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Background and objectives: Age-related losses of lower extremity muscle strength/power and deficits in static and particularly dynamic balance are associated with impaired functional performance and the occurrence of falls. It has been shown that balance and resistance training have the potential to improve balance and muscle strength in healthy older adults. However, it is still open to debate how the effectiveness of balance and resistance training in older adults is influenced by different factors. This includes the role of trunk muscle strength, the comprehensive effects of combined balance and resistance training, and the role of exercise supervision. Therefore, the primary objectives of this doctoral thesis are to investigate the relationship between trunk muscle strength and balance performance and to examine the effects of an expert-based balance and resistance training protocol on various measures of balance and lower extremity muscle strength/power in older adults. Furthermore, the impact of supervised versus unsupervised balance and/or resistance training interventions in the elderly will be evaluated.
Methods: Healthy older adults aged 63-80 years were included in a cross-sectional study, a longitudinal study, and a meta-analysis (range group means meta-analysis: 65.3-81.1 years) registering balance and muscle strength/power performance. Different measures of balance (i.e., static/dynamic, proactive, reactive) were examined using clinical (e.g., Romberg test) and instrumented tests (e.g., 10 meter walking test on a sensor-equipped walkway). Isometric strength of the trunk muscles was assessed using instrumented trunk muscle strength apparatus and lower extremity dynamic muscle strength/power was examined using clinical tests (e.g., Chair Stand Test). Further, a combined balance and resistance training protocol was applied to examine training-induced effects on balance and muscle strength/power as well as the role of supervision in older adults.
Results: Findings revealed that measures of trunk muscle strength and static steady-state balance as well as specific measures of dynamic steady-state balance were significantly associated in the elderly (0.42 ≤ r ≤ 0.57). Combined balance and resistance training significantly improved older adults' static/dynamic steady-state (e.g., Romberg test; habitual gait speed), pro-active (e.g., Timed Up and Go Test), and reactive balance (e.g., Push and Release Test) as well as muscle strength/power (e.g., Chair Stand Test) (0.62 ≤ Cohen’s d ≤ 2.86; all p < 0.05). Supervised compared to unsupervised balance and/or resistance training was superior in enhancing older adults' balance and muscle strength/power performance regarding all observed outcome categories [longitudinal study: effects for the supervised group 0.26 ≤ d ≤ 2.86, effects for the unsupervised group 0.06 ≤ d ≤ 2.30; meta-analysis: all between-subject standardized mean differences (SMDbs) in favor of the supervised training programs 0.24-0.53]. The meta-analysis additionally showed larger effects in favor of supervised interventions when compared to completely unsupervised interventions (0.28 ≤ SMDbs ≤ 1.24). These effects in favor of the supervised programs faded when compared with studies that implemented a small amount of supervised sessions in their unsupervised interventions (−0.06 ≤ SMDbs ≤ 0.41).
Conclusions: Trunk muscle strength is associated with steady-state balance performance and may therefore be integrated in fall-preventive exercise interventions for older adults. The examined positive effects on a large number of important intrinsic fall risk factors (e.g., balance deficits, muscle weakness) imply that particularly the combination of balance and resistance training appears to be a feasible and effective exercise intervention for fall prevention. Owing to the beneficial effects of supervised compared to unsupervised interventions, supervised sessions should be integrated in fall-preventive balance and/or resistance training programs for older adults.
To what extent cities can be made sustainable under the mega-trends of urbanization and climate change remains a matter of unresolved scientific debate. Our inability in answering this question lies partly in the deficient knowledge regarding pivotal humanenvironment interactions. Regarded as the most well documented anthropogenic climate modification, the urban heat island (UHI) effect – the warmth of urban areas relative to the rural hinterland – has raised great public health concerns globally. Worse still, heat waves are being observed and are projected to increase in both frequency and intensity, which further impairs the well-being of urban dwellers. Albeit with a substantial increase in the number of publications on UHI in the recent decades, the diverse urban-rural definitions applied in previous studies have remarkably hampered the general comparability of results achieved. In addition, few studies have attempted to synergize the land use data and thermal remote sensing to systematically assess UHI and its contributing factors.
Given these research gaps, this work presents a general framework to systematically quantify the UHI effect based on an automated algorithm, whereby cities are defined as clusters of maximum spatial continuity on the basis of land use data, with their rural hinterland being defined analogously. By combining land use data with spatially explicit surface skin temperatures from satellites, the surface UHI intensity can be calculated in a consistent and robust manner. This facilitates monitoring, benchmarking, and categorizing UHI intensities for cities across scales. In light of this innovation, the relationship between city size and UHI intensity has been investigated, as well as the contributions of urban form indicators to the UHI intensity.
This work delivers manifold contributions to the understanding of the UHI, which have complemented and advanced a number of previous studies. Firstly, a log-linear relationship between surface UHI intensity and city size has been confirmed among the 5,000 European cities. The relationship can be extended to a log-logistic one, when taking a wider range of small-sized cities into account. Secondly, this work reveals a complex interplay between UHI intensity and urban form. City size is found to have the strongest influence on the UHI intensity, followed by the fractality and the anisometry. However, their relative contributions to the surface UHI intensity depict a pronounced regional heterogeneity, indicating the importance of considering spatial patterns of UHI while implementing UHI adaptation measures.
Lastly, this work presents a novel seasonality of the UHI intensity for individual clusters in the form of hysteresis-like curves, implying a phase shift between the time series of UHI intensity and background temperatures. Combining satellite observation and urban boundary layer simulation, the seasonal variations of UHI are assessed from both screen and skin levels. Taking London as an example, this work ascribes the discrepancies between the seasonality observed at different levels mainly to the peculiarities of surface skin temperatures associated with the incoming solar radiation. In addition, the efforts in classifying cities according to their UHI characteristics highlight the important role of regional climates in determining the UHI.
This work serves as one of the first studies conducted to systematically and statistically scrutinize the UHI. The outcomes of this work are of particular relevance for the overall spatial planning and regulation at meso- and macro levels in order to harness the benefits of rapid urbanization, while proactively minimizing its ensuing thermal stress.
Natural hazards can have serious societal and economic impacts. Worldwide, around one third of economic losses due to natural hazards are attributable to floods. The majority of natural hazards are triggered by weather-related extremes such as heavy precipitation, rapid snow melt, or extreme temperatures. Some of them, and in particular floods, are expected to further increase in terms of frequency and/or intensity in the coming decades due to the impacts of climate change. In this context, the European Alps areas are constantly disclosed as being particularly sensitive.
In order to enhance the resilience of societies to natural hazards, risk assessments are substantial as they can deliver comprehensive risk information to be used as a basis for effective and sustainable decision-making in natural hazards management. So far, current assessment approaches mostly focus on single societal or economic sectors – e.g. flood damage models largely concentrate on private-sector housing – and other important sectors, such as the transport infrastructure sector, are widely neglected. However, transport infrastructure considerably contributes to economic and societal welfare, e.g. by ensuring mobility of people and goods. In Austria, for example, the national railway network is essential for the European transit of passengers and freights as well as for the development of the complex Alpine topography. Moreover, a number of recent experiences show that railway infrastructure and transportation is highly vulnerable to natural hazards. As a consequence, the Austrian Federal Railways had to cope with economic losses on the scale of several million euros as a result of flooding and other alpine hazards.
The motivation of this thesis is to contribute to filling the gap of knowledge about damage to railway infrastructure caused by natural hazards by providing new risk information for actors and stakeholders involved in the risk management of railway transportation. Hence, in order to support the decision-making towards a more effective and sustainable risk management, the following two shortcomings in natural risks research are approached: i) the lack of dedicated models to estimate flood damage to railway infrastructure, and ii) the scarcity of insights into possible climate change impacts on the frequency of extreme weather events with focus on future implications for railway transportation in Austria.
With regard to flood impacts to railway infrastructure, the empirically derived damage model Railway Infrastructure Loss (RAIL) proved expedient to reliably estimate both structural flood damage at exposed track sections of the Northern Railway and resulting repair cost. The results show that the RAIL model is capable of identifying flood risk hot spots along the railway network and, thus, facilitates the targeted planning and implementation of (technical) risk reduction measures. However, the findings of this study also show that the development and validation of flood damage models for railway infrastructure is generally constrained by the continuing lack of detailed event and damage data.
In order to provide flood risk information on the large scale to support strategic flood risk management, the RAIL model was applied for the Austrian Mur River catchment using three different hydraulic scenarios as input as well as considering an increased risk aversion of the railway operator. Results indicate that the model is able to deliver comprehensive risk information also on the catchment level. It is furthermore demonstrated that the aspect of risk aversion can have marked influence on flood damage estimates for the study area and, hence, should be considered with regard to the development of risk management strategies.
Looking at the results of the investigation on future frequencies of extreme weather events jeopardizing railway infrastructure and transportation in Austria, it appears that an increase in intense rainfall events and heat waves has to be expected, whereas heavy snowfall and cold days are likely to decrease. Furthermore, results indicate that frequencies of extremes are rather sensitive to changes of the underlying thresholds. It thus emphasizes the importance to carefully define, validate, and — if needed — to adapt the thresholds that are used to detect and forecast meteorological extremes. For this, continuous and standardized documentation of damaging events and near-misses is a prerequisite.
