconomy and, in particular, on housing markets by conditioning on financial sector conditions. From a methodological perspective, the dissertation draws on time-series econometrics like vector autoregressions (VARs) or local projections models.
The topic of this PhD thesis is the combination of topologically non-trivial phases with correlation effects stemming from Coulomb interaction between the electrons in a condensed matter system. Emphasis is put on both emerging benefits as well as hindrances, e.g. concerning the topological protection in the presence of strong interactions.
The physics related to topological effects is established in Sec. 2. Based on the topological band theory, we introduce topological materials including Chern insulators, topological insulators in two and three dimensions as well as Weyl semimetals. Formalisms for a controlled treatment of Coulomb correlations are presented in Sec. 3, starting with the topological field theory. The Random Phase Approximation is introduced as a perturbative approach, while in the strongly interacting limit the theory of quantum Hall ferromagnetism applies. Interactions in one dimension are special, and are treated through the Luttinger liquid description. The section ends with an overview of the expected benefits offered by the combination of topology and interactions, see Sec. 3.3.
These ideas are then elaborated in the research part. In Chap. II, we consider weakly interacting 2D topological insulators, described by the Bernevig-Hughes-Zhang model. This is applicable, e.g., to quantum well structures made of HgTe/CdTe or InAs/GaSb. The bulk band structure is here a mixture stemming from linear Dirac and quadratic Schrödinger fermions. We study the low-energy excitations in Random Phase Approximation, where a new interband plasmon emerges due to the combined Dirac and Schrödinger physics, which is absent in the separate limits. Already present in the undoped limit, one finds it also at finite doping, where it competes with the usual intraband plasmon. The broken particle-hole symmetry in HgTe quantum wells allows for an effective separation of the two in the excitation spectrum for experimentally accessible parameters, in the right range for Raman or electron loss spectroscopy. The interacting bulk excitation spectrum shows here clear differences between the topologically trivial and topologically non-trivial regime. An even stronger signal in experiments is expected from the optical conductivity of the system. It thus offers a quantitative way to identify the topological phase of 2D topological insulators from a bulk measurement.
In Chap. III, we study a strongly interacting system, forming an ordered, quantum Hall ferromagnetic state. The latter can arise also in weakly interacting materials with an applied strong magnetic field. Here, electrons form flat Landau levels, quenching the kinetic energy such that Coulomb interaction can be dominant. These systems define the class of quantum Hall topological insulators: topologically non-trivial states at finite magnetic field, where the counter-propagating edge states are protected by a symmetry (spatial or spin) other than time-reversal. Possible material realizations are 2D topological insulators like HgTe heterostructures and graphene. In our analysis, we focus on the vicinity of the topological phase transition, where the system is in a strongly interacting quantum Hall ferromagnetic state. The bulk and edge physics can be described by a nonlinear \sigma-model for the collective order parameter of the ordered state. We find that an emerging, continuous U(1) symmetry offers topological protection. If this U(1) symmetry is preserved, the topologically non-trivial phase persists in the presence of interactions, and we find a helical Luttinger liquid at the edge. The latter is highly tunable by the magnetic field, where the effective interaction strength varies from weakly interacting at zero field, K \approx 1, to diverging interaction strength at the phase transition, K -> 0.
In the last Chap. IV, we investigate whether a Weyl semimetal and a 3D topological insulator phase can exist together at the same time, with a combined, hybrid surface state at the joint boundaries. An overlap between the two can be realized by Coulomb interaction or a spatial band overlap of the two systems. A tunnel coupling approach allows us to derive the hybrid surface state Hamiltonian analytically, enabling a detailed study of its dispersion relation. For spin-symmetric coupling, new Dirac nodes emerge out of the combination of a single Dirac node and a Fermi arc. Breaking the spin symmetry through the coupling, the dispersion relation is gapped and the former Dirac node gets spin-polarized. We propose experimental realizations of the hybrid physics, including compressively strained HgTe as well as heterostructures of topological insulator and Weyl semimetal materials, connected to each other, e.g., by Coulomb interaction.
The focus of the work concerned the development of a series of MRI techniques that were specifically designed and optimized to obtain quantitative and spatially resolved information about characteristic parameters of the lung. Three image acquisition techniques were developed. Each of them allows to quantify a different parameter of relevant diagnostic interest for the lung, as further described below:
1) The blood volume fraction, which represents the amount of lung water in the intravascular compartment expressed as a fraction of the total lung water. This parameter is related to lung perfusion.
2) The magnetization relaxation time T\(_2\) und T*\(_2\)
, which represents the component of T\(_2\) associated with the diffusion of water molecules through the internal magnetic field gradients of the lung. Because the amplitude of these internal gradients is related to the alveolar size, T\(_2\) und T*\(_2\) can be used to obtain information about the microstructure of the lung.
3) The broadening of the NMR spectral line of the lung. This parameter depends on lung inflation and on the concentration of oxygen in the alveoli. For this reason, the spectral line broadening can be regarded as a fingerprint for lung inflation; furthermore, in combination with oxygen enhancement, it provides a measure for lung ventilation.
Sponges (phylum Porifera) are evolutionary ancient, sessile filter-feeders that harbor a largely diverse microbial community within their internal mesohyl matrix. Throughout this thesis project, I aimed at exploring the adaptations of these symbionts to life within their sponge host by sequencing and analyzing the genomes of a variety of bacteria from the microbiome of the Mediterranean sponge Aplysina aerophoba. Employed methods were fluorescence-activated cell sorting with subsequent multiple displacement amplification and single-cell / ‘mini-metagenome’ sequencing, and metagenomic sequencing followed by differential coverage binning. These two main approaches both aimed at obtaining genome sequences of bacterial symbionts of A. aerophoba, that were then compared to each other and to references from other environments, to gain information on adaptations to the host sponge environment and on possible interactions with the host and within the microbial community.
Cyanobacteria are frequent members of the sponge microbial community. My ‘mini-metagenome’ sequencing project delivered three draft genomes of “Candidatus Synechococcus spongiarum,” the cyanobacterial symbiont of A. aerophoba and many more sponges inhabiting the photic zone. The most complete of these genomes was compared to other clades of this symbiont and to closely related free-living cyanobacterial references in a collaborative project published in Burgsdorf I*, Slaby BM* et al. (2015; *shared first authorship). Although the four clades of “Ca. Synechococcus spongiarum” from the four sponge species A. aerophoba, Ircinia variabilis, Theonella swinhoei, and Carteriospongia foliascens were approximately 99% identical on the level of 16S rRNA gene sequences, they greatly differed on the genomic level. Not only the genome sizes were different from clade to clade, but also the gene content and a number of features including proteins containing the eukaryotic-type domains leucine-rich repeats or tetratricopeptide repeats. On the other hand, the four clades shared a number of features such as ankyrin repeat domain-containing proteins that seemed to be conserved also among other microbial phyla in different sponge hosts and from different geographic locations. A possible novel mechanism for host phagocytosis evasion and phage resistance by means of an altered O antigen of the lipopolysaccharide was identified.
