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The biosecurity individual
(2024)
Discoveries in biomedicine and biotechnology, especially in diagnostics, have made prevention and (self)surveillance increasingly important in the context of health practices. Frederike Offizier offers a cultural critique of the intersection between health, security and identity, and explores how the focus on risk and security changes our understanding of health and transforms our relationship to our bodies. Analyzing a wide variety of texts, from life writing to fiction, she offers a critical intervention on how this shift in the medical gaze produces new paradigms of difference and new biomedically facilitated identities: biosecurity individuals.
The Women, Peace and Security Agenda (WPSA) is an international framework addressing the disproportionate impact of armed conflict on women and girls and promoting their meaningful participation in peacebuilding efforts. The Security Council called on Member States to develop National Action Plans (NAPs) to operationalize the four pillars of the Agenda. This study looks at the relevant steps undertaken by both Germany and the European Union. The author calls for improvements on either level and makes four recommendations.
Die Begrenzung systemischer Risiken ist essentieller Bestandteil der neuen internationalen Finanzmarktordnung. Dabei galt es nicht nur die Verflechtung der Banken untereinander, sondern auch die Verbindung zwischen den Staatsfinanzen und der Solvenz der nationalen Bankensysteme (dem sog. Risikoverbund zwischen Staat und Banken) zu durchbrechen. Der Beitrag beleuchtet die Entwicklung der Forderungen gegenüber Staaten in den Bankbilanzen der Euroländer und des Eurosystems im Zeitverlauf sowie den daraus erwachsenden Risiken für die Finanzstabilität. Hierzu werden die Determinanten des Risikoverbunds theoretisch wie empirisch analysiert. Die fiskalische Kapazität der Eurostaaten wird anhand verschiedener Faktoren wie der Verschuldungsquote, dem Leistungsbilanzsaldo und der Kredit-BIP Lücke aufgezeigt; anschließend werden die Strukturen der Bankensysteme im Euroraum untersucht. Im Einzelnen werden die private und staatliche Gesamtverschuldung, die konsolidierte Bankenbilanzsumme und die darin enthaltenen Verbindlichkeiten sowie der Anteil des Bankensektors an der Bruttowertschöpfung in Relation zur Wirtschaftsleistung betrachtet. Außerdem finden NPE-Bestände in den Bankbilanzen sowie die Renditen der emittierten Staatsanleihen und damit in Verbindung stehenden CDS-Spreads Betrachtung. Zusätzlich werden die Konzentration, der Verschuldungsgrad, Liquiditätsziffern sowie länderspezifische Unterschiede in Art und Fristigkeit der Refinanzierung der Bankensektoren abgebildet. Auf Basis der empirischen Befunde werden im Hinblick auf die wechselseitigen Ansteckungseffekte zwischen Banken und Staaten Implikationen für die Finanzmarktregulierung diskutiert.
Volcanic hydrothermal systems are an integral part of most volcanoes and typically involve a heat source, adequate fluid supply, and fracture or pore systems through which the fluids can circulate within the volcanic edifice. Associated with this are subtle but powerful processes that can significantly influence the evolution of volcanic activity or the stability of the near-surface volcanic system through mechanical weakening, permeability reduction, and sealing of the affected volcanic rock. These processes are well constrained for rock samples by laboratory analyses but are still difficult to extrapolate and evaluate at the scale of an entire volcano. Advances in unmanned aircraft systems (UAS), sensor technology, and photogrammetric processing routines now allow us to image volcanic surfaces at the centimeter scale and thus study volcanic hydrothermal systems in great detail. This thesis aims to explore the potential of UAS approaches for studying the structures, processes, and dynamics of volcanic hydrothermal systems but also to develop methodological approaches to uncover secondary information hidden in the data, capable of indicating spatiotemporal dynamics or potentially critical developments associated with hydrothermal alteration. To accomplish this, the thesis describes the investigation of two near-surface volcanic hydrothermal systems, the El Tatio geyser field in Chile and the fumarole field of La Fossa di Vulcano (Italy), both of which are among the best-studied sites of their kind. Through image analysis, statistical, and spatial analyses we have been able to provide the most detailed structural images of both study sites to date, with new insights into the driving forces of such systems but also revealing new potential controls, which are summarized in conceptual site-specific models. Furthermore, the thesis explores methodological remote sensing approaches to detect, classify and constrain hydrothermal alteration and surface degassing from UAS-derived data, evaluated them by mineralogical and chemical ground-truthing, and compares the alteration pattern with the present-day degassing activity. A significant contribution of the often neglected diffuse degassing activity to the total amount of degassing is revealed and constrains secondary processes and dynamics associated with hydrothermal alteration that lead to potentially critical developments like surface sealing. The results and methods used provide new approaches for alteration research, for the monitoring of degassing and alteration effects, and for thermal monitoring of fumarole fields, with the potential to be incorporated into volcano monitoring routines.
This study on the Messianic Jewish movement and its relationship to the Torah explores the various aspects of the relationship to the Torah on the basis of 10 interviews with selected Yeshua-believing Jews in leadership positions. The selection of interviewees results in a range of different positions typical of the movement as a whole, which overlap in many respects but are often fundamentally different and sometimes contradictory. Particular attention is paid to the theologically based, divergent and contradictory positions in an attempt to make these understandable.
After a brief introduction to the Messianic Jewish movement, aspects of the Messianic Jewish dual identity are examined and their relevance for the relationship to the Torah is demonstrated. This is followed by an overview of the forums in which Yeshua-believing Jews discuss their relationship to the Torah. The extensive bibliography at the end of the work provides an insight into a lively discussion process within the movement that is still far from complete. A briefly annotated differentiation of terms serves as an overview of the most important meanings of Torah used in the Messianic Jewish movement. Following this preliminary work, the field study is presented. A description of the research field and methodological reflections precede the interviews. In the interviews, the associations with the term Torah are first recorded and the conceptual meaning and use clarified. This already reveals some serious differences. The theological positions and understandings of Torah are presented with the biographical context and main field of influence, and the most important formative influences are named. The points on which they all agree are noted first, as they serve as a common basis. All study the written Torah and consider it, as well as the rest of the Tanakh and the writings of the New Testament in their present form, to be divinely inspired and authoritative. All have found a positive approach to the Torah according to their own definition of the term. For all of them, the written Torah and the Tanakh point to Yeshua. All agree that Yeshua did not abrogate the Torah, but fulfilled it. And all feel a responsibility as a Jew to the Torah in some way. With regard to keeping commandments, all say that no one can earn their way to heaven by doing so. G-d's faithfulness to His promises to Israel is affirmed by all, but whether the new covenant in Yeshua superseded the old covenant of Mt. Sinai, or whether it is simply added to the already existing covenant of Sinai, whether ritual commandments are to continue to be kept after Yeshua's death and resurrection and the destruction of the Temple, whether the commandments aiming at separation from the nations should continue to be kept, whether and under what conditions rabbinic halacha should be followed and what individuals do and teach in their families and communities - all this is discussed interview by interview. It becomes clear how different ways of reading and weighting key scriptures produce different positions. Just as the diversity of positions in relation to the Torah already suggests, the interview partners are divided on the question of a Messianic Jewish Halacha. But here too, the term halacha is interpreted differently by the representatives. At the end of the field study, the attempts to produce Messianic Jewish Halacha and the problems and points of criticism expressed by other interviewees are explained. The work concludes with a theological framework able to contain all the different positions and relationships to the Torah and some starting points for a possible Messianic Jewish hermeneutic theology of the Torah.
This thesis presents a comprehensive exploration of the application of DNA origami nanofork antennas (DONAs) in the field of spectroscopy, with a particular focus on the structural analysis of Cytochrome C (CytC) at the single-molecule level. The research encapsulates the design, optimization, and application of DONAs in enhancing the sensitivity and specificity of Raman spectroscopy, thereby offering new insights into protein structures and interactions.
The initial phase of the study involved the meticulous optimization of DNA origami structures. This process was pivotal in developing nanoscale tools that could significantly enhance the capabilities of Raman spectroscopy. The optimized DNA origami nanoforks, in both dimer and aggregate forms, demonstrated an enhanced ability to detect and analyze molecular vibrations, contributing to a more nuanced understanding of protein dynamics.
A key aspect of this research was the comparative analysis between the dimer and aggregate forms of DONAs. This comparison revealed that while both configurations effectively identified oxidation and spin states of CytC, the aggregate form offered a broader range of detectable molecular states due to its prolonged signal emission and increased number of molecules. This extended duration of signal emission in the aggregates was attributed to the collective hotspot area, enhancing overall signal stability and sensitivity.
Furthermore, the study delved into the analysis of the Amide III band using the DONA system. Observations included a transient shift in the Amide III band's frequency, suggesting dynamic alterations in the secondary structure of CytC. These shifts, indicative of transitions between different protein structures, were crucial in understanding the protein’s functional mechanisms and interactions.
The research presented in this thesis not only contributes significantly to the field of spectroscopy but also illustrates the potential of interdisciplinary approaches in biosensing. The use of DNA origami-based systems in spectroscopy has opened new avenues for research, offering a detailed and comprehensive understanding of protein structures and interactions. The insights gained from this research are expected to have lasting implications in scientific fields ranging from drug development to the study of complex biochemical pathways. This thesis thus stands as a testament to the power of integrating nanotechnology, biochemistry, and spectroscopic techniques in addressing complex scientific questions.
