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Breaking inversion symmetry in crystalline solids enables the formation of spin-polarized electronic states by spin-orbit coupling without the need for magnetism. A variety of interesting physical phenomena related to this effect have been intensively investigated in recent years, including the Rashba effect, topological insulators and Weyl semimetals. In this work, the interplay of inversion symmetry breaking and spin-orbit coupling and, in particular their general influence on the character of electronic states, i.e., on the spin and orbital degrees of freedom, is investigated experimentally. Two different types of suitable model systems are studied: two-dimensional surface states for which the Rashba effect arises from the inherently broken inversion symmetry at the surface, and a Weyl semimetal, for which inversion symmetry is broken in the three-dimensional crystal structure. Angle-resolved photoelectron spectroscopy provides momentum-resolved access to the spin polarization and the orbital composition of electronic states by means of photoelectron spin detection and dichroism with polarized light. The experimental results shown in this work are also complemented and supported by ab-initio density functional theory calculations and simple model considerations.
Altogether, it is shown that the breaking of inversion symmetry has a decisive influence on the Bloch wave function, namely, the formation of an orbital angular momentum. This mechanism is, in turn, of fundamental importance both for the physics of the surface Rashba effect and the topology of the Weyl semimetal TaAs.
An enduring engineering problem is the creation of unreliable software leading to unreliable systems. One reason for this is source code is written in a complicated manner making it too hard for humans to review and understand. Complicated code leads to other issues beyond dependability, such as expanded development efforts and ongoing difficulties with maintenance, ultimately costing developers and users more money.
There are many ideas regarding where blame lies in the reation of buggy and unreliable systems. One prevalent idea is the selected life cycle model is to blame. The oft-maligned “waterfall” life cycle model is a particularly popular recipient of blame. In response, many organizations changed their life cycle model in hopes of addressing these issues. Agile life cycle models have become very popular, and they promote communication between team members and end users. In theory, this communication leads to fewer misunderstandings and should lead to less complicated and more reliable code.
Changing the life cycle model can indeed address communications ssues, which can resolve many problems with understanding requirements.
However, most life cycle models do not specifically address coding practices or software architecture. Since lifecycle models do not address the structure of the code, they are often ineffective at addressing problems related to code complicacy.
This dissertation answers several research questions concerning software complicacy, beginning with an investigation of traditional metrics and static analysis to evaluate their usefulness as measurement tools. This dissertation also establishes a new concept in applied linguistics by creating a measurement of software complicacy based on linguistic economy. Linguistic economy describes the efficiencies of speech, and this thesis shows the applicability of linguistic economy to software. Embedded in each topic is a discussion
of the ramifications of overly complicated software, including the relationship of complicacy to software faults. Image recognition using machine learning is also investigated as a potential method of identifying problematic source code.
The central part of the work focuses on analyzing the source code of hundreds of different projects from different areas. A static analysis was performed on the source code of each project, and traditional software metrics were calculated. Programs were also analyzed using techniques developed by linguists to measure expression and statement complicacy and identifier complicacy. Professional software engineers were also directly surveyed to understand mainstream perspectives.
This work shows it is possible to use traditional metrics as indicators of potential project bugginess. This work also discovered it is possible to use image recognition to identify problematic pieces of source code. Finally, this work discovered it is possible to use linguistic methods to determine which statements and expressions are least desirable and more complicated for programmers.
This work’s principle conclusion is that there are multiple ways to discover traits indicating a project or a piece of source code has characteristics of being buggy. Traditional metrics and static analysis can be used to gain some understanding of software complicacy and bugginess potential. Linguistic economy demonstrates a new tool for measuring software complicacy, and machine learning can predict where bugs may lie in source code. The significant implication of this work is developers can recognize when a project is becoming buggy and take practical steps to avoid creating buggy projects.
To investigate trabeculopuncture (TP) for predicting the outcome of ab interno trabeculectomy (AIT). Ex vivo porcine anterior segments were perfused and sequentially underwent two procedures, TP and AIT. We concluded that a 10% reduction in IOP after TP can be used to predict the success (>20% IOP decrease) of AIT in porcine eyes. As porcine eyes share many similarities with human eyes, our findings may have implications on the validity of this test as a predictor for surgical outcomes of AITs in humans.
Purpose: The threat of national and international terrorism remains high. Preparation is the key requirement for the resilience of hospitals and out-of-hospital rescue forces. The scientific evidence for defining medical and tactical strategies often feeds on the analysis of real incidents and the lessons learned derived from them. This systematic review of the literature aims to identify and systematically report lessons learned from terrorist attacks since 2001.
Methods: PubMed was used as a database using predefined search strategies and eligibility criteria. All countries that are part of the Organization for Economic Cooperation and Development (OECD) were included. The time frame was set between 2001 and 2018.
Results: 68 articles were included in the review. From these, 616 lessons learned were extracted and summarized into 15 categories. The data shows that despite the difference in attacks, countries, and casualties involved, many of the lessons learned are similar. We also found that the pattern of lessons learned is repeated continuously over the time period studied.
Conclusions: The lessons from terrorist attacks since 2001 follow a certain pattern and remained constant over time. Therefore, it seems to be more accurate to talk about lessons identified rather than lessons learned. To save as many victims as possible, protect rescue forces from harm, and to prepare hospitals at the best possible level it is important to implement the lessons identified in training and preparation.
1 Summary
Left ventricular (LV) ejection fraction (EF) and global longitudinal strain (GLS) are the most commonly used measures of LV function. Yet, they are highly dependent on loading conditions since higher afterload yields lower systolic deformation and thereby a lower LVEF and GLS – despite presumably unchanged LV myocardial contractile strength. Invasive pressure-volume loop measurements represent the reference standard to assess LV function, also considering loading conditions. However, this procedure cannot be used in serial investigations or large sample populations due to its invasive nature. The novel concept of echocardiography-derived assessment of myocardial work (MyW) is based on LV pressure-strain loops, may be a valuable alternative to overcome these challenges, and may also be used with relative ease in large populations. As MyW also accounts for afterload, it is considered less load-dependent than LVEF and GLS.
The current PhD work addresses the application and clinical characterization of MyW, an innovative echocardiographic tool. As the method is new, we focused on four main topics:
(a) To establish reference values for MyW indices, i.e., Global Work Index (GWI), Global Constructive Work (GCW), Global Wasted Work (GWW), and Global Work Efficiency (GWE); we addressed a wide age range and evaluated the association of MyW indices with age, sex and other clinical and echocardiography parameters in apparently cardiovascular healthy individuals.
(b) To investigate the impact of cardiovascular (CV) risk factors on MyW indices and characterize the severity of subclinical LV deterioration in the general population.
(c) To assess the association of the LV geometry, i.e., LV mass and dimensions, with MyW indices.
(d) To evaluate in-hospital dynamics of MyW indices in patients hospitalized for acute heart failure (AHF).
For the PhD thesis, we could make use of two larger cohorts:
The STAAB population-based cohort study prospectively recruited and phenotyped a representative sample (5,000 individuals) of the general population of the City of Würzburg, aged 30-79 years and free from symptomatic heart failure at the time of inclusion. We focused on the first half of the study sample (n=2473 individuals), which fulfilled the anticipated strata regarding age and sex.
The Acute Heart Failure (AHF) Registry is a prospective clinical registry recruiting and phenotyping consecutive patients admitted for decompensated AHF to the Department of Medicine I, University Hospital Würzburg, and observing the natural course of the disease. The AHF Registry focuses on the pathophysiological understanding, particularly in relation to the early phase after cardiac decompensation, with the aim to improve diagnosis and better-tailored treatment of patients with AHF. For the current study, we concentrated on patients who provided pairs of echocardiograms acquired early after index hospital admission and prior to discharge.
The main findings of the PhD thesis were:
From the STAAB cohort study, we determined the feasibility of large-scale MyW derivation and the accuracy of the method. We established reference values for MyW indices based on 779 analyzable, apparently healthy participants (mean age 49 ± 10 years, 59% women), who were in sinus rhythm, free from CV risk factors or CV disease, and had no significant LV valve disease. Apart from GWI, there were no associations of other MyW indices with sex. Further, we found a disparate association with age, where MyW showed stable values until the age of 45 years, with an upward shift occurring beyond the age of 45. A higher age decade was associated with higher GWW and lower GWE, respectively. MyW indices only correlated weakly with common echocardiographic parameters, suggesting that MyW may add incremental information to clinically established parameters.
Further analyses from the STAAB cohort study contributed to a better understanding of the impact of CV risk factors on MyW indices and the association of LV geometry with LV performance. We demonstrated that CV risk factors impacted selectively on GCW and GWW. Hypertension appears to profoundly compromise the work of the myocardium, in particular, by increasing both GCW and GWW. The LV in hypertension seems to operate at a higher energy level yet lower efficiency. Other classical CV risk factors (Diabetes mellitus, Obesity, Dyslipidemia, Smoking) – independent of blood pressure – impacted consistently and adversely on GCW but did not affect GWW. Further, all CV risk factors affected GWE adversely.
We observed that any deviation from a normal LV geometric profile was associated with alterations on MyW. Of note, MyW was sensitive to early changes in LV mass and dimensions. Individuals with normal LV geometry yet established arterial hypertension exhibited a MyW pattern that is typically found in LV hypertrophy. Therefore, such a pattern might serve as an early sign of myocardial damage in hypertensive heart disease and might aid in risk stratification and primary prevention.
From the AHF Registry, we selected individuals with serial in-hospital echocardiograms and described in-hospital changes in myocardial performance during recompensation. In patients presenting with a reduced ejection fraction (HFrEF), decreasing N-terminal pro-natriuretic peptide (NT-proBNP) levels as a surrogate of successful recompensation were associated with an improvement in GCW and GWI and consecutively in GWE. In contrast, in patients presenting with a preserved ejection fraction (HFpEF), there was no significant change in GCW and GWI. However, unsuccessful recompensation, i.e., no change or an increase in NT-proBNP levels, was associated with an increase in GWW. This suggests a differential myocardial response to de- and recompensation depending on the HF phenotype.
Further, GWW as a surrogate of inappropriate LV energy consumption was elevated in all patients with AHF (compared to reference values) and was not associated with conventional markers as LVEF or NT-proBNP. In an exploratory analysis, GWW predicted the risk of death or rehospitalization within six months after discharge. Hence, GWW might carry incremental information beyond conventional markers of HF severity.
LoRaWAN Network Planning in Smart Environments: Towards Reliability, Scalability, and Cost Reduction
(2022)
The goal in this work is to present a guidance for LoRaWAN planning to improve overall reliability for message transmissions and scalability. At the end, the cost component is discussed. Therefore, a five step approach is presented that helps to plan a LoRaWAN deployment step by step: Based on the device locations, an initial gateway placement is suggested followed by in-depth frequency and channel access planning. After an initial planning phase, updates for channel access and the initial gateway planning is suggested that should also be done periodically during network operation. Since current gateway placement approaches are only studied with random channel access, there is a lot of potential in the cell planning phase. Furthermore, the performance of different channel access approaches is highly related on network load, and thus cell size and sensor density. Last, the influence of different cell planning ideas on expected costs are discussed.
Civil society organizations only started to be considered a sector in the 1970s in the United States. Amitai Etzioni pioneered the use of the expression third sector, which became common in academic and political literature. However, in the United States, the non-profit sector concept gradually became more robust and was spread internationally based on the studies conducted by Lester Salomon and associated researchers.
The theory built on the concept of the non-profit sector is strongly related to the North American cultural context, marked by the tradition of philanthropy and volunteerism, but with little importance given to associative and cooperative organizations.
The non-profit sector is implicitly or explicitly conceived as part of the private sphere. In contrast, theoretical currents such as liberal communitarianism, the theories of cooperation, common goods, social capital, European social economy, and the Latin American solidarity economy highlight the primacy of cooperation in solving collective problems. These theories underpin the associative approach of the third sector and link it to the community, not to the market.
This paper argues that the associative approach is more appropriate for international studies on the third sector and the relevance of self-organization. The third sector, i.e., the set of organizations created and maintained by civil society, is the inheritor of the millennial associative tradition, including both entities whose values are compatible with the common good and those with particularistic values, authoritarian and contrary to human rights. The third sector is not entirely virtuous, but it is a vital sector for solving great human problems.
Lightning has fascinated humanity since the beginning of our existence. Different types of lightning like sprites and blue jets were discovered, and many more are theorized. However, it is very likely that these phenomena are not exclusive to our home planet. Venus’s dense and active atmosphere is a place where lightning is to be expected. Missions like Venera, Pioneer, and Galileo have carried instruments to measure electromagnetic activity. These measurements have indeed delivered results. However, these results are not clear. They could be explained by other effects like cosmic rays, plasma noise, or spacecraft noise. Furthermore, these lightning seem different from those we know from our home planet. In order to tackle these issues, a different approach to measurement is proposed. When multiple devices in different spacecraft or locations can measure the same atmospheric discharge, most other explanations become increasingly less likely. Thus, the suggested instrument and method of VELEX incorporates multiple spacecraft. With this approach, the question about the existence of lightning on Venus could be settled.
The first step towards aerial planetary exploration has been made. Ingenuity shows extremely promising results, and new missions are already underway. Rotorcraft are capable of flight. This capability could be utilized to support the last stages of Entry, Descent, and Landing. Thus, mass and complexity could be scaled down.
Autorotation is one method of descent. It describes unpowered descent and landing, typically performed by helicopters in case of an engine failure. MAPLE is suggested to test these procedures and understand autorotation on other planets. In this series of experiments, the Ingenuity helicopter is utilized. Ingenuity would autorotate a ”mid-air-landing” before continuing with normal flight. Ultimately, the collected data shall help to understand autorotation on Mars and its utilization for interplanetary exploration.
We attempt to identify sequences of signaling dialogs, to strengthen our understanding of the signaling behavior of IoT devices by examining a dataset containing over 270.000 distinct IoT devices whose signaling traffic has been observed over a 31-day period in a 2G network [4]. We propose a set of rules that allows the assembly of signaling dialogs into so-called sessions in order to identify common patterns and lay the foundation for future research in the areas of traffic modeling and anomaly detection.
This work proposes a novel approach to disperse dense transmission intervals and reduce bursty traffic patterns without the need for centralized control. Furthermore, by keeping the mechanism as close to the Long Range Wide Area Network (LoRaWAN) standard as possible the suggested mechanism can be deployed within existing networks and can even be co-deployed with other devices.
This document presents a networking latency measurement setup that focuses on affordability and universal applicability, and can provide sub-microsecond accuracy. It explains the prerequisites, hardware choices, and considerations to respect during measurement. In addition, it discusses the necessity for exhaustive latency measurements when dealing with high availability and low latency requirements. Preliminary results show that the accuracy is within ±0.02 μs when used with the Intel I350-T2 network adapter.
A series of monomeric chirally substituted indolenine squaraine monomers were successfully synthesized and utilized for the construction of various oligo- and polymers, in order to study their chiroptical properties in terms of exciton chirality. The quaternary carbon atom at the 3-position of the indolenine subunit, as well as the alkyl side chain attached to the indolenine nitrogen were selected as the most suitable site for chiral functionalization.
For the C(3)-chiral derivatives, two synthetic routes depending on the desired substitution at the stereogenic center were established. The chiral side chains were prepared via Evans asymmetric alkylation where the resulting branching point at the 2 position constituted the chiral center. While the chiral substitution only had minor effects on the linear optical properties and geometric structure of the chromophore, all compounds exhibited a distinct and measurable CD signal that correlated with the distance of the chiral center to the central chromophore.
Polymers bearing chiral side chains exhibited a solvent- and temperature-dependent helix-coil equilibrium, which was influenced by the type of side chain used. CD spectroscopy revealed the helical conformation to possess a preferred twist sense, and temperature-dependent measurements showed the degree of homohelicity to be nearly complete in certain cases. Furthermore, a CPL signal was able to be obtained for the helical conformer of one polymer.
Various (co)oligo- and polymers comprising the C(3)-chiral monomers only displayed a solvent-independent J-type absorption behavior and thus did not form helical conformations in solution. CD spectroscopy revealed a solvent-dependent adoption of quasi-enantiomeric conformers, which was elucidated by quantum chemical TDDFT calculations.
With the miniaturization of satellites a fundamental change took place in the space industry. Instead of single big monolithic satellites nowadays more and more systems are envisaged consisting of a number of small satellites to form cooperating systems in space. The lower costs for development and launch as well as the spatial distribution of these systems enable the implementation of new scientific missions and commercial services.
With this paradigm shift new challenges constantly emerge for satellite developers, particularly in the area of wireless communication systems and network protocols.
Satellites in low Earth orbits and ground stations form dynamic space-terrestrial networks. The characteristics of these networks differ fundamentally from those of other networks.
The resulting challenges with regard to communication system design, system analysis, packet forwarding, routing and medium access control as well as challenges concerning the reliability and efficiency of wireless communication links are addressed in this thesis.
The physical modeling of space-terrestrial networks is addressed by analyzing existing satellite systems and communication devices, by evaluating measurements and by implementing a simulator for space-terrestrial networks.
The resulting system and channel models were used as a basis for the prediction of the dynamic network topologies, link properties and channel interference. These predictions allowed for the implementation of efficient routing and medium access control schemes for space-terrestrial networks. Further, the implementation and utilization of software-defined ground stations is addressed, and a data upload scheme for the operation of small satellite formations is presented.
Hard X-ray Properties of Relativistically Beamed Jets from Radio- and Gamma-Ray-Bright Blazars
(2022)
In this work I characterize the hard X-ray properties of blazars, active galactic nuclei with highly beamed emission, which are notoriously hard to detect in this energy range. I employ pre-defined samples of beamed AGN: the radio-selected MOJAVE and TANAMI samples, as well as the most recent gamma-ray-selected Fermi/LAT 4LAC catalog. The hard X-ray data is extracted from the 105-month all-sky survey maps of the Swift/BAT (Burst Alert Telescope) in the energy band of 20 keV to 100 keV. A great majority of both the MOJAVE and TANAMI samples are significantly detected, with signal-to noise ratios of the sources often just below the X-ray catalog signal thresholds. All blazar sub-types (FSRQs, BL Lacs) and radio galaxies show characteristic ranges of X-ray flux, luminosity, and photon index. Their properties are correlated with the corresponding SED's shape / peak frequency. The LogN-LogS distributions of the samples show a scarcity of blazars in the middle and lower X-ray flux range, indicating differing evolutionary paths between radio and X-ray emission, which is also suggested by the corresponding luminosity functions. Compared to the radio samples, the 4LAC sources are on average significantly less bright in the BAT band since this range often coincides with the spectral gap region between the two big SED emission bumps. Also, the spectral shapes differ notably, especially for the sub-type of BL Lacs. Using the parameter space of X-ray and gamma-ray photon indices, 35 blazar candidate sources can be assigned to either the FSRQ or BL Lac type with high certainty. The reason why many blazars are weak in this energy band can be traced back to a number of factors: the selection bias of the initial sample, differential evolution of the X-rays and the wavelengths in which the sample is defined, and the limited sensitivity of the observing instruments.
This thesis studies connections between quantum information measures and geometric features of spacetimes within the AdS/CFT correspondence. These studies are motivated by the idea that spacetime can be thought of as an effect emerging from an underlying entanglement structure in the AdS/CFT correspondence. In particular, I study generalized entanglement measures in two-dimensional conformal field theories and their holographic duals. Unlike the ordinary entanglement entropy of a spatial subregion typically used in the AdS/CFT context, the generalization considered here measures correlations between different fields as well as between spatial degrees of freedom. I present a new gauge invariant definition of the generalized entanglement entropy applicable to both mixed and pure states as well as explicit results for thermal states of the S_N-orbifold theory of the D1/D5 system. Along the way, I develop computation techniques for conformal blocks on the torus and apply them to the calculation of the ordinary entanglement entropy for large central charge CFTs at finite size and finite temperature. The generalized Ryu-Takayanagi formula arising from these studies provides further support for the idea that entanglement and geometry are intrinsically linked in AdS/CFT. The results show that the holographic dual to the generalized entanglement entropy given by the length of a geodesic winding around black hole horizons or naked singularities probes subregions of spacetime that are inaccessible to Ryu-Takayanagi surfaces, thereby solving the puzzle of how these features of the spacetime are encoded in the boundary theory. Furthermore, I investigate quantum circuits embedded in two-dimensional conformal field theories as well as computational complexity measures therein. These investigations are motivated by conjectures relating computational complexity in conformal field theories to geometric features of black hole geometries. In this thesis, I study quantum circuits built up from conformal transformations. I investigate examples of computational complexity measures in these circuits related to geometric actions on coadjoint orbits of the Virasoro group and to the Fubini-Study metric. I then work out relations between these computational complexity measures and the dual gravitational theory. Moreover, I construct a bulk dual to the circuits in consideration and use this construction to study geometric realizations of computational complexity measures from first principles. The results of this part on the one hand rule out some possibilities for dual realizations of computational complexity in two-dimensional CFTs put forward in previous work while on the other hand providing a new robust dual realization of a computational complexity measure based on the Fubini-Study distance.
Anxiety research is one of the major psychological research domains and looks back on decades of research activity. Traditionally, novel theories and approaches are tested utilizing animal models. One way to study inherent anxiety in rodents is the elevated plus-maze (EPM). The EPM is a plus-shaped platform with two closed, i.e., walled, arms and two open unwalled arms. If given the opportunity to freely explore the apparatus, rodents instinctively avoid the open arms to protect themselves from predators. Hence, they spent less time on open and more time on closed arms, which is behaviorally associated with general anxiety. In the course of the pharmacological validation, it was found that this exploratory pattern can be reversed by anxiolytic substances, e.g., benzodiazepines, or potentiated by anxiogenics. One of the significant advantages of the EPM is that no prior training session is required in contrast to conditioning studies, thus allowing to observe natural behavior. Therefore, together with the economic and uncomplicated setup, the EPM has become a standard preclinical rodent anxiety test over the decades. In order to validate these rodent anxiety tests, there have recently been attempts to retranslate them to humans. A paramount of cross-species validation is not only the simple transferability of these animal tests but also the observation of anxiety behaviors that are evolutionarily conserved across species. Accordingly, it could be possible to conclude various factors associated with the etiology and maintenance of anxiety disorders in humans. So far, convincing translations of the EPM to humans are still lacking. For that reason, the primary aim of this dissertation is to retranslate the EPM throughout three studies and to evaluate cross-species validity critically. Secondly, the undertaken studies are set out to observe ambulatory activity equivalent to rodent EPM behavior, i.e., open arm avoidance. Thirdly, the undertaken studies aimed to assess the extent to which trait anxiety influences human exploratory activity on the platform to associate it with the assumption that rodent EPM-behavior is a reflection of general anxiety. Finally, virtual reality (VR) was the method of choice to maintain the economic advantage and adjust the EPM size to humans. Study 1 (N = 30) was set up to directly transfer the rodent EPM regarding test design and experimental procedure using a Computer Automatic Virtual Environment (CAVE). The results revealed that humans unlike rodents display a general open arms approach during free exploration. However, open arm avoidance was associated with high trait anxiety and acrophobia (fear of height), which was initially assessed as a control variable due to the virtual platform height. Regression analyses and subjective anxiety ratings hinted at a more significant influence of acrophobia on open arm avoidance. In addition, it was assumed that the open arms approach might have resulted from claustrophobic tendencies experienced in the closed arms due to the high walls. Study 2 (N = 61) sought to differentiate the influence of trait anxiety and acrophobia and adapt the virtual EPM to humans. Therefore, parts of the platform held a semi-transparent grid-floor texture, and the wall height on the closed arms was reduced to standard handrail level. Moreover, participants were priorly screened to exclude clinically significant levels of acrophobia, claustrophobia, and agoraphobia. The data on general exploratory activity showed no arm preference. Regression analyses confirmed that acrophobia is related to open arm avoidance, corroborating the finding of Study 1. Surprisingly, for trait anxiety, the result of Study 1 could not be replicated. Instead, for trait anxiety, no significant effect was found indicating that predominantly fear of heights shapes human EPM behavior even on a subclinical stage. In Study 3 (N = 57), the EPM was embedded into a city setting to 1) create a more natural human environment and 2) eliminate height. Furthermore, a head-mounted display was utilized for VR presentation, and arousal ratings were introduced. Participants were screened for high and low levels of trait anxiety and agoraphobia, and claustrophobia. Replicating the findings of Study 2, no difference in open and closed arm activity was observed, and no effect was found in relationship with trait anxiety. The data on anxiety ratings and claustrophobia suggest a positive correlation indicating that in this city EPM, claustrophobic tendencies might play a role in closed arm avoidance. In summary, this thesis added valuable insights into the retranslation of a well-established standard anxiety test used in rodents. However, it also majorly challenges current findings on the cross-species validity of the EPM. Various explanatory models for the results are critically discussed and associated with clinical implications concerning future research.
