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In the debate on how to govern sustainable development, a central question concerns the interaction between knowledge about sustainability and policy developments. The discourse on what constitutes sustainable development conflict on some of the most basic issues, including the proper definitions, instruments and indicators of what should be ‘developed’ or ‘sustained’. Whereas earlier research on the role of (scientific) knowledge in policy adopted a rationalist-positivist view of knowledge as the basis for ‘evidence-based policy making’, recent literature on knowledge creation and transfer processes has instead pointed towards aspects of knowledge-policy ‘co-production’ (Jasanoff 2004). It is highlighted that knowledge utilisation is not just a matter of the quality of the knowledge as such, but a question of which knowledge fits with the institutional context and dominant power structures. Just as knowledge supports and justifies certain policy, policy can produce and stabilise certain knowledge. Moreover, rather than viewing knowledge-policy interaction as a linear and uni-directional model, this conceptualization is based on an assumption of the policy process as being more anarchic and unpredictable, something Cohen, March and Olsen (1972) has famously termed the ‘garbage-can model’.
The present dissertation focuses on the interplay between knowledge and policy in sustainability governance. It takes stock with the practice of ‘Management by Objectives and Results’ (MBOR: Lundqvist 2004) whereby policy actors define sustainable development goals (based on certain knowledge) and are expected to let these definitions guide policy developments as well as evaluate whether sustainability improves or not. As such a knowledge-policy instrument, Sustainability Indicators (SI:s) help both (subjectively) construct ‘social meaning’ about sustainability and (objectively) influence policy and measure its success. The different articles in this cumulative dissertation analyse the development, implementation and policy support (personal and institutional) of Sustainability Indicators as an instrument for MBOR in a variety of settings. More specifically, the articles centre on the question of how sustainability definitions and measurement tools on the one hand (knowledge) and policy instruments and political power structures on the other, are co-produced.
A first article examines the normative foundations of popular international SI:s and country rankings. Combining theoretical (constructivist) analysis with factor analysis, it analyses how the input variable structure of SI:s are related to different sustainability paradigms, producing a different output in terms of which countries (developed versus developing) are most highly ranked. Such a theoretical input-output analysis points towards a potential problem of SI:s becoming a sort of ‘circular argumentation constructs’. The article thus, highlights on a quantitative basis what others have noted qualitatively – that different definitions and interpretations of sustainability influence indicator output to the point of contradiction. The normative aspects of SI:s does thereby not merely concern the question of which indicators to use for what purposes, but also the more fundamental question of how normative and political bias are intrinsically a part of the measurement instrument as such. The study argues that, although no indicator can be expected to tell the sustainability ‘truth-out-there’, a theoretical localization of indicators – and of the input variable structure – may help facilitate interpretation of SI output and the choice of which indicators to use for what (policy or academic) purpose.
A second article examines the co-production of knowledge and policy in German sustainability governance. It focuses on the German sustainability strategy ‘Perspektiven für Deutschland’ (2002), a strategy that stands out both in an international comparison of national sustainability strategies as well as among German government policy strategies because of its relative stability over five consecutive government constellations, its rather high status and increasingly coercive nature. The study analyses what impact the sustainability strategy has had on the policy process between 2002 and 2015, in terms of defining problems and shaping policy processes. Contrasting rationalist and constructivist perspectives on the role of knowledge in policy, two factors, namely the level of (scientific and political) consensus about policy goals and the ‘contextual fit’ of problem definitions, are found to be main factors explaining how different aspects of the strategy is used. Moreover, the study argues that SI:s are part of a continuous process of ‘structuring’ in which indicator, user and context factors together help structure the sustainability challenge in such a way that it becomes more manageable for government policy.
A third article examines how 31 European countries have built supportive institutions of MBOR between 1992 and 2012. In particular during the 1990s and early 2000s much hope was put into the institutionalisation of Environmental Policy Integration (EPI) as a way to overcome sectoral thinking in sustainability policy making and integrate issues of environmental sustainability into all government policy. However, despite high political backing (FN, EU, OECD), implementation of EPI seems to differ widely among countries. The study is a quantitative longitudinal cross-country comparison of how countries’ ‘EPI architectures’ have developed over time. Moreover, it asks which ‘EPI architectures’ seem to be more effective in producing more ‘stringent’ sustainability policy.