Leitfaden für die Erstellung von kommunalen Aktionsplänen zur Steigerung der urbanen Klimaresilienz
(2024)
Die durch Klimaveränderungen hervorgerufenen Auswirkungen auf Menschen und Umwelt werden immer offensichtlicher: Neben der gesundheitlichen Gefährdung durch Hitzewellen, die deutschlandweit seit einigen Jahren eine steigende Rate an Todes- und Krankheitsfällen zur Folge hat sind in den letzten Jahren zunehmend Starkniederschläge und daraus resultierenden Überschwemmungen bzw. Sturzfluten aufgetreten. Diese ziehen zum Teil immensen wirtschaftlichen Schäden, aber auch Beeinträchtigungen für die menschliche Gesundheit – sowohl physisch als auch psychisch – sowie gar Todesopfer nach sich. Es ist davon auszugehen, dass diese Extremwetterereignisse zukünftiger noch häufiger auftreten werden.
Um die Bevölkerung besser vor den Folgen dieser Wetterextreme zu schützen, sind neben Klimaschutzmaßnahmen auch Vorsorge- und Anpassungsmaßnahmen zur Steigerung der kommunalen Klimaresilienz dringend notwendig. Dazu bedarf es einerseits einer Auseinandersetzung mit den eigenen kommunalen Risiken und daraus resultierenden Handlungsbedarfen, und andererseits eines interdisziplinären, querschnittsorientierten und prozessorientierten Planens und Handelns. Aktionspläne sollen diese beiden Aspekte bündeln.
In den letzten Jahren sind einige kommunale und kommunenübergreifende (Hitze-) aufgestellt worden. Diese unterscheiden sich jedoch in ihrem Inhalt und Umfang zum Teil erheblich. Mit dem vorliegenden Leitfaden soll eine effektive Hilfestellung geschaffen werden, um Kommunen bzw. die kommunale Verwaltung auf dem Weg zum eigenen Aktionsplan zu unterstützt. Dabei fokussiert der Leitfaden auf die Herausforderungen, die sich durch vermehrte Hitze- und Starkregenereignisse ergeben. Er stützt sich auf schon vorhandene Arbeitshilfen, Handlungsempfehlungen, Leitfäden und weitere Hinweise und verweist an vielen Stellen auch darauf. So soll ein praxistauglicher Leitfaden entstehen, der flexibel anwendbar ist. Mit Hilfe des vorliegenden Leitfadens können Kommunen ihre Aktivitäten auf Hitze oder Starkregen fokussieren oder einen umfassenden Aktionsplan für beide Themenbereiche erstellen.
Electricity production contributes to a significant share of greenhouse gas emissions in Europe and is thus an important driver of climate change. To fulfil the Paris Agreement, the European Union (EU) needs a rapid transition to a fully decarbonised power production system. Presumably, such a system will be largely based on renewables. So far, many EU countries have supported a shift towards renewables such as solar and wind power using support schemes, but the economic and political context is changing. Renewables are now cheaper than ever before and have become cost-competitive with conventional technologies. Therefore, European policymakers are striving to better integrate renewables into a competitive market and to increase the cost-effectiveness of the expansion of renewables. The first step was to replace previous fixed-price schemes with competitive auctions. In a second step, these auctions have become more technology-open. Finally, some governments may phase out any support for renewables and fully expose them to the competitive power market.
However, such policy changes may be at odds with the need to rapidly expand renewables and meet national targets due to market characteristics and investors’ risk perception. Without support, price risks are higher, and it may be difficult to meet an investor’s income expectations. Furthermore, policy changes across different countries could have unexpected effects if power markets are interconnected and investors able to shift their investments. Finally, in multi-technology auctions, technologies may dominate, which can be a risk for long-term power system reliability. Therefore, in my thesis, I explore the effects of phasing out support policies for renewables, of coordinating these phase-outs across countries, and of using multi-technology designs. I expand the public policy literature about investment behaviour and policy design as well as policy change and coordination, and I further develop an agent-based model.
The main questions of my thesis are what the cost and deployment effects of gradually exposing renewables to market forces would be and how coordination between countries affects investors’ decisions and market prices.. In my three contributions to the academic literature, I use different methods and come to the following results. In the first contribution, I use a conjoint analysis and market simulation to evaluate the effects of phasing out support or reintroducing feed-in tariffs from the perspective of investors. I find that a phase-out leads to investment shifts, either to other still-supported technologies or to other countries that continue to offer support. I conclude that the coordination of policy changes avoids such shifts.. In the second contribution, I integrate the empirically-derived preferences from the first contribution in to an agent-based power system model of two countries to simulate the effects of ending auctions for renewables. I find that this slows the energy transition, and that cross-border effects are relevant. Consequently, continued support is necessary to meet the national renewables targets. In the third contribution, I analyse the outcome of past multi-technology auctions using descriptive statistics, regression analysis as well as case study comparisons. I find that the outcomes are skewed towards single technologies. This cannot be explained by individual design elements of the auctions, but rather results from context-specific and country-specific characteristics. Based on this, I discuss potential implications for long-term power system reliability.
The main conclusions of my thesis are that a complete phase-out of renewables support would slow down the energy transition and thus jeopardize climate targets, and that multi-technology auctions may pose a risk for some countries, especially those that cannot regulate an unbalanced power plant portfolio in the long term. If policymakers decide to continue supporting renewables, they may consider adopting technology-specific auctions to better steer their portfolio. In contrast, if policymakers still want to phase out support, they should coordinate these policy changes with other countries. Otherwise, overall transition costs can be higher, because investment decisions shift to still-supported but more expensive technologies.
Eskalation des Commitments in Wirtschaftsinformatik Projekten: eine kognitiv-affektive Perspektive
(2024)
Projekte im Bereich der Wirtschaftsinformatik (IS-Projekte) sind von zentraler Bedeutung für die Steuerung von Unternehmensstrategien und die Aufrechterhaltung von Wettbewerbsvorteilen, überschreiten jedoch häufig das Budget, sprengen den Zeitrahmen und weisen eine hohe Misserfolgsquote auf. Diese Dissertation befasst sich mit den psychologischen Grundlagen menschlichen Verhaltens - insbesondere Kognition und Emotion - im Zusammenhang mit einem weit verbreiteten Problem im IS-Projektmanagement: der Tendenz, an fehlgehenden Handlungssträngen festzuhalten, auch Eskalation des Commitments (Englisch: “escalation of commitment” - EoC) genannt.
Mit einem kombinierten Forschungsansatz (dem Mix von qualitativen und quantitativen Methoden) untersuche ich in meiner Dissertation die emotionalen und kognitiven Grundlagen der Entscheidungsfindung hinter eskalierendem Commitment zu scheiternden IS-Projekten und deren Entwicklung über die Zeit. Die Ergebnisse eines psychophysiologischen Laborexperiments liefern Belege auf die Vorhersagen bezüglich der Rolle von negativen und komplexen situativen Emotionen der kognitiven Dissonanz Theorie gegenüber der Coping-Theorie und trägt zu einem besseren Verständnis dafür bei, wie sich Eskalationstendenzen während sequenzieller Entscheidungsfindung aufgrund kognitiver Lerneffekte verändern. Mit Hilfe psychophysiologischer Messungen, einschließlich der Daten-Triangulation zwischen elektrodermaler und kardiovaskulärer Aktivität sowie künstliche Intelligenz-basierter Analyse von Gesichtsmikroexpressionen, enthüllt diese Forschung physiologische Marker für eskalierendes Commitment. Ergänzend zu dem Experiment zeigt eine qualitative Analyse text-basierter Reflexionen während der Eskalationssituationen, dass Entscheidungsträger verschiedene kognitive Begründungsmuster verwenden, um eskalierende Verhaltensweisen zu rechtfertigen, die auf eine Sequenz von vier unterschiedlichen kognitiven Phasen schließen lassen.
Durch die Integration von qualitativen und quantitativen Erkenntnissen entwickelt diese Dissertation ein umfassendes theoretisches Model dafür, wie Kognition und Emotion eskalierendes Commitment über die Zeit beeinflussen. Ich schlage vor, dass eskalierendes Commitment eine zyklische Anpassung von Denkmodellen ist, die sich durch Veränderungen in kognitiven Begründungsmustern, Variationen im zeitlichen Kognitionsmodus und Interaktionen mit situativen Emotionen und deren Erwartung auszeichnet. Der Hauptbeitrag dieser Arbeit liegt in der Entflechtung der emotionalen und kognitiven Mechanismen, die eskalierendes Commitment im Kontext von IS-Projekten antreiben. Die Erkenntnisse tragen dazu bei, die Qualität von Entscheidungen unter Unsicherheit zu verbessern und liefern die Grundlage für die Entwicklung von Deeskalationsstrategien. Beteiligte an „in Schieflage geratenden“ IS-Projekten sollten sich der Tendenz auf fehlgeschlagenen Aktionen zu beharren und der Bedeutung der zugrundeliegenden emotionalen und kognitiven Dynamiken bewusst sein.