To test previous hypotheses on adaptations of sponge-associated bacteria on a broader spectrum of the microbiome of A. aerophoba while also taking a step forward in methodology, I developed a bioinformatic pipeline to combine metagenomic Illumina short-read sequencing data with PacBio long-read data. At the beginning of this project, no pipelines to combine short-read and long-read data for metagenomics were published, and at time of writing, there are still no projects published with a comparable aim of un-targeted assembly, binning and analysis of a metagenome. I tried a variety of assembly programs and settings on a simulated test dataset reflecting the properties of the real metagenomic data. The developed assembly pipeline improved not only the overall assembly statistics, but also the quality of the binned genomes, which was evaluated by comparison to the originally published genome assemblies.
The microbiome of A. aerophoba was studied from various angles in the recent years, but only genomes of the candidate phylum Poribacteria and the cyanobacterial sequences from my above-described project have been published to date. By applying my newly developed assembly pipeline to a metagenomic dataset of A. aerophoba consisting of a PacBio long-read dataset and six Illumina short-read datasets optimized for subsequent differential coverage binning, I aimed at sequencing a larger number and greater diversity of symbionts. The results of this project are currently in review by The ISME Journal. The complementation of Illumina short-read with PacBio long-read sequencing data for binning of this highly complex metagenome greatly improved the overall assembly statistics and improved the quality of the binned genomes. Thirty-seven genomes from 13 bacterial phyla and candidate phyla were binned representing the most prominent members of the microbiome of A. aerophoba. A statistical comparison revealed an enrichment of genes involved in restriction modification and toxin-antitoxin systems in most symbiont genomes over selected reference genomes. Both are defense features against incoming foreign DNA, which may be important for sponge symbionts due to the sponge’s filtration and phagocytosis activity that exposes the symbionts to high levels of free DNA. Also host colonization and matrix utilization features were significantly enriched. Due to the diversity of the binned symbiont genomes, a within-symbionts genome comparison was possible, that revealed three guilds of symbionts characterized by i) nutritional specialization on the metabolization of carnitine, ii) specialization on sulfated polysaccharides, and iii) apparent nutritional generalism. Both carnitine and sulfated polysaccharides are abundant in the sponge extracellular matrix and therefore available to the sponge symbionts as substrates. In summary, the genomes of the diverse community of symbionts in A. aerophoba were united in their defense features, but specialized regarding their nutritional preferences.
African trypanosomiasis is a disease endemic to sub-Saharan Africa. It affects humans as well as wild and domestic animals. The human form of the disease is known as sleeping sickness and the animal form as nagana, which are usually fatal if left untreated. The cause of African trypanosomiasis is the unicellular parasite Trypanosoma brucei. During its life cycle, Trypanosoma brucei shuttles between a mammalian host and the tsetse fly vector. In the mammalian host the parasite multiplies as bloodstream form (BSF) extracellularly in the bloodstream or the lymphatic system. Survival of BSF parasites relies on immune evasion by antigenic variation of surface proteins because its extracellular lifestyle leads to direct exposure to immune responses. At any given time each BSF cell expresses a single type of variant surface glycoprotein (VSG) on its surface from a large repertoire. The active VSG is transcribed from one of 15 specialized subtelomeric domains, termed bloodstream expression sites (BESs). The remaining 14 BESs are silenced. This monoallelic expression and periodic switching of the expressed VSG enables to escape the immune response and to establish a persistent infection in the mammalian host. During developmental differentiation from BSF to the insect vector-resident procyclic form (PCF), the active BES is transcriptionally silenced to stop VSG transcription. Thus, all 15 BESs are inactive in the PCF cells as surface protein expression is developmentally regulated.
Previous reports have shown that the telomere complex components TbTRF, TbRAP1 and TbTIF2 are involved in VSG transcriptional regulation. However, the precise nature of their contribution remains unclear. In addition, no information is available about the role of telomeres in the initiation and regulation of developmental BES silencing. To gain insights into the regulatory mechanisms of telomeres on VSG transcription and developmental repression it is therefore essential to identify the complete composition of the trypanosome telomere complex.
To this end, we used two complementary biochemical approaches and quantitative label-free interactomics to determine the composition of telomere protein complexes in T. brucei. Firstly, using a telomeric pull-down assay we found 17 potential telomere-binding proteins including the known telomere-binding proteins TbTRF and TbTIF2. Secondly, by performing a co-immunoprecipitation experiment to elucidate TbTRF interactions we co-purified five proteins. All of these five proteins were also enriched with telomeric DNA in the pull-down assay.
To validate these data, I characterized one of the proteins found in both experiments (TelBP1). In BSF cells, TelBP1 co-localizes with TbTRF and interacts with already described telomere-binding proteins such as TbTRF, TbTIF2 and TbRAP1 indicating that TelBP1 is a novel component of the telomere complex in trypanosomes. Interestingly, protein interaction studies in PCF cells suggested a different telomere complex composition compared to BSF cells. In contrast to known members of the telomere complex, TelBP1 is dispensable for cell viability indicating that its function might be uncoupled from the known telomere-binding proteins. Overexpression of TelBP1 had also no effect on cell viability, but led to the discovery of two additional shorter isoforms of TelBP1. However, their source and function remained elusive.
Although TelBP1 is not essential for cell viability, western blot analysis revealed a 4-fold upregulation of TelBP1 in the BSF stage compared to the PCF stage supporting the concept of a dynamic telomere complex composition. We observed that TelBP1 influences the kinetics of transcriptional BES silencing during developmental transition from BSF to PCF. Deletion of TelBP1 caused faster BES silencing compared to wild-type parasites.
Taken together, TelBP1 function illustrates that developmental BES silencing is a fine-tuned process, which involves stage-specific changes in telomere complex formation.
