TY - JOUR A1 - Schroll-Decker, Irmgard T1 - Christina Hansen, Kathrin Plank (Hrsg.): Im Zwiegespräch mit Janusz Korczak. Was wir im Europa des 21. Jahrhunderts vom „Weltenwanderer, Tabubrecher und Kräftezähmer“ lernen können JF - Socialnet Rezensionen Y1 - 2024 UR - https://www.socialnet.de/rezensionen/32917.php PB - Socialnet GmbH CY - Bonn ER - TY - JOUR A1 - Wolfgramm, Alex A1 - Abb, Valerius A1 - Samp, Artur A1 - Samp, Rafal A1 - Hoffmann, Jens Christoph A1 - Müller, Rainer A1 - Kammler, Martin T1 - Structural and functional evolution of HKUST-1 nanoparticles induced by ball milling JF - Next Materials N2 - In this study, the effect of post-synthetic ball milling on the structural and functional properties of as-synthesized nanoparticles of the copper-based metal-organic framework (MOF) HKUST-1 was investigated for the first time. Nanoparticles were synthesized using sodium formate as a capping agent. The crystalline particles were subjected to a controlled ball milling process, which induced significant structural changes. Powder X-ray diffraction (PXRD) revealed a reduction in crystallite size from 91 nm to 21 nm and the introduction of microstrain, partially disrupting the MOF's long-range crystalline order, as evidenced by peak broadening and the diminished intensity of high-angle reflections. Particle morphology pre- and post-milling was further studied with scanning electron microscopy (SEM) imaging, verifying a narrow particle size distribution of ± 22 nm after milling. Fourier-transform infrared spectroscopy (FTIR) indicated protonation of carboxylate groups in the larger pores of the framework, likely due to moisture incorporation during milling. Brunauer-Emmett-Teller (BET) surface area analysis showed a substantial decrease in specific surface area from 521 m²/g to 226 m²/g, suggesting a partial collapse of the porous framework. We discuss the applicability of ball milling as a versatile means of post-synthetic approach to reduce MOF particle sizes, a key element in the preparation of MOF-based thin films using inks or polymers. KW - Ball milling KW - Copper-based metal-organic framework KW - HKUST-1 KW - Nitrogen adsorption Y1 - 2026 U6 - https://doi.org/10.1016/j.nxmate.2025.101544 N1 - Corresponding author der OTH Regensburg: Alex Wolfgramm VL - 10 PB - Elsevier ER - TY - JOUR A1 - Schumm, Leon A1 - Haas, Jannik A1 - Peer, Rebecca A1 - Sterner, Michael T1 - The role of hydrogen offtaker regulation in highly renewable electricity systems JF - Energy N2 - The growing demand for green hydrogen necessitates a rapid scale-up of production and exports to meet decarbonization targets globally. However, current ramp-up efforts remain insufficient, calling for policies that unlock the potential of hydrogen as a low-carbon energy carrier. A key lever is the offtaker regulation, which impacts the pace and sustainability of export projects. This study investigates minimum renewable share requirements for hydrogen exports in countries with high renewable electricity shares. Using New Zealand as a case study, we develop a fully sector-coupled capacity expansion and dispatch model, integrating hydrogen and electricity network planning based on PyPSA-Earth. The model optimizes New Zealand’s energy system under varying export scenarios, renewable electricity shares, and resulting system impacts. We find that domestic electricity demand and renewable expansion rates dominate long-term outcomes, while progressive regulation enables short-term hydrogen and Power-to-X exports. Relaxing the renewable threshold from 80% to 60% triples export volumes from 2.5 TWh to 8.2 TWh by 2030. We propose a two-stage requirement: an initially progressive threshold to attract investment with low consequential emissions, followed by stricter regulation to prevent high emissions, rising domestic electricity prices, and declining hydrogen competitiveness. This framework, demonstrated for New Zealand, can guide hydrogen-exporting countries worldwide. KW - Climate neutrality KW - e-fuels KW - Emission intensity KW - Energy systems modelling KW - Hydrogen exports KW - Hydrogen offtaker regulation KW - Power-to-X Y1 - 2026 U6 - https://doi.org/10.1016/j.energy.2025.139513 N1 - Corresponding author der OTH Regensburg: Leon Schumm VL - 342 PB - Elsevier ER - TY - JOUR A1 - Afanasev, Anna A1 - Höfer, Philipp A1 - Holtmannspötter, Jens A1 - Zimmer, Felix A1 - Ehrlich, Ingo T1 - Development of a continuous fiber-reinforced 3D printing process with a 6-axis robot arm: Process design and equipment JF - The International Journal of Advanced Manufacturing Technology N2 - The utilisation of 3D printing processes in the fabrication of continuous fiber-reinforced composites confers a multitude of advantages, in particular flexible design based on structural requirements. In order to achieve greater flexibility, there is a necessity for 3D printing systems that allow for customisable material selection and fiber positioning. This paper presents the design of a robot-based 3D printing system that incorporates an in-situ impregnation line and flexibility regarding the machine code generation for fiber positioning. The development of the system enabled the attainment of an average fiber volume content of up to 37.12%. In the tensile tests, material characteristics up to E1 = 24.7 GPa and strength of up to RM1 = 0.51 GPa were determined. Y1 - 2026 U6 - https://doi.org/10.1007/s00170-025-17263-3 SN - 0268-3768 N1 - Corresponding author der OTH Regensburg: Anna Afanasev PB - Springer ER - TY - JOUR A1 - Heinz, Florian A1 - Schildgen, Johannes T1 - Experience Report: Hey LLM, Generate SQL! JF - Datenbank-Spektrum N2 - Large Language Models have advanced to a resourceful tool with many applications. One particularly interesting use case is the LLM-aided generation of ad-hoc database queries and the possibility of subsequent processing of the results in a way suiting the users intents. In this article, practical ways and experiences are described on how to effectively use LLMs to map a natural-language user query to an SQL query conforming to a specific database schema and post-processing the results of this query in order to, for example, create an appealing visualization. Best results are achieved under favorable circumstances, as, for example, a clean and meaningful named database schema. Y1 - 2025 U6 - https://doi.org/10.1007/s13222-025-00512-w N1 - Corresponding author der OTH Regensburg: Florian Heinz VL - 25 IS - 2 SP - 95 EP - 101 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Korzec, Dariusz A1 - Freund, Florian A1 - Doelfs, Isabelle A1 - Zacherl, Florian A1 - Kudala, Lucas A1 - Rabl, Hans-Peter T1 - Low-Current High-Voltage Pulsed Atmospheric Arc Plasma Jet: Nanoparticle Emission from the Cathodic Spot JF - Plasma N2 - The atmospheric pressure plasma jet (APPJ) is a popular type of cold atmospheric plasma (CAP). APPJs based on a pulsed atmospheric arc (PAA) are widely spread in industrial processing. A plasma jet of this type, PlasmaBrush PB3 (PB3), is a subject of diverse research activities. The characteristic feature of PB3 is the generation of a low-current (300 mA), high-voltage (1500 V) pulsed (54 kHz) atmospheric arc. A gas flow vortex is used to stabilize the arc and to sustain the circular motion of the cathodic arc foot. During long periods of operation, nozzles acting as arc discharge cathodes erode. Part of the eroded material is emitted as nanoparticles (NPs). These NPs are not wanted in many processing applications. Knowledge of the number, type, and size distribution of emitted NPs is essential to minimize their emissions. In this study, NPs in the size range of 6 to 220 nm, emitted from four different nozzles operated with PB3, are investigated. The differences between the nozzles are in the eroded surface material (copper, tungsten, and nickel), the diameter of the nozzle orifice, the length of the discharge channel, and the position of the cathodic arc foot. Significant differences in the particle size distribution (PSD) and particle mass distribution (PMD) of emitted NPs are observed depending on the type and condition of the nozzle and their operating time. Monomodal and bimodal PMD models are used to approximate emissions from the nozzles with tungsten and copper cores, respectively. The skew-normal distribution function is deemed suitable. The results of this study can be used to control NP emissions, both to avoid them and to utilize them intentionally. KW - arc discharge KW - atmospheric pressure plasma jet (APPJ) KW - cathode erosion KW - cathodic spot KW - electrode erosion KW - low-current high-voltage pulsed atmospheric arc KW - nanoparticles KW - particle mass distribution (PMD) KW - particle number distribution (PND) KW - pulsed atmospheric arc (PAA) Y1 - 2025 U6 - https://doi.org/10.3390/plasma8040044 N1 - This article belongs to the Special Issue Feature Papers in Plasma Sciences 2025 VL - 8 IS - 4 PB - MDPI ER - TY - JOUR A1 - Fillenberg, Barbara A1 - Reismann, Lydia A1 - Jochem, Carmen A1 - Pröhmer, Rahel A1 - de Ponte, Ulrike T1 - Planetare Gesundheit erfordert vernetztes Denken: ein blinder Fleck in der Bloomʼschen Lernzieltaxonomie? JF - Zeitschrift für Hebammenwissenschaft Y1 - 2025 U6 - https://doi.org/10.1007/s44476-025-00015-3 VL - 13 IS - 2 SP - 74 EP - 78 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Dünnweber, Jan A1 - Lorenz, Marcel A1 - Bräu, Fabian A1 - Saito, Hiroshi A1 - Melzer, Matthias T1 - Driving out the Bears from the Suburbs by Means of Location Theory and Intelligent Agents T2 - Proceedings of the ACM 12th International Conference on Animal-Computer Interaction, ACI 2025: The International Conference on Animal-Computer Interaction ; Indiana USA ; 01-04.12.2025 N2 - Due to the recent surge in bear attacks, affected municipalities have taken various measures to drive out the intruders. Political considerations include, in many places, the expansion of shooting permits. More and more regional governmental