The remarkable antifouling properties of zwitterionic polymers in controlled environments are often counteracted by their delicate mechanical stability. In order to improve the mechanical stabilities of zwitterionic hydrogels, the effect of increased crosslinker densities was thus explored. In a first approach, terpolymers of zwitterionic monomer 3-[N -2(methacryloyloxy)ethyl-N,N-dimethyl]ammonio propane-1-sulfonate (SPE), hydrophobic monomer butyl methacrylate (BMA), and photo-crosslinker 2-(4-benzoylphenoxy)ethyl methacrylate (BPEMA) were synthesized. Thin hydrogel coatings of the copolymers were then produced and photo-crosslinked. Studies of the swollen hydrogel films showed that not only the mechanical stability but also, unexpectedly, the antifouling properties were improved by the presence of hydrophobic BMA units in the terpolymers.
Based on the positive results shown by the amphiphilic terpolymers and in order to further test the impact that hydrophobicity has on both the antifouling properties of zwitterionic hydrogels and on their mechanical stability, a new amphiphilic zwitterionic methacrylic monomer, 3-((2-(methacryloyloxy)hexyl)dimethylammonio)propane-1-sulfonate (M1), was synthesized in good yields in a multistep synthesis. Homopolymers of M1 were obtained by free-radical polymerization. Similarly, terpolymers of M1, zwitterionic monomer SPE, and photo-crosslinker BPEMA were synthesized by free-radical copolymerization and thoroughly characterized, including its solubilities in selected solvents.
Also, a new family of vinyl amide zwitterionic monomomers, namely 3-(dimethyl(2-(N -vinylacetamido)ethyl)ammonio)propane-1-sulfonate (M2), 4-(dimethyl(2-(N-vinylacetamido)ethyl)ammonio)butane-1-sulfonate (M3), and 3-(dimethyl(2-(N-vinylacetamido)ethyl)ammonio)propyl sulfate (M4), together with the new photo-crosslinker 4-benzoyl-N-vinylbenzamide (M5) that is well-suited for copolymerization with vinylamides, are introduced within the scope of the present work. The monomers are synthesized with good yields developing a multistep synthesis. Homopolymers of the new vinyl amide zwitterionic monomers are obtained by free-radical polymerization and thoroughly characterized. From the solubility tests, it is remarkable that the homopolymers produced are fully soluble in water, evidence of their high hydrophilicity. Copolymerization of the vinyl amide zwitterionic monomers, M2, M3, and M4 with the vinyl amide photo-crosslinker M5 proved to require very specific polymerization conditions. Nevertheless, copolymers were successfully obtained by free-radical copolymerization under appropriate conditions.
Moreover, in an attempt to mitigate the intrinsic hydrophobicity introduced in the copolymers by the photo-crosslinkers, and based on the proven affinity of quaternized diallylamines to copolymerize with vinyl amides, a new quaternized diallylamine sulfobetaine photo-crosslinker 3-(diallyl(2-(4-benzoylphenoxy)ethyl)ammonio)propane-1-sulfonate (M6) is synthesized. However, despite a priori promising copolymerization suitability, copolymerization with the vinyl amide zwitterionic monomers could not be achieved.
Beerdigen oder verbrennen?
(2024)
The growing use of digital tools in policy implementation has altered the work of street-level bureaucrats who are granted substantial discretionary power in decision-making. Digital tools can constrain discretionary power, like the curtailment thesis proposed, or serve as action resources, like the enablement thesis suggested. This article assesses empirical evidence of the impact of digital tools on street-level work and decision-making in service-oriented and regulation-oriented organisations based on a systematic literature review and thematic qualitative content analysis of 36 empirical studies published until 2021. The findings demonstrate different effects with regard to the role of digital tools and the core tasks of the public administration, depending on political and managerial goals and consequent system design. Leading or decisive digital tools mostly curtail discretion, especially in service-oriented organisations. In contrast, an enhanced information base or recommendations for actions enable decision-making, in particular in regulation-oriented organisations. By showing how street-level bureaucrats actively try to resist the curtailing effects caused by rigid design to address individual circumstances, for instance by establishing ways of coping like rule bending or rule breaking, using personal resources or prioritising among clients, this study demonstrates the importance of the continuation thesis and the persistently crucial role of human judgement in policy implementation.
Die Nutzung von Informations- und Kommunikationstechnik (IKT), Fachverfahren und die Automatisierung von Prozessen verändern die Sachbearbeitung und Leistungserstellung in der Verwaltung und somit die Tätigkeiten, Arbeitsbedingungen und Personalstrukturen. Bei der Antragsbearbeitung und Bescheiderstellung in der Ordnungs- und Leistungsverwaltung erhält IKT nicht nur eine unterstützende, sondern zunehmend auch eine leitende oder entscheidende Rolle. Abhängig von der konkreten Ausgestaltung kann die fortschreitende Digitalisierung eine ganzheitliche Sachbearbeitung ermöglichen, aber auch einschränken. Insgesamt kann sie zu einer Neuordnung des Berufsfeldes öffentlicher Dienst führen.
Legitimiertes Unrecht
(2024)
Das Oberste Gericht der DDR war integraler Bestandteil der sozialistischen Staatsführung und unterlag strengen Denk- und Organisationsstrukturen. Es war eng in die politische Agenda der SED eingebunden und genoss keinerlei Unabhängigkeit. Die Auslegung des DDR-Rechts durch das Gericht orientierte sich ausschließlich an den innen- und außenpolitischen Interessen der SED. Dies galt auch für die Rechtsprechung in Fällen der Republikflucht und ihrer gesetzlichen Vorläufer. Die höchste Gerichtsinstanz im Staat war aktiv an der Gestaltung und Umsetzung der Strafjustiz gegen Republikflüchtige beteiligt, was wesentlich zur Festigung der Herrschaftsgewalt der SED beitrug. Die vorliegende Untersuchung analysiert Urteile des Obersten Gerichts im historisch-politischen Kontext und zeigt auf, dass die Urteilspraxis ausschließlich im Interesse parteipolitischer Ziele handelte und weder dem Volk noch der eigentlichen Rechtsfindung verpflichtet war. Des Weiteren wird der maßgebliche Beitrag des Obersten Gerichts an der schrittweisen Kriminalisierung der Bürger der DDR beleuchtet. Dies wirft ein kritisches Licht auf die Rolle des Rechtssystems bei der Sicherung von Rechtsstaatlichkeit und Menschenrechten in autoritären Regimen.
Citizenship
(2024)
The dynamic landscape of digital transformation entails an impact on industrial-age manufacturing companies that goes beyond product offerings, changing operational paradigms, and requiring an organization-wide metamorphosis. An initiative to address the given challenges is the creation of Digital Innovation Units (DIUs) – departments or distinct legal entities that use new structures and practices to develop digital products, services, and business models and support or drive incumbents’ digital transformation. With more than 300 units in German-speaking countries alone and an increasing number of scientific publications, DIUs have become a widespread phenomenon in both research and practice.
This dissertation examines the evolution process of DIUs in the manufacturing
industry during their first three years of operation, through an extensive longitudinal single-case study and several cross-case syntheses of seven DIUs. Building on the lenses of organizational change and development, time, and socio-technical systems, this research provides insights into the fundamentals, temporal dynamics, socio-technical interactions, and relational dynamics of a DIU’s evolution process. Thus, the dissertation promotes a dynamic understanding of DIUs and adds a two-dimensional perspective to the often one-dimensional view of these units and their interactions with the main organization throughout the startup and growth phases of a DIU.
Furthermore, the dissertation constructs a phase model that depicts the early stages of DIU evolution based on these findings and by incorporating literature from information systems research. As a result, it illustrates the progressive intensification of collaboration between the DIU and the main organization. After being implemented, the DIU sparks initial collaboration and instigates change within (parts of) the main organization. Over time, it adapts to the corporate environment to some extent, responding to changing circumstances in order to contribute to long-term transformation. Temporally, the DIU drives the early phases of cooperation and adaptation in particular, while the main organization triggers the first major evolutionary step and realignment of the DIU.
Overall, the thesis identifies DIUs as malleable organizational structures that are crucial for digital transformation. Moreover, it provides guidance for practitioners on the process of building a new DIU from scratch or optimizing an existing one.
The icosahedral non-hydrostatic large eddy model (ICON-LEM) was applied around the drift track of the Multidisciplinary Observatory Study of the Arctic (MOSAiC) in 2019 and 2020. The model was set up with horizontal grid-scales between 100m and 800m on areas with radii of 17.5km and 140 km. At its lateral boundaries, the model was driven by analysis data from the German Weather Service (DWD), downscaled by ICON in limited area mode (ICON-LAM) with horizontal grid-scale of 3 km.
The aim of this thesis was the investigation of the atmospheric boundary layer near the surface in the central Arctic during polar winter with a high-resolution mesoscale model. The default settings in ICON-LEM prevent the model from representing the exchange processes in the Arctic boundary layer in accordance to the MOSAiC observations. The implemented sea-ice scheme in ICON does not include a snow layer on sea-ice, which causes a too slow response of the sea-ice surface temperature to atmospheric changes. To allow the sea-ice surface to respond faster to changes in the atmosphere, the implemented sea-ice parameterization in ICON was extended with an adapted heat capacity term.
The adapted sea-ice parameterization resulted in better agreement with the MOSAiC observations. However, the sea-ice surface temperature in the model is generally lower than observed due to biases in the downwelling long-wave radiation and the lack of complex surface structures, like leads. The large eddy resolving turbulence closure yielded a better representation of the lower boundary layer under strongly stable stratification than the non-eddy-resolving turbulence closure. Furthermore, the integration of leads into the sea-ice surface reduced the overestimation of the sensible heat flux for different weather conditions.