Sex determination (SD) is a complex and diverse developmental process that leads to the decision whether the bipotential gonad anlage will become a testis or an ovary. This mechanism is regulated by gene cascades, networks and/or chromosomal systems, and can be influenced by fluctuations of extrinsic factors like temperature, exposure to hormones and pollution. Within vertebrates, the group of fish show the widest variety of sex determination mechanism. This whole diversity of processes and mechanisms converges to the formation of two different gametes, the eggs and the sperm, the first bigger and static, and the second smaller and motile. Meiosis is crucial for the formation of both types of gametes, and the timing of meiosis entry is one of the first recognizable differences between male and female in vertebrates. The germ cells go into meiosis first in female than in male, and in mammals, this event has been shown to be regulated by retinoic acid (RA). This small polar molecule induces in the germ cells the expression of the pre-meiotic marker Stra8 (stimulated by retinoic acid gene 8), which is necessary for meiosis initiation. Interestingly, genome analyzes have shown that the majority of fish (including medaka) lack the stra8 gene, adding a question mark to the role of RA in meiosis induction in this group. Since a role of RA in entry of meiosis and sexual development of fish is still far from being understood, I investigated in medaka (Oryzias latipes) a possible signaling function of RA during the SD period in embryos and in reproductively active gonads of adults. I generated a transgenic medaka line that reports responsiveness to RA in vivo. With this tool, I compared RA responsiveness with the expression of the main gene involved in the synthesis of RA. My results show that there is a de-correlation between the action of RA with its source. In adults, expression of the RA metabolizing enzymes show sexually dimorphic RA levels, with aldh1a2 levels being higher in testis, and cyp26a1 stronger in female gonad. In ovary, the responsiveness is restricted to the early meiotic oocytes. In testis, RA is acting directly in the pre-meiotic cells, but also in Sertoli and Leydig cells. Treatment experiments on testis organ culture showed that RA pathway activation leads to a decrease in meiosis markers expression levels. During the development, RA responsiveness in the germ cells was observed in both sexes much earlier than the first female meiosis entry. Treatments with RA-synthesis inhibitor show a decrease in meiosis markers expression levels only after the sex differentiation period in female. Expression analyzes of embryos treated with exogenous RA showed induction of dmrt1a at the gonad levels and an increase of amh levels. Both genes are not only involved in male formation, but also in the regulation of germ cell proliferation and differentiation. RA is important in meiosis induction and gametogenesis in adult medaka. However, there is no evidence for a similar role of RA in initiating the first meiosis in female germ cells at the SD stage. Moreover, contrary to common expectation, RA seems to induce sex related genes that are involved indirectly in meiosis inhibition. In this thesis, I showed for the first time that RA can be involved in both induction and inhibition of meiosis entry, depending on the sex and the developmental stage in a stra8-independent model organism.
Latrophilin, alternatively named calcium-independent receptor of α-latrotoxin (CIRL), resembles a prototype of the adhesion class G-protein coupled receptors (GPCRs). Initially identified as a high-affinity receptor for α-latrotoxin, a component of the black widow spider, latrophilins are now associated with various distinct functions, such as synaptic exocytosis, tissue polarity and fertility (Tobaben et al., 2002; Langenhan et al., 2009; Promel et al., 2012). Despite these exploratory efforts the precise subcellular localisation as well as the endogenous ligand of CIRL still remains elusive. In this work genetic experiments, imaging approaches and behavioural studies have been used to unravel the localisation and physiological function of the latrophilin homolog dCirl in Drosophila melanogaster. Containing only one latrophilin homolog together with its genetic accessibility and well-established transgenic approaches, Drosophila seemed an ideally suited model organism. The present study showed that dCirl is widely expressed in the larval central nervous system including moto- and sensory neurons. Further, this work revealed that removal of the latrophilin homolog does not greatly affect synaptic transmission but it seems that aspects of the postsynaptic structural layout are controlled by dCIRL in the fruit fly. Additionally, dCirl expression at the transcriptional level was confirmed in larval and adult chordotonal organs, specialised mechanosensors implicated in proprioception (Eberl, 1999). Expression of dCIRL at the protein level could not yet been confirmed in moto- and sensory neurons likely due to low endogenous expression. However, behavioural studies using dCirl knockout mutant larvae indicated a putative mechanosensory function of dCIRL regarding touch sensitivity and locomotion behaviour.
The second part of this thesis presents a strategy to examine interactions between several presynaptic proteins in living cells. The attempt described in this work is based on the discovery that GFP when split into two non-fluorescent fragments can form a fluorescent complex. The association of the fragments can be facilitated by fusing them to two proteins that interact with each other. Therefore, the split GFP method enables direct visualization of synaptic protein interactions in living cells. In initial experiments I could show that full length reporter protein fusions with n-Synaptobrevin (n-Syb), Synaptotagmin (Syt) and Syntaxin (Syx) allow expression in Drosophila and confirmed that fusion to either end of each synaptic protein did not impair expression or influence the viability of transgenic flies. Further, transgenes containing protein fusions of Syx, Syt, and n-Syb with split GFP fragments were established in previous studies (Gehring, 2010). The present work characterises the interaction of these protein fusions during different stages of synaptic vesicle turnover at active zones such as synaptic vesicle docking at the presynaptic membrane and vesicle fusion. These results suggest that the spGFP assay seems only partly suitable for resolving fast and transient protein-protein interactions at larval Drosophila active zones in vivo.
Marine sponge-associated actinomycetes are considered as promising source for the discovery of novel biologically active compounds. Metabolomics coupled multivariate analysis can efficiently reduce the chemical redundancy of re-isolating known compounds at the very early stage of natural product discovery. This Ph.D. project aimed to isolate biologically active secondary metabolites from actinomycetes associated with different Mediterranean sponges with the assistance of metabolomics tools to implement a rapid dereplication and chemically distinct candidate targeting for further up-scaling compounds isolation.
This study first focused on the recovery of actinomycetes from marine sponges by various cultivation efforts. Twelve different media and two separate pre-treatments of each bacterial extract were designed and applied to facilitate actinomycete diversity and richness. A total of 64 actinomycetes were isolated from 12 different marine sponge species. The isolates were affiliated to 23 genera representing 8 different suborders based on nearly full-length 16S rRNA gene sequencing. Four putatively novel species belonging to the genera Geodermatophilus, Microlunatus, Rhodococcus, and Actinomycetospora were identified based on a sequence similarity <98.5% to validly described 16S rRNA gene sequences. 20% of the isolated actinomycetes was shown to exhibit diverse biological properties, including antioxidant, anti-Bacillus sp., anti-Aspergillus sp., and antitrypanosomal activities.