This thesis is focused on the study and the exact simulation of two classes of real-valued Brownian diffusions: multi-skew Brownian motions with constant drift and Brownian diffusions whose drift admits a finite number of jumps.
The skew Brownian motion was introduced in the sixties by Itô and McKean, who constructed it from the reflected Brownian motion, flipping its excursions from the origin with a given probability. Such a process behaves as the original one except at the point 0, which plays the role of a semipermeable barrier. More generally, a skew diffusion with several semipermeable barriers, called multi-skew diffusion, is a diffusion everywhere except when it reaches one of the barriers, where it is partially reflected with a probability depending on that particular barrier. Clearly, a multi-skew diffusion can be characterized either as solution of a stochastic differential equation involving weighted local times (these terms providing the semi-permeability) or by its infinitesimal generator as Markov process.
In this thesis we first obtain a contour integral representation for the transition semigroup of the multiskew Brownian motion with constant drift, based on a fine analysis of its complex properties. Thanks to this representation we write explicitly the transition densities of the two-skew Brownian motion with constant drift as an infinite series involving, in particular, Gaussian functions and their tails.
Then we propose a new useful application of a generalization of the known rejection sampling method. Recall that this basic algorithm allows to sample from a density as soon as one finds an - easy to sample - instrumental density verifying that the ratio between the goal and the instrumental densities is a bounded function. The generalized rejection sampling method allows to sample exactly from densities for which indeed only an approximation is known. The originality of the algorithm lies in the fact that one finally samples directly from the law without any approximation, except the machine's.
As an application, we sample from the transition density of the two-skew Brownian motion with or without constant drift. The instrumental density is the transition density of the Brownian motion with constant drift, and we provide an useful uniform bound for the ratio of the densities. We also present numerical simulations to study the efficiency of the algorithm.
The second aim of this thesis is to develop an exact simulation algorithm for a Brownian diffusion whose drift admits several jumps. In the literature, so far only the case of a continuous drift (resp. of a drift with one finite jump) was treated. The theoretical method we give allows to deal with any finite number of discontinuities. Then we focus on the case of two jumps, using the transition densities of the two-skew Brownian motion obtained before. Various examples are presented and the efficiency of our approach is discussed.
Understanding the role of natural climate variability under the pressure of human induced changes of climate and landscapes, is crucial to improve future projections and adaption strategies. This doctoral thesis aims to reconstruct Holocene climate and environmental changes in NE Germany based on annually laminated lake sediments. The work contributes to the ICLEA project (Integrated CLimate and Landscape Evolution Analyses). ICLEA intends to compare multiple high-resolution proxy records with independent chronologies from the N central European lowlands, in order to disentangle the impact of climate change and human land use on landscape development during the Lateglacial and Holocene. In this respect, two study sites in NE Germany are investigated in this doctoral project, Lake Tiefer See and palaeolake Wukenfurche. While both sediment records are studied with a combination of high-resolution sediment microfacies and geochemical analyses (e.g. µ-XRF, carbon geochemistry and stable isotopes), detailed proxy understanding mainly focused on the continuous 7.7 m long sediment core from Lake Tiefer See covering the last ~6000 years. Three main objectives are pursued at Lake Tiefer See: (1) to perform a reliable and independent chronology, (2) to establish microfacies and geochemical proxies as indicators for climate and environmental changes, and (3) to trace the effects of climate variability and human activity on sediment deposition.
