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Today’s agriculture heavily relies on pesticides to manage diverse pests and maximise crop yields. Despite elaborate regulation of pesticide use based on a complex environmental risk assessment (ERA) scheme, the widespread use of these biologically active compounds has been shown to be a threat to the environment. For surface waters, pesticide exposure has been observed to exceed safe concentration levels and negatively impact stream ecology leading to the question whether current ERA schemes ensure a sustainable use of pesticides. To answer this, the large-scale “Kleingewässer-Monitoring” (KgM) assessed the occurrence of pesticides and related effects in 124 streams throughout Germany, Central Europe, in 2018 and 2019.
Based on five scientific publications originating from the KgM, this thesis evaluated pesticide exposure in streams, ecological effects and the regulatory implications. More than 1,000 water samples were analysed for over 100 pesticide analytes to characterise occurrence patterns (publication 1). Measured concentrations and effects were used to validate the exposure and effect concentrations predicted in the ERA (publication 2). By jointly analysing real-world pesticide application data and measured pesticide mixtures in streams, the disregard of environmental pesticide mixtures in the ERA was evaluated (publication 3). The toxic potential of mixtures in stream water was additionally investigated using suspect screening for 395 chemicals and a battery of in-vitro bioassays (publication 4). Finally, the results from the KgM stream monitoring were used to assess the capability to identify pesticide risks in governmental monitoring programmes (publication 5).
The results of this thesis reveal the widespread occurrence of pesticides in non-target stream ecosystems. The water samples contained a variety of pesticides occurring in complex mixtures predominantly in short-term peaks after rainfall events (publications 1 & 4). Respective pesticide concentration maxima were linked to declines in vulnerable invertebrate species and exceeded regulatory acceptable concentrations in about 80% of agricultural streams, while these thresholds were still estimated partly insufficient to protect the invertebrate community (publication 2). The co-occurrence of pesticides in streams led to a risk underestimated in the single substance-oriented ERA by a factor of about 3.2 in realistic worst-case scenarios, which is further exacerbated by a high frequency at which non-target organism are exposed to pesticides (publication 3). Stream water samples taken after rainfall caused distinct effects in bioassays which were only explainable to a minor extent by the many analytes, indicating the relevance of unknown chemical or biological mixture components (publication 4). Finally, the regulatory monitoring of surface waters under the Water Framework Directive (WFD) was found to significantly underestimate pesticide risks, as about three quarters of critical pesticides and more than half of streams at risk were overlooked (publication 5).
Essentially, this thesis involves a new level of validation of the ERA of pesticides in aquatic ecosystems by assessing pesticide occurrence and environmental impacts at a scale so far unique. The overall results demonstrate that the current agricultural use of pesticides leads to significant impacts on stream ecology that go beyond the level tolerated under the ERA. This thesis identified the underestimation of pesticide exposure, the potential insufficiency of regulatory thresholds and the general inertia of the authorisation process as the main causes why the ERA fails to meet its objectives. To achieve a sustainable use of pesticides, the thesis proposes substantial refinements of the ERA. Adequate monitoring programmes such as the KgM, which go beyond current government monitoring efforts, will continue to be needed to keep pesticide regulators constantly informed of the validity of their prospective ERA, which will always be subject to uncertainty.
Instructor feedback on written assignments is one of the most important elements in the writing process, especially for students writing in English as a foreign language. However, students are often critical of both the amount and quality of the feedback they receive. In order to better understand what makes feedback effective, this study explored the nature of students’ assessments of the educational alliance, and how their receptivity to, perceptions of, and decisions about using their instructors’ feedback differed depending on how strong they believed the educational alliance to be. This exploratory case study found that students not only assessed the quality of the educational alliance based on goal compatibility, task relevance, and teacher effectiveness, but that there was also a reciprocal relationship between these elements. Furthermore, students’ perceptions of the educational alliance directly influenced how they perceived the feedback, which made the instructor’s choice of feedback method largely irrelevant. Stronger educational alliances resulted in higher instances of critical engagement, intrinsic motivation, and feelings of self-efficacy. The multidirectional influence of goal, task, and bond mean that instructors who want to maximize their feedback efforts need to attend to all three.
Thousands of chemicals from daily use are being discharged from civilization into the water cycle via different pathways. Ingredients of personal care products, detergents, pharmaceuticals, pesticides, and industrial chemicals thus find their way into the aquatic ecosystems and may cause adverse impacts on the ecology. Pharmaceuticals for instance, represent a central group of anthropogenic chemicals, because of their designed potency to interfere with physiological functions in organisms. Ecotoxicological effects from pharmaceutical burden have been verified in the past. Therapeutic groups with pronounced endocrine disrupting potentials such as steroid hormones gain increasing focus in environmental research as it was reported that they cause endocrine disruption in aquatic organisms even when exposed to environmentally relevant concentrations. This thesis considers the comprehensive investigation of the occurrence of corticosteroids and progestogens in wastewater treatment plant (WWTP) effluents and surface waters as well as the elucidation of the fate and biodegradability of these steroid families during activated sludge treatment. For the first goal of the thesis, a robust and highly sensitive analytical method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed in order to simultaneously determine the occurrence of around 60 mineralocorticoids, glucocorticoids and progestogens in the aquatic environment. A special focus was set to the compound selection due to the diversity of marketed synthetic steroids. Some analytical challenges have been approved by individual approaches regarding sensitivity enhancement and compound stabilities. These results may be important for further research in environmental analysis of steroid hormones. Reliable and low quantification limits are the perquisite for the determination of corticosteroids and progestogens at relevant concentrations due to low consumption volumes and simultaneously low effect-based trigger values. Achieved quantification limits for all target analytes ranged between 0.02 ng/L and 0.5 ng/L in surface water and 0.05 ng/L to 5 ng/L in WWTP effluents. This sensitivity enabled the detection of three mineralocorticoids, 23 glucocorticoids and 10 progestogens within the sampling campaign around Germany. Many of them were detected for the first time in the environment, particularly in Germany and the EU. To the best of our knowledge, this in-depth steroid screening provided a good overview of single steroid burden and allowed for the identification of predominantly steroids of each steroid
type analyzed for the first time. The frequent detection of highly potent synthetic steroids (e.g. triamcinolone acetonide, clobetasol propionate, betamethasone valerate, dienogest, cyproterone acetate) highlighted insufficient removal during conventional Summary wastewater treatment and indicated the need for regulation to control their emission since the steroid concentrations were found to be above the reported effect-based trigger values for biota. Overall, the study revealed reliable environmental data of poorly or even not analyzed steroids. The results complement the existing knowledge in this field but also providednew information which can beused particularly for compound prioritization in ecotoxicological research and environmental analysis. Based on the data obtained from the monitoring campaign, incubation experiments were conducted to enable the comparison of the biodegradability and transformation processes in activated sludge treatment for structure-related steroids under aerobic and standardized experimental conditions. The compounds were accurately selected to cover manifold structural moieties of commonly used glucocorticoids, including non-halogenated and halogenated steroids, their mono- and diesters, and several acetonide-type steroids. This approach allowed for a structure-based interpretation of the results. The obtained biodegradation rate constants suggested large variations in the biodegradability (half-lifes ranged from < 0.5 h to > 14 d). An increasing stability was identified in the order from non-halogenated steroids (e.g. hydrocortisone), over 9α-halogenated steroids (e.g. betamethasone), to C17-monoesters (e.g. betamethasone 17-valerate, clobetasol propionate), and finally to acetonides (e.g. triamcinolone acetonide), thus suggesting a strong relationship of the biodegradability with the glucocorticoid structure. Some explanations for this behavior have been received by identifying the transformation products (TPs) and elucidating individual transformation pathways. The results revealed the identification of the likelihood of transformation reactions depending on the chemical steroid structure for the first time. Among the identified TPs, the carboxylates (e.g. TPs of fluticasone propionate, triamcinolone acetonide) have been shown persistency in the subsequent incubation experiments. The newly identified TPs furthermore were frequently detected in the effluents of full-scale wastewater treatment plants. These findings emphasized i) the transferability of the lab-scale degradation experiments to real world and that ii) insufficient removals may cause adverse effects in the aquatic environment due to the ability of the precursor steroids and TPs to interact with the endocrine system in biota. For the last goal, the conceptual study for glucocorticoids was applied to progestogens.