Overall, the findings of the research presented in this thesis agree on the necessity to improve event and damage documentation procedures in order to enable the acquisition of comprehensive and reliable risk information via risk assessments and, thus, support strategic natural hazards management of railway infrastructure and transportation.
The goal of this thesis is related to the question how to introduce and combine simultaneously plasmonic and photoswitching properties to different nano-objects. In this thesis I investigate the complexes between noble metal nanoparticles and cationic surfactants containing azobenzene units in their hydrophobic tail, employing absorption spectroscopy, surface zeta-potential, and electron microscopy.
In the first part of the thesis, the formation of complexes between negatively charged laser ablated spherical gold nanoparticles and cationic azobenzene surfactants in trans- conformation is explored. It is shown that the constitution of the complexes strongly depends on a surfactant-to-gold molar ratio. At certain molar ratios, particle self-assembly into nanochains and their aggregation have been registered. At higher surfactant concentrations, the surface charge of nanoparticles turned positive, attributed to the formation of the stabilizing double layer of azobenzene surfactants on gold nanoparticle surfaces. These gold-surfactant complexes remained colloidally stable. UV light induced trans-cis isomerization of azobenzene surfactant molecules and thus perturbed the stabilizing surfactant shell, causing nanoparticle aggregation. The results obtained with silver and silicon nanoparticles mimick those for the comprehensively studied gold nanoparticles, corroborating the proposed model of complex formation.
In the second part, the interaction between plasmonic metal nanoparticles (Au, Ag, Pd, alloy Au-Ag, Au-Pd), as well as silicon nanoparticles, and cis-isomers of azobenzene containing compounds is addressed. Cis-trans thermal isomerization of azobenzenes was enhanced in the presence of gold, palladium, and alloy gold-palladium nanoparticles. The influence of the surfactant structure and nanoparticle material on the azobenzene isomerization rate is expounded. Gold nanoparticles showed superior catalytic activity for thermal cis-trans isomerization of azobenzenes. In a joint project with theoretical chemists, we demonstrated that the possible physical origin of this phenomenon is the electron transfer between azobenzene moieties and nanoparticle surfaces.
In the third part, complexes between gold nanorods and azobenzene surfactants with different tail length were exposed to UV and blue light, inducing trans-cis and cis-trans isomerization of surfactant, respectively. At the same time, the position of longitudinal plasmonic absorption maximum of gold nanorods experienced reversible shift responding to the changes in local dielectric environment. Surface plasmon resonance condition allowed the estimation of the refractive index of azobenzene containing surfactants in solution.
Thermal cis-trans isomerization of azobenzene studied by path sampling and QM/MM stochastic dynamics
(2017)
Azobenzene-based molecular photoswitches have extensively been applied to biological systems, involving photo-control of peptides, lipids and nucleic acids. The isomerization between the stable trans and the metastable cis state of the azo moieties leads to pronounced changes in shape and other physico-chemical properties of the molecules into which they are incorporated. Fast switching can be induced via transitions to excited electronic states and fine-tuned by a large number of different substituents at the phenyl rings. But a rational design of tailor-made azo groups also requires control of their stability in the dark, the half-lifetime of the cis isomer. In computational chemistry, thermally activated barrier crossing on the ground state Born-Oppenheimer surface can efficiently be estimated with Eyring’s transition state theory (TST) approach; the growing complexity of the azo moiety and a rather heterogeneous environment, however, may render some of the underlying simplifying assumptions problematic.
In this dissertation, a computational approach is established to remove two restrictions at once: the environment is modeled explicitly by employing a quantum mechanical/molecular mechanics (QM/MM) description; and the isomerization process is tracked by analyzing complete dynamical pathways between stable states. The suitability of this description is validated by using two test systems, pure azo benzene and a derivative with electron donating and electron withdrawing substituents (“push-pull” azobenzene). Each system is studied in the gas phase, in toluene and in polar DMSO solvent. The azo molecules are treated at the QM level using a very recent, semi-empirical approximation to density functional theory (density functional tight binding approximation). Reactive pathways are sampled by implementing a version of the so-called transition path sampling method (TPS), without introducing any bias into the system dynamics. By analyzing ensembles of reactive trajectories, the change in isomerization pathway from linear inversion to rotation in going from apolar to polar solvent, predicted by the TST approach, could be verified for the push-pull derivative. At the same time, the mere presence of explicit solvation is seen to broaden the distribution of isomerization pathways, an effect TST cannot account for.
Using likelihood maximization based on the TPS shooting history, an improved reaction coordinate was identified as a sine-cosine combination of the central bend angles and the rotation dihedral, r (ω,α,α′). The computational van’t Hoff analysis for the activation entropies was performed to gain further insight into the differential role of solvent for the case of the unsubstituted and the push-pull azobenzene. In agreement with the experiment, it yielded positive activation entropies for azobenzene in the DMSO solvent while negative for the push-pull derivative, reflecting the induced ordering of solvent around the more dipolar transition state associated to the latter compound. Also, the dynamically corrected rate constants were evaluated using the reactive flux approach where an increase comparable to the experimental one was observed for a high polarity medium for both azobenzene derivatives.
This dissertation explores whether the processing of ellipsis is affected by changes in the complexity of the antecedent, either due to added linguistic material or to the presence of a temporary ambiguity. Murphy (1985) hypothesized that ellipsis is resolved via a string copying procedure when the antecedent is within the same sentence, and that copying longer strings takes more time. Such an account also implies that the antecedent is copied without its structure, which in turn implies that recomputing its syntax and semantics may be necessary at the ellipsis gap. Alternatively, several accounts predict null effects of antecedent complexity, as well as no reparsing. These either involve a structure copying mechanism that is cost-free and whose finishing time is thus independent of the form of the antecedent (Frazier & Clifton, 2001), treat ellipsis as a pointer into content-addressable memory with direct access (Martin & McElree, 2008, 2009), or assume that one structure is ‘shared’ between antecedent and gap (Frazier & Clifton, 2005).
In a self-paced reading study on German sluicing, temporarily ambiguous garden-path clauses were used as antecedents, but no evidence of reparsing in the form of a slowdown at the ellipsis site was found. Instead, results suggest that antecedents which had been reanalyzed from an initially incorrect structure were easier to retrieve at the gap. This finding that can be explained within the framework of cue-based retrieval parsing (Lewis & Vasishth, 2005), where additional syntactic operations on a structure yield memory reactivation effects.
Two further self-paced reading studies on German bare argument ellipsis and English verb phrase ellipsis investigated if adding linguistic content to the antecedent would increase processing times for the ellipsis, and whether insufficiently demanding comprehension tasks may have been responsible for earlier null results (Frazier & Clifton, 2000; Martin & McElree, 2008). It has also been suggested that increased antecedent complexity should shorten rather than lengthen retrieval times by providing more unique memory features (Hofmeister, 2011). Both experiments failed to yield reliable evidence that antecedent complexity affects ellipsis processing times in either direction, irrespectively of task demands.
Finally, two eye-tracking studies probed more deeply into the proposed reactivation-induced speedup found in the first experiment. The first study used three different kinds of French garden-path sentences as antecedents, with two of them failing to yield evidence for reactivation. Moreover, the third sentence type showed evidence suggesting that having failed to assign a structure to the antecedent leads to a slowdown at the ellipsis site, as well as regressions towards the ambiguous part of the sentence. The second eye-tracking study used the same materials as the initial self-paced reading study on German, with results showing a pattern similar to the one originally observed, with some notable differences.
Overall, the experimental results are compatible with the view that adding linguistic material to the antecedent has no or very little effect on the ease with which ellipsis is resolved, which is consistent with the predictions of cost-free copying, pointer-based approaches and structure sharing. Additionally, effects of the antecedent’s parsing history on ellipsis processing may be due to reactivation, the availability of multiple representations in memory, or complete failure to retrieve a matching target.
This cumulative doctoral dissertation, based on three publications, is devoted to the investigation of several aspects of azobenzene molecular switches, with the aid of computational chemistry.
In the first paper, the isomerization rates of a thermal cis → trans isomerization of azobenzenes for species formed upon an integer electron transfer, i.e., with added or removed electron, are calculated from Eyring’s transition state theory and activation energy barriers, computed by means of density functional theory. The obtained results are discussed in connection with an experimental study of the thermal cis → trans isomerization of azobenzene derivatives in the presence of gold nanoparticles, which is demonstrated to be greatly accelerated in comparison to the same isomerization reaction in the absence of nanoparticles.
The second paper is concerned with electronically excited states of (i) dimers, composed of two photoswitchable units placed closely side-by-side, as well as (ii) monomers and dimers adsorbed on a silicon cluster. A variety of quantum chemistry methods, capable of calculating molecular electronic absorption spectra, based on density functional and wave function theories, is employed to quantify changes in optical absorption upon dimerization and covalent grafting to a surface. Specifically, the exciton (Davydov) splitting between states of interest is determined from first-principles calculations with the help of natural transition orbital analysis, allowing for insight into the nature of excited states.