Addressing the first aim, a reliable chronology of Lake Tiefer See is compiled by using a multiple-dating concept. Varve counting and tephra findings form the chronological framework for the last ~6000 years. The good agreement with independent radiocarbon dates of terrestrial plant remains verifies the robustness of the age model. The resulting reliable and independent chronology of Lake Tiefer See and, additionally, the identification of nine tephras provide a valuable base for detailed comparison and synchronization of the Lake Tiefer See data set with other climate records. The sediment profile of Lake Tiefer See exhibits striking alternations between well-varved and non-varved sediment intervals. The combination of microfacies, geochemical and microfossil (i.e. Cladocera and diatom) analyses indicates that these changes of varve preservation are caused by variations of lake circulation in Lake Tiefer See. An exception is the well-varved sediment deposited since AD 1924, which is mainly influenced by human-induced lake eutrophication. Well-varved intervals before the 20th century are considered to reflect phases of reduced lake circulation and, consequently, stronger anoxic conditions. Instead, non-varved intervals indicate increased lake circulation in Lake Tiefer See, leading to more oxygenated conditions at the lake ground. Furthermore, lake circulation is not only influencing sediment deposition, but also geochemical processes in the lake. As, for example, the proxy meaning of δ13COM varies in time in response to changes of the oxygen regime in the lake hypolinion. During reduced lake circulation and stronger anoxic conditions δ13COM is influenced by microbial carbon cycling. In contrast, organic matter degradation controls δ13COM during phases of intensified lake circulation and more oxygenated conditions. The varve preservation indicates an increasing trend of lake circulation at Lake Tiefer See after ~4000 cal a BP. This trend is superimposed by decadal to centennial scale variability of lake circulation intensity. Comparison to other records in Central Europe suggests that the long-term trend is probably related to gradual changes in Northern Hemisphere orbital forcing, which induced colder and windier conditions in Central Europe and, therefore, reinforced lake circulation. Decadal to centennial scale periods of increased lake circulation coincide with settlement phases at Lake Tiefer See, as inferred from pollen data of the same sediment record. Deforestation reduced the wind shelter of the lake, which probably increased the sensitivity of lake circulation to wind stress. However, results of this thesis also suggest that several of these phases of increased lake circulation are additionally reinforced by climate changes. A first indication is provided by the comparison to the Baltic Sea record, which shows striking correspondence between major non-varved intervals at Lake Tiefer See and bioturbated sediments in the Baltic Sea. Furthermore, a preliminary comparison to the ICLEA study site Lake Czechowskie (N central Poland) shows a coincidence of at least three phases of increased lake circulation in both lakes, which concur with periods of known climate changes (2.8 ka event, ’Migration Period’ and ’Little Ice Age’). These results suggest an additional over-regional climate forcing also on short term increased of lake circulation in Lake Tiefer See.
In summary, the results of this thesis suggest that lake circulation at Lake Tiefer See is driven by a combination of long-term and short-term climate changes as well as of anthropogenic deforestation phases. Furthermore, the lake circulation drives geochemical cycles in the lake affecting the meaning of proxy data. Therefore, the work presented here expands the knowledge of climate and environmental variability in NE Germany. Furthermore, the integration of the Lake Tiefer See multi-proxy record in a regional comparison with another ICLEA side, Lake Czechowskie, enabled to better decipher climate changes and human impact on the lake system. These first results suggest a huge potential for further detailed regional comparisons to better understand palaeoclimate dynamics in N central Europe.
Services that operate over the Internet are under constant threat of being exposed to fraudulent use. Maintaining good user experience for legitimate users often requires the classification of entities as malicious or legitimate in order to initiate countermeasures. As an example, inbound email spam filters decide for spam or non-spam. They can base their decision on both the content of each email as well as on features that summarize prior emails received from the sending server. In general, discriminative classification methods learn to distinguish positive from negative entities. Each decision for a label may be based on features of the entity and related entities. When labels of related entities have strong interdependencies---as can be assumed e.g. for emails being delivered by the same user---classification decisions should not be made independently and dependencies should be modeled in the decision function. This thesis addresses the formulation of discriminative classification problems that are tailored for the specific demands of the following three Internet security applications. Theoretical and algorithmic solutions are devised to protect an email service against flooding of user inboxes, to mitigate abusive usage of outbound email servers, and to protect web servers against distributed denial of service attacks.
In the application of filtering an inbound email stream for unsolicited emails, utilizing features that go beyond each individual email's content can be valuable. Information about each sending mail server can be aggregated over time and may help in identifying unwanted emails. However, while this information will be available to the deployed email filter, some parts of the training data that are compiled by third party providers may not contain this information. The missing features have to be estimated at training time in order to learn a classification model. In this thesis an algorithm is derived that learns a decision function that integrates over a distribution of values for each missing entry. The distribution of missing values is a free parameter that is optimized to learn an optimal decision function.