The results of this work help to better understand boundary layer processes in the central Arctic during the polar night. High-resolving mesoscale simulations are able to represent temporally and spatially small interactions and help to further develop parameterizations also for the application in regional and global models.
Concepts and techniques for 3D-embedded treemaps and their application to software visualization
(2024)
This thesis addresses concepts and techniques for interactive visualization of hierarchical data using treemaps. It explores (1) how treemaps can be embedded in 3D space to improve their information content and expressiveness, (2) how the readability of treemaps can be improved using level-of-detail and degree-of-interest techniques, and (3) how to design and implement a software framework for the real-time web-based rendering of treemaps embedded in 3D. With a particular emphasis on their application, use cases from software analytics are taken to test and evaluate the presented concepts and techniques.
Concerning the first challenge, this thesis shows that a 3D attribute space offers enhanced possibilities for the visual mapping of data compared to classical 2D treemaps. In particular, embedding in 3D allows for improved implementation of visual variables (e.g., by sketchiness and color weaving), provision of new visual variables (e.g., by physically based materials and in situ templates), and integration of visual metaphors (e.g., by reference surfaces and renderings of natural phenomena) into the three-dimensional representation of treemaps.
For the second challenge—the readability of an information visualization—the work shows that the generally higher visual clutter and increased cognitive load typically associated with three-dimensional information representations can be kept low in treemap-based representations of both small and large hierarchical datasets. By introducing an adaptive level-of-detail technique, we cannot only declutter the visualization results, thereby reducing cognitive load and mitigating occlusion problems, but also summarize and highlight relevant data. Furthermore, this approach facilitates automatic labeling, supports the emphasis on data outliers, and allows visual variables to be adjusted via degree-of-interest measures.
The third challenge is addressed by developing a real-time rendering framework with WebGL and accumulative multi-frame rendering. The framework removes hardware constraints and graphics API requirements, reduces interaction response times, and simplifies high-quality rendering. At the same time, the implementation effort for a web-based deployment of treemaps is kept reasonable.
The presented visualization concepts and techniques are applied and evaluated for use cases in software analysis. In this domain, data about software systems, especially about the state and evolution of the source code, does not have a descriptive appearance or natural geometric mapping, making information visualization a key technology here. In particular, software source code can be visualized with treemap-based approaches because of its inherently hierarchical structure. With treemaps embedded in 3D, we can create interactive software maps that visually map, software metrics, software developer activities, or information about the evolution of software systems alongside their hierarchical module structure.
Discussions on remaining challenges and opportunities for future research for 3D-embedded treemaps and their applications conclude the thesis.
Rapidly growing seismic and macroseismic databases and simplified access to advanced machine learning methods have in recent years opened up vast opportunities to address challenges in engineering and strong motion seismology from novel, datacentric perspectives. In this thesis, I explore the opportunities of such perspectives for the tasks of ground motion modeling and rapid earthquake impact assessment, tasks with major implications for long-term earthquake disaster mitigation.
In my first study, I utilize the rich strong motion database from the Kanto basin, Japan, and apply the U-Net artificial neural network architecture to develop a deep learning based ground motion model. The operational prototype provides statistical estimates of expected ground shaking, given descriptions of a specific earthquake source, wave propagation paths, and geophysical site conditions. The U-Net interprets ground motion data in its spatial context, potentially taking into account, for example, the geological properties in the vicinity of observation sites. Predictions of ground motion intensity are thereby calibrated to individual observation sites and earthquake locations.
The second study addresses the explicit incorporation of rupture forward directivity into ground motion modeling. Incorporation of this phenomenon, causing strong, pulse like ground shaking in the vicinity of earthquake sources, is usually associated with an intolerable increase in computational demand during probabilistic seismic hazard analysis (PSHA) calculations. I suggest an approach in which I utilize an artificial neural network to efficiently approximate the average, directivity-related adjustment to ground motion predictions for earthquake ruptures from the 2022 New Zealand National Seismic Hazard Model. The practical implementation in an actual PSHA calculation demonstrates the efficiency and operational readiness of my model. In a follow-up study, I present a proof of concept for an alternative strategy in which I target the generalizing applicability to ruptures other than those from the New Zealand National Seismic Hazard Model.
In the third study, I address the usability of pseudo-intensity reports obtained from macroseismic observations by non-expert citizens for rapid impact assessment. I demonstrate that the statistical properties of pseudo-intensity collections describing the intensity of shaking are correlated with the societal impact of earthquakes. In a second step, I develop a probabilistic model that, within minutes of an event, quantifies the probability of an earthquake to cause considerable societal impact. Under certain conditions, such a quick and preliminary method might be useful to support decision makers in their efforts to organize auxiliary measures for earthquake disaster response while results from more elaborate impact assessment frameworks are not yet available.
The application of machine learning methods to datasets that only partially reveal characteristics of Big Data, qualify the majority of results obtained in this thesis as explorative insights rather than ready-to-use solutions to real world problems. The practical usefulness of this work will be better assessed in the future by applying the approaches developed to growing and increasingly complex data sets.
The urban heat island (UHI) effect, describing an elevated temperature of urban areas compared with their natural surroundings, can expose urban dwellers to additional heat stress, especially during hot summer days. A comprehensive understanding of the UHI dynamics along with urbanization is of great importance to efficient heat stress mitigation strategies towards sustainable urban development. This is, however, still challenging due to the difficulties of isolating the influences of various contributing factors that interact with each other. In this work, I present a systematical and quantitative analysis of how urban intrinsic properties (e.g., urban size, density, and morphology) influence UHI intensity.
To this end, we innovatively combine urban growth modelling and urban climate simulation to separate the influence of urban intrinsic factors from that of background climate, so as to focus on the impact of urbanization on the UHI effect. The urban climate model can create a laboratory environment which makes it possible to conduct controlled experiments to separate the influences from different driving factors, while the urban growth model provides detailed 3D structures that can be then parameterized into different urban development scenarios tailored for these experiments. The novelty in the methodology and experiment design leads to the following achievements of our work.
First, we develop a stochastic gravitational urban growth model that can generate 3D structures varying in size, morphology, compactness, and density gradient. We compare various characteristics, like fractal dimensions (box-counting, area-perimeter scaling, area-population scaling, etc.), and radial gradient profiles of land use share and population density, against those of real-world cities from empirical studies. The model shows the capability of creating 3D structures resembling real-world cities. This model can generate 3D structure samples for controlled experiments to assess the influence of some urban intrinsic properties in question. [Chapter 2]
With the generated 3D structures, we run several series of simulations with urban structures varying in properties like size, density and morphology, under the same weather conditions. Analyzing how the 2m air temperature based canopy layer urban heat island (CUHI) intensity varies in response to the changes of the considered urban factors, we find the CUHI intensity of a city is directly related to the built-up density and an amplifying effect that urban sites have on each other. We propose a Gravitational Urban Morphology (GUM) indicator to capture the neighbourhood warming effect. We build a regression model to estimate the CUHI intensity based on urban size, urban gross building volume, and the GUM indicator. Taking the Berlin area as an example, we show the regression model capable of predicting the CUHI intensity under various urban development scenarios. [Chapter 3]
Based on the multi-annual average summer surface urban heat island (SUHI) intensity derived from Land surface temperature, we further study how urban intrinsic factors influence the SUHI effect of the 5,000 largest urban clusters in Europe. We find a similar 3D GUM indicator to be an effective predictor of the SUHI intensity of these European cities. Together with other urban factors (vegetation condition, elevation, water coverage), we build different multivariate linear regression models and a climate space based Geographically Weighted Regression (GWR) model that can better predict SUHI intensity. By investigating the roles background climate factors play in modulating the coefficients of the GWR model, we extend the multivariate linear model to a nonlinear one by integrating some climate parameters, such as the average of daily maximal temperature and latitude. This makes it applicable across a range of background climates. The nonlinear model outperforms linear models in SUHI assessment as it captures the interaction of urban factors and the background climate. [Chapter 4]
Our work reiterates the essential roles of urban density and morphology in shaping the urban thermal environment. In contrast to many previous studies that link bigger cities with higher UHI intensity, we show that cities larger in the area do not necessarily experience a stronger UHI effect. In addition, the results extend our knowledge by demonstrating the influence of urban 3D morphology on the UHI effect. This underlines the importance of inspecting cities as a whole from the 3D perspective. While urban 3D morphology is an aggregated feature of small-scale urban elements, the influence it has on the city-scale UHI intensity cannot simply be scaled up from that of its neighbourhood-scale components. The spatial composition and configuration of urban elements both need to be captured when quantifying urban 3D morphology as nearby neighbourhoods also cast influences on each other. Our model serves as a useful UHI assessment tool for the quantitative comparison of urban intervention/development scenarios. It can support harnessing the capacity of UHI mitigation through optimizing urban morphology, with the potential of integrating climate change into heat mitigation strategies.
