@article{58438,
  abstract     = {{This study presents a numerical approach using a 3D finite element model to quantify the remaining clamp load of a plastic nut joint after a specific time. The viscoelastic relaxation of a thermoplastic nut, which is predominantly screwed on a welding stud, is described by a material card using Prony Series. Prony Series are derived from experimental dynamical mechanical analysis with different moisture and fiber contents of the thermoplastic. Since plastic nuts usually do not have preformed threads, the increased temperatures and resulting stresses from the thread-forming process are considered in the simulation. An FE model is created and verified by substrate stress relaxation tests. Experimental clamp load measurements with miniature compression load cells verify the clamp load prediction and show a good agreement. The developed model is used to analyze the clamp load distribution within the threads and reveals an almost even distribution within the threads.}},
  author       = {{Wippermann, Jan and Meschut, Gerson}},
  issn         = {{0043-2288}},
  journal      = {{Welding in the World}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber contents}}},
  doi          = {{10.1007/s40194-025-01928-4}},
  year         = {{2025}},
}

@article{58454,
  abstract     = {{Powertrain concepts incorporating renewable energies are an essential element of the energy revolution and increasingly require efficient manufacturing processes for electronic systems. Particularly, the joining of structures to be thermally coupled, such as the battery modules and the thermal management system (TMS), poses new challenges in process design. Factors that limit the process include the increased density, viscosity, and abrasiveness of thermal pastes as well as the pressure sensitivity of battery modules. The research presented aims to systematically investigate the influences of joining parameters on flow behavior, the formation of air inclusions, and the occurring joining forces to understand and systematically optimize the joining process. Employing a test setup following the Closing-Hele-Shaw-Cell, the influence of specific process parameters on the joining process such as the joining speed, joining gap, application pattern, and temperature was investigated for a silicone- and a polyurethane-based thermally conductive paste. The results indicate a high dependency of both the ensuing joining forces and the flow behavior on the parameters investigated. These insights imply a potential systematic parameter optimization and the specific adaptation of the joining process to improve flow behavior and reduce compressive stresses. This can ensure lower component deformations and qualify the process for the employment of cell types with a higher power density, a reduced encapsulation, and lower stiffness while at the same time improving production rates.}},
  author       = {{Gilich, Julian and Teutenberg, Dominik and Meschut, Gerson and Gröger, B. and Wiebicke, F. and Koch, I. and Gude, M.}},
  issn         = {{0043-2288}},
  journal      = {{Welding in the World}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Effects of various process parameters in the joining process on the squeeze flow of highly viscous thermal interface materials}}},
  doi          = {{10.1007/s40194-025-01929-3}},
  year         = {{2025}},
}

@article{59599,
  abstract     = {{Background: Agility is crucial in game sports, requiring both motor and cognitive skills. Athletes must perceive and process information to adapt movements, yet traditional agility tests often lack cognitive and multidirectional demands. Additionally, modern test systems are mostly stationary. This study evaluated the novel and portable “Functional Agility Square Test” (FAST) for validity, reliability, and usefulness. Methods: To assess discriminant validity, 22 game sports (GS) and 22 non-game sports (NGS) athletes participated in one session. Test–retest reliability was examined with 36 GS athletes (20 female) across three sessions. Participants performed cognitive (FAST_COG), preplanned (FAST_MOT), and randomized (FAST_SAT) reactive change-of-direction tasks, each repeated three times per session. Results: Results showed significantly lower response times (RTs) in GS compared to NGS (p &lt; 0.05). Mean RTs indicated moderate relative reliability (ICC 0.50–0.74), while medians showed moderate to good reliability (ICC 0.59–0.83). Usefulness was evident from the first session (FAST_MOT) or from the third session (FAST_SAT) based on median RTs. Conclusions: Thus, the FAST seems to be valid, reliable, and sensitive for GS-based agility assessment. Its portable setup enables ecologically valid field testing. Future research should further increase task complexity to better simulate game conditions.</jats:p>}},
  author       = {{Müller, Romina Desiree and Büchel, Daniel and Baumeister, Jochen}},
  issn         = {{2411-5142}},
  journal      = {{Journal of Functional Morphology and Kinesiology}},
  number       = {{2}},
  publisher    = {{MDPI AG}},
  title        = {{{Validation, Reliability, and Usefulness of the Functional Agility Square Test [FAST]}}},
  doi          = {{10.3390/jfmk10020126}},
  volume       = {{10}},
  year         = {{2025}},
}