The outbound stream of emails of an email service provider can be separated by the customer IDs that ask for delivery. All emails that are sent by the same ID in the same period of time are related, both in content and in label. Hijacked customer accounts may send batches of unsolicited emails to other email providers, which in turn might blacklist the sender's email servers after detection of incoming spam emails. The risk of being blocked from further delivery depends on the rate of outgoing unwanted emails and the duration of high spam sending rates. An optimization problem is developed that minimizes the expected cost for the email provider by learning a decision function that assigns a limit on the sending rate to customers based on the each customer's email stream.
Identifying attacking IPs during HTTP-level DDoS attacks allows to block those IPs from further accessing the web servers. DDoS attacks are usually carried out by infected clients that are members of the same botnet and show similar traffic patterns. HTTP-level attacks aim at exhausting one or more resources of the web server infrastructure, such as CPU time. If the joint set of attackers cannot increase resource usage close to the maximum capacity, no effect will be experienced by legitimate users of hosted web sites. However, if the additional load raises the computational burden towards the critical range, user experience will degrade until service may be unavailable altogether. As the loss of missing one attacker depends on block decisions for other attackers---if most other attackers are detected, not blocking one client will likely not be harmful---a structured output model has to be learned. In this thesis an algorithm is developed that learns a structured prediction decoder that searches the space of label assignments, guided by a policy.
Each model is evaluated on real-world data and is compared to reference methods. The results show that modeling each classification problem according to the specific demands of the task improves performance over solutions that do not consider the constraints inherent to an application.
Der Klimawandel
(2016)
Was ist Gerechtigkeit? Wie könnten gerechte Regelungen aussehen für die Katastrophen und Leiden, die der Klimawandel auslöst bzw. auslösen wird? Diese sind häufig ungerecht, weil sie oft deutlich stärker diejenigen treffen, die am wenigsten zur Klimaveränderung beigetragen haben.
Doch was genau verstehen wir unter dem Schlagwort: ‚Klimawandel‘? Und kann dieser wirklich den Menschen direkt treffen? Ein kurzer naturwissenschaftlicher Abriss klärt hier die wichtigsten Fragen.
Da es sich hierbei um eine philosophische Arbeit handelt, muss zunächst geklärt werden, ob der Mensch überhaupt die Ursache von so etwas sein kann wie z.B. der Klimaerwärmung. Robert Spaemanns These dazu ist, dass der Mensch durch seinen freien Willen mit seinen Einzelhandlungen das Weltgeschehen verändern kann. Hans Jonas fügt dem hinzu, dass wir durch diese Fähigkeit, verantwortlich sind für die gewollten und ungewollten Folgen unserer Handlungen.
Damit wäre aus naturwissenschaftlicher Sicht (1. Teil der Arbeit) und aus philosophischer Sicht (Anfang 2. Teil) geklärt, dass der Mensch mit größter Wahrscheinlichkeit die Ursache des Klimawandels ist und diese Verursachung moralische Konsequenzen für ihn hat.
Ein philosophischer Gerechtigkeitsbegriff wird aus der Kantischen Rechts- und Moralphilosophie entwickelt, weil diese die einzige ist, die dem Menschen überhaupt ein Recht auf Rechte zusprechen kann. Diese entspringt der transzendentalen Freiheitsfähigkeit des Menschen, weshalb jedem das Recht auf Rechte absolut und immer zukommt. Gleichzeitig mündet Kants Philosophie wiederum in dem Freiheitsgedanken, indem Gerechtigkeit nur existiert, wenn alle Menschen gleichermaßen frei sein können.
Was heißt das konkret? Wie könnte Gerechtigkeit in der Realität wirklich umgesetzt werden? Die Realisierung schlägt zwei Grundrichtungen ein. John Rawls und Stefan Gosepath beschäftigen sich u.a. eingehend mit der prozeduralen Gerechtigkeit, was bedeutet, dass gerechte Verfahren gefunden werden, die das gesellschaftliche Zusammenleben regeln. Das leitende Prinzip hierfür ist vor allem: ein Mitbestimmungsrecht aller, so dass sich im Prinzip alle Bürger ihre Gesetze selbst geben und damit frei handeln.
In Bezug auf den Klimawandel steht die zweite Ausrichtung im Vordergrund – die distributive oder auch Verteilungs-Gerechtigkeit. Materielle Güter müssen so aufgeteilt werden, dass auch trotz empirischer Unterschiede alle Menschen als moralische Subjekte anerkannt werden und frei sein können.