authorities invest in technologies for efficient bear hunting, such as IP cameras and computer vision. From an ecological perspective, such procedures, which are all solely aimed at decreasing the bear population, are questionable, since ecosystems can benefit from a peaceful coexistence of bears with humans: Bears remove animal carcasses and thus return vital nutrients to the soil and prevent the spread of diseases. Moreover, the bears keep the deer population in check, which is advantageous for the forest vegetation. Conflicts start, once the bears intrude populated areas, which are often rural villages and suburbs with a low population density. Naturally, bears do not see humans as prey and respect their size. When the animal attacks, this happens rather for territorial or protective reasons, e. g., after an unexpected encounter with humans unsettled it. In this work, we analyze means to eradicate the danger: We dynamically apply Weiszfeld’s algorithm for finding the shifting geometric median between time-windowed black bear sightings and use the results for implementing an early warning system. In addition, we weigh the spotted locations and predict the expected migration behavior between bear habitats using a simulation with intelligent agents. As a case study, we apply our software to data from Romania and Fukushima and identify the positions where bear repelling facilities should be placed most effectively. Y1 - 2025 SN - 9798400721236 U6 - https://doi.org/10.1145/3768539.3768546 PB - ACM CY - New York, NY, USA ER - TY - CHAP A1 - Lehmann, Lukas A1 - Herrmann, David A1 - Schaeffer, Leon A1 - Albaik, Mohammed A1 - Müller, Emily A1 - Rizzello, Gianluca A1 - Böhm, Valter T1 - Biomimetic Auxetic Compliant Tensegrity Metamaterial with Tunable Poisson's Ratio for the Application as a Soft Robotic Skin T2 - 2025 IEEE International Conference on Cyborg and Bionic Systems (CBS), Beijing, China ;10/17/2025 - 10/19/2025 N2 - The use of compliant tensegrity grids offers significant potential for adaptive and lightweight systems for applications in soft robotics. This paper presents foundational investigations into a new class of auxetic tensegrity metamaterials. This work demonstrates that the auxetic behavior of a tensegrity grid can be realized and tuned solely through the mechanical properties of tensioned members, without altering the equilibrium geometry, offering a key advantage over conventional auxetic structures with fixed topologies. To validate the concept, 3D-printed demonstrators are manufactured, tested and a possible application as a cylindrically shaped soft robotic skin is shown. Y1 - 2025 SN - 979-8-3315-9742-9 U6 - https://doi.org/10.1109/CBS65871.2025.11267590 SP - 188 EP - 193 PB - IEEE ER - TY - CHAP A1 - Nadimpalli, Vamsi Krishna A1 - Maier, Robert A1 - Staufer, Susanne A1 - Röhrl, Simon A1 - Ezer, Timur A1 - Grabinger, Lisa A1 - Hauser, Florian A1 - Mottok, Jürgen ED - Gómez Chova, Luis ED - González Martínez, Chelo ED - Lees, Joanna T1 - EXPERT SURVEYS TO REAL TIME ADAPTATION OF LEARNING PATHS T2 - ICERI2025 Proceedings N2 - Learning management systems rely on adaptive algorithms that use learner preferences to personalize the instructional content in form of learning paths. However, these preferences are uncertain in nature, and change over time. The present solutions are either static or purely data-driven missing the dynamic adaption to changes in the preferences and infusion of pedagogical nuances respectively. This paper introduces an extended variant of Nestor, our Bayesian network engine that models personality traits, learning styles, and learning strategies. This extension overlays a lightweight rule-based mechanism whose “secret recipe’’ lies in the infusion of expert-derived weights adapting learning paths dynamically whenever a learner selects new material in Moodle. To parameterise these rules, we conducted a structured survey with 12 hand-picked professors and researchers in educational science. Each expert responded to 4 demographic items and 12 item that are distributed across algorithm-overview, scenario-based, and example-based categories, thereby supplying the nuanced weightings that result the personalised recommendations. This hybrid system (Nestor plus the expert-infused rule layer) operated during the winter term of 2025. 18 students completed an end-of-term questionnaire. Although their learning gains were not recorded, the majority of respondents reported positive or neutral experiences with the dynamically adapted learning paths. The {Future work} will compare three engines: (i) the present dynamic, expert-infused rule layer on top of the static Bayesian network, (ii) purely data-driven machine-learning models that neglect expert weighting, and (iii) the original static-adaptation Bayesian network without rules. Analyses of log files, intermediate satisfaction surveys, and pre/post term surveys will clarify whether this on-the-fly adaptation and pedagogical nuance lead to measurable learning benefits. Y1 - 2025 U6 - https://doi.org/10.21125/iceri.2025.1571 SP - 5677 EP - 5687 PB - IATED ER - TY - CHAP A1 - Schaffer, Josefa A1 - Ezer, Timur A1 - Röhrl, Simon A1 - Hauser, Florian A1 - Staufer, Susanne A1 - Nadimpalli, Vamsi Krishna A1 - Grabinger, Lisa A1 - Antoni, Erika A1 - Mottok, Jürgen ED - Gómez Chova, Luis ED - González Martínez, Chelo ED - Lees, Joanna T1 - EYE TRACKING GLASSES IN EDUCATIONAL SETTINGS: GUIDELINES ON DATA QUALITY T2 - ICERI2025 Proceedings N2 - Eye movement modeling examples, so-called EMME videos, are a valuable tool in education, helping learners better understand instructional content. Like conventional educational videos, EMME videos combine text, images, and voiceovers. However, they also display the instructor’s or teacher’s gaze, guiding learners attention to key elements. Although various approaches exist for creating EMME videos, there is currently no standardised guideline for ensuring gaze data quality. Eye tracking technology is essential to capture gaze behaviour, and in educational settings without a fixed computer monitor – such as when using blackboards or conducting live experiments – the usage of mobile eye tracking glasses is beneficial. An accuracy study is conducted using mobile eye tracking glasses to provide empirical guidance for the development of high-quality educational EMME videos and ensure that the instructor’s or teacher’s gaze is captured with high precision. The study uses the Tobii Pro Glasses 3 and involves a static and a dynamic setup with 34 participants. To gain insight into the effects of visual impairments on accuracy, we also include participants who wear contact lenses. In the static setup, participants are seated at a desk with a headrest and focus on a poster with nine fixation points. In the dynamic setup, participants are walking in a controlled half-circle around the poster while maintaining focus on its centre. Each setup is performed multiple times under varying lighting levels (300 lux, 700 lux) and distances between participant and poster (80 cm, 120 cm, 180 cm). This enables the simulation of diverse educational environments, including the possibility of a teacher’s or instructor’s movement. The study results will be evaluated regarding lighting conditions, the distance between the person wearing eye tracking glasses and the object, and possible influences of contact lenses. Based on these findings, favourable conditions for creating EMME videos in educational settings are collected, especially when working without a fixed computer monitor. The results address the outlined research gap by providing instructors and teachers with guidelines enabling them to produce high-quality educational EMME videos. Y1 - 2025 U6 - https://doi.org/10.21125/iceri.2025.1419 SP - 5027 EP - 5038 PB - IATED ER - TY - CHAP A1 - Kart, Mehmet A1 - Zimmer, Veronika ED - Arslan, Emre ED - Bozay, Kemal T1 - Antimuslimische Einstellungen junger Menschen in Deutschland: Erkenntnisse aus einer bundesweiten Befragung T2 - Symbolische Ordnung und Rassismuskritik N2 - In den letzten Jahrzehnten hat die zunehmende Pluralisierung der Gesellschaft zu intensiven Debatten über kulturelle, religiöse und nationale Identitäten geführt. Studien zeigen eine Zunahme demokratiefeindlicher Einstellungen in der deutschen Gesellschaft. Insbesondere Muslim:innen und Menschen, die als solche wahrgenommen werden, sind von Vorurteilen betroffen, die durch rechtspopulistische Narrative verstärkt werden. Dabei wird auch die Bedeutung der symbolischen Macht nach Bourdieu deutlich. Bestehende Hierarchien und Stereotypen führen zu sozialer Ausgrenzung und Diskriminierung von Muslim:innen. Die symbolische Gewalt manifestiert sich in rassistischen Strukturen und islamfeindlichen Demonstrationen. Dieser Beitrag präsentiert Ergebnisse einer Befragung zu antimuslimischen Einstellungen junger Menschen zwischen 16 und 27 Jahren in Deutschland. Die Ergebnisse zeigen, dass antimuslimische Einstellungen durch intensiven Kontakt mit Muslim:innen verringert werden können, insbesondere durch interethnische Freundschaften. Auf Basis der Kontakthypothese wird betont, dass freiwillige, gleichberechtigte Begegnungen in einem kooperativen Kontext Vorurteile abbauen können. Somit zeigt die Studie die Notwendigkeit auf, interkulturelle Begegnungen und Bildungsmaßnahmen zu fördern, um gegenseitiges Verständnis zu stärken. Zudem wird die Bedeutung von sicheren Räumen und Empowerment für junge Muslim:innen hervorgehoben, um ihre Partizipation und Selbstwirksamkeit zu fördern. Y1 - 2026 SN - 978-3-658-48145-2 U6 - https://doi.org/10.1007/978-3-658-48146-9_6 SP - 113 EP - 149 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Alhulaibi, Ayham A1 - Frauenschläger, Tobias A1 - Mottok, Jürgen T1 - Towards Post-Quantum-Ready Automated Certificate Lifecycle Management in Operational Technology T2 - SECURWARE 2025, The Nineteenth International Conference on Emerging Security Information, Systems and Technologies, 26.