Here, two sub-types of the steroid family frequently used for hormonal contraception were selected (17α-hydroxyprogesterone and 19-norstestosterone type). The progestogens showed a fast and complete degradation within six hours, and thus empathizes pronounced biodegradability. However, cyproterone acetate and dienogest Summary have been found to be more recalcitrant in activated sludge treatment. This was consistent with their ubiquitously occurrence during the previous monitoring campaign. The elucidation of TPs again revealed some crucial information regarding the observed behavior and highlighted furthermore the formation of hazardous TPs. It was shown that 19-nortestosterone type steroids are able to undergo aromatization at ring A in contact with activated sludge, leading to the formation of estrogen-like TPs with a phenolic moiety at ring A. In the case of norethisterone the formation of 17α-ethinylestradiol was confirmed, which is a well-known potent synthetic estrogen with elevated ecotoxicological potency. Thus, the results indicated for the very first time an unknown source of estrogenic compounds, particularly for 17α-ethinylestradiol. In conclusion, some steroids were found to be very stable in activated sludge treatment, others degrade well, and others which do degrade but predominantly to active TPs depending on their chemical structure. Fluorinated acetal steroids such as triamcinolone acetonide and fluocinolone acetonide are poorly biodegradable, which is reflected in high concentrations detected ubiquitously in WWTP effluents. Endogenous steroids and their most related synthetic once such as hydrocortisone, prednisolone or 17α-hydroxyprogesterone are readily biodegradable. Regardless their high influent concentrations, they are almost completely removed in conventional WWTPs. Steroids between this range have been found to form elevated quantities of TPs which are partially still active, which particularly the case for betamethasone, fluticasone propionate, cyproterone acetate or dienogest. The thesis illustrates the need for an extensive evaluation of the environmental risks and carried out that corticosteroids and progestogens merit more attention in environmental regulatory and research than it is currently the case
The decline of biodiversity can be observed worldwide and its consequences are alarming. It is therefore crucial that nature must be protected and, where possible, restored. A wide variety of different project options are possible. Yet in the context of limited availability of resources, the selection of the most efficient measures is increasingly important. For this purpose, there is still a lack of information. This pertains, as outlined in the next paragraph, in particular, to information at different scales of projects.
Firstly, there is a lack of information on the concrete added value of biodiversity protection projects. Secondly, there is a lack of information on the actual impacts of such projects and on the costs and benefits associated with a project. Finally, there is a lack of information on the links between the design of a project, the associated framework conditions and the perception of specific impacts. This paper addresses this knowledge gap by providing more information on the three scales by means of three empirical studies on three different biodiversity protection projects in order to help optimize future projects.
The first study “Assessing the trade-offs in more nature-friendly mosquito control in the Upper Rhine region” examines the added value of a more nature-friendly mosquito control in the Upper Rhine Valley of Germany using a contingent valuation method. Recent studies show that the widely used biocide Bti, which is used as the main mosquito control agent in many parts of the world, has more negative effects on nature than previously expected. However, it is not yet clear whether the population supports a more nature-friendly mosquito control, as such an adaptation could potentially lead to higher nuisance. This study attempts to answer this question by assessing the willingness to pay for an adapted mosquito control strategy that reduces the use of Bti, while maintaining nuisance protection within settlements. The results show that the majority of the surveyed population attaches a high value to a more nature-friendly mosquito control and is willing to accept a higher nuisance outside of the villages.
The second study “Inner city river restoration projects: the role of project components for acceptance” examines the acceptance of a river restoration project in Rhineland-Palatinate, Germany. Despite much effort, many rivers worldwide are still in poor condition. Therefore, a rapid implementation of river restoration projects is of great importance. In this context, acceptance by society plays a fundamental role, however, the factors determining such acceptance are still poorly understood. In particular, the complex interplay between the acceptance or rejection of specific project components and the acceptance of the overall project require further exploration. This study addresses this knowledge gap by assessing the acceptance of the project, its various ecological and social components, and the perception of real and fictitious costs as well as the benefits of the components. Our findings demonstrate that while acceptance of the overall project is generally rather high, many respondents reject one or more of the project's components. Complementary social project components, like a playground, find less support than purely ecological components. Overall, our research shows that complementary components may increase or decrease acceptance of the overall project. We, furthermore, found that differences in the acceptance of the individual components depend on individual concerns, such as perceived flood risk, construction costs, expected noise and littering as well as the quality of communication, attachment to the site, and the age of the respondents.
The third study “What determines preferences for semi-natural habitats in agrarian landscapes? A choice-modelling approach across two countries using attributes characterizing vegetation” investigates people's aesthetic preferences for semi-natural habitats in agricultural landscapes. The EU-Common Agricultural Policy promotes the introduction of woody and grassy semi-natural habitats (SNH) in agricultural landscapes. While the benefits of these structures in terms of regulating ecosystem services are already well understood, the effects of SNH on visual landscape quality is still not clear. This study investigates the factors determining people’s visual preferences in the context of grassy and woody SNH elements in Swiss and Hungarian landscapes using picture-based choice experiments. The results suggest that respondents’ choices strongly depend on specific vegetation characteristics that appear and disappear over the year. In particular, flowers as a source of colours and green vegetation as well as ordered structure and the proportion of uncovered soil in the picture play an important role regarding respondents’ aesthetic perceptions of the pictures.
The three empirical studies can help to make future projects in the study areas of biodiversity protection more efficient. While this thesis highlights the importance of exploring biodiversity protection projects at different scales, further analyses of the different scales of biodiversity protection projects are needed to provide a sound basis to develop guidance on identifying the most efficient biodiversity protection projects.
Improving patient care is an ongoing process, evolving from early evidence-based practices to modern AI-driven approaches. This thesis explores three key research directions aimed at improving clinical decisionmaking through AI. Adverse events, defined as negative and harmful outcomes that occur during medical care, present major challenges for hospitals. Most data-driven research using electronic health records relies on data from tertiary referral hospitals, but their patient population differs from those in hospitals of medium level of care. The first major contribution of this thesis is a data-driven Trigger Tool for predicting adverse events trained on data from a hospital of medium level of care. This tool uses a concise set of laboratory values measured within the first 24 hours of hospitalization. In addition to models using numerical features, we devised models using dichotomized features that indicate whether a laboratory value falls below or above a reference threshold. Our findings show that models using numerical features achieve high accuracy in predicting acute kidney injury and the COVID-19 associated adverse events in-hospital mortality and transfer to the ICU. Models using dichotomous features performonly slightly worse but offer better interpretability.