@article{59805,
  abstract     = {{The LLC converter achieves the highest efficiency in resonant operation. Conventionally, the input DC-link voltage is controlled to operate the LLC converter at resonance for the given operating point. However, the DC-link capacitor voltage shows a low-frequency voltage ripple (typically the second harmonic of grid frequency) in cascaded converters so that the LLC has to adapt its switching frequency within the grid period. Conventionally, the LLC converter operates 50% of the time above the resonant frequency of 40 kHz and 50% below resonance. Both operating conditions cause additional losses. However, experimental measurements indicate that the below-resonance operation causes significantly higher losses than above-resonance operation due to much higher primary and secondary transformer currents. It is better to increase the DC-link voltage by 30% of the peak-to-peak low-frequency voltage ripple to mostly avoid below-resonance operation (i.e., from 650 V to 680 V in this case). With the proposed control, the LLC converter operates about 75% of time over resonance and only 25% of time below resonance. The overall efficiency increases from 97.66% to 97.7% for the average operating point with an 80% load current. This corresponds to a 2% total loss reduction. Finally, the peak resonance capacitor voltage decreases from 910 V to 790 V (−13%).}},
  author       = {{Unruh, Roland and Böcker, Joachim and Schafmeister, Frank}},
  issn         = {{2079-9292}},
  journal      = {{Electronics}},
  keywords     = {{adaptive DC-link voltage, cascaded H-bridge, resonant operation, Full-Bridge Converter, loss minimization, LLC Resonant Converter, peak capacitor voltage reduction}},
  number       = {{8}},
  publisher    = {{MDPI AG}},
  title        = {{{Adaptive DC-Link Voltage Control for 22 kW, 40 kHz LLC Resonant Converter Considering Low-Frequency Voltage Ripple}}},
  doi          = {{10.3390/electronics14081517}},
  volume       = {{14}},
  year         = {{2025}},
}

@article{58531,
  abstract     = {{<jats:title>Zusammenfassung</jats:title>
          <jats:p>Die fortschreitende Digitalisierung stellt Schulen vor Herausforderungen, insbesondere bei der Nutzung digitaler Medien in unterrichtlichen Lehr- und Lernprozessen mit dem Ziel, den (über-) fachlichen Kompetenzerwerb aller Schüler*innen zu unterstützen. Betrachtet man die digitalen Kompetenzen, zeigt sich, dass auch diese sozialen Disparitäten unterliegen. Dennoch lassen sich in ICILS organisational resiliente Schulen identifizieren, deren Schüler*innen trotz herausfordernder Schüler*innenkomposition überdurchschnittliche digitale Kompetenzen erreichen. Studien, die fachspezifische Kompetenzen untersuchen, lassen erkennen, dass organisational resiliente Schulen gemeinsame Merkmale aufweisen. Ein Merkmal, das in diesem Zusammenhang bedeutsam erscheint, ist die Gestaltung von Unterrichtsqualitätsmerkmalen. Digitale Kompetenzen erscheinen diesbezüglich unerforscht, sodass der vorliegende Beitrag mittels Daten aus der BMBF-geförderten qualitativen ICILS-Vertiefungsstudie UneS-ICILS 2018 (Unerwartbar erfolgreiche Schulen im digitalen Wandel) Basisdimensionen von Unterrichtsqualität an resilienten Schulen in Bezug auf digitale Kompetenzen untersucht. Für die Analyse wurden 22 leitfadengestützte Interviews mit Lehrkräften und sieben Gruppeninterviews mit Schüler*innen im Hinblick auf eine ‚effiziente Klassenführung‘, ‚kognitive Aktivierung‘ und ‚konstruktive Unterstützung‘ inhaltsanalytisch ausgewertet. Im Ergebnis zeigt die Analyse der Dimension ‚effiziente Klassenführung‘, dass sich u. a. die Organisation und Struktur mittels digitaler Medien wie beispielsweise durch den Einsatz digitaler Lernplattformen als bedeutende Faktoren herausstellen. Hinsichtlich der ‚kognitiven Aktivierung‘ wird der Einsatz digitaler Tools für das Anknüpfen an individuelles Vorwissen als bedeutend hervorgehoben. Darüber hinaus zeigt sich bei der Dimension ‚konstruktive Unterstützung‘ die Förderung des selbstgesteuerten Lernens und das Ausbilden von Unterstützungsstrukturen zum (kooperativen) Lernen mit digitalen Medien als bedeutsam. Induktiv ergänzt wurde die Dimension ‚Inhaltswahl und selektive Fokussierung‘, die die hohe Relevanz des Erwerbs digitaler Kompetenzen im Unterricht an den resilienten Schulen verdeutlicht.</jats:p>}},
  author       = {{Drossel, Kerstin and Niemann, Jan and Oldak, Anna and Eickelmann, Birgit}},
  issn         = {{2190-6890}},
  journal      = {{Zeitschrift für Bildungsforschung}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Basisdimensionen der Unterrichtsqualität im Kontext des Erwerbs digitaler Kompetenzen an resilienten Schulen}}},
  doi          = {{10.1007/s35834-024-00468-z}},
  year         = {{2025}},
}