-30.10.2025, Barcelona N2 - Operational Technology (OT) systems increasingly depend on robust and automated certificate lifecycle management to maintain secure operations across long device lifespans and constrained environments. As quantum-capable adversaries emerge, these systems must also support cryptographic agility and prepare for a seamless transition to Post-Quantum Cryptography (PQC). This work presents a crypto-agile, post-quantum-ready testbed architecture that extends existing standards, such as Enrollment over Secure Transport (EST) and Bootstrapping Remote Secure Key Infrastructure (BRSKI), to support hybrid certificates, hardware-based key storage, and protocol flexibility for device bootstrapping and certificate management. A work-in-progress prototype implementation demonstrates support for both traditional and PQC algorithms across device types. Planned evaluations target performance on constrained devices, PQC readiness, and compatibility with alternative protocols. The system lays a foundation for secure and standards-compliant certificate management in future-proof OT deployments. KW - Automated Device Onboarding KW - BRSKI KW - Operational Technology Security. KW - Post-Quantum Cryptography KW - Public Key Infrastructure KW - Security Token Y1 - 2025 UR - https://www.thinkmind.org/library/SECURWARE/SECURWARE_2025 SN - 978-1-68558-306-4 SP - 112 EP - 116 PB - IARIA ER - TY - GEN A1 - Adler, Ina A1 - Förstl, Nikolas A1 - Čechová, Hana A1 - Nováček, Vít A1 - Süß, Franz A1 - Dendorfer, Sebastian T1 - Mechanistic analysis of pelvic floor functionality using musculoskeletal simulation T2 - ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31 July 2025, Stockholm N2 - There is consensus that knowledge about the fundamentals of the pelvic floor remains incomplete, particularly regarding the sensitivity of individual pelvic floor muscles to posture variations. This study aimed to investigate the effects of variations in pelvic tilt and the point of force application induced by changes in posture on pelvic floor activity using musculoskeletal simulation. A parameter study analysed various loading cases, highlighting the coherent response of individual pelvic floor muscles to loads. Muscle activities and forces were compared across different force application points and pelvic tilt angles. A key finding was identifying peak muscle activity conditions that could help better understand the causes of pelvic floor disorders. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87294 ER - TY - INPR A1 - Cenko, Egidia A1 - Weimann, Thure Georg A1 - Raptis, Georgios T1 - Navigating the DiGA Jungle: A Taxonomy and Archetypal Framework of the German Digital Therapeutics Landscape N2 - Digital therapeutics (DTx) are patient-facing apps designed to support individuals in their daily lives. Therefore, they have thepotential to revolutionize healthcare by empowering and engaging patients to become active players in their own care. Despitethe increasing adoption of DTx in national healthcare systems, research on their design remains limited. The present studyintroduces “DiGATax”, a taxonomy designed to categorize and analyze DTx, including perspectives on content, interventiondelivery logic and technology, as well as the patient’s interface, consolidating and expanding upon prior taxonomic work.Based on n = 44 applications retrieved from the German DiGA directory that demonstrated positive health outcomes, thetaxonomy is supported by empirical evidence. Additionally, the study contributes by presenting an archetype frameworkof DTx derived from a taxonomy-based cluster analysis. Further analyses offer insights into specific combinations of DTxcharacteristics across archetypes, the user interface as a key factor in their acceptance, and potential links between DTxdesign and health-related and user engagement outcomes. By offering new insights into DTx design, this study contributestowards more organized research and reporting, ultimately paving the way for the development of effective solutions. It alsomarks a further step towards Meta-DTx, which aim to align patient care for multimorbid patients under one umbrella. KW - Archetypes KW - Digital Behavior Change Interventions KW - Digital Therapeutics KW - mHealth KW - Taxonomy Y1 - 2025 U6 - https://doi.org/10.64898/2025.12.30.25343225 ER - TY - JOUR A1 - Höß, Nicole A1 - Mauerer, Wofgang T1 - Generative KI: Vom technologischen Paradigmenwechsel zur Vision einer neuen Ära im Straßenverkehr JF - Straßenverkehrstechnik N2 - Generative Künstliche Intelligenz (KI) geht bereits mit enormen Effizienzsteigerungen für Domänen einher, die von Kreativität profitieren. Die Fähigkeit, beliebig viele realitätsnahe Daten zu synthetisieren, bietet jedoch auch neue Potenziale für Anwendungen, die bisher aufgrund fehlender Datenmengen noch nicht den Sprung in die Praxis überwunden haben. Im Straßenverkehr betrifft dies z. B. das autonome Fahren in herausfordernden Situationen. Um neue Anwendungspotenziale zu erschließen, ist es allerdings erforderlich, die grundlegende Funktionsweise der Technologie gepaart mit ihren Chancen und Herausforderungen zu verstehen. Dieser Fachbeitrag dient deshalb als erste Einführung in die generative KI, indem er einen Überblick über zentrale Modelle, ihre grundlegenden Ideen und Funktionsweisen gibt. Darauf basierend werden typische Problemarten aufgezeigt, die mit generativer KI neu betrachtet und besser gelöst werden können – allgemein und spezifisch für den Straßenverkehr. Unter gleichzeitiger Betrachtung derzeitiger Limitierungen dient der Beitrag als Entscheidungshilfe für die Selektion passender generativer oder klassischer KI-Verfahren. N2 - Generative artificial intelligence (AI) is associated with enormous increases in efficiency for domains that benefit from creativity. However, the ability to synthesize any amount of realistic data also offers new potential for applications that have not yet made the leap into practice due to a lack of data. In road traffic, for example, this applies to autonomous driving in challenging situations. However, in order to unlock new application potential, it is necessary to understand the basic functioning of the technology coupled with its opportunities and challenges. This article therefore serves as a gentle introduction to generative AI by providing an overview of central models, their fundamental ideas and function. Based on this, we present typical problem types that can be revisited and profit from generative AI – in general and specifically for road traffic. While at the same time considering current limitations, the article serves as a decision support for the selection of suitable generative or classic AI methods. T2 - Generative AI: From a technological paradigm shift to a vision of a new era in road transport Y1 - 2025 U6 - https://doi.org/10.53184/SVT4-2025-2 VL - 6 IS - 4 SP - 247 EP - 252 PB - Kirschbaum Verlag GmbH ER - TY - CHAP A1 - Schönberger, Manuel A1 - Trummer, Immanuel A1 - Mauerer, Wolfgang T1 - Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing T2 - Proceedings of the ACM on Management of Data N2 - Multiple-query optimization (MQO) seeks to reduce redundant work across query batches. While MQO offers opportunities for dramatic performance improvements, the problem is NP-hard, limiting the sizes of problems that can be solved on generic hardware. We propose to leverage specialized hardware solvers for optimization, such as Fujitsu's Digital Annealer (DA), to scale up MQO to problem sizes formerly out of reach. We present a novel incremental processing approach that combines classical computation with DA acceleration. By efficiently partitioning MQO problems into sets of partial problems, and by applying a dynamic search steering strategy that reapplies initially discarded information to incrementally process individual problems, our method overcomes capacity limitations, and scales to extremely large MQO instances (up to νm1000 queries). A thorough and comprehensive empirical evaluation finds our method substantially outperforms existing approaches. Our generalisable framework lays the ground for other database use-cases on quantum-inspired hardware, and bridges towards future quantum accelerators. Y1 - 2025 U6 - https://doi.org/10.1145/3749171 VL - 3 IS - 4 PB - ACM ER - TY - CHAP A1 - Mauerer, Wolfgang ED - Ali, Shaukat ED - Barzen, Johanna ED - Delgado, Andrea ED - Müller, Hausi A. ED - Murillo, Juan Manuel T1 - Quantum Software = Quantum minus Software? T2 - Dagstuhl Reports : Quantum Software Engineering : Report from Dagsthul Seminar 24512 N2 - The Dagstuhl Seminar 24512 on "Quantum Software Engineering" was held from December 15 to 20, 2024. It brought together 26 participants from industry and academia from 13 different countries, including senior and junior researchers as well as practitioners in the field of Quantum Software Engineering. The aim of the seminar was to advance software engineering methods and tools for the engineering of hybrid quantum systems by promoting personal interaction and open discussion among researchers who are already working in this emerging area of knowledge. The first day of the seminar was devoted to the topic "When software engineering meets quantum mechanics", while the second day focused on "Quantum software engineering and its challenges." During both days, 16 invited presentations were given. The rest of the seminar was organized into three working groups to address the topics "Quantum Software Design, Modelling and Architecturing", "Adaptive Hybrid Quantum Systems", and "Quantum Software Quality Assurance". The seminar was a very fruitful experience for all participants both in terms of scientific outcomes and in terms of the personal relationships that were generated to jointly address future experiences. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0030-drops-230469 VL - 14 IS - 12 SP - 73 EP - 74 PB - Dagstuhl Publishing ER - TY - JOUR A1 - Krüger, Tom A1 - Mauerer, Wolfgang T1 - Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation JF - Quantum N2 - The Quantum Approximate Optimisation Algorithm (QAOA) is a widely studied quantum-classical iterative heuristic for combinatorial optimisation. While QAOA targets problems in complexity class NP, the classical optimisation procedure required in every iteration is itself known to be NP-hard. Still, advantage over classical approaches is suspected for certain scenarios, but nature and origin of its computational power are not yet satisfactorily understood. By introducing means of efficiently and accurately approximating the QAOA optimisation landscape from solution space structures, we derive a new algorithmic variant of unit-depth QAOA for two-level Hamiltonians (including all problems in NP): Instead of performing an iterative quantum-classical computation for each input instance, our non-iterative method is based on a quantum circuit that is instance-independent, but problem-specific. It matches or outperforms unit-depth QAOA for key combinatorial problems, despite reduced computational effort. Our approach is based on proving a long-standing conjecture regarding instance-independent structures in QAOA. By ensuring generality, we link existing empirical observations on QAOA parameter clustering to established approaches in theoretical computer science, and provide a sound foundation for understanding the link between structural properties of solution spaces and quantum optimisation. Y1 - 2025 U6 - https://doi.org/10.22331/q-2025-11-06-1903 N1 - Die Preprint-Version ist ebenfalls in diesem Repositorium verzeichnet unter: https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/start/2/rows/10/sortfield/score/sortorder/desc/searchtype/simple/query/Out+of+the+Loop/docId/7938 VL - 9 PB - Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften ER - TY - INPR A1 - Köster, Dominik A1 - Porkert, Florian A1 - Volbert, Klaus T1 - Multi-Day Scheduling for Electric Vehicle Routing: A Novel Model and Comparison Of Metaheuristics N2 - The increasing use of electric vehicles (EVs) requires efficient route planning solutions that take into account the limited range of EVs and the associated charging times, as well as the different types of charging stations. In this work, we model and solve an electric vehicle routing problem (EVRP) designed for a cross-platform navigation system for individual transport. The aim is to provide users with an efficient route for their daily appointments and to reduce possible inconveniences caused by charging their EV. Based on these assumptions, we propose a multi-day model in the form of a mixed integer programming (MIP) problem that takes into account the vehicle's battery capacity and the time windows of user's appointments. The model is solved using various established metaheuristics, including tabu search (TS), adaptive large neighborhood search (ALNS), and ant colony optimization (ACO). Furthermore, the performance of the individual approaches is analyzed using generated ensembles to estimate their behavior in reality and is compared with the exact results of the Google OR-Tools solver. 6 pages, 5 figures KW - Charging stations KW - Electric vehicles KW - Metaheuristics KW - Smart cities KW - Vehicle routing Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2512.21346 ER - TY - INPR A1 - Fischer, Johannes A1 - Hirsch, Thomas A1 - Reitmeier, Torsten A1 - Bierl, Rudolf T1 - Real-time hardware-based processing of high-precision detector signals for surface plasmon resonance spectroscopy N2 - Surface plasmon resonance (SPR) is limited by small-signal detectability and drift when subtraction occurs in software after digitization. We introduce an SPR detector that performs on-detector amplification and analog differential readout, eliminating moving parts and software-heavy correction. The hardware-native subtraction boosts the usable ADC range and suppresses illumination and environmental noise. In fixed-angle refractive-index steps (NaCl), the platform resolves Δn_min ≈ 1.8 × 10⁻⁷ RIU compared to 4.6–7.2 × 10⁻⁶ RIU on a commercial comparator and improves small-signal SNR by up to ∼5,000-fold, while remaining competitive at high signal levels. In a model IgG–BSA assay, the detector’s low noise floor clarifies early binding and equilibrium transitions. By generating inherently clean raw signals, this hardware-native approach dramatically enhances sensitivity and long-term stability for label-free biosensing and inline process analytics while rendering AI-based or complex post-processing entirely unnecessary. The concept generalizes across platforms and opens a compact route to robust, high-fidelity SPR in complex environments, with a clear path toward multi-wavelength and arrayed detectors for high-throughput chemical monitoring. KW - Drift-free SPR KW - Hardware-native sensing KW - Noise suppression KW - On-detector amplification KW - Small-signal detection KW - Surface plasmon resonance Y1 - 2025 U6 - https://doi.org/10.2139/ssrn.5971170 ER - TY - CHAP A1 - Schamel, Marco A1 - Achhammer, Anton A1 - Schumm, Leon A1 - Sterner, Michael T1 - Harvesting Sustainability: Cost-competitiveness of Green Fertilizer Value Chains in Western Africa T2 - Proceedings of the 2025 IEEE PES/IAS PowerAfrica Conference (PAC 2025): pioneering sustainable energy solutions for Africa's Future, 28.09-02.10 2025, Cairo, Egypt N2 - The use of nitrogen fertilizers in Sub-Saharan Africa is low compared to other regions of the world, leading to inadequate crop yields. Furthermore, conventional production from fossil fuel-based ammonia is highly emissions-intensive, making decarbonization urgent. Local production using green hydrogen, sourced solely from solar energy, water, and air, could address both agricultural and climate challenges. This study focuses on Ghana, where nitrogen inputs are among the lowest globally. Using an open-source framework, we evaluate high-resolution production costs for sustainable ammonia and examine two decarbonized pathways: aqueous ammonia and urea. It is found that cost estimates with current assumptions mostly exceed historical prices. However, given their resilience to global market disruptions and expected future cost decreases of the technologies used, these sustainable approaches represent a promising pathway for development in Sub-Saharan Africa. Y1 - 2025 SN - 979-8-3315-9850-1 U6 - https://doi.org/10.1109/PowerAfrica65840.2025.11289137 PB - IEEE ER - TY - JOUR A1 - Schroll-Decker, Irmgard T1 - Rainald Manthe: Demokratie fehlt Begegnung. Über Alltagsorte des sozialen Zusammen-halts. JF - Socialnet Rezensionen Y1 - 2024 UR - https://www.socialnet.de/rezensionen/32854.php PB - Socialnet GmbH CY - Bonn ER - TY - JOUR A1 - Schroll-Decker, Irmgard T1 - Erich Schützendorf, Jürgen Datum: Anderland entdecken, erleben, begreifen. Ein Reise-führer in die Welt von Menschen mit Demenz. JF - Socialnet Rezensionen Y1 - 2024 UR - https://www.socialnet.de/rezensionen/32333.php PB - Socialnet GmbH CY - Bonn ER - TY - JOUR A1 - Schroll-Decker, Irmgard T1 - Harm Kuper, Michael Schemmann: Institutionen der Weiterbildung. JF - Socialnet Rezensionen Y1 - 2024 UR - https://www.socialnet.de/rezensionen/31704.php PB - Socialnet GmbH CY - Bonn ER - TY - JOUR A1 - Schroll-Decker, Irmgard T1 - Verena Klomann, Angelika Schmidt-Koddenberg (Hrsg.): Studienpionier:innen und Soziale Arbeit: Motive, Herausforderungen und gesellschaftliche Konsequenzen. JF - Socialnet Rezensionen Y1 - 2024 UR - https://www.socialnet.de/rezensionen/30860.php PB - Socialnet GmbH CY - Bonn ER - TY - JOUR A1 - Schroll-Decker, Irmgard T1 - Gerd Grampp: Lernort Wohnung. Befähigung als Assistenzleistung in der Eingliederungshilfe. JF - Socialnet Rezensionen Y1 - 2024 UR - https://www.socialnet.de/rezensionen/32198.php PB - Sozialnet CY - Bonn ER - TY - JOUR A1 - Ginster, Vinzenz A1 - Weigert, Alexander A1 - Heym, Maximilian Klaus A1 - Beier, Christoph Jürgen Anton A1 - Schiebahn, Alexander A1 - Galka, Stefan T1 - Factory simulation of adhesive bonding processes considering pot-life-induced waste JF - Journal of Advanced Joining Processes N2 - The simulation of production systems in the planning phase is an established tool for evaluating system performance under dynamic conditions (Da Silva et al., 2018). When planning a production system that includes time-critical processes such as adhesive bonding, exceeding time constraints (e.g., excessive lead times relative to the adhesive pot-life) can lead to product rejection and scrap. These risks should be analyzed by means of simulation, as it enables the consideration of stochastic effects such as random machine breakdowns, which significantly influence product lead times. This study focuses on the production of adhesively bonded electrolyzer-cells. Due to the cell design, several handling and stacking operations must be carried out between adhesive application and final joining, so that immediate joining is not feasible and pot-life-induced scrap becomes a critical risk factor. We therefore conducted an exploratory investigation that combines experimental pot-life characterization with discrete-event simulation of a planned electrolyzer-cell production system. A two-component epoxy adhesive was characterized using differential scanning calorimetry with kinetic analysis, rotational rheometry, and 90° peel tests on application-representative joints. Based on these tests, an application-specific pot-life was derived and implemented as a time-dependent quality criterion in the discrete-event simulation model. A full-factorial simulation study with varied buffer size and mean time to repair at a station availability of 98 % was carried out. The results demonstrated a pronounced trade-off between throughput and pot-life-induced waste and identified a buffer capacity of one and short repair times as the most favorable configuration. Extending pot-life due to different processing temperatures substantially