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Migrationskitsch: Ästhetik, Wahrnehmung und Machtstrukturen in der deutschen Einwanderungsgesellschaft Ein ästhetisches und soziales Phänomen kultureller Zugehörigkeit und Deutungshoheit im Kontext von Migration

Carolin Denter — Thu, 25 Jun 2026 11:28:09 +0200

Die vorliegende Masterarbeit untersucht das bislang wissenschaftlich nicht systematisch ausgearbeitete Phänomen des „Migrationskitsches“ als ästhetische Praxis innerhalb der deutschen Einwanderungsgesellschaft. Ausgehend von der Frage, inwiefern Migrationskitsch Machtstrukturen und gesellschaftliche Ungleichheiten sichtbar macht und zugleich stabilisiert, wird der Begriff theoretisch fundiert und begrifflich präzisiert. Die Untersuchung basiert auf einer hermeneutisch-analytischen Literaturarbeit und verbindet Ansätze aus der Kitsch- und Ästhetikforschung mit migrations-, macht- und differenztheoretischen Perspektiven. Unter Rückgriff auf unter anderem Adorno, Bourdieu, Rancière, Foroutan und Bartels wird gezeigt, dass migrationsbezogene Darstellungen häufig komplexe soziale Realitäten affektiv verdichten, moralisch aufladen und in vereinfachte Narrative überführen. Diese können sowohl innerhalb migrantischer Communities identitätsstiftende und erinnerungskulturelle Funktionen erfüllen als auch in der Mehrheitsgesellschaft zur Stabilisierung von Differenzordnungen und Deutungshoheiten beitragen. Migrationskitsch wird dabei als analytischer Begriff verstanden, der weder mit rassistischen noch mit populären Darstellungsformen gleichzusetzen ist, sondern die Verschränkung von Ästhetik, Wahrnehmung und Macht sichtbar macht. Abschließend diskutiert die Arbeit die Potenziale inklusiver ästhetischer Bildung für die kritische Reflexion gesellschaftlicher Bewertungsordnungen und eröffnet Perspektiven für weitere Forschung.

Concepts for the Analysis and Management of Real-Time Systems

Kai Lampka — Wed, 24 Jun 2026 12:03:20 +0200

On the one hand, this work introduces concepts facilitating a more expressive and efficient system timing analysis. On the other hand, it introduces schemes for ensuring that the system stays within its operational bounds, such as execution time envelopes under resource contention and does so in the presence of power and thermal restrictions.

Timing Analysis of Multi-Rate Cause-Effect Chains in Safety-Critical Real-Time Systems

Luiz Gonzaga Nunes Maia Neto — Wed, 24 Jun 2026 11:09:26 +0200

In this dissertation, we study the challenges of performing end-to-end timing analysis in safety-critical real-time systems with multi-rate cause-effect chains and multi-core architecture. The main contribution of this dissertation consists of proposing methods to verify and improve the end-to-end latencies of safety-critical real-time applications with tasks applying the Logical Execution Time (LET) communication paradigm. Evaluations using automotive benchmarks and synthetic task sets show the benefits of our methods under different end-to-end latency metrics such as reaction time and data age.

Routine Dynamics in Agile Practice: A Process-Ontological Perspective on Organizational Agility

Kathrin Lemm — Tue, 23 Jun 2026 11:11:00 +0200

Organizational routines are central to understanding how work is accomplished and transformed in contemporary organizations. This cumulative dissertation, situated in the field of organization theory and grounded in routine dynamics research, explores how agility unfolds through the enactment of routines. Across four dissertation papers, it advances a processual understanding of how organizational phenomena evolve through the enactment of agile routines. The first paper conceptualizes agility as an emergent property of repeated routine performance. Drawing on routine dynamics, it theorizes how frequency and variation in agile routines generate adaptability over time, showing that becoming agile is a process rather than a state. The second paper extends this perspective to the educational context. Based on qualitative case data from agile learning routines, it identifies mechanisms of expansion and contraction that shape learning paths, demonstrating how agility in education is enacted through those recursive dynamics. The third paper connects routine dynamics with Strategyas-Practice research. It theorizes how mundane routines acquire strategic significance through “strategic connection work” – revealing strategizing as a distributed and emergent process. The fourth paper introduces the notion of truce dynamics to explain how tensions are articulated, contested, and absorbed within the everyday organizing of an agile team, and how truces are negotiated in a spiral process. Taken together, this dissertation contributes to organizational theory in four ways: (1) by further explaining agility through a routine dynamics lens; (2) by advancing a strong process ontology in organization studies that captures how stability and change co-emerge in situated action; (3) by connecting routines performances across enactments, and (4) by linking microlevel routine performances to macro-level organizational outcomes to show how local, situated actions collectively produce organizational phenomena.