The second major contribution is the online-updateable AI model OptAB for selecting optimal antibiotics in sepsis patients. OptAB aims to minimize the sepsis-related organ failure score (SOFA-Score) while accounting for nephrotoxic and hepatotoxic side effects. OptAB relies on a hybrid neural network differential equation algorithm tailored to the special properties of patient data, including irregular measurements, missing values, and time-dependent confounding. Time-dependent confounding describes a dependence between time-varying covariates and treatment decisionsmade by physicians, often leading to biased treatment effect estimates. OptAB generates disease course forecasts for (combinations of ) the antibiotics vancomycin, ceftriaxone, and piperacillin/tazobactam and learns realistic treatment effects on the SOFA-Score and side effect indicative laboratory values. Results indicate that OptAB’s recommendations achieve faster efficacy than the administered antibiotics while reducing side effects.
The third major contribution is DoseAI, an online-updateable AI model that extends OptAB to optimize dosing regimens. DoseAI mitigates time-dependent confounding in dosage selection by minimizing the absolute spearman correlation between predicted and future treatment dosages. It forecasts disease progression under alternative dosing regimens and proposes optimal chemotherapy and radiotherapy dosing regimens for synthetic cancer patients. These regimens effectively reduce the tumor volume while adhering to varying maximum allowed weight loss constraints, used as a measure of toxicity.
Das Organische Qualitätsmanagement (OQM) hat seine Wurzeln in der "Natürlichen Gemeindeentwicklung" (NGE). Der evangelische Theologe Christian A. Schwarz und der Diplompsychologe Christoph Schalk gingen im Rahmen eines internationalen Forschungsprojektes der Frage nach, ob es universell gültige Prinzipien für das qualitative und quantitative Wachstum von Kirchengemeinden gibt. Diese Studie wurde zu einem der größten Forschungsprojekte, das jemals über das Wachstum von Gemeinden durchgeführt wurde. Bis Februar 2011 wurden in über 70 Ländern 71.512 Profile für Kirchengemeinden unterschiedlichster Prägung und Konfession erstellt.
Das Ergebnis dieser fortschreitenden Studie bietet eine wissenschaftlich zu verifizierende Antwort auf die Frage: "Was sind die Wachstumsprinzipien, die unabhängig von Kultur, theologischer Prägung und Frömmigkeitsrichtung gelten und können sich diese Prinzipien auch positiv auf Non Profit Organisationen und säkulare Wirtschaftsunternehmen anwenden lassen? Kapitel 1 beschreibt zunächst die Entstehung, Herkunft und Entwicklung des OQM, d.h. den Übertragungsprozess aller Erkenntnisse aus der Entwicklung von Kirchengemeinden auf die Realität von kirchlichen Organisationen und später auf die Anforderungen eines Wirtschaftsunternehmens. Kapitel 2 geht ausführlich auf die Beschreibung der acht Qualitätsmerkmale ein. Hierbei stehen weniger die Substantive (Leitung, Mitarbeiter, Strukturen, Beziehungen etc.) im Mittelpunkt, als vielmehr die Adjektive (bevollmächtigend, gabenorientiert, zweckmäßig, vertrauensvoll etc.). Sie beschreiben, auf was es in Veränderungsprozessen wirklich ankommt.
Zu Beginn des Projektes war nicht abzusehen, ob und in welcher Weise sich die Qualitätsmerkmale und die christlichen Sozialprinzipien als Erfolgsfaktoren auch in anderen Unternehmensformen beweisen können. In Kapitel 3 werden Praxisbeispiele zeigen, dass ein dialogisch arbeitendes OQM nicht nur Kirchengemeinden sondern auch caritativen Unternehmen und sogar Wirtschaftsunternehmen helfen kann zu wachsen und somit erfolgreich zu sein.
Forschungsergebnisse zum Männerchorwesen Deutschlands im 19. Jahrhundert belegen dessen gesellschaftliche und politische Relevanz. Das so genannte Sängerwesen leistete demnach einen wesentlichen Beitrag zur Nationsbildung in Deutschland, da die Sänger durch ihren Gesang sowie durch ihre Aktivitäten im Verein und in der Öffentlichkeit zur inneren Einigung der Bevölkerung beitrugen und somit halfen, eine einheitliche Nation zu formen. Im Gegensatz dazu gab es bislang kaum Erkenntnisse über die gesellschaftlichen und politischen Hintergründe des Männerchorwesens der Pfalz im gleichen Zeitraum. Um diese Lücke zu schließen, wurde mit der vorliegenden Arbeit die Geschichte des Männerchorwesens der Pfalz erforscht, insbesondere hinsichtlich seiner Bedeutung für die Nationsbildung Deutschlands. Der Untersuchungszeitraum erstreckt sich von 1816, dem Jahr, in dem die Pfalz zum bayerischen Staatsgebiet wurde, bis zur Gründung des Deutschen Reiches im Jahre 1871.
Zunächst wird die Entwicklung des pfälzischen Sängerwesens bezüglich der Zahl der gegründeten Vereinen in den einzelnen Jahren und Orten sowie bezüglich des Feierns lokaler und regionaler Sängerfeste im Überblick und im Vergleich zum Musikvereinswesen der Pfalz im gleichen Zeitraum dargestellt. Dieser Betrachtung des pfälzischen Männerchorwesens als Ganzem folgt die Untersuchung seiner Einzelteile, der Personen und Ereignisse innerhalb einzelner Sängervereine und innerhalb bestimmter Zeitabschnitte, vor dem Hintergrund der jeweiligen politischen und gesellschaftlichen Situation. Bedeutend sind in diesem Zusammenhang vor allem die Auswirkungen der politisch-gesellschaftlichen Großereignisse Hambacher Fest von 1832 sowie Revolution von 1848/49 auf die laienmusikalischen Vereinskulturen.
Schließlich werden die einzelnen Phänomene und die Gesamtentwicklung aufeineander bezogen. Der Anhang der Forschungsarbeit beinhaltet, neben Auszügen aus den Protokollbüchern des "Cäcilienverein-Liedertafel Dürkheim" sowie Plakaten von pfälzischen Musik- und Sängerfesten der 1840er Jahre, Übersichtstabellen mit Informationen zu den Pfälzischen Musikfesten des 19. Jahrhunderts sowie zu den im Untersuchungszeitraum gegründeten Sängervereinen, außerdem Kartenmaterial zur räumlichen Verbreitung der Vereine sowie Notenmaterial zum freimaurerischen "Weihelied" des Kaiserslauterer Seminarlehrers Philipp Walter.
More than 10,000 organic chemicals such as pharmaceuticals, ingredients of personal care products and biocides are ubiquitously used in every day life. After their application, many of these chemicals enter the domestic sewer. Research has shown that conventional biological wastewater treatment in municipal wastewater treatment plants (WWTPs) is an insufficient barrier for the release of most of these anthropogenic chemicals into the receiving waters.
This bears unforeseen risks for aquatic wildlife and drinking water resources. Especially for recently introduced and/or detected compounds (so called emerging micropollutants), there is a growing need to investigate the occurrence and fate in WWTPs. In order to get a comprehensive picture on the behavior in municipal wastewater treatment, the following groups of emerging organic micropollutants, spanning a broad range of applications and physico-chemical properties, were selected as target compounds: pharmaceuticals (beta blockers, psycho-active drugs), UV-filters, vulcanization accelerators (benzothiazoles), biocides (anti-dandruffs, preservatives, disinfectants) and pesticides (phenylurea and triazine herbicides).