The metabolomics approaches combined with the bioassay results identified two candidate strains Streptomyces sp. SBT348 and Streptomyces sp. SBT345 for further up-scaling cultivation and compounds isolation. Four compounds were isolated from Streptomyces sp. SBT348. Three of these compounds including the new cyclic dipeptide petrocidin A were previously highlighted in the metabolomics analyses, corroborating the feasibility of metabolomics approaches in novel compounds discovery. These four compounds were also tested against two pathogen microorganisms since the same activities were shown in their crude extract in the preliminary bioassay screening, however none of them displayed the expected activities, which may ascribe to the insufficient amount obtained. Streptomyces sp. SBT345 yielded 5 secondary metabolites, three of which were identified as new natural products, namely strepthonium A, ageloline A and strepoxazine A. Strepthonium A inhibited the production of Shiga toxin produced by enterohemorrhagic Escherichia coli at a concentration of 80 μM, without interfering with the bacterial growth. Ageloline A exhibited antioxidant activity and inhibited the inclusion of Chlamydia trachomatis with an IC50 value of 9.54 ± 0.36 μM. Strepoxazine A displayed antiproliferative property towards human promyelocytic HL-60 cells with an IC50 value of 16 μg/ml.
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These results highlighted marine sponges as a rich source for novel actinomycetes and further exhibited the significance of marine sponge-associated actinomycetes as promising producers of novel biologically active compounds. The chemometrics coupled metabolomics approach also demonstrated its feasibility and efficacy in natural product discovery.
Mechanisms of visual memory formation in bees: About immediate early genes and synaptic plasticity
(2017)
Animals form perceptual associations through processes of learning, and retain that information through mechanisms of memory. Honeybees and bumblebees are classic models for insect perception and learning, and despite their small brains with about one million neurons, they are organized in highly social colonies and possess an astonishing rich behavioral repertoire including navigation, communication and cognition. Honeybees are able to harvest hundreds of morphologically divergent flower types in a quick and efficient manner to gain nutrition and, back in the hive, communicate discovered food sources to nest mates. To accomplish such complex tasks, bees must be equipped with diverse sensory organs receptive to stimuli of different modalities and must be able to associatively learn and memorize the acquired information. Particularly color vision plays a prominent role, e.g. in navigation along landmarks and when bees identify inflorescences by their color signals. Once acquired, bees are known to retain visual information for days or even months. Numerous studies on visual perception and color vision have been conducted in the past decades and largely revealed the information processing pathways in the brain. In contrast, there are no data available on how the brain may change in the course of color learning experience and whether pathways differ for coarse and fine color learning. Although long-term memory (LTM) storage is assumed to generally include reorganization of the neuronal network, to date it is unclear where in the bee brain such changes occur in the course of color learning and whether visual memories are stored in one particular site or decentrally distributed over different brain domains. The present dissertation research aimed to dissect the visual memory trace in bees that is beyond mere stimulus processing and therefore two different approaches were elaborated: first, the application of immediate early genes (IEG) as genetic markers for neuronal activation to localize early processes underlying the formation of a stable LTM. Second, the analysis of late consequences of memory formation, including synaptic reorganization in central brain areas and dependencies of color discrimination complexity.
Immediate early genes (IEG) are a group of rapidly and transiently expressed genes that are induced by various types of cellular stimulation. A great number of different IEGs are routinely used as markers for the localization of neuronal activation in vertebrate brains. The present dissertation research was dedicated to establish this approach for application in bees, with focus on the candidate genes Amjra and Amegr, which are orthologous to the two common vertebrate IEGs c-jun and egr-1. First the general requirement of gene transcription for visual LTM formation was proved. Bumblebees were trained in associative proboscis extension response (PER) conditioning to monochromatic light and subsequently injected with an inhibitor of gene transcription. Memory retention tests at different intervals revealed that gene transcription is not required for the formation of a mid-term memory, but for stable LTM. Next, the appliance of the candidate genes was validated. Honeybees were exposed to stimulation with either alarm pheromone or a light pulse, followed by qPCR analysis of gene expression. Both genes differed in their expression response to sensory exposure: Amjra was upregulated in all analyzed brain parts (antennal lobes, optic lobes and mushroom bodies, MB), independent from stimulus modality, suggesting the gene as a genetic marker for unspecific general arousal. In contrast, Amegr was not significantly affected by mere sensory exposure. Therefore, the relevance of associative learning on Amegr expression was assessed. Honeybees were trained in visual PER conditioning followed by a qPCR-based analysis of the expression of all three Amegr isoforms at different intervals after conditioning. No learning-dependent alteration of gene expression was observed. However, the presence of AmEgr protein in virtually all cerebral cell nuclei was validated by immunofluorescence staining. The most prominent immune-reactivity was detected in MB calyx neurons.
Analysis of task-dependent neuronal correlates underlying visual long-term memory was conducted in free-flying honeybees confronted with either absolute conditioning to one of two perceptually similar colors or differential conditioning with both colors. Subsequent presentation of the two colors in non-rewarded discrimination tests revealed that only bees trained with differential conditioning preferred the previously learned color. In contrast, bees of the absolute conditioning group chose randomly among color stimuli. To investigate whether the observed difference in memory acquisition is also reflected at the level of synaptic microcircuits, so called microglomeruli (MG), within the visual domains of the MB calyces, MG distribution was quantified by whole-mount immunostaining three days following conditioning. Although learning-dependent differences in neuroarchitecture were absent, a significant correlation between learning performance and MG density was observed.
Taken together, this dissertation research provides fundamental work on the potential use of IEGs as markers for neuronal activation and promotes future research approaches combining behaviorally relevant color learning tests in bees with examination of the neuroarchitecture to pave the way for unraveling the visual memory trace.
The inhibitory glycine receptors are one of the major mediators of rapid synaptic inhibition in the mammalian brainstem, spinal cord and higher brain centres. They are ligand-gated ion channels that are mainly involved in the regulation of motor functions. Dysfunction of the receptor is associated with motor disorders such as hypereklepxia or some forms of spasticity. GlyR is composed of two glycosylated integral membrane proteins α and β and a peripheral membrane protein of gephyrin. Moreover, there are four known isoforms of the α-subunit (α1-4) of GlyR while there is a single β-subunit. Glycine receptors can be homomeric including α subunits only or heteromeric containing both α and β subunits. To date, strychnine is the ligand that has the highest affinity as glycine receptor ligand. It acts as a competitive antagonist of glycine that results in the inhibition of Cl- ions permeation and consequently reducing GlyR-mediated inhibition.
For a long time, the details of the molecular mechanism of GlyRs inactivation by strychnine were insufficient due to the lack of high-resolution structures of the receptor. Only homology models based on structures of other cys-loop receptors have been available. Recently, 3.0 Å X-ray structure of the human glycine receptor- α3 homopentamer in complex with strychnine, as well as electro cryo-microscopy structures of the zebra fish α1 GlyR in complex with strychnine and glycine were published. Such information provided detailed insight into the molecular recognition of agonists and antagonists and mechanisms of GlyR activation and inactivation.
