TY - JOUR ED - Krah, Hans ED - Nies, Martin T1 - U-Boote, Mauern, Filmpaläste BT - ‚eigene‘ Räume und andere Welten – das Universum des Eckhard Pabst N2 - Wenn sich also Eckhard Pabst analytisch dem Universum des David Lynch oder dem des James Cameron gewidmet hat – und damit Regisseuren, die auf die eine oder andere Weise nicht oder weniger unter das Verdikt des rein Trivialen fallen, dann beschäftigt sich dieser Band homolog mit dem (akademischen) Universum des Eckhard Pabst, insofern sich die Beiträge mit Themen und Gegenständen beschäftigen, die, wie oben erläutert, sich um Räume, Welten und den darin situierten und perspektivisch als ‚eigen‘ oder ‚anders‘ validierten Individuen zentrieren. T3 - Schriften zur Kultur- und Mediensemiotik | Online - 15 Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-20589 VL - 2025 IS - 15 ER - TY - JOUR A1 - Bauer, Matthias A1 - Rössler, Reto A1 - Kasper, Nils A1 - Ernst, Christoph ED - Bauer, Matthias ED - Rössler, Reto ED - Nies, Martin T1 - Diagrammatische Praktiken N2 - Indem die Aufsätze von Nils Kasper, Christoph Ernst, Reto Rössler und Matthias Bauer sowohl wissens- und kulturgeschichtliche als auch medien- und verfahrenstechnische Fragestellungen behandeln, zeigen sie in ihrer Komplementarität das Spektrum an Denk- und Handlungsmöglichkeiten auf, das Diagramme bzw. diagrammatische Praktiken eröffnen. T3 - Schriften zur Kultur- und Mediensemiotik | Online - 14 KW - Diagrammatik KW - Projektion KW - Medienwandel KW - Heuristik KW - Grounded Theory Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-20417 VL - 2025 IS - 14 ER - TY - GEN A1 - Weithmann, Michael T1 - Passau und das Nibelungenlied T2 - Altbayerische Heimatpost : Leben und Erleben in Bayern 27/2025 N2 - The Nibelungenlied is an epic poem written around 1200 in Middle High German. Its anonymous poet was likely from the region of Passau. The current theory of the creation of the poem emphasizes the poet's concentration on the region of Passau: for example, the poem highlights the relatively unimportant figure of Bishop Pilgrim of Passau, and the poet's geographical knowledge appears much more firm in this region than elsewhere. These facts, combined with the dating, have led scholars to believe that Wolfger von Erla, Bishop of Passau (reigned 1191–1204) was the patron of the poem. KW - Nibelungenlied KW - Passau Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-20349 VL - 2025 IS - 27 SP - 10 EP - 12 PB - Passauer Neue Presse CY - Passau ER - TY - JOUR ED - Mägdefrau, Jutta ED - Kufner, Sabrina ED - Birnkammerer, Hannes T1 - Befunde und Erfahrungen zum Einsatz der Passauer Standards für Lehrkräftebildung in der Praxis N2 - Inhalt Gestufte Lehrkräftebildungsstandards in der Praxis der Hochschullehre: Befunde aus Projekten zur Weiterentwicklung der Lehre | 5 Sabrina Kufner & Jutta Mägdefrau Kompetenzentwicklung in der Lehrkräftebildung im Rahmen des studienbegleitenden fachdidaktischen Praktikums im Fach Mathematik | 11 Jakob Heller & Matthias Brandl Was bewirkt die Arbeit mit Standards? Ein Forschungsbericht aus dem Fachpraktikum Katholischer Religionsunterricht | 18 Hans Mendl, Rudolf Sitzberger, Julia Gsödl & Rebecca Schmid Der Einsatz der Lehrkräftebildungsstandards in der Lehr:werkstatt - eine Erhebung zur Identifikation von Innovationspotentialen in der Begleitung von Schulpraktika | 27 Sabrina Kufner Kompetenzentwicklung von Lehramtsstudierenden in der Konstruktion selbstregulationsförderlicher Arbeitsaufträge | 35 Jutta Mägdefrau Standardbezogene Selbsteinschätzungen von Lehramtsstudierenden zur Klassenführung im Fach Musik | 46 Gabriele Schellberg & Christina Fehrenbach Autorensteckbriefe | 59 T3 - PAradigma - 13 KW - Lehrkräftebildungsstandards KW - Schulpraktikum KW - Kompetenzentwicklung Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19839 VL - 2025 IS - 13 ER - TY - THES A1 - Fischer, Liliann T1 - An exploration of professional self concepts in science communication N2 - The dissertation explores emerging professional self concepts in the field of science communication. It integrates theories and concepts from a diverse range of disciplines from the sociology of professions to science and technology studies. It also considers organisational contexts and country specifics as major influencing factors and includes these in comparative frameworks. By triangulating data from different sources the dissertation offers broad insights not only into science communication but professionalisation more widely. T2 - eine Untersuchung beruflicher Selbstverständnisse in der Wissenschaftskommunikation KW - science communication KW - professionalisation KW - professional identity Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19817 ER - TY - THES A1 - Schiermeier, Kathrin T1 - Multidimensional Wavelets and Neural Networks N2 - The construction of scaling functions and wavelets in multiple dimensions and for arbitrary scaling matrices is a challenging task entailing some complexities. Existing approaches mainly focus on the two-dimensional case using dyadic or quincunx sampling. This thesis aims to develop a method to construct multidimensional scaling and wavelet filters yielding orthogonal scaling functions and wavelets under the usage of convolutional neural networks. We start by recalling substantial fundamentals of ideals, modules, Fourier analysis, filterbanks and multiresolution analyses, where the mentioned concepts are already considered in an arbitrary dimensional setting to prepare the proof of the main result. There, we show the connection between multivariate scaling functions and multidimensional filters possessing certain properties. This enables us to construct scaling functions and corresponding wavelets by discrete filter design. Exploiting the link between the discrete wavelet decomposition, filterbanks and neural networks, we utilize the latter to do so. Being the main difficulty of this process, we especially focus on the Cohen criterion, which concerns the zeros of the Fourier transform of the scaling filter in modulus representing a multivariate trigonometric polynomial. After transferring the Bernstein inequality for univariate trigonomic polynomials to multiple dimensions, we present a method to derive a finite set of inequality constraints implying that the Cohen criterion holds true for a given multivariate cosine sum. Afterwards, we introduce neural networks and TensorFlow as the main tools to execute the described approach, formulate the described objective as an optimization problem and present some smaller numerical experiments and their results. A second objective of this thesis is the construction of filters possessing a unimodular modulation vector and therefore the ability to be completed to a perfect reconstruction filterbank. Both - the construction and the filterbank completion - can also be considered in a neural network framework as we will detail in the last section of this thesis alongside with the presentation of corresponding numerical experiments. In the context of filterbank completion, a further observation which allows to complete any given interpolatory filter to a perfect reconstruction filterbank in a very intuitive and simple way is presented. Furthermore, we explain that any given unimodular filter can be rendered interpolatory through prefiltering. KW - Wavelets KW - Filterbanks KW - Convolutional Neural Networks Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19742 ER - TY - THES A1 - Henle, Mona T1 - Multi-Leader Congestion Games with an Adversary N2 - In this thesis, we introduced a congestion game with multiple leaders and a single follower (adversary) which is motivated by security applications with congestion effects. Our objective was to understand the result and the impact of selfish acting individuals in these games. In this regard, we analyzed the existence, the computation and the quality of (approximate) pure Nash equilibria. First, we observed that an exact pure Nash equilibrium always exists in the resulting strategic game among the leaders if the resource cost coefficients are identical and the underlying congestion game is a matroid congestion game. If one of these two conditions is not fulfilled, the existence of PNE is not ensured anymore in general. Consequently, we focused on approximate equilibria. For the case of symmetric singleton strategies, one of our main result established that K ≈ 1.1974, the unique solution of a cubic polynomial equation, is the smallest possible factor such that the existence of a K-approximate equilibrium is guaranteed for all instances of the game. To this end, we presented an efficient algorithm which computes a K-approximate PNE. Furthermore, we showed that the factor K is tight by providing an instance where no α-approximate PNE with α < K exists. However, for a specific symmetric singleton instance there might be a better α-approximate PNE, i.e., with α < K. A given instance could even admit an exact PNE. We provided therefore a polynomial time procedure that computes a best approximate PNE of a given instance. In particular, this procedure can verify the existence of an exact PNE in a given instance efficiently and, if it exists, can also determine the corresponding load vector. Finally, for symmetric singleton instances with two resources, we compared the total cost of a best (cheapest) and worst (most expensive) PNE to the total cost of an optimal outcome, termed by the price of stability and the price of anarchy, respectively. In particular, we verified that the PoS and the PoA are 4/3. KW - Congestion Games KW - Game Theory KW - Adversary KW - Spieltheorie Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19683 ER - TY - THES A1 - Ellinger, Simon T1 - On optimal error rates for strong approximation of stochastic differential equations with irregular drift coefficients N2 - In this dissertation we study strong approximation of stochastic differential equations (SDEs) with irregular drift coefficients at the final time point or globally in time by methods that use only finitely many evaluations of the driving Brownian motion. We show the optimality of well-known methods, such as the Euler-Maruyama scheme or a transformed Milstein scheme, for classes of piecewise Lipschitz continuous, Hölder continuous and Sobolev regular drift coefficients. To do this, we derive the optimal error rates for the different classes of irregular drift coefficients. Furthermore, we show that the solution of an SDE with piecewise Hölder continuous drift coefficient has a regular local density, which is used in the proofs of the lower bounds. KW - Complexity KW - Error rates KW - Stochastic differential equations KW - Non-Lipschitz drift coefficient KW - Strong approximation KW - Lower error bounds Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19634 ER - TY - JOUR T1 - Universitätsbibliothek Passau: Jahresbericht 2024 N2 - Jahresbericht der Universitätsbibliothek Passau für das Jahr 2024. T3 - Jahresbericht der Universitätsbibliothek Passau - 2024 Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19641 CY - Passau ER - TY - THES A1 - Kling, Julia T1 - Social Networking Sites as Intermediaries of Authoritarian State Propaganda: How Facebook and VK Disseminated Predominantly Kremlin-Friendly Political Content Before and During Russia’s Full-Scale Invasion of Ukraine N2 - Previous research on Russia’s use of social networking sites to influence foreign audiences has primarily focused on US-based platforms, such as Twitter and Facebook, the activities of Russia’s “troll farms”, as well as Russia’s foreign broadcasters, RT and Sputnik, and their audiences. By contrast, little research has examined the global reach of Russia’s state-aligned domestic news content, specifically on US- and Russia-based social networking sites that significantly differ in the level of the Kremlin’s control over information flows, and how the activities of novel Russian disinformation production organizations support this reach. In my dissertation, I addressed these gaps in the extant research literature in the fields of political communication, social media, and Russia studies in four distinct research papers focusing on the reach of and engagement with Russian-speaking political content, including Russia’s domestic news content, and the activities of ANO Dialog, Russia’s novel disinformation production organization with close links to the Russian government, on US-based Facebook and Russia-based VK. To do so, I used innovative qualitative, quantitative, and computational research methods to create knowledge on Russia’s informational influence on the two platforms before and after the start of Russia’s full-scale invasion of Ukraine in February 2022. The findings highlight that, despite differing levels of Kremlin control, both of the social networking sites studied functioned as conduits for the dissemination of Russian-speaking, predominantly Kremlin-friendly political content, including state-aligned domestic news. This content reached audiences both within Russia and abroad in the lead-up to and during the full-scale war in Ukraine. While VK primarily served Russia’s users, Facebook disseminated Russia’s state-aligned news mostly to audiences outside Russia, particularly in former Soviet countries, in the lead-up to the invasion. During the war, Facebook continued to host critical perspectives on Russia’s war crimes, in contrast to VK, where such content was blocked. However, Facebook was banned in Russia in March 2022, limiting domestic access to dissenting views. With the war ongoing as of May 2025 and organizations such as ANO Dialog intensifying their efforts to influence both domestic and foreign audiences on platforms such as VK and Facebook, it is likely that Russia will further strengthen its information control. KW - social networking site KW - Russia KW - propaganda KW - platform governance Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19601 ER - TY - THES A1 - Prummer, Michael T1 - Asset Tokenization and Authentication in the Industrial Metaverse N2 - The Industrial Revolution is a crucial development step in human history that started three centuries ago and is still ongoing. It continually influences and shapes the globalized world. Today, industries account for 20% of carbon dioxide emissions worldwide and require more than a third of global energy consumption. Current problems, such as climate change, increasing waste, and pollution, require simultaneous optimization across all industrial domains, infrastructure, and systems as they depend on each other. The global industry faces the immense challenges of providing for a surging world population expected to peak in the mid-2080s with 10.4 billion people, as reported by the United Nations. Hence, industries are expected to become less resource-intensive, sustainable, and more resilient to disrupted supply