In the third paper, nonadiabatic molecular dynamics with trajectory surface hopping is applied to model the photoisomerization of azobenzene dimers, (i) for the isolated case (exhibiting the exciton coupling between two molecules) as well as (ii) for the constrained case (providing the van der Waals interaction with environment in addition to the exciton coupling between two monomers). For the latter, the additional azobenzene molecules, surrounding the dimer, are introduced, mimicking a densely packed self-assembled monolayer. From obtained results it is concluded that the isolated dimer is capable of isomerization likewise the monomer, whereas the steric hindrance considerably suppresses trans → cis photoisomerization.
Furthermore, the present dissertation comprises the general introduction describing the main features of the azobenzene photoswitch and objectives of this work, theoretical basis of the employed methods, and discussion of gained findings in the light of existing literature. Also, additional results on (i) activation parameters of the thermal cis → trans isomerization of azobenzenes, (ii) an approximate scheme to account for anharmonicity of molecular vibrations in calculation of the activation entropy, as well as (iii) absorption spectra of photoswitch–silicon composites obtained from time-demanding wave function-based methods are presented.
BACKGROUND: Aggressive behavior at an early age is linked to a broad range of psychosocial problems in later life. That is why risk factors of the occurrence and the development of aggression have been examined for a long time in psychological science. The present doctoral dissertation aims to expand this research by investigating risk factors in three intrapersonal domains using the prominent social-information processing approach by Crick and Dodge (1994) as a framework model. Anger regulation was examined as an affective, theory of mind as a cognitive, and physical attractiveness as an appearance-related developmental factor of aggression in middle childhood. An additional goal of this work was to develop and validate a behavioral observation assessment of anger regulation as past research lacked in ecologically valid measures of anger regulation that are applicable for longitudinal studies.
METHODS: Three empirical studies address the aforementioned intrapersonal risk factors. In each study, data from the PIER-project were used, a three-wave-longitudinal study covering three years with a total sample size of 1,657 children in the age between 6 and 11 years (at the first measurement point). The central constructs were assessed via teacher-reports (aggression), behavioral observation (anger regulation), computer tests (theory of mind), and independent ratings (physical attractiveness). The predictive value of each proposed risk factor for the development of aggressive behavior was examined via structural equation modeling.
RESULTS AND CONCLUSION: The newly developed behavioral observation measure was found to be a reliable and valid tool to assess anger regulation in middle childhood, but limited in capturing a full range of relevant regulation strategies. That might be the reason, why maladaptive anger regulation was not found to function as a risk factor of subsequent aggressive behavior. However, children’s deficits in theory of mind and a low level in physical attractiveness significantly predicted later aggression. Problematic peer relationships were identified as underlying the link between low attractiveness and aggression. Thus, fostering children’s skills in theory of mind and their ability to call existing beliefs about the nature of more versus less attractive individuals into question may be important starting points for the prevention of aggressive behavior in middle childhood.
Prevalence and Predictors of Sexual Aggression Victimization and Perpetration in Chile and Turkey
(2017)
Background: Although sexual aggression is recognized as a serious issue worldwide, the current knowledge base is primarily built on evidence from Western countries, particularly the U.S. For the present doctoral research, Chile and Turkey were selected based on theoretical considerations to examine the prevalence as well as predictors of sexual aggression victimization and perpetration. The first aim of this research project was to systematically review the available evidence provided by past studies on this topic within each country. The second aim was to empirically study the prevalence of experiencing and engaging in sexual aggression since the age of consent among college students in Chile and Turkey. The third aim was to conduct cross-cultural analyses examining pathways to victimization and perpetration based on a two-wave longitudinal design.
Methods: This research adopted a gender-inclusive approach by considering men and women in both victim and perpetrator roles. For the systematic reviews, multiple-stage literature searches were performed, and based on a predefined set of eligibility criteria, 28 studies in Chile and 56 studies in Turkey were identified for inclusion. A two-wave longitudinal study was conducted to examine the prevalence and predictors of sexual aggression among male and female college students in Chile and Turkey. Self-reports of victimization and perpetration were assessed with a Chilean Spanish or Turkish version of the Sexual Aggression and Victimization Scale. Two path models were conceptualized in which participants’ risky sexual scripts for consensual sex, risky sexual behavior, sexual self-esteem, sexual assertiveness, and religiosity were assessed at T1 and used as predictors of sexual aggression victimization and perpetration at T2 in the following 12 months, mediated through past victimization or perpetration, respectively. The models differed in that sexual assertiveness was expected to serve different functions for victimization (refusal assertiveness negatively linked to victimization) and perpetration (initiation assertiveness positively linked to perpetration).
Results: Both systematic reviews revealed that victimization was addressed by all included studies, but data on perpetration was severely limited. A great heterogeneity not only in victimization rates but also in predictors was found, which may be attributed to a lack of conceptual and methodological consistency across studies. The empirical analysis of the prevalence of sexual aggression in Chile revealed a victimization rate of 51.9% for women and 48.0% for men, and a perpetration rate of 26.8% for men and 16.5% for women. In the Turkish original data, victimization was reported by 77.6% of women and 65.5% of men, whereas, again, lower rates were found for perpetration, with 28.9% of men and 14.2% of women reporting at least one incident. The cross-cultural analyses showed, as expected, that risky sexual scripts informed risky sexual behavior, and thereby indirectly increased the likelihood of victimization and perpetration at T2 in both samples. More risky sexual scripts were also linked to lower levels of refusal assertiveness in both samples, indirectly increasing the vulnerability to victimization at T2. High sexual self-esteem decreased the probability of victimization at T2 through higher refusal assertiveness as well as through less risky sexual behavior also in both samples, whereas it increased the odds of perpetration at T2 via higher initiation assertiveness in the Turkish sample only. Furthermore, high religiosity decreased the odds of perpetration and victimization at T2 through less risky sexual scripts and less risky sexual behavior in both samples. It reduced the vulnerability to victimization through less risky sexual scripts and higher refusal assertiveness in the Chilean sample only. In the Turkish sample only, it increased the odds of perpetration and victimization through lower sexual self-esteem.
Conclusions: The findings showed that sexual aggression is a widespread problem in both Chile and Turkey, contributing cross-cultural evidence to the international knowledge base and indicating the clear need for implementing policy measures and prevention strategies in each country. Based on the results of the prospective analyses, concrete implications for intervention efforts are discussed.
Plant cells host two important organelles: mitochondria, known as the cell’s ‘powerhouse’, which act by converting oxygen and nutrients into ATP, and plastids, which perform photosynthesis. These organelles contain their own genomes that encode proteins required for gene expression and energy metabolism. Transformation technologies offer great potential for investigating all aspects of the physiology and gene expression of these organelles in vivo. In addition, organelle transformation can be a valuable tool for biotechnology and molecular plant breeding. Plastid transformation systems are well-developed for a few higher plants, however, mitochondrial transformation has so far only been reported for Saccharomyces cerevisiae and the unicellular alga Chlamydomonas reinhardtii.
Development of an efficient new selection marker for plastid transformation is important for several reasons, including facilitating supertransformation of the plastid genome for metabolic engineering purposes and for producing multiple knock-outs or site-directed mutagenesis of two unlinked genes. In this work, we developed a novel selection system for Nicotiana tabacum (tobacco) chloroplast transformation with an alternative marker. The marker gene, aac(6′)-Ie/aph(2′′)-Ia, was cloned into different plastid transformation vectors and several candidate aminoglycoside antibiotics were investigated as selection agents. Generally, the efficiency of selection and the transformation efficiency with aac(6′)-Ie/aph(2′′)-Ia as selectable marker in combination with the aminoglycoside antibiotic tobramycin was similarly high as that with the standard marker gene aadA and spectinomycin selection. Furthermore, our new selection system may be useful for the development of plastid transformation for new species, including cereals, the world’s most important food crops, and could also be helpful for the establishment of a selection system for mitochondrial transformation.