Gewerblicher Rechtsschutz
(2024)
Der Gewerbliche Rechtsschutz ist mit seinen Bestandteilen Patentrecht, Gebrauchsmusterrecht, Designrecht und Markenrecht ein wichtiger Bestandteil der Schwerpunktbereiche zum Wirtschaftsrecht und Gewerblichen Rechtsschutz. Die Materie ist eng mit den Problemen der Informationsgesellschaft verknüpft und unterliegt gegenwärtig einigen Änderungen. Der Grundriss stellt das Rechtsgebiet kompakt und hochaktuell dar. Insbesondere sind neueste Entscheidungen aus der Rechtsprechung eingearbeitet. Das Werk stellt in erster Linie die deutsche Rechtslage, stets unter Einbeziehung der Vorgaben des Rechts der Europäischen Union dar. Der Grundriss orientiert sich an der Struktur der Gesetze und konzentriert sich auf das für Ausbildung und Prüfung Relevante. Schwerpunkte bildet dabei das für Prüfungsarbeiten wie Klausuren und Hausarbeiten regelmäßig so wichtige materielle Recht. Für das Patentrecht, Gebrauchsmusterrecht, Designrecht und Markenrecht sind jeweils dargestellt :Schutzrechtsgegenstand Schutzrechtsinhaber Formelle Voraussetzungen für die Entstehung des Schutzrechts Schutzrechtsumfang Schutzrechtsdauer Verkehrsfähigkeit des Schutzrechts Rechtsfolgen bei Schutzrechtsverletzung. Die Materie wird anschaulich und mit vielen Beispielen, Fällen und Grafiken dargestellt.Vorteile auf einen Blickkompakte Darstellung des geltenden Rechts vom Autor des Wettbewerbsrechts, Kartellrechts und Urheberrechts in der Grundriss-Reihe zahlreiche Beispiele, Fälle und Übersichten zur Veranschaulichung.
Mit der 2. Auflage wird das Werk auf den neuesten Stand gebracht. Insbesondere sind das Zweite Gesetz zur Vereinfachung und Modernisierung des Patentrechts (2. PatMoG), das Gesetz zur Anpassung patentrechtlicher Vorschriften auf Grund der europäischen Patentreform, das Verbandsklagenrichtlinienumsetzungsgesetz und das Gesetz zur Stärkung des fairen Wettbewerbs berücksichtigt. Eingearbeitet sind außerdem die Grundlagenentscheidungen EuGH WRP 2020, 438 - Constantin Film Produktion/EUIPO ("Fack Ju Göthe"), EuGH WRP 2020, 707 - Coty Germany/Amazon Services Europe u.a., EuGH WRP 2020, 707 - Gömböc Kutató, Szolgáto és Kreskedelmi/Szellemi Tuljadon Nemzeti Hivatala, EuGH WRP 2020, 1007 - mk adovkaten/MBK Rechtsanwälte, BGH GRUR 2019, 496 - Spannungsversorgungsvorrichtung, BGH WRP 2019, 1311 - Ortlieb II, BGH WRP 2020, 1311 - Quadratische Tafelschokoladenverpackung, BGH GRUR 2022, 893 - Aminosäureproduktion.
Urheberrecht
(2024)
Das Urheberrecht ist ein wichtiger Bestandteil der Wahlfächer Wirtschaftsrecht und Gewerblicher Rechtsschutz. Gegenstand des Rechtsgebiets sind die Rechte an Werken der Literatur, Wissenschaft und Kunst. Die Materie ist eng mit den Problemen der Informationsgesellschaft verknüpft und unterliegt gegenwärtig zahlreichen Änderungen.Der Grundriss stellt das Rechtsgebiet kompakt und hochaktuell dar. Insbesondere sind neueste Entscheidungen aus der Rechtsprechung eingearbeitet.Das Werk stellt nicht nur das Urheberrecht im eigentlichen Sinne, sondern auch Teile des Kunsturhebergesetzes, insbesondere das Recht am eigenen Bild, eingehend dar.Der Grundriss orientiert sich an der Struktur des Gesetzes und konzentriert sich auf das für Ausbildung und Prüfung Relevante. Schwerpunkte bilden dabei: Werkbegriff Übertragung von Nutzungs- und Verwertungsrechten Rechtsfolgen von Urheberrechtsverletzungen Urheberrechts-Diensteanbieter-Gesetz (UrhDaG) Recht am eigenen Bild nach 22, 23 Kunst UrhG. Die Materie wird anschaulich und mit vielen Beispielen, Schemata und Grafiken dargestellt.Vorteile auf einen Blickkompakte Darstellung des geltenden Rechts vom Autor des Gewerblichen Rechtsschutzes, Lauterkeitsrechts, Kartellrechts und Urheberrechts jeweils in der Grundriss-Reihe zahlreiche Beispiele und Übersichten zur Veranschaulichung.
Mit der 5. Auflage wird das Werk auf den neuesten Stand gebracht.Insbesondere sind das Gesetz zur Anpassung des Urheberrechts an die Erfordernisse des digitalen Binnenmarktes, das Gesetz zur Stärkung des fairen Wettbewerbs sowie zahlreiche neue Grundlagenentscheidungen des BGH zum Verzicht auf das Namensnennungsrecht nach 13 S. 2 UrhG (WRP 2023, 1469 - Microstock-Portal), zur Haftung von Plattformen (WRP 2022, 1106 - YouTube II u. 1120 - up-loaded II), zur freien Benutzung (WRP 2022, 729 - Porsche 911) und zum Bildnisschutz (GRUR 2021, 1222 - Die Auserwählten; WRP 2022, 601 - Tina Turner) eingearbeitet.
This chapter provides an overview of methods to capture developments and changes in motivational beliefs. Motivational research has recently begun to venture beyond just examining average developmental trends in motivational variables by starting to investigate how developmental changes in motivational variables differ between and within individuals in different learning situations and across contexts. Although studies have started to uncover differences in motivational changes, a systematic overview of suitable methods for capturing motivational differences in developmental processes is still missing. In this chapter, we review key methods of change modelling, bringing together variable-centred approaches, such as growth modelling and true intraindividual change (TIC) models, and person-centred approaches, such as latent transition and growth mixture models. We illustrate the value of the reviewed statistical methods for the analysis of context-specific motivational changes by reviewing recent empirical studies that identify different patterns and trajectories of such motivational beliefs across time. Our focus is thereby on research grounded in situated expectancy-value theory as a core theory in motivational research.
Advancing digitalization is changing society and has far-reaching effects on people and companies. Fundamental to these changes are the new technological possibilities for processing data on an ever-increasing scale and for various purposes. The availability of large and high-quality data sets, especially those based on personal data, is crucial. They are used either to improve the productivity, quality, and individuality of products and services or to develop new types of services. Today, user behavior is tracked more actively and comprehensively than ever despite increasing legal requirements for protecting personal data worldwide. That increasingly raises ethical, moral, and social questions, which have moved to the forefront of the political debate, not least due to popular cases of data misuse. Given this discourse and the legal requirements, today's data management must fulfill three conditions: Legality or legal conformity of use and ethical legitimacy. Thirdly, the use of data should add value from a business perspective. Within the framework of these conditions, this cumulative dissertation pursues four research objectives with a focus on gaining a better understanding of
(1) the challenges of implementing privacy laws,
(2) the factors that influence customers' willingness to share personal data,
(3) the role of data protection for digital entrepreneurship, and
(4) the interdisciplinary scientific significance, its development, and its interrelationships.
Kaschrut
(2024)
We examine how the gender of business-owners is related to the wages paid to female relative to male employees working in their firms. Using Finnish register data and employing firm fixed effects, we find that the gender pay gap is – starting from a gender pay gap of 11 to 12 percent - two to three percentage-points lower for hourly wages in female-owned firms than in male-owned firms. Results are robust to how the wage is measured, as well as to various further robustness checks. More importantly, we find substantial differences between industries. While, for instance, in the manufacturing sector, the gender of the owner plays no role for the gender pay gap, in several service sector industries, like ICT or business services, no or a negligible gender pay gap can be found, but only when firms are led by female business owners. Businesses in male ownership maintain a gender pay gap of around 10 percent also in the latter industries. With increasing firm size, the influence of the gender of the owner, however, fades. In large firms, it seems that others – firm managers – determine wages and no differences in the pay gap are observed between male- and female-owned firms.
Werner Krause and Christina Gahn argue that we need to pay more attention to how the media communicates the results of opinion polls to the public. Reporting methodological details, such as margins of error, can alter citizens’ vote choices on election day. This has important implications for elections around the world
?של מי הנקמה
(2024)
Du sollst nicht essen
(2024)
Zwar sind Menschen biologisch gesehen Allesesser, dennoch gibt es keine Gemeinschaft, die alle ihr zur Verfügung stehenden Nahrungsmittel voll ausschöpft. Immer wird etwas nicht gegessen. Warum wir nicht essen, was wir nicht essen – das beleuchtet dieser Sammelband aus neuro-, ernährungs-, gesellschafts- und religionswissenschaftlicher Perspektive. Ein „religiöser Nutriscore“ gibt Auskunft über die wichtigsten Verzichtsregeln in Judentum, Christentum und Islam. Eine Fotostrecke veranschaulicht, wie bestimmte Speisen zu Festen und Feiertagen zu einem heiligen Essen werden. Nicht zuletzt werden Wege aufgezeigt, wie Menschen, die verschiedene Speiseregeln befolgen, dennoch zusammen essen können – inklusive Praxistest in der Unimensa.