Doch sind diese philosophischen Schlussfolgerungen nicht viel zu abstrakt, um auf ein ebenso schwer fassbares und globales Problem wie den Klimawandel angewendet zu werden? Was könnte daher eine Klimagerechtigkeit sein?
Es gibt viele Gerechtigkeitsprinzipien, die vorgeben, eine gerechte Grundlage für die Klimaprobleme zu bieten wie z.B. das Verursacherprinzip, das Fähigkeitsprinzip oder das Grandfathering-Prinzip, bei dem die Hauptverursacher nach wie vor am meisten emittieren dürfen (dieses Prinzip leitete die bisherigen internationalen Verhandlungen).
Das Ziel dieser Arbeit ist, herauszufinden, wie die Klimaprobleme gelöst werden können, so dass für alle Menschen unter allen Umständen die universellen Menschenrechte her- und sichergestellt werden und diese frei und moralisch handeln können.
Die Schlussfolgerung dieser Arbeit ist, dass Kants Gerechtigkeitsbegriff durch eine Kombination des Subsistenzemissions-Rechts, des Greenhouse-Development-Rights-Principles (GDR-Prinzip) und einer internationalen Staatlichkeit durchgesetzt werden könnte.
Durch das Subsistenzemissions-Recht hat jeder Mensch das Recht, so viel Energie zu verbrauchen und damit zusammenhängende Emissionen zu produzieren, dass er ein menschenwürdiges Leben führen kann. Das GDR-Prinzip errechnet den Anteil an der weltweiten Gesamtverantwortung zum Klimaschutz eines jeden Landes oder sogar eines jeden Weltbürgers, indem es die historischen Emissionen (Klimaschuld) zu der jetzigen finanziellen Kapazität des Landes/ des Individuums (Verantwortungsfähigkeit) hinzuaddiert. Die Implementierung von internationalen Gremien wird verteidigt, weil es ein globales, grenzüberschreitendes Problem ist, dessen Effekte und dessen Verantwortung globale Ausmaße haben.
Ein schlagendes Argument für fast alle Klimaschutzmaßnahmen ist, dass sie Synergien aufweisen zu anderen gesellschaftlichen Bereichen aufweisen wie z.B. Gesundheit und Armutsbekämpfung, in denen auch noch um die Durchsetzung unserer Menschenrechte gerungen wird.
Ist dieser Lösungsansatz nicht völlig utopisch?
Dieser Vorschlag stellt für die internationale Gemeinschaft eine große Herausforderung dar, wäre jedoch die einzig gerechte Lösung unserer Klimaprobleme. Des Weiteren wird an dem Kantischen Handlungsgrundsatz festgehalten, dass das ewige Streben auf ideale Ziele hin, die beste Verwirklichung dieser durch menschliche, fehlbare Wesen ist.
Protektiver Effekt von 6-Shogaol, Ellagsäure und Myrrhe auf die intestinale epitheliale Barriere
(2016)
Viele bioaktive Pflanzeninhaltsstoffe bzw. Pflanzenmetabolite besitzen antiinflammatorische Eigenschaften. Diese versprechen ein hohes Potential für den Einsatz in der Phytotherapie bzw. Prävention von chronisch-entzündlichen Darmerkrankungen (CED). Eine intestinale Barrieredysfunktion ist ein typisches Charakteristikum von CED Patienten, die dadurch an akuter Diarrhoe leiden.
In dieser Arbeit werden die Pflanzenkomponenten 6-Shogaol, Ellagsäure und Myrrhe an den intestinalen Kolonepithelzellmodellen HT-29/B6 und Caco-2 auf ihr Potential hin, die intestinale Barriere zu stärken bzw. eine Barrieredysfunktion zu verhindern, untersucht. Hauptschwerpunkt der Analysen ist die parazelluläre Barrierefunktion und die Regulation der dafür entscheidenden Proteinfamilie der Tight Junctions (TJs), der Claudine.