Simulation Software for the Virtual Design and Analysis of Magnetic Sensor Systems

Tim Becker; Claudia Glenske; Lukas Rauber; Jörg Seewig — Fri, 19 Jun 2026 12:22:21 +0200

Designing magnetic sensor modules is a complex process often relying on simulation to avoid costly and time-consuming prototypes. However, existing simulation tools are typically generic, leading to key limitations: magnetic field data cannot be exported for detailed analysis, interfaces are overloaded with unnecessary features while lacking essential ones, and resource demands are unnecessarily high. To address these drawbacks, we have developed a dedicated software solution at RPTU University Kaiserslautern-Landau that combines functionality, intuitiveness, computational efficiency, and openness. Users can define geometric and material properties through an intuitive interface, with all process data, including sensor signals and magnetic field distributions, available for in-depth analysis. The modular architecture enables easy integration of custom sensors, streamlining the development of new magnetic sensor designs. The software is open-source, written in Python, freely available on GitHub, and can be extended without restrictions.

Amtliche Bekanntmachung der RPTU Kaiserslautern-Landau 2026.06

Thu, 18 Jun 2026 08:37:30 +0200

Amtliche Bekanntmachung der RPTU Nr.6/18.06.2026

Pushing the Boundary on Automated Modular Floating-Point Verification

Rosa Abbasi — Tue, 16 Jun 2026 12:04:50 +0200

Floating-point numbers often represent real numbers in computer systems. They are applicable in many domains, including embedded systems, machine learning, and scientific computing. Despite their widespread use, they pose some difficulties. Floating-point numbers and operations typically suffer from roundoff errors, making computations over floating-points inaccurate with respect to a real-valued specification. Moreover, the IEEE 754 floating-point standard, a fundamental element in formalizing floating-point arithmetic for today’s computers, presents additional challenges due to special values and resulting unintuitive behaviors. This thesis has three main contributions that address existing gaps in automated reasoning about floating-point arithmetic, making it easier for developers and researchers to understand, verify, and trust the floating-point computations in their programs. First, we introduce the first floating-point support in a deductive verifier for the Java programming language. Our support in the KeY verifier automatically handles floating-point arithmetic and transcendental functions. We achieve this with a combination of delegation to external SMT solvers on one hand, and rule-based reasoning within KeY on the other, exploiting the complementary strengths of both approaches. As a result, this approach can prove functional floating-point properties for realistic programs. Second, inspired by KeY’s treatment of method calls and the need for a scalable roundoff error analysis, we present the first modular optimization-based roundoff error analysis for non-recursive procedural floating-point programs. Our key idea is to achieve modularity while maintaining reasonable accuracy by automatically computing procedure summaries that are a function of the input parameters. Technically, we extend an existing optimization-based roundoff error analysis and show how to effectively use first-order Taylor approximations to compute precise procedure summaries, and how to integrate those to obtain end-to-end roundoff error bounds. Third, our experience using SMT solvers to discharge KeY’s floating-point verification conditions revealed unexpected performance behavior, motivating a systematic study of floating-point reasoning in SMT solvers. We propose a metamorphic testing approach that uses semantics-preserving rewrite rules, focusing on floating-point special values, to uncover unexpected performance behavior in SMT solvers’ handling of floating-point formulas, such as an increase in solving time when the SMT queries are simplified. Using real-world test inputs, our approach can identify such performance bugs for every SMT solver tested.

Applied Machine Vision for Industrial Inspection and Disaster Response

Damjan Hatić — Tue, 16 Jun 2026 11:48:07 +0200

Modern society increasingly depends on visual inspection systems that must operate reliably in high-stakes environments where mistakes have serious consequences. This dissertation addresses challenges in applied computer vision: developing automated systems that match or exceed human visual judgment while providing the interpretability, efficiency, and robustness required for real-world deployment across vastly different scales and domains. Two critical areas are investigated where rapid, accurate visual assessment can mean the difference between safety and catastrophe. In manufacturing, the failure of protective thin-film coatings can lead to catastrophic equipment breakdown, yet current quality control relies on subjective human interpretation that creates bottlenecks and inconsistent standards. In humanitarian disaster response, building damage assessment is dangerous and time-consuming, creating critical delays when rapid resource allocation can save lives. These disparate problems share fundamental challenges that have resisted automation: limited annotated training data, the need for interpretable results experts can trust, and operation under resource constraints. Existing models often fail outside controlled conditions, particularly in developing regions where Western-trained models do not generalize to local materials and architectural styles. The dissertation demonstrates that problems orders of magnitude apart in spatial scale—micrometer-level surface defects to meter-scale building damage can be addressed through similar methodological approaches. For industrial applicationsfully automated quality control systems eliminate human subjectivity while providing more detailed and consistent assessment, transforming quality assurance into an integrated component of smart manufacturing compatible with Industry 4.0. For disaster response, rapid assessment using drone imagery can be deployed immediately after disasters, even where infrastructure is limited, providing standardized damage classifications that enable efficient resource allocation and faster relief coordination for Sub-Saharan African architecture that existing models cannot handle. Beyond validating a practical approach, the research yields insights into building robust computer-vision systems for high-stakes applications. Key findings demonstrate that unified approaches emphasizing feature interpretability, architectural efficiency, and systematic handling of class imbalance can bridge the gap between laboratory prototypes and production-ready systems.