chains while producing for a growing population for the next decades. The Fourth Industrial Revolution, or Industry 4.0 (I4.0), started around 2010 and is still an ongoing transformation of industrial processes towards digitalization, creating smart factories referring to the digital data integration of the entire manufacturing cycle. I4.0 is incredibly information-intensive and requires immense data to simulate and predict essential operations based on a digital shadow of the factory, a so-called digital twin. The Metaverse is considered a digitalization megatrend merging digital and physical worlds, creating immersive experiences and new opportunities for interaction and innovation across various sectors and industries. The vision of the Metaverse promotes interconnected and interoperable real-time 3D virtual worlds that can be frictionlessly traversed while sustaining ownership of one's assets under a self-sovereign identity in a decentralized environment without platform lock-ins to a specific ecosystem. Therefore, the Metaverse creates an immersive parallel reality with collective virtually shared spaces for entertainment, social interactions, education, and a new working environment. The Industrial Metaverse synthesizes Metaverse concepts with current industrial automation, such as I4.0, to deepen the digital-physical convergence by interconnecting internal and external systems to enable decision-making and predictions based on significantly broader knowledge. An Industrial Metaverse factory is entirely mirrored to integrate digital twins of all types of equipment, assets, and other entities that can communicate vertically and horizontally, as well as the knowledge about relevant external systems and industrial core sectors. Through the comprehensive data integration of the Industrial Metaverse, AI-driven applications can predict future events, reducing system and hardware failures. Furthermore, the interconnected virtual environments create a meta-ecosystem for global collaboration, providing spaces for solving complex problems such as engineering and product design tasks, simulation of product twins, and reduced development time and costs. The connected industrial ecosystems create a token-based digital economy for exchanging data, assets, and services cross-metaverse connecting isolated data silos. Sharing digital twin resources and services with other systems enables new innovative applications and growing ecosystems. The theoretical part of this thesis defines the essential characteristics and key technologies of the Industrial Metaverse to derive a reference architecture for a decentralized system of systems, outlining the fundamental Industrial Metaverse building blocks. Interoperable data exchange, access management, and system communication are critical challenges. Especially interoperability of assets such as 3D files that come in different formats and identities must be ensured to move between virtual environments. The unique fusion of technologies leverages interconnected digital twins in the context of immersion, interaction, and collaboration for secure, autonomous-governed, decentralized industrial applications. Hence, the Industrial Metaverse requires the possibility of exchanging assets, products, and services across all systems in a secure manner. Distributed ledger technology enables tamper-proof transactions of assets and value in a decentralized token economy. Therefore, we investigate the feasibility of current tokenization methods for industrial assets, in particular, Printed Circuit Board (PCB) designs and 3D models. We contribute methods to create unique fingerprints of PCB designs to enable their exchange in the token economy. We investigate how to bind files in different formats and quality representations to the same token. A robust multi-file binding based on the copper layers of a PCB design was achieved by calculating an adaptive perceptual hash of all files. The adaptive perceptual hash was evaluated against numerous tamperings of the routing layout of a PCB, showing decent resistance to layout changes. The resulting adaptive perceptual hash can be used as an additional identification attribute in a tokenized asset. Furthermore, assets must be authenticatable and verifiable by marketplaces, manufacturers, and other participants to create trust in a decentralized environment. While assets can be tampered with to manipulate, for example, cryptographic hashes that link the file to the token, perceptual hashes can compute a perceived or functional similarity of two objects instead of the plain file integrity. Without the possibility of verifying and protecting intellectual property, mass adoption of the Metaverse and Industrial Metaverse is unlikely. Therefore, we contribute to detecting tampering attacks on 3D models by introducing a 3D perceptual hash that is robust to a set of mesh manipulations, enabling the trusted exchange and authentication of 3D data in the Metaverse. KW - 3D Perceptual hash KW - Industrial Metaverse Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19566 ER - TY - JOUR A1 - Köstler, Verena A1 - Wolff, Monika-Sybille ED - Sabitzer, Barbara ED - Hörmann, Corinna T1 - Promoting digital competencies in pre-service teachers : the impact of integrative learning opportunities JF - Education Sciences N2 - Offering learning opportunities for developing digital competencies in pre-service teacher education remains challenging despite its growing importance in preparing future educators. This study investigates the effectiveness of integrative learning opportunities, called “digitally enhanced courses”, which combine subject-specific and digital learning objectives. Implemented at a German university (2019–2023). These courses aimed to promote digital competencies required for technology-supported teaching. Using survey data from 312 pre-service teachers, the research examined students’ self-assessed digital competencies, technology acceptance, and value–cost assessments through multiple measurement instruments, including TPACK scales, the Technology Acceptance Model, and Expectancy–Value beliefs. Results revealed significantly higher self-assessed digital competencies in private contexts compared to teaching situations. While mere course participation showed no significant impact, both the frequency and number of attended courses positively correlated with higher self-assessed digital skills across all TPACK dimensions. Additionally, increased technology acceptance and higher success expectations were associated with enhanced teaching-related digital competencies. The findings emphasize that the effectiveness of digitally enhanced courses is contingent upon systematic implementation and student engagement, highlighting the need for structured curricular integration of digital competency development in teacher education through comprehensive, spiral-curriculum approaches rather than isolated interventions. However, this study’s reliance on self-reported data may introduce social desirability and subjective estimation bias, and its cross-sectional design limits causal interpretations. Future research should employ longitudinal approaches to examine competency development over time, incorporate objective performance-based assessments, and explore how instructional design and curricular integration influence digital competency acquisition. KW - pre-service teacher education KW - digitally enhanced courses KW - TPACK KW - technology acceptance KW - expectancy value KW - curriculum integration Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16854 SN - 2227-7102 VL - 15 (2025) IS - 3 PB - MDPI CY - Basel ER - TY - THES A1 - Danner, Julian T1 - SAT Solving Using XOR-OR-AND Normal Forms and Cryptographic Fault Attacks N2 - The Boolean satisfiability problem (SAT) lies at the core of computational logic and has found many applications in verification, cryptography, and artificial intelligence. While conflict-driven SAT solvers (CDCL) excel on large industrial instances, they struggle with XOR-rich instances arising frequently in cryptanalysis, due to the inefficiency of CNF encodings of linear constraints. Conversely, algebraic approaches can work with linear XOR constraints naturally but fail to scale to relevant sizes. Bridging these complementary paradigms with a focus on cryptographic problems is at the heart of this thesis. On one hand, this dissertation advances SAT solving by introducing the XOR-OR-AND normal form (XNF) as a generalization of the conjunctive normal form (CNF), where literals are replaced by XOR chains of literals. This allows for a native representation of XOR constraints. We generalize the CDCL architecture to the richer language of XNFs. The underlying reasoning based on the proof system SRES which is shown to be exponentially stronger than classical resolution. An implementation demonstrates competitive performance and often surpasses state-of-the-art algebraic and logic solvers on random and cryptographic benchmarks. Furthermore, we prove that every XNF formula can be converted in polynomial time to a formula in 2-XNF, enabling a graph-based approach similar to 2-SAT. Building on this, we propose advanced in- and pre-processing techniques, and construct a simple DPLL-based solving framework. Our implementation, 2-Xornado, outperforms modern algebraic and logic solving approaches on many random and some structured cryptographic problems. On the other hand, we apply combined algebraic and logical techniques to cryptanalysis of stream ciphers. We introduce a formal guess-and-determine (GD) framework using a logical abstraction of the information flow in the internal state. From an algebraic point of view, we can then find optimal GD attacks utilizing a Gröbner basis. As a case study, we apply this method to aid in the construction of novel fault attacks on the ciphers KCipher-2 and Enocoro-128v2. Using ad hoc methods combining algebraic and logical approaches, we show that both ciphers are vulnerable to active side-channel attacks under rather weak fault models. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19171 ER - TY - JOUR A1 - Hofstadler, Julian T1 - Optimal convergence rates of MCMC integration for functions with unbounded second moment JF - Journal of Applied Probability N2 - We study the Markov chain Monte Carlo estimator for numerical integration for func- tions that do not need to be square integrable with respect to the invariant distribution. For chains with a spectral gap we show that the absolute mean error for L^p functions, with p ∈ (1, 2), decreases like n^(1/p)−1 , which is known to be the optimal rate. This improves currently known results where an additional parameter δ > 0 appears and the convergence is of order n^((1+δ)/p)−1 . KW - Markov chain KW - Monte Carlo KW - spectral gap KW - absolute mean error Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19310 VL - 62 (2025) IS - 3 SP - 1069 EP - 1075 PB - Cambridge University Press CY - Cambridge ER - TY - JOUR A1 - Gishboliner, Lior A1 - Glock, Stefan A1 - Sgueglia, Amedeo T1 - Tight Hamilton cycles with high discrepancy JF - Combinatorics, Probability and Computing (1469-2163) N2 - In this paper, we study discrepancy questions for spanning subgraphs of k-uniform hypergraphs. Our main result is that, for any integers k ≥ 3 and r ≥ 2, any r-colouring of the edges of a k-uniform n-vertex hypergraph G with minimum (k−1)-degree δ(G) ≥ (1/2+o(1))n contains a tight Hamilton cycle with high discrepancy, that is, with at least n/r +� (n) edges of one colour. The minimum degree condition is asymptotically best possible and our theorem also implies a corresponding result for perfect matchings. Our tools combine various structural techniques such as Turán-type problems and hypergraph shadows with probabilistic techniques such as random walks and the nibble method. We also propose several intriguing problems for future research. KW - Discrepancy KW - tight Hamilton cycles KW - random walks KW - nibble method Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19166 SN - 1469-2163 VL - 34 (2025) IS - 4 SP - 565 EP - 584 PB - Cambridge University Press CY - Cambridge ER - TY - THES A1 - Hagen, Pamina T1 - The 2008 Beijing Olympic Games as a City and Nation Branding Tool: An Interdisciplinary Analysis of the Image of International Opinion Leaders N2 - This dissertation examines the 2008 Beijing Olympic Games as a tool of city and nation branding, analyzing their role within China's broader soft power strategy and their impact on international perceptions of Beijing and China. Drawing from urban geography, political geography, international relations, and marketing theory, the study explores how mega-events contribute to the construction of national identity and global image. Using a mixed-methods approach, the research combines qualitative interviews with 16 international diplomats in Beijing and an online survey of 40 foreign journalists who lived and worked in China during the Olympiad. The analysis focuses on two dimensions of image: the city of Beijing and the nation of China. The findings indicate that the 2008 Summer Olympic Games did not fundamentally alter China's international image. While the event successfully projected an image of modernization, efficiency, and confidence, pre-existing concerns about political control and human rights persisted. For Beijing, the Olympics enhanced its visibility as a global city but also highlighted tensions between its traditional identity and its modern aspirations. The media's framing played a decisive role in shaping these perceptions. Overall, the study concludes that the Beijing Olympics functioned as a significant yet limited instrument of soft power. They reinforced China's global presence and urban development goals but fell short of transforming its international reputation. The research contributes to understanding how mega-events operate as strategic tools of geopolitical communication and branding in the context of globalization. KW - Beijing 2008 Summer Olympic Games KW - Nation Branding KW - City Branding KW - International Image KW - Public Diplomacy Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19052 ER - TY - JOUR A1 - Rehbein, Malte A1 - Escobari, Belen A1 - Fischer, Sarah A1 - Güntsch, Anton A1 - Haas, Bettina A1 - Matheisen, Giada A1 - Perschl, Tobias A1 - Wieshuber, Alois A1 - Engel, Thore T1 - Quantitative and qualitative data on historical vertebrate distributions in Bavaria 1845 JF - scientific data N2 - Archival collections contain an underutilized wealth of biodiversity data, encapsulated in government files and other historical documents. In 1845, the Bavarian government conducted a comprehensive national survey on the occurrence of 44 selected vertebrate species across the country. The detailed expert responses from 119 forestry offices, totalling 