The work presented in this thesis investigated interactions of selected biophysical processes that affect zooplankton ecology at smaller scales. In this endeavour, the extent of changes in swimming behaviour and fluid disturbances produced by swimming Daphnia in response to changing physical environments were quantified. In the first research question addressed within this context, size and energetics of hydrodynamic trails produced by Daphnia swimming in non-stratified still waters were characterized and quantified as a function of organisms’ size and their swimming patterns.
The results revealed that neither size nor the swimming pattern of Daphnia affects the width of induced trails or dissipation rates. Nevertheless, as the size and swimming velocity of the organisms increased, trail volume increased in proportional to the cubic power of Reynolds number, and the biggest trail volume was about 500 times the body volume of the largest daphnids. Larger spatial extent of fluid perturbation and prolonged period to decay caused by bigger trail volumes would play a significant role in zooplankton ecology, e.g. increasing the risk of predation.
The study also found that increased trail volume brought about significantly enhanced total dissipated power at higher Reynolds number, and the magnitudes of total dissipated power observed varied in the range of (1.3-10)X10-9 W.
Furthermore, this study provided strong evidence that swimming speed of Daphnia and total dissipated power in Daphnia trails exceeded those of some other selected zooplankton species.
In recognizing turbulence as an intrinsic environmental perturbation in aquatic habitats, this thesis also examined the response of Daphnia to a range of turbulence flows, which correspond to turbu-lence levels that zooplankton generally encounter in their habitats. Results indicated that within the range of turbulent intensities to which the Daphnia are likely to be exposed in their natural habitats, increasing turbulence compelled the organisms to enhance their swimming activity and swim-ming speed. However, as the turbulence increased to extremely high values (10-4 m2s-3), Daphnia began to withdraw from their active swimming behaviour. Findings of this work also demonstrated that the threshold level of turbulence at which animals start to alleviate from largely active swimming is about 10-6 m2s-3. The study further illustrated that during the intermediate range of turbu-lence; 10-7 - 10-6 m2s-3, kinetic energy dissipation rates in the vicinity of the organisms is consistently one order of magnitude higher than that of the background turbulent flow.
Swarming, a common conspicuous behavioural trait observed in many zooplankton species, is considered to play a significant role in defining freshwater ecology of their habitats from food exploitation, mate encountering to avoiding predators through hydrodynamic flow structures produced by them, therefore, this thesis also investigated implications of Daphnia swarms at varied abundance & swarm densities on their swimming kinematics and induced flow field.
The results showed that Daphnia aggregated in swarms with swarm densities of (1.1-2.3)x103 L-1, which exceeded the abundance densities by two orders of magnitude (i.e. 1.7 - 6.7 L-1). The estimated swarm volume decreased from 52 cm3 to 6.5 cm3, and the mean neighbouring distance dropped from 9.9 to 6.4 body lengths. The findings of this work also showed that mean swimming trajectories were primarily horizontal concentric circles around the light source. Mean flow speeds found to be one order of magnitude lower than the corresponding swimming speeds of Daphnia. Furthermore, this study provided evidences that the flow fields produced by swarming Daphnia differed considerably between unidirectional vortex swarming and bidirectional swimming at low and high abundances respectively.
Agricultural land-use may lead to brief pulse exposures of pesticides in edge-of-field streams, potentially resulting in adverse effects on aquatic macrophytes, invertebrates and ecosystem functions. The higher tier risk assessment is mainly based on pond mesocosms which are not designed to mimic stream-typical conditions. Relatively little is known on exposure and effect assessment using stream mesocosms.
Thus the present thesis evaluates the appliacability of the stream mesocosms to mimic stream-typical pulse exposures, to assess resulting effects on flora and fauna and to evaluate aquatic-terrestrial food web coupling. The first objective was to mimic stream-typical pulse exposure scenarios with different durations (≤ 1 to ≥ 24 hours). These exposure scenarios established using a fluorescence tracer were the methodological basis for the effect assessment of an herbicide and an insecticide. In order to evaluate the applicability of stream mesocosms for regulatory purposes, the second objective was to assess effects on two aquatic macrophytes following a 24-h pulse exposure with the herbicide iofensulfuron-sodium (1, 3, 10 and 30 µg/L; n = 3). Growth inhibition of up to 66 and 45% was observed for the total shoot length of Myriophyllum spicatum and Elodea canadensis, respectively. Recovery of this endpoint could be demonstrated within 42 days for both macrophytes. The third objective was to assess effects on structural and functional endpoints following a 6-h pulse exposure of the pyrethroid ether etofenprox (0.05, 0.5 and 5 µg/L; n = 4). The most sensitive structural (abundance of Cloeon simile) and functional (feeding rates of Asellus aquaticus) endpoint revealed significant effects at 0.05 µg/L etofenprox. This concentration was below field-measured etofenprox concentrations and thus suggests that pulse exposures adversely affect invertebrate populations and ecosystem functions in streams. Such pollutions of streams may also result in decreased emergence of aquatic insects and potentially lead to an insect-mediated transfer of pollutants to adjacent food webs. Test systems capable to assess aquatic-terrestrial effects are not yet integrated in mesocosm approaches but might be of interest for substances with bioaccumulation potential. Here, the fourth part provides an aquatic-terrestrial model ecosystem capable to assess cross-ecosystem effects. Information on the riparian food web such as the contribution of aquatic (up to 71%) and terrestrial (up to 29%) insect prey to the diet of the riparian spider Tetragnatha extensa was assessed via stable isotope ratios (δ13C and δ15N). Thus, the present thesis provides the methodological basis to assess aquatic-terrestrial pollutant transfer and effects on the riparian food web.
Overall the results of this thesis indicate, that stream mesocosms can be used to mimic stream-typical pulse exposures of pesticides, to assess resulting effects on macrophytes and invertebrates within prospective environmental risk assessment (ERA) and to evaluate changes in riparian food webs.