Die Barrierefunktion wird durch Messung des transepithelialen Widerstands (TER) und der Fluxmessung in der Ussing-Kammer bestimmt. Dazu werden die HT-29/B6- und Caco-2-Monolayer mit den Pflanzenkomponenten (6-Shogaol, Ellagsäure, Myrrhe), dem proinflammatorischen Zytokin TNF-α oder der Kombination von beiden Subsztanzen für 24 oder 48 h behandelt. Außerdem wurden zur weiteren Charakterisierung die Expression sowie die Lokalisation der für die parazelluläre Barriere relevanten Claudine, die TJ-Ultrastruktur und verschiedene Signalwege analysiert.
In Caco-2-Monolayern führten Ellagsäure und Myrrhe, nicht aber 6-Shogaol, allein zu einem TER-Anstieg bedingt durch eine verringerte Permeabilität für Natriumionen. Myrrhe verminderte die Expression des Kationenkanal-bildenden TJ-Proteins Claudin-2 über die Inhibierung des PI3K/Akt-Signalweges, während Ellagsäure die Expression der TJ-Proteine Claudin-4 und -7 reduzierte. Alle Pflanzenkomponenten schützten in den Caco-2-Zellen vor einer TNF-α-induzierten Barrieredysfunktion.
An den HT-29/B6-Monolayern änderte keine der Pflanzenkomponenten allein die Barrierefunktion. Die HT-29/B6-Zellen reagierten auf TNF-α mit einer deutlichen Verminderung des TER und einer erhöhten Fluoreszein-Permeabilität. Die TER-Abnahme war durch eine PI3K/Akt-vermittelte gesteigerte Claudin-2-Expression sowie eine NFκB-vermittelte Umverteilung des abdichtenden TJ-Proteins Claudin-1 gekennzeichnet. 6-Shogaol konnte den TER-Abfall partiell hemmen sowie die PI3K/Akt-induzierte Claudin-2-Expression und die NFκB-bedingte Claudin-1-Umverteilung verhindern. Ebenso inhibierte Myrrhe, nicht aber Ellagsäure, den TNF-α-induzierten TER-Abfall. Dabei konnte Myrrhe zwar den Claudin-2-Expressionsanstieg und die Claudin-1-Umverteilung unterbinden, jedoch weder die NFκB- noch die PI3K/Akt-Aktivierung hemmen. Diese Arbeit zeigt, dass auch STAT6 an dem Claudin-2-Expressionsanstieg durch
TNF-α in HT-29/B6-Zellen beteiligt ist. So wurde durch Myrrhe die TNF-α-induzierte Phosphorylierung von STAT6 und die erhöhte Claudin-2-Expression inhibiert.
Die Ergebnisse deuten darauf hin, dass die Pflanzenkomponenten 6-Shogaol, Ellagsäure und Myrrhe mit unterschiedlichen Mechanismen stärkend auf die Barriere einwirken. Zur Behandlung von intestinalen Erkrankungen mit Barrieredysfunktion könnten daher Kombinationspräparate aus verschiedenen Pflanzen effektiver sein als Monopräparate.
In this Thesis, the properties of aqueous hemicellulose polysaccharides are investigated using computer simulations. The high swelling capacity of materials composed of these molecules allows the generation of directed motion in plant materials entirely controlled by water uptake.
To explore the molecular origin of this swelling capacity, a computational model with atomistic resolution for hemicellulose polysaccharides is build and validated in comparison with experiments. Using this model, simulations of small polysaccharides are employed to gain an understanding of the interactions of these molecules with water, the influence of water on their conformational freedom, and the swelling capacity quantified in terms of osmotic pressure. It is revealed that the branched hemicellulose polysaccharides show different hydration characteristics compared to linear polysaccharides.
To study swelling properties on length and time scales that exceed the limitations imposed by atomistic simulations, a procedure to obtain transferable coarse-grain models is developed. The transferability of the coarse-grain models over both different degrees of polymerization as well as different solute concentrations is demonstrated. Therefore, the procedure allows the construction of large coarse-grained systems based on small atomistic reference systems. Finally, the coarse-grain model is applied to demonstrate that linear and branched polysaccharides show a different swelling behavior when coupled to a water bath.
