TY - JOUR A1 - Gedeon, Steven A1 - Huber, Florian T1 - Using AI-Enabled Images and Comic Narrative to Enhance Entrepreneurship Education JF - Entrepreneurship Education and Pedagogy N2 - This learning innovation is an engaging technique to help students learn abstract concepts such as entrepreneurship theory, mindsets, and methods in a playful and exciting way. We explore how current AI tools can be used by entrepreneurship educators to enhance their course materials by creating memorable images and story-based, highly visual comic book content (“graphic novels”). We implemented these enhancements in an interactive learning platform based on Articulate Storyline and tested them in an introductory entrepreneurship course with over 2000 students per year on building an entrepreneurial mindset. In this article, we include sample copies of the images and graphic novel comics and highlight key methods, lessons, results, and design artifacts created during the course of our learning journey. Educators may add these free Open Educational Resource (OER) assets to their own courses by linking to the online version. We believe this approach to entrepreneurship education enhances students’ engagement, memory retention, and the ability to identify and name underlying concepts and entrepreneurship theories. We hope to spark the interest of other entrepreneurship educators to use similar approaches at their universities. UR - https://doi.org/10.1177/25151274251358708 Y1 - 2025 UR - https://doi.org/10.1177/25151274251358708 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-68060 SN - 2515-1274 VL - 9 IS - 2 SP - 327 EP - 345 PB - Sage CY - London ER - TY - JOUR A1 - Azzam, Mohamed A1 - Sauer, Dirk Uwe A1 - Endisch, Christian A1 - Lewerenz, Meinert T1 - Comprehensive Analysis of Float Current Behavior and Calendar Aging Mechanisms in Lithium‐Ion Batteries JF - Batteries & Supercaps N2 - Aiming to quantify degradation currents from solid electrolyte interphase formation (ISEIgrowth) and gain of active lithium due to cathode lithiation (ICL), resulting from electrolyte decomposition, the float current behavior of lithium-ion batteries is investigated with different cathode materials. The float current, IFloat , represents the recharge current required to maintain the cell at a fixed potential during calendar aging. This current arises as lithium is irreversibly consumed at the anode or inserted into the cathode, shifting the electrode potentials. To account for the asymmetric response of the electrodes, a voltage-dependent scaling factor, SF, is introduced, derived from the slopes of the electrode-specific voltage curves. Using this factor in combination with measured float currents and capacity loss rates from check-up tests, ISEIgrowth and ICL is quantified at 30 °C across various float voltages. Although the SF and capacity data are limited to 30 °C, the model is extended to a range of 5–50 °C using only float current measurements. The results show that using capacity loss rates alone underestimate ISEIgrowth and that ICL, contributes significantly to the observed float current at elevated voltages, indicating that cathode lithiation plays an increasingly important role in high-voltage calendar aging. UR - https://doi.org/10.1002/batt.202500349 Y1 - 2025 UR - https://doi.org/10.1002/batt.202500349 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-68054 SN - 2566-6223 VL - 9 IS - 1 PB - Wiley CY - Weinheim ER - TY - CHAP A1 - Horn, Alexander A1 - Adam, Philip-Roman A1 - Schmidtner, Stefanie T1 - A Benchmark Dataset for Bus Travel and Dwell Time Prediction T2 - 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC60802.2025.11423733 Y1 - 2026 UR - https://doi.org/10.1109/ITSC60802.2025.11423733 SN - 979-8-3315-2418-0 SP - 2047 EP - 2054 PB - IEEE CY - Piscataway ER - TY - BOOK A1 - Brand, Klaus A1 - von Groote-Bidlingmaier, Carolin A1 - Kaiser, Peter A1 - Strauß, Albert A1 - Hutner, Petra T1 - ArcGIS 10 BT - das deutschsprachige Handbuch für ArcView und ArcEditor, mit zahlreichen Übungsbeispielen und Gutschein für die ESRI-Evaluation-DVD in der aktuellen Programmversion Y1 - 2011 SN - 978-3-87907-500-3 PB - Wichmann CY - Berlin ET - 3. Aufl. ER - TY - BOOK A1 - Hutner, Petra T1 - Transdisziplinärer Ansatz zur Förderung einer Circular