520 handwritten pages, have been preserved in the Bavarian State Archives. In this study, we digitized, annotated, geographically referenced, and published these historical records, making them widely available as data for research and conservation planning. Our dataset, openly accessible through the Global Biodiversity Information Facility (GBIF) and Zenodo, contains 5,467 species occurrence records from 1845. Besides the binary presence/absence data, we have also published the original textual survey responses, which contain rich qualitative information, such as species abundances, population trends, habitats, forest management practices, and human-nature relationships. This information can be further processed and interpreted to address a range of questions in historical and contemporary ecology. KW - Biodiversity KW - Forestry KW - History KW - Interdisciplinary studies Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2506092137360.319993244702 VL - 2025 PB - Springer Nature CY - Berlin ER - TY - THES A1 - Fellicious, Christofer T1 - Bridging the gap: Applying machine learning techniques in digital forensics N2 - With the increasing adoption of virtualization technologies across various industries, virtual machines (VMs) offer cost-effective solutions for obtaining computing power without the burden of initial investment or ongoing maintenance. However, the widespread use of VMs also increases the risk of malicious actors attempting to gain unauthorized access due to the possibility of accessing the VMs via standard internet protocols. Virtual Machine Introspection (VMI) and Forensic Memory Analysis (FMA) are two key cybersecurity methods for addressing these threats. While FMA leverages digital forensic techniques to extract and analyse information from system memory to explain security incidents, VMI typically works with live systems, analysing running processes to detect real-time threats. Both approaches face a significant challenge known as the ”semantic gap,” which arises from the need to infer high-level system information from low-level data such as physical memory and CPU registers. This dissertation explores using machine learning to bridge the semantic gap in FMA and VMI applications. The research uses OpenSSH process heap dumps as a use-case to extract high-level structures, such as OpenSSH encryption keys, from raw process memory dumps. The study employs various techniques to isolate relevant memory sections, from basic memory chunking and entropy analysis to more advanced methods utilizing pointers and malloc headers. During this research study, we also identified the need for a foundation model in memory forensics. Foundation models are general purpose models trained on large amounts of data and users can later use these models to perform different tasks by finetuning the model. This research also addresses the challenge of detecting malware by analysing system-level API calls and employing custom feature engineering techniques. Given that the threat landscape is constantly evolving, we also investigate concept drift — a phenomenon where input data distribution changes affect predictive models’ performance. To mitigate the degradation in performance due to concept drift, we introduce a concept drift detection algorithm complemented by a custom sampling method that optimizes training data selection. This approach reduces the training dataset size by one-third, enhancing the efficiency of model training while maintaining high performance. KW - semantic gap KW - virtual machine introspection KW - forensic memory analysis Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18473 ER - TY - GEN A1 - Hikel, Kerstin B. A1 - Kigathi, Rose A1 - Kellermann, Anna A1 - Onyango, Steve A1 - Schmitt, Christine B. T1 - Seed catalogue of woody species from coastal Kenya N2 - Kenyan coastal forests harbor a high diversity of woody plants, comprising 88 families and 937 species. These species-rich forests are highly threatened by human disturbances, leading to forest degradation and habitat loss. To preserve this biodiversity, effective conservation strategies are essential. Conservation efforts may involve both site-based and species-based measures, including botanical surveys and seed collection for propagation in tree nurseries. The aim of this study was to develop a seed catalogue of woody species from coastal Kenya to support seed identification in the field and at various tree nurseries. So far, the catalogue characterizes seeds (and if available also fruits) of 69 woody species across 31 plant families. Each entry includes a brief description, size and weight measurements, and photographs to facilitate identification. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19040 ER - TY - THES A1 - Zerhoudi, Saber T1 - User Simulation in Interactive Information Retrieval : methods and frameworks for simulating complex search behavior N2 - Modern information retrieval (IR) systems, including web search engines and digital libraries, face challenges in simulating realistic user search behavior. Evolving interaction patterns and the integration of AI-powered interfaces make these challenges even harder. Traditional evaluation methods struggle to capture the dynamic nature of user interactions, particularly in complex search tasks and multi-stage information-seeking processes. User simulation offers a promising solution, providing a controlled environment for experimentation and allowing customization to model specific user behaviors and task contexts. This research develops advanced techniques for user simulation in IR, creating more realistic and dynamic models than were previously possible. Key contributions include new methods for representing query reformulation, modeling how information needs change, and measuring the impact of different search environments on simulated user behavior. Specifically, this work introduces contextual Markov models, cognitive state models, and embedding space alignment techniques to accurately represent interactive search behavior. Beyond model development, new evaluation methods and metrics are proposed for assessing the quality of simulated search sessions. These include statistical comparisons of session characteristics and classification-based approaches to distinguish between simulated and real user behavior. Additionally, this work leverages emerging technologies, such as large language models (LLMs) and retrieval-augmented generation, to improve the realism of user search behavior simulation. The practical outcome of this research is a modular and extensible simulation framework. This framework incorporates advanced techniques like user type-specific Markov models, advanced query generation using LLMs, and conversational user models. KW - Information retrieval KW - user simulation KW - evaluation KW - simulation framework Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18936 N1 - Die Leerseiten iii, iv, vi(i), x, xi sind nicht Teil des Dokuments. ER - TY - THES A1 - Klement, Felix T1 - Strengthening Security Foundations in Next-G Wireless Telecommunication Systems N2 - Digital transformation fundamentally impacts our everyday lives and creates significant efficiency gains in the economy. At the same time, however, it is also increasing the complexity of wireless networks, particularly in the case of the sixth generation (6G) mobile communications standard. The use of different technologies in these networks poses an increasing challenge and increases the risk of security threats and vulnerabilities. Wireless communication networks are particularly vulnerable to cyber attacks as they are an integral part of critical infrastructures. Robust methods must, therefore, be developed to overcome these challenges. Consequently, this dissertation is focused on the security fundamentals of next-generation (Next-G) wireless telecommunication systems. It addresses the security challenges resulting from emerging and innovative concepts within these systems. We use case studies for in-depth investigation and analysis, with a particular focus on the Open Radio Access Network (O-RAN) approach. The aim of this concept is to enable open and interoperable network architectures, in contrast to traditional RAN systems, which are often proprietary and manufacturer-specific. In this respect, it is essential to address fundamental questions, like the efficient assessment of the threat landscape, the impact of potential attacks, and the mechanisms that can be used to ensure security at the system level. Initially, an empirical approach is developed to analyze threats within telecommunications systems, such as the O-RAN. The procedure we have developed enables automated, programmatically executable vulnerability management. This methodology is further enhanced by integrating Natural Language Processing (NLP), leading to the creation of a fully automated, iteratively executable framework for security analysis within O-RANs. The framework allows for the direct incorporation of our methods into the deployment process, facilitating rapid and efficient comparison of all components against the latest security vulnerabilities. The current approach of fully deploying all components in virtualized environments, such as cloud infrastructures, introduces new and unprecedented security challenges. In response, we investigate current deployment strategies within the O-RAN infrastructure and establish best practices to mitigate these security issues. In the course of the dissertation, we identify security vulnerabilities in wireless telecommunication systems by executing different attack scenarios. We present a detailed procedure for carrying out the attacks as well as effective methodologies for detecting or avoiding the vulnerabilities we have identified. In the first study, we analyze the security of a key component, the Near-Real-Time RAN Intelligent Controller (Near-RT RIC), within O-RAN. We show how a subscription Denial of Service (DoS) attack can render current implementations of this component unusable. In the second analysis, we investigate the robustness of new standards in wireless networks against jamming attacks using the open-source connectivity standard Matter. The final section of this dissertation explores innovative security research approaches for enhancing the system security of future communication systems. Initially, a novel concept is introduced that facilitates the comprehensive and efficient management and assurance of security within O-RAN systems through the use of Security Platforms (SPs). Furthermore, two developed methodologies for this approach are presented: firstly, a method for programmatically analyzing eXtended Applications (xApps) to identify vulnerabilities, and secondly, an approach for conducting comparative assessments of these vulnerabilities. Additionally, a strategy is proposed to ensure that only secure xApps, such as those that have been pre-tested, are deployed for use in Near-RT RIC. Overall, this dissertation makes an important contribution to the research of security principles for next-generation wireless telecommunication systems. With the help of our approaches for a better and more concrete assessment of threats in such networks, we directly contribute to a clearer and better manageable picture of the vulnerability landscape. Our two publications on vulnerability research also provide valuable insights for securing future problems in the respective areas. In summary, with our approaches to system security, with which security principles can be implemented and integrated into modern system approaches such as O-RAN, we contribute to ensuring a secure transition to 6G. KW - Security KW - Next-G KW - 6G KW - Open RAN Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18669 ER - TY - GEN A1 - Schuster, Jennifer A1 - Kott, Annette A1 - Bauer, Christoph A1 - Groß, Rainer T1 - Kennzahlenkatalog Green IT an bayerischen Hochschulen N2 - "Der vorliegende, mit den bayerischen Hochschulen und Universitäten abgestimmte Kennzahlenkatalog für Green IT, dient als Grundlage, um einheitlich Kennzahlen für die bayerischen Rechenzentren zu erfassen und damit einen nachhaltigen IT-Betrieb der Hochschulen zu unterstützen. Durch die Implementierung und Erfassung dieser Kennzahlen werden, die ökologischen Auswirkungen der IT messbargemacht. Dies ermöglicht die Wirksamkeit von Maßnahmen quantitativ zu überprüfen und den IT-Betrieb in eine ökologisch nachhaltige Richtung zu steuern. Im Rahmen des Energieeffizienzgesetzes wird das Einsparen von Energie und Treibhausgasen auch für Hochschulen zunehmend verbindlicher. Der Katalog beschreibt die im Energieeffizienzgesetz geforderten Kennzahlen, enthält eine strukturierte Vorgehensweise zur Implementierung und unterstützt dabei die gesetzlichen Anforderungen einzuhalten." (S. III) KW - Informationstechnologie KW - Rechenzentrum KW - Hochschulen KW - Energieeffizienzgesetz Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18675 ER - TY - BOOK A1 - Rottgeri, André T1 - Interpretationen & Konflikte in der Populären Musik - Heino, Gainsbourg, Hendrix und die Seleção : eine interdisziplinäre Untersuchung mit Blick auf die Namenkunde N2 - - KW - Populäre Musik KW - Popular Music Studies KW - Populäre Musik Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18648 ER - TY - THES A1 - Lehner, Constanze T1 - Three Essays on the Interpretability of Random Forests: Methods, Insights, and Innovations N2 - This thesis examines the interpretability of random forests in three essays, focusing on the discussion of established methods, the presentation of new insights and the provision of innovations. The research aims to bridge the gap between traditional statistical methods and random forests, a data-driven machine learning algorithm, by investigating the ability of random forests to adequately model theoretical concepts compared to parametric methods and developing a new approach for statistical hypothesis testing. The results have implications for various areas of research in which interpretability is crucial for applications. The next three paragraphs summarize the studies presented in this thesis. The ability of random forests to automatically model interactions without the need for pre-specification is mentioned prominently in many articles and book chapters. Promising empirical results from early work on random forests have substantiated this property, which has led to an increasing popularity of using random forests in the presence of interactions as an alternative to traditional parametric methods. This study reviews the literature of the last 20 years on random forests and interactions. We explore the discussion from its origin in the decision tree literature to early applications of random forests and current research. We identify key research areas and illustrate random forest applications