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 -