In this work has been examined, how the existing model of the simulation of cables and hoses can be advanced. Therefore an investigation has been made on the main influences to the shape simulation and the factors of constraints and side conditions were analyzed. For the validation of the accuracy, the simulation has to be compared to real specimen behavior. To obtain a very precise digitalization of the shape, the choice was made to use a laser scanner that converts the pointcloud into a .vrml file which can be imported into the simulation environment. The assumption was that the simulation method itself has the highest impact to the simulated shape. This is why the capabilities of the most sophisticated methods have been analyzed. The main criterion for the success of a simulation approach proved not to be accuracy, as expected. Process integration and usability showed to be of higher interest for the efficient exertion. Other factors like the pricing, the functionality and the real-time capability were assayed as well. The analyzed methods are based on the solution of the equations of elasticity with different ways of discetization, finite-elements and a spring-impulse-system. Since the finite-element-system takes several minutes for the computation of the shape and the spring-impulse-system reacts retarded on user manipulation, the competitiveness of these approaches is low. The other methods distinguish more in real-time performance, data interfaces and functionality than in accuracy. For the accuracy of a system, the consideration of other factors proved to be very important. As one of these main factors, the accurate assignment of the material properties was indicated. Until the start of this work, only the finite-element-approach dealt with this factor, but no documentation or validation is provided. In the publications of the other methods, the material properties are estimated to obtain a plausible simulation shape. Therefore the specific material values of real specimen have been measured and assigned to the simulation. With the comparison to the real shape it has been proven that the accuracy is very high with the measured properties. Since these measurements are very costly and time consuming, an investigation on a faster and cheaper way to obtain these values has been made. It has been assumed that with the knowledge of the cross-section it should be possible to compute the specimen behavior. Since the braid distribution changes individually from specimen to specimen, a more general way to obtain the values needed to be found. The program composer has been developed, where only the number of the different braids and the taping is entered. It computes with very high precision the stiffness, the density and the final diameter of the bundle. With the measured values and the fitting to the real shape it has been proven that the simulation approach reflects the precise behavior of cables and hoses. Since the stiffness of the single braids is wasteful to measure, a measurement setup was created where the stiffness has a large impact to the shape. With known density, the stiffness of the specimen can be reconstructed precisely. Thus a fast and beneficial way of obtaining the stiffness of a cable has been invented. The poissons ratio of cables and bundles cannot be measured with a tensile test, since the inner structure is very complex. For hoses, the variation of the inner diameter has been measured during the tensile test as well. The resulting values were reasonable, but their accuracy could not be proven. For cables and hoses, it has been tried to obtain the poissons ratio via the computation of the cross section, but the influence of individual changes and the crosstalk of the braids is very high. Therefore a setup was constructed where the torsion stiffness can be measured. For cables and hoses, the individual cross-sections and taping lead to varying results. For hoses, expected and repeatable good values for the poissons ratio were obtained. The low influence of the poisons ratio in the range between 0 and 0.5 has been proven. Therefore we decided to follow the advice of [Old06] and our own experiences to set the poisons ratio for cables and bundles to 0.25. With the knowledge of the measurability and the capabilities of the developed program composer, a procedure to obtain material properties for bundles has been designed. 1. Measurement of the braid density with via pyknometer or mass, length and diameter. 2. Empirical reconstruction of the stiffness with the designed setup. 3. Composing the bundle with the program composer. 4. Adding a factor for the taping and transfer the values to the simulation. The model of the cable simulation has been improved as follows: The main influences in the simulation of cables and hoses are the simulation method, the material properties and the geometric constraints. To obtain higher accuracy, an investigation on the correct material properties is indispensable. The scientific determination of material properties for the simulation of cables, bundles and hoses has been performed for the first time. The influence of geometrical constraints has been analyzed and documented. The next steps are the analysis of pre-deformation and further investigations to the determination of the poisons ratio with a more precise torsion test. All analysis were made with the simulation approach fleXengine. A comparison to other simulation methods would be of high interest.
In der vorliegenden Untersuchung stehen geometrische Aufgaben und die in den seit 2004 national verbindlichen Bildungsstandards im Fach Mathematik für den Primarbereich formulierten Anforderungsbereiche im Zentrum. Diese zeigen die kognitiven Anforderungen an Schülerinnen und Schüler bei der Bearbeitung von Aufgaben auf, wobei zwischen „Reproduzieren", „Zusammenhänge herstellen" und „Verallgemeinern und Reflektieren" unterschieden wird (KMK, 2005a, S. 13).
Durch die drei Anforderungsbereiche sollen Lehrkräfte unter anderem die Chance zur Entwicklung einer anforderungsbezogenen Aufgabenkultur erhalten. Des Weiteren soll die Integration von Aufgaben aus allen drei Anforderungsbereichen im Unterricht angeregt und einem einseitig ausgerichteten Unterricht entgegen gewirkt werden.
Da die Anforderungsbereiche bislang nicht empirisch validiert wurden und in den Veröffentlichungen der Kultusministerkonferenz nicht klar zur Schwierigkeit von Aufgaben abgegrenzt werden (KMK, 2005a, S. 13; KMK, 2005b, S. 17; KMK, 2004b, S. 13), wurde in der vorliegenden Untersuchung zum einen die Möglichkeit der eindeutigen Zuordnung geometrischer Aufgaben zu den drei Anforderungsbereichen geprüft.
Zum anderen wurde untersucht, inwiefern die in den geometrischen Aufgaben enthaltenen kognitiven Anforderungen in Zusammenhang mit der empirischen Schwierigkeit von Aufgaben, der mathematischen Leistungsfähigkeit von Schülerinnen und Schülern, dem Geschlecht und den Anforderungen der im Unterricht gestellten Aufgaben stehen.
Vor dem Hintergrund der dem deutschen Mathematikunterricht nachgesagten Kalkül- beziehungsweise Fertigkeitsorientierung (Baumert et al., 2001, S. 296; Granzer & Walther, 2008, S. 9) und den damit einhergehenden Stärken deutscher Schülerinnen und Schüler im Bereich von Routineaufgaben und Schwächen im Bereich von Aufgaben mit höheren kognitiven Anforderungen (Grassmann et al., 2014, S. 11; Reiss & Hammer, 2013, S. 82; Schütte, 2008, S. 41) wurde zudem die Verteilung der im Rahmen der Untersuchung gewonnenen, schriftlich fixierten geometrischen Schulbuch- und Unterrichtsaufgaben auf die drei Anforderungsbereiche analysiert.
Durch die Betrachtung geometrischer Aufgaben konnte stichprobenartig der quantitative Geometrieanteil in den Schulbüchern und im Unterricht der vierten Jahrgangsstufe ermittelt werden, um so den Forschungsstand zum Stellenwert des Geometrieunterrichts (Maier, 1999; Backe-Neuwald, 2000; Roick, Gölitz & Hasselhorn, 2004) zu aktualisieren beziehungsweise zu ergänzen.
Will Eisners Graphic Novels zeugen von einer tiefgehenden Identitifation mit dem Judentum als Volkszugehörigkeit, Religion und Kultur und spiegeln das Judentum in all seinen Facetten wider. Dabei ist besonders hervorzuheben, dass die Entwicklung des Gesamtwerks parallel verläuft zur Geschichte der Emanzipation der jüdischen Bevölkerung in New York City. Der Band clustert die jüdischen Aspekte in Eisners Werk in beispielsweise Faktoren kollektiver Erinnerung, Umgang mit und Kampf gegen Antisemitismus und religiöse Besonderheiten.
Der Wettbewerb um die besten Technologien zur Realisierung des autonomen Fahrens ist weltweit in vollem Gange.
Trotz großer Anstrengungen ist jedoch die autonome Navigation in strukturierter und vor allem unstrukturierter Umgebung bisher nicht gelöst.
Ein entscheidender Baustein in diesem Themenkomplex ist die Umgebungswahrnehmung und Analyse durch passende Sensorik und entsprechende Sensordatenauswertung.
Insbesondere bildgebende Verfahren im Bereich des für den Menschen sichtbaren Spektrums finden sowohl in der Praxis als auch in der Forschung breite Anwendung.
Dadurch wird jedoch nur ein Bruchteil des elektromagnetischen Spektrums genutzt und folglich ein großer Teil der verfügbaren Informationen zur Umgebungswahrnehmung ignoriert.
Um das vorhandene Spektrum besser zu nutzen, werden in anderen Forschungsbereichen schon seit Jahrzehnten \sog spektrale Sensoren eingesetzt, welche das elektromagnetische Spektrum wesentlich feiner und in einem größeren Bereich im Vergleich zu klassischen Farbkameras analysieren. Jedoch können diese Systeme aufgrund technischer Limitationen nur statische Szenen aufnehmen. Neueste Entwicklungen der Sensortechnik ermöglichen nun dank der \sog Snapshot-Mosaik-Filter-Technik die spektrale Abtastung dynamischer Szenen.