to highlight similarities and differences between disciplines. We also provide a critical examination of the arguments in favor of random forests being able to model interactions automatically. Since the term ``interaction'' is associated with different theoretical concepts, we explain and illustrate the definition of interaction for each research area. The variable importance of random forests is an easy-to-understand metric that intends to make the predictions of random forests more transparent by assessing the contribution of each covariate to the prediction of the response. However, due to its data-driven nature, the variable importance of random forests may over- or underestimate the importance of a covariate, so that the role of the covariate in the underlying data generating process is not correctly reflected. We present an example of underestimation of importance in the case of interacting covariates. We define an interaction in terms of effect modification, which assumes that the effect of one covariate on the response is modified by values of another covariate. We show that the variable importance of random forests is influenced by the interaction form and the measurement scale of the interacting covariates, so that in some cases the importance of one or even both interacting covariates is underestimated. We illustrate how the split decisions of random forests affect the variable importance values of the interacting covariates. Variable importance estimates the contribution of a covariate to the performance of a predictive algorithm. Defined as the increase in loss after the random permutation of a covariate, permutation variable importance makes it possible to rank the covariates by importance, but in the absence of a threshold, the distinction between important and unimportant covariates is inherently arbitrary. We show that recent approaches of non-parametric permutation tests for variable importance exceed their nominal type I error level for mutually dependent covariates. As an alternative we propose a combined variable importance estimate on a sequence of permutations and employ a computationally more efficient bootstrap to derive the respective null distribution and $p$-values. The proposed test can be applied to any predictive algorithm and is remarkably fast. We investigate the control of type I error level and the power of the proposed variable importance test in simulation studies. Even for mutually dependent covariates, our test is conservative and provides power comparable to recent advances in non-parametric permutation tests of variable importance. This study was conducted in collaboration with Matthias Wild. KW - Random Forests KW - Interactions KW - Variable Importance KW - Permutation Test Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18608 ER - TY - THES A1 - Dietrich, Philip T1 - Moralische Entscheidung in virtuellen Handlungswelten. Verantwortliche Vermittlung gesellschaftlich relevanter Themen im Videospiel N2 - Die vorliegende Arbeit untersucht die verantwortliche Vermittlung gesellschaftlich relevanter Themen im Medium des digitalen Spiels. Als generationenübergreifendes und interaktives Medium eröffnen digitale Spiele durch die Verknüpfung von Narration und Interaktion die Möglichkeit, alternative Perspektiven einzunehmen und neue Rollen zu erproben. Auf Basis von vier Teilstudien wird der Frage nachgegangen, wie gesellschaftlich bedeutsame Inhalte in digitalen Spielen verantwortungsvoll gestaltet und vermittelt werden können. Die erste Teilstudie identifiziert zentrale Nutzungsmotive und weist Spielende als potenzielle moralische Handlungsträger (Moral Agents) aus. Sie zeigt auf, dass moralische Dilemmata, die innerhalb virtueller Spielwelten erfahren werden, Relevanz für moralische Urteilsbildungsprozesse in der realen Welt entfalten können. Die zweite Teilstudie knüpft an diese Erkenntnisse an und untersucht anhand von Expert:inneninterviews das Potenzial digitaler Spiele für eine digitale Erinnerungskultur. Die dritte Teilstudie entwickelt ein Modell für die gelingende Vermittlung gesellschaftlich relevanter Themen im digitalen Spiel. Hierbei wird insbesondere die integrative Funktion von Narration und Interaktion als zentrales Gestaltungsprinzip herausgestellt. Die vierte Teilstudie erweitert dieses Modell um die Dimension der Ästhetik, die als konstitutives Element der Wirklichkeitswahrnehmung und Sinnkonstitution innerhalb virtueller Spielräume fungiert. Die Ergebnisse verdeutlichen, dass für eine verantwortungsvolle Vermittlung gesellschaftlich relevanter Inhalte im digitalen Spiel eine digitale Moral Agency erforderlich ist. Diese befähigt Spielende dazu, moralisch zu handeln und das eigene Handeln kritisch zu reflektieren. Die Verbindung von Narration und Interaktion erweist sich dabei als zentrales Mittel zur Initiierung von Perspektivwechseln, zur Übernahme fremder Rollen und zur Förderung reflexiver Prozesse. Ästhetisierungsprozesse innerhalb der Spielwelten tragen wesentlich dazu bei, diese kognitiven und affektiven Auseinandersetzungen anzustoßen und zu vertiefen. KW - Game Studies KW - Medienethik KW - Videospielforschung KW - Kommunikationswissenschaft KW - Digitales Lernen KW - Spielwissenschaft KW - Medien KW - E-Learning KW - Videospiel KW - Ethik Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18481 ER - TY - THES A1 - Rutter, Eva T1 - Berufswahlmotivation Lehramt: Ein weltweit ähnliches Phänomen? Eine international vergleichende Studie N2 - Im Angesicht eines weltweiten Lehrkräftemangels (OECD, 2018b; UNESCO, 2023) wird in der empirischen Forschung der Berufswahlmotivation Lehramtsstudierender ein großer Stellenwert beigemessen (Butler, 2017). Es handelt sich beim Lehrkräftemangel aktuell um ein weltweites Phänomen, das weder nur Deutschland oder nur westliche Länder betrifft (UNESCO, 2023). In den letzten zwanzig Jahren haben sich einige theoretische Modelle zur Berufswahlmotivation spezifisch für das Lehramt etabliert, dazu zählen das FIT-Choice-Projekt (Richardson und Watt, 2007), Femola (Retelsdorf und Möller, 2012) und STeaM (Weiß und Kiel, 2013). In dieser Arbeit wird das FIT-Choice-Modell (Richardson und Watt, 2007) verwendet, um die Berufswahlmotive eines internationalen Samples Lehramtsstudierender zu zwei Zeitpunkten zu betrachten. Das Modell stellt mit seinen Bezugstheorien (Eccles und Wigfield, 2002; Ryan und Deci, 2000) sowohl die theoretische als auch die empirische Fundierung dieser Arbeit dar. Neben diesem werden Professionalisierungstheorien (vor allem der kompetenztheoretische Ansatz nach Baumert und Kunter, 2011a) und die Habitustheorie (Bourdieu, 1982) zur Interpretation der Ergebnisse herangezogen. Strukturmerkmale der einzelnen Länder ermöglichen ein kultursensitives Vorgehen. Zu zwei Zeitpunkten (Studienbeginn und Studienende) wurden an 5 Universitäten in Deutschland, Österreich, der Schweiz, Südafrika und Israel mit einem Skalenfragebogen insgesamt n= 1157 Studierende (Studienbeginn n= 835, Studienende n= 322) zu ihren Berufswahlmotiven und Einstellungen befragt. Diese wurden in Zusammenhang gebracht mit der Länderzugehörigkeit, ihrer sozialen Herkunft sowie ihren pädagogischen Vorerfahrungen. Zudem wurden im deutschen Sample zum Ende des Studiums offene Fragen ergänzt, um Begründungslinien für die Berufswahl in Erfahrung zu bringen. Mit dem spezifischen Sample wurde das Desiderat der Ländererweiterung um nicht- westliche Länder (Watt, Richardson und Smith, 2017) bearbeitet, ebenso mit den offenen Fragen das Desiderat nach der Verbindung von quantitativen und qualitativen Ansätzen (Watt und Richardson, 2015). Mit der Arbeit können die Hauptergebnisse der Forschung mit den FIT-Choice-Skalen bestätigt werden. Die Betrachtung von Subgruppen innerhalb der Länder gab einen Einblick zu Berufswahlmotiven marginalisierter Gruppen und den Grenzen von global anzuwen-denden (westlichen) Erhebungsinstrumenten. Die Arbeit leistet außerdem einen Beitrag zum Diskurs um den Einfluss von pädagogischen Vorerfahrungen in der Berufswahlmotivationsforschung, zudem werden Ergänzungen für den FIT-Choice-Fragebogen für die „Gen Z“ vorgeschlagen. KW - Berufswahlmotivation KW - internationaler Vergleich KW - FIT-Choice-Modell Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18464 ER - TY - THES A1 - Poliakoff, Serge T1 - From Faking Online Content to Orchestrating Its Creation by Public Workers: Examining Russian Disinformation Production Organisations through Curriculum Vitae Analysis (2013-2024) N2 - This dissertation examines the evolution of Russian digital authoritarianism, focusing on its organisations that produce disinformation, the transition from the Internet Research Agency to the Patriot Media Group and the emergence of ANO Dialog. It shows how the Internet Research Agency operated as a sophisticated "troll farm" during the early stages of the Russo-Ukrainian war, with activities similar to those of a PR firm. The Patriot Media Group absorbed these activities, blurring the lines between media and disinformation and prioritising metrics-driven propaganda over journalistic professionalism. This dissertation identifies the organisation ANO Dialog as a new model, heavily integrated with state structures, combining digital surveillance, repression, and Soviet-style agitation adapted to the digital age. Using a novel methodology of career profile collection and analysis, my research illustrates the institutionalisation and regional expansion of disinformation tactics in Russian digital authoritarianism, highlighting its operational adaptability and evolving infrastructure. KW - disinformation KW - disinformation-for-hire KW - troll farm KW - troll factory KW - propaganda KW - propaganda organisations KW - disinfromation production organisations KW - CV analysis Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16100 ER - TY - THES A1 - Springer, Simone Maria T1 - Lehramtsstudierende auf ihrem Weg der Professionalisierung BT - subjektive Vorstellungen von Professionalisierung aus der Sichtweise Studierender des Lehramts Grundschule an der Universität Passau mit unterschiedlichen Praktika - eine qualitative Studie N2 - Die vorliegende Studie untersucht subjektive Vorstellungen von Professionalisierung aus Sicht Studierender des Lehramts Grundschule an der Universität Passau im Rahmen unterschiedlicher Praktikumsformen: Pädagogisch-didaktisches Praktikum (PDP), Exercitium Paedagogicum (ExPaed) und Modellcurriculum (MC). Aus der Theorie heraus wurden zwei Hauptkategorien der Studie abgeleitet: Kategorie I - Inwiefern unterscheiden sich die subjektiven Sichtweisen Studierender unterschiedlicher Praktika (PDP, ExPead, MC) auf Professionalisierung? Und Kategorie II - Inwiefern unterscheidet sich die systematische Reflexion der individuellen Professionalisierung von Studierenden unterschiedlicher Praktika (PDP, ExPaed, MC)? Durch diese drei Gruppierungen ist es möglich, verschiedene Perspektiven zu berücksichtigen und Unterschiede herauszuarbeiten. Die leitfaden-gestützten ExpertInneninterviews (n = 27: 8 PDP, 10 ExPaed, 9 MC) wurden mit dem Programm f4 transkribiert und mit Hilfe der Datenanalyse-Software MAXQDA (2020/2022) inhaltsanalytisch nach Mayring (2015) ausgewertet. Ergebnisse der Studie zeigen Abweichungen der einzelnen Studierendengruppen bezüglich biografischer Ausgangslagen für Professionalisierung. StudentInnen der einzelnen Gruppierungen nehmen Professionalisierung im systemisch-strukturellen Rahmen in Form von Praktika anders war, zeigen Unterschiede im professionellen Selbstverständnis und in den subjektiven Einflussfaktoren für Professionalisierung. Auch in der systematischen Reflexion der eigenen Professionalisierung können Diskrepanzen eruiert werden. KW - Professionalisierungsforschung KW - Profigrafiemodell KW - Lehramtsstudium KW - Modellcurriculum Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16120 ER - TY - THES A1 - Sawhney, Udit T1 - Incentivizing Sustainable Agriculture in Indonesia: Empirical Essays on the Role of Social Norms and Information Provision N2 - The Green Revolution (GR) was one of the most transformative events in modern agricultural history. It was characterized by the widespread adoption of high-yield crop varieties, synthetic fertilizers and pesticides, and advanced irrigation systems. By significantly increasing agricultural productivity, the GR responded to global food shortages and hence played a crucial role in educing hunger, particularly in developing economies. However, while the GR alleviated food insecurity and stimulated economic development, it also brought about several unintended consequences like environmental degradation, as well as, widening socio-economic inequalities. Farmers, particularly in South and Southeast Asia, indulged heavily in fertilizer overapplication, which led to declining soil health and long-term sustainability concerns. Recognizing these challenges, the United Nations’ Sustainable Development Goals (SDGs) placed significant emphasis on sustainable agriculture, particularly through SDG - 2, which seeks to end hunger and promote sustainable food production. In line with these efforts, there has been a growing movement by several countries and international organizations towards promoting sustainable agricultural practices that balances agricultural productivity with environmental conservation. This dissertation contributes to this discourse on sustainable agriculture by examining key socio-economic factors that influence the adoption of sustainable farming practices among smallholder farmers in Indonesia. Indonesia’s agricultural landscape, particularly its rice farming sector, has been shaped by decades of Green Revolution policies, with Java serving as a focal point for agricultural intensification. While these policies led to impressive yield increases and national self-sufficiency in rice production by the mid-1980s, they also resulted in several environmental and economic challenges, including excessive use of chemical fertilizers, soil nutrient imbalances, and long-term land degradation. In response, the Indonesian government introduced several sustainability-focused policies, including Integrated Pest Management (IPM), Farmer Field Schools (FFS), and the “Go Organic 2010” initiative. Despite these efforts, adoption of sustainable farming practices remains limited, raising critical questions about the barriers that prevent smallholder farmers from transitioning away from intensive chemical input use. The dissertation focuses on three interrelated research questions that explore the role of social networks, information provision, and economic incentives in shaping farmers’ decisions regarding sustainable agriculture. These questions are addressed through a combination of mixed-methods research and randomized controlled trials (RCTs) conducted in Java, specifically in the regions of Yogyakarta and