Very recently, a series of dimeric strychnine analogs obtained by diamide formation of two molecules of 2-aminostrychnine with diacids of different chain length was pharmacologically evaluated at human α1 and α1β glycine receptors. None of the dimeric analogs was superior to strychnine.
The present work focused on the extension of the structure-activity relationships of strychnine derivatives at glycine receptors
All the synthesized compounds were pharmacologically evaluated at human α1 and α1β glycine receptors in a functional FLIPRTM assay and the most potent analogs were pharmacologically evaluated in a whole cell patch-clamp assay and in [3H]strychnine binding studies.
It was reported that 11-(E)-isonitrosostrychnine displayed a 2-times increased binding to both α1 and α1β glycine receptors which prompted us to choose the hydroxyl group as a suitable attachment point to connect two 11-(E)-isonitrosostrychnine molecules using a spacer. In order to explore the GlyR pocket tolerance for oxime extension, a series of oxime ethers with different spacer lengths and sterical/lipophilic properties were synthesized biologically evaluated. Among all the oxime ethers, methyl, allyl and propagyl oxime ethers were the most potent antagonists displaying IC50 values similar to that of strychnine. These findings indicated that strychnine binding site at GlyRs comprises an additional small lipophilic pocket located in close proximity to C11 of strychnine and the groups best accommodated in this pocket are (E)-allyl and (E)-propagyl oxime ethers.
Moreover, 11-aminostrychnine, and the corresponding propionamide were prepared and pharmacologically evaluated to examine the amide function at C11 as potential linker.
A series of dimeric strychnine analogs designed by linking two strychnine molecules through amino groups in position 11 with diacids were synthesized and tested in binding studies and functional assays at human α1 and α1β glycine receptors. The synthesized bivalent ligands were designed to bind simultaneously to two α-subunits of the pentameric glycine receptors causing a possibly stronger inhibition than the monomeric strychnine. However, all the bivalent derivatives showed no significant difference in potency compared to strychnine. When comparing the reference monomeric propionamide containing ethylene spacer to the dimeric ligand containing butylene spacer, a 3-fold increase in potency was observed. Since the dimer containing (CH2)10 spacer length was found to be equipotent to strychnine, it is assumed that one molecule of strychnine binds to the receptor and the ‘additional’ strychnine molecule in the dimer probably protrudes from the orthosteric binding sites of the receptor.
Anionic Adducts
Sp2-sp3 tetraalkoxy diboron compounds have gained attention due to the development of new, synthetically useful catalytic reactions either with or without transition-metals. Lewis-base adducts of the diboron(4) compounds were suggested as possible intermediates in Cu catalyzed borylation reactions some time ago. However, intermolecular adducts of tetraalkoxy diboron compounds have not been studied yet in great detail. In preliminary studies, we have synthesized a series of anionic sp2-sp3 adducts of B2pin2 with alkoxy-groups (L = [OMe]–, [OtBu]–), a phenoxy-group (L = [4-tBuC6H4O]–) and fluoride (L = [F]–, with [nBu4N]+ as the counter ion) as Lewis-bases.
Neutral Adducts
Since their isolation and characterization, applications of N-heterocyclic carbenes (NHCs) and related molecules, e.g., cyclic alkylaminocarbenes (CAACs) and acyclic diaminocarbenes (aDCs), have grown rapidly. Their use as ligands in homogeneous catalysis and directly in organocatalysis, including recently developed borylation reactions, is now well established. Recently, several examples of ring expansion reactions (RER) involving NHCs were reported to take place at elevated temperatures, involving Be, B, and Si.
Furthermore, preliminary studies in the group of Marder et al. showed the presence of neutral sp2-sp3 diboron compounds with B2pin2 and the NHC Cy2Im. In this work, we focused on the synthesis and characterization of further neutral sp2-sp3 as well as sp3-sp3 diboron adducts with B2cat2 and B2neop2 and different NHCs. Whereas the mono-NHC adduct is stable for several hours at temperatures up to 60 °C, the bis-NHC adducts undergo thermally induced rearrangement to form the ring expanded products compound 26 and 27. B2neop2 is much more reactive than B2cat2 giving ring expanded product 29 at room temperature in quantitative yields, demonstrating that NHC ring expansion and B–B bond cleavage can be very facile processes.
Whereas the mono-NHC adduct is stable for several hours at temperatures up to 60 °C, the bis-NHC adducts undergo thermally induced rearrangement to form the ring expanded products compound 26 and 27. B2neop2 is much more reactive than B2cat2 giving ring expanded product 29 at room temperature in quantitative yields, demonstrating that NHC ring expansion and B–B bond cleavage can be very facile processes.
While teleoperation of technical highly sophisticated systems has already been a wide field of research, especially for space and robotics applications, the automation industry has not yet benefited from its results. Besides the established fields of application, also production lines with industrial robots and the surrounding plant components are in need of being remotely accessible. This is especially critical for maintenance or if an unexpected problem cannot be solved by the local specialists.
Special machine manufacturers, especially robotics companies, sell their technology worldwide. Some factories, for example in emerging economies, lack qualified personnel for repair and maintenance tasks. When a severe failure occurs, an expert of the manufacturer needs to fly there, which leads to long down times of the machine or even the whole production line. With the development of data networks, a huge part of those travels can be omitted, if appropriate teleoperation equipment is provided.
This thesis describes the development of a telemaintenance system, which was established in an active production line for research purposes. The customer production site of Braun in Marktheidenfeld, a factory which belongs to Procter & Gamble, consists of a six-axis cartesian industrial robot by KUKA Industries, a two-component injection molding system and an assembly unit. The plant produces plastic parts for electric toothbrushes.
In the research projects "MainTelRob" and "Bayern.digital", during which this plant was utilised, the Zentrum für Telematik e.V. (ZfT) and its project partners develop novel technical approaches and procedures for modern telemaintenance. The term "telemaintenance" hereby refers to the integration of computer science and communication technologies into the maintenance strategy. It is particularly interesting for high-grade capital-intensive goods like industrial robots. Typical telemaintenance tasks are for example the analysis of a robot failure or difficult repair operations. The service department of KUKA Industries is responsible for the worldwide distributed customers who own more than one robot. Currently such tasks are offered via phone support and service staff which travels abroad. They want to expand their service activities on telemaintenance and struggle with the high demands of teleoperation especially regarding security infrastructure. In addition, the facility in Marktheidenfeld has to keep up with the high international standards of Procter & Gamble and wants to minimize machine downtimes. Like 71.6 % of all German companies, P&G sees a huge potential for early information on their production system, but complains about the insufficient quality and the lack of currentness of data.