Du sollst nicht essen
(2024)
Zwar sind Menschen biologisch gesehen Allesesser, dennoch gibt es keine Gemeinschaft, die alle ihr zur Verfügung stehenden Nahrungsmittel voll ausschöpft. Immer wird etwas nicht gegessen. Warum wir nicht essen, was wir nicht essen – das beleuchtet dieser Sammelband aus neuro-, ernährungs-, gesellschafts- und religionswissenschaftlicher Perspektive. Ein „religiöser Nutriscore“ gibt Auskunft über die wichtigsten Verzichtsregeln in Judentum, Christentum und Islam. Eine Fotostrecke veranschaulicht, wie bestimmte Speisen zu Festen und Feiertagen zu einem heiligen Essen werden. Nicht zuletzt werden Wege aufgezeigt, wie Menschen, die verschiedene Speiseregeln befolgen, dennoch zusammen essen können – inklusive Praxistest in der Unimensa.
Moss-microbe associations are often characterised by syntrophic interactions between the microorganisms and their hosts, but the structure of the microbial consortia and their role in peatland development remain unknown.
In order to study microbial communities of dominant peatland mosses, Sphagnum and brown mosses, and the respective environmental drivers, four study sites representing different successional stages of natural northern peatlands were chosen on a large geographical scale: two brown moss-dominated, circumneutral peatlands from the Arctic and two Sphagnum-dominated, acidic peat bogs from subarctic and temperate zones.
The family Acetobacteraceae represented the dominant bacterial taxon of Sphagnum mosses from various geographical origins and displayed an integral part of the moss core community. This core community was shared among all investigated bryophytes and consisted of few but highly abundant prokaryotes, of which many appear as endophytes of Sphagnum mosses. Moreover, brown mosses and Sphagnum mosses represent habitats for archaea which were not studied in association with peatland mosses so far. Euryarchaeota that are capable of methane production (methanogens) displayed the majority of the moss-associated archaeal communities. Moss-associated methanogenesis was detected for the first time, but it was mostly negligible under laboratory conditions. Contrarily, substantial moss-associated methane oxidation was measured on both, brown mosses and Sphagnum mosses, supporting that methanotrophic bacteria as part of the moss microbiome may contribute to the reduction of methane emissions from pristine and rewetted peatlands of the northern hemisphere.
Among the investigated abiotic and biotic environmental parameters, the peatland type and the host moss taxon were identified to have a major impact on the structure of moss-associated bacterial communities, contrarily to archaeal communities whose structures were similar among the investigated bryophytes. For the first time it was shown that different bog development stages harbour distinct bacterial communities, while at the same time a small core community is shared among all investigated bryophytes independent of geography and peatland type.
The present thesis displays the first large-scale, systematic assessment of bacterial and archaeal communities associated both with brown mosses and Sphagnum mosses. It suggests that some host-specific moss taxa have the potential to play a key role in host moss establishment and peatland development.
The increasing number of known exoplanets raises questions about their demographics and the mechanisms that shape planets into how we observe them today. Young planets in close-in orbits are exposed to harsh environments due to the host star being magnetically highly active, which results in high X-ray and extreme UV fluxes impinging on the planet. Prolonged exposure to this intense photoionizing radiation can cause planetary atmospheres to heat up, expand and escape into space via a hydrodynamic escape process known as photoevaporation. For super-Earth and sub-Neptune-type planets, this can even lead to the complete erosion of their primordial gaseous atmospheres. A factor of interest for this particular mass-loss process is the activity evolution of the host star. Stellar rotation, which drives the dynamo and with it the magnetic activity of a star, changes significantly over the stellar lifetime. This strongly affects the amount of high-energy radiation received by a planet as stars age. At a young age, planets still host warm and extended envelopes, making them particularly susceptible to atmospheric evaporation. Especially in the first gigayear, when X-ray and UV levels can be 100 - 10,000 times higher than for the present-day sun, the characteristics of the host star and the detailed evolution of its high-energy emission are of importance.
In this thesis, I study the impact of stellar activity evolution on the high-energy-induced atmospheric mass loss of young exoplanets. The PLATYPOS code was developed as part of this thesis to calculate photoevaporative mass-loss rates over time. The code, which couples parameterized planetary mass-radius relations with an analytical hydrodynamic escape model, was used, together with Chandra and eROSITA X-ray observations, to investigate the future mass loss of the two young multiplanet systems V1298 Tau and K2-198. Further, in a numerical ensemble study, the effect of a realistic spread of activity tracks on the small-planet radius gap was investigated for the first time. The works in this thesis show that for individual systems, in particular if planetary masses are unconstrained, the difference between a young host star following a low-activity track vs. a high-activity one can have major implications: the exact shape of the activity evolution can determine whether a planet can hold on to some of its atmosphere, or completely loses its envelope, leaving only the bare rocky core behind. For an ensemble of simulated planets, an observationally-motivated distribution of activity tracks does not substantially change the final radius distribution at ages of several gigayears. My simulations indicate that the overall shape and slope of the resulting small-planet radius gap is not significantly affected by the spread in stellar activity tracks. However, it can account for a certain scattering or fuzziness observed in and around the radius gap of the observed exoplanet population.
Development of a CRISPR/Cas gene editing technique for the coccolithophore Chrysotila carterae
(2024)
Diese Arbeit zeigt auf, wie historisch und rechtlich eine Ungleichheit zwischen Schwarzen und Weißen in Deutschland gewachsen ist und geht der Frage nach, welche Anforderungen das Verfassungsrecht, die Rechtspraxis und die Politik erfüllen müssen, um sie auszugleichen.
Eingangs wird die Entwicklung des Verbots der rassischen Diskriminierung im internationalen und nationalen Recht dargelegt. Folglich zeichnet die Verfasserin die Diskriminierungsgeschichte von Schwarzen Menschen nach. Zur Überwindung der nach wie vor bestehenden strukturellen Diskriminierung schlägt sie ein positives Recht vor, das sich auf Menschenrechtsstandards und Lösungsansätzen aus Rechtsvergleichen stützt und die Gleichberechtigung von Schwarzen Menschen bewirken soll.
Der Fall des T. Annius Milo bietet für den Lateinunterricht großes didaktisches Potenzial. Denn an seinem Beispiel kann die Lektüre eines lateinischen Textes hervorragend mit realienkundlichen Aspekten verknüpft und es können plausible Bezüge zur Gegenwart hergestellt werden. Die vorliegende Masterarbeit zeigt, welch reiches Themenspektrum in Ciceros Rede Pro Milone steckt. Dazu zählen der historische Kontext des Falls, der Tatbestand des Mordes und der Ablauf des damaligen Gerichtsverfahrens. Darüber hinaus wird das römische Recht mit dem heutzutage in Deutschland geltenden Strafrecht verglichen. Und zu guter Letzt wird hier die Glaubwürdigkeit verschiedener schriftlicher Zeugnisse geprüft, insbesondere die Frage, ob die überlieferte Rede das einstige Prozessgeschehen in authentischer Weise widerspiegelt.
Diglossic translanguaging
(2024)
This book examines how German-speaking Jews living in Berlin make sense and make use of their multilingual repertoire. With a focus on lexical variation, the book demonstrates how speakers integrate Yiddish and Hebrew elements into German for indexing belonging and for positioning themselves within the Jewish community. Linguistic choices are shaped by language ideologies (e.g., authenticity, prescriptivism, nostalgia). Speakers translanguage when using their multilingual repertoire, but do so in a diglossic way, using elements from different languages for specific domains
Der vorliegende Beitrag, der sich weniger als Fachbeitrag, sondern vielmehr als Erfahrungsbericht aus der Praxis versteht, berichtet von unterschiedlichen Versuchen, die Mensch-Tier-Beziehung in den schulischen Kontext einzubringen und somit der unzureichenden Beachtung der Thematik entgegenzuwirken. Nachdem überblicksartig die Relevanz der Mensch-Tier-Thematik herausgestellt und auf diese Weise die Notwendigkeit einer unterrichtlichen Beschäftigung mit dem Verhältnis von Menschen und anderen Tieren begründet wird, wird zunächst von einem ersten Versuch berichtet, (angehende) Lehrkräfte im Rahmen eines Workshops am Studienseminar Potsdam für die Relevanz der Mensch-Tier-Thematik zu sensibilisieren sowie über eine mögliche Umsetzung in den verschiedenen Unterrichtsfächern zu informieren. Anschließend werden – exemplarisch für den Politikunterricht – zwei Unterrichtsstunden, die die Mensch-Tier-Beziehung auf verschiedene Weise in den Politikunterricht einbeziehen, sowie die im Rahmen der Durchführung gesammelten Erfahrungen vorgestellt.
Wem wird geglaubt und wem nicht? Wessen Wissen wird weitergegeben und wessen nicht? Wer hat eine Stimme und wer nicht? Theorien der epistemischen Ungerechtigkeit befassen sich mit dem breiten Feld der ungerechten oder unfairen Behandlung, die mit Fragen des Wissens, Verstehens und Kommunizierens zusammenhängen, wie z.B. die Möglichkeit, vom Wissen oder von kommunikativen Praktiken ausgeschlossen zu werden oder zum Schweigen gebracht zu werden, aber auch Kontexte, in denen die Bedeutungen mancher systematisch verzerrt oder falsch gehört und falsch dargestellt werden, in denen manchen misstraut wird oder es an epistemischer Handlungsfähigkeit mangelt. In diesem Buch wird eine Übersicht über die breite Debatte epistemischer Ungerechtigkeit, epistemischer Unterdrückung und epistemischer Gewalt gegeben, in dem unterschiedliche Theorien, die sich auf der Schnittstelle von Gerechtigkeitstheorie und epistemischen Fragen befinden, systematisch und kritisch diskutiert sowie theoretische Vorgänger dieser Theorien beleuchtet werden.