In dieser Dissertation wird der Einsatz und die Eignung der Snapshot-Mosaik-Technik zur Umgebungswahrnehmung und Szenenanalyse im Bereich der autonomen Navigation in strukturierten und unstrukturierten Umgebungen untersucht. Dazu wird erforscht, ob die aufgenommen spektralen Daten einen Vorteil gegenüber klassischen RGB- \bzw Grauwertdaten hinsichtlich der semantischen Szenenanalyse und Klassifikation bieten.
Zunächst wird eine geeignete Vorverarbeitung entwickelt, welche aus den Rohdaten der Sensorik spektrale Werte berechnet. Anschließend wird der Aufbau von neuartigen Datensätzen mit spektralen Daten erläutert. Diese Datensätze dienen als Basis zur Evaluation von verschiedenen Klassifikatoren aus dem Bereich des klassischen maschinellen Lernens.
Darauf aufbauend werden Methoden und Architekturen aus dem Bereich des Deep-Learnings vorgestellt. Anhand ausgewählter Architekturen wird untersucht, ob diese auch mit spektralen Daten trainiert werden können. Weiterhin wird die Verwendung von Deep-Learning-Methoden zur Datenkompression thematisiert. In einem nächsten Schritt werden die komprimierten Daten genutzt, um damit Netzarchitekturen zu trainieren, welche bisher nur mit RGB-Daten kompatibel sind. Abschließend wird analysiert, ob die hochdimensionalen spektralen Daten bei der Szenenanalyse Vorteile gegenüber RGB-Daten bieten
Die Forschung im Bereich der modellbasierten Objekterkennung und Objektlokalisierung hat eine vielversprechende Zukunft, insbesondere die Gebäudeerkennung bietet vielfaltige Anwendungsmöglichkeiten. Die Bestimmung der Position und der Orientierung des Beobachters relativ zu einem Gebäude ist ein zentraler Bestandteil der Gebäudeerkennung.
Kern dieser Arbeit ist es, ein System zur modellbasierten Poseschätzung zu entwickeln, das unabhängig von der Anwendungsdomäne agiert. Als Anwendungsdomäne wird die modellbasierte Poseschätzung bei Gebäudeaufnahmen gewählt. Vorbereitend für die Poseschätzung bei Gebäudeaufnahmen wird die modellbasierte Erkennung von Dominosteinen und Pokerkarten realisiert. Eine anwendungsunabhängige Kontrollstrategie interpretiert anwendungsspezifische Modelle, um diese im Bild sowohl zu lokalisieren als auch die Pose mit Hilfe dieser Modelle zu bestimmen. Es wird explizit repräsentiertes Modellwissen verwendet, sodass Modellbestandteilen Bildmerkmale zugeordnet werden können. Diese Korrespondenzen ermöglichen die Kamerapose aus einer monokularen Aufnahme zurückzugewinnen. Das Verfahren ist unabhängig vom Anwendungsfall und kann auch mit Modellen anderer rigider Objekte umgehen, falls diese der definierten Modellrepräsentation entsprechen. Die Bestimmung der Pose eines Modells aus einem einzigen Bild, das Störungen und Verdeckungen aufweisen kann, erfordert einen systematischen Vergleich des Modells mit Bilddaten. Quantitative und qualitative Evaluationen belegen die Genauigkeit der bestimmten Gebäudeposen.
In dieser Arbeit wird zudem ein halbautomatisches Verfahren zur Generierung eines Gebäudemodells vorgestellt. Das verwendete Gebäudemodell, das sowohl semantisches als auch geometrisches Wissen beinhaltet, den Aufgaben der Objekterkennung und Poseschätzung genügt und sich dennoch an den bestehenden Normen orientiert, ist Voraussetzung für das Poseschätzverfahren. Leitgedanke der Repräsentationsform des Modells ist, dass sie für Menschen interpretierbar bleibt. Es wurde ein halbautomatischer Ansatz gewählt, da die automatische Umsetzung dieses Verfahrens schwer die nötige Präzision erzielen kann. Das entwickelte Verfahren erreicht zum einen die nötige Präzision zur Poseschätzung und reduziert zum anderen die Nutzerinteraktionen auf ein Minimum. Eine qualitative Evaluation belegt die erzielte Präzision bei der Generierung des Gebäudemodells.
There has been little research on out-of-school places of learning and their effec-tiveness in the context of ESD education measures. With the help of a multi-stage analysis, this study identifies out-of-school places of learning with reference to the ESD education concept in the Rhineland-Palatinate study area. To this end, qualita-tive literature analyses were first used to generate ESD criteria, which were opera-tionalised as a methodological instrument in the form of an ESD checklist for out-of-school places of learning. The data obtained in this way provide the basis for the creation of a geographically oriented learning location database with ESD refer-ence. A cartographic visualisation of the data results in a spatial distribution pattern: Thus, there are districts and cities that are well supplied with ESD learning loca-tions, but also real ESD learning location deserts where there is a need to catch up. Furthermore, there is an accumulation of ESD learning sites in areas close to for-ests.
A guideline-based explorative interview with two ESD experts provides additional insights into the question of how ESD has been implemented in the federal state of Rhineland-Palatinate, the extent to which there is a need for optimisation, and which continuing measures are being taken for ESD outside schools within the framework of Agenda 2030.
In addition, a quantitative questionnaire study was carried out with 1358 pupils at 30 out-of-school places of learning after participation in an educational measure, in which environmental awareness, attitudes towards environmental behaviour and local learning were also considered. By including non-ESD learning locations, a comparative study on the effectiveness of ESD learning locations became possible. The statistical data evaluation leads to a variety of interesting results. Contra-intuitively, for instance, the type of learning location (ESD or non-ESD learning lo-cation) is not a significant predictor for the environmental awareness and environ-mental behaviour of the surveyed students, whereas communication structures within educational measures at extracurricular learning locations, the multimediality and action orientation and the duration of educational measures have a significant influence.
Keywords: extracurricular learning locations, education for sustainable develop-ment (ESD), ESD criteria, learning location landscape Rhineland-Palatinate, ESD learning locations, environmental awareness, environmental behaviour.