The main research focus of this work lies on the human machine interface for all human tasks in a telemaintenance setup. This thesis provides own work in the use of a mobile device in context of maintenance, describes new tools on asynchronous remote analysis and puts all parts together in an integrated telemaintenance infrastructure. With the help of Augmented Reality, the user performance and satisfaction could be raised. A special regard is put upon the situation awareness of the remote expert realized by different camera viewpoints. In detail the work consists of:
- Support of maintenance tasks with a mobile device
- Development and evaluation of a context-aware inspection tool
- Comparison of a new touch-based mobile robot programming device to the former teach pendant
- Study on Augmented Reality support for repair tasks with a mobile device
- Condition monitoring for a specific plant with industrial robot
- Human computer interaction for remote analysis of a single plant cycle
- A big data analysis tool for a multitude of cycles and similar plants
- 3D process visualization for a specific plant cycle with additional virtual information
- Network architecture in hardware, software and network infrastructure
- Mobile device computer supported collaborative work for telemaintenance
- Motor exchange telemaintenance example in running production environment
- Augmented reality supported remote plant visualization for better situation awareness
Modern software is often realized as a modular combination of subsystems for, e. g.,
knowledge management, visualization, verification, or the interaction with users. As
a result, software libraries from possibly different programming languages have to
work together. Even more complex the case is if different programming paradigms
have to be combined. This type of diversification of programming languages and
paradigms in just one software application can only be mastered by mechanisms
for a seamless integration of the involved programming languages. However, the
integration of the common logic programming language Prolog and the popular
object-oriented programming language Java is complicated by various interoperability
problems which stem on the one hand from the paradigmatic gap between the
programming languages, and on the other hand, from the diversity of the available
Prolog systems.
The subject of the thesis is the investigation of novel mechanisms for the integration
of logic programming in Prolog and object–oriented programming in Java. We are
particularly interested in an object–oriented, uniform approach which is not specific
to just one Prolog system. Therefore, we have first identified several important
criteria for the seamless integration of Prolog and Java from the object–oriented
perspective. The main contribution of the thesis is a novel integration framework
called the Connector Architecture for Prolog and Java (CAPJa). The framework is
completely implemented in Java and imposes no modifications to the Java Virtual
Machine or Prolog. CAPJa provides a semi–automated mechanism for the integration
of Prolog predicates into Java. For compact, readable, and object–oriented
queries to Prolog, CAPJa exploits lambda expressions with conditional and relational
operators in Java. The communication between Java and Prolog is based
on a fully automated mapping of Java objects to Prolog terms, and vice versa. In
Java, an extensible system of gateways provides connectivity with various Prolog
system and, moreover, makes any connected Prolog system easily interchangeable,
without major adaption in Java.
This thesis contributes to several issues in the context of SDN and NFV, with an emphasis on performance and management.
The main contributions are guide lines for operators migrating to software-based networks, as well as an analytical model for the packet processing in a Linux system using the Kernel NAPI.
Investigation of Nanostructure-Induced Localized Light Phenomena Using Ultrafast Laser Spectroscopy
(2017)
In recent years, the interaction of light with subwavelength structures, i.e., structures that are smaller than the optical wavelength, became more and more interesting to scientific research, since it provides the opportunity to manipulate light-induced dynamics below the optical diffraction limit. Specifically designed nanomaterials can be utilized to tailor the temporal evolution of electromagnetic fields at the nanoscale. For the investigation of strongly localized processes, it is essential to resolve both their spatial and their temporal behavior. The aim of this thesis was to study and/or control the temporal evolution of three nanostructure-induced localized light phenomena by using ultrafast laser spectroscopy with high spatial resolution.
In Chapter 4, the absorption of near-infrared light in thin-film a-Si:H solar cells was investigated. Using nanotextured instead of smooth interfaces for such devices leads to an increase of absorption from < 20% to more than 50% in the near-infrared regime. Time-resolved experiments with femtosecond laser pulses were performed to clarify the reason for this enhancement. The coherent backscattered radiation from nanotextured solar cell devices was measured as a function of the sample position and evaluated via spectral interferometry. Spatially varying resonance peaks in the recorded spectra indicated the formation of localized photonic modes within the nanotextured absorber layers. In order to identify the modes separately from each other, coherent two-dimensional (2D) nanoscopy was utilized, providing a high spatial resolution < 40 nm. In a nanoscopy measurement on a modified device with an exposed nanotextured a-Si:H absorber layer, hot-spot electron emission was observed and confirmed the presence of localized modes. Fitting the local 2D nanospectra at the hot-spot positions enabled the determination of the resonance frequencies and coherence lifetimes of the modes. The obtained lifetime values varied between 50 fs and 130 fs. Using a thermionic emission model allowed the calculation of the locally absorbed energy density and, with this, an estimation of the localization length of the photonic modes (≈1 μm). The localization could be classified by means of the estimated localization length and additional data evaluation of the backscattered spectra as strong localization ─ the so-called Anderson localization.
Based on the experimental results, it was concluded that the enhanced absorption of near-infrared light in thin-film silicon solar cells with nanotextured interfaces is caused by the formation of strongly localized photonic modes within the disordered absorber layers. The incoming near-infrared light is trapped in these long-living modes until absorption occurs.
In Chapter 5, a novel hybridized plasmonic device was introduced and investigated in both theory and experiment. It consists of two widely separated whispering gallery mode (WGM) nanoantennas located in an elliptical plasmonic cavity. The goal was to realize a periodic long-range energy transfer between the nanoantennas. In finite-difference time-domain (FDTD) simulations, the device was first optimized with respect to strong coupling between the localized antenna modes and the spatially-extended cavity mode. The geometrical parameters of the antennas and the cavity were adjusted separately so that the m="0" antenna mode and the cavity mode were resonant at λ="800 nm" . A high spatial overlap of the modes was achieved by positioning the two antennas in the focal spots of the cavity, leading to a distance between the antenna centers of more than twice the resonant wavelength of the modes. The spectral response of the optimized device revealed an energy splitting of the antenna and the cavity mode into three separated hybridized eigenmodes within an energy range of about 90 meV due to strong coupling. It could be well reproduced by a simple model of three coupled Lorentzian oscillators. In the time domain, an oscillatory energy transfer between both antennas with a period of 86 fs and an energy transfer efficiency of about 7% was observed for single-pulse excitation. For the experiments, devices with cavities and antennas of varying size were fabricated by means of focused-ion-beam (FIB) milling. Time-resolved correlation measurements were performed with high spatial and temporal resolution by using sequences of two femtosecond laser pulses for excitation and photoemission electron microscopy (PEEM) for detection. Local correlation traces at antennas in resonant devices, i.e., devices with enhanced electron emission at both antenna positions, were investigated and reconstructed by means of the coupled-oscillator model. The corresponding spectral response revealed separated peaks, confirming the formation of hybridized eigenmodes due to strong coupling. In a subsequent simulation for single-pulse excitation, one back-and-forth energy transfer between both antennas with an energy transfer efficiency of about 10% was observed.