Accelerating Measurements in NMR Spectroscopy and Applications in Reaction and Transport Processes

Sarah Mross — Tue, 16 Jun 2026 11:34:12 +0200

Nuclear magnetic resonance (NMR) spectroscopy is a versatile analytical technique that enables noninvasive, quantitative measurements of chemical processes and transport phenomena without calibration. In chemical engineering, three practical barriers have so far restricted its wider use: prohibitively long measurement times, insufficient sensitivity of low-gyromagnetic-ratio nuclei such as 13C NMR, and the difficulty of performing quantitative analysis under continuous-flow. This dissertation addresses all three barriers by combining targeted applications and methodological developments, with a particular focus on paramagnetic relaxation enhancement (PRE) as a strategy for improving sensitivity and accelerating measurements. The first part investigates the chemical reactivity of hydrogen sulfide (H2S) in aqueous amine solutions relevant to industrial sour~gas treatment. Quantitative 1H and 13C NMR spectroscopy demonstrate that H2S leads to protonation of the amines without forming additional reaction products. These results provide experimental validation for assumptions commonly used in thermodynamic models for the design and simulation of sour gas reactive absorption processes. The second part addresses the determination of self-diffusion coefficients of synthetic fuels by pulsed-field-gradient (PFG) NMR spectroscopy over a broad temperature range. The resulting dataset serves as valuable input for the development of an entropy-scaling approach, thereby enhancing predictive capabilities for mass transport properties. The third part focuses on overcoming limitations of benchtop NMR spectroscopy under continuous-flow conditions. Although compact instruments are attractive for process monitoring, the low sensitivity of 13C nuclei and insufficient polarization build-up restrict their applicability at high flow rates for quantitative analysis. Introducing PRE via a synthesized immobilized PRE agent, enables quantitative 13C NMR measurements of mixtures at high flow rates by significantly reducing the spin-lattice relaxation time T1. Finally, a novel concept for accelerating NMR experiments is introduced. By spatially decoupling PRE from the detection region and shuttling the sample during the inter-scan delay, rapid polarization buildup is achieved under stagnant measurement conditions. This strategy reduces 13C NMR measurement times by one order of magnitude while maintaining spectral quality and quantitative accuracy. Together, these contributions advance NMR spectroscopy as a practical tool for chemical engineering, enabling faster measurements, more reliable quantitative analysis, and improved experimental data for the modeling and monitoring of industrial processes.

Pre-service teachers’ understanding of linguistically sensitive subject teaching and academic language: Influencing factors in university education

Zuzana Münch-Manková; Juliane Müller de Acevedo — Mon, 15 Jun 2026 13:32:45 +0200

Subject teaching and learning are hardly possible without language competence; teachers are therefore required to conceptualize subject lessons in a language-aware manner. Many universities in Germany respond by offering additional modules or integrating language support into subject didactics—often without accompanying empirical research. This study examines pre-service teachers’ understanding of Linguistically Sensitive Subject Teaching and academic language, as well as factors influencing this understanding in the context of university teach¬ing, including both learning and individual beliefs. Different conceptual knowledge bases lead to diverging under¬standings of these concepts among pre-service teachers.

Zur Entwicklung von Sprach- und Vorstellungsfähigkeit im Kontext von Vorlesesituationen: Einsichten aus einer longitudinalen Vorlesestudie mit einem Kind

Petra Wieler — Mon, 15 Jun 2026 13:16:41 +0200

Schon das frühe Vorlesen mit dem kleinen Kind gilt zahlreichen Studien zufolge als „ideale Sprachlernsituation“ (Snow & Ninio 1986; Ulich 2003; Becker 2019) zugleich als eine der ersten ‚Literacy‘-Erfahrungen. Dieser Beitrag konzentriert sich auf gemeinsame Rezeptionssituationen von Mutter und Kind zum (gereimten) Bilderbuchklassiker „Das kleine Blau und das kleine Gelb“ von Lionni (1959/1962). Leitfrage dabei ist, auf welche Weise kontinuierliches vorschulisches Vorlesen sprachlichliterale und imaginative Fähigkeiten fördern kann.