In the debate on epistemic injustice, it is generally assumed that testimonial injustice as one form of epistemic injustice cannot be committed (fully) deliberately or intentionally because it involves unconscious identity prejudices. Drawing on the case of sexual violence against refugees in European refugee camps, this paper argues that there is a form of testimonial injustice—willful testimonial injustice—that is deliberate. To do so, the paper argues (a) that the hearer intentionally utilizes negative identity prejudices for a particular purpose and (b) that the hearer is aware of the fact that the intentionally used prejudices are in fact prejudices. Furthermore, the paper shows how testimonial injustice relates to recognition failures both in terms of a causal as well as a constitutive claim. In fact, introducing willful testimonial injustice can support the constitutive claim of such a relation that has so far received little attention. Besides arguing for a novel form of testimonial injustice and contributing to the recent debate on the relation between epistemic injustice and recognition failures, this paper is also motivated by the attempt to draw attention to the inhumane conditions for refugees at the border of Europe as well as elsewhere.
Global warming, driven primarily by the excessive emission of greenhouse gases such as carbon dioxide into the atmosphere, has led to severe and detrimental environmental impacts. Rising global temperatures have triggered a cascade of adverse effects, including melting glaciers and polar ice caps, more frequent and intense heat waves disrupted weather patterns, and the acidification of oceans. These changes adversely affect ecosystems, biodiversity, and human societies, threatening food security, water availability, and livelihoods. One promising solution to mitigate the harmful effects of global warming is the widespread adoption of solar cells, also known as photovoltaic cells. Solar cells harness sunlight to generate electricity without emitting greenhouse gases or other pollutants. By replacing fossil fuel-based energy sources, solar cells can significantly reduce CO2 emissions, a significant contributor to global warming. This transition to clean, renewable energy can help curb the increasing concentration of greenhouse gases in the atmosphere, thereby slowing down the rate of global temperature rise.
Solar energy’s positive impact extends beyond emission reduction. As solar panels become more efficient and affordable, they empower individuals, communities, and even entire nations to generate electricity and become less dependent on fossil fuels. This decentralized energy generation can enhance resilience in the face of climate-related challenges. Moreover, implementing solar cells creates green jobs and stimulates technological innovation, further promoting sustainable economic growth. As solar technology advances, its integration with energy storage systems and smart grids can ensure a stable and reliable energy supply, reducing the need for backup fossil fuel power plants that exacerbate environmental degradation.
The market-dominant solar cell technology is silicon-based, highly matured technology with a highly systematic production procedure. However, it suffers from several drawbacks, such as: 1) Cost: still relatively high due to high energy consumption due to the need to melt and purify silicon, and the use of silver as an electrode, which hinders their widespread availability, especially in low-income countries. 2) Efficiency: theoretically, it should deliver around 29%; however, the efficiency of most of the commercially available silicon-based solar cells ranges from 18 – 22%. 3) Temperature sensitivity: The efficiency decreases with the increase in the temperature, affecting their output. 4) Resource constraints: silicon as a raw material is unavailable in all countries, creating supply chain challenges.
Perovskite solar cells arose in 2011 and matured very rapidly in the last decade as a highly efficient and versatile solar cell technology. With an efficiency of 26%, high absorption coefficients, solution processability, and tunable band gap, it attracted the attention of the solar cells community. It represented a hope for cheap, efficient, and easily processable next-generation solar cells. However, lead toxicity might be the block stone hindering perovskite solar cells’ market reach. Lead is a heavy and bioavailable element that makes perovskite solar cells environmentally unfriendly technology. As a result, scientists try to replace lead with a more environmentally friendly element. Among several possible alternatives, tin was the most suitable element due to its electronic and atomic structure similarity to lead.
Tin perovskites were developed to alleviate the challenge of lead toxicity. Theoretically, it shows very high absorption coefficients, an optimum band gap of 1.35 eV for FASnI3, and a very high short circuit current, which nominates it to deliver the highest possible efficiency of a single junction solar cell, which is around 30.1% according to Schockly-Quisser limit. However, tin perovskites’ efficiency still lags below 15% and is irreproducible, especially from lab to lab. This humble performance could be attributed to three reasons: 1) Tin (II) oxidation to tin (IV), which would happen due to oxygen, water, or even by the effect of the solvent, as was discovered recently. 2) fast crystallization dynamics, which occurs due to the lateral exposure of the P-orbitals of the tin atom, which enhances its reactivity and increases the crystallization pace. 3) Energy band misalignment: The energy bands at the interfaces between the perovskite absorber material and the charge selective layers are not aligned, leading to high interfacial charge recombination, which devastates the photovoltaic performance. To solve these issues, we implemented several techniques and approaches that enhanced the efficiency of tin halide perovskites, providing new chemically safe solvents and antisolvents. In addition, we studied the energy band alignment between the charge transport layers and the tin perovskite absorber.
Recent research has shown that the principal source of tin oxidation is the solvent known as dimethylsulfoxide, which also happens to be one of the most effective solvents for processing perovskite. The search for a stable solvent might prove to be the factor that makes all the difference in the stability of tin-based perovskites. We started with a database of over 2,000 solvents and narrowed it down to a series of 12 new solvents that are suitable for processing FASnI3 experimentally. This was accomplished by looking into 1) the solubility of the precursor chemicals FAI and SnI2, 2) the thermal stability of the precursor solution, and 3) the potential to form perovskite. Finally, we show that it is possible to manufacture solar cells using a novel solvent system that outperforms those produced using DMSO. The results of our research give some suggestions that may be used in the search for novel solvents or mixes of solvents that can be used to manufacture stable tin-based perovskites.
Due to the quick crystallization of tin, it is more difficult to deposit tin-based perovskite films from a solution than manufacturing lead-based perovskite films since lead perovskite is more often utilized. The most efficient way to get high efficiencies is to deposit perovskite from dimethyl sulfoxide (DMSO), which slows down the quick construction of the tin-iodine network that is responsible for perovskite synthesis. This is the most successful approach for achieving high efficiencies. Dimethyl sulfoxide, which is used in the processing, is responsible for the oxidation of tin, which is a disadvantage of this method. This research presents a potentially fruitful alternative in which 4-(tert-butyl) pyridine can substitute dimethyl sulfoxide in the process of regulating crystallization without causing tin oxidation to take place. Perovskite films that have been formed from pyridine have been shown to have a much-reduced defect density. This has resulted in increased charge mobility and better photovoltaic performance, making pyridine a desirable alternative for use in the deposition of tin perovskite films.
The precise control of perovskite precursor crystallization inside a thin film is of utmost importance for optimizing the efficiency and manufacturing of solar cells. The deposition process of tin-based perovskite films from a solution presents difficulties due to the quick crystallization of tin compared to the more often employed lead perovskite. The optimal approach for attaining elevated efficiencies entails using dimethyl sulfoxide (DMSO) as a medium for depositing perovskite. This choice of solvent impedes the tin-iodine network’s fast aggregation, which plays a crucial role in the production of perovskite. Nevertheless, this methodology is limited since the utilization of dimethyl sulfoxide leads to the oxidation of tin throughout the processing stage. In this thesis, we present a potentially advantageous alternative approach wherein 4-(tert-butyl) pyridine is proposed as a substitute for dimethyl sulfoxide in regulating crystallization processes while avoiding the undesired consequence of tin oxidation. Films of perovskite formed using pyridine as a solvent have a notably reduced density of defects, resulting in higher mobility of charges and improved performance in solar applications. Consequently, the utilization of pyridine for the deposition of tin perovskite films is considered advantageous.
Tin perovskites are suffering from an apparent energy band misalignment. However, the band diagrams published in the current body of research display contradictions, resulting in a dearth of unanimity. Moreover, comprehensive information about the dynamics connected with charge extraction is lacking. This thesis aims to ascertain the energy band locations of tin perovskites by employing the kelvin probe and Photoelectron yield spectroscopy methods. This thesis aims to construct a precise band diagram for the often-utilized device stack. Moreover, a comprehensive analysis is performed to assess the energy deficits inherent in the current energetic structure of tin halide perovskites. In addition, we investigate the influence of BCP on the improvement of electron extraction in C60/BCP systems, with a specific emphasis on the energy factors involved. Furthermore, transient surface photovoltage was utilized to investigate the charge extraction kinetics of frequently studied charge transport layers, such as NiOx and PEDOT as hole transport layers and C60, ICBA, and PCBM as electron transport layers. The Hall effect, KP, and TRPL approaches accurately ascertain the p-doping concentration in FASnI3. The results consistently demonstrated a value of 1.5 * 1017 cm-3. Our research findings highlight the imperative nature of autonomously constructing the charge extraction layers for tin halide perovskites, apart from those used for lead perovskites.