reduced scrap, highlighting the benefit of integrating curing kinetics and dynamic simulation in early-stage production system design for time-critical adhesive processes. KW - Digital Twin, Simulation, Logistics Y1 - 2026 U6 - https://doi.org/10.1016/j.jajp.2026.100375 SN - 2666-3309 VL - 13 PB - Elsevier ER - TY - CHAP A1 - Sadeque, Md. Golam A1 - Ahmmed, Tanvir A1 - Hossain, Md. Aowal A1 - Rahman, Md. Naimur A1 - Sarker, Md Tanjil A1 - Ramasamy, Gobbi T1 - A Novel CWT-CNN Framework for Driver Fatigue Detection from EEG Signals T2 - 2025 Multimedia University Engineering Conference (MECON), 21-23 July 2025, Cyberjaya, Malaysia N2 - Fatigued driving has been a significant contributor to traffic accidents globally, posing serious threats to both human life and economic stability. Machine learning techniques based on electroencephalography (EEG) are showing promise for detecting driver fatigue, excelling other physiological modalities in this regard. However, it requires a lot of exertion, demands domain knowledge, and may not generalize effectively across different datasets to manually extract features from EEG signals. Therefore, investigating innovative deep-learning architectures that can effectively extract discriminative characteristics from unprocessed EEG data is necessary. This paper proposes a novel framework for driver fatigue detection from EEG signals using Continuous Wavelet Transform (CWT) and Convolutional Neural Networks (CNN). Rather than depending on hand-crafted feature extraction, we use CWT to convert EEG data into time-frequency spectrum pictures. After concatenating these spectral images from every channel, a CNN is fed to learn discriminative features for driver normal and fatigued states automatically. An average classification accuracy of 98.3% is obtained by evaluating the proposed CWT-CNN system on a publicly available EEG dataset comprising recordings from twelve subjects. The results obtained indicate that the CWT-CNN framework has enormous potential to create strong driver fatigue detection systems, thereby enhancing road safety. KW - CNN KW - CWT KW - Deep Learning (DL) KW - Driver Fatigue KW - EEG Y1 - 2025 SN - 979-8-3315-5549-8 U6 - https://doi.org/10.1109/MECON67253.2025.11277149 PB - IEEE ER - TY - CHAP A1 - de Oliveira, L.E.D. A1 - Gualtieri, C. A1 - Janzen, J. G. A1 - Folke, Frederik A1 - Huber, N. P. A1 - Wittmann, F. A1 - Franca, M. J. ED - Carnacina, Iacopo ED - Abdellatif, Mawada ED - Andredaki, Manolia ED - Cooper, James ED - Lumbroso, Darren ED - Ruiz-Villanueva, Virginia T1 - Hydrodynamics of an asymmetrical compound channel with nature-based vegetation distribution T2 - River Flow 2024 N2 - Natural streams commonly feature a compound channel characterized by main channels and floodplains. During flood events, sediment and particulate organic matter deposition in floodplains promotes vegetation growth, influencing river hydrodynamics and ecosystems. Current hydrodynamics investigations frequently employ arbitrary vegetation characteristics, potentially misrepresenting natural conditions. This study experimentally explores compound-channel flows in which the floodplain is occupied with natural vegetation characteristics sourced from the Upper Rhine, including both young and mature plants. A 30 m long, 5 m wide asymmetrical compound channel with a 0.5‰ longitudinal slope was used. Two flow conditions, deep and intermediary flow, were tested. Velocity and depth data were collected under simulated flow conditions corresponding to a 15 to 20-year return period. Vegetation accentuated the shear between the floodplain and the main channel, compared to non-vegetated conditions. Furthermore, vegetation effects on water depth were observed downstream the patch until 1.75 times the vegetation patch length. Y1 - 2025 SN - 9781003475378 U6 - https://doi.org/10.1201/9781003475378-144 SP - 994 EP - 1000 PB - CRC Press CY - London ER - TY - CHAP A1 - Galka, Stefan A1 - Meißner, Sebastian T1 - Simulation-Based Digital Twins for Internal Transport Systems T2 - Procedia Computer Science N2 - The increasing complexity of internal transport systems in industrial applications poses significant challenges for operational decision-making. This paper presents a simulation-based Digital Twin framework developed within the research project TwinTraSys to support the control of such systems. The framework is specifically tailored to the constraints of real-world IT infrastructures, requiring minimal transaction data, while enabling predictive analysis and dynamic scenario evaluation. It consists of a modular architecture divided into four core components: data provision, data preparation, simulation, and decision support. A dedicated simulation framework enables the automated generation of structural models and the integration of real-world operational control systems. The proposed approach has been validated in industrial settings and has demonstrated its ability to support resource planning and transport resource allocation through simulation-based experimentation and multi-criteria evaluation. This paper contributes to the practical advancement of Digital Twin applications in intralogistics by bridging the gap between theoretical models and real-world constraints. KW - Digital Twin KW - Intralogistics KW - Logistics KW - Operational Control KW - Simulation KW - Simulation-based Decision Support Y1 - 2025 U6 - https://doi.org/10.1016/j.procs.2025.12.016 N1 - Corresponding author der OTH Regensburg: Stefan Galka VL - 274 SP - 161 EP - 170 PB - Elsevier ER - TY - BOOK A1 - Westner, Markus A1 - Strasser, Artur T1 - Objectives and Key Results verstehen und anwenden N2 - Dieses essential gibt eine strukturierte und kompakte Einführung in die Objectives and Key Results-Managementmethode. Es erläutert Herkunft, Definition und Einsatzzweck von Objectives and Key Results (OKR) und beschreibt deren zentrale Bestandteile. Leser:innen erfahren, wie gute Objectives und Key Results formuliert werden und welche Strategien sich zur erfolgreichen Implementierung eignen. Zudem werden praxisrelevante Erfolgs- und Misserfolgsfaktoren analysiert, die den Einsatz von OKR maßgeblich beeinflussen. Ein fundierter Leitfaden für alle, die OKR als Steuerungsinstrument in Organisationen verstehen und wirksam einsetzen möchten. KW - Objectives and Key Results (OKR) KW - Zielmanagement KW - Performance Management KW - Strategieumsetzung KW - Kennzahlen / KPI Y1 - 2025 SN - 978-3-658-50381-9 U6 - https://doi.org/10.1007/978-3-658-50382-6 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Hopfensperger, Bernhard A1 - Vanselow, Marcel A1 - Hopkins, Andrew A1 - Hahn, Ingo T1 - Investigation of the Effect of Magnetic Coupling on the Capacitor Current of Dual Three-Phase Permanent Magnet Synchronous Machine Drives T2 - 2025 Energy Conversion Congress & Expo Europe (ECCE Europe); Birmingham, United Kingdom ; 9/1/2025 - 9/4/2025 N2 - The drive towards electrification of vehicles and transport systems has led to research into multiphase drive topologies beyond the conventional three. Dual three-phase machine drives are attractive due to reduced torque and DC-link harmonic content in addition to fault tolerance. Further DC-link rms-current reductions can be realised by applying appropriate modulation schemes and shifting/interleaving PWM patterns. However, the magnetic cross coupling between the two three-phase systems impacts the output current harmonics and subsequently the torque ripple which is further exacerbated by interleaving of their respective carriers. The impact of magnetic coupling on the DC-link and output current ripples is investigated. Y1 - 2025 SN - 979-8-3315-6752-1 U6 - https://doi.org/10.1109/ECCE-Europe62795.2025.11238664 PB - IEEE ER - TY - GEN A1 - Krysztof, Michal A1 - Baranowski, Kamil A1 - Zychla, Michal A1 - Hausladen, Matthias A1 - Schreiner, Rupert A1 - Knápek, Aleksandr T1 - MP61 - Detection of Electron Beam in Atmospheric Pressure Using CMOS Image Sensor T2 - EUROSENSORS XXXVII ; 07.09.2025 - 10.09.2025 ; Wroclaw ; Poster I N2 - In the article, a new detection system that enables observation of the electron beam signal passing through a gas layer at atmospheric pressure is presented. An experimental setup consisting of an elec-tron gun (electron emitter, extraction, and focus electrodes), silicon nitride membrane, and a CMOS image sensor is described, as well as first image of the electron beam spot after passing through 400 µm of air at atmospheric pressure is presented. Y1 - 2025 U6 - https://doi.org/10.5162/EUROSENSORS2025/MP61 SP - 325 EP - 326 PB - AMA ER - TY - CHAP A1 - Hauser, Florian A1 - Staufer, Susanne A1 - Röhrl, Simon A1 - Nadimpalli, Vamsi Krishna A1 - Ezer, Timur A1 - Grabinger, Lisa A1 - Mottok, Jürgen A1 - Falter, Thomas ED - Gómez Chova, Luis ED - González Martínez, Chelo ED - Lees, Joanna T1 - LEVERAGING FIVE QUESTIONNAIRES TO ANALYZE STUDENT LEARNING STRATEGIES AND GENERATE AI-POWERED INDIVIDUALIZED LEARNING PATHS T2 - ICERI2025 Proceedings N2 - Background: The COVID-19 pandemic has significantly accelerated the shift toward online and blended learning in higher education, placing renewed emphasis on the individualization of learning content to meet diverse student needs. Even high-quality learning materials may fail to engage learners if they do not align with students’ personal preferences and learning styles. Identifying these learner preferences, therefore, emerges as a critical challenge. Objectives: This paper presents ongoing work within a larger research project aimed at employing artificial intelligence to recommend optimal learning path for students in specific courses. Beyond mere optimization, the goal is to ensure the best possible fit between learning materials and individual learners. Sample & Methods: A total of 27 students from technical degree programs took part in this survey. All participation was voluntary, and data were handled in full compliance with GDPR regulations. Although