Wilms tumor (WT) is the most common renal tumor in childhood. Among others, MYCN copy number gain and MYCN P44L and MAX R60Q mutations have been identified in WT. The proto-oncogene MYCN encodes a transcription factor that requires dimerization with MAX to activate transcription of numerous target genes. MYCN gain has been associated with adverse prognosis. The MYCN P44L and MAX R60Q mutations, located in either the transactivating or basic helix-loop-helix domain, respectively, are predicted to be damaging by different pathogenicity prediction tools. These mutations have been reported in several other cancers and remain to be functionally characterized.
In order to further describe these events in WT, we screened both mutations in a large cohort of unselected WT patients, to check for an association of the mutation status with certain histological or clinical features. MYCN P44L and MAX R60Q revealed frequencies of 3 % and 0.9 % and also were significantly associated to higher risk of relapse and metastasis, respectively. Furthermore, to get a better understanding of the MAX mutational landscape in WT, over 100 WT cases were analyzed by Sanger sequencing to identify other eventual MAX alterations in its coding sequence. R60Q remained the only MAX CDS alteration described in WT to date.
To analyze the potential functional consequences of these mutations, we used a doxycycline-inducible system to overexpress each mutant in HEK293 cells. This biochemical characterization identified a reduced transcriptional activation potential for MAX R60Q, while the MYCN P44L mutation did not change activation potential or protein stability. The protein interactome of N-MYC-P44L was likewise not altered as shown by mass spectrometric analyses of purified N-MYC complexes. However, we could identify a number of novel N-MYC partner proteins, several of these known for their oncogenic potential. Their correlated expression in WT samples suggested a role in WT oncogenesis and they expand the range of potential biomarkers for WT stratification and targeting, especially for high-risk WT.
To safely navigate their environment, flying insects rely on visual cues, such as optic flow. Which cues insects can extract from their environment depends closely on the spatial and temporal response properties of their visual system. These in turn can vary between individuals that differ in body size. How optic flow-based flight control depends on the spatial structure of visual cues, and how this relationship scales with body size, has previously been investigated in insects with apposition compound eyes. Here, we characterised the visual flight control response limits and their relationship to body size in an insect with superposition compound eyes: the hummingbird hawkmoth Macroglossum stellatarum. We used the hawkmoths' centring response in a flight tunnel as a readout for their reception of translational optic flow stimuli of different spatial frequencies. We show that their responses cut off at different spatial frequencies when translational optic flow was presented on either one, or both tunnel walls. Combined with differences in flight speed, this suggests that their flight control was primarily limited by their temporal rather than spatial resolution. We also observed strong individual differences in flight performance, but no correlation between the spatial response cutoffs and body or eye size.
At the beginning of their foraging careers, Cataglyphis desert ants calibrate their compass systems and learn the visual panorama surrounding the nest entrance. For that, they perform well-structured initial learning walks. During rotational body movements (pirouettes), naïve ants (novices) gaze back to the nest entrance to memorize their way back to the nest. To align their gaze directions, they rely on the geomagnetic field as a compass cue. In contrast, experienced ants (foragers) use celestial compass cues for path integration during food search. If the panorama at the nest entrance is changed, foragers perform re-learning walks prior to heading out on new foraging excursions. Here, we show that initial learning walks and re-learning walks are structurally different. During re-learning walks, foragers circle around the nest entrance before leaving the nest area to search for food. During pirouettes, they do not gaze back to the nest entrance. In addition, foragers do not use the magnetic field as a compass cue to align their gaze directions during re-learning walk pirouettes. Nevertheless, magnetic alterations during re-learning walks under manipulated panoramic conditions induce changes in nest-directed views indicating that foragers are still magnetosensitive in a cue conflict situation.
Objectives
Vessel wall enhancement (VWE) may be commonly seen on MRI images of asymptomatic subjects. This study aimed to characterize the VWE of the proximal internal carotid (ICA) and vertebral arteries (VA) in a non-vasculitic elderly patient cohort.
Methods
Cranial MRI scans at 3 Tesla were performed in 43 patients (aged ≥ 50 years) with known malignancy for exclusion of cerebral metastases. For vessel wall imaging (VWI), a high-resolution compressed-sensing black-blood 3D T1-weighted fast (turbo) spin echo sequence (T1 CS-SPACE prototype) was applied post gadolinium with an isotropic resolution of 0.55 mm. Bilateral proximal intradural ICA and VA segments were evaluated for presence, morphology, and longitudinal extension of VWE.
Results
Concentric VWE of the proximal intradural ICA was found in 13 (30%) patients, and of the proximal intradural VA in 39 (91%) patients. Mean longitudinal extension of VWE after dural entry was 13 mm in the VA and 2 mm in the ICA. In 14 of 39 patients (36%) with proximal intradural VWE, morphology of VWE was suggestive of the mere presence of vasa vasorum. In 25 patients (64 %), morphology indicated atherosclerotic lesions in addition to vasa vasorum.
Conclusions
Vasa vasorum may account for concentric VWE within the proximal 2 mm of the ICA and 13 mm of the VA after dural entry in elderly subjects. Concentric VWE in these locations should not be confused with large artery vasculitis. Distal to these segments, VWE may be more likely related to pathologic conditions such as vasculitis.
X-ray dark-field imaging allows to resolve the conflict between the demand for centimeter scaled fields of view and the spatial resolution required for the characterization of fibrous materials structured on the micrometer scale. It draws on the ability of X-ray Talbot interferometers to provide full field images of a sample's ultra small angle scattering properties, bridging a gap of multiple orders of magnitude between the imaging resolution and the contrasted structure scale. The correspondence between shape anisotropy and oriented scattering thereby allows to infer orientations within a sample's microstructure below the imaging resolution. First demonstrations have shown the general feasibility of doing so in a tomographic fashion, based on various heuristic signal models and reconstruction approaches. Here, both a verified model of the signal anisotropy and a reconstruction technique practicable for general imaging geometries and large tensor valued volumes is developed based on in-depth reviews of dark-field imaging and tomographic reconstruction techniques.
To this end, a wide interdisciplinary field of imaging and reconstruction methodologies is revisited. To begin with, a novel introduction to the mathematical description of perspective projections provides essential insights into the relations between the tangible real space properties of cone beam imaging geometries and their technically relevant description in terms of homogeneous coordinates and projection matrices. Based on these fundamentals, a novel auto-calibration approach is developed, facilitating the practical determination of perspective imaging geometries with minimal experimental constraints. A corresponding generalized formulation of the widely employed Feldkamp algorithm is given, allowing fast and flexible volume reconstructions from arbitrary tomographic imaging geometries. Iterative reconstruction techniques are likewise introduced for general projection geometries, with a particular focus on the efficient evaluation of the forward problem associated with tomographic imaging. A highly performant 3D generalization of Joseph's classic linearly interpolating ray casting algorithm is developed to this end and compared to typical alternatives. With regard to the anisotropic imaging modality required for tensor tomography, X-ray dark-field contrast is extensively reviewed. Previous literature is brought into a joint context and nomenclature and supplemented by original work completing a consistent picture of the theory of dark-field origination. Key results are explicitly validated by experimental data with a special focus on tomography as well as the properties of anisotropic fibrous scatterers. In order to address the pronounced susceptibility of interferometric images to subtle mechanical imprecisions, an efficient optimization based evaluation strategy for the raw data provided by Talbot interferometers is developed. Finally, the fitness of linear tensor models with respect to the derived anisotropy properties of dark-field contrast is evaluated, and an iterative scheme for the reconstruction of tensor valued volumes from projection images is proposed. The derived methods are efficiently implemented and applied to fiber reinforced plastic samples, imaged at the ID19 imaging beamline of the European Synchrotron Radiation Facility. The results represent unprecedented demonstrations of X-ray dark-field tensor tomography at a field of view of 3-4cm, revealing local fiber orientations of both complex shaped and low-contrast samples at a spatial resolution of 0.1mm in 3D. The results are confirmed by an independent micro CT based fiber analysis.
Dual RNA-seq captures both host and pathogen transcriptomes at the site of infection, facilitating an exploration of processes that play an essential role in pathogenesis and the host defense. This work presents an application of this technique to explore processes occurring during the infection of the human endothelial cells with two clinical isolates of Orientia tsutsugamushi (Ot) — the causative agent of scrub typhus. Combining comparative genomics, transcriptomics, and proteomics, we investigated the transcriptional architecture of Ot and identified non-coding RNAs, operon structures, and widespread antisense transcription, that may have a role in regulation of repetitive genes that are abundant in the Ot genome. In addition, the comparative analysis of bacterial and eukaryotic transcriptomes allowed us to investigate factors that drive the difference in virulence between Karp and UT176 and the host response to these two Ot strains.
The host and pathogen transcriptional profiles in each dual RNA-seq study are obtained in‑silico by adopting tools developed for RNA-seq data analysis. The Dualrnaseq pipeline presented in the second part of this work is the first publicly available, highly reproducible, scalable, and user‑friendly workflow developed for processing dual RNA‑seq data of any eukaryotic and bacterial organisms with a reference genome and annotation. It provides three mapping and quantification strategies: (i) alignment-based mapping of reads onto the chimeric genome with STAR followed by counting of uniquely mapped reads with HTSeq; (ii) a fast transcriptome quantification method handling multi‑mapped reads (Salmon with Selective Alignment); (iii) and Salmon alignment-based mode which uses a STAR‑derived alignment combined with Salmon quantification. Performing an initial benchmark analysis of the employed methods we provided recommendations ensuring accurate estimation of host and pathogen transcript expression.
Aim
Recent advancements in PET technology have brought with it significant improvements in PET performance and image quality. In particular, the extension of the axial field of view of PET systems, and the introduction of semiconductor technology into the PET detector, initially for PET/MR, and more recently available long-field-of-view PET/CT systems (≥ 25 cm) have brought a step change improvement in the sensitivity of PET scanners. Given the requirement to limit paediatric doses, this increase in sensitivity is extremely welcome for the imaging of children and young people. This is even more relevant with PET/MR, where the lack of CT exposures brings further dose reduction benefits to this population. In this short article, we give some details around the benefits around new PET technology including PET/MR and its implications on the EANM paediatric dosage card.
Material and methods
Reflecting on EANM adult guidance on injected activities, and making reference to bed overlap and the concept of MBq.min bed\(^{-1}\) kg\(^{-1}\), we use published data on image quality from PET/MR systems to update the paediatric dosage card for PET/MR and extended axial field of view (≥ 25 cm) PET/CT systems. However, this communication does not cover the expansion of paediatric dosing for the half-body and total-body scanners that have recently come to market.
Results
In analogy to the existing EANM dosage card, new parameters for the EANM paediatric dosage card were developed (class B, baseline value: 10.7 MBq, minimum recommended activity 10 MBq). The recommended administered activities for the systems considered in this communication range from 11 MBq [\(^{18}\)F]FDG for a child with a weight of 3 kg to 149 MBq [\(^{18}\)F]FDG for a paediatric patient weight of 68 kg, assuming a scan of 3 min per bed position. The mean effective dose over all ages (1 year and older) is 2.85 mSv.
Conclusion
With this, recommendations for paediatric dosing are given for systems that have not been considered previously.
Breast cancer etiology is associated with both proliferation and DNA damage induced by estrogens. Breast cancer risk factors (BCRF) such as body mass index (BMI), smoking, and intake of estrogen-active drugs were recently shown to influence intratissue estrogen levels. Thus, the aim of the present study was to investigate the influence of BCRF on estrogen-induced proliferation and DNA damage in 41 well-characterized breast glandular tissues derived from women without breast cancer. Influence of intramammary estrogen levels and BCRF on estrogen receptor (ESR) activation, ESR-related proliferation (indicated by levels of marker transcripts), oxidative stress (indicated by levels of GCLC transcript and oxidative derivatives of cholesterol), and levels of transcripts encoding enzymes involved in estrogen biotransformation was identified by multiple linear regression models. Metabolic fluxes to adducts of estrogens with DNA (E-DNA) were assessed by a metabolic network model (MNM) which was validated by comparison of calculated fluxes with data on methoxylated and glucuronidated estrogens determined by GC- and UHPLC-MS/MS. Intratissue estrogen levels significantly influenced ESR activation and fluxes to E-DNA within the MNM. Likewise, all BCRF directly and/or indirectly influenced ESR activation, proliferation, and key flux constraints influencing E-DNA (i.e., levels of estrogens, CYP1B1, SULT1A1, SULT1A2, and GSTP1). However, no unambiguous total effect of BCRF on proliferation became apparent. Furthermore, BMI was the only BCRF to indeed influence fluxes to E-DNA (via congruent adverse influence on levels of estrogens, CYP1B1 and SULT1A2).
With accelerating global climate change, the Antarctic Ice Sheet is exposed to increasing ice dynamic change. During 1992 and 2017, Antarctica contributed ~7.6 mm to global sea-level-rise mainly due to ocean thermal forcing along West Antarctica and atmospheric warming along the Antarctic Peninsula (API). Together, these processes caused the progressive retreat of glaciers and ice shelves and weakened their efficient buttressing force causing widespread ice flow accelerations. Holding ~91% of the global ice mass and 57.3 m of sea-level-equivalent, the Antarctic Ice Sheet is by far the largest potential contributor to future sea-level-rise.
Despite the improved understanding of Antarctic ice dynamics, the future of Antarctica remains difficult to predict with its contribution to global sea-level-rise representing the largest uncertainty in current projections. Given that recent studies point towards atmospheric warming and melt intensification to become a dominant driver for future Antarctic ice mass loss, the monitoring of supraglacial lakes and their impacts on ice dynamics is of utmost importance. In this regard, recent progress in Earth Observation provides an abundance of high-resolution optical and Synthetic Aperture Radar (SAR) satellite data at unprecedented spatial and temporal coverage and greatly supports the monitoring of the Antarctic continent where ground-based mapping efforts are difficult to perform. As an automated mapping technique for supraglacial lake extent delineation in optical and SAR satellite imagery as well as a pan-Antarctic inventory of Antarctic supraglacial lakes at high spatial and temporal resolution is entirely missing, this thesis aims to advance the understanding of Antarctic surface hydrology through exploitation of spaceborne remote sensing.
In particular, a detailed literature review on spaceborne remote sensing of Antarctic supraglacial lakes identified several research gaps including the lack of (1) an automated mapping technique for optical or SAR satellite data that is transferable in space and time, (2) high-resolution supraglacial lake extent mappings at intra-annual and inter-annual temporal resolution and (3) large-scale mapping efforts across the entire Antarctic continent. In addition, past method developments were found to be restricted to purely visual, manual or semi-automated mapping techniques hindering their application to multi-temporal satellite imagery at large-scale. In this context, the development of automated mapping techniques was mainly limited by sensor-specific characteristics including the similar appearance of supraglacial lakes and other ice sheet surface features in optical or SAR data, the varying temporal signature of supraglacial lakes throughout the year as well as effects such as speckle noise and wind roughening in SAR data or cloud coverage in optical data. To overcome these limitations, this thesis exploits methods from artificial intelligence and big data processing for development of an automated processing chain for supraglacial lake extent delineation in Sentinel-1 SAR and optical Sentinel-2 satellite imagery. The combination of both sensor types enabled to capture both surface and subsurface lakes as well as to acquire data during cloud cover or wind roughening of lakes. For Sentinel-1, a deep convolutional neural network based on residual U-Net was trained on the basis of 21,200 labeled Sentinel-1 SAR image patches covering 13 Antarctic regions. Similarly, optical Sentinel-2 data were collected over 14 Antarctic regions and used for training of a Random Forest classifier. Optical and SAR classification products were combined through decision-level fusion at bi-weekly temporal scale and unprecedented 10 m spatial resolution. Finally, the method was implemented as part of DLR’s High-Performance Computing infrastructure allowing for an automated processing of large amounts of data including all required pre- and postprocessing steps. The results of an accuracy assessment over independent test scenes highlighted the functionality of the classifiers returning accuracies of 93% and 95% for supraglacial lakes in Sentinel-1 and Sentinel-2 satellite imagery, respectively.
Exploiting the full archive of Sentinel-1 and Sentinel-2, the developed framework for the first time enabled the monitoring of seasonal characteristics of Antarctic supraglacial lakes over six major ice shelves in 2015-2021. In particular, the results for API ice shelves revealed low lake coverage during 2015-2018 and particularly high lake coverage during the 2019-2020 and 2020-2021 melting seasons. On the contrary, East Antarctic ice shelves were characterized by high lake coverage during 2016-2019 and
extremely low lake coverage during the 2020-2021 melting season. Over all six investigated ice shelves, the development of drainage systems was revealed highlighting an increased risk for ice shelf instability. Through statistical correlation analysis with climate data at varying time lags as well as annual data on Southern Hemisphere atmospheric modes, environmental drivers for meltwater ponding were revealed. In addition, the influence of the local glaciological setting was investigated through computation of annual recurrence times of lakes. Over both ice sheet regions, the complex interplay between local, regional and large-scale environmental drivers was found to control supraglacial lake formation despite local to regional discrepancies, as revealed through pixel-based correlation analysis. Local control factors included the ice surface topography, the ice shelf geometry, the presence of low-albedo features as well as a reduced firn air content and were found to exert strong control on lake distribution. On the other hand, regional controls on lake evolution were revealed to be the amount of incoming solar radiation, air temperature and wind occurrence. While foehn winds were found to dictate lake evolution over the API, katabatic winds influenced lake ponding in East Antarctica. Furthermore, the regional near-surface climate was shown to be driven by large-scale atmospheric modes and teleconnections with the tropics. Overall, the results highlight that similar driving factors control supraglacial lake formation on the API and EAIS pointing towards their transferability to other Antarctic regions.
Immune-mediated polyneuropathies like chronic inflammatory demyelinating polyradiculoneuropathy or Guillain-Barré syndrome are rare diseases of the peripheral nervous system. A subgroup of patients harbors autoantibodies against nodal or paranodal antigens, associated with a distinct phenotype and treatment response. In a part of patients with pathologic paranodal or nodal immunoreactivity the autoantigens remain difficult or impossible to determine owing to limitations of the used detection approach - usually ELISAs (enzyme-linked-immunosorbent-assays) - and incomplete knowledge of the possible autoantigens. Due to their high-throughput, low sample consumption and high sensitivity as well as the possibility to display many putative nodal and paranodal autoantigens simultaneously, peptide microarray-based approaches are prime candidates for the discovery of novel autoantigens, point-of-care diagnostics and, in addition, monitoring of pathologic autoimmune response. Current applications of peptide microarrays are however limited by high false-positive rates and the associated need for detailed follow-up studies and validation. Here, robust peptide microarray-based detection of antibodies and the efficient validation of binding signals by on-chip neutralization is demonstrated. First, autoantigens were displayed as overlapping peptide libraries in microarray format. Copies of the biochips were used for the fine mapping of antibody epitopes. Next, binding signals were validated by antibody neutralization in solution. Since neutralizing peptides are obtained in the process of microarray fabrications, neither throughput nor costs are significantly altered. Similar in-situ validation approaches could contribute to future autoantibody characterization and detection methods as well as to therapeutic research. Areas of application could be expanded to any autoimmune-mediated neurological disease as a long-term vision.
The area northeast of Sudbury, Ontario, is known for one of the largest unexplained geophysical anomalies on the Canadian Shield, the 1,200 km2 Temagami Anomaly. The geological cause of this regional magnetic, conductive and gravity feature has previously been modelled to be a mafic-ultramafic body at relatively great depth (2–15 km) of unknown age and origin, which may or may not be related to the meteorite impact-generated Sudbury Igneous Complex in its immediate vicinity. However, with a profound lack of outcrops and drill holes, the geological cause of the anomaly remains elusive, a genetic link to the 1.85 Ga Sudbury impact event purely speculative.
In search for any potential surface expression of the deep-seated cause of the Temagami Anomaly, this study provides a first, yet comprehensive petrological and geochemical assessment of exotic igneous dykes recently discovered in outcrops above, and drill cores into, the Temagami Anomaly. Based on cross-cutting field relations, petrographic studies, lithogeochemistry, whole-rock Nd-Sr-Pb isotope systematics, and U-Pb geochronology, it was possible to identify, and distinguish between, at least six different groups of igneous dykes: (i) Calc-alkaline quartz diorite dykes related to the 1.85 Ga Sudbury Igneous Complex (locally termed Offset Dykes); (ii) tholeiitic quartz diabase of the regional 2.22 Ga Nipissing Suite/Senneterre Dyke Swarm; (iii) calc-alkaline quartz diabase of the regional 2.17 Ga Biscotasing Dyke Swarm; (iv) alkaline ultrabasic dykes correlated with the 1.88–1.86 Ga Circum-Superior Large Igneous Province (LIP); and (v) aplitic dykes as well as (vi) a hornblende syenite, the latter two of more ambiguous age and stratigraphic position.
The findings presented in this study – the discovery of three new Offset Dykes in particular – offer some unexpected insights into the geology and economic potential of one of the least explored areas of the world-class Sudbury Mining Camp as well as into the nature and distribution of both allochthonous and autochthonous impactites within one of the oldest and largest impact structures known on Earth. Not only do the geometric patterns of dyke (and breccia) distribution reaffirm previous notions of the existence of discrete ring structures in the sense of a ~200-km multi-ring basin, but they provide critical constraints as to the pre-erosional thickness and extent of the impact melt sheet, thus helping to identity new areas for Ni-Cu-PGE exploration. Furthermore, this study provides important insights into the pre-impact stratigraphy and the magmatic evolution of the region in general, which reveals to be much more complex, compositionally divers, and protracted than initially assumed. Of note is the discovery of rocks related to the 2.17 Ga Biscotasing and the 1.88–1.86 Ga Circum-Superior magmatic events, as these were not previously known to occur on the southeast margin of the Superior Craton. Shortly predating the Sudbury impact and being contemporaneous with ore-forming events at Thompson (Manitoba) and Raglan (Cape Smith), these magmatic rocks could provide the missing link between unusual mafic, pre-enriched, crustal target rocks, and the unique metal endowment of the Sudbury Impact Structure.