The crystallization of perovskite precursors relies mainly on the utilization of two solvents. The first one dissolves the perovskite powder to form the precursor solution, usually called the solvent. The second one precipitates the perovskite precursor, forming the wet film, which is a supersaturated solution of perovskite precursor and in the remains of the solvent and the antisolvent. Later, this wet film crystallizes upon annealing into a full perovskite crystallized film. In our research context, we proposed new solvents to dissolve FASnI3, but when we tried to form a film, most of them did not crystallize. This is attributed to the high coordination strength between the metal halide and the solvent molecules, which is unbreakable by the traditionally used antisolvents such as Toluene and Chlorobenzene. To solve this issue, we introduce a high-throughput antisolvent screening in which we screened around 73 selected antisolvents against 15 solvents that can form a 1M FASnI3 solution. We used for the first time in tin perovskites machine learning algorithm to understand and predict the effect of an antisolvent on the crystallization of a precursor solution in a particular solvent. We relied on film darkness as a primary criterion to judge the efficacy of a solvent-antisolvent pair. We found that the relative polarity between solvent and antisolvent is the primary factor that affects the solvent-antisolvent interaction. Based on our findings, we prepared several high-quality tin perovskite films free from DMSO and achieved an efficiency of 9%, which is the highest DMSO tin perovskite device so far.
Knowledge about causal structures is crucial for decision support in various domains. For example, in discrete manufacturing, identifying the root causes of failures and quality deviations that interrupt the highly automated production process requires causal structural knowledge. However, in practice, root cause analysis is usually built upon individual expert knowledge about associative relationships. But, "correlation does not imply causation", and misinterpreting associations often leads to incorrect conclusions. Recent developments in methods for causal discovery from observational data have opened the opportunity for a data-driven examination. Despite its potential for data-driven decision support, omnipresent challenges impede causal discovery in real-world scenarios. In this thesis, we make a threefold contribution to improving causal discovery in practice.
(1) The growing interest in causal discovery has led to a broad spectrum of methods with specific assumptions on the data and various implementations. Hence, application in practice requires careful consideration of existing methods, which becomes laborious when dealing with various parameters, assumptions, and implementations in different programming languages. Additionally, evaluation is challenging due to the lack of ground truth in practice and limited benchmark data that reflect real-world data characteristics.
To address these issues, we present a platform-independent modular pipeline for causal discovery and a ground truth framework for synthetic data generation that provides comprehensive evaluation opportunities, e.g., to examine the accuracy of causal discovery methods in case of inappropriate assumptions.
(2) Applying constraint-based methods for causal discovery requires selecting a conditional independence (CI) test, which is particularly challenging in mixed discrete-continuous data omnipresent in many real-world scenarios. In this context, inappropriate assumptions on the data or the commonly applied discretization of continuous variables reduce the accuracy of CI decisions, leading to incorrect causal structures.
Therefore, we contribute a non-parametric CI test leveraging k-nearest neighbors methods and prove its statistical validity and power in mixed discrete-continuous data, as well as the asymptotic consistency when used in constraint-based causal discovery. An extensive evaluation of synthetic and real-world data shows that the proposed CI test outperforms state-of-the-art approaches in the accuracy of CI testing and causal discovery, particularly in settings with low sample sizes.
(3) To show the applicability and opportunities of causal discovery in practice, we examine our contributions in real-world discrete manufacturing use cases. For example, we showcase how causal structural knowledge helps to understand unforeseen production downtimes or adds decision support in case of failures and quality deviations in automotive body shop assembly lines.
In many churches nowadays, there has been a standardized approach to premarital counseling for couples involving social, pastoral, and psychological perspectives. In contrast, many rabbis and other Jewish officials still concentrate on legal aspects alone. The need for resolving important issues on the verge of wedlock is too often left to secular experts in law, psychology, or counseling. However, in recent years, this lack of formal training for marriage preparation has also been acknowledged by the Jewish clergy in order to incorporate it in the preparatory period before the bond is tied. This case study focuses on Jewish and Roman Catholic conceptions of marriage, past and present. We intend to do a comparative analysis of the prerequisites of religious marriage based on the assumption that both Judaism and the Roman Catholic Church have a distinct legal framework to assess marriage preparation.
Long-term bacteria-fungi-plant associations in permafrost soils inferred from palaeometagenomics
(2024)
The arctic is warming 2 – 4 times faster than the global average, resulting in a strong feedback on northern ecosystems such as boreal forests, which cover a vast area of the high northern latitudes. With ongoing global warming, the treeline subsequently migrates northwards into tundra areas. The consequences of turning ecosystems are complex: on the one hand, boreal forests are storing large amounts of global terrestrial carbon and act as a carbon sink, dragging carbon dioxide out of the global carbon cycle, suggesting an enhanced carbon uptake with increased tree cover. On the other hand, with the establishment of trees, the albedo effect of tundra decreases, leading to enhanced soil warming. Meanwhile, permafrost thaws, releasing large amounts of previously stored carbon into the atmosphere. So far, mainly vegetation dynamics have been assessed when studying the impact of warming onto ecosystems. Most land plants are living in close symbiosis with bacterial and fungal communities, sustaining their growth in nutrient poor habitats. However, the impact of climate change on these subsoil communities alongside changing vegetation cover remains poorly understood. Therefore, a better understanding of soil community dynamics on multi millennial timescales is inevitable when addressing the development of entire ecosystems. Unravelling long-term cross-kingdom dependencies between plant, fungi, and bacteria is not only a milestone for the assessment of warming on boreal ecosystems. On top, it also is the basis for agriculture strategies to sustain society with sufficient food in a future warming world.
The first objective of this thesis was to assess ancient DNA as a proxy for reconstructing the soil microbiome (Manuscripts I, II, III, IV). Research findings across these projects enable a comprehensive new insight into the relationships of soil microorganisms to the surrounding vegetation. First, this was achieved by establishing (Manuscript I) and applying (Manuscript II) a primer pair for the selective amplification of ancient fungal DNA from lake sediment samples with the metabarcoding approach. To assess fungal and plant co-variation, the selected primer combination (ITS67, 5.8S) amplifying the ITS1 region was applied on samples from five boreal and arctic lakes. The obtained data showed that the establishment of fungal communities is impacted by warming as the functional ecological groups are shifting. Yeast and saprotroph dominance during the Late Glacial declined with warming, while the abundance of mycorrhizae and parasites increased with warming. The overall species richness was also alternating. The results were compared to shotgun sequencing data reconstructing fungi and bacteria (Manuscripts III, IV), yielding overall comparable results to the metabarcoding approach. Nonetheless, the comparison also pointed out a bias in the metabarcoding, potentially due to varying ITS lengths or copy numbers per genome.
The second objective was to trace fungus-plant interaction changes over time (Manuscripts II, III). To address this, metabarcoding targeting the ITS1 region for fungi and the chloroplast P6 loop for plants for the selective DNA amplification was applied (Manuscript II). Further, shotgun sequencing data was compared to the metabarcoding results (Manuscript III). Overall, the results between the metabarcoding and the shotgun approaches were comparable, though a bias in the metabarcoding was assumed. We demonstrated that fungal shifts were coinciding with changes in the vegetation. Yeast and lichen were mainly dominant during the Late Glacial with tundra vegetation, while warming in the Holocene lead to the expansion of boreal forests with increasing mycorrhizae and parasite abundance. Aside, we highlighted that Pinaceae establishment is dependent on mycorrhizal fungi such as Suillineae, Inocybaceae, or Hyaloscypha species also on long-term scales.
The third objective of the thesis was to assess soil community development on a temporal gradient (Manuscripts III, IV). Shotgun sequencing was applied on sediment samples from the northern Siberian lake Lama and the soil microbial community dynamics compared to ecosystem turnover. Alongside, podzolization processes from basaltic bedrock were recovered (Manuscript III). Additionally, the recovered soil microbiome was compared to shotgun data from granite and sandstone catchments (Manuscript IV, Appendix). We assessed if the establishment of the soil microbiome is dependent on the plant taxon and as such comparable between multiple geographic locations or if the community establishment is driven by abiotic soil properties and as such the bedrock area. We showed that the development of soil communities is to a great extent driven by the vegetation changes and temperature variation, while time only plays a minor role. The analyses showed general ecological similarities especially between the granite and basalt locations, while the microbiome on species-level was rather site-specific. A greater number of correlated soil taxa was detected for deep-rooting boreal taxa in comparison to grasses with shallower roots. Additionally, differences between herbaceous taxa of the late Glacial compared to taxa of the Holocene were revealed.
With this thesis, I demonstrate the necessity to investigate subsoil community dynamics on millennial time scales as it enables further understanding of long-term ecosystem as well as soil development processes and such plant establishment. Further, I trace long-term processes leading to podzolization which supports the development of applied carbon capture strategies under future global warming.
Does working in a gender-atypical occupation reduce individuals’ likelihood of finding a different-sex romantic partner, and do such occupational partnership penalties contribute to occupational gender segregation? To answer this question, we theorized partnership penalties for working in gender-atypical occupations by drawing on insights from evolutionary psychology, social constructivism, and rational choice theory and exploited the stability of occupational pathways in Germany. In Study 1, we analyzed observational data from a national probability sample (N= 1,634,944) to assess whether individuals in gender-atypical occupations were less likely to be partnered than individuals who worked in gender typical occupations. To assess whether the observed partnership gaps found in Study 1 were causally related to the gender typicality of men’s and women’s occupations, we conducted a field experiment on a dating app (N = 6,778). Because the findings from Study 2 suggested that young women and men indeed experienced penalties for working in a gender-atypical occupation (at least when they were not highly attractive), we employed a choice-experimental design in Study 3 (N = 1,250) to assess whether women and men were aware of occupational partnership penalties and showed that anticipating occupational partnership penalties may keep young and highly educated women from working in gender-atypical occupations. Our main conclusion therefore is that that observed penalties and their anticipation seem to be driven by unconscious rather than conscious processes.