Im Kontext chronischer Schmerzerkrankungen sind neben dem physischem Schmerzerleben auch Emotionen, wie Depressivität, Angst, Scham und Ärger von großer Relevanz. So leiden beispielsweise ca. 70 % der Menschen mit chronischen Schmerzen unter wiederkehrendem Ärger. Die Forschung zu spezifischen emotionsfokussierten psychologischen Behandlungsansätzen ist jedoch begrenzt. Eine Möglichkeit der Behandlung könnten sogenannte mitgefühlsbasierte Ansätze darstellen. So ist Selbstmitgefühl bei chronischem Schmerz beispielsweise assoziiert mit einer geringeren Schmerzintensität sowie geringerer physischer und emotionaler Beeinträchtigung, wie Depressivität, Angst und Ärger. In der vorliegenden Dissertation wurde die Relevanz von Selbstmitgefühl im Kontext von akutem und chronischem Schmerz unter der besonderen Berücksichtigung von Ärger evaluiert. Zunächst wuden in einem Überblicksartikel Interventionsstudien (N = 19) zu Behandlungsansätzen von chronischen Schmerzen zusammengefasst, welche Veränderungen in Ärger oder verwandten Aspekten berichteten (Studie 1). Nur zwei der eingeschlossenen Studien untersuchten spezifische Interventionen zur Bewältigung von Ärger. Insgesamt wiesen die Studien große Unterschiede hinsichtlich der Qualität, Stichprobe, Intervention (Art, Dauer, Setting) wie auch der Messinstrumente für Ärger auf. Die vielversprechendsten Ergebnisse zeigten sich für akzeptanz- und mitgefühlsbasierte Ansätze. Als mögliche Fundierung zukünftiger Forschung wurde zudem das „Prozess Modell der Ärger-Regulation bei chronischem Schmerz“ vorgeschlagen und diskutiert. Da sich mitgefühlsbasierte Ansätze als potentiell wirksam zur Bewältigung von Ärger erwiesen, wurde die Relevanz von Selbstmitgefühl im Kontext von chronischem Schmerz anhand einer kontrollierten Längsschnittstudie (t1: NT1 = 1228; t2: NT2 = 376) evaluiert (Studie 2 & 3). In Studie 2 wurde Selbstmitgefühl anhand der zwei Faktoren „compassionate self-responding (CS)“ und „reduced uncompassionate self-responding (RUS)“ definiert. Hierbei erwies sich CS als distinktes Konstrukt im Vergleich zu Psychologischer Inflexibilität und Selbstwert. RUS und Selbstwert schienen das gleiche latente Konstrukt zu repräsentieren. Die Relevanz dieser Konzepte für schmerzbezogene Konzepte, wie auch Depressivität und Ärger wurde in Studie 3 überprüft. Nur RUS und nicht CS stellte hierbei einen eigenständigen Prädiktor für schmerzbezogene Aspekte dar. Psychologische Inflexibilität, genauer Vermeidungsverhalten, erwies sich zudem als Prädiktor mit breiterer Relevanz, jedoch konnte keiner der untersuchten Prädiktoren eigenständig Ärger vorhersagen. Die Relevanz von Selbstmitgefühl zur Bewältigung von akutem Schmerz wurde in einer experimentellen Studie evaluiert (Studie 4). Die Emotionsregulationsstrategien Selbstmitgefühl, Akzeptanz und Ablenkung erwiesen sich als vergleichbar hilfreich hinsichtlich Schmerztoleranz, -Intensität und –Aversion. Selbstmitgefühl scheint demnach auch im Kontext von Schmerz vor allem in spezifischen Kontexten oder für bestimmte Subgruppen von Bedeutung zu sein. Zukünftige Forschung sollte sich daher auf einen adaptiven Einsatz der Emotionsregulationsstrategie Selbstmitgefühl konzentrieren. Im Speziellen sollte die Wirkung von mitgefühlsbasierten Interventionen auf Ärger bei Schmerz genauer evaluiert werden.