Economy durch nachhaltiges Ressourcenmanagement BT - Identifikation von Handlungsoptionen und Evaluierung von Umweltauswirkungen der Abfallvermeidung Y1 - 2017 SN - 978-3-8300-9622-1 SN - 978-3-339-09622-7 N1 - Dissertation, Universität Augsburg, 2017 PB - Verlag Dr. Kovač CY - Hamburg ER - TY - JOUR A1 - Hutner, Petra A1 - Helbig, Christoph A1 - Stindt, Dennis A1 - Thorenz, Andrea A1 - Tuma, Axel T1 - Transdisciplinary Development of a Life Cycle–Based Approach to Measure and Communicate Waste Prevention Effects in Local Authorities JF - Journal of Industrial Ecology UR - https://doi.org/10.1111/jiec.12781 Y1 - 2018 UR - https://doi.org/10.1111/jiec.12781 SN - 1530-9290 VL - 22 IS - 5 SP - 1050 EP - 1065 PB - Wiley CY - Oxford ER - TY - THES A1 - Schlereth, Dunja Veronika T1 - Die Transformation interner Kreationsprozesse bei der Ideenfindung in Marketing- und Kreativagenturen durch die Verschmelzung von künstlicher und menschlicher Kreativität BT - eine Analyse von Best-Practice-Modellen N2 - Angesichts der dynamischen Fortschritte in der KI-Technologie und den damit einhergehenden neuen Möglichkeiten in der Kreativwirtschaft, strebt diese Arbeit danach, zu erforschen, wie der Ideenfindungsprozess von Marketingagenturen zwischen KI und menschlicher Kreativität mit Hinblick auf die spezifischen Kreativitätsanforderungen verschiedener Teilprozesse gestaltet werden kann. Die methodologische Herangehensweise kombiniert theoretische Forschung, die sich insbesondere auf die Analyse etablierter Modelle fokussiert, mit qualitativen Experteninterviews. Dabei wurde ein Schwerpunkt auf die Analyse von Best- Practice-Modellen gelegt, um bestehende Praktiken und das Potenzial der KI- Integration zu untersuchen. Im Rahmen dieser Studie wurden verschiedene Phasen des Ideenfindungsprozesses und die spezifischen Kreativitätsanforderungen an diese Phasen identifiziert, sowie die effektive Integration von KI in diese Prozesse evaluiert. Die zentralen Erkenntnisse zeigen, dass KI insbesondere in den frühen Stadien des Ideenfindungsprozesses effektiv zur Generierung ergänzender Impulse und zur Unterstützung menschlicher Kreativität eingesetzt werden kann. Ihre Fähigkeiten in fortgeschrittenen Kreativitätsstufen, vor allem in den Bereichen der assoziativen, transformationellen Kreativität, sind jedoch begrenzt. Es wurde deutlich, dass die tiefgreifende kognitive Verarbeitung und emotionale Bewertung, die in den späteren Phasen der Kreation erforderlich sind, sowie eine sorgfältige Abstimmung und menschliche Überwachung während des gesamten Prozesses entscheidend von menschlichen Fähigkeiten abhängen. Die Arbeit entwickelt ein Rahmenwerk, das darlegt, wie KI systematisch in den kreativen Prozess integriert werden kann, um sowohl die Effizienz als auch die kreative Qualität zu verbessern, ohne dabei die wesentliche Rolle menschlicher Intuition und emotionaler Intelligenz zu schmälern. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-55632 CY - Ingolstadt ER - TY - JOUR A1 - Volpato, Guilherme A1 - de Souza Pinto Pereira, Adriano A1 - Neumeier, Steffen A1 - Hotza, Dachamir A1 - Göken, Mathias A1 - Tetzlaff, Ulrich A1 - Fredel, Márcio Celso T1 - Influence of a Standard Heat Treatment on the Microstructure and Properties of Inconel X‐750 Produced by Laser Powder Bed Fusion JF - Advanced Engineering Materials N2 - The production of nickel‐base superalloys through powder bed fusion using a laser beam (PBF‐LB) offers a promising method for reducing the cost of aeronautical components, especially those with complex geometries. However, when these materials are processed using PBF‐LB, the standard heat treatments developed for conventional manufacturing routes do not consistently yield predictable microstructures or mechanical properties. Thus, this study analyzes how PBF‐LB affects the microstructure and mechanical behavior of Inconel alloy X‐750 when compared to a hot‐rolled counterpart after undergoing a standard precipitation‐hardening heat treatment (solution annealing, stabilization, and precipitation). Microstructure is examined using analytical electron microscopy and high‐energy X‐ray diffraction, while mechanical behavior is assessed through microhardness. Significant differences between both manufacturing routes are detected, so that