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Background: In recent years, health care has increasingly become the focus of public interest, politics, health insurance companies, and research. This includes the development of therapeutic concepts that can respond individually to patients' resources in order to improve coping with chronic diseases. Research into psychosocial and biological resilience factors is very important and the basic objective of the present work. I studied patients with fibromyalgia syndrome (FMS), who suffer among others from chronic pain, fatigue, sleep and gastrointestinal problems. This patient cohort is characterized by a pronounced heterogeneity in terms of clinical outcome, degree in disability and coping. FMS has a prevalence of 3 – 8 % in the Western population and has a significant socio-economic impact. Validated psychosocial resilience factors include optimism, humor, coherence, self-efficacy, awareness with one's own resources and the ability to apply them profitably (coping), and a healthy social environment with positive relationships. Studies in patients with cancer revealed religiosity as positive and negative factor on the health outcome, but there is little data on religious aspects of pain resilience. Various genetic polymorphisms and anti-inflammatory cytokines are known as biological resilience factors. Various microRNA (miRNA) were detected to contribute to resilience in the context of stress and psychiatric disorders. Objective: The underlying research question of this work is to understand the factors that make some FMS patients resilient and others not, even though they suffer from the same disease. The long-term aim was to understand mechanisms and influencing factors of resilience to design preventive and resource-oriented therapies for FMS patients. Material and Methods: Three studies examined religious, physiological, biological, and psychosocial factors which may contribute to resilience in FMS patients. Study one combined data of questionnaires, a psychosocial interview, and regression analyses to investigate the relevance of religiosity for coping and resilience. Study two examined variance explaining factors and defined clusters among FMS patients by their differences in coping, pain phenotype and disability. The factor analysis used variables derived from questionnaires and qPCR of cytokines in white blood samples (WBC) of patients and healthy controls. Study three assessed cluster-wise miRNA signatures which may underly differences in behaviour, emotional and physiological disability, and resilience among patient clusters. A cluster-specific speculative model of a miRNA-mediated regulatory cycle was proposed and its potential targets verified by an online tool. Results: The data from the first study revealed a not very religious patient cohort, which was rather ambivalent towards the institution church, but described itself as a believer. The degree of religiosity played a role in the choice of coping strategy but had no effect on psychological parameters or health outcomes. The coping strategy "reinterpretation", which is closely related iv to the religious coping "reappraisal", had the highest influence on FMS related disability. Cognitive active coping strategies such as reappraisal which belongs to religious coping had the highest effect on FMS related disability (resilience) and could be trained by a therapist. Results from the second study showed high variances of all measured cytokines within the patient group and no difference between patient and control group. The high dispersion indicated cluster among patients. Factor analysis extracted four variance-explaining factors named as affective load, coping, pain, and pro-inflammatory cytokines. Psychological factors such as depression were the most decisive factors of everyday stress in life and represented the greatest influence on the variance of the data. Study two identified four clusters with respective differences in the factors and characterized them as poorly adapted (maladaptive), well adapted (adaptive), vulnerable and resilient. Their naming was based on characteristics of both resilience concepts, indicated by patients who were less stress-sensitive and impaired as a personal characteristic and by patients who emerged as more resilient from a learning and adaptive process. The data from the variance analysis suggests that problem- and emotion-focused coping strategies and a more anti-inflammatory cytokine pattern are associated with low impairment and contribute to resilience. Additional favorable factors include low anxiety, acceptance, and persistence. Some cluster-specific intervention proposals were created that combine existing concepts of behavioral and mindfulness therapies with alternative therapies such as vitamin D supplementation and a healthy intestinal flora. The results of the third study revealed lower relative gene expression of miR103a-3p, miR107, and miR130a-3p in the FMS cohort compared to the healthy controls with a large effect size. The adaptive cluster had the highest gene expression of miR103a-3p and tendentially of miR107, which was correlated with the subscale score "physical abuse" of the trauma questionnaire. Further correlations were found in particular with pain catastrophizing and FMS-related disability. MiR103a-3p and miR107 form a miRNA-family. Based on this, we proposed a miR103a/107 regulated model of an adaptive process to stress, inflammation and pain by targeting genetic factors which are included in different anti-inflammatory and stress-regulating pathways. Conclusion: All three studies provide new insights into resilience in FMS patients. Cognitive coping (reappraisal/reinterpretation) plays a central role and thus offers therapeutic targets (reframing in the context of behavioral therapy). Religosity as a resilience factor was only partially valid for our patient cohort. Basically, the use of resource-oriented therapy in large institutions still requires research and interdisciplinary cooperation to create a consensus between the humanities, natural sciences and humanism.
