TY - GEN A1 - Pöhlmann, Kendra T1 - Bildung für Nachhaltige Entwicklung – Achtsamkeit als Future Skill N2 - Das Poster beleuchtet die Rolle von Achtsamkeit als zentrale Zukunftskompetenz im Kontext von Bildung für nachhaltige Entwicklung (BNE). Ausgangspunkt ist die Annahme, dass nachhaltige Transformation nicht allein durch Wissen über die Sustainable Development Goals (SDGs) gelingt, sondern maßgeblich innere Kompetenzen erfordert, wie sie in den Inner Development Goals (IDGs) beschrieben werden. Achtsamkeit wird dabei als grundlegender Baustein von Selbst- und Reflexionskompetenz verstanden und bildet die Voraussetzung für Fähigkeiten wie Perspektivenwechsel, Ambiguitätstoleranz und verantwortungsvolles Handeln. Das Poster integriert verschiedene Kompetenzrahmen (Future Skills, IDGs, Rounder Sense of Purpose) und zeigt deren konzeptionelle Schnittmengen auf. Es argumentiert, dass Achtsamkeit nicht nur individuelle Entwicklung unterstützt, sondern als Hebel für kollektive Transformationsprozesse wirkt. Für die Hochschullehre ergibt sich daraus die Implikation, Achtsamkeit systematisch in fachliche Kontexte zu integrieren, um Studierende zur aktiven Mitgestaltung nachhaltiger Entwicklung zu befähigen. KW - Bildung für nachhaltige Entwicklung; Transformationskompetenz; innere Entwicklung Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90168 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Diversity: Important, Fair, and Sustainable – But Often Overlooked in AI Applications N2 - In the era of digital transformation, the intersection of sustainability and AI has emerged as a critical area of research. My poster delves into the intricate relationship between these two domains, highlighting their potential to shape a more equitable and sustainable future. One significant facet of this is diversity. But diversity, as a vital component of the social dimension of sustainability, is frequently sidelined in the discourse surrounding digitalization and AI, despite its potential to synergize with these technologies in forging a fairer and more sustainable world. Digital solutions frequently lack inclusivity and emancipation, exacerbating disparities in access and opportunity. AI tools, likewise, often perpetuate bias and inequality by being trained on homogeneous datasets, overlooking factors such as gender, ability, and ethnicity. To address this oversight, it is imperative to incorporate diversity and sustainability education into the training of future IT specialists and AI engineers. Developing ethical awareness and the ability to critically reflect on biases within AI systems is essential to avoid reproducing biases and stereotypical thinking. This is why it is imperative to emphasizes the urgency of recognizing diversity as a key enabler of fairness and sustainability within the digital transformation landscape. KW - Digital Transformation; Diversity; Sustainability Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90156 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Diversity: Important, fair, and sustainable – but often overlooked in AI applications N2 - In the era of digital transformation, the intersection of sustainability and AI has emerged as a critical area of research. My research delves into the intricate relationship between these two domains, highlighting their potential to shape a more equitable and sustainable future. One significant facet of this is diversity. But diversity, as a vital component of the social dimension of sustainability, is frequently sidelined in the discourse surrounding digitalization and AI, despite its potential to synergize with these technologies in forging a fairer and more sustainable world. Digital solutions frequently lack inclusivity and emancipation, exacerbating disparities in access and opportunity. AI tools, likewise, often perpetuate bias and inequality by being trained on homogeneous datasets, overlooking factors such as gender, ability, and ethnicity. To address this oversight, it is imperative to incorporate diversity and sustainability education into the training of future IT specialists and AI engineers. Developing ethical awareness and the ability to critically reflect on biases within AI systems is essential to avoid reproducing biases and stereotypical thinking. This is why my research emphasizes the urgency of recognizing diversity as a key enabler of fairness and sustainability within the digital transformation landscape. KW - Diversity; Digital Transformation; Sustainability Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90170 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Research Based Spin-Offs: Understanding the specifics of Best Performers N2 - This presentation investigates the success factors of research-based spin-offs, with a particular focus on the differences between best and worst performers. Based on an empirical study of German spin-offs originating from public research institutions, key influencing factors such as team size, degree of innovation, market conditions, and the role of the parent organization are analyzed. The findings indicate that spin-off success is shaped by a combination of entrepreneurial, technological, and contextual factors, and varies depending on the applied performance measure (e.g., growth, financial performance, or technological output). The study provides nuanced insights into the mechanisms of successful knowledge and technology transfer and derives implications for both research institutions and founders. KW - Research-based spin-offs; technology transfer; success factors Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90181 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Similarities and Differences of Research-based and Corporate Spin-offs: Theoretical Thoughts, Research Design and Expected Implications N2 - This presentation explores the similarities and differences between research-based spin-offs and corporate spin-offs, addressing a key gap in the entrepreneurship and innovation literature. While both types of ventures aim at commercializing knowledge and generating economic value, they emerge from distinct institutional contexts and may therefore rely on different success factors. Building on existing research on research-based spin-offs, the study develops a comparative conceptual framework that integrates perspectives from the resource-based view and industrial economics. It examines dimensions such as founder characteristics, motivation structures, knowledge bases, and relationships with parent organizations. The proposed research design aims to systematically contrast both spin-off types and assess the transferability of established success factors. The paper contributes to a more differentiated understanding of spin-off heterogeneity and derives implications for improving commercialization processes in both academic and corporate contexts. KW - Spin-offs; Knowledge Transfer; Commercialization Process Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90198 ER - TY - THES A1 - Bachl, Hannes T1 - Initial 5G synchronisation using a time-domain correlator N2 - The following Bachelor’s thesis explores the implementation of a fre- quency correlator in the time-domain as required for the initial synchro- nisation in 5G mobile networks. Exact time domain synchronisation is required for modern mobile networks to allow reconstruction of the em- ployed physical modulations schemes without producing excessive amounts of interference. This is the first step in the discovery process of mobile radio cells. Initial the theoretical foundations of time synchronisation mechanisms as used in 5G networks are explored, including the physical modulation schemes employed. The different implementations of the synchronisa- tion algorithms are considered and a single algorithm is chosen for im- plementation. The chosen algorithm is then implemented and the implementation and findings are discussed. The hardware basis for the implementation is a Xilinx RFSoC, a high speed FPGA with associated analog-to-digital con- verts designed for RF signal processing. Finally there will be a discussion of possible optimisations and problems encountered during implementation. Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-89048 CY - Regensburg ER - TY - JOUR A1 - Stenglein, Anna A1 - Appelt, Andreas T1 - Einsatz der Thermographie als Steuerungsinstrument im Asphaltbau – Erkenntnisse aus Erprobungsstrecken mit temperaturabgesenktem Asphalt JF - Straße und Autobahn N2 - Die Sicherstellung homogener Einbautemperaturen ist eine zentrale Voraussetzung für eine dauerhafte Asphaltbefestigung. Dieser Beitrag stellt Ergebnisse aus der wissenschaftlichen Begleitung zweier Erprobungsstrecken zum Einsatz von temperaturabgesenktem Walzasphalt vor. Mithilfe von Thermoscannern wurden die Oberflächentemperaturen des eingebauten Mischguts flächendeckend erfasst und georeferenziert ausgewertet. Die Analyse zeigt, dass insbesondere Lkw-Wechselstellen, Fertigerstillstände und komplexe Einbausituationen zu ausgeprägten Temperaturgradienten führen. Bei temperaturabgesenkten Asphalten wirkt sich dies aufgrund des eingeschränkten Verdichtungszeitfensters besonders kritisch aus. Die Untersuchungen verdeutlichen, dass Thermoscans über ihre dokumentierende Funktion hinaus als wirksames Instrument der bauprozessintegrierten Qualitätskontrolle eingesetzt werden können. Sie unterstützen die Ausführung, indem thermisch bedingte Schwachstellen frühzeitig erkannt und gezielte Anpassungen im Bauprozess ermöglicht werden. Darüber hinaus werden die Abschiebetechnik und ihre Eignung als Alternative zur Kipptechnik mit Beschicker hinsichtlich Temperaturhomogenität und logistischer Randbedingungen bewertet. T2 - Use of thermography as a control tool in asphalt construction – findings from test sections with temperature-reduced asphalt Y1 - 2026 UR - https://www.kirschbaum.de/fachzeitschriften/strasse-und-autobahn/strasse-und-autobahn/aktuelles-heft-47-1.html#c12609 U6 - https://doi.org/10.53184/STA3-2026-3 VL - 77 IS - 3 SP - 182 EP - 191 PB - Kirschbaum Verlag GmbH ER - TY - INPR A1 - Gaube, Susanne A1 - Jussupow, Ekaterina A1 - Kokje, Eesha A1 - Khan, Jowaria A1 - Bondi-Kelly, Elizabeth A1 - Schicho, Andreas A1 - Kitamura, Felipe Campos A1 - Koch, Timo Kevin A1 - Ezer, Timur A1 - Mottok, Jürgen A1 - Lermer, Eva A1 - Ghassemi, Marzyeh A1 - Colak, Errol T1 - Examining Reliance Patterns on AI Advice in Medical Imaging: a Mixed-Methods Randomized Crossover Experiment N2 - Background: Artificial intelligence (AI) holds significant potential to support diagnostic decision-making; however, evidence regarding its clinical utility remains mixed. Often, the collaboration between clinicians and AI systems does not surpass the individual performance of unaided humans or standalone AI. Yet, currently, the mechanisms that limit human-AI synergy are poorly understood. This study examined the impact of AI advice on diagnostic decision-making among experts and novices, focusing on reliance patterns. Methods: We used a mixed-methods crossover experimental design with a think-aloud and an eye-tracking study arm. Participants were 50 task experts (radiologists) and 75 novices (non-radiologist physicians and medical trainees) from 10 countries. They reviewed 50 head CT scans and every case was examined in three time-separate sessions in randomized order. In each session, participants were exposed to different experimental conditions: (a) control, no AI prediction; (b) basic advice, AI prediction without annotations; and (c) XAI advice, AI prediction with scan annotations. For each case, participants had to determine if the patients had an intracranial hemorrhage (ICH). The main outcomes were diagnostic performance, confidence in the diagnosis, case reading time, and AI advice usefulness ratings. Findings: Both overreliance on incorrect advice and underreliance on correct advice occurred. Underreliance was associated with high uncertainty and, in absolute terms, had a more detrimental impact on diagnostic performance than overreliance. Correct XAI advice reduced underreliance, improved performance (OR=1·84, p<0·0001), and confidence (b=0·15, p<0·0001), particularly when reviewing more difficult cases with ICH. Surprisingly, correct XAI did not reduce reading time (b=1·81, p=0·0713). XAI was perceived as more useful than basic AI advice (b=0·12, p=0·0029), especially among novices. Interpretation: The occurrence of both under- and overreliance highlights the need for efficient counterstrategies beyond classic XAI methods to foster appropriate reliance and synergy. Y1 - 2026 U6 - https://doi.org/10.31219/osf.io/4wv8j_v3 ER - TY - INPR A1 - Achhammer, Anton A1 - Fioriti, Davide A1 - Patonia, Aliaksei A1 - Sterner, Michael T1 - The impact of hydrogen underground storage on fair partnerships: a GIS-based integration of salt caverns into PyPSA-Earth N2 - The increasing demand for hydrogen in Europe and the development of cross-border infrastructure, such as the SoutH2 Corridorconnecting Tunisia, Italy, Austria, and Germany, underscore the importance for hydrogen storage solutions to ensure supplysecurity and competitive pricing. Without storage, producers face increased market dependency, as electrolyzers require con-tinuous operation to remain economically viable. At the same time, storage offers opportunities to strengthen domestic valuechains by securing hydrogen supply for local industries. To assess the system-level impact of underground hydrogen storageand its implications for hydrogen partnerships, we integrate GIS-based salt cavern potentials into PyPSA-Earth and apply theframework to Tunisia. Salt caverns are currently largely considered the most economical option for large-scale hydrogen storage,offering operational flexibility. Underground storage is represented as an endogenously optimised, regionally constrained option,enabling a direct comparison between scenarios with and without geological storage under identical demand, technology, andpolicy assumptions.Our results show that underground hydrogen storage enables seasonal balancing at multi-terawatt-hour scale, reshaping hydro-gen system design. Storage availability substitutes most aboveground hydrogen tank capacity, improves electrolyser utilisation,and reduces levelised hydrogen production costs by approximately 0.10 € kg−1. Moreover, it decouples hydrogen production fromshort-term electricity variability and export demand, enhancing supply stability and export competitiveness.Beyond the Tunisian case, the findings underscore the strategic role of geological storage in international hydrogen trade. Byincreasing resilience and reducing cost volatility, underground hydrogen storage strengthens the position of exporting regionsand supports more balanced and sustainable hydrogen partnerships. KW - Energy Transition KW - Hydrogen export KW - hydrogen underground storage KW - Hydrogen prices KW - salt caverns KW - Power-to-X KW - PyPSA-Earth Y1 - 2026 U6 - https://doi.org/10.2139/ssrn.6307406 PB - SSRN ER - TY - INPR A1 - Falter, Thomas T1 - Werkstattbericht: Erfahrungen aus der Zusammenarbeit mit KI-Agenten für individualisiertes Lernen N2 - DDer Artikel reflektiert praxisbasiert und philosophisch die Zusammenarbeit von Menschen mit KI-Agenten – insbesondere im Kontext des Lernens von Skills auf Experten-Level im Hochschulbereich. Am Beispiel der Entwicklung des KI-unterstützten Multiagentensystem LASSI, das Lernen unterstützt, wird eine Lernreise in drei Phasen erzählt – vom produktiven Staunen über die Verschiebung von Autorenschaft bis hin zur Übernahme von Verantwortung. Die Perspektiven von Entwickler, Professor und Studierenden zeigen, wie sich Mensch-Agenten-Systeme durch Zusammenarbeit verändern. Ergänzend werden drei philosophische Dimensionen – Embodied Knowledge, Enhanced Technologies und Embedded Ethics – herangezogen, um Potenziale und Risiken dieser Systeme zu beleuchten: Was passiert, wenn Intelligenz entkörperlicht, menschliche Fähigkeiten an Technologien ausgelagert und Werte kodiert werden? Der Text plädiert dafür, Agenten nicht als neutrale Werkzeuge, sondern als Mitgestalter im Soziotechnischen System Bildung zu begreifen. In der Schlussbetrachtung wird die Hochschule als Denkwerkstatt skizziert, die durch KI ihre Rolle neu definieren muss: weg vom Prüfungsbetrieb hin zu einem Raum für Urteilskraft und Selbstreflexion. Lernen mit und von Agenten heißt: Lernen neu denken – gemeinsam gestalten. Y1 - 2026 U6 - https://doi.org/10.13140/RG.2.2.20204.63360 ER -