The actual geological cause of the Temagami Anomaly remains open to debate and requires the downward extension of existing bore holes as well as more detailed geophysical investigations. The hypothesis of a genetic relationship between Sudbury impact event and Temagami Anomaly is neither borne out by any evidence nor particularly realistic, even in case of an oblique impact, and should thus be abandoned. It is instead proposed, based on circumstantial evidence, that the anomaly might be explained by an ultramafic complex of the 1.88–1.86 Ga Circum-Superior LIP.
This thesis describes novel concepts for the measurement of the static and dynamic properties of the electronic structure of molecules and nanocrystals in the liquid phase by means of coherent fluorescence-detected spectroscopy in two and three frequency dimensions. These concepts are based on the systematic variation ("phase cycling") of a sequence of multiple time-delayed femtosecond excitation pulses in order to decode a multitude of novel nonlinear signals from the resulting phase-dependent fluorescence signal. These signals represent any permutation of correlations between zero-, one-, two-, and three-quantum coherences. To this end, two new phase-cycling schemes have been developed which can simultaneously resolve and discriminate several nonlinear signals of sixth order, including those of the fourth order of nonlinearity.
By means of the sixth-order signals recorded in this work, static properties of highly excited electronic states in molecules such as their energies, transition dipole moments, and relative displacement of electronic potential surfaces, as well as dynamic properties in terms of their relaxation kinetics, can be ascertained. Furthermore, it was shown that these signals are suitable for the characterization of exciton-exciton correlations in colloidal quantum dots and for the measurement of ultrafast exciton-exciton annihilation in molecular aggregates.
The experiments performed in this thesis mark an important step towards the complete characterization of the nonlinear response of quantum systems. In view of this, the concept of fluorescence-detected multiple-quantum coherence multidimensional spectroscopy introduced here offers a unified, systematic approach.
In virtue of the technical advantages such as the use of a single excitation beam and the absence of nonresonant contributions, the measurement protocols developed here can be directly transferred to other incoherent observables and to sample systems in other states of matter. Furthermore, the approaches presented here can be systematically extended to higher frequency dimensions and higher orders of nonlinearity.
The present work focusses on the borylation of aryl halides. The first chapter presents a detailed review about previously reported nickel-catalyzed borylation reactions. The second chapter of the thesis describes, the borylation reaction of C–Cl bonds in aryl chlorides mediated by an NHC-stabilized nickel catalyst. The cyclohexyl substituted NHC Cy2Im was used to synthesize novel Cy2Im-stabilized nickel complexes [Ni2(Cy2Im)4(μ-(η2:η2)-COD)] 1, [Ni(Cy2Im)2(η2-C2H4)] 2, and [Ni(Cy2Im)2(η2-COE)] 3. An optimized procedure was developed using 5 mol% of the Ni-catalyst, 1.5 equivalents of the boron reagent B2pin2, and 1.5 equivalents of NaOAc as the base in methylcyclohexane at 100 °C. With these optimized conditions, it was shown that a variety of aryl chlorides, containing either electron-withdrawing or -donating groups, were converted to the corresponding aryl boronic esters in yields up to 99% (88% isolated) yield. Mechanistic investigations revealed that the C–Cl oxidative addition product [Ni(Cy2Im)2(Cl)(4-F3C-C6H4)] 11, which has been synthesized and isolated separately, also catalyzes the reaction. Thus, rapid oxidative addition of the C–Cl bond of the aryl chloride to [Ni2(Cy2Im)4(μ-(η2:η2)-COD)] 1 to yield trans-[Ni(Cy2Im)2(Cl)(Ar)] represents the first step in the catalytic cycle. The rate limiting step in this catalytic cycle is the transmetalation of boron to nickel forming trans-[Ni(Cy2Im)2(Bpin)(Ar)], which was not possible to isolate. The boryl transfer reagent is assumed to be the anionic adduct Na[B2pin2(OAc)]. A final reductive elimination step gives the desired borylated product Ar–Bpin and regenerates [Ni(Cy2Im)2].
In the next chapter the first effective C–Cl bond borylation of aryl chlorides using NHC-stabilized Cu(I)-complexes of the type [Cu(NHC)(Cl)] was developed. The known complexes [Cu(iPr2Im)(Cl)] 15, [Cu(Me2ImMe)(Cl)] 16, and [Cu(Cy2Im)(Cl)] 17, bearing the small alkyl substituted NHCs, were synthesized in good yields by the reaction of copper(I) chloride with the corresponding free NHC at low temperature (-78 °C) in THF. A range of catalysts, bases, solvents, and boron sources were screened to determine the scope and limitations of this reaction. [Cu(Cy2Im)(Cl)] 17 revealed a significantly higher catalytic activity than [Cu(iPr2Im)(Cl)] 15. KOtBu turned out to be the only efficient base for this borylation reaction. Besides methylcyclohexane, toluene was the only solvent that gave the borylated product in moderate yields of 53%. It was shown that a variety of electron-rich and electron-poor aryl chlorides can be converted to the corresponding aryl boronic esters in isolated yields of up to 80%. A mechanism was proposed, in which a Cu-boryl complex [Cu(L)(Bpin)] is formed in the initial step. This is followed by C–B bond formation via σ-bond metathesis with the aryl chloride forming the aryl boronic ester and [Cu(L)(Cl)]. The latter reacts with KOtBu to give [Cu(L)(OtBu)], which regenerates the copper boryl complex by reaction with B2pin2.
Chapter 4 describes studies directed towards the transition metal-free borylation of aryl halides using Lewis base adducts of diborane(4) compounds. A variety of novel pyridine and NHC adducts of boron compounds were synthesized. Adducts of the type pyridine·B2cat2 18-19 and NHC·B2(OR)4 20-23 were examined for their ability to transfer a boryl moiety to an aryl iodide. However, only Me2ImMe∙B2pin2 20 was found to be effective. The stoichiometric reaction of 20 with different substituted aryl iodides and bromides in benzene, at elevated temperatures, gave the desired aryl boronic esters in good yields. Interestingly, depending on the reaction temperature, C–C coupling between the aryl halide and the solvent (benzene), was detected leading to a side product which, together with observed hydrodehalogenation of the aryl halide, provided indications that the reaction might be radical in nature.
When the boryl transfer reaction based on Me2ImMe∙B2pin2 20 was followed by EPR spectroscopy, a signal (though very weak and ill-defined) was detected, which is suggestive of a mechanism involving a boron-based radical. In addition, the boronium cation [(Me2ImMe)2∙Bpin]+ 37 with iodide as the counterion was isolated from the reaction residue, indicating the fate of the second boryl moiety. A preliminary mechanism for the boryl transfer from 20 to aryl iodides was proposed, which involves an NHC–Bpin˙ radical as the key intermediate. Me2ImMe–Bpin˙ is formed by homolytic B–B bond cleavage of the bis-NHC adduct (Me2ImMe)2∙B2pin2, which is formed in situ in small amounts under the reaction conditions. Me2ImMe–Bpin˙ reacts with the aryl iodide to give the aryl boronic ester with recovery of aromaticity. In the same step, from the second equivalent of NHC–Bpin˙, an NHC-stabilized iodo-Bpin adduct is formed as an intermediate, which is further coordinated by another NHC, yielding [(Me2ImMe)2∙Bpin]+I- 37.
Motivated by the great potential offered by the combination of additive manufacturing technology and hydrogels, especially in the field of tissue engineering and regenerative medicine, a series of novel hybrid hydrogel inks were developed based on the recently described thermogelling poly(2-oxazoline)s-block-poly(2-oxazine)s diblock copolymers, which may help to expand the platform of available hydrogel inks for this transformative 3D printing technology (Fig. 5.1).
In the present thesis, the first reported thermogelling polymer solely consisting of POx and POzi, i.e., the diblock copolymer PMeOx-b-PnPrOzi comprising a hydrophilic block (PMeOx) and a thermoresponsive block (PnPrOzi), was selected and used as a proof-of-concept for the preparation of three novel hybrid hydrogels. Therefore, three batches of the diblock copolymers with a DP of 100 were synthesized for the study of three different hybrid hydrogels with a special focus on their suitability as (bio)inks for extrusion-based 3D printing. The PMeOx-b-PnPrOzi diblock copolymer solution shows a temperature induced reversible gelation behavior above a critical polymer concentration of 20 wt%, as described for the Pluronic F127 solution but with a unique gelation mechanism, working through the formation of a bicontinuous sponge-like structure from the physically crosslinked vesicles. Specially, its intrinsic shear thinning behavior and excellent recovery property with a certain yield point make it a promising ink candidate for extrusion-based printing technology.
Increasing the polymer concentration is the most traditional approach to improve the printability of an ink material, and serve as the major strategy available to improve the printability of PMeOx-b-PnPrOzi systems prior to this work. From the analysis of rheological properties related to printability, it came a conclusion that increasing the copolymer concentration does improve the hydrogel strength and thus the printability. However, such improvement is very limited and usually leads to other problems such as more viscous systems and stringent requirements on the printers, which are not ideal for the printing process and applications especially in the cell-embedded biofabrication field.
POx-b-POzi/clay Hybrid Hydrogel
An alternative method proposed to improve the printability of this thermoresponsive hydrogel ink is through nanoclay (Laponite XLG) addition, i.e., the first hybrid hydrogel system of PMeOx-b-PnPrOzi/clay (also named shortly as POx-b-POzi/clay) in this thesis. To optimize the viscoelastic properties of the ink material, Laponite XLG acted as a reinforcement additive and a physically crosslinker was blended with the copolymers. Compared with the pristine copolymer solution of PMeOx-b-PnPrOzi, the hybrid PMeOx-b-PnPrOzi/clay solution well retained the temperature induced gelation performance of the copolymers.
The obtained hybrid hydrogels exhibited a rapid in situ reversible thermogelation at a physiological relevant Tgel of around 15 ℃ and a rapid recovery of viscoelastic properties within a few seconds. More importantly, with the addition of only a small amount of 1.2 wt% clay, it exhibited obviously enhanced shear thinning character (n = 0.02), yield stress (240 Pa) and mechanical strength (storage modulus over 5 kPa). With this novel hybrid hydrogel, real three-dimensional constructs with multiple layers and various geometries are generation with greatly enhanced shape fidelity and resolution. In this context, the thermogelling properties of the hybrid hydrogels over a copolymer concentration range of 10-20 wt% and a clay concentration of 0-4 wt% were systematically investigated, and from which a printable window was obtained from the laboratory as a reference.
In fact, the printing performance of an ink is not only determined by the intrinsic physicochemical properties of the material, but is also influenced by the external printing environments as well as the printer parameter settings. All the printing experiments in this study were conducted under a relatively optimized conditions obtained from preliminary experiments. In future work, the relationship between material rheology properties, printer parameters and printing performance could be systematically explored. Such a fundamental study will help to develop models that allows the prediction and comparison of printing results from different researches based on the parameters available through rheology, which is very beneficial for further development of more advanced ink systems.
Although the printability has been significantly improved by the addition of nanoclay Laponite XLG, the hybrid hydrogels and their printed constructs still suffer from some major limitations. For example, these materials are still thermoresponsive, which will cause the printed constructs to collapse when the environment temperature changes below their Tgel. In addition, the formed hydrogel constructs are mechanical too weak for load-bearing applications, and the allowed incubation time is very limited during media exchange/addition as it will lead to dissolution of the hydrogels due to dilution effects. Therefore, it is essential to establish a second (chemical or physical) crosslinking mechanism that allows further solidification of the gels after printing. It should be kept in mind that the second crosslinking step will eliminate the thermoresponsive behavior of the gels and thus the possibility of cell recovery. In this case, besides through the traditional approach of copolymer modification to realize further crosslinking, like one of the well-known post-polymerization modification approach Diels-Alder reaction,[430] designing of interpenetrating networks (IPN) hydrogels serves as one of the major strategy for advanced (bio)ink preparation.[311] Therefore, the second hybrid hydrogel system of PMeOx-b-PnPrOzi/PDMAA/clay (also named shortly as POx-b-POzi/PDMAA/clay) was developed in this thesis, which is a 3D printable and highly stretchable ternary organic-inorganic IPN hydrogel.
POx-b-POzi/PDMAA/clay Hybrid Hydrogel
The nanocomposite IPN hydrogel combines a thermoresponsive hydrogel with clay described above and in situ polymerized poly(N, N-dimethylacrylamide). Before in situ polymerization, the thermoresponsive hydrogel precursors exhibited thermogelling behavior (Tgel ~ 25 ℃, G' ~ 6 kPa) and shear thinning properties, making the system well-suited for extrusion-based 3D printing. After chemical curing of the 3D-printed constructs by free radical polymerization, the resulting IPN hydrogels show excellent mechanical strength with a high stretchability to a tensile strain at break exceeding 550%. The hybrid hydrogel can sustain a high stretching deformation and recover quickly due to the energy dissipation from the non-covalent interactions. With this hybrid hydrogel, integrating with the advanced 3D-printing technique, various 3D constructs can be printed and cured successfully with high shape fidelity and geometric accuracy.
In this context, we also investigated the possibility of acrylic acid (AA) and 2-hydroxyethylmethacrylate (HEMA) as alternative hydrogel precursors. However, the addition of these two monomers affected the thermogelation of POx-b-POzi in an unfavorable manner, as these monomers competed more effectively with water molecules, preventing the hydration of nPrOzi block at lower temperatures and therefore, the liquefaction of the gels. Furthermore, the influence of the printing process and direction on the mechanical properties of the hydrogel was investigated and compared with the corresponding bulk materials obtained from a mold. No significant effects from the additive manufacturing process were observed due to a homogeneously adhesion and merging between sequentially deposited layers. In the future, further studies on the specific performance differences among hydrogels fabricated at different printing directions/speeds would be of great interest to the community, as this allows for a more accurately control and better predict of the printed structures.
This newly developed hybrid IPN hydrogel is expected to expand the material toolbox available for hydrogel-based 3D printing, and may be interesting for a wide range of applications including tissue engineering, drug delivery, soft robotics, and additive manufacturing in general. However, in this case, the low toxicity from the monomer DMAA and other small molecules residuals in the polymerized hydrogels made this hybrid hydrogel not ideal for bioprinting in the field of biofabrication. For this problem, cyto-/biocompatible monomers such as polyethylene glycol diacrylate (PEGDA) can be used as an alternative, while the overall properties of the hydrogels including mechanical properties should be re-evaluated accordingly. Moreover, the swelling behavior of the hydrogels should also be taken into account, as it may most likely affect the mechanical strength and geometry size of the printed scaffold, but is often be overlooked after printing. For example, regarding the specific hybrid hydrogel POx-b-POzi/PDMAA/clay in this work, an equilibrium swelling ratio of 1100% was determined. The printed hydrogel cuboid experienced a volume increasing over 6-fold after equilibrium swelling in water, and became mechanical fragile due to the formation of a swollen hydrogel network absorbing large amount of water.
POx-b-POzi/Alg/clay Hybrid Hydrogel
In the final part of this dissertation, to enable the cell-loaded bioprinting and long-term cell culture, the third hybrid hydrogel system POx-b-POzi/Alg/clay was introduced by replacing the monomer DMAA to the natural polysaccharides alginate. Initially, detailed rheological characterization and mechanical tests were performed to evaluate their printability and mechanically properties. Subsequently, some simple patterns were printed with the optimized hydrogel precursor solutions for the preliminary filament fusion and collapse test before proceeding to more complex printings. The fibers showed a sufficient stability which allows the creation of large structures with a height of a few centimeters and a suspended filament up to centimeter. Accordingly, various 3D constructs including suspended filaments were printed successfully with high stackability and shape fidelity. The structure after extrusion was physical crosslinked easily by soaking in CaCl2 solution and, thereafter exhibited a good mechanical flexibility and long-term stability. Interestingly, the mechanical strength and geometry size of the generated scaffolds were well maintained over a culture period of weeks in water, which is of great importance for clinical applications. In addition, the post-printing ionic crosslinking of alginate could also be realized by other di/trivalent cations such as Fe3+ and Tb3+.
Subsequently, the cell-laden printing with this hybrid hydrogel and post-printing crosslinking by Ca2+ ions highlighting its feasibility for 3D bioprinting. WST-1 assay of fibroblast suggested no-dose dependent cytocompatibility of the hydrogel precursor solution. The cell distribution was uniform throughout the printed construct, and proliferated with high cell viability during the 21 days culture. The presented hybrid approach, utilizing the beneficial properties of the POx-b-POzi base material, could be interesting for a wide range of bioprinting applications and potentially enabling also other biological bioinks such as collagen, hyaluronic acid, decellularized extracellular matrix or cellulose based bioinks. Although the results look promising and the developed hydrogel is an important bioink candidate, the long-term in vitro cell studies with different cell lines and clinical model establishment are still under investigation, which remains a long road but is of great importance before realizing real clinical application.
Last but not least, the improvement to the printability of thermogelling POx/POzi-based copolymers by the clay Laponite XLG was also demonstrated in another thermogelling copolymer PEtOx-b-PnPrOzi. This suggests that the addition of clay may be a general strategy to improve the printability of such polymers. Despite these advances in this work which significantly extended the (bio)material platform of additive manufacturing technology, the competition is still fierce and more work should be done in the further to reveal the potential and limitations of this kind of new and promising candidate (bio)ink materials. It is also highly expected for further creative works based on the thermogelling POx/POzi polymers, such as crosslinking in Ca2+ solution containing monomer acrylamide to prepare printable and mechanically tough hydrogels, research on POx-based support bath material, and print of clinically more relevant sophisticated structures such as 3D microvascular networks omnidirectionally.
Deoxyribozymes are artificially evolved DNA molecules with catalytic abilities. RNA-cleaving deoxyribozymes have been recognized as an efficient tool for detection of modifications in target RNAs and provide an alternative to traditional and modern methods for detection of ribose or nucleobase methylation. However, there are only few examples of DNA enzymes that specifically reveal the presence of a certain type of modification, including N6-methyladenosine, and the knowledge about how DNA enzymes recognize modified RNAs is still extremely limited. Therefore, DNA enzymes cannot be easily engineered for the analysis of desired RNA modifications, but are instead identified by in vitro selection from random DNA libraries using synthetic modified RNA substrates. This protocol describes a general in vitro selection stagtegy to evolve new RNA-cleaving DNA enzymes that can efficiently differentiate modified RNA substrates from their unmodified counterpart.
Estrogens, namely 17β-estradiol (E2) and estrone (E1) are considered to play an important role in the initiation and promotion of breast cancer (summarized in Raftogianis et al., 2000), a malignancy responsible for around 500,000 deaths per year (summarized in Ghislain et al., 2016). Two major mechanisms have been postulated to explain the carcinogenic effects of estrogens: (1) the estrogen receptor-mediated stimulation of breast cell proliferation with a concomitant enhanced rate of mutations and (2) the metabolism of hydroxylated estrogens to quinone derivatives which can react with the DNA (Russo and Russo, 2006, summarized in Yager and Davidson, 2006). Nevertheless, as a detoxifying mechanism, E1, E2, and their hydroxylated and methoxylated metabolites are reversibly conjugated into sulfates and glucuronides devoid of biological activity (summarized in Guillemette et al., 2004). Yet, despite the key detoxifying function of these conjugates, the study of their circulating levels face some significant problems: (1) analysis by techniques such as radioimmunoassay lack specificity and accuracy and requires enzymatic/chemical hydrolysis before analysis, being unable to differentiate between sulfates and glucuronides (summarized in Stanczyk et al., 2007, summarized in Wang et al., 2016), (2) very little knowledge in healthy women, which has been identified as a barrier to advance in breast cancer research (summarized in Liu, 2000), and (3) far fewer studies in pre- than in postmenopausal women (summarized in Samavat and Kurzer, 2015). Therefore, to get more insights into the research of breast cancer etiology and prevention, the analysis of circulating levels of estrogens (including metabolites and conjugates) in women without breast cancer through reliable analytical techniques, is required.
The objective of this thesis was the synthesis and characterisation of two linear multifunctional PEG-alternatives for bioconjugation and hydrogel formation: i) Hydrophilic acrylate based copolymers containing peptide binding units and ii) hydrophilic polyether based copolymers containing different functional groups for a physical crosslinking.
In section 3.1 the successful synthesis of water soluble and linear acrylate based polymers containing oligo(ethylene glycol) methyl ether acrylate with either linear thioester functional 2-hydroxyethyl acrylate, thiolactone acrylamide, or vinyl azlactone via the living radical polymerisation technique Reversible Addition Fragmentation Chain Transfer (RAFT) and via free-radical polymerisation is described. The obtained polymers were characterized via GPC, 1H NMR, IR and RAMAN spectroscopy.
The RAFT end group was found to be difficult to remove from these short polymer chains and accordingly underwent the undesired side reaction aminolysis with the peptide during the conjugation studies. Besides that, polymers without RAFT end groups did not show any binding of the peptide at the thioester groups, which can be improved in future by using higher reactant concentrations and higher amount of binding units at the polymer. Polymers containing the highly reactive azlactone group showed a peptide binding of 19 %, but unfortunately this function also underwent spontaneous hydrolysis before the peptide could even be bound. In all cases, oligo(ethylene glycol) methyl ether acrylate was used with a relatively high molecular weight (Mn = 480 Da) was used, which eventually was efficiently shielding the introduced binding units from the added peptide. In future, a shorter monomer with Mn = 300 Da or less or hydrophilic N,N’-dialkyl acrylamide based polymers with less steric hindrance could be used to improve this bioconjugation system. Additionally, the amount of monomers containing peptide binding units in the polymer can be increased and have an additional spacer to achieve higher loading efficiency.
The water soluble, linear and short polyether based polymers, so called polyglycidols, were successfully synthesized and modified as described in section 3.2. The obtained polymers were characterized using GPC, 1H NMR, 31P{1H} NMR, IR, and RAMAN spectroscopy. The allyl groups which were present up to 20 % were used for radical induced thiol-ene chemistry for the introduction of functional groups intended for the formation of the physically crosslinking hydrogels. For the positively charged polymers, first a chloride group had to be introduced for the subsequent nucleophilic substitution with the imidazolium compound. There, degrees of modifications were found in the range 40-97 % due to the repulsion forces of the charges, decreased concentration of active chloride groups, and limiting solution concentrations of the polymer for this reaction. For the negatively charged polymers, first a protected phosphonamide moiety was introduced with a deprotection step afterwards showing 100 % conversion for all reactions. Preliminary hydrogel tests did not show a formation of a three-dimensional network of the polymer chains which was attributed to the short backbone length of the used polymers, but the gained knowledge about the synthetic routes for the modification of the polymer was successfully transferred to longer linear polyglycidols. The same applies to the introduction of electron rich and electron poor compounds showing π-π stacking interactions by UV-vis spectroscopy.
Finally, long linear polyglycidyl ethers were synthesised successfully up to molecular weights of Mn ~ 30 kDa in section 3.3, which was also proven by GPC, 1H NMR, IR and RAMAN spectroscopy. This applies to the homopolymerisation of ethoxyethyl glycidyl ether, allyl glycidyl ether and their copolymerisation with an amount of the allyl compound ~ 10 %. Attempts for higher molecular weights up to 100 kDa showed an uncontrolled polymerisation behaviour and eventually can be improved in future by choosing a lower initiation temperature. Also, the allyl side groups were modified via radical induced thiol-ene chemistry to obtain positively charged functionalities via imidazolium moieties (85 %) and negatively charged functionalities via phosphonamide moieties (100 %) with quantitative degree of modifications. Hydrogel tests have still shown a remaining solution by using long linear polyglycidols carrying negative charges with long/short linear polyglycidols carrying positive charges. The addition of calcium chloride led to a precipitate of the polymer instead of a three-dimensional network formation representing a too high concentration of ions and therefore shielding water molecules with prevention from dissolving the polymer. These systems can be improved by tuning the polymers structure like longer polymer chains, longer spacer between polymer backbone and charge, and higher amount of functional groups.