PBF‐LB processing led to an increase in grain size, anisotropy, fraction of low‐angle grain boundaries, mean angle of misorientation, and dislocation density. Moreover, PBF‐LB promoted the formation of γ′‐Ni3(Al,Ti) and η‐Ni3Ti phases during solution annealing and stabilization, respectively. Notably, the formation of γ′ contributes to an anomalous microhardness increase observed between these steps. These findings suggest that PBF‐LB may inhibit recrystallization and facilitate precipitation during heat treatment, thereby affecting the performance of components produced using this technology. UR - https://doi.org/10.1002/adem.202500306 Y1 - 2025 UR - https://doi.org/10.1002/adem.202500306 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67931 SN - 1527-2648 VL - 27 IS - 24 PB - Wiley CY - Weinheim ER - TY - INPR A1 - Wurst, Jonas A1 - Balasubramanian, Lakshman A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder UR - https://doi.org/10.48550/arXiv.2105.01924 Y1 - 2021 UR - https://doi.org/10.48550/arXiv.2105.01924 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Influences of Vehicle Communication on Human Driving Reactions: A Simulator Study on Reaction Times and Behavior for Forensic Accident Analysis T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.4588275 Y1 - 2023 UR - https://dx.doi.org/10.2139/ssrn.4588275 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Wei, Zixiang A1 - Jiang, Yunruo A1 - Chan, Pak Hung A1 - Wang, Yiting A1 - Poledna, Yuri A1 - Donzella, Valentina T1 - Darwick: A Paired Dataset in Low-Light Driving Scenarios for Advanced Perceptual Enhancement and Benchmarking Assessment T2 - 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC58415.2024.11414063 Y1 - 2026 UR - https://doi.org/10.1109/ITSC58415.2024.11414063 SN - 979-8-3315-0592-9 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Bauer, Ingrid A1 - Gleissner, Christian A1 - Kotonski, Julia ED - Albano, Alberto ED - Aluffi, Paolo ED - Bolognesi, Michele ED - Casagrande, Cinzia ED - Colombo, Elisabetta ED - Conte, Alberto ED - Grassi, Antonella ED - Pedrini, Claudio ED - Pirola, Gian Pietro ED - Verra, Alessandro T1 - On Rigid Manifolds of Kodaira Dimension 1 T2 - Perspectives on Four Decades of Algebraic Geometry, Volume 1: In Memory of Alberto Collino UR - https://doi.org/10.1007/978-3-031-66230-0_2 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-66230-0_2 SN - 978-3-031-66229-4 SN - 978-3-031-66230-0 SP - 43 EP - 71 PB - Birkhäuser CY - Cham ER - TY - JOUR A1 - Langer, Robin A1 - Tentrup, Thomas A1 - Schweiger, Hans-Georg T1 - A Vehicle-in-the-Loop Approach for Front Camera Verification Using Adaptive High Beam JF - IEEE Open Journal of Intelligent Transportation Systems N2 - As automated driving functions based on environmental sensors become increasingly deployed, ensuring reliable performance over the vehicle lifetime is essential. Currently, verification is carried out through internal self-diagnostics, which do not always operate correctly, and periodic technical inspection, which assesses only the test criteria installation and condition. Test criteria for function and efficiency of environmental sensors are neither standardized nor routinely assessed, creating the need for new testing approaches. Previous low-cost research approaches defined a method and conducted experiments to verify a vehicle’s front camera by displaying visual stimuli and evaluating the high beam assist response. Whereas the camera’s function could be verified through a basic qualitative check, the approach did not enable a quantitative evaluation of its performance. The aim of this work was therefore to advance this approach and investigate the added value of a Vehicle-in-the-Loop test bench for front camera verification. Three tests were conducted. A supporting method was introduced to reproducibly detect and define the position of the headlight cutoff line, enabling consistent evaluation of the vehicle’s reaction. With static camera stimuli (Test I), the function of the front camera could be verified, and the influence of the vehicle geometry on the reaction was assessed. Dynamic stimuli (Test II) additionally enabled an efficiency evaluation, allowing quantitative comparison between vehicles. However, transferring the stimuli into