Systemic neonicotinoids are one of the most widely used insecticide classes worldwide. In addition to their use in agriculture, they are increasingly applied on forest trees as a protective measure against insect pests. However, senescent leaves containing neonicotinoids might, inter alia during autumn leaf fall, enter nearby streams. There, the hydrophilic neonicotinoids may be remobilized from leaves to water resulting in waterborne exposure of aquatic non-target organisms. Despite the insensitivity of the standard test species Daphnia magna (Crustacea, Cladocera) toward neonicotinoids, a potential risk for aquatic organisms is evident as many other aquatic invertebrates (in particular insects and amphipods) display adverse effects when exposed to neonicotinoids in the ng/L- to low µg/L-range. In addition to waterborne exposure, in particular leaf-shredding invertebrates (= shredders) might be adversely affected by the introduction of neonicotinoid-contaminated leaves into the aquatic environment since they heavily rely on leaf litter as food source. However, dietary neonicotinoid exposure of aquatic shredders has hardly received any attention from researchers and is not considered during aquatic environmental risk assessment. The primary aim of this thesis is, therefore, (1) to characterize foliar neonicotinoid residues and exposure pathways relevant for aquatic shredders, (2) to investigate ecotoxicological effects of waterborne and dietary exposure on two model shredders, namely Gammarus fossarum (Crustacea, Amphipoda) and Chaetopteryx villosa (Insecta, Trichoptera), and (3) to identify biotic and abiotic factors potentially modulating exposure under field conditions. During the course of this thesis, ecotoxicologically relevant foliar residues of the neonicotinoids imidacloprid, thiacloprid and acetamiprid were quantified in black alder trees treated at field relevant levels. A worst-case model – developed to simulate imidacloprid water concentrations resulting from an input of contaminated leaves into a stream – predicted only low aqueous imidacloprid concentrations (i.e., ng/L-range). However, the model identified dietary uptake as an additional exposure pathway relevant for shredders up to a few days after the leaves’ introduction into the stream. When test organisms were simultaneously exposed (= combined exposure) to neonicotinoids leaching from leaves into the water and via the consumption of contaminated leaves, adverse effects exceeded those observed under waterborne exposure alone. When exposure pathways were separated using a flow-through system, dietary exposure towards thiacloprid-contaminated leaves caused similar sublethal adverse effects in G. fossarum as observed under waterborne exposure. Moreover, the effect sizes observed under combined exposure were largely predictable using the reference model “independent action”, which assumes different molecular target sites to be affected. Dietary toxicity for shredders might, however, be reduced under field conditions since UV-induced photodegradation and leaching decreased imidacloprid residues in leaves and thereby the toxicity for G. fossarum. In contrast, both shredders were found unable to actively avoid dietary exposure. This thesis thus recommends considering dietary exposure towards systemic insecticides, such as neonicotinoids, already during their registration to safeguard aquatic shredders, associated ecosystem functions (e.g., leaf litter breakdown) and ultimately ecosystem integrity.

Social networks are ubiquitous structures that we generate and enrich every-day while connecting with people through social media platforms, emails, and any other type of interaction. While these structures are intangible to us, they carry important information. For instance, the political leaning of our friends can be a proxy to identify our own political preferences. Similarly, the credit score of our friends can be decisive in the approval or rejection of our own loans. This explanatory power is being leveraged in public policy, business decision-making and scientific research because it helps machine learning techniques to make accurate predictions. However, these generalizations often benefit the majority of people who shape the general structure of the network, and put in disadvantage under-represented groups by limiting their resources and opportunities. Therefore it is crucial to first understand how social networks form to then verify to what extent their mechanisms of edge formation contribute to reinforce social inequalities in machine learning algorithms. To this end, in the first part of this thesis, I propose HopRank and Janus two methods to characterize the mechanisms of edge formation in real-world undirected social networks. HopRank is a model of information foraging on networks. Its key component is a biased random walker based on transition probabilities between k-hop neighborhoods. Janus is a Bayesian framework that allows to identify and rank plausible hypotheses of edge formation in cases where nodes possess additional information. In the second part of this thesis, I investigate the implications of these mechanisms - that explain edge formation in social networks - on machine learning. Specifically, I study the influence of homophily, preferential attachment, edge density, fraction of inorities, and the directionality of links on both performance and bias of collective classification, and on the visibility of minorities in top-k ranks. My findings demonstrate a strong correlation between network structure and machine learning outcomes. This suggests that systematic discrimination against certain people can be: (i) anticipated by the type of network, and (ii) mitigated by connecting strategically in the network.