Based on the theoretical and experimental results, it was demonstrated that in the presented plasmonic device a periodic long-range energy transfer between the two nanoantennas is possible. Furthermore, the coupled-oscillator model enables one to study in depth how specific device properties impact the temporal electric-field dynamics within the device. This can be exploited to further optimize energy transfer efficiency of the device. Future applications are envisioned in ultrafast plasmonic nanocircuitry. Moreover, the presented device can be employed to realize efficient SPP-mediated strong coupling between widely separated quantum emitters.
In Chapter 6, it was investigated in theory how the local optical chirality enhancement in the near field of plasmonic nanostructures can be optimized by tuning the far-field polarization of the incident light. An analytic expression was derived that enables the calculation of the optimal far-field polarizations, i.e., the two far-field polarizations which lead to the highest positive and negative local optical chirality, for any given nanostructure geometry. The two optimal far-field polarizations depend on the local optical response of the respective nanostructure and thus are functions of both the frequency ω and the position r. Their ellipticities differ only in their sign, i.e., in their direction of rotation in the time domain, and the angle between their orientations, i.e., the angle between the principal axes of their ellipses, is ±π/"2" . The handedness of optimal local optical chirality can be switched by switching between the optimal far-field polarizations. In numerical simulations, it was exemplarily shown for two specific nanostructure assemblies that the optimal local optical chirality can significantly exceed the optical chirality values of circularly polarized light in free space ─ the highest possible values in free space. The corresponding optimal far-field polarizations were different from linear and circular and varied with frequency. Using femtosecond polarization pulse shaping provides the opportunity to coherently control local optical chirality over a continuous frequency range. Furthermore, symmetry properties of nanostructures can be exploited to determine which far-field polarization is optimal.
The theoretical findings can have impact on future experimental studies about local optical chirality enhancement. Tuning the far-field polarization of the incident light offers a promising tool to enhance chirally specific interactions of local electromagnetic fields with molecular and other quantum systems in the vicinity of plasmonic nanostructures. The presented approach can be utilized for applications in chiral sensing of adsorbed molecules, time-resolved chirality-sensitive spectroscopy, and chiral quantum control.
In conclusion, each of the localized light phenomena that were investigated in this thesis ─ the enhanced local absorption of near-infrared light due to the formation of localized photonic modes, the periodic long-range energy transfer between two nanoantennas within an elliptical plasmonic cavity, and the optimization of local optical chirality enhancement by tuning the far-field polarization of the incident light ─ can open up new perspectives for a variety of future applications.
.
The Minimal Self
(2017)
The aim of The Minimal Self is to undertake a conceptual analysis of the term ‘self’ and thereby establish the minimal conditions that must be met to ascribe selfhood to an entity. This conceptual analysis focuses on what is termed ‘intrinsic reflexivity’, which is taken as the defining feature of selfhood. Three underlying categories of intrinsic reflexivity are distinguished: self-maintenance, self-reproduction and self-containment. These three fundamental categories provide a framework within which it is possible to distinguish entities that can be designated ‘selves’ from entities that are merely ‘self-like’, thus establishing the logical preconditions for the ‘emergence’ of selfhood. By examining the fuzzy borderlines between selves and the merely self-like as manifest in phenomena such as dissipative systems, genetic material, viruses and bacteria, it becomes possible to ascertain a form of ‘minimal selfhood’, a mode of being shared by all selves qua selves. Free-living single-celled organisms such as protozoa are paradigmatic instances of minimal selfhood to the extent that they can be characterized in terms of the three intrinsically reflexive processes of self-maintenance, self-reproduction and self-containment. Minimal selfhood is also presupposed by more complex multicellular selves such as animals. Such an analysis is found to shed light on the origin of life and on the nature of organisms and biological individuals.
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.
An explicit Runge-Kutta discontinuous Galerkin (RKDG) method is used to device numerical schemes for both the compressible Euler equations of gas dynamics and the ideal magneto- hydrodynamical (MHD) model. These systems of conservation laws are known to have discontinuous solutions. Discontinuities are the source of spurious oscillations in the solution profile of the numerical approximation, when a high order accurate numerical method is used. Different techniques are reviewed in order to control spurious oscillations. A shock detection technique is shown to be useful in order to determine the regions where the spurious oscillations appear such that a Limiter can be used to eliminate these numeric artifacts. To guarantee the positivity of specific variables like the density and the pressure, a positivity preserving limiter is used. Furthermore, a numerical flux, proven to preserve the entropy stability of the semi-discrete DG scheme for the MHD system is used. Finally, the numerical schemes are implemented using the deal.II C++ libraries in the dflo code. The solution of common test cases show the capability of the method.
Synthesis of Dualsteric Ligands for Muscarinic Acetylcholine Receptors and Cholinesterase Inhibitors
(2017)
The study is dealing with the synthesis and pharmacological investigation of newly designed dualsteric ligands of muscarinic acetylcholine receptors belonging to the superfamily of G protein-coupled receptors. Such bipharmacophoric ligands combine the advantages of the orthosteric binding site (high-affinity) and of the topographically distinct allosteric binding site (subtype-selectivity) resulting in compounds with reduced side effects. This opens the way to a new therapeutic approach in the treatment of e.g. chronic pain, drug withdrawal, Parkinson`s and Alzheimer`s disease. Furthermore, the newly synthesized dualsteric compounds were pharmacologically investigated in order to get a better understanding of the activation and signaling processes in muscarinic acetylcholine receptors, especially with regard to partial agonism.
The development of the “dynamic ligand binding” concept offers new perspectives for ligand binding and signaling at G protein-coupled receptors. GPCRs are no longer considered as simple on/off switches. Dualsteric ligands can bind in a dualsteric pose, reflecting an active receptor state as well as in a purely allosteric binding pose, characterized by an inactive receptor state resulting in partial agonism. The degree of partial agonism depends on the ratio of active versus inactive receptor populations. On this basis, orthosteric/orthosteric hybrid ligands consisting of the antagonist atropine and scopolamine, respectively, as well as of the agonist iperoxo and isoxazole, respectively, linked via different alkyl chain length were synthesized in order to investigate partial agonism (Figure 1).