The objective of the thesis was partly reached containing detailed investigated synthetic routes for the design and characterisation of functional polymers which could be used in future with improvements for bioconjugation and hydrogel formation tests.
Within my PhD project I gained several novel insights into the poorly investigated
symbiotic world of fungus farming ambrosia beetles and their bark beetle ancestors,
where I especially focused on physiological interactions and capabilities of
associated fungal symbionts. Here, (i) I could confirm the association of mutualistic
Phialophoropsis fungi with the ambrosia beetle genus Trypodendron and found hints
for a possible new Phialophoropsis species in T. signatum and T. domesticum.
Moreover, I could show that mutualistic fungi of Trypodendron ambrosia beetles are
able to decompose major woody polysaccharides such as cellulose and xylan.
Additionally, (ii) I provided the first images using micro-computed tomography (µCT)
of the formerly unknown structure of the mycetangium of Trypodendron leave. (iii) I
could confirm a general tolerance towards ethanol in mutualistic ambrosia beetle
fungi, while antagonistic fungi as well as most examined fungal bark beetle
associates (e.g. possibly tree-defense detoxifying species) were highly sensitive to
even low concentrations of ethanol. Further, (iv) I found that natural galleries of
ambrosia beetles are highly enriched with several biologically important elements
(such as N, P, S, K, Mg) compared to the surrounding woody tissue and suggest that
mutualistic fungi are translocating and concentrating elements from the immediate
surrounding xylem to the beetles galleries. Furthermore, (v) I could show that various
fungi associated with bark and ambrosia beetles (mutualists, possibly beneficial
symbionts) are emitting several volatile organic compounds mostly within aliphatic
and aromatic alcohols and esters, while non-mutualistic and free living species were
generally emitting a lower number and amount of volatiles. Finally, especially bark
and ambrosia beetle fungi were found to incorporate several amino acids, from which
some are especially important for the production of certain volatile organic
compounds. Amino acid content also indicated a higher nutritional value for certain
species. Here, I propose that especially volatile organic compounds are widespread
key players in maintaining various symbioses between fungi and beetles, as already
proven by a recent study on the bark beetle Ips typographus (as well as for some
other bark beetle-fungus symbioses, see summary in Kandasamy et al. 2016) and
also suggested for ambrosia beetles.
This thesis is about composite-based structural equation modeling. Structural equation modeling in general can be used to model both theoretical concepts and their relations to one another. In traditional factor-based structural equation modeling, these theoretical concepts are modeled as common factors, i.e., as latent variables which explain the covariance structure of their observed variables. In contrast, in composite-based structural equation modeling, the theoretical concepts can be modeled both as common factors and as composites, i.e., as linear combinations of observed variables that convey all the information between their observed variables and all other variables in the model. This thesis presents some methodological advancements in the field of composite-based structural equation modeling. In all, this thesis is made up of seven chapters. Chapter 1 provides an overview of the underlying model, as well as explicating the meaning of the term composite-based structural equation modeling. Chapter 2 gives guidelines on how to perform Monte Carlo simulations in the statistic software R using the package “cSEM” with various estimators in the context of composite-based structural equation modeling. These guidelines are illustrated by an example simulation study that investigates the finite sample behavior of partial least squares path modeling (PLS-PM) and consistent partial least squares (PLSc) estimates, particularly regarding the consequences of sample correlations between measurement errors on statistical inference. The third Chapter presents estimators of composite-based structural equation modeling that are robust in responding to outlier distortion. For this purpose, estimators of composite-based structural equation modeling, PLS-PM and PLSc, are adapted. Unlike the original estimators, these adjustments can avoid distortion that could arise from random outliers in samples, as is demonstrated through a simulation study. Chapter 4 presents an approach to performing predictions based on models estimated with ordinal partial least squares and ordinal consistent partial least squares. Here, the observed variables lie on an ordinal categorical scale which is explicitly taken into account in both estimation and prediction. The prediction performance is evaluated by means of a simulation study. In addition, the chapter gives guidelines on how to perform such predictions using the R package “cSEM”. This is demonstrated by means of an empirical example. Chapter 5 introduces confirmatory composite analysis (CCA) for research in “Human Development”. Using CCA, composite models can be estimated and assessed. This chapter uses the Henseler-Ogasawara specification for composite models, allowing, for example, the maximum likelihood method to be used for parameter estimation. Since the maximum likelihood estimator based on the Henseler-Ogasawara specification has limitations, Chapter 6 presents another specification of the composite model by means of which composite models can be estimated with the maximum likelihood method. The results of this maximum likelihood estimator are compared with those of PLS-PM, thus showing that this maximum likelihood estimator gives valid results even in finite samples. The last chapter, Chapter 7, gives an overview of the development and different strands of composite-based structural equation modeling. Additionally, here I examine the contribution the previous chapters make to the wider distribution of composite-based structural equation modeling.
Anthropogenic activities are causing air pollution. Amongst air pollutants, tropospheric ozone is a major threat to human health and ecosystem functioning. In this dissertation, I present three studies that aimed at increasing our knowledge on how plant exposure to ozone affects its reproduction and its interactions with insect herbivores and pollinators.
For this purpose, a new fumigation system was built and placed in a greenhouse. The annual plant Sinapis arvensis (wild mustard) was used as the model plant.
Plants were exposed to either 0 ppb (control) or 120 ppb of ozone, for variable amounts of time and at different points of their life cycle. After fumigation, plants were exposed to herbivores or pollinators in the greenhouse, or to both groups of insects in the field.
My research shows that ozone affected reproductive performance differently, depending on the timing of exposure: plants exposed at earlier ages had their reproductive fitness increased, while plants exposed later in their life cycle showed a tendency for reduced reproductive fitness. Plant phenology was a key factor influencing reproductive fitness: ozone accelerated flowering and increased the number of flowers produced by plants exposed at early ages, while plants exposed to ozone at later ages tended to have fewer flowers. On the other hand, the ozone-mediated changes in plant-insect interactions had little impact on plant reproductive success.
The strongest effect of ozone on plant-pollinator interactions was the change in the number of flower visits received per plant, which was strongly linked to the number of open flowers. This means that, as a rule, exposure of plants to ozone early in the life cycle resulted in a higher number of pollinator visits, while exposure later in the life cycle resulted in fewer flower visits by potential pollinators. An exception was observed: the higher number of visits performed by large syrphid flies to young ozone-exposed plants than to the respective control plants went beyond the increase in the number of open flowers in those plants. Also, honeybees spent more time per flower in plants exposed to ozone than on control plants, while other pollinators spent similar amounts of time in control and ozone-exposed plants. This guild-dependent preference for ozone-exposed plants may be due to species-specific preferences related to changes in the quality and quantity of floral rewards.
In the field, ozone-exposed plants showed only a tendency for increased colonization by sucking herbivores and slightly more damage by chewing herbivores than control plants. On the other hand, in the greenhouse experiment, Pieris brassicae butterflies preferred control plants over ozone-exposed plants as oviposition sites. Eggs laid on ozone-exposed plants took longer to hatch, but the chances of survival were higher. Caterpillars performed better in control plants than in ozone-exposed plants, particularly when the temperature was high.
Most of the described effects were dependent on the duration and timing of the ozone exposure and the observed temperature, with the strongest effects being observed for longer exposures and higher temperatures. Furthermore, the timing of exposure altered the direction of the effects.
The expected climate change provides ideal conditions for further increases in tropospheric ozone concentrations, therefore for stronger effects on plants and plant-insect interactions. Acceleration of flowering caused by plant exposure to ozone may put plant-pollinator interactions at risk by promoting desynchronization between plant and pollinator activities. Reduced performance of caterpillars feeding on ozone-exposed plants may weaken herbivore populations. On the other hand, the increased plant reproduction that results from exposing young plants to ozone may be a source of good news in the field of horticulture, when similar results would be achieved in high-value crops. However, plant response to ozone is highly species-specific. In fact, Sinapis arvensis is considered a weed and the advantage conferred by ozone exposure may increase its competitiveness, with negative consequences for crops or plant communities in general. Overall, plant exposure to ozone might constitute a threat for the balance of natural and agro-ecosystems.
Global Existence and Uniqueness Results for Nematic Liquid Crystal and Magnetoviscoelastic Flows
(2022)
Liquid crystals and polymeric fluids are found in many technical applications with liquid crystal displays probably being the most prominent one. Ferromagnetic materials are well established in industrial and everyday use, e.g. as magnets in generators, transformers and hard drive disks. Among ferromagnetic materials, we find a subclass which undergoes deformations if an external magnetic field is applied. This effect is exploited in actuators, magnetoelastic sensors, and new fluid materials have been produced which retain their induced magnetization during the flow.
A central issue consists of a proper modelling for those materials. Several models exist regarding liquid crystals and liquid crystal flows, but up to now, none of them has provided a full insight into all observed effects. On materials encompassing magnetic, elastic and perhaps even fluid dynamic effects, the mathematical literature seems sparse in terms of models. To some extent, one can unify the modeling of nematic liquid crystals and magnetoviscoelastic materials employing a so-called energetic variational approach.
Using the least action principle from theoretical physics, the actual task reduces to finding appropriate energies describing the observed behavior. The procedure leads to systems of evolutionary partial differential equations, which are analyzed in this work.
From the mathematical point of view, fundamental questions on existence, uniqueness and stability of solutions remain unsolved. Concerning the Ericksen-Leslie system modelling nematic liquid crystal flows, an approximation to this model is given by the so-called Ginzburg-Landau approximation. Solutions to the latter are intended to approximately represent solutions to the Ericksen-Leslie system. Indeed, we verify this presumption in two spatial dimensions. More precisely, it is shown that weak solutions of the Ginzburg-Landau approximation converge to solutions of the Ericksen-Leslie system in the energy space for all positive times of evolution. In order to do so, theory for the Euler equations invented by DiPerna and Majda on weak compactness and concentration measures is used.
The second part of the work deals with a system of partial differential equations modelling magnetoviscoelastic fluids. We provide a well-posedness result in two spatial dimensions for large energies and large times. Along the verification of that conclusion, existing theory on the Ericksen-Leslie system and the harmonic map flow is deployed and suitably extended.
Recent studies have hinted to an involvement of epithelial to mesenchymal transition, a mechanism often associated with metastasis in epithelial cancers, in adrenocortical carcinoma. In addition, the knowledge about the FGF/FGFR pathway in pathogenesis of the adrenal gland, a pathway often associated with the epithelial to mesenchymal transition, is sparse and fragmented.
We assessed, in a large number of normal, benign and malignant adrenocortical tissues (a total of 181 different samples), the expression of canonical and novel epithelial and mesenchymal markers and compared it with their expression in typical epithelial and mesenchymal tissues. In addition, we also quantified the expression of most members of the FGF/FGFR pathway in adrenocortical tissues and compared it against well-studied epithelial and mesenchymal tissues as well as between malignant and not malignant adrenocortical tissues, in order to assess the possible connection to epithelial to mesenchymal transition and find possible drug targets. Surprisingly, both normal and neoplastic adrenocortical tissues lacked expression of epithelial markers (e.g. E-Cadhering or EpCAM) but strongly expressed mesenchymal markers (e.g. N-Cadherin or SLUG), suggesting a higher similarity of adrenocortical tissues to mesenchymal compared to epithelial tissues, reminiscent of the adrenocortical origin from the intermediate mesoderm. Despite their ubiquitous expression in all adrenocortical tissues, mesenchymal markers had a variable expression in adrenocortical carcinoma, associating either directly or inversely with different clinical markers of tumor aggressiveness. Lymph node infiltration was associated with high expression of SLUG (p = 0.04), and at the same time low expression of N-cadherin (p = 0.001), and the same pattern was observed for venous infiltration of tumoral tissue, Weiss score of tumor malignancy or Ki67 proliferation marker. In malignant compared to benign adrenal tumors, we found significant differences in the expression of 16 out of the 94 studied FGF receptor pathway related genes. Genes involved in tissue differentiation and metastatic spread through epithelial to mesenchymal transition were most strongly altered. The therapeutically targetable FGF receptors 1 and 4 were upregulated 4.6- and 6-fold, respectively, in malignant compared to benign adrenocortical tumors, which was confirmed by using two different quantification methods in both frozen and paraffin embedded tissue material. High expression of FGFR1 and 4 was significantly associated with worse patient prognosis (High FGFR1 expression was associated with a shorter overall patient survival of 84 vs 148 months (HR=1.8, 95% CI: 1.01-3.25) as well as a shorter resection free survival of 25 vs 75 months ((HR=2.93, 95% CI: 1.25-6.84), while high FGFR4 was associated with a much shorter overall survival of 50 vs 155 months (HR=2.44, 95% CI: 1.41-4.22).
In conclusion, epithelial to mesenchymal transition does not seem to play a role in adrenocortical carcinoma tumor progression, and the FGF/FGFR pathway, even if it is probably not related to EMT, is nonetheless associated with tumor aggressiveness. Furthermore, quantification of FGF receptors may enable a stratification of adrenocortical carcinoma for the use of FGFR inhibitors in future clinical trials.
Novel deep learning (DL) architectures, better data availability, and a significant increase in computing power have enabled scientists to solve problems that were considered unassailable for many years. A case in point is the “protein folding problem“, a 50-year-old grand challenge in biology that was recently solved by the DL-system AlphaFold. Other examples comprise the development of large DL-based language models that, for instance, generate newspaper articles that hardly differ from those written by humans. However, developing unbiased, reliable, and accurate DL models for various practical applications remains a major challenge - and many promising DL projects get stuck in the piloting stage, never to be completed. In light of these observations, this thesis investigates the practical challenges encountered throughout the life cycle of DL projects and proposes solutions to develop and deploy rigorous DL models.
The first part of the thesis is concerned with prototyping DL solutions in different domains. First, we conceptualize guidelines for applied image recognition and showcase their application in a biomedical research project. Next, we illustrate the bottom-up development of a DL backend for an augmented intelligence system in the manufacturing sector. We then turn to the fashion domain and present an artificial curation system for individual fashion outfit recommendations that leverages DL techniques and unstructured data from social media and fashion blogs. After that, we showcase how DL solutions can assist fashion designers in the creative process. Finally, we present our award-winning DL solution for the segmentation of glomeruli in human kidney tissue images that was developed for the Kaggle data science competition HuBMAP - Hacking the Kidney.
The second part continues the development path of the biomedical research project beyond the prototyping stage. Using data from five laboratories, we show that ground truth estimation from multiple human annotators and training of DL model ensembles help to establish objectivity, reliability, and validity in DL-based bioimage analyses.
In the third part, we present deepflash2, a DL solution that addresses the typical challenges encountered during training, evaluation, and application of DL models in bioimaging. The tool facilitates the objective and reliable segmentation of ambiguous bioimages through multi-expert annotations and integrated quality assurance. It is embedded in an easy-to-use graphical user interface and offers best-in-class predictive performance for semantic and instance segmentation under economical usage of computational resources.
Today’s cloud data centers consume an enormous amount of energy, and energy consumption will rise in the future. An estimate from 2012 found that data centers consume about 30 billion watts of power, resulting in about 263TWh of energy usage per year. The energy consumption will rise to 1929TWh until 2030. This projected rise in energy demand is fueled by a growing number of services deployed in the cloud. 50% of enterprise workloads have been migrated to the cloud in the last decade so far. Additionally, an increasing number of devices are using the cloud to provide functionalities and enable data centers to grow. Estimates say more than 75 billion IoT devices will be in use by 2025.
The growing energy demand also increases the amount of CO2 emissions. Assuming a CO2-intensity of 200g CO2 per kWh will get us close to 227 billion tons of CO2. This emission is more than the emissions of all energy-producing power plants in Germany in 2020.
However, data centers consume energy because they respond to service requests that are fulfilled through computing resources. Hence, it is not the users and devices that consume the energy in the data center but the software that controls the hardware. While the hardware is physically consuming energy, it is not always responsible for wasting energy. The software itself plays a vital role in reducing the energy consumption and CO2 emissions of data centers. The scenario of our thesis is, therefore, focused on software development.
Nevertheless, we must first show developers that software contributes to energy consumption by providing evidence of its influence. The second step is to provide methods to assess an application’s power consumption during different phases of the development process and to allow modern DevOps and agile development methods. We, therefore, need to have an automatic selection of system-level energy-consumption models that can accommodate rapid changes in the source code and application-level models allowing developers to locate power-consuming software parts for constant improvements. Afterward, we need emulation to assess the energy efficiency before the actual deployment.
The epithelial layer of the gastrointestinal (GI) tract provides a barrier between the environment and the body. Dysfunction of the epithelium, including changes of the innate immune response facilitated by pattern recognition receptors (PRRs), plays a major role in the development of GI disorders. However, the organization of innate immune sensing, the expression and activity of PRRs and the factors contri¬buting to such possible organization along the GI tract are unclear. In recent years, stem cell-derived organoids gained increasing attention as promising tissue models. Here, a biobank of human and murine organoids comprising three lines from each GI segment; corpus, pylorus, duodenum, jejunum, ileum, colon was generated. RNA sequencing of 42 lines confirmed the preservation of tissue identity and revealed an extensive organization of innate immune signaling components along the cephalocaudal axis, giving each segment a specific innate immune profile. Comple-menting the region-specific expression analysis, several PRRs in human and murine organoids showed region- and species-specific function. To investigate the factors contributing to the patterning of innate immunity in the GI tract, the impact of microbial components was analyzed using murine embryo-derived, never colonized gastric and proximal intestinal organoids. Transcriptional profiling of embryo-derived organoids showed that while expression of some PRRs may depend on environmental cues as expected, an unexpectedly large part of segment-specific expression of PRR signaling components is independent of prior contact with microbial products. Further, analysis of published RNA-seq data as well as in vitro experiments using directed differentiation of organoids into specific cell types showed that expression of innate immune gene also depended on cellular differentiation along the crypt-villus axis. This underlined the importance of cellular differentiation rather than contact to microbial compounds for expression of PRRs. Lastly, analysis of published datasets of RNA-seq and ATAC-seq after knockout of the intestinal transcription factor Cdx2 demonstrated that Cdx2 is likely important for the expression of Nlrp6 and Naip1 in the murine intestine. Future experiments have to support these preliminary findings. Taken together, the expression of a large part of epithelial innate immunity is develop¬mentally defined and conserved in tissue-resident stem cells. The identification of mechanisms governing expression of genes related to immunity will provide further insights into the mechanisms that play a role in the progress of inflammatory diseases.
Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing.
Human attention is strongly attracted by direct gaze and sudden onset motion. The sudden direct-gaze effect refers to the processing advantage for targets appearing on peripheral faces that suddenly establish eye contact. Here, we investigate the necessity of social information for attention capture by (sudden onset) ostensive cues. Six experiments involving 204 participants applied (1) naturalistic faces, (2) arrows, (3) schematic eyes, (4) naturalistic eyes, or schematic facial configurations (5) without or (6) with head turn to an attention-capture paradigm. Trials started with two stimuli oriented towards the observer and two stimuli pointing into the periphery. Simultaneous to target presentation, one direct stimulus changed to averted and one averted stimulus changed to direct, yielding a 2 × 2 factorial design with direction and motion cues being absent or present. We replicated the (sudden) direct-gaze effect for photographic faces, but found no corresponding effects in Experiments 2-6. Hence, a holistic and socially meaningful facial context seems vital for attention capture by direct gaze. STATEMENT OF SIGNIFICANCE: The present study highlights the significance of context information for social attention. Our findings demonstrate that the direct-gaze effect, that is, the prioritization of direct gaze over averted gaze, critically relies on the presentation of a meaningful holistic and naturalistic facial context. This pattern of results is evidence in favor of early effects of surrounding social information on attention capture by direct gaze.
We present a technique for computing multi-branch-point covers with prescribed ramification and demonstrate the applicability of our method in relatively large degrees by computing several families of polynomials with symplectic and linear Galois groups.
As a first application, we present polynomials over \(\mathbb{Q}(\alpha,t)\) for the primitive rank-3 groups \(PSp_4(3)\) and \(PSp_4(3).C_2\) of degree 27 and for the 2-transitive group \(PSp_6(2)\) in its actions on 28 and 36 points, respectively. Moreover, the degree-28 polynomial for \(PSp_6(2)\) admits infinitely many totally real specializations.
Next, we present the first (to the best of our knowledge) explicit polynomials for the 2-transitive linear groups \(PSL_4(3)\) and \(PGL_4(3)\) of degree 40, and the imprimitive group \(Aut(PGL_4(3))\) of degree 80.
Additionally, we negatively answer a question by König whether there exists a degree-63 rational function with rational coefficients and monodromy group \(PSL_6(2)\) ramified over at least four points. This is achieved due to the explicit computation of the corresponding hyperelliptic genus-3 Hurwitz curve parameterizing this family, followed by a search for rational points on it. As a byproduct of our calculations we obtain the first explicit \(Aut(PSL_6(2))\)-realizations over \(\mathbb{Q}(t)\).
At last, we present a technique by Elkies for bounding the transitivity degree of Galois groups. This provides an alternative way to verify the Galois groups from the previous chapters and also yields a proof that the monodromy group of a degree-276 cover computed by Monien is isomorphic to the sporadic 2-transitive Conway group \(Co_3\).
Photoelectron spectroscopy proves as a versatile tool for investigating various aspects of the electronic structure in strongly correlated electron systems. Influencing the manifestation of strong correlation in Ce-based surface alloys is the main task of this work. It is shown, that the manifestation of the Kondo ground state is influenced by a multitude of parameters such as the choice of the metal binding partner in binary Ce compounds, the surface alloy layer thickness and accompanying variations in the lattice structure as well as the interfaces to substrate or vacuum. Gaining access to these parameters allows to directly influence essential state variables, such as the f level occupancy nf or the Kondo temperature TK.
The center of this work are the intermetallic thin films of CePt5/Pt(111) and CeAgx/Ag(111). By utilizing different excitation energies, photoemission spectroscopy provides access to characteristic features of Kondo physics in the valence band, such as the Kondo resonance and its spin-orbit partner at the Fermi level, as well as the multiplet structure of the Ce 3d core levels. In this work both approaches are applied to CePt5/Pt(111) to determine nf and TK for a variety of surface alloy layer thicknesses. A temperature dependent study of the Ce 3d core levels allows to determine the systems TK for the different layer thicknesses. This leads to TK ≈200–270K in the thin layer thickness regime and TK >280K for larger layer thicknesses. These results are confirmed by fitting the Ce 3d multiplet based on the Gunnarsson-Schönhammer formalism for core level spectroscopy and additionally by valence band photoemission spectra of the respective Kondo resonances. The influence of varying layer thickness on the manifestation of strong correlation is subsequently studied for the surface alloy CeAgx/Ag(111). Furthermore, the heavy element Bi is added, to investigate the effects of strong spin-orbit coupling on the electronic structure of the surface alloy.
A multitude of human tissues, such as bones, tendons, or muscles, are characterized by a hierarchical and highly ordered structure. In many cases, the loss of these tissues requires reconstruction using biocompatible replacement materials. In the field of bone replacement, the pore structure of the material has a crucial influence. Anisotropic porosity would have the advantage of facilitating the ingrowth of cells and newly formed blood vessels as well as the transport of nutrients.
In this thesis, scaffolds with a highly ordered and anisotropic pore structure were fabricated using unidirectional freezing.