Peer-to-Peer in inklusiven Lerngruppen: Peer-Feedback-Diskussionen durch kognitive Aktivierung verbessern

Katharina Böhnert — Mon, 15 Jun 2026 12:44:44 +0200

In der vorliegenden Studie werden Merkmale kognitiver Aktivierung in Peer-Feedback-Gesprächen, die dem Konzept Writing Talks nach Myhill und Newman (2016) folgen, untersucht. Insgesamt wurden 53 Peer-Feedback-Gespräche in zehn nicht aufeinanderfolgenden Unterrichtsstunden einer inklusiven Lerngruppe der 7. Klasse videografiert und daraufhin untersucht, inwieweit sie als kognitiv aktivierend beschrieben werden kön-nen. Die Ergebnisse deuten darauf hin, dass die aufgezeichneten Peer-Feedback-Gespräche insgesamt als kognitiv aktivierend bezeichnet werden können. Aus der Tatsache, dass in einigen Unterrichtsphasen jedoch noch eine starke Leitung durch die Lehrkraft notwendig war, lässt sich schlussfolgern, dass kognitiv aktivierendes Peer-Feedback zunächst trainiert werden muss.

Majuskeln als Leseanweisung nutzen: Wie gehen Schüler*innen mit rezeptiven Aufgaben zur satzinternen Großschreibung um?

Alicia Hückmann — Mon, 15 Jun 2026 12:34:01 +0200

Die explorative Studie untersucht Verbalprotokolle von 14 Siebtklässler*innen dahingehend, welche metasprachlichen Problemlösungsprozesse auftreten, wenn Groß- und Kleinbuchstaben zur strukturellen Desambiguierung genutzt werden müssen. Im Rahmen einer qualitativen Inhaltsanalyse werden Prozesse beschrieben, in denen syntaktische Kontraste isolierend (ausgehend von Einzelwörtern) und kontexterhaltend (ausgehend von der strukturellen Einbettung eines Wortes) erschlossen werden.

Erfassung wissenschaftlicher Textqualität in der Sekundarstufe II: Entwicklung und Validierung eines Ratinginstruments für die Schreibaufgabe Kontroversenreferat

Muhammed Akbulut; Sandra Reitbrecht; Sabine Schmölzer-Eibinger — Mon, 15 Jun 2026 12:09:31 +0200

Während für die Messung wissenschaftlicher Textqualität von Studierenden bereits entsprechende Ratinginstrumente entwickelt wurden, liegen für den wissenschaftspropädeutischen Kontext der Schule bisher nur wenige vergleichbare Produkte vor. In diesem Beitrag werden die Entwicklung, theoretische Fundierung und empirische Validierung eines Ratinginstruments für die Schreibaufgabe Kontroversenreferat zur Erfassung wissenschaftlicher Textqualität in der Sekundarstufe II vorgestellt. Die Ergebnisse zeigen, dass das Instrument gute bis hervorragende Reliabilitätswerte aufweist und wissenschaftliche Textqualität differenziert erfassen kann. Damit steht ein theoretisch und empirisch fundiertes Verfahren für Forschung und Unterricht zur Verfügung.

Metakognition und Sprachbetrachtung. Zur Operationalisierung metakognitiven Monitorings in der sprachbezogenen Kompetenzmessung

Franz Unterholzner; Hans-Georg Müller — Mon, 15 Jun 2026 12:00:54 +0200

Der Beitrag dokumentiert die Operationalisierung metakognitiven Monitorings im Rahmen der Pilotierung von Testaufgaben zur Sprachbetrachtung der österreichweiten Kompetenzmessung iKMPLUS (N = 1184; dritte und siebte Klassenstufe). In der Erhebung wurde Monitoring mittels globaler und lokaler Selbsteinschätzungen (Confidence Judgements) erfasst. Die Ergebnisse zeigen eine stabile Selbstüberschätzung sowie Zusammenhänge zwischen Leistung und Einschätzungspräzision, jedoch keine altersabhängige Verbesserung der Monitoring-Fähigkeit. Die Studie belegt die prinzipielle Integrierbarkeit prozedural-metakognitiver Messansätze zur Kontextualisierung von Kompetenzwerten der Sprachbetrachtung.

Multilingual classrooms and monolingual mindsets? A study on teachers' beliefs towards multilingualism

Erkam Ekinci; Tanja Rinker — Mon, 15 Jun 2026 11:52:30 +0200

Teachers’ beliefs about multilingualism influence classroom practices and, in turn, the learning opportunities of multilingual students. This study examines the beliefs of 276 teachers towards multilingualism using a questionnaire, including an internationally recognized scale. The results indicate a basic level of knowledge and awareness of multilingualism but also reveal a need for further development toward a more inclusive and resource-oriented mindset.