Figure 1: Structures of the synthesized iperoxo/isoxazole-atropine/scopolamine-hybrids.
Furthermore, different sets of quaternary and tertiary homodimers consisting either of two iperoxo or two acetylcholine units were synthesized in order to study their extent on partial agonism (Figure 2). The two agonists were connected by varying alkyl chain length. Binding studies on CHO-hM2 cells of the quaternary compounds revealed that dimerization of the agonist results in a loss of potency. The iperoxo-dimers reached higher maximum effects on the Gi- as well as on the Gs pathway in comparison to the acetylcholine-dimers. Besides the choice of the orthosteric building block (potency of the agonist), the alkyl chain length is also crucial for the degree of partial agonism.
Figure 2: Structures of the synthesized quat./tert. iperoxo/acetylcholine-homodimers.
Quinolone-based hybrids connected to the superagonist iperoxo and to the endogenous ligand acetylcholine, respectively, linked through an alkyl chain of different length were synthesized in order to develop further partial agonists (Figure 3). FRET studies confirmed M1 subtype-selectivity as well as linker dependent receptor response. The greatest positive FRET signal was observed with quinolone-C6-iper resulting from a positive cooperativity between the two separated moieties, alloster and orthoster. However, the corresponding hybrids with a longer linker led to an inverse FRET signal indicating a different binding mode, e.g. purely allosteric, in contrast to the shorter linked hybrids. Furthermore, the flexible alkyl spacer was replaced by a rigidified linker resulting in the hybrid quinolone-rigid-iperoxo (Figure 3). FRET studies on the M1 receptor showed reduced FRET kinetics, resulting from interactions between the bulky linker and the aromatic lid, located between the orthosteric and allosteric binding site. A bitopic binding mode of the rigidified hybrid is presumed. For further clarity, mutational studies are necessary.
Figure 3: M1-selective hybrid compounds.
Another aim of this work was the design and synthesis of new hybrid compounds, acting as agonists at the M1 and M2 receptor and as inhibitors for AChE and BChE in the context of M. Alzheimer. Several sets of hybrid compounds consisting of different pharmacophoric units (catalytic active site: phthalimide, naphthalimide, tacrine; peripheric anionic site: iperoxo, isoxazole) linked through a polymethylene chain of varying length were synthesized. Tac-C10-iper (Figure 4), consisting of tacrine and the superagonist iperoxo linked by a C10 polymethylene spacer, was found to have excellent anticholinesterase activity for both AChE (pIC50 = 9.81) and BChE (pIC50 = 8.75). Docking experiments provided a structural model to rationalize the inhibitory power towards AChE. Additionally, the tacrine related hybrids showed affinity to the M1 and M2 receptor. Such compounds, addressing more than one molecular target are favorable for multifactorial diseases such as Alzheimer.
Figure 4: Structure of the most active compound regarding anticholinesterase activity.
In summary, the choice of the pharmacophoric units, their connecting point as well as the nature, length, and flexibility of the linker play an important role for the activity of designed bivalent ligands. A shorter linker length cannot bridge both binding sites simultaneously in contrast to longer linker chains. On the other hand, too long linker chains can result in unwanted steric interactions. Further investigations with respect to structural variations of hybrid compounds, with or without quaternary ammonium groups, are necessary in the light of drug development.
Optogenetics is a method to control the cell activity with light by expression of a natural or engineered photoreceptor via genetic modification technology. Optogenetics early success came with the light-gated cation channel "Channelrhodopsin-2" in neurons and expanded from neuroscience to other research fields such as cardiac research and cell signaling, also due to the enrichment by new photoreceptors. In this study, I focus on searching and characterizing new photoreceptors to expand the optogenetic tool box. In this work I characterize three newly discovered microbial rhodopsins and some engineered mutants of them.
The first rhodopsin is a proton pump from the diatom Fragilariopsis cylindrus, Fragilariopsis Rhodopsin or abbreviated: FR. I cloned the full-length FR and proved it to be a light-activated proton pump with high efficacy in comparison to Bacteriorhodopsin (BR). During this study, I also developed a new method to improve the plasma membrane targeting of several microbial rhodopsins. I also obtained a FR mutant (channel-like FR or chFR) which behaves like a light-gated proton channel. FR can be used for optogenetic hyperpolarization or alkalization of a cell while the chFR could be used for depolarization or lowering of the cellular pH. The induction of FR expression under iron-limited conditions in the diatom indicated an alternative energy generation mechanism of F. cylindrus when iron-containing enzymes are scarce.
I then characterized a new microbial rhodopsin with novel light-regulated Guanylyl Cyclase (GC) activity. This rhodopsin guanylyl cyclase from the fungus Blastocladiella emersonii (B.e. CyclaseOpsin or BeCyclOp) has been proven by me to be an efficient light-gated GC with high specificity and fast kinetics. BeCyclOp also has a novel structure with eight transmembrane helices, containing a long cytosolic N-terminus which participates in the tight regulation of the GC activity. In collaboration with Prof. Alexander Gottschalk (Univ. Frankfurt/M.), BeCyclOp has been tested in muscle cells and sensory neurons of Caenorhabditis elegans and proven to be a powerful optogenetic tool in a living animal. I also generated a BeCyclOp mutant with enhanced light sensitivity.
Already more than ten years ago, guanylyl cyclase rhodopsins were suggested to exist in Chlamydomonas reinhardtii by analyzing genomic sequence data. But until now no functional proof existed. By further cloning and sequencing I discovered such a rhodopsin with light-regulated guanylyl cyclase activity. This functional Cyclaseopsin (COP6c) is quite different to BeCyclOp, as it was proven to be a light-inhibited GC. Cop6c is much larger than BeCyclOp with a His-Kinase and a response regulator domain between the rhodopsin and the cyclase domain.
I also introduced a new strategy for generating optogenetic tools by fusing the photoactivated adenylyl cyclase bPAC to two different CNG channels. These new tools function via light-gated cAMP production and subsequent CNG channel activation. These tools combined the properties of bPAC (highly sensitive to blue light) and CNG channels (high single-channel conductance and high Ca2+ permeability), as demonstrated by expression in Xenopus oocytes. As a further benefit the fusing of bPAC to CNG channels leads to a bPAC with a more than tenfold reduced dark activity which is a valuable improvement for bPAC itself as an optogenetic tool.