Tasikmalaya. The first research question investigates whether and how social networks and peer effects influence farmers’ input decisions, particularly regarding fertilizer application. This study builds on existing literature on social networks in agriculture and examines the extent to which perceptions of farming norms - the visible greenness levels of rice plants - affect farmers’ willingness to adopt more sustainable practices. Using a mixed-methods approach, including survey experiments and social network analysis, the study finds that personal opinions about the importance of plant greenness significantly influence farmers’ input decisions. However, second-order perceptions - farmers’ beliefs about how others in their farming network think about their farming choices - do not play a decisive role in shaping actual adoption behaviour. This finding contrasts with previous studies that emphasize the role of social pressure in agricultural decision-making, suggesting that while social learning plays an important role, it does not always operate through peer-effect mechanisms. The results highlight the complexity of social influences in agricultural adoption decisions and the need for more nuanced approaches to integrating behavioural insights into policy interventions. The second research question investigates the role of information provision, particularly about site-specific nutrition, in promoting sustainable soil management practices among smallholder farmers. A large-scale RCT was conducted in 69 villages to assess whether targeted agricultural extension trainings, along with soil testing services, can drive farmers’ adoption of sustainable soil management practices. Villages were randomly assigned to - a treatment group (T1) that received one-day training on soil health management, a second treatment group that received both training and soil tests (T2), and a control group. The study reveals that while training sessions increased awareness and adoption of simple sustainable practices - such as the use of the Leaf Colour Chart (LCC) - there was limited impact on broader behavioural changes, such as the adoption of organic fertilizers or precision fertilizer application. However, the additional provision of soil testing led to measurable reductions in nitrogen fertilizer use while simultaneously increasing yields, demonstrating the potential for personalized, site-specific soil nutrient recommendations to improve both economic and environmental outcomes. A cost-benefit analysis reveals that additional day of soil testing training resulted in an average economic gain of USD 15.71 per farmer and also reduced CO2 emissions by approximately 2 kg per farmer. These findings highlight the potential for scalable, information-based interventions as well as the need for sustained follow-up support to reinforce behavioural changes among farmers. The third research question explores farmers’ willingness to pay (WTP) for soil testing services and compares two different market-dissemination models - a private service model (where farmers purchase individual soil tests) and a collective (club good) model (where farmer groups collectively purchase a soil testing kit). Using an incentive-compatible auction based on the Becker- eGroot-Marschak (BDM) method, the study finds that farmers are willing to pay approximately 43% of the actual cost of soil tests, indicating strong demand for personalized soil fertility information. Furthermore, there is no significant difference in WTP between the private and club good models, suggesting minimal free-riding behaviour within farmer groups. The qualitative data further suggests that group-based models foster a sense of joint responsibility and knowledge-sharing, making them a viable alternative to individual service provision. A deeper analysis reveals that while private service models are more effective in low-subsidy environments, club good models become preferable when subsidies are higher, offering valuable insights into cost-sharing mechanisms for agricultural policy design. Taken together, the findings of this dissertation have important implications for policymakers seeking to promote sustainable agricultural practices in developing economies. First, the dissertation highlights the nuanced role of social networks in shaping farmers’ adoption decisions, suggesting that interventions targeting social learning should account for the complexity of social networks and peer influence mechanisms. Second, the dissertation underscores the importance of integrating soil testing and personalized information into agricultural extension programs, as site-specific soil nutrient recommendations can enhance both farming productivity as well as environmental sustainability. Third, the study provides empirical evidence on cost-effective ways to scale up soil testing services, demonstrating that well- esigned market-dissemination strategies can increase farmers’ access to sustainability-enhancing technologies while maintaining financial viability. Beyond its immediate policy relevance, this dissertation also contributes to broader theoretical debates in development economics, agricultural economics, and environmental sustainability. By integrating experimental research methods, the dissertation advances understanding of how farmers make technology adoption decisions under conditions of uncertainty and social influence. Additionally, the study provides a methodological contribution by demonstrating the effectiveness of combining RCTs with qualitative approaches to capture the complexities of real-world decision-making. Despite its contributions, the dissertation also identifies several avenues for future research. One key limitation is that the analysis focuses primarily on short - to medium-term impacts, leaving open questions about the long-term sustainability of behaviour change. Future studies should explore whether farmers continue to adopt sustainable practices once external support is removed. Additionally, further research is needed to examine the role of digital agricultural advisory services, mobile-based soil testing platforms, and remote sensing technologies in complementing traditional extension services. Finally, more work is needed to explore the broader policy ecosystem surrounding agricultural sustainability, including the role of subsidies, market linkages, and certification schemes in incentivizing long-term adoption. In conclusion, this dissertation provides a comprehensive analysis of the social, informational, and economic factors that drive sustainable agricultural transitions in Indonesia. By offering evidence-based insights into the design of more effective extension programs, market dissemination strategies, and cost- haring mechanisms, it contributes to ongoing efforts to create more resilient and environmentally sustainable food systems. The findings are not only relevant for Indonesia but also offer valuable lessons for other developing economies that are facing the challenge of balancing agricultural productivity with sustainability. KW - Economics KW - Development Economics KW - Agricultural Economics KW - Randomized Controlled Trials Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16095 ER - TY - THES A1 - Patil, Amit Dilip T1 - Towards Resilient Protection of Interconnected ICT and Power Systems N2 - Due to the increasing number of distributed renewable energy sources, the distribution grid faces new operational challenges. Information and Communication Technology (ICT) systems can resolve these challenges through grid services that use automation, monitoring, and real-time decision-making, helping maintain an acceptable operational state of the distribution grid. However, the reliance of the power system on the ICT system and vice versa in the so-called smart grid creates interdependencies between the systems, which present new pathways for failure propagation. Therefore, these interdependencies require special attention to ensure stable system operation in the face of these challenges. However, these interdependencies have not been studied extensively in the literature. This thesis investigates approaches to model, quantify and improve the performance and resilience of the smart grid infrastructure. The interdependencies are formalised as interconnectors, entities that exist in all the connected systems. These interconnectors consist of components from both systems, where the components are modelled as state variables. These state variables determine the interconnector state and the service delivered. Failures represented by a change in state variables may impact the state. These state variables are deployed in a discrete event simulation framework to determine the system performance over time. The simulation result is represented on a two-dimensional state-space diagram depicting the operational state and service delivered. This allows for the resilience analysis of a system under various scenarios. The interdependencies are further investigated by exploring the role of ICT-based grid services in power grids, whose state is defined based on ICT properties, such as latency. These properties are formalised using property graphs. The ICT properties obtained from these graphs are used to parameterise a finite state automaton model of a grid service states, which are then used to determine the state of the entire smart grid. Case studies of state estimation and adaptive protection highlight the application of this approach. The use of ICT in state estimation allows the distinction of a global and perceived view of the power grid, which influences decision-making in the face of challenges. This thesis further investigates the protection system in detail. The overcurrent protection system is adversely impacted by distributed generation, resulting in undesired phenomena such as protection blinding. This thesis characterises this phenomenon by proposing two indices that capture the protection trip time under the influence of distributed generation. These indices consider the electrical distance between faults, protection and distributed generation. These indices and simulation results identify the worst-impacted locations in the power grid in terms of protection trip time. They also identify fault locations under given assumptions that do not cause protection blinding. ICT can resolve protection blinding by adapting the sensitivity of protection relays. However, since faults must be cleared in a short timeframe, communication delays may adversely impact the fault-clearing time. A discrete event simulation model is proposed to study protection performance in distribution grids. Investigation of time distribution assumptions reveals that the lognormal distribution accurately captures the circuit breaker trip time. The impact of the distributed generation and communication delay on the protection system is determined by measuring fault-clearing times using discrete event simulation. Results show that for the system studied, protection blinding is critical for low impedance faults in grids with high fault levels, while high impedance faults are critical in grids with low fault levels. Moreover, sympathetic tripping is seen at increased distribution grid fault levels and fault impedance. Furthermore, while communication systems reduce fault clearing times, increased delays harm protection systems. Finally, communication system components like sensors can fail, preventing fault detection. This thesis proposes a genetic algorithm-based approach to optimally place redundant sensors, minimising protection blinding under communication uncertainty within a redundancy budget. Results demonstrate the algorithm's effectiveness in optimising redundant sensor locations, reducing system costs, and improving fault tolerance. For the system and scenarios investigated, an average of 60% redundant sensors are relocated, reducing the average protection trip time by 36.65% compared to a baseline approach that does not consider communication uncertainty. This encourages incorporating communication component failure considerations in power system planning. KW - information and communication technology KW - smart grid KW - discrete event simulation KW - property graphs KW - protection blinding KW - genetic algorithm Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16088 ER - TY - BOOK ED - Hertrampf, Marina Ortrud M. ED - Xie, Xiaomeng T1 - La littérature migratoire au féminin à l’interface entre l’«Orient» et l’«Occident» N2 - Ce volume collectif se questionne comment les contacts et les conflits entre l’« Orient » et l’« Occident » se reflètent dans les textes narratifs des femmes écrivains. Les contributrices examinent dans quelle mesure le fait d’être une femme donne lieu à différentes perceptions de soi et de l’autre, et dans quelle mesure les formes internes et externes d’orientalisme jouent un rôle à cet égard. Elles explorent dans quelle mesure les images de soi et de l’autre, les images orientales et occidentales des femmes et des rôles stéréotypés du genre entrent en contact ou en conflit dans ces textes, et quelles conséquences cela a sur l’identité des femmes dans l’entre-deux entre la culture d’origine et la culture d’accueil. Dans un post-orientalisme, si les problématiques culturelles, linguistiques, religieuses et idéologiques sont au centre de nos préoccupations, les autrices accordent également une attention particulière à la manière dont les femmes écrivains étudiées, elles-mêmes voyageuses et migrantes, transcendent la critique du colonialisme traditionnel, récréent et font comprendre un Orient dont l’image et la signification se renouvelle et se rafraîchit constamment. KW - Migrationsliteratur KW - Frauenliteratur KW - Orientalismus KW - Französisches Sprachgebiet KW - Migration (Motiv) KW - Post-Orientalismus KW - Okzidentalismus KW - Postokzidentalismus Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2502181236153.867738041428 SN - 978-3-96091-646-8 VL - 2025 PB - Akademische Verlagsgemeinschaft München CY - München ER - TY - THES A1 - Luick, Karen T1 - Reisebegegnungen in Marokko BT - multiperspektivische Betrachtungen zeitgenössischer deutschsprachiger und französischer Reiseberichte N2 - Die Arbeit beleuchtet Marokko als Reiseziel für Individualreisende aus landeskundlicher und tourismusgeographischer Perspektive. Darauf aufbauend erfolgt eine Analyse der touristischen Praxis anhand von Begegnungsrepräsentationen in verschiedenen medialen Formaten von Reiseberichten, mit Fokus auf interkulturelle Begegnungen. Diese zeigen sich in ihrer Darstellung als vielfältig und differenziert. Durch eine multiperspektivische Betrachtung des Phänomens werden komplexe Spielarten interkultureller Begegnung in Bezug auf Darstellung, Pragmatik und Funktionalität herausgearbeitet. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16024 ER - TY - THES A1 - Julka, Sahib T1 - Towards Data Efficiency and Controllable Representations for Deep Learning in Resource-Constrained Domains N2 - The deployment of artificial intelligence (AI) in specialised domains such as planetary science and healthcare, as well as in low-resource NLP settings, faces two fundamental challenges: label scarcity and data scarcity. Label scarcity stems from the high cost of expert annotation, the scarcity of domain experts, and the infeasibility of crowdsourcing, particularly in complex tasks requiring specialised knowledge. In parallel, data scarcity stems from the inherent difficulty of acquiring sufficient raw data, whether due to limited observational opportunities, environmental and technical barriers, or stringent privacy constraints. Together, these limitations impede the broader adoption of AI in these fields. Many existing approaches to label efficiency, such as active learning, rely on problem-specific heuristics and often, as a design choice, employ naive uncertainty estimations—typically at the instance level. However, such methods can lead to redundant or suboptimal sample selection by ignoring structural data properties and failing to account for representational diversity. In practice, they often perform no better than random sampling. For data synthesis, generative models face their own set of challenges. Despite their promise for synthetic data generation, these models frequently lack mechanisms to disentangle generative factors at the representation level, limiting their controllability. Additionally, standardised evaluation metrics to assess the quality of disentanglement remain underdeveloped, limiting their practical utility. These limitations highlight the need for advancements in data-efficient machine learning and controllable generative modelling, focusing on domain-specific validity and rigorous evaluation. This thesis contributes to addressing these challenges by proposing tailored solutions in two key directions. First, for data-efficient learning, a deep active learning (DAL) framework is introduced to enhance label efficiency by prioritising the most informative samples for annotation. Unlike traditional per-sample approaches, this framework aggregates uncertainty across larger data segments—such as orbital intervals in planetary science—allowing it to capture contextual variations. This method reduces labelled data requirements by up to 90% in the case of boundary crossing detection at Mercury’s magnetosphere. To further improve sampling diversity, a GAN-based concept drift detection method is integrated into the DAL framework, leveraging uncertainty and diversity together to offer a sampling method that outperforms random sampling. Additionally, foundation models such as the Segment Anything Model (SAM) are employed for zero-shot annotation to generate high-quality pseudo-labels, which are subsequently used to train a domain-specific model via knowledge distillation. This approach significantly enhances data efficiency, reducing the need for annotated samples several times over in the tested scenario of image segmentation for geological mapping. Furthermore, large language models (LLMs) are explored as active annotators for linguistic tasks in low-resource languages, achieving near-baseline performance while reducing annotation costs by up to 40x. Second, the thesis investigates methods to induce controllability in generative models, enabling the production of high-fidelity, controllable synthetic data. Conditional generative adversarial networks (CGANs) and disentangled representation learning techniques (DRL) are explored, particularly in the context of pedestrian trajectory prediction in the mobility domain, where controlled synthesis of diverse motion patterns is critical. Additionally, the work examines existing metrics for evaluating disentanglement and identifies critical limitations in them. A novel metric, the Exclusivity Disentanglement Index (EDI), is proposed as an improved standardised measure. Based on the principle of exclusivity in factor-code relationships, this metric offers advantages over existing alternatives in terms of efficiency and robustness. By advancing data-efficient learning and controllable generation strategies, this thesis aims to bridge the gap between AI’s vast potential and its practical adoption in resource-constrained environments. These contributions pave the way for transformative applications in planetary science, healthcare, and beyond, where label and data scarcity have long been barriers to progress. KW - artificial intelligence KW - deep active learning KW - label scarcity KW - data scarcity Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16030 ER - TY - THES A1 - Baak, Werner T1 - Advanced Ordered Weighted Averaging Methods in Robust Optimization N2 - In decision-making under uncertainty, robust optimization is a critical tool across various fields, providing solutions that perform effectively across a range of scenarios where precise probabilities are unavailable or unreliable. Traditional approaches, such as min-max and min-max regret, focus on minimizing the worst-case outcomes and worst-case regret, respectively, often resulting in highly conservative solutions. To address this limitation, this dissertation investigates the Ordered Weighted Averaging (OWA) operator, which offers a flexible framework for aggregating outcomes according to varying risk preferences, from risk-averse to risk-neutral, encompassing traditional robust approaches as special cases. This work is organized around three primary contributions that expand the application and understanding of OWA in robust optimization. The first contribution develops a preference elicitation framework for OWA weights, enabling decision-makers to derive weighting schemes based on observed historical decisions, thereby aligning aggregation strategies with specific risk attitudes. The second contribution introduces a novel variant of OWA for robust optimization, integrating OWA into a regret minimization framework to generalize both robust min-max and min-max regret approaches. This model is complemented by new complexity results, including insights into the inapproximability and approximability of OWA regret, providing stronger approximation bounds that asymptotically improve on previously established results for classic OWA models. These advancements position the OWA regret model as a powerful alternative to min-max regret, offering a more adaptable approach to risk-sensitive decision-making. The third contribution addresses interval uncertainty, extending the OWA framework to scenarios where outcomes are represented as bounded intervals instead of discrete points. This interval-based OWA model accommodates real-world decision-making needs, where scenario data are uncertain or costly to specify. By using Value-at-Risk (VaR) in our definition, we provide a natural way to handle continuous ranges of uncertainty while maintaining computational tractability for large-scale problems. Together, these contributions advance both the theoretical and practical applications of OWA in decision making, establishing OWA-based methods as versatile tools for addressing complex uncertainties across a variety of decision-making environments. KW - decision-making KW - uncertainty KW - risk Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15879 ER - TY - THES A1 - Wilhelm, Sebastian T1 - Emergency Detection in Private Households Utilizing Existing Data Sources for Human Activity Event Recognition N2 - In an aging society, the need for efficient emergency detection systems in smart homes is becoming increasingly important. Over 30% of those aged 65 and older experience at least one fall per year, often resulting in the inability to rise without assistance, leading to ‘long lies’ lasting hours or even days. Systems for detecting such emergency events usually rely on wearable sensors or specific installations of ambient sensors, which can be intrusive and complex, hindering acceptance. This thesis proposes a novel approach that utilizes existing digital data sources within the residential infrastructure to detect human activities and identify potential emergencies. A survey identifies 44 potential data sources in private households for recognizing human activity. However, extracting activity information often requires complex preprocessing. In this thesis, methodologies are developed for three of these data sources to highlight practical applications: Smart Power Meters, Smart Water Meters, and Home Weather Stations. It is shown that detecting human activities using these sources is feasible in a practical environment, although accuracy and reliability vary. Notably, Smart Water Meters demonstrate high reliability, with a precision of 0.86 and a recall of 1.00, making them particularly suitable for emergency detection. Existing emergency detection methods are not designed to handle uncertain activity data. This thesis introduces a novel approach based on probabilistic activity information, employing an Inactivity Score that provides a probabilistic weighting of inactivity periods based on the reliability of sensor measurements. By analyzing historical Inactivity Scores, anomalies that potentially represent an emergency can be identified. Evaluations across seven datasets show this approach outperforms existing methods, achieving a mean time to detect emergencies of approximately 05:23:28 hours and producing 0.09 false positives per day under noise-free conditions. Moreover, unlike related approaches, the proposed method remains effective with noisy data. This thesis demonstrates that emergencies in private households can be detected using existing data sources from the home infrastructure, offering a cost-effective and non-intrusive solution to enhance the safety and autonomy of the elderly at home. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15992 ER - TY - THES A1 - Stoffels, Dominik T1 - Advancing Pattern Detection, Theory Development and Decision Making with Explainable AI N2 - The application of explainable artificial intelligence (XAI) methods in data-driven decision-making and computationally intensive theory development (CTD) is a subject of ongoing debate, particularly concerning how and whether these methods can be effectively employed, and how the reliability of their explanations can be ensured. This dissertation addresses these issues by systematically analyzing the usability of XAI for pattern detection, CTD, and decision-making, drawing on various real-world and synthetic datasets and employing different empirical methods and perspectives. The dissertation consists of four studies, each addressing distinct issues in the field of XAI application. KW - Explainable Artificial Intelligence KW - Machine Learning KW - Computationally Intensive Theory Development Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15975 ER - TY - THES A1 - Kravets-Meinke, Daria T1 - Search Engines and Foreign Influence: How Google and Yandex Mediate Russia’s Propaganda Abroad N2 - This cumulative dissertation examined how the US-based Google and Russia-based Yandex mediate the propaganda efforts of Russia’s ruling elites abroad on a case study of Belarus. The findings presented here contribute to a nuanced understanding of how algorithmic gatekeepers, particularly search engines, can be strategically appropriated or manipulated to reinforce and export state narratives beyond national borders. The main conclusion of this dissertation is that both Yandex and Google, albeit through different mechanisms and to varying extents, can serve as mediators of Russia’s propaganda efforts abroad. KW - search engines KW - Russia KW - propaganda Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15953 ER - TY - JOUR ED - Rottgeri, André ED - Koch, Günter T1 - Populäre Artikulationen - Artikulationen des Populären N2 - Zuerst erschienen auf: https://www.kultursemiotik.com/forschung/publikationen/schriftenreihe-online/ Inhalt Vorwort: Populäres und Artikulationen – ein Überblick 11. Jahrestagung der AG Populärkultur und Medien in der Gesellschaft für Medienwissenschaft (GfM) André Rottgeri, Günter Koch I. Populäre Artikulationen – Artikulationen des Populären Kulturwissenschaftliche Anmerkungen aus der Perspektive der Populären Kultur Barbara Hornberger Populäre Artikulationen – Artikulationen des Populären Sprachwissenschaftliche Perspektiven Rüdiger Harnisch II. Musikalische Artikulationen – Popular Music Studies Populäre Musik & Artikulationen Entwurf einer Typologie am Beispiel von Joe Satriani André Rottgeri Between Salvador and the Recôncavo baiano Value disputes stemming from the rock bands Cascadura and Escola Pública Jorge Cardoso Filho Emphatische Dehnungen und sprechende Pausen Über rhythmische Artikulationsmuster deutschsprachiger Songtexte am Beispiel der Wise Guys Johannes Odendahl Von der Berliner Mauer nach Moskau und Lateinamerika Wind of Change von den Scorpions auf Russisch und Spanisch Christina Richter-Ibáñez III. Text- und Bild-Artikulationen – Literaturwissenschaft und Mediensemiotik Wertevermittlung in Online-Storytelling-Werbespots der Firma Edeka Dennis Gräf Dekonstruktion eines historischen Mythos in Sofia Coppolas MARIE ANTOINETTE (2006) Oliver Seidel Zwischen Pille & Minirock Feminismus und Sexismus als populäre Konzepte der Zeitschrift konkret der 1960er Jahre Alix Michell Artikulation als Verrat? Rotwelsch und die Verweigerung der Übersetzbarkeit in Zeena Parkins’ Mouth=Maul=Betrayer Benedikt Wolf In Likes We Trust oder die unmögliche Möglichkeit vom Like als Gabe zu sprechen Christian Schulz Papst und Populus im Hochmittelalter Papsturkunden als Artikulationen des päpstlichen Universalprimats Daniel Berger/André Rottgeri IV. Sprachliche Artikulationen – Sprachwissenschaft Verhörer in der Popmusik Franz Josef Bauer WER WIRD MILLIONÄR? Das Sprachspiel als populärer Einstieg in den Wissenswettbewerb Günter Koch Die Autorinnen und Autoren T3 - Schriften zur Kultur- und Mediensemiotik | Online - 11 KW - Populärkultur KW - Sprachwissenschaft KW - Popular Music Studies Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15940 VL - 2025 IS - 11 ER - TY - THES A1 - Hasenpflug, Mareike T1 - Slice sampling on Riemannian manifolds N2 - This thesis is concerned with hybrid slice samplers for approximate sampling of distributions on Riemannian manifolds. First for distributions on the Euclidean unit sphere, and then for distributions on general Riemannian manifolds we introduce a geodesic-based hybrid slice sampler, called geodesic slice sampler. Under mild regularity assumptions, we establish reversibility with respect to the target distribution for this sampler and positive semi-definiteness of the corresponding operator. Moreover, on compact Riemannian manifolds we show uniform ergodicity with explicit