Miniaturized satellites on a nanosatellite scale below 10kg of total mass contribute most to the number of launched satellites into Low Earth Orbit today. This results from the potential to design, integrate and launch these space missions within months at very low costs. In the past decade, the reliability in the fields of system design, communication, and attitude control have matured to allow for competitive applications in Earth observation, communication services, and science missions. The capability of orbit control is an important next step in this development, enabling operators to adjust orbits according to current mission needs and small satellite formation flight, which promotes new measurements in various fields of space science. Moreover, this ability makes missions with altitudes above the ISS comply with planned regulations regarding collision avoidance maneuvering.
This dissertation presents the successful implementation of orbit control capabilities on the pico-satellite class for the first time. This pioneering achievement is demonstrated on the 1U CubeSat UWE–4. A focus is on the integration and operation of an electric propulsion system on miniaturized satellites. Besides limitations in size, mass, and power of a pico-satellite, the choice of a suitable electric propulsion system was driven by electromagnetic cleanliness and the use as a combined attitude and orbit control system. Moreover, the integration of the propulsion system leaves the valuable space at the outer faces of the CubeSat structure unoccupied for future use by payloads. The used NanoFEEP propulsion system consists of four thruster heads, two neutralizers and two Power Processing Units (PPUs).
The thrusters can be used continuously for 50 minutes per orbit after the liquefaction of the propellant by dedicated heaters. The power consumption of a PPU with one activated thruster, its heater and a neutralizer at emitter current levels of 30-60μA or thrust levels of 2.6-5.5μN, respectively, is in the range of 430-1050mW. Two thruster heads were activated within the scope of in-orbit experiments. The thrust direction was determined using a novel algorithm within 15.7° and 13.2° of the mounting direction. Despite limited controllability of the remaining thrusters, thrust vector pointing was achieved using the magnetic actuators of the Attitude and Orbit Control System.
In mid 2020, several orbit control maneuvers changed the altitude of UWE–4, a first for pico-satellites. During the orbit lowering scenario with a duration of ten days, a single thruster head was activated in 78 orbits for 5:40 minutes per orbit. This resulted in a reduction of the orbit altitude by about 98.3m and applied a Delta v of 5.4cm/s to UWE–4. The same thruster was activated in another experiment during 44 orbits within five days for an average duration of 7:00 minutes per orbit. The altitude of UWE–4 was increased by about 81.2m and a Delta v of 4.4cm/s was applied. Additionally, a collision avoidance maneuver was executed in July 2020, which increased the distance of closest approach to the object by more than 5000m.
One of the major motivations for the analysis and modeling of time series data is the forecasting of future outcomes. The use of interval forecasts instead of point forecasts allows us to incorporate the apparent forecast uncertainty. When forecasting count time series, one also has to account for the discreteness of the range, which is done by using coherent prediction intervals (PIs) relying on a count model. We provide a comprehensive performance analysis of coherent PIs for diverse types of count processes. We also compare them to approximate PIs that are computed based on a Gaussian approximation. Our analyses rely on an extensive simulation study. It turns out that the Gaussian approximations do considerably worse than the coherent PIs. Furthermore, special characteristics such as overdispersion, zero inflation, or trend clearly affect the PIs' performance. We conclude by presenting two empirical applications of PIs for count time series: the demand for blood bags in a hospital and the number of company liquidations in Germany.