a reproducible virtual simulation (Test III) remained challenging, as the vehicles under test did not respond consistently. Further research is required to refine and simplify the method toward a standardized periodic technical inspection procedure. UR - https://doi.org/10.1109/OJITS.2026.3672438 Y1 - 2026 UR - https://doi.org/10.1109/OJITS.2026.3672438 SN - 2687-7813 PB - IEEE CY - New York ER - TY - CHAP A1 - Banerjee, Sweta A1 - Gosch, Timo A1 - Hester, Sara A1 - Weiss, Viktoria A1 - Conrad, Thomas A1 - Donovan, Taryn A1 - Porsche, Nils A1 - Ammeling, Jonas A1 - Stroblberger, Christoph A1 - Klopfleisch, Robert A1 - Kaltenecker, Christopher A1 - Bertram, Christof A1 - Breininger, Katharina A1 - Aubreville, Marc ED - Handels, Heinz ED - Breininger, Katharina ED - Deserno, Thomas Martin ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph ED - Tolxdorff, Thomas T1 - Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN T2 - Bildverarbeitung für die Medizin 2026: Proceedings, German Conference on Medical Image Computing, Lübeck, March 15–17, 2026 UR - https://doi.org/10.1007/978-3-658-51100-5_42 Y1 - 2026 UR - https://doi.org/10.1007/978-3-658-51100-5_42 SN - 978-3-658-51100-5 SP - 203 EP - 209 PB - Springer Vieweg CY - Wiesbaden ER - TY - JOUR A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study JF - Traffic Injury Prevention N2 - Objectives Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffic crashes worldwide. With increasing regulatory pressure, such as requirements by Euro NCAP for in-vehicle impairment detection, there is a growing need for reliable, real-time monitoring solutions. While traditional DUI detection approaches focus on driving behavior or eye movement analysis, this study explores the potential of thermal imaging as a noninvasive alternative for detecting alcohol impairment. Methods We conducted a large-scale experimental study with 120 participants in a high-fidelity driving simulator, capturing thermal facial data under both non-impaired and alcohol-impaired conditions. A novel temperature extraction method was developed based on facial landmarks, incorporating multiple frames to reduce noise and improve temporal stability. Ambient cabin temperature was also recorded to normalize facial temperature readings and control for environmental influences. Several machine learning classifiers, including Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient-Boosting Models, were trained using five facial temperature features (cheek, temple, ear, forehead, and nasal tip) and evaluated via five-fold subject-wise cross-validation. Results Significant temperature changes were observed in specific facial regions (particularly the cheek, ear, temple, and nasal tip) under alcohol influence. Among the evaluated models, Logistic Regression achieved the highest average classification accuracy (62%), while SVM demonstrated the most stable performance across folds. The model showed a slight conservative bias toward predicting the baseline (non-impaired) class, thereby reducing the risk of false positive classifications. Environmental conditions, including cabin temperature, were verified to be stable across both driving sessions, ensuring the validity of the physiological measurements. Conclusions This study demonstrates the feasibility of using thermal imaging for in-vehicle DUI detection under realistic conditions. Our contributions include the development of a robust facial temperature processing pipeline, the creation of a unique dataset collected under ecologically valid conditions, and a comprehensive comparison of seven state-of-the-art classification models. Thermal imaging represents a promising complementary modality for future driver monitoring systems focused on safety and impairment detection. UR - https://doi.org/10.1080/15389588.2026.2624006 Y1 - 2026 UR - https://doi.org/10.1080/15389588.2026.2624006 SN - 1538-9588 PB - Taylor & Francis CY - Philadelphia ER - TY - JOUR A1 - Ivan, Zsanett Zsofia A1 - Hirling, Dominik A1 - Grexa, Istvan A1 - Ammeling, Jonas A1 - Molnar, Csaba A1 - Micsik, Tamas A1 - Dobra, Katalin A1 - Kuthi, Levente A1 - Sukosd, Farkas A1 - Fillinger, Janos A1 - Moldvay, Judit A1 - Toth, Erika A1 - Aubreville, Marc A1 - Miczan, Vivien A1 - Horvath, Peter T1 - A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis JF - Scientific Data N2 - Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases. UR - https://doi.org/10.1038/s41597-026-07007-7 Y1 - 2026 UR - https://doi.org/10.1038/s41597-026-07007-7 SN - 2052-4463 SP - 17 PB - Springer CY - London ER - TY - JOUR A1 - Alessandro, Massimiliano A1 - Gleissner, Christian A1 - Kotonski, Julia T1 - Semi-projective representations and twisted representation groups JF - Communications in Algebra UR - https://doi.org/10.1080/00927872.2023.2211175 Y1 - 2023 UR - https://doi.org/10.1080/00927872.2023.2211175 SN - 0092-7872 SN - 1532-4125 VL - 51 IS - 10 SP - 4471 EP - 4480 PB - Taylor & Francis CY - Philadelphia ER - TY - JOUR A1 - Rosbach, Emely A1 - Ammeling, Jonas A1 - Ganz, Jonathan A1 - Bertram, Christof A1 - Conrad, Thomas A1 - Riener, Andreas A1 - Aubreville, Marc T1 - Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology JF - Machine Learning for Biomedical Imaging N2 - Artificial intelligence (AI)-driven clinical decision support systems (CDSS) hold promise to improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may give rise to cognitive biases, such as automation and anchoring bias, wherein users may be inclined to blindly adopt system recommendations or be disproportionately influenced by the presence of AI predictions, even when they are inaccurate. These biases may be exacerbated under time pressure, pervasive in routine pathology diagnostics, or shaped by individual user characteristics. To investigate these effects, we conducted a web-based experiment in which trained pathology experts (n = 28) estimated tumor cell percentages twice: once independently and once with the aid of an AI. A subset of the estimates in each condition was performed under time constraints. Our findings indicate that AI integration generally enhances diagnostic performance. However, it also introduced a 7% automation bias rate, quantified as the number of accepted negative consultations, where a previously correct independent assessment gets overturned by inaccurate AI guidance. While time pressure did not increase the frequency of automation bias occurrence, it appeared to intensify its severity, as evidenced by a performance decline linked to increased automation reliance under cognitive load. A linear mixed-effects model (LMM) analysis, simulating weighted averaging, revealed a statistically significant positive coefficient for AI advice, indicating a moderate degree of anchoring on system output. This effect was further intensified under time pressure, suggesting that anchoring bias may become more pronounced when cognitive resources are limited. A secondary LMM evaluation assessing automation reliance, used as a proxy for both automation and anchoring bias, demonstrated that professional experience and self-efficacy were associated with reduced dependence on system support, whereas higher confidence during AI-assisted decision-making was linked to increased automation reliance. Together, these findings underscore the dual nature of AI integration in clinical workflows, offering performance benefits while also introducing risks of cognitive bias–driven diagnostic errors. As an initial investigation focused on a single medical specialty and diagnostic task, this study aims to lay the groundwork for future research to explore these phenomena across diverse clinical contexts, ultimately supporting the establishment of appropriate reliance on automated systems and the safe, effective integration of human–AI collaboration in medical decision-making. UR - https://doi.org/10.59275/j.melba.2026-87b1 Y1 - 2026 UR - https://doi.org/10.59275/j.melba.2026-87b1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67787 SN - 2766-905X VL - 3 IS - MELBA–BVM 2025 Special Issue SP - 126 EP - 147 PB - Melba editors CY - [s. l.] ER - TY - JOUR A1 - Rappsilber, Tim A1 - Krüger, Simone A1 - Raspe, Tina A1 - Reclo, Rudolf A1 - Schweiger, Hans-Georg T1 - Toxic gas emission in electric vehicles: What a battery fire means for occupant safety JF - Fire Safety Journal N2 - This work investigates the ability of occupants to escape from a battery electric vehicle during a thermal runaway of the traction battery initiated by nail penetration. Such events generate intense fires