To date, all attempts to achieve mitochondrial transformation for higher plants have been unsuccessful. A mitochondrial transformation system for higher plants would not only provide a potential for studying mitochondrial physiology but could also provide a method to introduce cytoplasmic male sterility into crops to produce hybrid seeds. Establishing a stable mitochondrial transformation system in higher plants requires several steps including delivery of foreign DNA, stable integration of the foreign sequences into the mitochondrial genome, efficient expression of the transgene, a highly regenerable tissue culture system that allows regeneration of the transformed cells into plants, and finally, a suitable selection system to identify cells with transformed mitochondrial genomes. Among all these requirements, finding a good selection is perhaps the most important obstacle towards the development of a mitochondrial transformation system for higher plants. In this work, two selection systems were tested for mitochondrial transformation: kanamycin as a selection system in combination with the antibiotic-inactivating marker gene nptII, and sulfadiazine as a selection agent that inhibits the folic acid biosynthesis pathway residing in plant mitochondria in combination with the sul gene encoding an enzyme that is insensitive to inhibition by sulfadiazine. Nuclear transformation experiments were considered as proof of the specificity of the sulfadiazine selection system for mitochondria. We showed that an optimized sulfadiazine selection system, with the Sul protein targeted to mitochondria, is much more efficient than the previous sulfadiazine selection system, in which the Sul protein was targeted to the chloroplast. We also showed by systematic experiments that the efficiency of selection and nuclear transformation of the optimized sulfadiazine selection was higher compared to the standard kanamycin selection system. Finally, we also investigated the suitability of this selection system for nuclear transformation of the model alga Chlamydomonas reinhardtii, obtaining promising results. Although we designed several mitochondrial transformation vectors with different expression elements and integration sites in the mitochondrial genome based on the sulfadiazine system, and different tissue culture condition were also considered, we were not able to obtain mitochondrial transformation with this system. Nonetheless, establishing the sul gene as an efficient and specific selection marker for mitochondria addresses one of the major bottlenecks and may pave the way to achieve mitochondrial transformation in higher plants.
Plastid protein biosynthesis occurs on bacterial-type 70S ribosomes consisting of a large (50S) and a small (30S) subunit. However, since many steps of ribosome biogenesis are not thermodynamically favorable at biological conditions, it requires many assembly factors. One group of assembly factors, circularly permuted GTPases, was implicated in 30S subunit maturation in E. coli, by a protein RsgA. RsgA orthologues are present in bacteria and plastid-containing species and in silico analysis revealed presence of a RsgA-like protein in Arabidopsis thaliana. To functionally characterize the Arabidopsis orthologue, two AtRsgA T-DNA insertion lines were analyzed in this study. The exon line (rsgA-e) led to embryo lethality, while the intron line (rsgA-i) caused severe dwarf, pale green phenotype. Further investigation of rsgA-i mutant line revealed defects in chloroplast biogenesis which led to increased number of chloroplasts, decreased chloroplast size, decreased air space between mesophyll cells and smaller shoot apical meristems, which showed unusual proplastid accumulation. Moreover, rsgA-i plants showed reduction in chlorophyll A and B content, decreased electron transport rate and photosynthetic efficiency. Further analyses revealed that the protein is involved in chloroplast 30S subunit maturation. Interestingly, we observed that while chloroplast-targeted and chloroplast-encoded proteins are generally downregulated in the mutant, a contrasting upregulation of the corresponding transcripts is observed, indicating an elaborate compensatory mechanism. To conclude, the study presented here reveals a ribosome assembly factor and a compensatory mechanism activated during impaired chloroplast function.
Hintergrund: Die Untersuchung von Ernährungsmustern als komplementärer Ansatz zu der Untersuchung einzelner Lebensmittel nimmt stetig zu. Generell können drei verschiedene Ansätze unterschieden werden um Ernährungsmuster herzuleiten: A priori Indizes, welche das Wissen über gesundheitsförderliche und –schädliche Eigenschaften eines Lebensmittels für einen gewissen Endpunkt nutzen; A posteriori (exploratorische) Ernährungsmuster, welche die populationsspezifischen vorliegenden Daten ohne eine vorangegangene Hypothese nutzen; gemischte Methoden, die das Wissen über bestimmte Nährstoffe oder Biomarker, welche in der Krankheitsentstehung eine Rolle spielen, nutzen und mit einer exploratorischen Methode kombinieren um krankheitsrelevante Ernährungsmuster zu generieren. Vorangegangene systematische Übersichtsarbeiten, welche die Evidenz der Assoziation zwischen Ernährungsmustern und Diabetes mellitus Typ 2 zusammenfassten, waren entweder beschränkt auf eine Mustermethode oder kombinierten die Muster verschiedener Methoden, ohne die Zusammensetzung der Ernährungsmuster zu berücksichtigen.
Ziel: Das Ziel dieser Dissertation war eine umfassende Untersuchung der Assoziation von Ernährungsmustern mit Diabetes mellitus Typ 2. Das erste Teilprojekt zielte auf die Erstellung einer systematischen Übersichtsarbeit von prospektiven Studien ab, unter der Berücksichtigung der verschiedenen Methoden zur Herleitung von Ernährungsmustern in der meta-analytischen Zusammenfassung, was in vorangegangen Übersichtsarbeiten eine Limitation darstellte. Das zweite Teilprojekt hatte die Untersuchung der Assoziation mit Diabetes mellitus Typ 2 von exploratorischen Ernährungsmustern, welche mit der Hauptkomponentenanalyse in einer multi-zentrischen europäischen Fall-Kohorten Studie hergeleitet wurden, zum Ziel. Des Weiteren wurde der eingeschränkten Anwendbarkeit von exploratorischen Mustern in anderen Studienpopulationen mit Methoden der Replikation dieser Ernährungsmuster begegnet.
Methoden: Im ersten Teilprojekt wurde eine systematische Literatursuche in den Datenbanken MEDLINE und Web of Science vorgenommen, sowie ein dreistufiger Screeningprozess. Die identifizierten Studien wurden nach den jeweiligen Methoden zur Erstellung von Ernährungsmustern zusammengefasst und Meta-Analysen nur für diejenigen Ernährungsmuster mit vergleichbarer Zusammensetzung vorgenommen. Im zweiten Teilprojekt wurden länderspezifische Ernährungsmuster mittels Hauptkomponentenanalyse aus 36 standardisierten Lebensmittelgruppen hergeleitet. Die Assoziation mit Diabetes mellitus Typ 2 Risiko wurde mit verschieden adjustierten Cox Regressionsmodellen zur Berechnung von Hazardratenverhältnissen untersucht. Die Ernährungsmuster, welche eine signifikante Assoziation mit dem Diabetesrisiko aufzeigten, wurden anschließend über alle Länder in der EPIC-InterAct Studie repliziert: Entweder wurden Summenscores ungewichteter standardisierter Lebensmittelgruppen berechnet (wenn die Korrelation mit dem originalen Ernährungsmuster r ≥ 0.90 war) oder Summenscores der Produkte von standardisierten Scoringkoeffizienten mit standardisierten Lebensmittelgruppen (wenn die Korrelation mit dem originalen Ernährungsmuster r < 0.90). Die resultierenden Scores wurden standardisiert nach der Verteilung der gesamten EPIC-InterAct Subkohorte, dann in jedem Land angewendet und die Assoziation mit Diabetes mellitus Typ 2 anhand der Cox Regressionsmodelle berechnet. Anschließend wurden Meta-Analysen zur Berechnung der gepoolten Schätzer durchgeführt.
Ergebnisse: Im ersten Teilprojekt ergab die Literatursuche 48 Artikel, welche 16 Kohorten umfassten. Die Einhaltung der Mediterranen Diät (relatives Risiko (RR) für den Vergleich der extremen Quantile: 0,87; 95%-Konfidenzintervall (KI): 0,82, 0,93), der DASH Diät (RR: 0,81; 95%-KI: 0,72, 0,92) und des Alternative Healthy Eating Index (AHEI) (RR: 0,79; 95%-KI: 0,69, 0,90) war mit einer signifikanten Reduzierung des Diabetesrisikos assoziiert. Exploratorische Ernährungsmuster, charakterisiert durch rotes und verarbeitetes Fleisch, prozessiertes Getreide, hochfette Milchprodukte, Eier und frittierte Produkte, waren positiv mit dem Diabetesrisiko assoziiert (RR: 1,44; 95%-KI: 1,27, 1,62), während Ernährungs-muster, charakterisiert durch Gemüse, Hülsenfrüchte, Obst, Geflügel und Fisch, invers mit dem Diabetesrisiko assoziiert waren (RR: 0,84; 95%-KI: 0,77, 0,91). Ernährungsmuster, welche mit reduzierter Rangregression hergeleitet wurden und charakterisiert waren durch eine hohe Aufnahme von prozessiertem Getreide, zuckergesüßten Getränken und verarbeitetem Fleisch und einen niedrigen Weinkonsum, waren alle signifikant mit dem Diabetesrisiko assoziiert. Im zweiten Teilprojekt konnten zwei wesentliche Ernährungsmuster in jedem Land mit der Hauptkomponentenanalyse hergeleitet werden. Ein Ernährungsmuster, welches in Frankreich hergeleitet wurde und charakterisiert war durch Nüsse, andere Früchte, verarbeitetes Fleisch, Fisch, Eier, Kuchen und Kekse, Kaffee und andere alkoholische Getränke, war signifikant assoziiert mit einem erniedrigten Diabetesrisiko. Drei andere Ernährungsmuster, hergeleitet in Spanien, Norfolk und Oxford, welche sich erheblich in ihrer Zusammensetzung unterschieden, waren mit einem erhöhten Diabetesrisiko assoziiert. Keine der Replikationen dieser vier Ernährungsmuster konnte die signifikante Assoziation mit Diabetes mellitus Typ 2 über andere Länder bestätigen.