Gene expression describes the process of making functional gene products (e.g. proteins or special RNAs) from instructions encoded in the genetic information (e.g. DNA). This process is heavily regulated, allowing cells to produce the appropriate gene products necessary for cell survival, adapting production as necessary for different cell environments. Gene expression is subject to regulation at several levels, including transcription, mRNA degradation, translation and protein degradation. When intact, this system maintains cell homeostasis, keeping the cell alive and adaptable to different environments. Malfunction in the system can result in disease states and cell death. In this dissertation, we explore several aspects of gene expression control by analyzing data from biological experiments. Most of the work following uses a common mathematical model framework based on Markov chain models to test hypotheses, predict system dynamics or elucidate network topology. Our work lies in the intersection between mathematics and biology and showcases the power of statistical data analysis and math modeling for validation and discovery of biological phenomena.
Das Ziel der Doktorarbeit war die Entwicklung und Evaluation eines skillsbasierten primären Präventionsprogramms (Mainzer Schultraining zur Essstörungsprävention (MaiStep)) für partielle und manifeste Essstörungen. Dabei wurde die Wirksamkeit durch einen primären (Reduktion vorhandener Essstörungssymptome) und sekundären (assoziierte Psychopathologie) Zielparameter 3 und 12 Monate nach Durchführung des Trainings überprüft. Innerhalb der randomisiert kontrollierten Studie gab es zwei Interventionsgruppe und eine aktive Kontrollgruppe. 1.654 Jugendliche (weiblich/männlich: 781/873; mittleres Alter: 13.1±0.7; BMI: 20.0±3.5) konnten für die Studie, an zufällig ausgewählten Schulen in Rheinland-Pfalz, rekrutiert werden. Die Entwicklung des Präventionsprogramms basiert auf einem systematischen Literaturreview von 63 wissenschaftlichen Studien über die Prävention von Essstörungen im Kindes- und Jugendalter. Eine Interventionsgruppe wurde durch Psychologinnen/Psychologen und eine zweite durch Lehrkräfte angeleitet. Das in der aktiven Kontrollgruppe durchgeführte Sucht- bzw. Stresspräventionsprogramm wurde durch Lehrkräfte geleitet. MaiStep zeigte zur 3-Monatskatamnese keine signifikanten Effekte im Vergleich zur aktiven Kontrollgruppe. Allerdings zeigten sich nach 12 Monaten multiple signifikante Effekte zwischen den Interventions- und der aktiven Kontrollgruppe. Im Rahmen der Analyse des primären Parameters wurden in den Interventionsgruppen signifikant weniger Jugendliche mit einer partiellen Anorexia nervosa (CHI²(2) = 8.74, p = .01**) und/oder partiellen Bulimia nervosa (CHI²(2) = 7.25, p = .02*) gefunden. Im Rahmen der sekundären Zielparameter zeigten sich signifikante Veränderungen in Subskalen des Eating Disorder Inventory (EDI-2) Schlankheitsstreben (F (2, 355) = 3.94, p = .02*) und Perfektionismus (F (2, 355) = 4.19, p = .01**) sowie dem Body Image Avoidance Questionnaire (BIAQ) (F (2, 525) = 18.79, p = .01**) zwischen den Interventions- und der aktiven Kontrollgruppe. MaiStep kann somit als erfolgreiches Programm zur Reduktion von partiellen Essstörungen für die Altersgruppe der 13- 15-jährigen bezeichnet werden. Trotz unterschiedlicher Wirkmechanismen zeigten sich die Lehrkräfte im Vergleich zu den Psychologinnen/Psychologen ebenso erfolgreich in der Durchführung.
Trial registration MaiStep is registered at the German Clinical Trials Register (DRKS00005050).
Was und von wem wurde mit wissenschaftlichem Anspruch während des ersten Drittels des 20. Jahrhunderts über Antisemitismus in Deutschland gearbeitet und geschrieben? Welche Ansätze bot die frühe Antisemitismusforschung? Das sind die Leitfragen dieser Studie, die ein Stück Kulturund Wissenschaftsgeschichte zugleich bietet. Darüber hinaus schlägt das Buch einen Bogen zur Geschichte des Abwehrkampfs gegen den Antisemitismus bis 1933. Das Fazit: Bereits in der Weimarer Republik existierte ein tiefergehendes Wissen über den Antisemitismus, das jedoch für den Abwehrkampf gegen antisemitische und völkische Bewegungen wenig Perspektiven bieten konnte.