Positionieren in reflektiven Podcasts – Potenziale für das wissenschaftliche Argumentieren

Katja Bach — Mon, 15 Jun 2026 11:39:11 +0200

Ausgehend vom Textprozedurenansatz untersucht die vorliegende Studie, welches Potenzial Podcasts als digitales Übungsformat und Medium zwischen konzeptioneller Mündlichkeit und Schriftlichkeit zur Übung wissenschaftlicher Schreibkompetenz in der Hochschullehre bieten. Es wurden 21 Podcasts von Studierenden linguistisch analysiert. Die Ergebnisse zeigen, dass Podcasts in prozedurenorientierten Settings Möglichkeiten eröffnen, wissenschafts-sprachliche Fähigkeiten im Argumentieren zu erweitern.

The Dynamics of Word Reading Fluency in Young German Language Learners: The Role of Pseudoword Reading

Martina Röthlisberger; Britta Juska-Bacher — Mon, 15 Jun 2026 09:28:08 +0200

In transparent orthographies, decoding is typically acquired early, driven by phonological awareness and phoneme–grapheme mapping, independent of L1 or L2 status. However, among 193 L1 and 211 L2 German-speaking children, L2 learners showed delayed word reading but slightly superior pseudoword reading, likely due to weaker lexical representations; this inhibitory effect remained stable, affirming pseudoword reading as a valid fluency measure.

Mehrsprachige Kinder in ‚einsprachigen‘ Bildungseinrichtungen in Luxemburg?! Zur Inszenierung von Einsprachigkeit als Normalität in einer mehrsprachigen Gesellschaft

Jamie Genson; Christina Winter; Julie A. Panagiotopoulou — Mon, 15 Jun 2026 09:21:13 +0200

Die Studie versteht sich als Ethnografie der Mehrsprachigkeit und Frühpädagogik und untersucht Sprachpraktiken in luxemburgischen frühpädagogischen Institutionen. Die Ergebnisse lassen sich als Inszenierung von Einsprachigkeit verdichten und verweisen auf eine Diskrepanz zwischen mehrsprachigkeitsorientierter Bildungsprogrammatik, mono¬lingualisierender pädagogischer Praxis und translingualen Praktiken der Kinder.

Work, Technology, and the Paradox of Non-Use: Ethnographic Insights into AI Implementation

Jay Duane Jones — Fri, 12 Jun 2026 12:03:10 +0200

Artificial intelligence (AI) systems are increasingly implemented in organizations in pursuit of efficiency and improved knowledge management, yet day-to-day engagement often remains limited. This cumulative dissertation examines how AI systems can become consequential for organizing when engagement is selective rather than routine, asking how limited or selective engagement with AI systems can produce meaningful changes in coordination practices and organizational structure. Building on a micro-level, structuring-oriented view of technology in work practices and an ethnographic approach, this dissertation develops a cumulative process account across three manuscripts. The first establishes the conceptual and methodological groundwork for making implementation effects visible when they are not apparent through observed use. The second introduces pragmatic non-adoption to show how selective bypassing can be locally rational and organizationally sustainable under situational constraints, as actors rely on interpersonal, analog, and selectively digital coordination resources to stabilize workflow. The third coins invisible integration to explain how AI can become structurally consequential with negligible use, as its presence changes meanings, expectations, and discourse that redirect coordination over time. Taken together, the dissertation theorizes the paradox of non-use: limited or selective engagement is not the absence of implementation unfolding in practice but a mechanism through which coordination is sustained and organizational structuring emerges over time.

The Use of Artificial Intelligence as an Anti-Corruption Tool and Its Impact on Employees' (Un)Ethical Behavior