constants for the geodesic slice sampler if the target distribution has a bounded density with respect to the Riemannian measure. As an important building block of this sampler, we provide an explicit expression for the shrinkage procedure proposed in (Neal, 2003) in terms of a Markov kernel. We establish that this kernel is reversible with respect to the uniform distribution on the target set and that its corresponding operator is positive semi-definite. Beyond the geodesic slice sampler, we apply these results also to elliptical slice sampling (Murray, Adams, MacKay, 2010) to obtain a proof for its reversibility with respect to the target distribution and positive semi-definiteness of the corresponding operator. KW - Markov chain Monte Carlo KW - Slice sampling KW - Riemannian manifolds Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15903 ER - TY - THES A1 - Prakash, Jyoti T1 - Static Analyses of Interlanguage Interoperations N2 - Software Developers are moving towards a multilingual development where they combine two languages in a single application to harness the strengths of each language. For example, performance-critical components of a Java application can be implemented in C language. It provides flexibility, at the same time, it becomes difficult to statically analyze these applications. The amalgamation of two languages in a single application may introduce bugs ranging from type-mismatch to security vulnerabilities. Therefore, it is necessary to develop static analysis techniques to aid developers in multilingual development. In this thesis, we develop techniques to study and analyze these applications. In the first part of the thesis, we study the prevalence of security and privacy vulnerabilities in hybrid apps. Hybrid apps are Android apps that combine both Java and Javascript components, where the Android part is secured (on the device), while the JavaScript part is exposed to web. Additionally, some of the Java functions are available to JavaScript component through an interface called as bridge interface. In the pursuit of the goal, we adopt a static backtracking of data dependencies to determine the flow of information from the android component to the web component. Our study revealed the potential sources of unsoundness in the existing static analyses. Static backtracing also induces imprecision in the analysis, i.e., there might be some flows that are not possible during runtime albeit are reported by the analysis. These were mitigated through a manual verification. This work reveals that the android-web hybridization can lead to (potential) vulnerabilities that might impact the confidentiality as well as the integrity properties of these apps. From the communication patterns occurring in Android WebView, we noticed that its is feasible for an attacker to jeopardize the integrity of apps by corrupting some value, say an input on the web through bridge interfaces. Motivated by this, we define a information flow analysis of the bridge interfaces and the associated data flows in hybrid apps. In the first step, we propose a novel threat model where we model the attacker as someone who wants to influence the behavior of android app as an integrity violation. Based on this threat model, we then propose a demand-driven analysis technique to detect confidentiality and integrity violations. Our analysis leverages, a demand-driven technique, where it only analyzes the relevant part of app for the information flow analysis with the help of function summaries --- escaping the need of a whole-program analysis. In the second part of the thesis, we generalize the approach to static analysis of multilingual applications. To this end, we investigate into the question of combining existing single language analyses to analyze multilingual programs. To provide an affirmative answer, we define an analysis to leverage single language analyses for call-graph and pointer analysis of multilingual programs. Our analysis takes two existing unilingual analyses and analyzes the complete multilingual program. It uses a novel summary specialization technique that resolves the information flows at the bridge interfaces by utilizing independent pre-analyses (modulo foreign function interfaces) of each language component. We apply this technique to analyze Android-NDK and GraalVM Java-Python multilingual applications for generating call-graphs. In summary, we have developed novel techniques for information flow and call-graph analysis for multilingual programs. With this, we motivate the need of static analyses for multilingual applications and its applications which includes, vulnerability detection, program understanding, amongst others. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15736 ER - TY - INPR A1 - Compaore, Georges A1 - Dabire, Bonayi Hubert A1 - Sangli, Gabriel A1 - Azianu, Komi Ameko A1 - Minoungou, Abdoul Kader A1 - Zoma, Vincent T1 - Analysis of the practices, structures and processes of translocal mobility systems in Burkina Faso BT - key findings from the MiTra|WA survey N2 - This report presents the results of the project “Migration and Translocality in West Africa (MiTra|WA)” with reference to translocal practices in Burkina Faso. Funded by the German Federal Ministry of Education and Research, the study ran from 2022 to 2024. The general objective of the project is to analyse the multiple links between the rural areas of departure and urban reception of migrants as well as the impacts on the development of these localities. The study employs a mixed-methods approach, combining quantitative and qualitative research methods. The quantitative component consisted of two types of surveys. First, a household survey in the migrants' area of origin (AoO) to identify the migrants’ belonging to these households. In the second phase, a telephone survey was conducted among migrants in the destination areas (AoD). Then, the focus was on socio-economic data as well as translocal interactions and network relationships. The qualitative component consisted of in-depth interviews with key actors in the different areas of departure and destination of migrants. These include migrants, local administrative officials, leaders of NGOs, associations, community and religious leaders. The results show that migration is a phenomenon experienced by many households in rural areas. There are as many internal migrants as there are international migrants. Of the 537 households surveyed, 405 (75.4%) have at least one migrant. The age structure of migrants shows a predominantly young structure of migrants (82% who are under 40 years old). According to gender, migration is strongly male-dominated (82%). Men are more inclined to international migration (56%). Female migration is precocious. A large proportion of migrants (41%) have no level of education and are mostly single (50%). Translocality, conceptualized in this study as the multifaceted links between the places of departure, transit and residence of migrants, is apprehended through telephone contacts between migrants and their place of origin, in addition to the different forms of mobility: mobility of people, financial resources (remittances), material resources (transfers in kind), intangible resources (ideas, practices, etc.). Exchanges are often bidirectional. Telephone contacts represent 86% of migrants. Migrants visit the household in the area of origin more frequently (41.8%) than they receive household members at their destination (33.9%). More than 66.6% of migrants transfer remittances to their households in rural areas. With regard to the 4-level translocality intensity indicator (Wehner 2022), it can be concluded that over 50% of migrants are located at the two highest levels. Hence, translocality is an important feature of rural-urban migration in Burkina Faso. T3 - Migration, translocality and development in times of climate change. Mitra|WA Working Paper Series - 6 KW - migration KW - translocality KW - translocal practices KW - Burkina Faso Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15862 IS - 6 ER - TY - THES A1 - Still, Enid T1 - Affective Roots: Memory, emotions and viscerality within organic agri-food networks in Tamil Nadu, India N2 - For activists I met in Chennai, the capital city of Tamil Nadu in India, organic food and farming was a ‘way of life’. Stemming from my curiosity about this statement and what it meant for different actors in the regional organic agri-food networks, this research explores the interconnected lives and livelihoods of organic farmers and activists in Tamil Nadu. To engage with the social dynamics of these agri-food networks, the research focuses in on the role of the affective, feeling body. The emphasis on affect emerged in the form of memories, emotions and visceral experience, from empirical data collected between 2020 and 2022. And as the thesis demonstrates, affective dimensions, or what moves people, are important because, unlike economic, statistical or structural perspectives, they make visible the ways different actors feel socio-ecological change. Adopting the lens of Feminist Political Ecology and drawing on the fields of historical anthropology and feminist ethics, this thesis highlights: (1) the enduring nature of epistemic injustice within agri-food relations, (2) how social boundaries are built, maintained and remade through affective encounters, circumscribing what I call the ‘affective roots’ of socio-ecological change and (3) how ambiguous affective relations co-constitute organic agri-food networks, shaping anxious environmental subjectivities, that stem from socially mediated encounters with agro-chemicals, the market, the landscape and the other. Deepening our understanding of socio-ecological and agrarian change through empirical inquiry into how people feel matters, I argue, because it sheds light on injustices that are often concealed beneath the clouds of crisis. KW - Affect KW - Organic Agriculture KW - Tamil Nadu KW - Feminist Political Ecology KW - Epistemic injustice Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15838 ER - TY - THES A1 - Jakob, Dietmar Friedrich T1 - Teilhabegerechtigkeit bei der digitalen Inklusion älterer Erwachsener: Eine Potenzialanalyse von Sprachassistenten T1 - Equity of participation in digital inclusion of older adults: A potential analysis of voice assistants N2 - This cumulative dissertation delves into the complexities and opportunities surrounding older adults’ adoption and use of Voice Assistants (VAs), focusing on digital participation equity from theologic-ethical and social perspectives. Through an extensive series of methodologically diverse studies—including systematic literature reviews, laboratory experiments, surveys, and field studies—the research aims to uncover how older adults perceive, interact with, and are impacted by technologies, such as the particular model “Amazon Echo Show 10, 3rd generation with integrated voice interface ALEXA”. The investigation also seeks to pinpoint the obstacles that impede the adoption of these technologies among this demographic. The research initially demonstrates that older adults can recognize the utility of VAs in various applications, including information retrieval, entertainment, and health management. The findings underscore the importance of these devices in enhancing the quality of life by providing easier access to essential services and facilitating social interaction, even among those who may be physically isolated. However, the dissertation identifies significant concerns among older adults regarding privacy and data security, influencing their willingness to embrace VAs. The devices’ complexity and occasional interaction difficulties—such as command formulation and speech recognition issues—further challenge their usability for this group. A notable and unique aspect of the study is the anthropomorphization of devices by some older adults. This behavior, where users attribute human-like characteristics or emotional connections to VAs, suggests deeper psychological and social dimensions in the user-technology relationship. This phenomenon is examined to understand its implications for technology acceptance and the potential for these devices to mitigate feelings of loneliness and social isolation. In summary, this dissertation provides practical recommendations for enhancing the design, communication, and functionality of VAs to better cater to the needs and preferences of older adults. It underscores the importance of technology development that respects the dignity and autonomy of older individuals, ensuring their digital participation and equity. The work advocates for a comprehensive approach that integrates ethical considerations into technology design and dissemination, thereby promoting a framework that supports the full inclusion of older adults in the digital world. N2 - Diese kumulative Dissertation untersucht die Komplexität und die Möglichkeiten, die mit der Annahme und Nutzung von Sprachassistenten durch ältere Erwachsene verbunden sind, und konzentriert sich auf die digitale Teilhabegerechtigkeit aus theologisch-ethischer und sozialer Sicht. Durch eine umfangreiche Reihe methodisch unterschiedlicher Studien - darunter systematische Literaturauswertungen, Laborexperimente, Umfragen und Feldstudien - zielt diese Forschung darauf ab herauszufinden, wie ältere Erwachsene Technologien wie kommerzielle Sprachassistenten, wie z. B. das spezielle Modell "Amazon Echo Show 10, 3. Generation mit integriertem Sprachinterface Alexa" wahrnehmen, mit ihnen interagieren und von ihnen beeinflusst werden. Die Untersuchung versucht auch, die Hindernisse aufzuzeigen, die die Annahme dieser Technologien in dieser Bevölkerungsgruppe behindern und geht auch auf Tendenzen von Antropomorphisierung der Geräte ein. Die Untersuchung zeigt zunächst, dass ältere Erwachsene den Nutzen von Sprachassistenten in verschiedenen Anwendungen erkennen können, darunter für die Informationsbeschaffung, Unterhaltung und das Gesundheitsmanagement. Die Ergebnisse unterstreichen die Bedeutung dieser Geräte für die Verbesserung der Lebensqualität, indem sie den Zugang zu wichtigen Dienstleistungen erleichtern und die soziale Interaktion fördern, selbst bei Personen, die körperlich isoliert sind. Die Dissertation zeigt jedoch auch, dass ältere Menschen Bedenken hinsichtlich des Schutzes der Privatsphäre und der Datensicherheit haben, was ihre Bereitschaft, Sprachassistenten zu nutzen, deutlich beeinflusst. Die Komplexität der Geräte und gelegentliche Schwierigkeiten bei der Interaktion - wie etwa Probleme bei der Befehlsformulierung und der Spracherkennung - stellen eine weitere Herausforderung für die Benutzerfreundlichkeit dieser Gruppe dar. Ein bemerkenswerter und einzigartiger Aspekt der Studie ist die Anthropomorphisierung der Geräte durch einige ältere Erwachsene. Dieses