Systematic investigations were carried out on biopolymer solutions (alginate and chitosan) to gain a deeper understanding of the freeze-structuring process. The knowledge gained was then applied to the development of anisotropically structured bone substitute materials. Here, the previously existing material platform for anisotropically structured calcium phosphates was extended to low-temperature phases such as calcium deficient hydroxyapatite (CDHA) or the secondary phosphates monetite and brushite.
After the implantation of a biomaterial, the inevitably triggered initial immune response plays a key role in the success of a graft, with immune cells such as neutrophils or macrophages being of particular importance. In this thesis, the influence of anisotropically structured alpha-TCP and CDHA scaffolds as well as their unstructured references on human monocytes/macrophages was investigated. Macrophages produced extracellular traps (ETs) due to mineral nanoparticles formed by the binding of phosphate and calcium ions to human platelet lysate. In particular, incubation of alpha-TCP samples in lysate containing cell culture medium resulted in pronounced particle formation and enhanced release of ETs.
Impact of cardiovascular risk factors on myocardial work-insights from the STAAB cohort study
(2022)
Myocardial work is a new echocardiography-based diagnostic tool, which allows to quantify left ventricular performance based on pressure-strain loops, and has been validated against invasively derived pressure-volume measurements. Myocardial work is described by its components (global constructive work [GCW], global wasted work [GWW]) and indices (global work index [GWI], global work efficiency [GWE]). Applying this innovative concept, we characterized the prevalence and severity of subclinical left ventricular compromise in the general population and estimated its association with cardiovascular (CV) risk factors. Within the Characteristics and Course of Heart Failure STAges A/B and Determinants of Progression (STAAB) cohort study we comprehensively phenotyped a representative sample of the population of Würzburg, Germany, aged 30-79 years. Indices of myocardial work were determined in 1929 individuals (49.3% female, mean age 54 ± 12 years). In multivariable analysis, hypertension was associated with a mild increase in GCW, but a profound increase in GWW, resulting in higher GWI and lower GWE. All other CV risk factors were associated with lower GCW and GWI, but not with GWW. The association of hypertension and obesity with GWI was stronger in women. We conclude that traditional CV risk factors impact selectively and gender-specifically on left ventricular myocardial performance, independent of systolic blood pressure. Quantifying active systolic and diastolic compromise by derivation of myocardial work advances our understanding of pathophysiological processes in health and cardiac disease.
Background
Correct recognition of risk factors enables individualized management and treatment of venom allergic patients.
Methods
Systematic research and review of current literature regarding the risk of (1) severe sting-induced anaphylaxis, (2) anaphylactic adverse event during venom immunotherapy (VIT), and (3) treatment failure.
Results and discussion
(1) Mastocytosis is the most important risk factor for severe sting-induced anaphylaxis. Hereditary α‑tryptasemia was recently identified as a genetic predictor of severe reactions. Older age is clearly associated with an increased risk; the respective impact of defined cardiovascular comorbidities has yet to be determined. Recent data do not support an aggravation of venom-induced anaphylaxis by intake of β‑blockers or angiotensin-converting enzyme (ACE) inhibitors. A higher risk in men can be attributed to more intensive exposure to stinging insects. (2) Anaphylactic side effects of VIT are most common during the buildup phase, particularly in the course of (ultra-)rush protocols involving a high number of injections and high cumulative daily doses. They are significantly more frequent during honeybee compared to Vespula VIT. Data supporting a negative effect of mastocytosis on the tolerability of VIT are scarce. Older age and cardiovascular medication are not associated with a higher incidence of VIT-induced anaphylaxis. (3) Relapsing anaphylactic reactions to both field and challenge stings are significantly more common during and after honeybee compared to Vespula VIT. Reports of severe field-sting reactions in mastocytosis patients suggest an increased risk of treatment failure which may be overcome by higher maintenance doses and longer duration of VIT.
We prove a sharp Bernstein-type inequality for complex polynomials which are positive and satisfy a polynomial growth condition on the positive real axis. This leads to an improved upper estimate in the recent work of Culiuc and Treil (Int. Math. Res. Not. 2019: 3301–3312, 2019) on the weighted martingale Carleson embedding theorem with matrix weights. In the scalar case this new upper bound is optimal.
The global selection of production sites is a very complex task of great strategic importance for Original Equipment Manufacturers (OEMs), not only to ensure their sustained competitiveness, but also due to the sizeable long-term investment associated with a production site. With this in mind, this work develops a process model with which OEMs can select the most appropriate production site for their specific production activity in practice. Based on a literature analysis, the process model is developed by determining all necessary preparation, by defining the properties of the selection process model, providing all necessary instructions for choosing and evaluating location factors, and by laying out the procedure of the selection process model. Moreover, the selection process model includes a discussion of location factors which are possibly relevant for OEMs when selecting a production site. This discussion contains a description and, if relevant, a macroeconomic analysis of each location factor, an explanation of their relevance for constructing and operating a production site, additional information for choosing relevant location factors, and information and instructions on evaluating them in the selection process model. To be successfully applicable, the selection process model is developed based on the assumption that the production site must not be selected in isolation, but as part of the global production network and supply chain of the OEM and, additionally, to advance the OEM’s related strategic goals. Furthermore, the selection process model is developed on the premise that a purely quantitative model cannot realistically solve an OEM’s complex selection of a production site, that the realistic analysis of the conditions at potential production sites requires evaluating the changes of these conditions over the planning horizon of the production site and that the future development of many of these conditions can only be assessed with uncertainty.
In this thesis, several contributions to the understanding and modeling of chemical phenomena using computational approaches are presented. These investigations are characterized by the usage of non-standard computational modeling techniques, which is necessitated by the complex nature of the electronic structure or atomic fluctuations of the target molecules.
Multiple biradical-type molecules and their spectroscopic properties were modeled. In the course of the investigation, it is found that especially the impact of correct molecular geometries on the computationally predicted absorption properties may be critical. In order to find the correct minimum geometries, Multi-Reference methods may have to be invoked.
The impact of geometry relaxation on the excitonic properties of Perylene Bisimide dimers were investigated. Oftentimes, these geometry factors are neglected in Organic Semiconductor modeling as an approximation. This present investigation suggests that this approximation is not always valid, as certain regimes are identified where geometrical parameters have critical impact on the localization and energetic properties of excitons.
The mechanism of the Triazolinedione (TAD) tyrosine bioconjugation reaction is investigated using quantum-chemical methods. By comparison of different conceivable mechanisms and their energetic ordering, the TAD tyrosine bioconjugation is found to proceed by means of a base-mediated electrophilic aromatic substitution reaction.
The kth nearest neighbor entropy estimation protocol is investigated. This estimator promises accurate entropy estimates even for flexible molecules with multiple structural minima. Our granular investigation of formal and practical properties of the estimator suggests that the uneven variance of a molecule’s vibrational modes is the cause of the observed slow convergence of the estimator. A rescaling procedure to reestablish fast convergence is suggested and benchmarks are performed.
Parkinson’s disease (PD), which is the most common motor neurodegenerative disorder has attracted a tremendous amount of research advancement amid the challenges of the lack of an appropriate model that summate all the features of the human disease. Nevertheless, an aspect of the disease that is yet to be fully elucidated is the role of the immune system particularly the adaptive arm in the pathogenesis of PD. The focus of this study therefore was to characterize the contribution of lymphocytes in PD using the AAV1/2-A53T-α-synuclein mouse model of the disease that encodes for human mutated A53T-α-synuclein. This model was suitable for this research because it reflects more faithfully the molecular pathology underlying the human disease by exhibition of insoluble α-synuclein containing Lewy-like protein aggregates as compared to the more classical toxin models used in PD research. The outcome of this study showed that stereotaxic delivery of pathogenic α-synuclein via a viral vector into the substantia nigra engender the invasion of activated CD4+ and CD8+ T lymphocytes in the brain. The invasion of activated T cells in the brain especially in the substantia nigra then results in enhanced microglial activation and the disintegration of dopaminergic neurons. In addition, it was also discovered that CD4+ T cells augmented dopaminergic cell death to a greater extent than CD8+ T cells although; axonal degeneration occurred relatively independent from T cells contribution. The ex vivo and in vitro, experiments also indicated that the T cells were not only activated but they were specific to the mutated human α-synuclein antigen. As a result, they demonstrated selectivity in inducing more cell death to primary hippocampal neurons transduced with AAV1/2-A53T-α-synuclein vector than neurons with empty viral vector infection. The mechanism of T cell induced neuronal cell loss could not be attributed to the presence of cytokines neither was it mediated through MHC I and II. On the whole, this research has established that the presence of pathogenic α-synuclein in the substantia nigra has the potential to trigger immune responses that involve the transmigration of adaptive immune cells into the brain. The infiltration of the T cells consequently has a detrimental effect on the survival of dopaminergic neurons and the progression of the disease
The human specific gram-negative bacterium Neisseria meningitidis (Nme, meningococci) is a common colonizer of the upper respiratory tract. Upon becoming invasive, Nme can cause meningitis and life-threatening sepsis. The most important immune defense mechanism in invasive meningococcal disease (IMD) is the complement mediated killing of bacteria. The complement cascade is activated through different pathogen associated patterns and finally leads to the lysis of the bacteria by the membrane attack complex. In addition to the direct bacterial killing, the complement system is also an important player in different inflammatory processes. A hallmark of IMD is an overreaction of the immune system and the release of the potent anaphylatoxins C3a and C5a by the complement system is an important factor hereby. There are three anaphylatoxin receptors (ATRs), the C3aR, the C5aR1 and the C5aR2, capable of detecting these anaphylatoxins. It has already been shown that blocking the ATR C5aR1 strongly benefitted the outcome of IMD in a murine sepsis model. However, the roles of ATRs C3aR and C5aR2 in IMD are still unclear. This work aims to analyze the role of these ATRs in meningococcal sepsis and to identify possible underlying mechanisms. Furthermore, a possible involvement of the complement system, the ATRs and the type II CRISPR/Cas system on nasopharyngeal colonization is analyzed.
In vivo depletion experiments showed that without neutrophils or monocytes/macrophages the complement system alone was not able to clear a low dose Nme infection, which highlights the importance of cellular components in IMD. Analyzing the role of the ATRs in knock-out mice with high dose Nme infections, revealed that the lack of C5aR2, like the lack of C5aR1, was beneficial for the outcome of meningococcal induced sepsis. In contrast, the lack of C3aR in knock-out mice was detrimental. The positive outcome associated with the C5aRs could be reproduced by using an antagonist against both C5aRs or an antagonist specifically against C5aR1 in WT mice. These findings are giving hope to future therapeutic applications. Next, a possible contribution of neutrophils to this positive outcome was analyzed. Absence of C5aR1 led to a decrease of degranulation by neutrophils in a murine whole blood model, while the other ATRs showed no effect. Neutrophil analysis in human whole blood, on the other hand, revealed a reduced oxidative burst and IL-8 secretion upon inhibition of all three ATRs. A functional difference between the C5aRs and the C3aR in neutrophils was observed in phagocytosis, which was reduced upon C3aR inhibition, but was unaltered with C5aR1 or C5aR2 inhibition. Possible underlying mechanisms in the phosphorylation of ERK1/2 were analyzed in bone marrow derived macrophages isolated from ATR knock-out mice. The later phosphorylation of ERK1/2 in macrophages without C5aR1 or C5aR2 expression might explain, why blocking the C5aRs is beneficial for the outcome of IMD in mice. In contrast to these findings, the colonization of the nasopharynx in huCEACAM 1 expressing mice by Nme did not seem to depend on the Complement system factors C3 and C5 nor the ATRs. Additionally, no difference in the colonization could be observed in this model using Nme mutants lacking different parts of the type 2 CRISPR/Cas system.
Conclusively, this work highlights the importance of the complement system, the ATRs and the cellular components in IMD. Contrariwise, these factors did not play a role in the analyzed nasopharyngeal infection model. The beneficial effects of C5aR1 and C5aR2 lack/inhibition in IMD might have medicinal applications, which could support the standard therapies of IMD in the future.
Experimental evidence has emerged that local platelet activation contributes to inflammation and infarct formation in acute ischemic stroke (AIS) which awaits confirmation in human studies. We conducted a prospective observational study on 258 consecutive patients undergoing mechanical thrombectomy (MT) due to large-vessel-occlusion stroke of the anterior circulation (08/2018-05/2020). Intraprocedural microcatheter aspiration of 1 ml of local (occlusion condition) and systemic arterial blood samples (self-control) was performed according to a prespecified protocol. The samples were analyzed for differential leukocyte counts, platelet counts, and plasma levels of the platelet-derived neutrophil-activating chemokine C-X-C-motif ligand (CXCL) 4 (PF-4), the neutrophil attractant CXCL7 (NAP-2), and myeloperoxidase (MPO). The clinical-biological relevance of these variables was corroborated by specific associations with molecular-cellular, structural-radiological, hemodynamic, and clinical-functional parameters. Seventy consecutive patients fulfilling all predefined criteria entered analysis. Mean local CXCL4 (+ 39%: 571 vs 410 ng/ml, P = .0095) and CXCL7 (+ 9%: 693 vs 636 ng/ml, P = .013) concentrations were higher compared with self-controls. Local platelet counts were lower (- 10%: 347,582 vs 383,284/µl, P = .0052), whereas neutrophil counts were elevated (+ 10%: 6022 vs 5485/µl, P = 0.0027). Correlation analyses revealed associations between local platelet and neutrophil counts (r = 0.27, P = .034), and between CXCL7 and MPO (r = 0.24, P = .048). Local CXCL4 was associated with the angiographic degree of reperfusion following recanalization (r = - 0.2523, P = .0479). Functional outcome at discharge correlated with local MPO concentrations (r = 0.3832, P = .0014) and platelet counts (r = 0.288, P = .0181). This study provides human evidence of cerebral platelet activation and platelet-neutrophil interactions during AIS and points to the relevance of per-ischemic thrombo-inflammatory mechanisms to impaired reperfusion and worse functional outcome following recanalization.
Editorial
(2022)
Landslide susceptibility assessment in the Chiconquiaco Mountain Range area, Veracruz (Mexico)
(2022)
In Mexico, numerous landslides occur each year and Veracruz represents the state with the third highest number of events. Especially the Chiconquiaco Mountain Range, located in the central part of Veracruz, is highly affected by landslides and no detailed information on the spatial distribution of existing landslides or future occurrences is available. This leaves the local population exposed to an unknown threat and unable to react appropriately to this hazard or to consider the potential landslide occurrence in future planning processes.
Thus, the overall objective of the present study is to provide a comprehensive assessment of the landslide situation in the Chiconquiaco Mountain Range area. Here, the combination of a site-specific and a regional approach enables to investigate the causes, triggers, and process types as well as to model the landslide susceptibility for the entire study area.
For the site-specific approach, the focus lies on characterizing the Capulín landslide, which represents one of the largest mass movements in the area. In this context, the task is to develop a multi-methodological concept, which concentrates on cost-effective, flexible and non-invasive methods. This approach shows that the applied methods complement each other very well and their combination allows for a detailed characterization of the landslide.
The analyses revealed that the Capulín landslide is a complex mass movement type. It comprises rotational movement in the upper parts and translational movement in the lower areas, as well as flow processes at the flank and foot area and therefore, is classified as a compound slide-flow according to Cruden and Varnes (1996). Furthermore, the investigations show that the Capulín landslide represents a reactivation of a former process. This is an important new information, especially with regard to the other landslides identified in the study area. Both the road reconstructed after the landslide, which runs through the landslide mass, and the stream causing erosion processes at the foot of the landslide severely affect the stability of the landslide, making it highly susceptible to future reactivation processes. This is particularly important as the landslide is located only few hundred meters from the village El Capulín and an extension of the landslide area could cause severe damage.
The next step in the landslide assessment consists of integrating the data obtained in the site-specific approach into the regional analysis. Here, the focus lies on transferring the generated data to the entire study area. The developed methodological concept yields applicable results, which is supported by different validation approaches.
The susceptibility modeling as well as the landslide inventory reveal that the highest probability of landslides occurrence is related to the areas with moderate slopes covered by slope deposits. These slope deposits comprise material from old mass movements and erosion processes and are highly susceptible to landslides. The results give new insights into the landslide situation in the Chiconquiaco Mountain Range area, since previously landslide occurrence was related to steep slopes of basalt and andesite.
The susceptibility map is a contribution to a better assessment of the landslide situation in the study area and simultaneously proves that it is crucial to include specific characteristics of the respective area into the modeling process, otherwise it is possible that the local conditions will not be represented correctly.
We construct a foliation of an asymptotically flat end of a Riemannian manifold by hypersurfaces which are critical points of a natural functional arising in potential theory. These hypersurfaces are perturbations of large coordinate spheres, and they admit solutions of a certain over-determined boundary value problem involving the Laplace–Beltrami operator. In a key step we must invert the Dirichlet-to-Neumann operator, highlighting the nonlocal nature of our problem.
Protothecosis is an infectious disease caused by organisms currently classified within the green algal genus Prototheca. The disease can manifest as cutaneous lesions, olecranon bursitis or disseminated or systemic infections in both immunocompetent and immunosuppressed patients. Concerning diagnostics, taxonomic validity is important. Prototheca, closely related to the Chlorella species complex, is known to be polyphyletic, branching with Auxenochlorella and Helicosporidium. The phylogeny of Prototheca was discussed and revisited several times in the last decade; new species have been described. Phylogenetic analyses were performed using ribosomal DNA (rDNA) and partial mitochondrial cytochrome b (cytb) sequence data. In this work we use Internal Transcribed Spacer 2 (ITS2) as well as 18S rDNA data. However, for the first time, we reconstruct phylogenetic relationships of Prototheca using primary sequence and RNA secondary structure information simultaneously, a concept shown to increase robustness and accuracy of phylogenetic tree estimation. Using encoded sequence-structure data, Neighbor-Joining, Maximum-Parsimony and Maximum-Likelihood methods yielded well-supported trees in agreement with other trees calculated on rDNA; but differ in several aspects from trees using cytb as a phylogenetic marker. ITS2 secondary structures of Prototheca sequences are in agreement with the well-known common core structure of eukaryotes but show unusual differences in their helix lengths. An elongation of the fourth helix of some species seems to have occurred independently in the course of evolution.
Any account of intentional action has to deal with the problem of how such actions are individuated. Medieval accounts, however, crucially differ from contemporary ones in at least three respects: (i) for medieval authors, individuation is not a matter of description, as it is according to contemporary, ‘Anscombian’ views; rather, it is a metaphysical matter. (ii) Medieval authors discuss intentional action on the basis of faculty psychology, whereas contemporary accounts are not committed to this kind of psychology. Connected to the use of faculty psychology is (iii) the distinction between interior and exterior acts. Roughly, interior acts are mental as opposed to physical acts, whereas exterior acts are acts of physical powers, such as of moving one’s body. Of course, contemporary accounts are not committed to this distinction between two ontologically different kinds of acts. Rather, they might be committed to views consistent with physicalist approaches to the mind. The main interpretative task in this paper is to clarify how Scotus and Ockham explain moral intentional action in terms of the role and involvement of these kinds of acts respectively. I argue that Scotus’s account is close to contemporary, ‘Anscombian’ accounts, whereas Ockham’s account is incompatible with them.
Relevance of Religiosity for Coping Strategies and Disability in Patients with Fibromyalgia Syndrome
(2022)
Coping strategies are essential for the outcome of chronic pain. This study evaluated religiosity in a cohort of patients with fibromyalgia syndrome (FMS), its effect on pain and other symptoms, on coping and FMS-related disability. A total of 102 FMS patients were recruited who filled in questionnaires, a subgroup of 42 patients participated in a face-to-face interview, and data were evaluated by correlation and regression analyses. Few patients were traditionally religious, but the majority believed in a higher existence and described their spirituality as "transcendence conviction". The coping strategy "praying-hoping" and the ASP dimension "religious orientation" (r = 0.5, P < 0.05) showed a significant relationship independent of the grade of religiosity (P < 0.05). A high grade of belief in a higher existence was negatively associated with the choice of ignoring as coping strategy (r = - 0.4, P < 0.05). Mood and affect-related variables had the highest impact on disability (b = 0.5, P < 0.05). In this cohort, the grade of religiosity played a role in the choice of coping strategies, but had no effects on health and mood outcome.
In the last decades, the classical Vehicle Routing Problem (VRP), i.e., assigning a set of orders to vehicles and planning their routes has been intensively researched. As only the assignment of order to vehicles and their routes is already an NP-complete problem, the application of these algorithms in practice often fails to take into account the constraints and restrictions that apply in real-world applications, the so called rich VRP (rVRP) and are limited to single aspects. In this work, we incorporate the main relevant real-world constraints and requirements. We propose a two-stage strategy and a Timeline algorithm for time windows and pause times, and apply a Genetic Algorithm (GA) and Ant Colony Optimization (ACO) individually to the problem to find optimal solutions. Our evaluation of eight different problem instances against four state-of-the-art algorithms shows that our approach handles all given constraints in a reasonable time.
Purpose
T\(_{1P}\) dispersion quantification can potentially be used as a cardiac magnetic resonance index for sensitive detection of myocardial fibrosis without the need of contrast agents. However, dispersion quantification is still a major challenge, because T\(_{1P}\) mapping for different spin lock amplitudes is a very time consuming process. This study aims to develop a fast and accurate T\(_{1P}\) mapping sequence, which paves the way to cardiac T1ρ dispersion quantification within the limited measurement time of an in vivo study in small animals.
Methods
A radial spin lock sequence was developed using a Bloch simulation-optimized sampling pattern and a view-sharing method for image reconstruction. For validation, phantom measurements with a conventional sampling pattern and a gold standard sequence were compared to examine T\(_{1P}\) quantification accuracy. The in vivo validation of T\(_{1P}\) mapping was performed in N = 10 mice and in a reproduction study in a single animal, in which ten maps were acquired in direct succession. Finally, the feasibility of myocardial dispersion quantification was tested in one animal.
Results
The Bloch simulation-based sampling shows considerably higher image quality as well as improved T\(_{1P}\) quantification accuracy (+ 56%) and precision (+ 49%) compared to conventional sampling. Compared to the gold standard sequence, a mean deviation of - 0.46 ± 1.84% was observed. The in vivo measurements proved high reproducibility of myocardial T\(_{1P}\) mapping. The mean T\(_{1P}\) in the left ventricle was 39.5 ± 1.2 ms for different animals and the maximum deviation was 2.1% in the successive measurements. The myocardial T\(_{1P}\) dispersion slope, which was measured for the first time in one animal, could be determined to be 4.76 ± 0.23 ms/kHz.
Conclusion
This new and fast T\(_{1P}\) quantification technique enables high-resolution myocardial T\(_{1P}\) mapping and even dispersion quantification within the limited time of an in vivo study and could, therefore, be a reliable tool for improved tissue characterization.
Objectives
To assess tooth discoloration induced by different hydraulic calcium silicate-based cements (HCSCs), including effects of blood and placement method.
Materials and methods
Eighty bovine teeth cut to a length of 18 mm (crown 8 mm, root 10 mm) were randomly assigned to 10 groups (n = 8), receiving orthograde apical plug treatment (APT). Apical plugs were 4 mm in length and made of ProRoot MTA (Dentsply), Medcem MTA (Medcem), TotalFill BC RRM Fast Set Putty (Brasseler), or Medcem Medical Portland Cement (Medcem) plus bismuth oxide (Bi2O3) with and without bovine blood. Further, orthograde (with or without preoperative adhesive coronal dentin sealing) and retrograde APT were compared. Teeth were obturated with gutta-percha and sealer, sealed with composite and stored in distilled water. Tooth color was measured on apical plug, gutta-percha/sealer, and crown surface before treatment versus 24 h, 1, 3, 6, 12, and 24 months after treatment by spectrophotometry. Color difference (ΔE) values were calculated and analyzed by Shapiro-Wilk test, ANOVA with post hoc tests, Friedman test, t test, and post hoc tests with Bonferroni correction (α = .05).