@article{58613,
  abstract     = {{Self-assembled DNA origami lattices on silicon oxide surfaces have great potential to serve as masks in molecular lithography. However, silicon oxide surfaces come in many different forms and the type and history of the silicon oxide has a large effect on its physicochemical surface properties. Therefore, we here investigate DNA origami lattice formation on differently fabricated SiOx films on silicon wafers after wet-chemical oxidation by RCA1. Despite having similar oxide compositions and hydroxylation states, of all surfaces tested, only thermally grown SiOx performs similarly well as native oxide. For the other SiOx films deposited by plasma-enhanced chemical vapor deposition and magnetron sputtering, DNA origami adsorption is strongly suppressed. This is attributed to an increased surface roughness and a lower oxide density, respectively. Our results demonstrate that the employed SiOx surface may decide over the outcome of an experiment and should be considered as an additional parameter that may require optimization and fine-tuning before high-quality lattices can be assembled. In particular, our observations suggest that efficient DNA origami lattice assembly on SiOx surfaces requires a low surface roughness and a high oxide density.}},
  author       = {{Pothineni, Bhanu Kiran and Theile-Rasche, Chantal and Müller, Hendrik and Grundmeier, Guido and de los Arcos de Pedro, Maria Teresa and Keller, Adrian}},
  journal      = {{Chemistry – A European Journal}},
  pages        = {{e202404108}},
  title        = {{{DNA Origami Adsorption and Lattice Formation on Different SiOx Surfaces}}},
  doi          = {{10.1002/chem.202404108}},
  year         = {{2025}},
}

@article{60179,
  author       = {{Weber, KS and Schlesinger, S and Goletzke, J and Straßburger, K and Zaharia, OP and Trenkamp, S and Wagner, R and Lieb, W and Buyken, Anette and Roden, M and Herder, C and group, GDS}},
  issn         = {{1475-2840}},
  journal      = {{Cardiovasc Diabetol}},
  number       = {{1}},
  pages        = {{53}},
  title        = {{{Associations of carbohydrate quality and cardiovascular risk factors vary among diabetes subtypes.}}},
  volume       = {{24}},
  year         = {{2025}},
}

@article{60180,
  author       = {{Kranz, RM and Kettler, C and Anand, C and Koeder, C and Husain, S and Schoch, N and Buyken, Anette and Englert, H}},
  issn         = {{0260-1060}},
  journal      = {{Nutr Health}},
  number       = {{1}},
  pages        = {{175--186}},
  title        = {{{Effect of a controlled lifestyle intervention on medication use and costs: The Healthy Lifestyle Community Program (cohort 2).}}},
  volume       = {{31}},
  year         = {{2025}},
}

@inproceedings{63704,
  author       = {{Wittner, Dominic and Bossek, Jakob}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{340–348}},
  publisher    = {{ACM}},
  title        = {{{Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling}}},
  doi          = {{10.1145/3712256.3726357}},
  year         = {{2025}},
}

@article{63710,
  author       = {{Cenikj, Gjorgjina and Petelin, Gasper and Seiler, Moritz and Cenikj, Nikola and Eftimov, Tome}},
  journal      = {{Swarm Evol. Comput.}},
  pages        = {{101894}},
  title        = {{{Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?}}},
  doi          = {{10.1016/J.SWEVO.2025.101894}},
  volume       = {{94}},
  year         = {{2025}},
}

@article{63882,
  author       = {{Dinkelbach, Lars and Wudy, Stefan A. and Hartmann, Michaela F. and Libuda, Lars and Föcker, Manuel and Hebebrand, Johannes and Hinney, Anke and Nöthlings, Ute and Alexy, Ute and Grasemann, Corinna and Hirtz, Raphael}},
  issn         = {{0165-0327}},
  journal      = {{Journal of Affective Disorders}},
  publisher    = {{Elsevier BV}},
  title        = {{{Urinary steroid metabolome shows adrenal, gonadal, and neuroactive steroid dysregulation in adolescents with depressive symptoms}}},
  doi          = {{10.1016/j.jad.2025.120867}},
  volume       = {{399}},
  year         = {{2025}},
}