our broader project integrates fine-grained learning analytics from Moodle, the present abstract focuses exclusively on the self-report questionnaire results. Participants completed five instruments: 1. Index of Learning Styles (ILS) 2. LIST-K (Learning and Study Strategies Inventory – Short version) 3. BFI-10 (Big Five Inventory – 10 items) 4. Custom Preferences Instrument, capturing preferences for specific learning elements (e.g. instructional videos, lecture notes, summaries) and basic demographic data 5. Motivational Value Systems Questionnaire (MVSQ), piloted last semester to assess value orientations and motivational drivers Results: Preliminary analyses of the questionnaire data reveal: - Learning Styles (ILS): The majority lean toward the visual learning type (M = 5.740, SD = 3.430). - Learning Strategies (LIST-K): High scores on metacognitive strategies (M = 3.000; SD = 0.520) and collaboration with peers (M = 3.190; SD = 0.540). - Preferred Learning Elements: Summaries, overviews, and self-checks are most favored. - Value Orientations (MVSQ): Students are primarily driven by the pursuit of personal achievement (M = 4.400; SD = 11.140). Conclusion & Significance: By integrating these five standardized questionnaires, we gain valuable insights into student learning preferences—insights that complement our Moodle analytics in the broader project. Observed trends suggest that learning materials should be concise and designed to facilitate peer interaction and knowledge deepening. These findings will guide the refinement of our AI-driven recommendation engine, enhancing its ability to deliver personalized learning paths that boost both engagement and effectiveness. KW - AI in higher education KW - learning management system KW - adaptive learning KW - personalized learning paths KW - online and blended learning Y1 - 2025 U6 - https://doi.org/10.21125/iceri.2025.0658 SP - 1775 EP - 1784 PB - IATED ER - TY - GEN A1 - Gleißner, C. A1 - Popp, J. A1 - Rödle, E. A1 - Wagner, T. A1 - Mertens, Johannis A1 - Pfingsten, Andrea T1 - PNE – Schmerzen verstehen, vermitteln, verändern: Anforderungen an instruktives Videomaterial T2 - physioscience N2 - Einleitung Ein häufiger Irrglaube unter Patient*innen ist, dass Schmerz direkt mit Gewebeschäden in Korrelation steht. Die Pain Neuroscience Education (PNE) vermittelt mithilfe einfacher Metaphern ein besseres Verständnis von Schmerz, was sich positiv auf Schmerzempfinden, Angstvermeidung und Alltagsbewältigung auswirkt. Fehlendes Wissen über Schmerzphysiologie und eine Unsicherheit in der Umsetzung von PNE stehen der Anwendungsbereitschaft im deutschsprachigen Raum entgegen. Ziel des Projekts war es, die Anforderungen von Physiotherapeut*innen an ein Anleitungsvideo zu PNE zu ermitteln. Die Ergebnisse sollen die Entwicklung eines praxisnahen, nutzerfreundlichen Videos unterstützen. Material und Methodik Die Studie basiert auf fünf leitfadengestützten Interviews mit Physiotherapeut*innen mit Bachelorabschluss und Vorkenntnissen in PNE. Die Auswertung erfolgte mittels qualitativer Inhaltsanalyse nach Kuckartz unter Verwendung von MAXQDA. Ergebnisse Das Kategoriensystem umfasst: beruflicher Hintergrund, bisherige Erfahrungen mit PNE, hilfreiche Videoinhalte, Struktur und Dauer, Praxisrelevanz, Didaktik und Gestaltung. Die teilnehmenden Physiotherapeut*innen setzen PNE bislang eher selektiv ein – bedingt durch Zeitmangel, Erwartung aktiver Therapieformen und begrenzte Erfahrung. Eingesetzt werden strukturierte Tools sowie freie Gespräche. Als hilfreich gelten visuelle Darstellungen, praxisnahe Metaphern und deutschsprachige Erklärungen. Gewünscht werden alltagsnahe Beispiele, gezielte Metaphern, Patientenzentrierung sowie Anpassung an Wissen und Verständnisniveau. Relevante Inhalte umfassen Schmerz- und Neurophysiologie, das bio-psycho-soziale Modell, psychoedukative Aspekte (z. B. Schlaf) und Therapiekonzepte. Fehler wie unklare Sprache, unpassende Beispiele und fehlender individueller Bezug sollen im Video aufgegriffen werden. Bevorzugt werden kurze, modulare Videos (5–10 Min.), thematisch gegliedert, mit animierten Darstellungen, ruhiger Off-Stimme und klarer, patientengerechter Sprache. Zusammenfassung Physiotherapeut*innen nutzen PNE bislang selektiv, bedingt durch Zeitmangel und fehlende Erfahrung. Für ein hilfreiches Anleitungsvideo werden kurze, modulare Einheiten (5–10 Min.), visuelle Metaphern, patientenzentrierte Inhalte und eine klare, einfache Sprache bevorzugt. Relevante Inhalte sind Schmerzphysiologie, das bio-psycho-soziale Modell und Therapiemechanismen. Y1 - 2025 U6 - https://doi.org/10.1055/s-0045-1811334 VL - 21 IS - S02 SP - S24 EP - S25 PB - Thieme ER - TY - GEN A1 - Markov-Glazer, Alon A1 - Schliermann, Rainer T1 - Qualitative Exploration of Applied Sport Psychology Practices in Deaflympic Sports N2 - Introduction Athletes competing in elite Deaf sports, known as Deaflympic sports, display unique sociocultural characteristics (Clark & Mesch, 2018). Yet, sport psychology research has largely overlooked this group of athletes for decades (Markov-Glazer et al., 2023). This study therefore aimed to examine sport psychology practices in Deaflympic sport, focusing on identifying distinctive characteristics, needs, and preferences of this athlete group. Methodology To achieve this goal, six in-depth focus group interviews were conducted with 23 active Deaflympic athletes (26.1% female) and four coaches from individual sports (e.g., tennis) and team sports (e.g., handball). Participants discussed their use of psychological skills and communication strategies, the role of hearing aids in training and competition, and their experiences with sport psychology consultants. We analyzed the interviews’ contents using thematic content analysis (Braun et al., 2016). Results The results showed participants largely apply psychological skills intuitively. Additionally, several distinctive features emerged in their use of techniques such as self-talk and relaxation. Moreover, athletes relying on visual cues for processing information described unique cognitive challenges during competition under certain conditions. Conclusions In conclusion, Deaflympic athletes use psychological skills similarly to Paralympic and Olympic athletes but may apply them in distinct ways under specific circumstances. These and other unique characteristics should be considered when working with Deaflympic athletes. Moreover, Deaflympic athletes, particularly in team sports, may face additional cognitive demands that merit further attention in sport psychology practice and research. Y1 - 2025 U6 - https://doi.org/10.34719/BSKI3568 PB - Munster Technological University ER - TY - CHAP A1 - Ezer, Timur A1 - Röhrl, Simon A1 - Mottok, Jürgen ED - Gómez Chova, Luis ED - González Martínez, Chelo ED - Lees, Joanna T1 - Towards accurate eye tracking: quantifying error in linear pixel-to-degree conversion T2 - ICERI2025 Proceedings N2 - Eye tracking has become a powerful tool for analyzing cognitive processes in educational research. Educators and researchers can utilize eye tracking to model learners by determining their gaze patterns. In addition, eye tracking can be used directly for teaching by extracting experts' gaze behavior in certain areas and learning from it. However, eye tracking data is captured in a variety of coordinate systems, which can differ across individual studies. Consequently, algorithms, such as eye movement classifiers, must frequently convert gaze data between different coordinate systems. In particular, the conversion from screen pixels into visual degrees is typically approximated by a linear conversion in current literature and standard practice. However, this approximation introduces inaccuracies, thus potentially obscuring eye movements relevant to educational research. This paper provides a detailed geometric and analytical examination of the commonly applied linear approximation, quantifying its error in comparison to the exact coordinate conversion from screen pixels to angular degrees. For this purpose, the exact conversion formulas are mathematically derived from geometric optics, enabling researchers and educators to use them in their work. Utilizing these derived transformations can improve the robustness of analyses, for example, when detecting subtle eye movements. The present work supports educational research using eye tracking to achieve more insightful findings that may have previously been obscured by measurement inaccuracies. Thereby, we provide an important contribution toward more reliable and valid research and educational practices in eye tracking. KW - Eye tracking KW - coordinate system KW - conversion KW - angular degree KW - pixel Y1 - 2025 U6 - https://doi.org/10.21125/iceri.2025.1841 SP - 6709 EP - 6717 PB - IATED ER - TY - CHAP A1 - Bugl, Benedikt A1 - Schneider, Viola I. A1 - Sehr, Armin T1 - Vertical Sound Localization: Precision and Robustness to Reverberation in a Large-Scale Study T2 - Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum / EuroNoise 2025 // Málaga, Spain ; 23-26. June 2025 N2 - Vertical sound localization, the ability to perceive the elevation of a sound source, is a fundamental aspect of human auditory perception, yet it remains far less understood than horizontal localization. Existing studies rely on small sample sizes, limiting the generalizability of findings. The presented study bridges that gap by examining vertical sound localization and precision in a cohort exceeding 150 participants, making it the largest investigation of its kind to date.Participants were exposed to broadband noise stimuli from various elevations under controlled anechoic conditions. The elevation localization error was measured by comparing perceived sound source elevations to actual positions of speakers of a curved array. Azimuth angles of arrival were altered between 0°, 45° and 90°. For a small group the experiment was repeated in echoic conditions, to gain insight in