Results
Tooth discoloration occurred in all groups with no significant differences between HCSCs (p > .05). After 24 months, color changes were prominent on roots but insignificant on crowns. Blood contamination induced a significantly decreased luminescence (p < .05). Blood had a stronger impact on tooth color than Bi2O3. No relevant effects of retrograde placement (p > .05) or preoperative dentin sealing (p > .05) were detected.
Conclusions
Apical plugs of the tested HCSCs cause discoloration of bovine roots, but not discoloration of bovine tooth crowns within a 24-month period.
Clinical relevance
APT should be performed carefully while avoiding direct contact with the coronal dentin, and in that case no aesthetic impairments occur.
Depression in the perinatal period is common in mothers worldwide. Emerging research indicates that fathers are also at risk of developing perinatal depression. However, knowledge regarding biological risk factors and pathophysiological mechanisms of perinatal depression is still scarce, particularly in fathers. It has been suggested that the neurotrophin BDNF may play a role in maternal perinatal depression; however, there is currently no data regarding paternal perinatal depression. For this pilot study, 81 expecting parents were recruited and assessed at several time points. We screened for depression using EPDS and MADRS, investigated several psychosocial variables, and took blood samples for BDNF val66met genotyping, epigenetic, and protein analysis. Between pregnancy and 12 months postpartum (pp), we found that 3.7 to 15.7% of fathers screened positive for depression, and 9.6 to 24% of mothers, with at least a twofold increased prevalence in both parents using MADRS compared with EPDS. We also identified several psychosocial factors associated with perinatal depression in both parents. The data revealed a trend that lower BDNF levels correlated with maternal depressive symptoms at 3 months pp. In the fathers, no significant correlations between BDNF and perinatal depression were found. Pregnant women demonstrated lower BDNF methylation and BDNF protein expression compared with men; however, these were found to increase postpartum. Lastly, we identified correlations between depressive symptoms and psychosocial/neurobiological factors. The data suggest that BDNF may play a role in maternal perinatal depression, but not paternal.
Quantum point contacts (QPCs) are one-dimensional constrictions in an otherwise extended two-dimensional electron or hole system. Since their first realization in GaAs based two-dimensional electron gases, QPCs have become basic building blocks of mesoscopic physics and are used in manifold experimental contexts. A so far unrealized goal however is the implementation of QPCs in the new material class of two-dimensional topological insulators, which host the emergence of the so-called quantum spin Hall (QSH) effect. The latter is characterized by the formation of conducting one-dimensional spin-polarized states at the device edges, while the bulk is insulating. Consequently, an implemented QPC technology can be utilized to bring the QSH edge channels in close spatial proximity, thus for example enabling the study of interaction effects between the edge states. The thesis at hand describes the technological realization as well as the subsequent experimental characterization and analysis of QPCs in a QSH system for the first time.
After an introduction is given in Chapter 1, the subsequent Chapter 2 starts with discussing the peculiar band structure of HgTe. The emergence of the QSH phase for HgTe quantum wells with an inverted band structure is explained. For the band inversion to occur, the quantum wells have to exhibit a well thickness d_QW above a critical value (d_QW > d_c = 6.3 nm). Subsequently, the concept of QPCs is explicated and the corresponding transport behaviour is analytically described. Following the discussion of relevant constraints when realizing a QPC technology in a QSH system, a newly developed lithography process utilizing a multi-step wet etching technique for fabricating QPC devices based on HgTe quantum wells is presented. Transport measurements of exemplary devices show the expected conductance quantization in steps of ΔG ≈ 2e^2/h within the conduction band for a topological as well as for a trivial (d_QW < d_c) QPC. For the topological case, the residual conductance within the bulk band gap saturates at G_QSH ≈ 2e^2/h due to presence of the QSH state, while it drops to G ≈ 0 for the trivial device. Moreover, bias voltage dependent measurements of the differential conductance of an inverted sample provide explicit proof of the unperturbed coexistence of topological and trivial transport modes.
In a next step, Chapter 3 describes the emergence of a QSH interferometer state in narrow QPC devices with a quantum well thickness of d_QW = 7 nm. Presented band structure calculations reveal that the spatial extension of the QSH edge states depends on the position of the Fermi energy within the bulk band gap. As a consequence, reservoir electrons with randomized spin couple to both edge channels with the same probability under certain conditions, thus causing the formation of a QSH ring. A straightforward model capturing and specifying the occurrence of such a QSH interferometer is provided as well as substantiated by two experimental plausibility checks. After relevant quantum phases are theoretically introduced, the discussion of the obtained data reveals the accumulation of an Aharonov-Bohm phase, of a dynamical Aharonov-Casher phase as well as of a spin-orbit Berry phase of π in appropriate QPC devices. These results are consistent with analytic model considerations.
The last part of this thesis, Chapter 4, covers the observation of an unexpected conductance pattern for QPC samples fabricated from quantum wells with d_QW = 10.5 nm. In these devices, an anomalous plateau at G ≈ e^2/h = 0.5 x G_QSH emerges in addition to the QSH phase entailed residual conductance of G_QSH ≈ 2e^2/h. This so-called 0.5 anomaly occurs only for a specific interval of QPC width values, while it starts to get lost for too large sample widths. Furthermore, presented temperature and bias voltage dependent measurements insinuate that the emergence of the 0.5 anomaly is related to a gapped topological state. Additional characterization of this peculiar transport regime is provided by the realization of a novel device concept, which integrates a QPC within a standard Hall bar geometry. The results of the experimental analysis of such a sample link the occurrence of the 0.5 anomaly to a backscattered QSH channel. Thus, following a single particle perspective argumentation, it is reasoned that only one edge channel is transmitted in the context of the 0.5 anomaly. Two theoretic models possibly explaining the emergence of the 0.5 anomaly -- based on electron-electron interactions -- are discussed.
To conclude, the implementation of a working QPC technology in a QSH system represents a paramount development in the context of researching two-dimensional topological insulators and enables a multitude of future experiments. QPC devices realized in a QSH system are for example envisaged to allow for the detection of Majorana fermions and parafermions. Furthermore, the reported formation of a QSH interferometer state in appropriate QPC devices is of high interest. The observed dynamical Aharonov-Casher phase in the QSH regime enables a controllable modulation of the topological conductance, thus providing the conceptual basis for a topological transistor. Moreover, due to the resilience of geometric phases against dephasing, the presence of a spin-orbit Berry phase of π represents a promising perspective with regard to possible quantum computation concepts. Besides that, the transmission of only one QSH edge channel due to the emergence of the 0.5 anomaly is equivalent to 100 % spin polarization, which is an essential ingredient for realizing spintronic applications. Hence, the thesis at hand covers the experimental detection of three effects of fundamental importance in the context of developing new generations of logic devices -- based on QPCs fabricated from topological HgTe quantum wells.
Spectroscopic methods were established decades ago in a wide variety of fields. This also applies to the pharmaceutical field, although they initially were mostly used for identity testing or structure elucidation only. Technical developments, such as miniaturization (NMR benchtop devices), Fourier transformations (for NMR, MIR spectroscopy) or the combination with chemometric evaluation (e.g., in Process Analytical Technology, PAT), have further increased their importance and opened up new applications. The aim of this work was to investigate further new approaches and to find new applications for already established methods and to show their benefits.
By means of MIR, NIR and NMR data and their chemometric evaluation (principal component analysis, PCA; hierarchical cluster analysis, HCA; linear discriminant analysis, LDA), possibilities were presented to successfully determine the manufacturer or the pharmaceutical company of various paracetamol preparations. In the course of this, various similarities and correlations between the preparations of individual companies could also be identified. For this purpose, a suitable sample preparation was developed for each spectroscopic method, and suitable measurement parameters in order to obtain reproducible spectra for the chemometric evaluation were determined. Furthermore, the results of the two unsupervised methods (HCA, PCA) were compared with each other. The HCA was able to confirm those of the PCA for the very most part. Additionally, through these methods it was possible to characterize many of the preparations based on clusters formed by comparable tablet compositions.
In order to be able to measure unmortared, whole tablets using the NIR spectrometer, an attachment was developed and manufactured using 3D printing. Its functionality was demonstrated by measuring and analyzing the tablets of two different batches of nine paracetamol preparations. The batches were clearly distinguished on the basis of a PCA and a significant difference was also demonstrated by means of statistical tests.
For NMR spectroscopy, a method was developed to obtain optimized "fingerprint" spectra of drug formulations. For this purpose, a 1D DOSY measurement was elaborated, in which the signals of the active ingredient could be filtered out by the appropriate choice of measurement parameters. The chemometric evaluation can thus focus on the remaining signals of the excipients, on the basis of which the preparations of the same API can be distinguished. Especially in the case of formulations that consist largely of active ingredient, data pre processing of the spectra can thus be simplified and greater importance can be assigned to the originally very small excipient signals.
A quantitative 1H NMR method was developed for the comparison of a high field spectrometer (400 MHz) with a benchtop spectrometer (80 MHz) for two finished drugs. It was shown that it is possible to obtain comparable results with both instruments, but that the influence of the excipients on the signals and the lower resolution of the benchtop instrument must be taken into account. Therefore, it was not possible to obtain comparable results without further optimization of the method for one of the active ingredients.
In the investigation of various reactions between APIs and excipients using DOSY, its usefulness as a screening method in stability testing was demonstrated. For this purpose, three different APIs and excipients were stressed together and the reaction mixtures were subsequently measured using DOSY. Based on the translational diffusion coefficient, the reaction products could be identified and distinguished from the active ingredients and the excipients used. The importance of thoughtful processing could also be demonstrated. If all peak heights are selected when evaluating signals split by direct spin spin coupling, this allows the detection of hidden signals as long as not all signals have the same diffusion coefficient. The selective selection of individual peak heights in the case of split signals also enables the evaluation of signals that overlap slightly. However, the limitations of this method were also shown when two signals overlap too much and differ too little in their diffusion coefficients.
Hence, it has been successfully demonstrated in the various projects that the new chemometric approaches, as well as the new applications of already established methods, enable in depth findings and thus have a clear added value.
Background
Locked dislocations of the glenohumeral joint are disabling and often painful conditions and the treatment is challenging. This study evaluates the functional outcome and the different prosthetic treatment options for chronic locked dislocations of the glenohumeral joint and a subclassification is proposed.
Methods
In this single-center retrospective case series, all patients with a chronic locked dislocation treated surgically during a four-year period were analyzed. Constant score (CS), Quick Disabilities of Shoulder and Hand Score (DASH), patient satisfaction (subjective shoulder value (SSV)), revision rate and glenoid notching were analyzed.
Results
26 patients presented a chronic locked dislocation of the glenohumeral joint. 16 patients (62%) with a mean age of 75 [61-83] years were available for follow-up at 24 ± 18 months. CS improved significantly from 10 ± 6 points to 58 ± 21 points (p < 0.0001). At the final follow-up, the mean DASH was 27 ± 23 and the mean SSV was 58 ± 23 points. The complication rate was 19% and the revision rate was 6%; implant survival was 94%. Scapular notching occurred in 2 (13%) cases (all grade 1).
Conclusion
With good preoperative planning and by using the adequate surgical technique, good clinical short-term results with a low revision rate can be achieved. The authors suggest extending the Boileau classification for fracture sequelae type 2 and recommend using a modified classification to facilitate the choice of treatment as the suggested classification system includes locked posterior and anterior dislocations with and without glenoid bone loss.
Introduction
Reverse shoulder arthroplasty (RSA) leads to medialization and distalization of the centre of rotation of the shoulder joint resulting in lengthening of the deltoid muscle. Shear wave ultrasound elastography (SWE) is a reliable method for quantifying tissue stiffness. The purpose of this study was to analyse if deltoid muscle tension after RSA correlates with the patients' pain level. We hypothesized that higher deltoid muscle tension would be associated with increased pain.
Material and methods
Eighteen patients treated with RSA were included. Constant score (CS) and pain level on the visual analogue scale (VAS) were analysed and SWE was performed on both shoulders. All three regions of the deltoid muscle were examined in resting position and under standardized isometric loading.
Results
Average patient age was 76 (range 64-84) years and average follow-up was 15 months (range 4-48). The average CS was 66 points (range 35-89) and the average pain level on the VAS was 1.8 (range 0.5-4.7). SWE revealed statistically significant higher muscle tension in the anterior and middle deltoid muscle region in patients after RSA compared to the contralateral non-operated side. There was a statistically significant correlation between pain level and anterior deltoid muscle tension.
Conclusion
SWE revealed increased tension in the anterior and middle portion of the deltoid muscle after RSA in a clinical setting. Increased tension of the anterior deltoid muscle portion significantly correlated with an increased pain level. SWE is a powerful, cost-effective, quick, dynamic, non-invasive, and radiation-free imaging technique to evaluate tissue elasticity in the shoulder with a wide range of applications.
Chemical synapses are a physically and functionally varied type of cell-cell contact specialized in conducting communication between neurons. They are the smallest "computational" unit of the brain and are often classified as electrical and chemical, and they can be distinguished based on their transmission mechanism. These categories could be further broken into many kinds, each having a specific structure-function repertoire that is hypothesized to provide neural networks with distinct computational capabilities. Heterogeneity refers to the variety of structures and functions present in a particular category of synapses. Contributing factors for this heterogeneity may be the synaptic vesicles, the active zone (AZ), the synaptic cleft, the postsynaptic density, and the glial processes associated with the synaptic contacts. Each of these five structural modules has its own set of functions, and their combination determines the spectrum of functional heterogeneity at mammalian excitatory synapses. This work focused on the changes in AZ protein expression after chemical induction of plasticity with forskolin in synaptic contacts of the hippocampal mossy fibers. With the nanoscopic resolution provided by dSTORM, along with the multicolor SIM imaging capabilities, changes in expression of key presynaptic AZ components were analyzed. Using SIM imaging along with a standardized stimulation protocol in acute brain slices from male 16-week old Thy1-mEGFP (Lsi1) mice, the changes of the key AZ proteins Bassoon, Munc 13-1 and Tomosyn were investigated 30 min after stimulation with forskolin (50 μM for 30 min). Forskolin induced changes in these proteins largely in small synaptic contacts whereas no clear changes were detected in large mossy fiber boutons. However, due to the high variability it cannot be ruled out that forskolin may differentially modify AZ protein composition depending on experimental circumstances such as age and gender of mice or the time point and duration of forskolin stimulation. The dSTORM data demonstrated feasibility to perform single molecule 3D imaging of hippocampal presynaptic AZs and allowed quantitative mapping of molecular changes in AZ proteins after induction of plasticity. The findings suggest high heterogeneity in mossy fiber synaptic contacts that may have an impact on the function of neural networks. These imaging approaches may now be used to identify potential differences in functional molecular rearrangements of synaptic proteins in healthy and diseased brain (e.g. after induction of traumatic brain injury).
Methionine is the first amino acid of every newly synthesised protein. In combination with its role as precursor for the vital methyl-group donor S-adenosylmethionine, methionine is essential for every living cell. The opportunistic human pathogen Staphylococcus aureus is capable of synthesising methionine de novo, when it becomes scarce in the environment. All genes required for the de novo biosynthesis are encoded by the metICFE-mdh operon, except for metX. Expression is controlled by a hierarchical network with a methionyl-tRNA-specific T-box riboswitch (MET-TBRS) as centrepiece, that is also referred to as met leader (RNA). T-box riboswitches (TBRS) are regulatory RNA elements located in the 5’-untranslated region (5’-UTR) of genes. The effector molecule of T-box riboswitches is uncharged cognate tRNA. The prevailing mechanism of action is premature termination of transcription of the nascent RNA in the absence of the effector (i.e. uncharged cognate tRNA) due to formation of a hairpin structure, the Terminator stem. In presence of the effector, a transient stabilisation of the alternative structure, the Antiterminator, enables transcription of the downstream genes (‘read-through’). Albeit, after the read-through the thermodynamically more stable Terminator eventually forms. The Terminator and the Antiterminator are two mutually exclusive structures. Previous work of the research group showed that in staphylococci the MET-TBRS ensures strictly methionine-dependent control of met operon expression. Uncharged methionyl-tRNA that activates the system is only present in sufficient amounts under methionine-deprived conditions. In contrast to other bacterial TBRS, the staphylococcal MET-TBRS has some characteristic features regarding its length and predicted secondary structure whose relevance for the function are yet unkown.
Aim of the present thesis was to experimentally determine the structure of the met leader RNA and to investigate the stability of the met operon-specific transcripts in the context of methionine biosynthesis control. Furthermore, the yet unknown function of the mdh gene within the met operon was to be determined.
In the context of this thesis, the secondary structure of the met leader was determined employing in-line probing. The structural analysis revealed the presence of almost all highly conserved T-box riboswitch structural characteristics. Furthermore, three additional stems, absent in all T-box riboswitches analysed to date, could be identified. Particularly remarkable is the above average length of the Terminator stem which renders it a potential target of the double-strand-specific endoribonuclease III (RNase III). The RNase III-dependent cleavage of the met leader could be experimentally verified by the use of suitable mutants. Moreover, the exact cleavage site within the Terminator was determined.
The unusual immediate separation of the met leader from the met operon mRNA via the RNase III cleavage within the Terminator stem induces the rapid degradation of the met leader RNA and, most likely, that of the 5’-region of the met mRNA. The met mRNA is degraded from its 5’-end by the exoribonuclease RNase J. The stability of the met mRNA was found to vary over the length of the transcript with an instable 5’-end (metI and metC) and a longer half-life towards the 3’-end (metE and mdh). The varying transcript stability is reflected by differences in the available cellular protein levels. The obtained data suggest that programmed mRNA degradation is another level of regulation in the complex network of staphylococcal de novo methionine biosynthesis control.
In addition, the MET-TBRS was studied with regard to a future use as a drug target for novel antimicrobial agents. To this end, effects of a dysregulated methionine biosynthesis on bacterial growth and survival were investigated in met leader mutants that either caused permanent transcription of the met operon (‘ON’) or prevented operon transcription (‘OFF’), irrespective of the methionine status in the cell. Methionine deprivation turned out to be a strong selection pressure, as ‘OFF’ mutants acquired adaptive mutations within the met leader to restore met operon expression that subsequently re-enabled growth.
The second part of the thesis was dedicated to the characterisation of the Mdh protein that is encoded by the last gene of the met operon and whose function is unknown yet. At first, co-transcription and -expression with the met operon could be demonstrated. Next, the Mdh protein was overexpressed and purified and the crystal structure of Mdh was solved to high resolution by the Kisker research group (Rudolf-Virchow-Zentrum Würzburg). Analysis of the structure revealed the amino acid residues crucial for catalytic activity, and zinc was identified as a co-factor of Mdh. Also, Mdh was shown to exist as a dimer. However, identification of the Mdh substrate was, in the context of this thesis, (still) unsuccessful. Nevertheless, interactions of Mdh with enzymes of the met operon could be demonstrated by employing the bacterial two-hybrid system. This fact and the high conservation of mdh/Mdh on nucleotide and amino acid level among numerous staphylococcal species suggests an important role of Mdh within the methionine metabolism that should be a worthwhile subject of future research.
In this work, we consider impulsive dynamical systems evolving on an infinite-dimensional space and subjected to external perturbations. We look for stability conditions that guarantee the input-to-state stability for such systems. Our new dwell-time conditions allow the situation, where both continuous and discrete dynamics can be unstable simultaneously. Lyapunov like methods are developed for this purpose. Illustrative finite and infinite dimensional examples are provided to demonstrate the application of the main results. These examples cannot be treated by any other published approach and demonstrate the effectiveness of our results.
A bipartite graph G=(U,V,E) is convex if the vertices in V can be linearly ordered such that for each vertex u∈U, the neighbors of u are consecutive in the ordering of V. An induced matching H of G is a matching for which no edge of E connects endpoints of two different edges of H. We show that in a convex bipartite graph with n vertices and m weighted edges, an induced matching of maximum total weight can be computed in O(n+m) time. An unweighted convex bipartite graph has a representation of size O(n) that records for each vertex u∈U the first and last neighbor in the ordering of V. Given such a compact representation, we compute an induced matching of maximum cardinality in O(n) time. In convex bipartite graphs, maximum-cardinality induced matchings are dual to minimum chain covers. A chain cover is a covering of the edge set by chain subgraphs, that is, subgraphs that do not contain induced matchings of more than one edge. Given a compact representation, we compute a representation of a minimum chain cover in O(n) time. If no compact representation is given, the cover can be computed in O(n+m) time. All of our algorithms achieve optimal linear running time for the respective problem and model, and they improve and generalize the previous results in several ways: The best algorithms for the unweighted problem versions had a running time of O(n\(^{2}\)) (Brandstädt et al. in Theor. Comput. Sci. 381(1–3):260–265, 2007. https://doi.org/10.1016/j.tcs.2007.04.006). The weighted case has not been considered before.
Usher syndrome, the most prevalent cause of combined hereditary vision and hearing impairment, is clinically and genetically heterogeneous. Moreover, several conditions with phenotypes overlapping Usher syndrome have been described. This makes the molecular diagnosis of hereditary deaf-blindness challenging. Here, we performed exome sequencing and analysis on 7 Mexican and 52 Iranian probands with combined retinal degeneration and hearing impairment (without intellectual disability). Clinical assessment involved ophthalmological examination and hearing loss questionnaire. Usher syndrome, most frequently due to biallelic variants in MYO7A (USH1B in 16 probands), USH2A (17 probands), and ADGRV1 (USH2C in 7 probands), was diagnosed in 44 of 59 (75%) unrelated probands. Almost half of the identified variants were novel. Nine of 59 (15%) probands displayed other genetic entities with dual sensory impairment, including Alström syndrome (3 patients), cone-rod dystrophy and hearing loss 1 (2 probands), and Heimler syndrome (1 patient). Unexpected findings included one proband each with Scheie syndrome, coenzyme Q10 deficiency, and pseudoxanthoma elasticum. In four probands, including three Usher cases, dual sensory impairment was either modified/aggravated or caused by variants in distinct genes associated with retinal degeneration and/or hearing loss. The overall diagnostic yield of whole exome analysis in our deaf-blind cohort was 92%. Two (3%) probands were partially solved and only 3 (5%) remained without any molecular diagnosis. In many cases, the molecular diagnosis is important to guide genetic counseling, to support prognostic outcomes and decisions with currently available and evolving treatment modalities.
Safety behavior prevents the occurrence of threat, thus it is typically considered adaptive. However, safety behavior in anxiety-related disorders is often costly, and persists even the situation does not entail realistic threat. Individuals can engage in safety behavior to varying extents, however, these behaviors are typically measured dichotomously (i.e., to execute or not). To better understand the nuances of safety behavior, this study developed a dimensional measure of safety behavior that had a negative linear relationship with the admission of an aversive outcome. In two experiments, a Reward group receiving fixed or individually calibrated incentives competing with safety behavior showed reduced safety behavior than a Control group receiving no incentives. This allowed extinction learning to a previously learnt warning signal in the Reward group (i.e., updating the belief that this stimulus no longer signals threat). Despite the Reward group exhibited extinction learning, both groups showed a similar increase in fear to the warning signal once safety behavior was no longer available. This null group difference was due to some participants in the Reward group not incentivized enough to disengage from safety behavior. Dimensional assessment revealed a dissociation between low fear but substantial safety behavior to a safety signal in the Control group. This suggests that low-cost safety behavior does not accurately reflect the fear-driven processes, but also other non-fear-driven processes, such as cost (i.e., engage in safety behavior merely because it bears little to no cost). Pinpointing both processes is important for furthering the understanding of safety behavior.