Educational robotics is an innovative approach to teaching and learning a variety of different concepts and skills as well as motivating students in the field of Science, Technology, Engineering, and Mathematics (STEM) education. This especially applies to educational robotics competitions such as, for example, the FIRST LEGO League, the RoboCup Junior, or the World Robot Olympiad as out-of-school and goal-oriented approach to educational robotics. These competitions have gained greatly in popularity in recent years and thousands of students participate in these competitions worldwide each year. Moreover, the corresponding technology became more accessible for teachers and students to use it in their classrooms and has arguably a high potential to impact the nature of science education at all levels. One skill, which is said to be benefitting from educational robotics, is problem solving. This thesis understands problem solving skills as engineering design skills (in contrast to scientific inquiry). Problem solving skills count as important skills as demanded by industry leaders and policy makers in the context of 21st century skills, which are relevant for students to be well-prepared for their future working life in today’s world, shaped by an ongoing process of automation, globalization, and digitalization. The overall aim of this thesis is to try to answer the question if educational robotics competitions such as the World Robot Olympiad (WRO) have a positive impact on students’ learning in terms of their problem solving skills (as part of 21st century skills). In detail, this thesis focuses on a) if students can improve their problem solving skills through participation in educational robotics competitions, b) how this skill development is accomplished, and c) the teachers’ support of their students during their learning process in the competition. The corresponding empirical studies were conducted throughout the seasons of 2018 and 2019 of the WRO in Germany. The results show overall positive effects of the participation in the WRO on students’ learning of problem solving skills. They display an increase of students’ problem solving skills, which is not moderated by other variables such as the competition’s category or age group, the students’ gender or experience, or the success of the teams at the competition. Moreover, the results indicate that students develop their problem solving skills by using a systematic engineering design process and sophisticated problem solving strategies. Lastly, the teacher’s role in the educational robotics competitions as manager and guide (in terms of the constructionist learning theory) of the students’ learning process (especially regarding the affective level) is underlined by the results of this thesis. All in all, this thesis contributes to the research gap concerning the lack of systematic evaluation of educational robotics to promote students’ learning by providing more (methodologically) sophisticated research on this topic. Thereby, this thesis follows the call for more rigorous (quantitative) research by the educational robotics community, which is necessary to validate the impact of educational robotics.
The following study, The Integration of Female Refugees in Germany: Perspectives of Women and an Analysis of Federal and Selected State and City Integration Policies from 1998-2019, is focused on the qualitative analysis of integration policy in Germany regarding female refugees. The states of North Rhine-Westphalia, Bavaria, and Saxony-Anhalt have been selected for this dissertation as well as the cities of Cologne, Wuerzburg, and Magdeburg. Through an analysis and comparison of integration policies and programs on the federal and selected state and city levels the question will be answered how recognized female refugees are taken into account with the development and formulation of integration policy in Germany. The analysis is then complemented through interviews with recognized female refugees in each of the states and cities. Through analyzing the results of the interviews the question will be answered how the women view their situation and integration. Through a comparison of the findings from the policy analysis and the interviews it will then be able to decipher if integration policies and programs are truly reaching their target group, if they are effective, or what hurdles they may be producing. The goal of the study is to provide initial findings on the overall integration of recognized female refugees in Germany in connection to integration policies in order to discover potential deficits or ineffective programs and policies which can then be further researched in order to produce concrete policy suggestions.
Owing to climate change, natural forest disturbances and consecutive salvage logging are drastically increasing worldwide, consequently increasing the importance of understanding how these disturbances would affect biodiversity conservation and provision of ecosystem services.