Schlussfolgerung: Aus der systematischen Übersichtsarbeit ließ sich schlussfolgern, dass Ernährungsweisen gemäß der Mediterranen Diät, DASH und AHEI ein starkes Potenzial zur Prävention von Diabetes mellitus Typ 2 zu haben, obwohl sie sich in einigen Komponenten unterscheiden. Exploratorische Ernährungsmuster wurden basierend auf konkordanten Lebensmitteln gruppiert und waren signifikant mit dem Diabetesrisiko assoziiert, auch wenn die Untersuchungen einzelner Lebensmittel eher begrenzte Evidenz für einen Zusammenhang aufwiesen. Trotzdem bleiben sie populationsspezifische Beobachtungen. Das wurde auch in dem zweiten Teilprojekt unterstrichen, als länderspezifische Ernährungsmuster generiert wurden und keines der Ernährungsmuster, welches signifikant mit dem Diabetesrisiko assoziiert war, durch Simplifizierung oder Replikation der Musterstruktur des Originalmusters über alle Länder bestätigt werden konnte. Für drei RRR-Muster konnten konsistente positive Assoziationen mit dem Diabetesrisiko über verschiedene Studienpopulationen beobachtet werden.
Seizing long-term growth opportunities is both a key goal of and a challenge for companies at the same time. Saturated markets and shorter product lifecycles have changed market dynamics over the past decades, in such a way that competition on price or quality leadership has receded into the background. Instead, firms increasingly depend on the successful development of new business fields and strong brands to retain customers and spur growth. Thus, the two pillars of business development and brand management have become core strategic functions.
By focusing on innovation – a key dimension of business development – this book analyzes the interrelations between innovation and brand management and the ways in which both functions can benefit from each other. Innovations are considered crucial for building brand equity and revitalizing brand images in the long term, while vice versa, branding could facilitate consumer adoption of a newly launched innovative product or service. Since a brand is a first quality signal, it could act as a vehicle for consumers to reduce the risks and uncertainty associated with a novel product from a consumer's perspective and encourage product trial.
This book empirically investigates whether such interdependencies exist and how managers can make use of them to best leverage their company’s innovation and branding efforts. In particular, the author examines the interplay between innovation and brand management by analyzing (1) how innovations impact consumer attitudes towards the (parent) brand and its brand images, (2) how branding an innovation facilitates its market success, and (3) how building brand equity can serve as a buffer against impacts from adverse events such as a product scandal.
Its findings are highly relevant from a managerial and a theoretical perspective. They provide managers with guidance on two key aspects of business development and innovation management: One, how is innovation employed in order to best enhance a brand's equity (e.g., to revitalize its brand image)? Two, how to choose whether to leverage an existing brand or to develop a new brand in order to facilitate consumer adoption of a new innovation?
Chloroplast membranes have a unique composition characterized by very high contents of the galactolipids, MGDG and DGDG. Many studies on constitutive, galactolipid-deficient mutants revealed conflicting results about potential functions of galactolipids in photosynthetic membranes. Likely, this was caused by pleiotropic effects such as starvation artefacts because of impaired photosynthesis from early developmental stages of the plants onward. Therefore, an ethanol inducible RNAi-approach has been taken to suppress two key enzymes of galactolipid biosynthesis in the chloroplast, MGD1 and DGD1. Plants were allowed to develop fully functional source leaves prior to induction, which then could support plant growth. Then, after the ethanol induction, both young and mature leaves were investigated over time.
Our studies revealed similar changes in both MGDG- and DGDG-deficient lines, however young and mature leaves of transgenic lines showed a different response to galactolipid deficiency. While no changes of photosynthetic parameters and minor changes in lipid content were observed in mature leaves of transgenic lines, strong reductions in total chlorophyll content and in the accumulation of all photosynthetic complexes and significant changes in contents of various lipid groups occurred in young leaves. Microscopy studies revealed an appearance of lipid droplets in the cytosol of young leaves in all transgenic lines which correlates with significantly higher levels of TAGs. Since in young leaves the production of membrane lipids is lowered, the excess of fatty acids is used for storage lipids production, resulting in the accumulation of TAGs.
Our data indicate that both investigated galactolipids serve as structural lipids since changes in photosynthetic parameters were mainly the result of reduced amounts of all photosynthetic constituents. In response to restricted galactolipid synthesis, thylakoid biogenesis is precisely readjusted to keep the proper stoichiometry and functionality of the photosynthetic apparatus. Ultimately, the data revealed that downregulation of one galactolipid triggers changes not only in chloroplasts but also in the nucleus as shown by downregulation of nuclear encoded subunits of the photosynthetic complexes.
Extreme weather events like heatwaves and floods severely affect societies with impacts ranging from economic damages to losses in human lifes. Global warming caused by anthropogenic greenhouse gas emissions is expected to increase their frequency and intensity, particularly in the warm season. Next to these thermodynamic changes, climate change might also impact the large scale atmospheric circulation.Such dynamic changes might additionally act on the occurence of extreme weather events, but involved mechanisms are often highly non-linear. Therefore, large uncertainty exists on the exact nature of these changes and the related risks to society. Particularly in the densely populated mid-latitudes weather patterns are governed by the large scale circulation like the jet-streams and storm tracks. Extreme weather in this region is often related to persistent weather systems associated with a strongly meandering jet-stream. Such meanders are called Rossby waves. Under specific conditions they can become slow moving, stretched around the entire hemisphere and generate simultaneaous heat- and rainfall extremes in far-away regions.
This thesis aims at enhancing the understanding of synoptic-scale, circumglobal Rossby waves and the associated risks of dynamical changes to society. More specific, the analyses investigate their relation to extreme weather, regions at risk, under which conditions they are generated, and the influence of anthropogenic climate change on those conditions now, in the past and in the future.
I find that circumglobal Rossby waves promoted simultaneous occuring weather extremes across the northern hemisphere in several recent summers. Further, I present evidence that they are often linked to quasiresonant-amplification of planetary waves. These events include the 2003 European heatwave and the Moscow heatwave of 2010. This non-linear mechanism acts on the upper level flow through trapping and amplification of stationary synoptic scale waves. I show that this resonance mechanism acts in both hemispheres and is related to extreme weather. A main finding is that circumglobal Rossby waves primarily occur as two specific teleconnection patterns associated with a wave 5 and wave 7 pattern in the northern hemisphere, likely due to the favourable longitudinal distance of prominent mountain ridges here. Furthermore, I identify those regions which are particularly at risk: The central United States, western Europe and the Ukraine/Russian region. Moreover, I present evidence that the wave 7 pattern has and extreme weather in these regions. My results suggest that the increase in frequency can be linked to favourable changes in large scale temperature gradients, which I show to be largely underestimated by model simulations. Using surface temperature fingerprint as proxy for investigating historic and future model ensembles, evidence is presented that anthropogenic warming has likely increased the probability for the occurence of circumglobal Rossby waves. Further it is shown that this might lead to a doubling of such events until the end of the century under a high-emission scenario.
Overall, this thesis establishes several atmosphere-dynamical pathways by which changes in large scale temperature gradients might link to persistent boreal summer weather. It highlights the societal risks associated with the increasing occurence of a newly discovered Rossby wave teleconnection pattern, which has the potential to cause simultaneaous heat-extremes in the mid-latitudinal bread-basket regions. In addition, it provides further evidence that the traditional picture by which quasi-stationary Rossby waves occur only in the low wavenumber regime, should be reconsidered.
3D geovisualization systems (3DGeoVSs) that use 3D geovirtual environments as a conceptual and technical framework are increasingly used for various applications. They facilitate obtaining insights from ubiquitous geodata by exploiting human abilities that other methods cannot provide. 3DGeoVSs are often complex and evolving systems required to be adaptable and to leverage distributed resources. Designing a 3DGeoVS based on service-oriented architectures, standards, and image-based representations (SSI) facilitates resource sharing and the agile and efficient construction and change of interoperable systems. In particular, exploiting image-based representations (IReps) of 3D views on geodata supports taking full advantage of the potential of such system designs by providing an efficient, decoupled, interoperable, and increasingly applied representation.
However, there is insufficient knowledge on how to build service-oriented, standards-based 3DGeoVSs that exploit IReps. This insufficiency is substantially due to technology and interoperability gaps between the geovisualization domain and further domains that such systems rely on.
This work presents a coherent framework of contributions that support designing the software architectures of targeted systems and exploiting IReps for providing, styling, and interacting with geodata. The contributions uniquely integrate existing concepts from multiple domains and novel contributions for identified limitations. The proposed software reference architecture (SRA) for 3DGeoVSs based on SSI facilitates designing concrete software architectures of such systems. The SRA describes the decomposition of 3DGeoVSs into a network of services and integrates the following contributions to facilitate exploiting IReps effectively and efficiently. The proposed generalized visualization pipeline model generalizes the prevalent visualization pipeline model and overcomes its expressiveness limitations with respect to transforming IReps. The proposed approach for image-based provisioning enables generating and supplying service consumers with image-based views (IViews). IViews act as first-class data entities in the communication between services and provide a suitable IRep and encoding of geodata. The proposed approach for image-based styling separates concerns of styling from image generation and enables styling geodata uniformly represented as IViews specified as algebraic compositions of high-level styling operators. The proposed approach for interactive image-based novel view generation enables generating new IViews from existing IViews in response to interactive manipulations of the viewing camera and includes an architectural pattern that generalizes common novel view generation. The proposed interactive assisting, constrained 3D navigation technique demonstrates how a navigation technique can be built that supports users in navigating multiscale virtual 3D city models, operates in 3DGeoVSs based on SSI as an application of the SRA, can exploit IReps, and can support collaborating services in exploiting IReps.