This thesis addresses the automated identification and localization of a time-varying number of objects in a stream of sensor data. The problem is challenging due to its combinatorial nature: If the number of objects is unknown, the number of possible object trajectories grows exponentially with the number of observations. Random finite sets are a relatively new theory that has been developed to derive at principled and efficient approximations. It is based around set-valued random variables that contain an unknown number of elements which appear in arbitrary order and are themselves random. While extensively studied in theory, random finite sets have not yet become a leading paradigm in practical computer vision and robotics applications. This thesis explores random finite sets in visual tracking applications. The first method developed in this thesis combines set-valued recursive filtering with global optimization. The problem is approached in a min-cost flow network formulation, which has become a standard inference framework for multiple object tracking due to its efficiency and optimality. A main limitation of this formulation is a restriction to unary and pairwise cost terms. This circumstance makes integration of higher-order motion models challenging. The method developed in this thesis approaches this limitation by application of a Probability Hypothesis Density filter. The Probability Hypothesis Density filter was the first practically implemented state estimator based on random finite sets. It circumvents the combinatorial nature of data association itself by propagation of an object density measure that can be computed efficiently, without maintaining explicit trajectory hypotheses. In this work, the filter recursion is used to augment measurements with an additional hidden kinematic state to be used for construction of more informed flow network cost terms, e.g., based on linear motion models. The method is evaluated on public benchmarks where a considerate improvement is achieved compared to network flow formulations that are based on static features alone, such as distance between detections and appearance similarity. A second part of this thesis focuses on the related task of detecting and tracking a single robot operator in crowded environments. Different from the conventional multiple object tracking scenario, the tracked individual can leave the scene and later reappear after a longer period of absence. Therefore, a re-identification component is required that picks up the track on reentrance. Based on random finite sets, the Bernoulli filter is an optimal Bayes filter that provides a natural representation for this type of problem. In this work, it is shown how the Bernoulli filter can be combined with a Probability Hypothesis Density filter to track operator and non-operators simultaneously. The method is evaluated on a publicly available multiple object tracking dataset as well as on custom sequences that are specific to the targeted application. Experiments show reliable tracking in crowded scenes and robust re-identification after long term occlusion. Finally, a third part of this thesis focuses on appearance modeling as an essential aspect of any method that is applied to visual object tracking scenarios. Therefore, a feature representation that is robust to pose variations and changing lighting conditions is learned offline, before the actual tracking application. This thesis proposes a joint classification and metric learning objective where a deep convolutional neural network is trained to identify the individuals in the training set. At test time, the final classification layer can be stripped from the network and appearance similarity can be queried using cosine distance in representation space. This framework represents an alternative to direct metric learning objectives that have required sophisticated pair or triplet sampling strategies in the past. The method is evaluated on two large scale person re-identification datasets where competitive results are achieved overall. In particular, the proposed method better generalizes to the test set compared to a network trained with the well-established triplet loss.
Water is the basis of all life, a biotope for a variety of organisms and an important component of the
natural balance. For this reason, it is essential to protect water from contamination by anthropogenic
organic micropollutants (MPs) and to develop various innovative strategies for the treatment and reuse
of wastewater. Conventionally biologically treated municipal wastewater contains many organic MPs
that pose a potential threat to aquatic ecosystems and drinking water resources. To date, the focus has
been on physicochemical processes such as activated carbon treatment or ozonation to improve the
removal of MPs in wastewater treatment plants (WWTPs), while knowledge of biological removal
processes and ways to optimize the biological removal of organic MPs is comparatively limited.
Especially in arid and semi-arid regions, treated wastewater is also an important resource for wastewater
reuse for irrigation or drinking water treatment. In consequence of increasing droughts due to climate
change, the reuse of treated wastewater is also increasingly being discussed in Germany. Often the water
is reused after targeted groundwater recharge, while concepts for optimizing the removal of MPs during
soil passages are still scare. In order to assess the potential and limitations of biological wastewater
treatment as well as targeted groundwater recharge for the removal of organic MPs, a better knowledge
of the biological biotransformation processes and the environmental conditions influencing them is
required. Microbial communities and their enzyme pools play a key role in these processes. However,
the influence of environmental conditions on the composition and functional characteristics of microbial
communities, and how this in turn affects the biotransformation potential of MPs with different
structural characteristics, has been little studied. In addition, knowledge about MP-biotransforming
bacteria is often derived from enrichment or even pure culture studies, which are not directly transferable
to the environment.
Against this background, this dissertation focuses on the systematic investigation of the
biotransformation of MPs in contact with activated sludge (simulation of biotransformation processes
in biological treatment stages of WWTPs) and filter materials (simulation of processes in groundwater
recharge systems) under defined laboratory conditions. The aim is to elucidate relationships between
the composition and functional characteristics of microbial communities, microbiologically determined
biotransformation processes and their optimal process conditions, as well as the chemical structure and
primary enzymatically catalyzed biotransformation reactions of MPs.
The first part of the work focuses on the composition of microbial communities and the
biotransformation of MPs depending on defined process parameters in five differently operated
wastewater reactors, divided into two reactor cascades at pilot scale and one full-scale WWTP. The first
cascade consisted of three reactors, the first of which served as a reference reactor with conventional
activated sludge (CAS) treatment. The following reactors operate under anoxic to anaerobic and strictly
anaerobic conditions, respectively. The other cascade consists of two reactors, the first anaerobic and the second aerobic, followed by a simplified vessel to prevent nitrate output, as half of the effluent was
recirculated to the first anaerobic reactor. All five reactors and the WWTP were analyzed for the
biotransformation of 33 MPs and the composition of the microbial community by LC-MS/MS and 16S
rRNA gene sequencing, respectively. The results showed a slight but significant improvement in the
overall biotransformation of MPs in the reactor cascades (about 20%) compared to the WWTP. In
particular, the biotransformation of compounds that are not or only slightly degradable (< 30%) in
conventional wastewater treatment, such as diatrizoate, venlafaxine and diclofenac, was significantly
improved (about 70%). Twelve of the 33 MPs showed an increase in biotransformation of at least 30%
compared to the reference reactor and the WWTP. In detail, the reactor cascade consisting of the
anaerobic pre-treatment showed three times more MPs than the reactor cascade with the anaerobic post-
treatment. Although the environmental conditions (nutrient availability and redox conditions) differed
considerably between the reactors, molecular analysis of the microbial community revealed a core
community of 143 genera, with 54% of the taxa belonging to the phylum Proteobacteria, with the beta
subdivision as the most dominant class. On the other hand, a specialized community consisting of 90
genera was identified that contributed most to the differences between the reactor communities. These
genera were shown to reflect the prevailing nutrient, redox and operating conditions of each treatment.
It was also found that the relative abundances of several genera of the specialized community correlated
with the biotransformation of certain MPs as well as with process parameters (especially redox
conditions). These genera may not necessarily be directly involved in the biotransformation of MPs, but
could be promising biological indicators for the establishment and control of operating conditions
favorable to the biotransformation of certain MPs. For the two reactor cascades analyzed, it was
concluded that the redox conditions as well as the carbon supply were essential factors for the
composition of the specialized community and the biotransformation of the MPs. In addition, the 16S
rRNA gene amplicon sequencing proved to be a complementary tool to confirm process conditions by
correlation. In conclusion, the efficiency of MP biotransformation in conventional WWTPs depends on
key parameters such as redox conditions, biodiversity or the presence of several genera of specialized
microbial communities identified as indicator organisms.
Against the background of previous knowledge that biofilms from moving bed biofilm reactors
(MBBRs), which have been used so far in a few WWTPs, are more efficient in biotransforming certain
MPs, the second study used laboratory batch experiments to investigate the extent to which the
biotransformation potential of carrier-attached biofilms and suspended sludge from hybrid MBBRs
differ between three WWTPs, and whether these differences were also reflected in the composition of
the bacterial communities. The 31 MPs investigated were grouped according to their biotransformation
rates and examined for relationships between the biotransformation behavior and the known primary
biotransformation reactions are discernible. In general, the study confirmed the potential of hybrid
MBBRs for improved biotransformation of a variety of MPs. This could be attributed to an increased
biotransformation potential of the carrier-attached biofilms, especially for oxidatively degradable substances such as trimethoprim, diclofenac and mecoprop. Correlation analyses showed statistically
significant relationships between the occurrence of certain bacterial genera (e.g. Acidibacter, Nitrospira
or Rhizomicrobium) and the biotransformation rates of certain MPs. Thus, some of the identified genera
were also discussed as suitable indicators for the biotransformation potential of suspended sludge or
carrier-attached biofilm.