In chapter II, I used long-term water monitoring data and mid-term data on α-diversity of twelve species groups to quantify the effects of natural disturbances (windthrow and bark beetle) and salvage logging on concentrations of nitrate and dissolved organic carbon (DOC) in streamwater and α-diversity. I found that natural disturbances led to a temporal increase of nitrate concentrations in streamwater, but these concentrations remained within the health limits recommended by the World Health Organization for drinking water. Salvage logging did not exert any additional impact on nitrate and DOC concentrations, and hence did not affect streamwater quality. Thus, neither natural forest disturbances in watersheds nor associated salvage logging have a harmful effect on the quality of the streamwater used for drinking water. Natural disturbances increased the α-diversity in eight out of twelve species groups. Salvage logging additionally increased the α-diversity of five species groups related to open habitats, but decreased the biodiversity of three deadwood-dependent species groups.
In chapter III, I investigated whether salvage logging following natural disturbances (wildfire and windthrow) altered the natural successional trajectories of bird communities. I compiled data on breeding bird assemblages from nine study areas in North America, Europe and Asia, over a period of 17 years and tested whether bird community dissimilarities changed over time for taxonomic, functional and phylogenetic diversity when rare, common and dominant species were weighted differently. I found that salvage logging led to significantly larger dissimilarities than expected by chance and that these dissimilarities persisted over time for rare, common and dominant species, evolutionary lineages, and for rare functional groups. Dissimilarities were highest for rare, followed by common and dominant species.
In chapter IV, I investigated how β-diversity of 13 taxonomic groups would differ in intact, undisturbed forests, disturbed, unlogged forests and salvage-logged forests 11 years after a windthrow and salvage logging. The study suggests that both windthrow and salvage logging drive changes in between-treatment β-diversity, whereas windthrow alone seems to drive changes in within-treatment β-diversity. Over a decade after the windthrow at the studied site, the effect of subsequent salvage logging on within-treatment β-diversity was no longer detectable but the effect on between-treatment β-diversity persisted, with more prominent changes in saproxylic groups and rare species than in non-saproxylic groups or common and dominant species.
Based on these results, I suggest that salvage logging needs to be carefully weighed against its long-lasting impact on communities of rare species. Also, setting aside patches of naturally disturbed areas is a valuable management alternative as these patches would enable post-disturbance succession of bird communities in unmanaged patches and would promote the conservation of deadwood-dependent species, without posing health risks to drinking water sources.
Neuroblastoma is the most abundant, solid, extracranial tumor in early childhood and the leading cause of cancer-related childhood deaths worldwide. Patients with high-risk neuroblastoma often show MYCN-amplification and elevated levels of Aurora-A. They have a low overall survival and despite multimodal therapy options a poor therapeutic prognosis. MYCN-amplified neuroblastoma cells depend on Aurora-A functionality. Aurora-A stabilizes MYCN and prevents it from proteasomal degradation by competing with the E3 ligase SCFFBXW7. Interaction between Aurora-A and MYCN can be observed only in S phase of the cell cycle and activation of Aurora-A can be induced by MYCN in vitro. These findings suggest the existence of a profound interconnection between Aurora-A and MYCN in S phase. Nevertheless, the details remain elusive and were investigated in this study.
Fractionation experiments show that Aurora-A is recruited to chromatin in S phase in a MYCN-dependent manner. Albeit being unphosphorylated on the activating T288 residue, Aurora-A kinase activity was still present in S phase and several putative, novel targets were identified by phosphoproteomic analysis. Particularly, eight phosphosites dependent on MYCN-activated Aurora-A were identified. Additionally, phosphorylation of serine 10 on histone 3 was verified as a target of this complex in S phase. ChIP-sequencing experiments reveal that Aurora-A regulates transcription elongation as well as histone H3.3 variant incorporation in S phase. 4sU-sequencing as well as immunoblotting demonstrated that Aurora-A activity impacts splicing. PLA measurements between the transcription and replication machinery revealed that Aurora-A prevents the formation of transcription-replication conflicts, which activate of kinase ATR.