Katharina Scheer — Fri, 12 Jun 2026 11:53:08 +0200

Corruption is one of the greatest challenges of our time, and AI is viewed as a promising tool in the fight against corruption. To provide insights relevant to a successful implementation of such tools in organizations, this thesis aims to examine how employees perceive an algorithmic versus a human anti-corruption agent, and how, and under what conditions, their use influences employees’ unethical behavior, specifically employee dishonesty, like corruption, and employees’ ethical behavior, specifically employee whistleblowing. This is done by conducting four empirical studies drawing on the cognitive trust model, research on algorithm appreciation and aversion, whistleblowing, the bystander effect, and the standard economic model of rational and selfish human behavior. The first study examines how trustworthy employees perceive an algorithmic versus a human ethics agent and how the trustworthiness perceptions – perceived integrity and competence – influence employees’ preference for an algorithmic instead of a human ethics agent for dishonesty detection. Thereby, it scrutinizes the moderating role of employees’ moral attentiveness. The second study investigates how and under what conditions the use of an algorithmic rather than a human ethics agent influences employee dishonesty, considering employees’ perceived detection probability as a mediator and employees’ domain-specific technical knowledge as a moderator. Investigating employees’ perceived responsibility as a mediator, the third study examines how and under what conditions the use of an algorithmic versus a human ethics agent influences employee whistleblowing. It investigates the clarity of indications of dishonesty and employees’ perceived competence of an algorithmic compared to a human ethics agent as moderators. Finally, the fourth study complements the third by investigating how and under what conditions the type of anti-corruption agent (AI-based software vs. human) influences employees’ whistleblowing likelihood. It focuses on the same mediator as the third study and on the clarity of indications of corrupt behavior as one moderator, but adds three moral potency factors as individual moderators, and applies another methodological approach. Overall, this thesis focuses on the perspectives of employees who are directly affected by algorithmic tools’ decisions (i.e., second parties) or are informed about the use and may be affected in the future (i.e., third parties), rather than on employees who interact with these tools (i.e., first parties). Results revealed that employees perceived an algorithmic ethics agent as more trustworthy than a human agent and preferred algorithmic dishonesty detection. Employees’ perceived integrity and competence of an algorithm positively influenced their preference for an algorithmic instead of a human ethics agent for dishonesty detection. Moral attentiveness moderated the positive relationship between employees’ perceived competence of an algorithmic ethics agent and their preference, such that this relationship was significant only among employees with low moral attentiveness. Furthermore, using an algorithmic rather than a human ethics agent resulted in no differences in employees’ perceived detection probability or employee dishonesty in a high-honesty context, likely due to the internal moral costs of dishonesty. Findings on employee whistleblowing showed that using an AI-based software or an algorithmic ethics agent instead of a human counterpart did not per se lead to a diffusion of responsibility for whistleblowing to an algorithmic bystander. However, when employees perceived an algorithmic ethics agent as more competent than a human one, and indications of dishonesty were unclear, they were more likely to shift responsibility for whistleblowing to an algorithm and, in turn, engaged in less whistleblowing. Taken together, the findings indicate that while employees tend to trust AI-based anti-corruption tools and are therefore likely to support their adoption, their use does not appear to increase dishonesty in organizational contexts characterized by high internal moral costs. However, organizations should remain mindful of the potential suppression of employee whistleblowing. This thesis advances research on algorithm appreciation and aversion, particularly regarding AI as an anti-corruption tool, as well as on cognitive trust in AI, whistleblowing, the bystander effect, and integrated approaches that examine how both rational cost-benefit analysis and external and internal motives shape (dis)honest behavior.

Climate change and European forests: Impacts, adaptation, and consequences for aesthetics

Paul Averbeck — Thu, 11 Jun 2026 16:50:20 +0200

This dissertation investigates how European forests are affected by climate change, how forest practitioners perceive and respond to these impacts, and how adaptation and reforestation strategies shape the visual aesthetics of forest landscapes. By combining biophysical evidence, qualitative practitioner insights, expert assessments, and public preference assessments, the thesis develops a comprehensive understanding of forests as socio-ecological systems under increasing climate stress. Across Europe, the 2018–2022 drought period caused widespread vitality loss, intensified pest outbreaks, and substantial tree cover decline, with Central Europe experiencing the most severe impacts. Damage patterns differed markedly among regions, yet even typically resilient or high-altitude forests showed signs of stress. Persistent effects in climatically average years highlight legacy effects of drought and heat events. These findings underline Europe’s high forest vulnerability and the need for region-specific adaptation strategies. Forest practitioners widely acknowledge drought as the dominant threat to forest health, citing its effects on mortality, regeneration, and pest susceptibility. Although there is broad consensus on the need to increase species and structural diversity for adaptation, substantial differences in preferred measures persist across practitioner groups. Economically oriented practitioners tend to favor active, conifer-based management, whereas those prioritizing protection and recreation advocate for native species and more naturalistic approaches. These contrasting strategies stem not from differing views on climate impacts but from divergent management philosophies and value orientations, illustrating that adaptation is as much a social negotiation as it is the management of ecological systems. The dissertation further shows that climate change adaptation measures profoundly influence the aesthetic quality of forests—an often neglected but socially important dimension. Structural attributes such as tree size, height variation, understory density, and species composition strongly shape visual appeal. Measures that enhance structural diversity—mixed stands, multi-layered canopies, increased naturalness—tend to improve aesthetics. In contrast, interventions like leaving residues, using protective tubes, or uniform reforestation can temporarily reduce scenic quality, though many negative effects diminish as forests mature. Public preference analysis demonstrates significant temporal dynamics: reforestation strategies that appear unattractive shortly after implementation may become appealing decades later, while options that are initially appealing may lose their attractiveness over time. This highlights the importance of evaluating aesthetic outcomes across the full forest development cycle rather than at a single moment in time. Taken together, the findings underscore that climate adaptation in forestry must integrate ecological risks, practitioner perspectives, and public aesthetic values. By recognizing forests as co-evolving socio-ecological systems, the dissertation provides a foundation for adaptation strategies that are not only ecologically effective but also socially acceptable and visually appreciated—essential conditions for sustaining multifunctional forests in a changing climate.