reverberation and reflection robustness of vertical sound localization.This large-scale study establishes benchmarks for vertical sound localization precision and robustness, advancing our understanding of human auditory spatial perception. These findings have implications for audio technology development, such as spatial audio rendering and hearing aid design, and lay the groundwork for further exploration into the neural and anatomical underpinnings of vertical localization. Y1 - 2025 SN - 978-84-87985-35-5 U6 - https://doi.org/10.61782/fa.2025.0953 SP - 3431 EP - 3434 PB - European Acoustics Association ER - TY - CHAP A1 - Stadler, Sebastian A1 - Seitz, Marie Sophie T1 - When algorithms design: a comparative study pits an AI-generated application against a manual application in a competition of user experience and user-friendliness T2 - Proceedings of 2025 11th international HCI and UX conference in Indonesia, 5 + 6. December 2025, Bali (CHIuXiD) N2 - The rapid growth of artificial intelligence has enabled automated website creation, including design, content, and SEO. This study compares an AI-generated application with a manually designed one in terms of usability and user experience. Forty-two participants evaluated efficiency, effectiveness, satisfaction, emotional responses, and behavioural patterns. The manual application outperformed the AI-generated one in most datasets, particularly in clarity, supportiveness, and comprehensibility, while speed, learnability, activation, creativity, and security showed no significant differences. Users reported more positive emotions and confident interactions with the manual application, whereas the AI application elicited uncertainty and frustration. These behavioural differences were also reflected in processing times and task completion rates, suggesting that AI-generated solutions currently struggle to meet established UX standards. Nevertheless, the AI builder demonstrated potential for rapid prototyping and low-effort website creation, offering advantages for users with limited technical skills or resources. The findings highlight both the opportunities and limitations of current AI-based web design tools and underline the importance of human-centered design expertise in achieving high-quality user experiences. Despite existing shortcomings, AI-supported tools may become increasingly viable as technology advances. KW - user experience KW - usability KW - artificial intelligence KW - user experience questionnaire Y1 - 2025 U6 - https://doi.org/10.1109/CHIuXiD68326.2025.11323819 SP - 55 EP - 60 PB - IEEE ER - TY - RPRT A1 - Bhardwaj, Prakhar A1 - Hauer, Franziska A1 - Mücke, Vanessa A1 - Dotter, Caroline A1 - Haug, Sonja A1 - Weikl, Simone A1 - Weber, Karsten T1 - Multi- und intermodale Mobilität erfassen und verstehen - eine Literaturübersicht N2 - Die Transformation zu nachhaltiger Mobilität erfordert eine detaillierte Erfassung des tatsächlichen Mobilitätsverhaltens, was durch herkömmliche, aggregierte oder retrospektive Erhebungsmethoden (z.B. Zählstellen, Wegetagebücher) nicht vollständig gelingt. Zudem sind diese Methoden oft teuer, fehleranfällig oder nicht nachhaltig skalierbar. Ziel dieser Literaturübersicht ist es, einen systematischen Überblick über den aktuellen Forschungsstand zur Erhebung und Analyse individueller Mobilitätsdaten zu geben und darauf aufbauend mögliche Forschungslücken sowie Potentiale zu identifizieren. Die explorative Literaturrecherche umfasst sozialwissenschaftliche Erhebungen zu multi- und intermodalem Mobilitätsverhalten, sowie einen Überblick über Analysemöglichkeiten von Wegedaten. Der Fokus liegt auf der Identifikation relevanter Datenquellen und methodischer Ansätze zur Segmentierung, Verkehrsmittelerkennung und Wegezweckbestimmung. Ergebnisse aus aktuellen Studien verdeutlichen, dass ausschließlich sensorgestützte Datenerhebungen bisher nicht ausreichen, um Mobilitätsverhalten vollumfänglich und präzise abzubilden. Eine mögliche Lösung ist ein "Best-of-both-worlds-Ansatz, der die passive, automatische Mobilitätsdatenerfassung via Smartphone-Sensorik mit gezielten Nutzerkorrekturen und Ergänzungen ("Human-in-the-Loop") innerhalb einer App kombiniert. Die Literaturauswertung zeigt, dass auf diesem Weg die beste Datenqualität gewonnen werden kann. Durch die Kombination von Mobilitätsbefragung mit passiver Erhebung von Mobilitätsdaten kann ein umfassender, möglichst vollständiger und korrekter Überblick über das Mobilitätsverhalten gewonnen werden. KW - KI KW - Mobilität Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87415 CY - Regensburg ER - TY - RPRT A1 - Bhardwaj, Prakhar A1 - Hauer, Franziska A1 - Mücke, Vanessa A1 - Dotter, Caroline A1 - Haug, Sonja A1 - Weikl, Simone A1 - Weber, Karsten T1 - Recording and understanding multi- and intermodal mobility - a review N2 - The transition to sustainable mobility requires detailed knowledge of actual mobility behavior. Recording mobility behavior through conventional, aggregated, or retrospective survey methods (e.g., counting stations, travel diaries) may yield incomplete insights. In addition, these methods are often expensive, prone to error, or not scalable. The aim of this literature review is to provide a systematic overview of the current state of the literature on recording and analysis of individual mobility data and, based on this, to identify possible research gaps and potential. The exploratory literature review includes social science surveys on multi- and intermodal mobility behavior, as well as an overview of possible ways to analyze travel data. The focus of the latter is on identifying relevant data sources and methodological approaches for segmentation, identification of transport mode, and trip purpose determination. Results from recent studies show that sensor-based data collection alone is not sufficient to fully and accurately map mobility behavior. One possible solution is a “best-of-both-worlds” approach that combines passive, automatic mobility data collection via smartphone sensors with targeted user corrections and additions (“human-in-the-loop”) within an app. The literature review shows that this approach yields the best data quality. Combining mobility surveys with passive collection of mobility data provides a comprehensive, accurate, and complete overview of mobility behavior. KW - multimodal mobility KW - mobility Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87427 CY - Regensburg ER - TY - GEN A1 - Hauer, Franziska A1 - Haug, Sonja A1 - Scharf, Anna A1 - Schultz, Maximilian A1 - Weber, Karsten T1 - Quantitative Befragung zu Künstlicher Intelligenz für Nichtregierungsorganisationen -Fragebogen und Codebuch N2 - Künstliche Intelligenz (KI) stellt ein wichtiges Thema der Digitalisierung dar und hat das Potenzial viele Arbeitsfelder grundlegend zu verändern. Mit dem Einsatz von KI wird die Hoffnung verbunden durch Automatisierung Zeit und Geld zu sparen. Dies könnte besonders interessant für Organisationen sein, die wenig Ressourcen zur Verfügung haben, da sie nicht gewinnorientiert oder ehrenamtlich arbeiten. Dazu zählen Nichtregierungsorganisationen (NRO), die einen wichtigen Bestandteil der Zivilgesellschaft darstellen. Aufgrund der komplexer werdenden Arbeit von NROs scheint KI Möglichkeiten zur Bewältigung aktueller und zukünftiger Herausforderungen zu bieten. Über den Einsatz von KI in NROs ist derzeit jedoch wenig bekannt. Es wurde eine quantitative Querschnittstudie deutscher Nichtregierungsorganisationen (NRO) zum Thema KI durchgeführt. Der Web-Survey baut auf den Erkenntnissen des Scoping Reviews und der qualitativen Interviews auf und vertieft den Einblick in die Bereiche aktuelle Nutzung von KI, Wissenstand in den Organisationen sowie vorhandene und noch benötigte Ressourcen. Dafür wurden 343 NROs verschiedener Größen und Handlungsfelder befragt und die Ergebnisse quantitativ analysiert. KW - Künstliche Intelligenz KW - NGO Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87066 N1 - Hauer, Franziska; Haug, Sonja; Scharf, Anna; Schultz, Maximilian; Weber, Karsten (2024): Künstliche Intelligenz für Nichtregierungsorganisationen - Quantitative Erforschung der Umsetzung in deutschen NROs. 3. Arbeitspapier. OTH Regensburg. Regensburg. DOI: 10.13140/RG.2.2.11094.66883 CY - Regensburg ER - TY - GEN A1 - Haug, Sonja A1 - Vetter, Miriam A1 - Dotter, Caroline A1 - Weber, Karsten T1 - Forschungsprojekt „EVEKT „Erhöhung der Verbraucherpartizipation an der Energiewende und datenbasierte Mehrwertdienste“ — Fragebogen zur Online-Befragung und Codeplan N2 - Um Leistungsschwankungen im Stromnetz durch fluktuierende erneuerbare Energien auszugleichen, sollen in Deutschland intelligente Messtechnologien in Privathaushalten verbaut werden. Diese gelten als zentraler Bestandteil sog. Smart-Grids (intelligente Stromnetze), die Stromnachfrage und -angebot steuern, um Stromnetzstabilität zu gewährleisten. Die Werte, die bei der Messung des Stromverbrauchs in Privathaushalten erhoben werden, können an die Verbraucher*innen mithilfe von Apps oder anderer Smart-Meter-Plattformen (datenbasierte Mehrwertdienste) rückgemeldet werden. Vor diesem Hintergrund wurde 2023 eine Online-Befragung der Wohnbevölkerung in Deutschland durchgeführt (n=2.027). Untersucht wurden Bekanntheit, Nutzungsbereitschaft und Akzeptanz intelligenter Stromzähler bzw. Smart-Meter sowie die Nutzungsintention bei Anwendungsszenarien und Datenschutzbedenken. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87409 N1 - Vetter, Miriam/Haug, Sonja/Dotter, Caroline/Weber, Karsten (2024). 