Verhalten, bei dem die Benutzer Sprachassistenten menschenähnliche Eigenschaften oder emotionale Verbindungen zuschreiben, deutet auf tiefere psychologische und soziale Dimensionen in der Beziehung zwischen Benutzer und Technologie hin. Dieses Phänomen wird untersucht, um seine Auswirkungen auf die Technologieakzeptanz und das Potenzial dieser Geräte, Gefühle von Einsamkeit und sozialer Isolation zu mildern, zu verstehen. Abschließend bietet die Dissertation gezielte Empfehlungen zur Verbesserung von Design, Kommunikation und Funktionalität von Sprachassistenten, um den Bedürfnissen und Vorlieben älterer Menschen besser gerecht zu werden. Sie unterstreicht die Notwendigkeit einer Technologieentwicklung, die die Würde und Autonomie älterer Menschen in den Vordergrund stellt und ihre digitale Teilhabe und Gleichberechtigung gewährleistet. Die Arbeit fordert einen ganzheitlichen Ansatz, der ethische Überlegungen in die Entwicklung und Verbreitung von Technologien einbezieht, und setzt sich für einen Rahmen ein, der die vollständige Einbeziehung älterer Menschen in die digitale Welt unterstützt. KW - Human Computer Interation KW - Voice Assistants KW - Older Adults KW - Digital Equity Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15849 ER - TY - JOUR A1 - Hidalgo, Oliver Fernando T1 - The antinomian framework of Western and non-Western democracies — from theory to application JF - Frontiers in Political Science N2 - This article argues in favour of broadening the classical paradigm of democracy that historically emerged in the West. Without disregarding the undiminished significance of the idea of liberal democracy and its deep commitment to universal human rights, the necessity of a new accentuation of the concept of democracy is accepted in view of the observable democratic processes in non-Western societies. This should help to avoid both the blind spots of Eurocentrism and the misperception of countries as democracies that are merely masking their authoritarian or despotic character. The result is a theory of popular sovereignty that seeks to grasp and combine Western and non-Western conceptions of democracy in a balanced way and is based on a genealogical and comparative perspective of the history of political ideas in the global North and South. In a second step, the theory is then tested using a few selected examples (Confucian democracy, Islamic democracy, African democracy). KW - democracy KW - non-western history of political thought KW - confucianism KW - Muslim world KW - Africa Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15821 VL - 2024 IS - 6 PB - Frontiers CY - Lausanne ER - TY - JOUR A1 - Blanc, Julia A1 - Annekatrin, Meißner T1 - Towards a holistic approach to sustainable development : inner development as a missing link for sustainability transformation JF - Religions (Special issue "Sustainable development : the normative contribution of theology") N2 - The discourse on understanding and implementing sustainable development has so far focused primarily on the external aspects, neglecting the internal dimension of people. The main purpose of our paper is to contribute to addressing this research gap. Therefore, we intend to (1) substantiate existing aspects of the Inner Development Goals (IDGs), (2) complement them, and (3) link the concept of the IDGs to normative discourses in Christian Social Ethics and Social Philosophy. Our results show that the dimensions of Being, Relating, and Collaborating in the IDG Framework can be substantiated by the normative discourse on spirituality and by reference to the social principle of personality in Christian Social Ethics, as well as by the Indian Social Philosophical Perspective of Vimala Thakar which focuses on a value-based approach. This paper suggests that the concept of the IDGs will be strengthened by adding the dimension of Caring—understood as the concern and responsibility for the wholeness in the combining of the inner and outer dimensions. By linking the concept of the Inner Development Goals to the existing normative discourses in Christian Social Ethics and Social Philosophy, our research contributes to making the concept connectable and deepens the discussions on a practical and theoretical level. KW - holistic sustainable development KW - change of consciousness KW - being KW - caring KW - christian social ethics KW - social philosophy Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15816 VL - 2025 IS - 16(1) PB - MDPI CY - Basel ER - TY - THES A1 - Weishäupl, Andreas T1 - Zur Bedeutung der maximalen Laktatbildungsrate in Diagnostik und Training am Beispiel Skilanglauf und Radsport T1 - The relevance of the maximal lactate accumulation rate in diagnostics and training: The example of cross-country skiing and cycling N2 - Die Arbeit beleuchtet die Bedeutung der maximalen Laktatbildungsrate (V̇Lamax) für die Leistungsdiagnostik und die Trainingspraxis. Für die Sportart Skilanglauf wurde ein neuer Sprinttest zur Bestimmung der V̇Lamax am Skiergometer entwickelt, der sich als reliabel und valide erwiesen hat. Dabei wurden verschiedene Ansätze zur Bestimmung der alaktaziden Zeit genauer betrachtet. Außerdem wurde der Sprinttest am Skiergometer mit dem etablierten Sprinttest am Radergometer verglichen, wobei festgestellt werden konnte, dass die V̇Lamax sportart- und extremitätsspezifisch getestet werden sollte. Zudem wurde die Auswirkung von Intervalltraining unterschiedlicher Intensität im Radsport untersucht. Hochintensives Ausdauertraining scheint dabei die V̇Lamax zu steigern, wohingegen submaximales Sweetspot-Training die V̇Lamax zu senken scheint. KW - Maximale Laktatbildungsrate KW - maximal lactate accumulation rate KW - Intervalltraining KW - cross-country skiing KW - cycling KW - Leistungsdiagnostik KW - Training KW - Lactate KW - Skilanglauf KW - Radsport Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15801 ER - TY - RPRT A1 - Ejiba, Ikenna V. A1 - Olajide, Adeola O. ED - Ungruhe, Christian ED - Wehner, Stefanie T1 - Does translocality influence climate change adaption of rural farming households? : evidence from Arochukwu, southeast Nigeria N2 - Impacts of climate change are a burden for many rural communities in the global south, and particularly affect vulnerable farming households, that depend on agriculture for their sustenance. Understanding how vulnerable rural migrant households respond to this, from a translocal perspective can help to build households’ resilience to climate change. While studies in Nigeria have assessed the impact of migration as a means of adaptation, studies assessing the influence of vulnerable households, using this approach is limited. This study therefore assessed how translocality influence adaptation to climate change, for vulnerable rural households in Arochukwu, southeast Nigeria. To achieve this objective, a multistage purposive random sampling technique was used to collect data from rural farm households. Primary data were collected from the households in the Area of Origin (AoO) and Area of Destination (AoD) using survey and interviews, and analysed using mixed methods analysis. Results indicate that rainfall variability and high temperature are the most risks encountered, resulting in crop losses. As a means of adaptation, migrant and non-migrant households engage in off-season migration to urban and rural areas, with more migrant households engaging in off-season rural-urban and rural-rural migration. Among migrant households, flow of resources occur, with the type of item determining the medium of exchange; while households in the AoO pay less attention to agricultural investment. Migrant and non-migrant households also differ significantly in terms of the number of adaptation measures employed. Findings from the empirical analysis on the influence of translocality on adaptation indicate that, perception of climate change, household size, and the transfer of ideas, knowledge, and innovation by migrants to their households in the AoO significantly influence adaptation of rural farming households. The research makes a case for consideration of translocality in national adaptation plans, aimed at building resilience of rural households in Southeast Nigeria. T3 - Migration, translocality and development in times of climate change. Mitra|WA Working Paper Series - 5 KW - Climate Change KW - Vulnerability KW - Translocality KW - Migration KW - Adaption KW - Southeast Nigeria Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15773 IS - 5 ER - TY - THES A1 - Hering, Robin T1 - Protection of Civilians in Armed Conflict: Safe Areas and the Silencing of Mass Atrocities N2 - This publication-based thesis approaches the topic of the protection of civilians in armed conflict by ‘zooming in‘ on two specific sub-topics: safe areas as well as the silencing of mass atrocities. The thesis consists of five publications (four of them published in double-blind peer reviewed journals) and of an introductory chapter that presents the overall argument and contextualises the publications. Two publications argue that mass atrocities are silenced, or at least not politicised, in the discourses and debates of Germany as an exemplary UN member state. It is argued that ‘silencing’ is a structural feature of an ‘identity-mismatch’ with the domestic ideational structure that inhibits debates and freezes the possibility space for foreign policy. Empirically, the first publication assesses the rhetoric of the German chancellor, foreign ministers and parliamentary group leaders vis-à-vis the mass atrocities committed in Yemen, Myanmar and South Sudan. The second publication widens the scope and looks at German political, media and societal debates in twelve cases of mass atrocities between 1992 and 2019. The remaining three publications focus on the topic of safe areas. The first publication systematically collects and assesses the existing conceptual literature on safe areas. The second publication presents a comprehensive definition, a four-fold typology based on a distinction by size and the logic of protection as well as an extensive empirical dataset of safe areas. By analysing case studies from Iraq and South Sudan, the third publication argues that safe areas have a very limited potential to provide an alternative to flight, especially from the perspective of the protection-seeking civilians themselves. KW - Protection of Civilians KW - Mass Atrocities KW - Foreign Policy Analysis KW - Safe Areas KW - Silencing KW - Zivilbevölkerung KW - Schutzzone KW - Außenpolitik KW - Schweigen KW - Völkermord Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15765 ER - TY - THES A1 - Soller, Sebastian T1 - Anomaly Detection and Forecasting Techniques and their Applications Scenarios, Challenges and Limits in Industrial Production Settings N2 - What needs to be done to get machine learning and artificial intelligence from the lab to the shop floor? This work and its affiliated publications focus on challenges and solutions to apply machine learning applications inside industrial setups and what steps are needed to improve those setups. In industrial setups it is easy to run into a "hen and egg" problem. To gather data, the information which data to gather is ideally given beforehand and these information are not available when studying new setups and machines. In this work setups and concepts are created to dynamically connect to a network and start gathering data from available endpoints inside a manufacturing setup. The data streams of these endpoints are further analyzed to give an initial analysis of the data and advise further processing. To further analyze these data streams with the current advances in the machine learning field and AI, plug and play solutions are presented by manufacturers and scientific research. Limits are determined for this plug and play capability and solutions are provided to further improve upon the base solutions. The capability to apply commonly applied methods was analyzed and initially provided non-sufficient results. In the sub-fields of anomaly detection, regression analysis, forecasting and classification the addition of context information, such as production specific information and time dependent analysis were used to improve the results. Context information, especially periodic information, were further conceptualized and integrated into the initial data analysis. Difficulties with correct labeling of ground truth due to differing biases of participants were encountered, and counter measurements were proposed. Results of the classification, regression, forecast and context information extraction were investigated for their influence on the human operator. A significant change could be measured in multiple cases, just by providing information about underlying problems and errors. The Aforementioned machine learning methods further improved the performance of machine and operator. KW - Anomalieerkennung KW - Künstliche Intelligenz KW - Maschinelles Learning KW - Plug-and-Play Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15659 ER - TY - THES A1 - Frühwirth, Lorenz T1 - The Asymptotic Behavior of Birkhoff- and Lacunary Sums N2 - This doctoral thesis consists of three independently published research articles on the asymptoic behaviour of Lacunary- and Birkhoff sums. The former are sums formed by periodic functions and exponentially growing sequences of natural numbers. The corresponding summands often exhibit behavior typical of independent and identically distributed random variables. The methods used are of an analytical and probabilistic nature. The Birkhoff sums considered in this work are generated by the Kronecker sequence and by discontinuous functions. The methods employed are from the field of metric number theory, specifically classical results from continued fraction theory are utilized. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15677 ER - TY - GEN A1 - Mexis, Nico A1 - Lill, Bjarne A1 - Doleh, Yousef A1 - Katzenbeisser, Stefan T1 - Supplementary Material for the Work "Exposing the Gaps: The State of Supply Chain Coverage in Current Security Standards" N2 - This document contains the supplementary material for our work "Exposing the Gaps: The State of Supply Chain Coverage in Current Security Standards", which should be consulted for further information and details. While this supplement has not been peer-reviewed, the above article has. The reviewers also had access to all the data presented in this document during the review phase. The article is available from 26 July 2025 as part of the "IFIP Advances in Information and Communication Technology", volume 742: 10.1007/978-3-031-94924-1_14 KW - Supply Chain Management KW - Informationssicherheit KW - Supply Chain KW - Risk Management KW - Coverage KW - Cybersecurity KW - Standard Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15633 ER -