Aurora-A inhibitors are already used to treat neuroblastoma but display dose-limiting toxicity. To further improve Aurora-A based therapies, we investigated whether low doses of Aurora-A inhibitor combined with ATR inhibitor could increase the efficacy of the treatment albeit reducing toxicity. The study shows that the combination of both drugs leads to a reduction in cell growth as well as an increase in apoptosis in MYCN-amplified neuroblastoma cells, which is not observable in MYCN non-amplified neuroblastoma cells. This new approach was also tested by a collaboration partner in vivo resulting in a decrease in tumor burden, an increase in overall survival and a cure of 25% of TH-MYCN mice. These findings indicate indeed a therapeutic window for targeting MYCN-amplified neuroblastoma.
Genome Wide Association Studies (GWAS) have revolutionized the way on
how genotype-phenotype relations are assessed. In the 20 years long history
of GWAS, multiple challenges from a biological, computational, and statistical
point of view have been faced. The implementation of this technique using
the model plant species Arabidopsis thaliana, has enabled the detection of many
association for multiple traits. Despite a lot of studies implementing GWAS
have discovered new candidate genes for multiple traits, different samples are
used across studies. In many cases, either globally diverse samples or samples
composed of accessions from a geographically restricted area are used. With
the aim of comparing GWAS outcomes between populations from different
geographic areas, this thesis describes the performance of GWAS in different
European samples of A. thaliana. Here, association mapping results for flowering
time were compared. Chapter 2 describes the analyses of random resampling
from this original sample. The aim was to establish reduced subsamples to
later carry out GWAS and compare the outcomes between these subsamples.
In Chapter 3, the European sample was split into eight equally-sized local
samples representing different geographic regions. Next, GWAS was carried
out and an attempt was made to clarify the differences in GWAS outcomes.
Chapter 4 contains the results of a collaboration with Prof. Dr. Wolfgang Dröge-
Laser, in which my mainly task was the analysis of RNAseq data from A.
thaliana plants infected by pathogenic fungi. Finally, Appendix A presents a very
short description of my participation in the GHP Project on Access to Care for
Cardiometabolic Diseases (HPACC) at the university of Heidelberg.
The substitution of selected CC units by their isoelectronic and isosteric BN units in π−conjugated organic compounds (BN/CC isosterism), especially polycyclic aromatic hydrocarbons (PAHs), has emerged as a viable strategy to produce novel organic–inorganic hybrid materials with structural similarities to their all-carbon congeners, but in many cases with intriguing properties and functions.
In the first two chapters the synthesis and properties of novel BNB-doped phenalenyls, dithienoazadiborepins and dithienooxadiborepins are presented. The optoelectronic properties of these new building blocks can be effectively tuned by variation of the incorporated Ar (Mes, Tip, FMes) and R groups (H, Me, i-Pr, t-Bu, Ph). Theoretical investigations, including NICS (Nucleus Independent Chemical Shift) scans and AICD (Anisotropy of the Induced Current Density) calculations, have been performed which provide insight into their aromatic or antiaromatic character, respectively.
The incorporation of BP units, on the other hand, which are valence isoelectronic with BN and CC, into unsaturated organic compounds, has been scarcely studied, though the potential of the resulting BCP hybrid materials for electronic applications has been recognized quite recently. Main chain conjugated polymers featuring BP fragments in the backbone are unknown so far. The first molecular model compounds for a BP analogue of the conjugated polymer poly(p-phenylene vinylene) (PPV) are presented in chapter 3. Theoretical investigations revealed that the Mes* group to fully planarizes the phosphorus center, increasing the B=P double bond character and enabling conjugation over the BP unit. Different synthetic approaches to the molecular model compounds have been investigated and a viable synthetic strategy was found.
The recently published ITU-T Recommendation G1.032 proposes a list of factors that may influence cloud and online gaming Quality of Experience (QoE). This paper provides two practical evaluations of proposed system and context influence factors: First, it investigates through an online survey (n=488) the popularity of platforms, preferred ways of distribution, and motivational aspects including subjective valuations of characteristics offered by today's prevalent gaming platforms. Second, the paper evaluates a large dataset of objective metrics for various gaming platforms: game lists, playthrough lengths, prices, etc., and contrasts these metrics against the gamers' opinions. The combined data-driven approach presented in this paper complements in-person and lab studies usually employed.