4. Arbeitspapier. Ak-zeptanz und Nutzungsbereitschaft von Smart-Meter-Anwendungen und datenbasierten Mehrwertdiensten. Erste Auswertungen im Rahmen von EVEKT. Ostbayerische Technische Hochschule (OTH) Regensburg. Regensburg. EVEKT – Erhöhung der Verbraucherpartizipa-tion an der Energiewende durch KI-Technologien und datenbasierte Mehrwertdienste. Teil-projekt Ethische und soziale Aspekte der Erhöhung der Verbraucherpartizipation an der Energiewende durch KI-Technologien. https://doi.org/10.13140/RG.2.2.33227.60968 Zugehöriges Datenset: https://doi.org/10.5281/zenodo.17962728 CY - Regensburg ER - TY - CHAP A1 - Staufer, Susanne A1 - Ezer, Timur A1 - Röhrl, Simon A1 - Grabinger, Lisa A1 - Hauser, Florian A1 - Nadimpalli, Vamsi Krishna A1 - Antoni, Erika A1 - Mottok, Jürgen A1 - Schaffer, Josefa T1 - TYCHE ALGORITHM 2.0: Learning Paths from Questionnaire Responses and Learning Analytics T2 - ICERI2025 Proceedings N2 - The digitalization of learning processes has increased the need for adaptive learning paths tailored individually to learners. A novel algorithm for learning path generation is presented in this paper, namely Tyche 2.0. It extends the original Tyche approach after Staufer et al. – a Markov model for generating learning paths – by integrating additional learner data beyond learning styles (Index of Learning Styles (ILS)), including learning strategies (LIST-K questionnaire), personality traits (BFI-10 questionnaire), and learning analytics captured through screen recordings. In order to be able to use the screen recordings, a heuristic evaluates them. Furthermore, this enhanced algorithm employs Markov models to dynamically generate personalized learning paths. These are based on both questionnaire responses and real-time engagement data, the weights of which undergo dynamic adjustment over time. We made a small evaluation of Tyche 2.0 without the learning analytics influence, which shows that there is room for further improvements. Future research will focus on evaluating whole Tyche 2.0 in another university setting to further improve personalization and user engagement. KW - Markov model KW - Learning paths KW - Learning style KW - Learning strategy KW - Personality traits KW - Learning analytics Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87846 SN - 978-84-09-78706-7 SP - 2562 EP - 2572 PB - IATED ER - TY - GEN A1 - Barthel, Mareike A1 - Süß, Franz A1 - Dendorfer, Sebastian T1 - Predicting intra-abdominal pressure during walking and running T2 - ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31. July 2025, Stockholm N2 - Intra-abdominal pressure (IAP) is an important physiological parameter, which is difficult to measure during physical activity. In this study, motion capture, musculoskeletal modeling and a transformer encoder model are used to predict IAP during walking and running. The model showed promising results with an overall mean percentage error of 13.5% and a Pearson correlation coefficient of 0.85. Minor challenges included the lower accuracy for fast walking and running and the limited amount of data. All in all, the prediction of IAP was successful, which opens up prospects for further applications. KW - Intra-abdominal pressure; machine learning; motion capture; musculoskeletal modeling; transformer encoder Y1 - 2025 ER - TY - THES A1 - Vokkethur, Rachana T1 - Design, simulation, fabrication, measurement, and analysis of 3D-printed radio frequency conductive structures N2 - Additive manufacturing has emerged as a disruptive technology in the field of electronics, offering new possibilities for the fabrication of complex, lightweight, and customizable components. Conventional PCB manufacturing relies on multi-step processes and is limited to planar geometries, making it less suitable for rapid prototyping or integration into non-standard surfaces. In contrast, Fused Deposition Modelling (FDM) provides a cost-effective and accessible approach to directly fabricate functional electronic structures by combining conductive and dielectric materials within a single printing process. This thesis examines the design, simulation, fabrication, measurement and analysis of 3D-printed conductive transmission lines utilising FDM technology. A conductive filament and a dielectric filament are employed to realise fully integrated microstrip and coaxial structures. Electromagnetic simulations are performed to optimise the geometry for RF performance, and the printed prototypes are experimentally characterised using vector network analyser measurements. The analysis focuses on the transmission coefficients and the reflection coefficients, providing insights into impedance matching, insertion loss, and frequency-dependent behaviour. These findings confirm that FDM-based additive manufacturing can produce functional RF structures with reliable performance, despite material and fabrication limitations. The work demonstrates the potential of 3D printing as a flexible and low-cost method for prototyping radio frequency components, highlighting future directions that include improved material characterisation, connector integration, and the design of more advanced components, such as filters and antennas. Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87809 CY - Regensburg ER - TY - JOUR A1 - Schifferl, Ludwig A1 - Stojanovic-Blab, Maja A1 - Kellner, Florian A1 - Lienland, Bernhard T1 - Performance Measurement in Beratungsunternehmen JF - CONTROLLER Magazin N2 - Der vorliegende Beitrag untersucht die Implementierung des Performance Measurements in der wissensintensiven Dienstleistungsbranche am Beispiel einer KMU-Unternehmensberatung. Dabei werden zentrale Herausforderungen sowie praxisorientierte Handlungsempfehlungen herausgearbeitet. Y1 - 2026 UR - https://www.haufe.de/controlling/zeitschrift/controller-magazin/controller-magazin-ausgabe-12026-controller-magazin_28_669660.html IS - 1 SP - 20 EP - 25 PB - Verlag für ControllingWissen AG ER - TY - THES A1 - Meißner, Jonathan T1 - Beitrag zur Bemessung von monolithischem Planziegelmauerwerk im Außenwand-Decken-Knoten N2 - In dieser Arbeit werden die bei monolithischem Planziegelmauerwerk auftretenden Beanspruchungssituationen am Außenwand-Decken-Knoten sowohl experimentell als auch numerisch untersucht sowie die daraus resultierenden Besonderheiten charakterisiert. Vor dem Hintergrund, dass die Knotenmomente mit der vereinfachten Rahmenberechnung nach [EN 1996-1-1:2022] Anhang C.3 basierend auf der Elastizitätstheorie ermittelt werden, liegt der Fokus vor allem auf der Ermittlung und Quantifizierung von nichtlinearen Einflüssen auf die Knotenmomente am Wandkopf und -fuß. N2 - In this thesis, the load situations occurring in monolithic clay unit masonry with thin layer mortar at the exterior wall-floor joint are investigated as well experimentally as numerically, and the resulting particularities are characterized. Against the background that the nodal moments are determined with the joint analysis method according to [EN 1996-1-1:2022] Annex C.3 based on elastic material behaviour, the focus is mainly on the determination and quantification of nonlinear effects on the nodal moments at the top and bottom of the wall. KW - Mauerwerk KW - Wand-Decken-Knoten KW - Planziegel Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20240625-1721392-1-4 CY - München ER - TY - BOOK A1 - Kriza, Thomas ED - Lerch, Sebastian T1 - Ethische Fragen der Digitalisierung und ihre Thematisierung in Forschung und Lehre an Hochschulen BT - Dimensionen von Transdisziplinarität T3 - Interdisziplinarität in der Hochschullehre N2 - Die Digitalisierung als fortschreitende Durchdringung aller Lebensbereiche durch Informationstechnik geht mit gesellschaftlichen Transformationsprozessen und weitreichenden ethischen Fragen einher. Diese Fragen haben einen transdisziplinären Charakter in dem Sinne, dass sie sich nur durch ein Überschreiten von fachlichen Perspektiven einzelner wissenschaftlicher Disziplinen und durch eine ganzheitliche Bezugnahme auf gesellschaftliche Auswirkungen angemessen adressieren lassen. Anhand der technischen Möglichkeiten von Big Data Analytics lässt sich aufzeigen, wie disziplinübergreifende wissenschaftliche Forschungen zu technischen Anwendungen führen können, die gewichtige, gesellschaftlich relevante Fragen nach ihrer ethischen Vertretbarkeit aufwerfen. Diese können in letzter Konsequenz auch ethische Grundprinzipien und Auffassungen des Menschseins ins Wanken bringen. Besonders prägnant lässt sich dies mit den Studien des Big-Data-Forschers Michal Kosinski und seines Forscherkreises sowie den daraus resultierenden Anwendungen von Unternehmen wie Cambridge Analytica vor Augen führen: Die Analyse von großen Mengen digitaler persönlicher Daten eröffnet umfassende Möglichkeiten zur Verhaltensbeeinflussung und stellt dabei sehr weitreichend auch ethische Grundwerte wie Privatheit in Frage. Universitäten und Hochschulen sind aufgefordert, durch transdisziplinäre Lehre und Forschung die ethischen Fragen der Digitalisierung als bestimmende Themen der Gegenwart direkt zu adressieren. Y1 - 2023 SN - 9783763974610 U6 - https://doi.org/10.3278/9783763974610 SP - 45 EP - 58 PB - wbv Publikation CY - Bielefeld ER - TY - GEN A1 - Hofmann, Philipp T1 - Beitrag zur Bemessung des Außenwand-Decken-Knotens in monolithischer Bauweise auf Basis experimenteller und numerischer Untersuchungen Y1 - 2025 ER - TY - JOUR A1 - Pierobon, Chiara A1 - Sharshenova, Aijan T1 - German and Russian Public Diplomacy Efforts in Kyrgyzstan: A Comparative Study of Norm Entrepreneurship JF - Europe-Asia Studies N2 - This article explores Russian and German public diplomacy efforts in Central Asia through the example of Kyrgyzstan. Due to a difficult economic and socio-political situation, Kyrgyzstan remains open to externally funded programmes and projects, including initiatives funded by foreign governments, and thus offers a unique environment for the study of public diplomacy. The article looks at transnational public diplomacy actors such as German political foundations and Russian-sponsored organisations active in the country. Overall, the article offers interesting insights into the nature and substance of the soft power policies pursued by Germany and Russia that are relevant for Kyrgyzstan and beyond. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87380 VL - 75 IS - 8 SP - 1384 EP - 1407 PB - Taylor & Francis ER -