The validity of the contributions is supported by proof-of-concept prototype implementations and applications and effectiveness and efficiency studies including a user study. Results suggest that this work promises to support designing 3DGeoVSs based on SSI that are more effective and efficient and that can exploit IReps effectively and efficiently. This work presents a template software architecture and key building blocks for building novel IT solutions and applications for geodata, e.g., as components of spatial data infrastructures.
In this era of high-speed informatization and globalization, online education is no longer an exquisite concept in the ivory tower, but a rapidly developing industry closely relevant to people's daily lives. Numerous lectures are recorded in form of multimedia data, uploaded to the Internet and made publicly accessible from anywhere in this world. These lectures are generally addressed as e-lectures. In recent year, a new popular form of e-lectures, the Massive Open Online Courses (MOOCs), boosts the growth of online education industry and somehow turns "learning online" into a fashion.
As an e-learning provider, besides to keep improving the quality of e-lecture content, to provide better learning environment for online learners is also a highly important task. This task can be preceded in various ways, and one of them is to enhance and upgrade the learning materials provided: e-lectures could be more than videos. Moreover, this process of enhancement or upgrading should be done automatically, without giving extra burdens to the lecturers or teaching teams, and this is the aim of this thesis.
The first part of this thesis is an integrated framework of multi-lingual subtitles production, which can help online learners penetrate the language barrier. The framework consists of Automatic Speech Recognition (ASR), Sentence Boundary Detection (SBD) and Machine Translation (MT), among which the proposed SBD solution is major technical contribution, building on Deep Neural Network (DNN) and Word Vector (WV) and achieving state-of-the-art performance. Besides, a quantitative evaluation with dozens of volunteers is also introduced to measure how these auto-generated subtitles could actually help in context of e-lectures.
Secondly, a technical solution "TOG" (Tree-Structure Outline Generation) is proposed to extract textual content from the displaying slides recorded in video and re-organize them into a hierarchical lecture outline, which may serve in multiple functions, such like preview, navigation and retrieval. TOG runs adaptively and can be roughly divided into intra-slide and inter-slides phases. Table detection and lecture video segmentation can be implemented as sub- or post-application in these two phases respectively. Evaluation on diverse e-lectures shows that all the outlines, tables and segments achieved are trustworthily accurate.
Based on the subtitles and outlines previously created, lecture videos can be further split into sentence units and slide-based segment units. A lecture highlighting process is further applied on these units, in order to capture and mark the most important parts within the corresponding lecture, just as what people do with a pen when reading paper books. Sentence-level highlighting depends on the acoustic analysis on the audio track, while segment-level highlighting focuses on exploring clues from the statistical information of related transcripts and slide content. Both objective and subjective evaluations prove that the proposed lecture highlighting solution is with decent precision and welcomed by users.
All above enhanced e-lecture materials have been already implemented in actual use or made available for implementation by convenient interfaces.
Prosody is a rich source of information that heavily supports spoken language comprehension. In particular, prosodic phrase boundaries divide the continuous speech stream into chunks reflecting the semantic and syntactic structure of an utterance. This chunking or prosodic phrasing plays a critical role in both spoken language processing and language acquisition. Aiming at a better understanding of the underlying processing mechanisms and their acquisition, the present work investigates factors that influence prosodic phrase boundary perception in adults and infants. Using the event-related potential (ERP) technique, three experimental studies examined the role of prosodic context (i.e., phrase length) in German phrase boundary perception and of the main prosodic boundary cues, namely pitch change, final lengthening, and pause. With regard to the boundary cues, the dissertation focused on the questions which cues or cue combination are essential for the perception of a prosodic boundary and on whether and how this cue weighting develops during infancy.
Using ERPs is advantageous because the technique captures the immediate impact of (linguistic) information during on-line processing. Moreover, as it can be applied independently of specific task demands or an overt response performance, it can be used with both infants and adults. ERPs are particularly suitable to study the time course and underlying mechanisms of boundary perception, because a specific ERP component, the Closure Positive Shift (CPS) is well established as neuro-physiological indicator of prosodic boundary perception in adults.
The results of the three experimental studies first underpin that the prosodic context plays an immediate role in the processing of prosodic boundary information. Moreover, the second study reveals that adult listeners perceive a prosodic boundary also on the basis of a sub-set of the boundary cues available in the speech signal. Both ERP and simultaneously collected behavioral data (i.e., prosodic judgements) suggest that the combination of pitch change and final lengthening triggers boundary perception; however, when presented as single cues, neither pitch change nor final lengthening were sufficient. Finally, testing six- and eight-month-old infants shows that the early sensitivity for prosodic information is reflected in a brain response resembling the adult CPS. For both age groups, brain responses to prosodic boundaries cued by pitch change and final lengthening revealed a positivity that can be interpreted as a CPS-like infant ERP component. In contrast, but comparable to the adults’ response pattern, pitch change as a single cue does not provoke an infant CPS. These results show that infant phrase boundary perception is not exclusively based on pause detection and hint at an early ability to exploit subtle, relational prosodic cues in speech perception.
In the wake of 21st century, humanity witnessed a phenomenal raise of urban agglomerations as powerhouses for innovation and socioeconomic growth. Driving much of national (and in few instances even global) economy, such a gargantuan raise of cities is also accompanied by subsequent increase in energy, resource consumption and waste generation. Much of anthropogenic transformation of Earth's environment in terms of environmental pollution at local level to planetary scale in the form of climate change is currently taking place in cities. Projected to be crucibles for entire humanity by the end of this century, the ultimate fate of humanity predominantly lies in the hands of technological innovation, urbanites' attitudes towards energy/resource consumption and development pathways undertaken by current and future cities. Considering the unparalleled energy, resource consumption and emissions currently attributed to global cities, this thesis addresses these issues from an efficiency point of view. More specifically, this thesis addresses the influence of population size, density, economic geography and technology in improving urban greenhouse gas (GHG) emission efficiency and identifies the factors leading to improved eco-efficiency in cities. In order to investigate the in uence of these factors in improving emission and resource efficiency in cities, a multitude of freely available datasets were coupled with some novel methodologies and analytical approaches in this thesis.
Merging the well-established Kaya Identity to the recently developed urban scaling laws, an Urban Kaya Relation is developed to identify whether large cities are more emission efficient and the intrinsic factors leading to such (in)efficiency. Applying Urban Kaya Relation to a global dataset of 61 cities in 12 countries, this thesis identifed that large cities in developed regions of the world will bring emission efficiency gains because of the better technologies implemented in these cities to produce and utilize energy consumption while the opposite is the case for cities in developing regions. Large cities in developing countries are less efficient mainly because of their affluence and lack of efficient technologies. Apart from the in uence of population size on emission efficiency, this thesis identified the crucial role played by population density in improving building and on-road transport sector related emission efficiency in cities. This is achieved by applying the City Clustering Algorithm (CCA) on two different gridded land use datasets and a standard emission inventory to attribute these sectoral emissions to all inhabited settlements in the USA. Results show that doubling the population density would entail a reduction in the total CO2 emissions in buildings and on-road sectors typically by at least 42 %. Irrespective of their population size and density, cities are often blamed for their intensive resource consumption that threatens not only local but also global sustainability. This thesis merged the concept of urban metabolism with benchmarking and identified cities which are eco-efficient. These cities enable better socioeconomic conditions while being less burden to the environment. Three environmental burden indicators (annual average NO2 concentration, per capita waste generation and water consumption) and two socioeconomic indicators (GDP per capita and employment ratio) for 88 most populous European cities are considered in this study. Using two different non-parametric ranking methods namely regression residual ranking and Data Envelopment Analysis (DEA), eco-efficient cities and their determining factors are identified. This in-depth analysis revealed that mature cities with well-established economic structures such as Munich, Stockholm and Oslo are eco-efficient. Further, correlations between objective eco-efficiency ranking with each of the indicator rankings and the ranking of urbanites' subjective perception about quality of life are analyzed. This analysis revealed that urbanites' perception about quality of life is not merely confined to the socioeconomic well-being but rather to their combination with lower environmental burden.