What Does Digital Well-Being Mean for School Development? A Theoretical Review with Perspectives on Digital Inequality

Philipp Michael Weber; Rudolf Kammerl; Mandy Schiefner-Rohs — Tue, 09 Jun 2026 11:34:57 +0200

As digital transformation progresses, schools are increasingly confronted with psychosocial challenges such as technostress, digital overload, and unequal participation in digital (learning) environments. This article investigates the conceptual relevance of digital well-being for school development, particularly in relation to social inequality. Despite growing attention, the term remains theoretically underdefined in educational research—a gap addressed through a theory-driven review. Drawing on a systematic search, 25 key studies were analyzed for their conceptual understanding and refinement of digital well-being, with a focus on educational relevance. Findings suggest that digital well-being constitutes a multidimensional state shaped by individual, media-related, and socio-structural factors. It emerges when individuals are able to successfully manage the demands of digital environments and is closely linked to digital inequality—particularly in terms of access, usage practices, and the resulting opportunities for participation and health promotion. Since the institutional role of schools has thus far received limited attention, this article shifts the focus toward schools as key arenas for negotiating digital norms and practices and calls for an equity-sensitive and health-conscious perspective on school development in the context of digitalization. In doing so, digital well-being is repositioned as a pedagogical cross-cutting issue that requires coordinated efforts across all levels of the education system, highlighting that equitable digital transformation in schools depends on a critical reflection of power asymmetries within society and educational institutions. The article concludes by advocating for the systematic integration of digital well-being into school development processes as a way to support inclusive digital participation and to foster a health-oriented digital school culture.

Fate of grape pomace-derived plant phenols in soil during use as organic fertilizer

Sullivan Sadzik — Tue, 09 Jun 2026 06:28:14 +0200

The grapevine is one of the most commonly cultivated plants in the world. Every year, over \(30\times 10^{6}\,\text{t}\) are processed into wine worldwide. After pressing the grapes, \(9-30\,\%\) of the fresh weight remain in the form of grape pomace. Grape pomace is a heterogeneous mixture of grape skins, seeds and pulp. Its exact composition varies greatly depending on the vintage, grape variety and processing method. In addition to fiber, monosaccharides and proteins, grape pomace is rich in plant phenols. In Germany, the most common method of disposal is to spread it on vineyards as organic fertilizer. To date, it remains unclear what processes the phenolic compounds from the pomace undergo when introduced into the soil and what effects they have on the soil. Therefore, in this study, grape pomace from three red and three white grape varieties from the Palatinate region was examined for its properties as an organic fertilizer in vineyards. In the first step, the composition of the dry grape pomace was determined. The pomace from white grape varieties had a glucose and fructose content of \(110-180\,\text{g/kg}\) each, while the pomace from red grape varieties had a content of \(3-19\,\text{g/kg}\) each. The nitrogen content of all pomaces ranged between \(11-27\,\text{mg/kg}\). The mineral content of the pomace ranged as follows: Na: \(680-1000\,\text{mg/kg}\), K: \(12000-20000\,\text{mg/kg}\), Mg: \(560-830\,\text{mg/kg}\), Ca: \(1911-5300\,\text{mg/kg}\). The total phenolic content of the pomace from white grape varieties was \(17-23\,\text{g GAE/kg}\) and that from red grape varieties was \(45-48\,\text{g GAE/kg}\). The total tannin content of the pomace from white grape varieties was \(17-23\,\text{g GAE/kg}\), and that of red grape varieties was \(45-48\,\text{g PCE/kg}\). The main components of the phenolic profile of pomace from white grape varieties were catechin, epicatechin, and B-type procyanidins. The main components of the phenolic profile of pomace from red grape varieties were glucosides of malvidin, peonidin, petunidin, and delphinidin. Pomaces from all grape varieties contained pesticide residues. The pomace examined here was comparable in all parameters to pomace described in the literature. After applying the grape pomace to the soil as fertilizer, it is primarily subject to the influence of the weather. The leaching of plant phenols from the pomace into the soil by rain was simulated in a laboratory experiment. The experiment showed that between \(6-24\,\%\) of the total phenol content and between \(2-17\,\%\) of the condensed tannins were washed out of the pomace into the soil by rain. The relative amount washed out was independent of the pomace used. The relative phenol profile of the leachate is comparable to that of the remaining pomace. The absolute amount of individual compounds washed out depends on the substance and ranges from \(<1-40\,\%\). Hexosides of plant phenols in particular were present in reduced concentrations after irrigation. Catechin and epicatechin, as main components of the pomace, were also among the main components in the leachate. Other main components of the profile were dimeric procyanidins and gallic acid. The concentration of plant phenols from grape pomace in soil was first investigated in a laboratory experiment. In addition to fresh grape pomace, ensiled pomace was also considered as a variant of processed grape pomace. In the laboratory experiment, fresh soil from the field was mixed with dried ensiled and untreated grape pomace and examined for phenol content and composition at three time points (\(0\,\text{d}\), \(17\,\text{d}\), \(66\,\text{d}\)). The total tannin content was significantly higher in both treatments than in untreated soil only at the first time point after \(0\,\text{d}\). The total phenolic content was significantly higher at the first time point \(0\,\text{d}\) for both silage and pomace application, and at the second time point after \(17\,\text{d}\) only for silage application. The main compounds, catechin and epicatechin, were only detectable in the system at the first measurement point (\(0\,\text{d}\)). In order to record the degradation of the compounds more accurately, various known degradation products of plant phenols were screened. The concentration of protocatechuic acid in particular was able to accurately reflect the simulated degradation kinetics and was present in significantly increased amounts in the soil after \(17\,\text{d}\) in the case of silage. After \(66\,\text{d}\), no differences in the phenol profile of the treated and untreated soil were detectable. In order to verify the data obtained in the laboratory with data obtained under real conditions, an additional field trial was conducted on a vineyard. Ensiled grape pomace was applied as organic fertilizer in a vineyard, and the soil was tested for phenolic content and composition at three time points (\(19\,\text{d}\) before fertilization, \(17\,\text{d}\) and \(52\,\text{d}\) after fertilization). As expected from the laboratory test, the total phenol and total tannin content and the content of individual plant phenols remained unchanged over the period under consideration. An exception was protocatechuic acid, which was measurable in significantly higher concentrations after \(52\,\text{d}\). During the greening of the aisles \(19\,\text{d}\) before fertilization and \(52\,\text{d}\) after fertilization, increased amounts of rutin were also measurable compared to the ungreened aisles \(17\,\text{d}\) after fertilization. This effect was observed regardless of whether the alley in question was fertilized or not. In summary, it was found that when plant phenols from grape pomace are applied to soil as organic fertilizer, most of them remain in the plant material and are not washed out. There, they are either degraded or adsorbed onto soil particles within a few weeks. To date, it has been difficult to establish a direct link between the introduction of plant phenols into the soil and their effects on soil parameters. One of the biggest challenges is to evaluate the form in which the phenols are present in the soil: adsorbed, free or catabolized. This work presents a way to monitor the complex kinetics of plant phenol degradation kinetics in soil. By measuring the protocatechuic acid content in soil, the degradation of phenols and their direct catabolism products can be tracked and a connection between them and changing soil parameters can be established.