and large amounts of toxic gases, rapidly reducing the time available for safe evacuation. In controlled full-scale outdoor experiments on two identical mid-range battery electric vehicles, the smoke gas composition inside the cabin is examined. Using FTIR spectrometers and an oxygen analyzer, temporal and spatial concentrations of organic carbonates, hydrocarbons, hydrogen fluoride, hydrogen cyanide, acetylene, and oxygen are measured. Sampling locations include the driver's breathing zone, the right rear passenger's breathing zone, and the exterior right rear wheel housing. The study further evaluates occupant's escape capability using the fractional effective dose (FED) model in accordance with ISO 13571. Results show that toxic gases can reach harmful concentrations within minutes after smoke enters the cabin, though smoke entry times vary widely with fire progression. Differences in fire development and smoke dispersion strongly affect FED values and thus the time available for self-rescue. Overall, the findings provide an important basis for assessing occupant safety during battery electric vehicle fires and highlight the need for improved mitigation strategies. UR - https://doi.org/10.1016/j.firesaf.2026.104717 Y1 - 2026 UR - https://doi.org/10.1016/j.firesaf.2026.104717 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67774 SN - 1873-7226 VL - 2026 IS - 162 PB - Elsevier CY - New York ER - TY - INPR A1 - Schlamp, Anna-Lena A1 - Gerner, Jeremias A1 - Bogenberger, Klaus A1 - Huber, Werner A1 - Schmidtner, Stefanie T1 - ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic UR - https://doi.org/10.48550/arXiv.2602.14780 Y1 - 2026 UR - https://doi.org/10.48550/arXiv.2602.14780 PB - arXiv CY - Ithaca ER - TY - JOUR A1 - Glaas, Saskia A1 - Pham, Huong A1 - Münstermann, Hannes A1 - Frey, Dieter T1 - The Search for Meaning at Work: A Randomized Controlled Trial of a Cognitive Crafting Intervention JF - International Journal of Applied Positive Psychology N2 - Many employees struggle to experience a sense of meaning in their work, posing a challenge to workplace flourishing. Cognitive crafting—the process of reframing how one interprets their work—can enhance meaningful work and well-being. However, strategies to effectively promote it remain unclear. Building on positive psychology interventions, self-determination theory, and job crafting theory, we developed a brief online intervention using meaning-based reflection and cognitive reframing. Its effectiveness was evaluated in a pre-registered randomized controlled trial ( N = 260) with an active control group, assessing outcomes post-intervention and at one-month follow-up. Compared to the control group, the intervention group reported significantly higher levels of meaningful work, work engagement, and job satisfaction. However, these differences were driven by lower scores in the control group compared to baseline, while the intervention group remained stable. These findings highlight the complexity of designing effective cognitive crafting interventions and underscore the need for further theory-driven research to identify strategies that reliably enhance positive work evaluations and work-related well-being. UR - https://doi.org/10.1007/s41042-026-00274-0 Y1 - 2026 UR - https://doi.org/10.1007/s41042-026-00274-0 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67739 SN - 2364-5059 VL - 11 IS - 1 PB - Springer CY - Cham ER - TY - CHAP A1 - Fend, Lars A1 - Fiala, Brigitte ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - Migros - Ein Stück Schweizer Nachbarschaft T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 173 EP - 200 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - CHAP A1 - Fend, Lars A1 - Fiala, Brigitte ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - TESCO - Efficient Consumer Response beginnt beim Verbraucher! T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 121 EP - 145 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - CHAP A1 - Fend, Lars A1 - Specht, Mark ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - Superquinn - Das Bumerang-Prinzip: Erfolgreiche Kundenbindung statt Neukundenakquisition T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 69 EP - 89 PB - Deutscher Fachverlag CY - Frankfurt am Main ER -