In summary, the findings of this dissertation has three general conclusions for improving emission and ecological efficiency in cities. Firstly, large cities in emerging nations face a huge challenge with respect to improving their emission efficiency. The task in front of these cities is threefold: (1) deploying efficient technologies for the generation of electricity and improvement of public transportation to unlock their leap frogging potential, (2) addressing the issue of energy poverty and (3) ensuring that these cities do not develop similar energy consumption patterns with infrastructure lock-in behavior similar to those of cities in developed regions. Secondly, the on-going urban sprawl as a global phenomenon will decrease the emission efficiency within the building and transportation sector. Therefore, local policy makers should identify adequate fiscal and land use policies to curb urban sprawl. Lastly, since mature cities with well-established economic structures are more eco-efficient and urbanites' perception re ects its combination with decreasing environmental burden; there is a need to adopt and implement strategies which enable socioeconomic growth in cities whilst decreasing their environment burden.
The thesis focuses on the inter-departmental coordination of adaptation and mitigation of demographic change in East Germany. All Eastern German States (Länder) have set up inter-departmental committees (IDCs) that are expected to deliver joint strategies to tackle demographic change. IDCs provide an organizational setting for potential positive coordination, i.e. a joint approach to problem solving that pools and utilizes the expertise of many departments in a constructive manner from the very beginning. Whether they actually achieve positive coordination is contested within the academic debate. This motivates the first research question of this thesis: Do IDCs achieve positive coordination?
Interdepartmental committees and their role in horizontal coordination within the core executive triggered interest among scholars already more than fifty years ago. However, we don’t know much about their actual importance for the inter-departmental preparation of cross-cutting policies. Until now, few studies can be found that analyzes inter-departmental committees in a comparative way trying to identify whether they achieve positive coordination and what factors shape the coordination process and output of IDCs.
Each IDC has a chair organization that is responsible for managing the interactions within the IDCs. The chair organization is important, because it organizes and structures the overall process of coordination in the IDC. Consequently, the chair of an IDC serves as the main boundary-spanner and therefore has remarkable influence by arranging meetings and the work schedule or by distributing internal roles. Interestingly, in the German context we find two organizational approaches: while some states decided to put a line department (e.g. Department of Infrastructure) in charge of managing the IDC, others rely on the State Chancelleries, i.e. the center of government.
This situation allows for comparative research design that can address the role of the State Chancellery in inter-departmental coordination of cross-cutting policies. This is relevant, because the role of the center is crucial when studying coordination within central government. The academic debate on the center of government in the German politico-administrative system is essentially divided into two camps. One camp claims that the center can improve horizontal coordination and steer cross-cutting policy-making more effectively, while the other camp points to limits to central coordination due to departmental autonomy. This debate motivates the second research question of this thesis: Does the State Chancellery as chair organization achieve positive coordination in IDCs?
The center of government and its role in the German politic-administrative system has attracted academic attention already in the 1960s and 1970s. There is a research desiderate regarding the center’s role during the inter-departmental coordination process. There are only few studies that explicitly analyze centers of government and their role in coordination of cross-cutting policies, although some single case studies have been published. This gap in the academic debate will be addressed by the answer to the second research question.
The dependent variable of this study is the chair organization of IDCs. The value of this variable is dichotomous: either an IDC is chaired by a Line department or by a State Chancellery. We are interested whether this variable has an effect on two dependent variables. First, we will analyze the coordination process, i.e. interaction among bureaucrats within the IDC. Second, the focus of this thesis will be on the coordination result, i.e. the demography strategies that are produced by the respective IDCs.
In terms of the methodological approach, this thesis applies a comparative case study design based on a most-similar-systems logic. The German Federalism is quite suitable for such designs. Since the institutional framework largely is the same across all states, individual variables and their effect can be isolated and plausibly analyzed. To further control for potential intervening variables, we will limit our case selection to states located in East Germany, because the demographic situation is most problematic in the Eastern part of Germany, i.e. there is a equal problem pressure. Consequently, we will analyze five cases: Thuringia, Saxony-Anhalt (line department) and Brandenburg, Mecklenburg-Vorpommern and Saxony (State Chancellery).
There is no grand coordination theory that is ready to be applied to our case studies. Therefore, we need to tailor our own approach. Our assumption is that the individual chair organization has an effect on the coordination process and output of IDCs, although all cases are embedded in the same institutional setting, i.e. the German politico-administrative system. Therefore, we need an analytical approach than incorporates institutionalist and agency-based arguments. Therefore, this thesis will utilize Actor-Centered Institutionalism (ACI). Broadly speaking, ACI conceptualizes actors’ behavior as influenced - but not fully determined - by institutions. Since ACI is rather abstract we need to adapt it for the purpose of this thesis. Line Departments and State Chancelleries will be modeled as distinct actors with different action orientations and capabilities to steer the coordination process. However, their action is embedded within the institutional context of governments, which we will conceptualize as being comprised of regulative (formal rules) and normative (social norms) elements.
Dark matter, DM, has not yet been directly observed, but it has a very solid theoretical basis. There are observations that provide indirect evidence, like galactic rotation curves that show that the galaxies are rotating too fast to keep their constituent parts, and galaxy clusters that bends the light coming from behind-lying galaxies more than expected with respect to the mass that can be calculated from what can be visibly seen. These observations, among many others, can be explained with theories that include DM. The missing piece is to detect something that can exclusively be explained by DM. Direct observation in a particle accelerator is one way and indirect detection using telescopes is another. This thesis is focused on the latter method.
The Very Energetic Radiation Imaging Telescope Array System, V ERITAS, is a telescope array that detects Cherenkov radiation. Theory predicts that DM particles annihilate into, e.g., a γγ pair and create a distinctive energy spectrum when detected by such telescopes, e.i., a monoenergetic line at the same energy as the particle mass. This so called ”smoking-gun” signature is sought with a sliding window line search within the sub-range ∼ 0.3 − 10 TeV of the VERITAS energy range, ∼ 0.01 − 30 TeV.
Standard analysis within the VERITAS collaboration uses Hillas analysis and look-up tables, acquired by analysing particle simulations, to calculate the energy of the particle causing the Cherenkov shower. In this thesis, an improved analysis method has been used. Modelling each shower as a 3Dgaussian should increase the energy recreation quality. Five dwarf spheroidal galaxies were chosen as targets with a total of ∼ 224 hours of data. The targets were analysed individually and stacked. Particle simulations were based on two simulation packages, CARE and GrISU.
Improvements have been made to the energy resolution and bias correction, up to a few percent each, in comparison to standard analysis. Nevertheless, no line with a relevant significance has been detected. The most promising line is at an energy of ∼ 422 GeV with an upper limit cross section of 8.10 · 10^−24 cm^3 s^−1 and a significance of ∼ 2.73 σ, before trials correction and ∼ 1.56 σ after. Upper limit cross sections have also been calculated for the γγ annihilation process and four other outcomes. The limits are in line with current limits using other methods, from ∼ 8.56 · 10^−26 − 6.61 · 10^−23 cm^3s^−1. Future larger telescope arrays, like the upcoming Cherenkov Telescope Array, CTA, will provide better results with the help of this analysis method.
Translating innovation
(2017)
This doctoral thesis studies the process of innovation adoption in public administrations, addressing the research question of how an innovation is translated to a local context. The study empirically explores Design Thinking as a new problem-solving approach introduced by a federal government organisation in Singapore. With a focus on user-centeredness, collaboration and iteration Design Thinking seems to offer a new way to engage recipients and other stakeholders of public services as well as to re-think the policy design process from a user’s point of view. Pioneered in the private sector, early adopters of the methodology include civil services in Australia, Denmark, the United Kingdom, the United States as well as Singapore. Hitherto, there is not much evidence on how and for which purposes Design Thinking is used in the public sector.
For the purpose of this study, innovation adoption is framed in an institutionalist perspective addressing how concepts are translated to local contexts. The study rejects simplistic views of the innovation adoption process, in which an idea diffuses to another setting without adaptation. The translation perspective is fruitful because it captures the multidimensionality and ‘messiness’ of innovation adoption. More specifically, the overall research question addressed in this study is: How has Design Thinking been translated to the local context of the public sector organisation under investigation? And from a theoretical point of view: What can we learn from translation theory about innovation adoption processes?
Moreover, there are only few empirical studies of organisations adopting Design Thinking and most of them focus on private organisations. We know very little about how Design Thinking is embedded in public sector organisations. This study therefore provides further empirical evidence of how Design Thinking is used in a public sector organisation, especially with regards to its application to policy work which has so far been under-researched.
An exploratory single case study approach was chosen to provide an in-depth analysis of the innovation adoption process. Based on a purposive, theory-driven sampling approach, a Singaporean Ministry was selected because it represented an organisational setting in which Design Thinking had been embedded for several years, making it a relevant case with regard to the research question. Following a qualitative research design, 28 semi-structured interviews (45-100 minutes) with employees and managers were conducted. The interview data was triangulated with observations and documents, collected during a field research research stay in Singapore.
The empirical study of innovation adoption in a single organisation focused on the intra-organisational perspective, with the aim to capture the variations of translation that occur during the adoption process. In so doing, this study opened the black box often assumed in implementation studies. Second, this research advances translation studies not only by showing variance, but also by deriving explanatory factors. The main differences in the translation of Design Thinking occurred between service delivery and policy divisions, as well as between the first adopter and the rest of the organisation. For the intra-organisational translation of Design Thinking in the Singaporean Ministry the following five factors played a role: task type, mode of adoption, type of expertise, sequence of adoption, and the adoption of similar practices.