A part of the plant kingdom consists of a variety of carnivorous plants. Some trap their prey
using sticky leaves, others have pitfall traps where prey cannot escape once it has fallen inside.
A rare trap type is the snap-trap: it appears only twice in the plant kingdom, in the genera
Aldrovanda and Dionaea. Even Charles Darwin himself described Dionaea muscipula, the
Venus flytrap, with the following words “This plant, commonly called Venus' fly-trap, from the
rapidity and force of its movements, is one of the most wonderful in the world”. For a long
time now, the mechanisms of Dionaea’s prey recognition, capture and utilization are of
interest for scientists and have been studied intensively.
Dionaea presents itself with traps wide-open, ready to catch insects upon contact. For this,
the insect has to touch the trigger hairs of the opened trap twice within about 20-30 seconds.
Once the prey is trapped, the trap lobes close tight, forming a hermetically sealed “green
stomach”.
Until lately, there was only limited knowledge about the molecular and hormonal mechanisms
which lead to prey capture and excretion of digestive fluids. It is known that the digestion
process is very water-consuming; therefore, the interplay of digestion-inducing and digestion inhibiting
substances was to be analyzed in this work, to elucidate the fine-tuning of the
digestive pathway. Special attention was given to the impact of phytohormones on mRNA
transcript levels of digestion-related proteins after various stimuli as well as their effect on
Dionaea’s physiological responses.
Jasmonic acid (JA) and its isoleucine-conjugated form, JA-Ile, are an important signal in the
jasmonate pathway. In the majority of non-carnivorous plants, jasmonates are critical for the
defense against herbivory and pathogens. In Dionaea, this defense mechanism has been
restructured towards offensive prey catching. One question in this work was how the
frequency of trigger hair bendings is related to the formation of jasmonates and the induction
of the digestion process. Upon contact of a prey with the trigger hairs in the inside of the trap,
the trap closes and jasmonates are produced biosynthetically. JA-Ile interacts with the COI1-
receptor, thereby activating the digestion pathway which leads to the secretion of digestive
fluid and production of transporters needed to take up prey-derived nutrients. In this work it
could be shown that the number of trigger hair bendings is positively correlated with the level
and duration of transcriptional induction of several digestive enzymes/hydrolases.
Abscisic acid (ABA) acts, along with many other functions, as the plant “drought stress
hormone”. It is synthesized either by roots as the primary sensor for water shortage or by
guard cells in the leaves. ABA affects a network of several thousand genes whose regulation
prepares the plant for drought and initiates protective measurements. It was known from
previous work that the application of ABA for 48 hours increased the required amount of
trigger hair bendings to achieve trap closure. As the digestion process is very water-intensive,
the question arose how exactly the interplay between the jasmonate- and the ABA-pathway
is organized, and if ABA could stop the running digestion process once it had been activated.
In the present work it could be shown that the application of ABA on intact traps prior to
mechanically stimulating the trigger hairs (mechanostimulation) already significantly reduced
the transcription of digestive enzymes for an incubation time as short as 4 h, showing that
already short-term exposure to ABA counteracts the effects of jasmonates when it comes to
initiating the digestion process, but does not inhibit trap closure. Incubation for 24 and 48
hours with 100 μM active ABA had no effect on trap reopening, only very high levels of 200
μM of active ABA inhibited trap reopening but also led to tissue necrosis. As the application
of ABA could reduce the transcription of digestive hydrolases, it is likely that Dionaea can stop
the digestion process, if corresponding external stimuli are received.
Another factor, which only emerged later, was the effect of the wounding-induced systemic
jasmonate burst. As efficient as ABA was in inhibiting marker hydrolase expression after
mechanostimulation in intact plants, the application of ABA on truncated traps was not able
to inhibit mechanostimulation-induced marker hydrolase expression. One reason might be
that the ABA-signal is perceived in the roots, and therefore truncated traps were not able to
react to it. Another reason might be that the wounding desensitized the tissue for the ABAsignal.
Further research is required at this point.
Inhibitors of the jasmonate pathway were also used to assess their effect on the regulation of
Dionaea´s hunting cycle. Coronatine-O-methyloxime proved to be a potent inhibitor of
mechanostimulation-induced expression of digestive enzymes, thus confirming the key
regulatory role of jasmonates for Dionaea´s prey consumption mechanism.
In a parallel project, the generation of in vitro cultures from sterilized seeds and single plant
parts proved successful, which may be important for stock-keeping of future transgenic lines.
Protoplasts were generated from leaf blade tissue and transiently transformed, expressing the
reporter protein YFP after 24 h of incubation. In the future this might be the starting point for
the generation of transgenic lines or the functional testing of DNA constructs.
Emergent phenomena in condensed matter physics like, e.g., magnetism, superconductivity, or non-trivial topology often come along with a surprise and exert great fascination to researchers up to this day. Within this thesis, we are concerned with the analysis of associated types of order that arise due to strong electronic interactions and focus on the high-\(T_c\) cuprates and Kondo systems as two prime candidates. The underlying many-body problem cannot be solved analytically and has given rise to the development of various approximation techniques to tackle the problem.
In concrete terms, we apply the auxiliary particle approach to investigate tight-binding Hamiltonians subject to a Hubbard interaction term to account for the screened Coulomb repulsion. Thereby, we adopt the so-called Kotliar-Ruckenstein slave-boson representation that reduces the problem to non-interacting quasiparticles within a mean-field approximation. Part I provides a pedagogical review of the theory and generalizes the established formalism to encompass Gaussian fluctuations around magnetic ground states as a crucial step to obtaining novel results.
Part II addresses the two-dimensional one-band Hubbard model, which is known to approximately describe the physics of the high-\(T_c\) cuprates that feature high-temperature superconductivity and various other exotic quantum phases that are not yet fully understood. First, we provide a comprehensive slave-boson analysis of the model, including the discussion of incommensurate magnetic phases, collective modes, and a comparison to other theoretical methods that shows that our results can be massively improved through the newly implemented fluctuation corrections. Afterward, we focus on the underdoped regime and find an intertwining of spin and charge order signaled by divergences of the static charge susceptibility within the antiferromagnetic domain. There is experimental evidence for such inhomogeneous phases in various cuprate materials, which has recently aroused interest because such correlations are believed to impact the formation of Cooper pairs. Our analysis identifies two distinct charge-ordering vectors, one of which can be attributed to a Fermi-surface nesting effect and quantitatively fits experimental data in \(\mathrm{Nd}_{2-\mathrm{x}}\mathrm{Ce}_\mathrm{x}\mathrm{CuO}_4\) (NCCO), an electron-doped cuprate compound. The other resembles the so-called Yamada relation implying the formation of periodic, double-occupied domain walls with a crossover to phase separation for small dopings.
Part III investigates Kondo systems by analyzing the periodic Anderson model and its generalizations. First, we consider Kondo metals and detect weakly magnetized ferromagnetic order in qualitative agreement with experimental observations, which hinders the formation of heavy fermions. Nevertheless, we suggest two different parameter regimes that could host a possible Kondo regime in the context of one or two conduction bands. The part is concluded with the study of topological order in Kondo insulators based on a three-dimensional model with centrosymmetric spin-orbit coupling. Thereby, we classify topologically distinct phases through appropriate \(\mathbb{Z}_2\) invariants and consider paramagnetic and antiferromagnetic mean-field ground states. Our model parameters are chosen to specifically describe samarium hexaboride (\(\mbox{SmB}_6\)), which is widely believed to be a topological Kondo insulator, and we identify topologically protected surface states in agreement with experimental evidence in that material. Moreover, our theory predicts the emergence of an antiferromagnetic topological insulator featuring one-dimensional hinge-states as the signature of higher-order topology in the strong coupling regime. While the nature of the true ground state is still under debate, corresponding long-range magnetic order has been observed in pressurized or alloyed \(\mbox{SmB}_6\), and recent experimental findings point towards non-trivial topology under these circumstances. The ability to understand and control topological systems brings forth promising applications in the context of spintronics and quantum computing.
Aims
We aimed to analyze prevalence and predictors of NOAC off-label under-dosing in AF patients before and after the index stroke.
Methods
The post hoc analysis included 1080 patients of the investigator-initiated, multicenter prospective Berlin Atrial Fibrillation Registry, designed to analyze medical stroke prevention in AF patients after acute ischemic stroke.
Results
At stroke onset, an off-label daily dose was prescribed in 61 (25.5%) of 239 NOAC patients with known AF and CHA2DS2-VASc score ≥ 1, of which 52 (21.8%) patients were under-dosed. Under-dosing was associated with age ≥ 80 years in patients on rivaroxaban [OR 2.90, 95% CI 1.05-7.9, P = 0.04; n = 29] or apixaban [OR 3.24, 95% CI 1.04-10.1, P = 0.04; n = 22]. At hospital discharge after the index stroke, NOAC off-label dose on admission was continued in 30 (49.2%) of 61 patients. Overall, 79 (13.7%) of 708 patients prescribed a NOAC at hospital discharge received an off-label dose, of whom 75 (10.6%) patients were under-dosed. Rivaroxaban under-dosing at discharge was associated with age ≥ 80 years [OR 3.49, 95% CI 1.24-9.84, P = 0.02; n = 19]; apixaban under-dosing with body weight ≤ 60 kg [OR 0.06, 95% CI 0.01-0.47, P < 0.01; n = 56], CHA2DS2-VASc score [OR per point 1.47, 95% CI 1.08-2.00, P = 0.01], and HAS-BLED score [OR per point 1.91, 95% CI 1.28-2.84, P < 0.01].
Conclusion
At stroke onset, off-label dosing was present in one out of four, and under-dosing in one out of five NOAC patients. Under-dosing of rivaroxaban or apixaban was related to old age. In-hospital treatment after stroke reduced off-label NOAC dosing, but one out of ten NOAC patients was under-dosed at discharge.
Purpose
Flexible endoscopic evaluation of swallowing (FEES\(^{®}\)) is a standard diagnostic tool in dysphagia. The combination of FEES® and narrow band light (narrow band imaging; NBI) provides a more precise and detailed investigation method. So far, this technique could only be performed with the NBI illumination. The new version of the "professional image enhancement technique" (PIET) provides another image enhancing system. This study investigates the eligibility of PIET in the FEES\(^{®}\) procedure.
Methods
Both techniques, NBI and PIET, were compared using a target system. Furthermore, the image enhancement during FEES\(^{®}\) was performed and recorded with the two systems during daily routine.
Results
Performing an image enhancement during FEES\(^{®}\) is possible with both systems PIET and NBI. On the target system, the contrast of the PIET showed a brighter and a more detailed picture. In dysphagia patients, no difference between PIET and NBI was detected.
Conclusion
PIET proved to be non-inferior to NBI during image enhancement FEES\(^{®}\). So far, image enhancement FEES\(^{®}\) was exclusively connected to NBI. With the PIET system, an alternative endoscopy technology is available for certain indications.
Deep neck infections with and without mediastinal involvement: treatment and outcome in 218 patients
(2022)
Purpose
Infections of the deep neck, although becoming scarcer due to the widespread use of antibiotics, still represent a dangerous and possibly deadly disease, especially when descending into the mediastinum. Due to the different specialities involved in the treatment and the heterogenous presentation of the disease, therapeutic standard is still controversial. This study analyzes treatment and outcome in these patients based on a large retrospective review and proposes a therapeutic algorithm.
Methods
The cases of 218 adult patients treated with deep neck abscesses over a 10-year period at a tertiary university hospital were analyzed retrospectively. Clinical, radiological, microbiological and laboratory findings were compared between patients with and without mediastinal involvement.
Results
Forty-five patients (20.64%) presented with abscess formation descending into the mediastinum. Those patients had significantly (all items p < 0.0001) higher rates of surgical interventions (4.27 vs. 1.11) and tracheotomies (82% vs. 3.4%), higher markers of inflammation (CRP 26.09 vs. 10.41 mg/dl), required more CT-scans (3.58 vs. 0.85), longer hospitalization (39.78 vs 9.79 days) and more frequently needed a change in antibiotic therapy (44.44% vs. 6.40%). Multi-resistant pathogens were found in 6.67% vs. 1.16%. Overall mortality rate was low with 1.83%.
Conclusion
Despite of the high percentage of mediastinal involvement in the present patient collective, the proposed therapeutic algorithm resulted in a low mortality rate. Frequent CT-scans, regular planned surgical revisions with local drainage and lavage, as well as an early tracheotomy seem to be most beneficial regarding the outcome.
Purpose
For further improvements in cochlear implantation, the measurement of the cochlear duct length (CDL) and the determination of the electrode contact position (ECP) are increasingly in the focus of clinical research. Usually, these items were investigated by multislice computed tomography (MSCT). The determination of ECP was only possible by research programs so far. Flat-panel volume computed tomography (fpVCT) and its secondary reconstructions (fpVCT\(_{SECO}\)) allow for high spatial resolution for the visualization of the temporal bone structures. Using a newly developed surgical planning software that enables the evaluation of CDL and the determination of postoperative ECP, this study aimed to investigate the combination of fpVCT and otological planning software to improve the implementation of an anatomically based cochlear implantation.
Methods
Cochlear measurements were performed utilizing surgical planning software in imaging data (MSCT, fpVCT and fpVCT\(_{SECO}\)) of patients with and without implanted electrodes.
Results
Measurement of the CDL by the use of an otological planning software was highly reliable using fpVCT\(_{SECO}\) with a lower variance between the respective measurements compared to MSCT. The determination of the inter-electrode-distance (IED) between the ECP was improved in fpVCT\(_{SECO}\) compared to MSCT.
Conclusion
The combination of fpVCT\(_{SECO}\) and otological planning software permits a simplified and more reliable analysis of the cochlea in the pre- and postoperative setting. The combination of both systems will enable further progress in the development of an anatomically based cochlear implantation.
Purpose
Audiology is an essential service for some patient groups and some interventions. This article sets forth experience-based recommendations for how audiological centers can continue to safely and effectively function during COVID-19.
Methods
The recommendations are the result of panel discussion and are based on the clinical experience of the panelists/authors.
Results
The recommendations cover which patient groups and which interventions should be treated when and whether this can be performed in the clinic or remotely; how to maintain the safety of workplace via optimizing patient flow within the clinic and the sanitation of rooms and equipment; and overcoming communication challenges that COVID-19 intensifies.
Conclusion
For essential audiological services to continue under COVID-19, safety measures must be implemented and maintained, and treatment and communication strategies must be adapted to offset communication difficulties due to personal protective equipment (PPE) and social distancing and to bolster patient confidence. In short, it is vital that staff feel safe, that patients either feel the clinic is safe enough to visit or that remote treatment may be an option, and that clinics and patients have a broad agreement on the urgency of any needed service. We hope that these recommendations help clinics effectively accomplish these goals.
Purpose
Electrosurgery is the gold-standard procedure for the treatment of cervical dysplasia. The quality of the outcome depends on the accuracy of performance, which underlines the role of adequate training of surgeons, especially, as this procedure is often performed by novice surgeons. According to our knowledge, medical simulation has up until now lacked a model, which focuses on realistically simulating the treatment of cervical dysplasia with the concerning anatomy.
Methods and Result
In our work, we present a model created using 3D printing for holistically simulating diagnostic, as well as surgical interventions of the cervix, as realistically as possible.
Conclusion
This novel simulator is compared to an existing model and both are evaluated. By doing so, we aim to provide novice gynecologists with standardized and high-quality simulation models for practicing to improve their proficiency.
Establishing a cardiac training group for patients with heart failure: the "HIP-in-Würzburg" study
(2022)
Background
Exercise training in heart failure (HF) is recommended but not routinely offered, because of logistic and safety-related reasons. In 2020, the German Society for Prevention&Rehabilitation and the German Society for Cardiology requested establishing dedicated ""HF training groups."" Here, we aimed to implement and evaluate the feasibility and safety of one of the first HF training groups in Germany.
Methods
Twelve patients (three women) with symptomatic HF (NYHA class II/III) and an ejection fraction ≤ 45% participated and were offered weekly, physician-supervised exercise training for 1 year. Patients received a wrist-worn pedometer (M430 Polar) and underwent the following assessments at baseline and after 4, 8 and 12 months: cardiopulmonary exercise test, 6-min walk test, echocardiography (blinded reading), and quality of life assessment (Kansas City Cardiomyopathy Questionnaire, KCCQ).
Results
All patients (median age [quartiles] 64 [49; 64] years) completed the study and participated in 76% of the offered 36 training sessions. The pedometer was worn ≥ 1000 min per day over 86% of the time. No cardiovascular events occurred during training. Across 12 months, NT-proBNP dropped from 986 pg/ml [455; 1937] to 483 pg/ml [247; 2322], and LVEF increased from 36% [29;41] to 41% [32;46]%, (p for trend = 0.01). We observed no changes in exercise capacity except for a subtle increase in peak VO2% predicted, from 66.5 [49; 77] to 67 [52; 78]; p for trend = 0.03. The physical function and social limitation domains of the KCCQ improved from 60 [54; 82] to 71 [58; 95, and from 63 [39; 83] to 78 [64; 92]; p for trend = 0.04 and = 0.01, respectively. Positive trends were further seen for the clinical and overall summary scores.
Conclusion
This pilot study showed that the implementation of a supervised HF-exercise program is feasible, safe, and has the potential to improve both quality of life and surrogate markers of HF severity. This first exercise experiment should facilitate the design of risk-adopted training programs for patients with HF.
Summary
Chapters I & II: General Introduction & General Methods
Agriculture is confronted with a rampant loss of biodiversity potentially eroding ecosystem service potentials and adding up to other stressors like climate change or the consequences of land-use change and intensive management. To counter this ‘biodiversity crisis’, agri-environment schemes (AES) have been introduced as part of ecological intensification efforts. These AES combine special management regimes with the establishment of tailored habitats to create refuges for biodiversity in agricultural landscapes and thus ensure biodiversity mediated ecosystem services such as pest control. However, little is known about how well different AES habitats fulfil this purpose and whether they benefit ecosystem services in adjacent crop fields. Here I investigated how effective different AES habitats are for restoring biodiversity in different agricultural landscapes (Chapter V) and whether they benefit natural pest control in adjacent oilseed rape (Chapter VI) and winter cereal fields (Chapter VII). I recorded biodiversity and pest control potentials using a variety of different methods (Chapters II, V, VI & VII). Moreover, I validated the methodology I used to assess predator assemblages and predation rates (Chapters III & IV).
Chapter III: How to record ground dwelling predators?
Testing methodology is critical as it ensures scientific standards and trustworthy results. Pitfall traps are widely used to record ground dwelling predators, but little is known about how different trap types affect catches. I compared different types of pitfall traps that had been used in previous studies in respect to resulting carabid beetle assemblages. While barrier traps collected more species and deliver more complete species inventories, conventional simple pitfall traps provide reliable results with comparatively little handling effort. Placing several simple pitfall traps in the field can compensate the difference while still saving handling effort.
Chapter IV: How to record predation rates?
A plethora of methods has been proposed and used for recording predation rates, but these have rarely been validated before use. I assessed whether a novel approach to record predation, the use of sentinel prey cards with glued on aphids, delivers realistic results. I compared different sampling efforts and showed that obtained predation rates were similar and could be linked to predator (carabid beetle) densities and body-sizes (a proxy often used for food intake rates). Thus, the method delivers reliable and meaningful predation rates.
Chapter V: Do AES habitats benefit multi-taxa biodiversity?
The main goal of AES is the conservation of biodiversity in agricultural landscapes. I investigated how effectively AES habitats with different temporal continuity fulfil this goal in differently structured landscapes. The different AES habitats investigated had variable effects on local biodiversity. Temporal continuity of AES habitats was the most important predictor with older, more temporally continuous habitats harbouring higher overall biodiversity and different species assemblages in most taxonomic groups than younger AES habitats. Results however varied among taxonomic groups and natural enemies were equally supported by younger habitats. Semi-natural habitats in the surrounding landscape and AES habitat size were of minor importance for local biodiversity and had limited effects. This stresses that newly established AES habitats alone cannot restore farmland biodiversity. Both AES habitats as well as more continuous semi-natural habitats synergistically increase overall biodiversity in agricultural landscapes.
Chapter VI: The effects of AES habitats on predators in adjacent oilseed rape fields
Apart from biodiversity conservation, ensuring ecosystem service delivery in agricultural landscapes is a crucial goal of AES. I therefore investigated the effects of adjacent AES habitats on ground dwelling predator assemblages in oilseed rape fields. I found clear distance decay effects from the field edges into the field centres on both richness and densities of ground dwelling predators. Direct effects of adjacent AES habitats on assemblages in oilseed rape fields however were limited and only visible in functional traits of carabid beetle assemblages. Adjacent AES habitats doubled the proportion of predatory carabid beetles indicating a beneficial role for pest control. My results show that pest control potentials are largest close to the field edges and beneficial effects are comparably short ranged.
Chapter VII: The effects of AES habitats on pest control in adjacent cereal fields
Whether distance functions and potential effects of AES habitats are universal across crops is unknown. Therefore, I assessed distance functions of predators, pests, predation rates and yields after crop rotation in winter cereals using the same study design as in the previous year. Resulting distance functions were not uniform and differed from those found in oilseed rape in the previous year, indicating that the interactions between certain adjacent habitats vary with habitat and crop types. Distance functions of cereal-leaf beetles (important cereal pests) and parasitoid wasps were moreover modulated by semi-natural habitat proportion in the surrounding landscapes. Field edges buffered assemblage changes in carabid beetle assemblages over crop rotation confirming their important function as refuges for natural enemies. My results emphasize the beneficial role of field edges for pest control potentials. These findings back the calls for smaller field sizes and more diverse, more heterogeneously structured agricultural landscapes.
Chapter VIII: General Discussion
Countering biodiversity loss and ensuring ecosystem service provision in agricultural landscapes is intricate and requires strategic planning and restructuring of these landscapes. I showed that agricultural landscapes could benefit maximally from (i) a mixture of AES habitats and semi-natural habitats to support high levels of overall biodiversity and from (ii) smaller continuously managed agricultural areas (i.e. smaller field sizes or the insertion of AES elements within large fields) to maximize natural pest control potentials in crop fields. I propose a mosaic of younger AES habitats and semi-natural habitats to support ecosystem service providers and increase edge density for ecosystem service spillover into adjacent crops. The optimal extent and density of this network as well as the location in which AES and semi-natural habitats interact most beneficially with adjacent crops need further investigation. My results provide a further step towards more sustainable agricultural landscapes that simultaneously allow biodiversity to persist and maintain agricultural production under the framework of ecological intensification.
Analysis of Drug Impurities by Means of Chromatographic Methods: Targeted and Untargeted Approaches
(2022)
The presented works aimed on the analysis of new impurities in APIs and medicinal products. Different subtypes of LC were coupled to suitable detection methods, i.e. UV and various MS techniques, depending on the chemical natures of the analytes and the analytical task.