In the third part of the work, the biotransformation of up to 78 MPs was investigated under different
redox and substrate conditions in a defined column system at laboratory scale as well as ex situ under
uniform incubation conditions by incubating the column filter material in batch experiments. MPs were
categorized based on their biotransformation behavior and how well these categories matched primary
transformation reactions known from the literature or predicted using the Eawag pathway prediction
system for modelling microbial biotransformation pathways. The column system investigated consisted
of two large columns filled with technical sand, an intermediate aeration and four smaller columns, all
connected in series. In the first column, characterized by a carbon-rich environment with high biomass
and strong oxygen depletion, 23 MPs were efficiently removed (>80% removal), while 19 substances
were better or exclusively removed under carbon-limited oligotrophic conditions in the columns after
re-aeration. While the MPs removed predominantly in the first column were mostly attributed to
biotransformation by comparatively ubiquitous and fast transformation reactions such as the oxidation
of alcohols or amide hydrolysis, the biotransformation of MPs removed more efficiently under the oxic
and oligotrophic conditions in the rear columns was characterized by slower transformation reactions
such as N-dealkylation of primary and secondary amines or the hydroxylation of aromatic rings. In
addition, several specific reactions described in the literature, such as the cleavage of C-Cl and C-O
bonds, could only be identified under oligotrophic conditions. The results suggest that conditions of
limited carbon availability may favor the development of alternative metabolic biotransformation
pathways. Furthermore, the observed association between system-specific MP removal and the expected
primary biotransformation reactions from the literature and prediction systems could serve as a basis for
accurately identifying the relevant enzymes in future studies, using metagenomic or metatranscriptomic
data.
Based on these considerations, molecular biological investigations were carried out in the fourth part of
this work by generating sequence-based data complementary to the biotransformation rate constants
during the batch experiments carried out in the third study. A first aim was to identify a statistical relation
between the microbial composition, the process conditions and the nutrient availability as well as the
biotransformation potential of 42 MPs depending on the biomass in the columns of the system.
Furthermore, the metabolic activities of the microbial communities of the first two columns of the
system were analyzed and the identified active enzymes were assigned to known metabolic pathways
and the activities were compared. In addition, the extent to which the biotransformation potential of the
columns was also reflected in the activity of enzymes that have been proven to belong to biotransformation pathways of MPs was investigated. To this end, modern sequencing methods were
used to generate data on the composition of the microbial community (16S rRNA gene sequencing) and
its actual activity in the form of expressed genes (metatranscriptome sequencing). The biotransformation
rates from the batch experiments of the third study were used by normalizing them with the gene copy
numbers (kbio), which were representative of the biomass. For half of the MPs, the highest normalized
kbio values were identified in the rear columns with increased carbon-limiting conditions. Furthermore,
most of the MPs investigated, such as sulfathiazole, sulfamethoxazole or rufinamide, showed an
improved biotransformation potential in these columns. The higher biotransformation potential under
carbon-limiting conditions was also confirmed by metatranscriptomic analysis, where an increased
metabolic capability and a higher functional activity to degrade MPs were observed in the carbon-
limiting column compared to the first nutrient-rich column. Taxonomic analysis revealed a decreasing
trend in biodiversity with a simultaneous increase in carbon-limiting conditions. Furthermore, the
microbial community differed depending on the nutrient and process conditions of the column materials
analyzed. However, within the carbon-limiting columns, the microbial community was similar and were
dominated by the genus Pseudomonas. By relating the biotransformation of MPs to the relative
abundance of taxa in the carbon-limiting columns, the genera of the phylum Acidobacteria and the
classes Alpha- and Gammaproteobacteria showed particularly high associations. In addition, four genera
showed a statistically positive correlation with the two structurally similar MPs sulfamethoxazole and
sulfathiazole.
Overall, no general improvement in biotransformation could be found for all MPs under the conditions
considered, with system- and condition-specific changes observed for individual compounds. However,
the studies indicated favorable environmental conditions for groups of MPs that showed increased
biotransformation linked with high abundant taxa, especially under carbon-limiting conditions and in
carrier-attached biofilms.
In the last years the e-government concentrated on the administrative aspects of administrative modernisation. In the next step the e-discourses will gain in importance as an instrument of the public-friendliness and means of the e-democracy/e-participation. With growing acceptance of such e-discourses, these will fastly reach a complexity, which could not be mastered no more by the participants. Many impressions, which could be won from presence discussions, will be lacking now. Therefore the exposed thesis has the objective of the conception and the prototypical implementation of an instrument (discourse meter), by which the participants, in particular the moderators of the e-discourse, are capable to overlook the e-discourse at any time and by means of it, attain their discourse awareness. Discourse awareness of the present informs about the current action in the e-discourse and discourse awareness of the past about the past action, by which any trends become visible. The focus of the discourse awareness is located in the quantitative view of the action in the e-discourse. From the model of e-discourse, which is developed in this thesis, the questions of discourse awareness are resulting, whose concretion is the basis for the implementation of the discourse meter. The discourse sensors attached to the model of the e-discourse are recording the actions of the e-discourse, showing events of discourse, which are represented by the discourse meter in various forms of visualizations. The concept of discourse meter offers the possibility of discourse awareness relating to the present as monitoring and the discourse awareness relating to the past as query (quantitative analysis) to the moderators of the e-discourse.
Climate change is an existential threat to human survival, the social organization of society, and the stability of ecosystems. It is thereby profoundly frightening. In the face of threat, people often want to protect themselves instead of engaging in mitigating behaviors. When psychological resources are insufficient to cope, people often respond with different forms of denial. In this dissertation, I contribute original knowledge to the understanding of the multifaceted phenomenon of climate denial from a psychological perspective.
There are four major gaps in the literature on climate denial: First, the spectrum of climate denial as a self-protective response to the climate crisis has not received attention within psychology. Second, basic psychological need satisfaction, a fundamental indicator of human functioning and the ability to cope with threat, has not been investigated as a predictor of climate denial. Third, relations of the spectrum of climate denial to climate-relevant emotions, specifically climate anxiety, have not been examined empirically. Forth, it has not been investigated how the spectrum of climate denial relates to established predictors of climate denial, namely right-wing ideological convictions and male gender. To address those gaps, I investigate what the spectrum of climate denial looks like in the German context and how it relates to basic psychological need satisfaction and frustration, pro-environmental behavior, climate anxiety, ideological conviction, and gender.
Five manuscripts reveal that climate denial exists on a spectrum in the German context, ranging from the distortion of facts (interpretive climate denial, specifically denial of personal and global outcome severity) to the denial of the implications of climate change (implicatory climate denial, specifically avoidance, denial of guilt, and rationalization of one's own involvement). Across analyses, low basic psychological need satisfaction predicted the spectrum of climate denial, which was negatively related to pro-environmental behavior. Climate denial was generally negatively related to climate anxiety, except for a positive association of avoidance and climate anxiety. Right-wing ideological conviction was the strongest predictor of climate denial across the spectrum. However, low need satisfaction and male gender were additional weaker predictors of implicatory climate denial.
These findings suggest that the spectrum of climate denial serves many psychological functions. Climate denial is possibly both a self-protective strategy to downregulate emotions and to protect oneself from loss of privilege. In short, it represents a barrier to climate action that may only be resolved once people have sufficient psychological resources to face the threat of climate change and cope with their underlying self-protective, emotional responses.