This dissertation will discuss the theories of exponents of the philosophy of dialogue. Through that it shall establish the basis to reflect entrepreneurial leadership action. The goal is to find an approach for the development of a dialogical leadership culture. The empirical part shall examine on what basis, in correlation with a dialogical leadership style, subjective assumptions are made by managers in their leadership action who work in inpatient nursing services. Furthermore, it shall address the question of how those subjective assumptions can be considered and utilized towards establishing future dialogically oriented leadership cultures and the development of coinciding management personnel. It shall also debate the question to what extent the philosophy of dialogue includes theoretical concepts which can be used to describe a leadership culture. The intellectual approach of Martin Bubers is especially taken into consideration. Based on these theoretical grounds, the attempt shall be made to develop the basic intention of a dialogical leadership culture which will appropriately justify a didactical concept for the development of management personnel in nursing services.

Content and Language Integrated Learning (CLIL) has experienced growing importance in the last decades and an increasing number of schools have already implemented CLIL programmes or are planning to do so. Though the potentials of CLIL programmes are widely praised, first research results also raise doubts if CLIL students can live up to these high expectations. Both Fehling (2005) as well as Rumlich (2013; 2016), for example, found that CLIL programmes not inevitably show the expected results but that the CLIL students’ success might also be at least partially explained by other influences, such as the selection process of future CLIL students. Hence, CLIL students apparently fall short of the high expectations that are usually connected to the respective CLIL programmes and as this is mainly based on the unsatisfactory quality of these programmes, Rumlich concludes that “it is now high time to focus on the quality of CLIL provision” (Rumlich 2016: 452). He continues to explain that “the promises of CLIL do not materialise automatically owing to the fact that another language is used for learning in a non-language subject” (Rumlich 2016: 452). It must be assumed that the success of CLIL teaching also highly depends on the quality of the CLIL teachers. In contrast to the continuously growing number of CLIL schools, however, the number of specifically trained CLIL teachers is comparably small. In Germany, CLIL teachers are not (yet) required to attend any special training in order to teach in a CLIL programme. Notwithstanding, is it sufficient for a CLIL teacher only to be trained in the content subject and the foreign language? Or does CLIL teaching require more than the sum of these two components? Do CLIL teachers need additional teaching competences to the ones of a content and a language teacher? In the light of the recent findings of CLIL programmes falling short of the high expectations, the answer to these questions must clearly be “Yes”. Hence, in order to appropriately train (future) CLIL teachers, special training programmes need to be developed which consider the teachers’ individual educational backgrounds, i.e. their qualifications as language and/or as content teachers and build up on these competences through adding the CLIL-specific teaching competences. Therefore, this thesis aims at developing a German Framework for CLIL Teacher Education, which considers both the already published, theory-based standards of CLIL teacher education as well as the practical perspective of experienced CLIL teachers in Germany. This German Framework for CLIL Teacher Education classifies the different teaching competences, which are derived from integrating the theoretical and the practical perspective on CLIL teacher education, with regard to the three different competence areas, i.e. the general teaching competence, the language teaching competence and the subject teaching competence and is hence adaptable to different CLIL settings and educational backgrounds. In addition to developing this German Framework for CLIL Teacher Education, which provides the content of future CLIL teacher education programmes, this thesis discusses different forms of structurally implementing CLIL teacher education programmes in the existing structures of teacher education in Germany. This is achieved through analysing the current state of the art of CLIL teacher education at German universities and systematising the different forms of implementing these training programmes in the prevailing educational structures. Building on these first two steps, in the third and final step, this thesis develops a CLIL teacher education programme at a German university that is based on the results and elements of the German Framework for CLIL Teacher Education as well as the state of the art of CLIL teacher education in Germany. Thus, this thesis is allocated at the intersection between foreign language teaching as well as teacher education and is structured in eleven chapters.