Unexpected impurities in medicinal products and APIs caused several scandals in the past, concomitant with fatalities or severe side effects in human and veterinary patients. The detection of nitrosamines in sartans led to the discovery of nitrosamines in various other drugs, of which the antibiotic rifampicin was analyzed in this work. An examination of the synthesis of rifampicin revealed a high potential for the formation of 4-methyl-1-nitrosopiperazine (MeNP). An LC-MS/HRMS method suitable for the quantification of MeNP was applied in the analysis of drugs collected from Brazil, Comoros, India, Nepal, and Tanzania, where a single dose of rifampicin is used in the post-exposure prophylaxis of leprosy. All batches were contaminated with MeNP, ranging from 0.7-5.1 ppm. However, application of rifampicin containing up to 5 ppm MeNP was recommended by the regulatory authorities for the post-exposure prophylaxis of leprosy.
In the 1990s the aminoglycoside antibiotic gentamicin attracted attention after causing fatalities in the USA, but the causative agent was never identified unequivocally. The related substance sisomicin was recognized as a lead impurity by the Holzgrabe lab at the University of Würzburg: sisomicin was accompanied by a variety of other impurities and batches containing sisomicin had caused the fatalities. In 2016, anaphylactic reactions were reported after application of gentamicin. A contamination of the medicinal products with histamine, an impurity of the raw material fish peptone used upon the production, could be identified as the cause of the adverse effects. Batches of gentamicin sulfate, which had been stored at the University of Würzburg since the earlier investigations, were analyzed regarding their contamination with histamine to determine whether the biogenic amine was responsible for the 1990s fatalities as well. Furthermore, a correlation with the lead impurity sisomicin was checked. Histamine could be detected in all analyzed batches, but at a lower level than in the batches responsible for the anaphylactic reactions. Moreover, there is no correlation of histamine with the lead impurity sisomicin. Hence, the causative agent for the 1990s fatalities was not histamine and remains unknown.
Another source of impurities is the reaction of APIs with excipients, e.g. the esterification of naproxen with PEG 600 in soft gel capsules. The influence of the formulation’s composition on this reaction was investigated by means of LC-UV. Therefore, the impurity naproxen-PEG-ester (NPEG) was synthesized and used for the development of a method suitable for the analysis of soft gel capsule formulations. Different formulations were stressed for 7 d at 60 °C and the relative amount of NPEG was determined. The formation of NPEG was influenced by the concentrations of water and lactic acid, the pH, and the drug load of the formulation, which can easily be explained by the chemistry behind esterification reactions.
Keeping in mind the huge variety of sources of impurities, it might be impossible to predict all potential impurities of a drug substance/product. Targeted and untargeted approaches were combined in the impurity profiling of bisoprolol fumarate. Eight versions of an LC-HRMS method were developed to enable the detection of a maximum number of impurities: an acidic and a basic buffered LC was coupled to MS detection applying ESI and APCI, both in positive in negative mode. MS and MS/MS data were acquired simultaneously by information dependent acquisition. In the targeted approach, potential impurities were derived from a reaction matrix based on the synthesis route of the API, while the untargeted part was based on general unknown comparative screening to identify additional signals. 18 and 17 impurities were detected in the targeted and the untargeted approach, respectively. The molecular formulae were assessed based on the exact mass and the isotope pattern. Theoretical fragment spectra generated by in silico fragmentation were matched with experimental data to estimate the plausibility of proposed/elucidated structures. Moreover, the detected impurities were quantified with respect to an internal standard.
In this work, a bridge was built between the so-far separate fields of spin defects and 2D systems: for the first time, an optically addressable spin defect (VB-) in a van der Waals material (hexagonal boron nitride) was identified and exploited. The results of this thesis are divided into three topics as follows:
1.) Identification of VB-:
In the scope of this chapter, the defect ,the negatively charged boron vacancy VB-, is identified and characterized. An initialization and readout of the spin state can be demonstrated optically at room temperature and its spin Hamiltonian contributions can be quantified.
2.) Coherent Control of VB-:
A coherent control is required for the defect to be utilized for quantum applications, which
A series of donor-acceptor macrocyclic architectures comprising oligothiophene strands that connect the imide positions of a perylene bisimide have been synthesized via a platinum-mediated cross-coupling strategy. The target structures were characterized by steady-state UV/Vis absorption, fluorescence and transient absorption spectroscopy, as well as cyclic and differential pulse voltammetry. Crystal structure analysis of the macrocycles revealed insights into the bridge arrangements. The properties of the macrocyclic bridges were compared to linear oligothiophene reference compounds which itself exhibited an unusual electrochemical effect.
Overcoming Obstacles in the Aqueous Processing of Nickel-rich Layered Oxide Cathode Materials
(2022)
The implementation of a water-based cathode manufacturing process is attractive, given the prospect of improved sustainability of future lithium-ion batteries. However, the sensitivity of many cathode materials to water poses a huge challenge.
Within the scope of this work, a correlation between the water sensitivity of cathode materials from the class of layered oxides and their elemental composition was identified. In particular for the cathode material LiNi0.8Co0.15Al0.05O2 (NCA), the processes taking place in aqueous medium were clarified in detail. Based on this knowledge, the surface of NCA particles could be specifically modified, which led to a reduced water sensitivity. As a result, the electrochemical performance of cells with water-based NCA cathodes was significantly improved and a remarkable long-term cycling performance was achieved.
The present work contributes to a deeper understanding of the water sensitivity of cathode materials and at the same time presents a promising approach to overcome this obstacle. Consequently, this work advances the successful widespread realization of water-based cathode manufacturing.
Optogenetics became successful in neuroscience with Channelrhodopsin-2 (ChR2), a light-gated cation channel from the green alga Chlamydomonas reinhardtii, as an easy applicable tool. The success of ChR2 inspired the development of various photosensory proteins as powerful actuators for optogenetic manipulation of biological activity. However, the current optogenetic toolbox is still not perfect and further improvements are desirable. In my thesis, I engineered and characterized several different optogenetic tools with new features.
(i) Although ChR2 is the most often used optogenetic actuator, its single-channel conductance and its Ca2+ permeability are relatively low. ChR2 variants with increased Ca2+ conductance were described recently but a further increase seemed possible. In addition, the H+ conductance of ChR2 may lead to cellular acidification and unintended pH-related side effects upon prolonged illumination. Through rational design, I developed several improved ChR2 variants with larger photocurrent, higher cation selectivity, and lower H+ conductance.
(ii) The light-activated inward chloride pump NpHR is a widely used optogenetic tool for neural silencing. However, pronounced inactivation upon long time illumination constrains its application for long-lasting neural inhibition. I found that the deprotonation of the Schiff base underlies the inactivation of NpHR. Through systematically exploring optimized illumination schemes, I found illumination with blue light alone could profoundly increase the temporal stability of the NpHR-mediated photocurrent. A combination of green and violet light eliminates the inactivation effect, similar to blue light, but leading to a higher photocurrent and therefore better light-induced inhibition.
(iii) Photoactivated adenylyl cyclases (PACs) were shown to be useful for light-manipulation of cellular cAMP levels. I developed a convenient in-vitro assay for soluble PACs that allows their reliable characterization. Comparison of different PACs revealed that bPAC from Beggiatoa is the best optogenetic tool for cAMP manipulation, due to its high efficiency and small size. However, a residual activity of bPAC in the dark is unwanted and the cytosolic localization prevents subcellular precise cAMP manipulation. I therefore introduced point mutations into bPAC to reduce its dark activity. Interestingly, I found that membrane targeting of bPAC with different linkers can remarkably alter its activity, in addition to its localization. Taken together, a set of PACs with different activity and subcellular localization were engineered for selection based on the intended usage. The membrane-bound PM-bPAC 2.0 with reduced dark activity is well-tolerated by hippocampal neurons and reliably evokes a transient photocurrent, when co-expression with a CNG channel.
(iv) Bidirectional manipulation of cell activity with light of different wavelengths is of great importance in dissecting neural networks in the brain. Selection of optimal tool pairs is the first and most important step for dual-color optogenetics. Through N- and C-terminal modifications, an improved ChR variant (i.e. vf-Chrimson 2.0) was engineered and selected as the red light-controlled actuator for excitation. Detailed comparison of three two-component potassium channels, composed of bPAC and the cAMP-activated potassium channel SthK, revealed the superior properties of SthK-bP. Combining vf-Chrimson 2.0 and improved SthK-bP “SthK(TV418)-bP” could reliably induce depolarization by red light and hyperpolarization by blue light. A residual tiny crosstalk between vf-Chrimson 2.0 and SthK(TV418)-bP, when applying blue light, can be minimized to a negligible level by applying light pulses or simply lowering the blue
light intensity.
Forests are multi-functional system, which have to fulfil different objectives at the same time. The main functions include the production of wood, storage of carbon, the promotion of biological diversity and the provision of recreational space. Yet, global forests are affected by large and intense natural disturbances, like bark beetle infestations. While natural disturbances threaten wood production and are perceived as ‘catastrophe’ diminishing recreational value, biodiversity can benefit from the disturbance-induced changes in forest structures. This trade-off poses a dilemma to managers of bark beetle affected stands, particularly in protected areas designated to both nature conservation and recreation. Forest landscapes need a sustainable management concept aligning these different objectives. In order to support this goal with scientific knowledge, the aim of this work is to analyse ecological and social effects along a gradient of different disturbance severities. In this context, I studied the effects of a disturbance severity gradient on the diversity of different taxonomic groups including vascular plants, mosses, lichens, fungi, arthropods and birds in five national parks in Central Europe. To analyse the recreational value of the landscape I conducted visitor surveys in the same study areas in which the biodiversity surveys were performed. To analyse possible psychological or demographic effects on preferences for certain disturbance intensities, an additional online survey was carried out.
G-protein-coupled receptors (GPCRs) are key biological switches that transmit both internal and external stimuli into the cell interior. Among the GPCRs, the “light receptor” rhodopsin has been shown to activate with a re-arrangement of the transmembrane helix bundle within ≈1 ms, while all other receptors are thought to become activated in subsecond range at saturating concentrations. Here we investigate activation kinetics of a dimeric GPCR, the metabotropic glutamate receptor-1 (mGluR1), and several class A GPCRs, as muscarinic receptor 3 (M3R), adrenergic (α2aAR and β1R) and opioid (µOR) receptors. We first used UV-light-triggered uncaging of glutamate in intact cells. Sub-millisecond Förster resonance energy transfer recordings between labels at intracellular receptor sites were used to record conformational changes in the mGluR1. At millimolar ligand concentrations the initial rearrangement between the mGluR1 subunits occurs at a speed of τ1≈1-2 ms. These rapid changes were followed by significantly slower conformational changes in the transmembrane domain (τ2≈20 ms). We further characterized novel photoswitchable negative allosteric modulators for mGluR1, which bind to its transmembrane core and block the conformational change as well as the downstream signaling. Effects of the compounds were quantified in pharmacological cell assays in the dark and using UV and green light illumination. We finally develop a framework for image-based kinetic analysis of GPCRs which allowed us to measure activation kinetics of several prototypical class A GPCRs and to discover membrane heterogeneities of GPCR activation. It appears that GPCR activation signal is not only dependent on the amount of activated receptors, but also has some level of correlation with the local density of activated receptors.
Puberty is an important period of life with physiological changes to enable animals to reproduce. Xiphophorus fish exhibit polymorphism in body size, puberty timing, and reproductive tactics. These phenotypical polymorphisms are controlled by the Puberty (P) locus. In X. nigrensis and X. multilineatus, the P locus encodes the melanocortin 4 receptor (Mc4r) with high genetic polymorphisms.
Mc4r is a member of the melanocortin receptors, belonging to class A G-protein coupled receptors. The Mc4r signaling system consists of Mc4r, the agonist Pomc (precursor of various MSH and of ACTH), the antagonist Agrp and accessory protein Mrap2. In humans, MC4R has a role in energy homeostasis. MC4R and MRAP2 mutations are linked to human obesity but not to puberty.
Mc4rs in X. nigrensis and X. multilineatus are present in three allele classes, A, B1 and B2, of which the X-linked A alleles express functional receptors and the male-specific Y-linked B alleles encode defective receptors. Male body sizes are correlated with B allele type and B allele copy numbers. Late-maturing large males carry B alleles in high copy number while early-maturing small males carry B alleles in low copy number or only A alleles. Cell culture co-expression experiments indicated that B alleles may act as dominant negative receptor mutants on A alleles.
In this study, the main aim was to biochemically characterize the mechanism of puberty regulation by Mc4r in X. nigrensis and X. multilineatus, whether it is by Mc4r dimerization and/or Mrap2 interaction with Mc4r or other mechanisms. Furthermore, Mc4r in X. hellerii (another swordtail species) and medaka (a model organism phylogenetically close to Xiphophorus) were investigated to understand if the investigated mechanisms are conserved in other species.
In medaka, the Mc4r signaling system genes (mc4r, mrap2, pomc, agrp1) are expressed before hatching, with agrp1 being highly upregulated during hatching and first feeding. These genes are mainly expressed in adult brain, and the transcripts of mrap2 co-localize with mc4r indicating a function in modulating Mc4r signaling. Functional comparison between wild-type and mc4r knockout medaka showed that Mc4r knockout does not affect puberty timing but significantly delays hatching due to the retarded embryonic development of knockout medaka. Hence, the Mc4r system in medaka is involved in regulation of growth rather than puberty.
In Xiphophorus, expression co-localization of mc4r and mrap2 in X. nigrensis and X. hellerii fish adult brains was characterized by in situ hybridization. In both species, large males exhibit strikingly high expression of mc4r while mrap2 shows similar expression level in the large and small male and female. Differently, X. hellerii has only A-type alleles indicating that the puberty regulation mechanisms evolved independently in Xiphophorus genus. Functional analysis of Mrap2 and Mc4r A/B1/B2 alleles of X. multilineatus showed that increased Mrap2 amounts induce higher cAMP response but EC50 values do not change much upon Mrap2 co-expression with Mc4r (expressing only A allele or A and B1 alleles). A and B1 alleles were expressed higher in large male brains, while B2 alleles were only barely expressed. Mc4r A-B1 cells have lower cAMP production than Mc4r A cells. Together, this indicates a role of Mc4r alleles, but not Mrap2, in puberty onset regulation signaling. Interaction studies by FRET approach evidenced that Mc4r A and B alleles can form heterodimers and homodimers in vitro, but only for a certain fraction of the expressed receptors. Single-molecule colocalization study using super-resolution microscope dSTORM confirmed that only few Mc4r A and B1 receptors co-localized on the membrane. Altogether, the species-specific puberty onset regulation in X. nigrensis and X. multilineatus is linked to the presence of Mc4r B alleles and to some extent to its interaction with A allele gene products. This is reasoned to result in certain levels of cAMP signaling which reaches the dynamic or static threshold to permit late puberty in large males.
In summary, puberty onset regulation by dominant negative effect of Mc4r mutant alleles is a special mechanism that is found so far only in X. nigrensis and X. multilineatus. Other Xiphophorus species obviously evolved the same function of the pathway by diverse mechanisms. Mc4r in other fish (medaka) has a role in regulation of growth, reminiscent of its role in energy homeostasis in humans. The results of this study will contribute to better understand the biochemical and physiological functions of the Mc4r system in vertebrates including human.
Malignant melanoma (MM) is the most dangerous type of skin cancer with rising incidences worldwide. Melanoma skin models can help to elucidate its causes and formation or to develop new treatment strategies. However, most of the current skin models lack a vasculature, limiting their functionality and applicability. MM relies on the vascular system for its own supply and for its dissemination to distant body sites via lymphatic and blood vessels. Thus, to accurately study MM progression, a functional vasculature is indispensable. To date, there are no vascularized skin models to study melanoma metastasis in vitro, which is why such studies still rely on animal experimentation.
In the present thesis, two different approaches for the vascularization of skin models are employed with the aim to establish a vascularized 3D in vitro full-thickness skin equivalent (FTSE) that can serve as a test system for the investigation of the progression of MM.
Initially, endothelial cells were incorporated in the dermal part of FTSEs. The optimal seeding density, a spheroid conformation of the cells and the cell culture medium were tested. A high cell density resulted in the formation of lumen-forming shapes distributed in the dermal part of the model. These capillary-like structures were proven to be of endothelial origin by staining for the endothelial cell marker CD31. The established vascularized FTSE (vFTSE) was characterized histologically after 4 weeks of culture, revealing an architecture similar to human skin in vivo with a stratified epidermis, separated from the dermal equivalent by a basement membrane indicated by collagen type IV. However, this random capillary-like network is not functional as it cannot be perfused.
Therefore, the second vascularization approach focused on the generation of a perfusable tissue construct. A channel was molded within a collagen hydrogel and seeded with endothelial cells to mimic a central, perfusable vessel. The generation and the perfusion culture of the collagen hydrogel was enabled by the use of two custom-made, 3D printed bioreactors. Histological assessment of the hydrogels revealed the lining of the channel with a monolayer of endothelial cells, expressing the cell specific marker CD31.
For the investigation of MM progression in vitro, a 3D melanoma skin equivalent was established. Melanoma cells were incorporated in the epidermal part of FTSEs, representing the native microenvironment of the tumor. Melanoma nests grew at the dermo-epidermal junction within the well stratified epidermis and were characterized by the expression of common melanoma markers. First experiments were conducted showing the feasibility of combining the melanoma model with the vFTSE, resulting in skin models with tumors at the dermo-epidermal junction and lumen-like structures in the dermis.
Taken together, the models presented in this thesis provide further steps towards the establishment of a vascularized, perfusable melanoma model to study melanoma progression and metastasis.
Transcription describes the process of converting the information contained in DNA into RNA. Although, tremendous progress has been made in recent decades to uncover this complex mechanism, it is still not fully understood. Given the advances and reduction in cost of high-throughput sequencing experiments, more and more data have been generated to help elucidating this complex process. Importantly, these sequencing experiments produce massive amounts of data that are incomprehensible in their raw form for humans. Further, sequencing techniques are not always 100% accurate and are subject to a certain degree of variability and, in special cases, they might introduce technical artifacts. Thus, computational and statistical methods are indispensable to uncover the information buried in these datasets.
In this thesis, I worked with multiple high throughput datasets from herpes simplex virus 1 (HSV-1) and human cytomegalovirus (HCMV) infections. During the last decade, it has became clear that a gene might not have a single, but multiple sites at which transcription initiates. These multiple transcription start sites (TiSS) demonstrated to have regulatory effects on the gene itself depending on which TiSS is used. Specialized experimental approaches were developed to help identify TiSS (TiSS-profiling). In order to facilitate the identification of all potential TiSS that are used for cell type- and condition-specific transcription, I developed the tool iTiSS. By using a new general enrichment-based approach to predict TiSS, iTiSS proved to be applicable in integrated studies and made it less prone to false positives compared to other TiSS-calling tools. Another improvement in recent years was made in metabolic labeling experiments such as SLAM-seq. Here, they removed the time consuming and laborious step of physically separating new from old RNA in the samples. This was achieved by inducing specific nucleotide conversions in newly synthesized RNA that are later visible in the data. Consequently, the separation of new and old RNA is now done computationally and, hence, tools are needed that accurately quantify these fold-changes. My second tool that I developed, called GRAND-SLAM proved to be capable to accomplish this task and outperform competing programs. As both of my tools, iTiSS and GRAND-SLAM are not specifically tailored to my own goals, but could also facilitate the research of other groups in this field, I made them publicly available on GitHub.
I applied my tools to datasets generated in our lab as well as to publicly available data sets from HSV-1 and HCMV, respectively. For HSV-1, I was able to predict and validate TiSS with nucleotide precision using iTiSS. This has lead to the most comprehensive annotation for HSV-1 to date, which now serves as the fundamental basis of any future transcriptomic research on HSV-1. By combining both my tools, I was further able to uncover parts of the highly complex gene kinetics in HCMV and to resolve the limitations caused by the densely packed genome of HCMV.
With the ever-increasing advances in sequencing techniques and their decrease in cost, the amounts of data produced will continue to rise massively in the future. Additionally, more and more specialized omics approaches are appearing, calling for new tools to leverage their full information potential. Consequently, it has become apparent that specialized computational tools such as iTiSS and GRAND-SLAM are needed and will become an essential and indispensable part of the analysis.
In the Alpine region, the continuous consumption of open spaces for settlement areas and technical infrastructure and the associated soil sealing can be observed. This leads primarily to the loss of agricultural land. Depending on the extent of development, there is also increased landscape fragmentation, which is associated with the isolation of natural habitats and the restriction of ecological connectivity, as well as other negative consequences. The OpenSpaceAlps project has addressed this issue and, based on cooperative procedures in several pilot regions, has developed approaches and solution strategies for the sustainable safeguarding of open spaces. This handbook supports the activities and decision-making of various stakeholders, first and foremost planners in public planning authorities. Based on an analysis of the challenges and framework conditions in the Alpine region, the handbook presents and compares central "principles" of open space planning. Furthermore, integrated planning strategies for different spatial categories are discussed.
RNA-catalysed RNA methylation was recently shown to be part of the catalytic repertoire of ribozymes. The methyltransferase ribozyme MTR1 catalyses the site-specific synthesis of 1-methyladenosine (m\(^1\)A) in RNA, using O\(^6\)-methylguanine (m\(^6\)G) as methyl group donor. Here we report the crystal structure of MTR1 at a resolution of 2.8 Å, which reveals a guanine binding site reminiscent of natural guanine riboswitches. The structure represents the postcatalytic state of a split ribozyme in complex with the m1A-containing RNA product and the demethylated cofactor guanine. The structural data suggest the mechanistic involvement of a protonated cytidine in the methyl transfer reaction. A synergistic effect of two 2'-O-methylated ribose residues in the active site results in accelerated methyl group transfer. Supported by these results, it seems plausible that modified nucleotides may have enhanced early RNA catalysis and that metabolite-binding riboswitches may resemble inactivated ribozymes that have lost their catalytic activity during evolution.
The application of Wireless Sensor Networks (WSNs) with a large number of tiny, cost-efficient, battery-powered sensor nodes that are able to communicate directly with each other poses many challenges.
Due to the large number of communicating objects and despite a used CSMA/CA MAC protocol, there may be many signal collisions.
In addition, WSNs frequently operate under harsh conditions and nodes are often prone to failure, for example, due to a depleted battery or unreliable components.
Thus, nodes or even large parts of the network can fail.
These aspects lead to reliable data dissemination and data storage being a key issue.
Therefore, these issues are addressed herein while keeping latency low, throughput high, and energy consumption reduced.
Furthermore, simplicity as well as robustness to changes in conditions are essential here.
In order to achieve these aims, a certain amount of redundancy has to be included.
This can be realized, for example, by using network coding.
Existing approaches, however, often only perform well under certain conditions or for a specific scenario, have to perform a time-consuming initialization, require complex calculations, or do not provide the possibility of early decoding.
Therefore, we developed a network coding procedure called Broadcast Growth Codes (BCGC) for reliable data dissemination, which performs well under a broad range of diverse conditions.
These can be a high probability of signal collisions, any degree of nodes' mobility, a large number of nodes, or occurring node failures, for example.
BCGC do not require complex initialization and only use simple XOR operations for encoding and decoding.
Furthermore, decoding can be started as soon as a first packet/codeword has been received.
Evaluations by using an in-house implemented network simulator as well as a real-world testbed showed that BCGC enhance reliability and enable to retrieve data dependably despite an unreliable network.
In terms of latency, throughput, and energy consumption, depending on the conditions and the procedure being compared, BCGC can achieve the same performance or even outperform existing procedures significantly while being robust to changes in conditions and allowing low complexity of the nodes as well as early decoding.