This study was inspired by the desire to contribute to literature on performance management from the context of a developing country. The guiding research questions were: How do managers use performance information in decision making? Why do managers use performance information the way they do? The study was based on theoretical strands of neo-patrimonialism and new institutionalism. The nature of the inquiry informed the choice of a qualitative case study research design. Data was assembled through face-to-face interviews, some observations, and collection of documents from managers at the levels of the directorate, division, and section/units. The managers who were the focus of this study are current or former staff members of the state departments in Kenya’s national Ministry of Agriculture, Livestock, and Fisheries as well as from departments responsible for coordination of performance related reforms.
The findings of this study show that performance information is regularly produced but its use by managers varies. Examples of use include preparing reports to external bodies, making decisions for resource re-allocation, making recommendations for rewards and sanctions, and policy advisory. On categorizing the forms of use as passive, purposeful, political or perverse, evidence shows that they overlap and that some of the forms are so closely related that it is difficult to separate them empirically.
On what can explain the forms of use established, four factors namely; political will and leadership; organizational capacity; administrative culture; and managers’ interests and attitudes, were investigated. While acknowledging the interrelatedness and even overlapping of the factors, the study demonstrates that there is explanatory power to each though with varying depth and scope. The study thus concludes that: Inconsistent political will and leadership for performance management reforms explain forms of use that are passive, political and perverse. Low organizational capacity could best explain passive and some limited aspects of purposeful use. Informal, personal and competitive administrative culture is associated with purposeful use and mostly with political and perverse use. Limited interest and apprehensive attitude are best associated with passive use.
The study contributes to the literature particularly in how institutions in a context of neo-patrimonialism shape performance information use. It recommends that further research is necessary to establish how neo-patrimonialism positively affects performance oriented reforms. This is interesting in particular given the emerging thinking on pockets of effectiveness and developmental patrimonialism. This is important since it is expected that performance related reforms will continue to be advocated in developing countries in the foreseeable future.
In littoral zones of lakes, multiple processes determine lake ecology and water quality. Lacustrine groundwater discharge (LGD), most frequently taking place in littoral zones, can transport or mobilize nutrients from the sediments and thus contribute significantly to lake eutrophication. Furthermore, lake littoral zones are the habitat of benthic primary producers, namely submerged macrophytes and periphyton, which play a key role in lake food webs and influence lake water quality. Groundwater-mediated nutrient-influx can potentially affect the asymmetric competition between submerged macrophytes and periphyton for light and nutrients. While rooted macrophytes have superior access to sediment nutrients, periphyton can negatively affect macrophytes by shading. LGD may thus facilitate periphyton production at the expense of macrophyte production, although studies on this hypothesized effect are missing.
The research presented in this thesis is aimed at determining how LGD influences periphyton, macrophytes, and the interactions between these benthic producers. Laboratory experiments were combined with field experiments and measurements in an oligo-mesotrophic hard water lake.
In the first study, a general concept was developed based on a literature review of the existing knowledge regarding the potential effects of LGD on nutrients and inorganic and organic carbon loads to lakes, and the effect of these loads on periphyton and macrophytes. The second study includes a field survey and experiment examining the effects of LGD on periphyton in an oligotrophic, stratified hard water lake (Lake Stechlin). This study shows that LGD, by mobilizing phosphorus from the sediments, significantly promotes epiphyton growth, especially at the end of the summer season when epilimnetic phosphorus concentrations are low. The third study focuses on the potential effects of LGD on submerged macrophytes in Lake Stechlin. This study revealed that LGD may have contributed to an observed change in macrophyte community composition and abundance in the shallow littoral areas of the lake. Finally, a laboratory experiment was conducted which mimicked the conditions of a seepage lake. Groundwater circulation was shown to mobilize nutrients from the sediments, which significantly promoted periphyton growth. Macrophyte growth was negatively affected at high periphyton biomasses, confirming the initial hypothesis.
More generally, this thesis shows that groundwater flowing into nutrient-limited lakes may import or mobilize nutrients. These nutrients first promote periphyton, and subsequently provoke radical changes in macrophyte populations before finally having a possible influence on the lake’s trophic state. Hence, the eutrophying effect of groundwater is delayed and, at moderate nutrient loading rates, partly dampened by benthic primary producers. The present research emphasizes the importance and complexity of littoral processes, and the need to further investigate and monitor the benthic environment. As present and future global changes can significantly affect LGD, the understanding of these complex interactions is required for the sustainable management of lake water quality.
Trends in precipitation over Germany and the Rhine basin related to changes in weather patterns
(2017)
Precipitation as the central meteorological feature for agriculture, water security, and human well-being amongst others, has gained special attention ever since. Lack of precipitation may have devastating effects such as crop failure and water scarcity. Abundance of precipitation, on the other hand, may as well result in hazardous events such as flooding and again crop failure. Thus, great effort has been spent on tracking changes in precipitation and relating them to underlying processes. Particularly in the face of global warming and given the link between temperature and atmospheric water holding capacity, research is needed to understand the effect of climate change on precipitation.
The present work aims at understanding past changes in precipitation and other meteorological variables. Trends were detected for various time periods and related to associated changes in large-scale atmospheric circulation. The results derived in this thesis may be used as the foundation for attributing changes in floods to climate change. Assumptions needed for the downscaling of large-scale circulation model output to local climate stations are tested and verified here.
In a first step, changes in precipitation over Germany were detected, focussing not only on precipitation totals, but also on properties of the statistical distribution, transition probabilities as a measure for wet/dry spells, and extreme precipitation events.
Shifting the spatial focus to the Rhine catchment as one of the major water lifelines of Europe and the largest river basin in Germany, detected trends in precipitation and other meteorological variables were analysed in relation to states of an ``optimal'' weather pattern classification. The weather pattern classification was developed seeking the best skill in explaining the variance of local climate variables.
The last question addressed whether observed changes in local climate variables are attributable to changes in the frequency of weather patterns or rather to changes within the patterns itself. A common assumption for a downscaling approach using weather patterns and a stochastic weather generator is that climate change is expressed only as a changed occurrence of patterns with the pattern properties remaining constant. This assumption was validated and the ability of the latest generation of general circulation models to reproduce the weather patterns was evaluated.
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Precipitation changes in Germany in the period 1951-2006 can be summarised briefly as negative in summer and positive in all other seasons. Different precipitation characteristics confirm the trends in total precipitation: while winter mean and extreme precipitation have increased, wet spells tend to be longer as well (expressed as increased probability for a wet day followed by another wet day). For summer the opposite was observed: reduced total precipitation, supported by decreasing mean and extreme precipitation and reflected in an increasing length of dry spells.
Apart from this general summary for the whole of Germany, the spatial distribution within the country is much more differentiated. Increases in winter precipitation are most pronounced in the north-west and south-east of Germany, while precipitation increases are highest in the west for spring and in the south for autumn. Decreasing summer precipitation was observed in most regions of Germany, with particular focus on the south and west.
The seasonal picture, however, was again differently represented in the contributing months, e.g.\ increasing autumn precipitation in the south of Germany is formed by strong trends in the south-west in October and in the south-east in November. These results emphasise the high spatial and temporal organisation of precipitation changes.
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The next step towards attributing precipitation trends to changes in large-scale atmospheric patterns was the derivation of a weather pattern classification that sufficiently stratifies the local climate variables under investigation. Focussing on temperature, radiation, and humidity in addition to precipitation, a classification based on mean sea level pressure, near-surface temperature, and specific humidity was found to have the best skill in explaining the variance of the local variables. A rather high number of 40 patterns was selected, allowing typical pressure patterns being assigned to specific seasons by the associated temperature patterns. While the skill in explaining precipitation variance is rather low, better skill was achieved for radiation and, of course, temperature.
Most of the recent GCMs from the CMIP5 ensemble were found to reproduce these weather patterns sufficiently well in terms of frequency, seasonality, and persistence.
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Finally, the weather patterns were analysed for trends in pattern frequency, seasonality, persistence, and trends in pattern-specific precipitation and temperature. To overcome uncertainties in trend detection resulting from the selected time period, all possible periods in 1901-2010 with a minimum length of 31 years were considered. Thus, the assumption of a constant link between patterns and local weather was tested rigorously. This assumption was found to hold true only partly. While changes in temperature are mainly attributable to changes in pattern frequency, for precipitation a substantial amount of change was detected within individual patterns.
Magnitude and even sign of trends depend highly on the selected time period. The frequency of certain patterns is related to the long-term variability of large-scale circulation modes.
Changes in precipitation were found to be heterogeneous not only in space, but also in time - statements on trends are only valid for the specific time period under investigation. While some part of the trends can be attributed to changes in the large-scale circulation, distinct changes were found within single weather patterns as well.
The results emphasise the need to analyse multiple periods for thorough trend detection wherever possible and add some note of caution to the application of downscaling approaches based on weather patterns, as they might misinterpret the effect of climate change due to neglecting within-type trends.