Reifegradbestimmung als Grundlage systemkompatibler Organisationsentwicklung am Beispiel der Sparkassen

Katrin Franziska Neuhäuser — Mon, 08 Jun 2026 09:49:32 +0200

Die vorliegende Arbeit untersucht, wie die Veränderungsreife von Sparkassen systematisch erfasst und für die Gestaltung von Organisationsentwicklungsprozessen nutzbar gemacht werden kann. Ziel ist die Entwicklung eines praxisorientierten Reifegradmodells, das sowohl die organisationale Veränderungsfähigkeit sichtbar macht als auch die Zusammenarbeit zwischen Kunden- und Beratersystem unterstützt. Auf Basis systemtheoretischer Ansätze sowie einer Verknüpfung des Trafo-Modells von HR-Pioneers mit dem Acht-Stufen-Modell nach Kotter wurde ein explorativ-qualitatives Forschungsdesign umgesetzt. Hierzu wurden leitfadengestützte Interviews mit Vertreterinnen und Vertretern von Sparkassen sowie der Organisationsentwicklung der Sparkassenakademie Baden-Württemberg durchgeführt und mittels qualitativer Inhaltsanalyse ausgewertet. Die Ergebnisse zeigen, dass sich Veränderungsreife in unterschiedlichen Mustern organisationaler Wahrnehmung, Kommunikation und Entscheidungsfindung ausdrückt. Daraus wurde ein Reifegradmodell mit den Dimensionen Strategie, Führung, Struktur, Prozesse, HR und Kultur sowie drei idealtypischen Reifegradstufen entwickelt. Das Modell ermöglicht eine differenzierte Standortbestimmung organisationaler Veränderungsfähigkeit und bietet eine Grundlage für die systemkompatible Gestaltung von Veränderungsvorhaben. Gleichzeitig unterstützt es eine wirksame Kopplung zwischen Kunden- und Beratersystem und leistet damit einen Beitrag zur Weiterentwicklung systemischer Organisationsentwicklung im Sparkassenkontext.