@article{64098,
  author       = {{Scheideler, Christian and Padalkin, Andreas and Kumar, Manish}},
  journal      = {{Reconfiguration and locomotion with joint movements in the amoebot model. Auton. Robots 49(3): 22 (2025)}},
  title        = {{{Reconfiguration and locomotion with joint movements in the amoebot model. Auton. Robots 49(3): 22 (2025)}}},
  year         = {{2025}},
}

@article{59258,
  author       = {{Winkler, Michael}},
  issn         = {{0095-4616}},
  journal      = {{Applied Mathematics & Optimization}},
  number       = {{2}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Rough Data in an Evolution System Generalizing 1D Thermoviscoelasticity with Temperature-Dependent Parameters}}},
  doi          = {{10.1007/s00245-025-10243-9}},
  volume       = {{91}},
  year         = {{2025}},
}

@article{62081,
  author       = {{Gerritzen, Johannes and Gröger, Benjamin and Zscheyge, Matthias and Hornig, Andreas and Gude, Maik}},
  issn         = {{0264-1275}},
  journal      = {{Materials &amp; Design}},
  publisher    = {{Elsevier BV}},
  title        = {{{3D viscoelastic plastic model coupled with a continuum damage formulation for fiber reinforced polymers}}},
  doi          = {{10.1016/j.matdes.2025.114969}},
  volume       = {{260}},
  year         = {{2025}},
}

@article{57829,
  abstract     = {{Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The development of mechatronic systems is undergoing a similar transformation. Over the past decade, modeling, simulation, and optimization techniques have become integral to the design process, paving the way for the adoption of AI-based methods. In this paper, we examine the potential for integrating AI into the engineering design process, using the V-model from the VDI guideline 2206, considered the state-of-the-art in product design, as a foundation. We identify and classify AI methods based on their suitability for specific stages within the engineering product design workflow. Furthermore, we present a series of application examples where AI-assisted design has been successfully implemented by the authors. These examples, drawn from research projects within the DFG Priority Program \emph{SPP~2353: Daring More Intelligence - Design Assistants in Mechanics and Dynamics}, showcase a diverse range of applications across mechanics and mechatronics, including areas such as acoustics and robotics.}},
  author       = {{de Payrebrune, Kristin M. and Flaßkamp, Kathrin and Ströhla, Tom and Sattel, Thomas and Bestle, Dieter and Röder, Benedict and Eberhard, Peter and Peitz, Sebastian and Stoffel, Marcus and Rutwik, Gulakala and Aditya, Borse and Wohlleben, Meike Claudia and Sextro, Walter and Raff, Maximilian and Remy, C. David and Yadav, Manish and Stender, Merten and van Delden, Jan and Lüddecke, Timo and Langer, Sabine C. and Schultz, Julius and Blech, Christopher}},
  journal      = {{Technische Mechanik - European Journal of Engineering Mechanics}},
  number       = {{1}},
  pages        = {{1--23}},
  title        = {{{The impact of AI on engineering design procedures for dynamical systems}}},
  doi          = {{10.24352/UB.OVGU-2025-037}},
  volume       = {{45}},
  year         = {{2025}},
}

@article{55400,
  abstract     = {{This study contributes to the evolving field of robot learning in interaction
with humans, examining the impact of diverse input modalities on learning
outcomes. It introduces the concept of "meta-modalities" which encapsulate
additional forms of feedback beyond the traditional preference and scalar
feedback mechanisms. Unlike prior research that focused on individual
meta-modalities, this work evaluates their combined effect on learning
outcomes. Through a study with human participants, we explore user preferences
for these modalities and their impact on robot learning performance. Our
findings reveal that while individual modalities are perceived differently,
their combination significantly improves learning behavior and usability. This
research not only provides valuable insights into the optimization of
human-robot interactive task learning but also opens new avenues for enhancing
the interactive freedom and scaffolding capabilities provided to users in such
settings.}},
  author       = {{Beierling, Helen and Beierling, Robin  and Vollmer, Anna-Lisa}},
  journal      = {{Frontiers in Robotics and AI}},
  keywords     = {{human-robot interaction, human-in-the-loop learning, reinforcement learning, interactive robot learning, multi-modal feedback, learning from demonstration, preference-based learning, scaffolding in robot learning}},
  publisher    = {{Frontiers }},
  title        = {{{The power of combined modalities in interactive robot learning}}},
  volume       = {{12}},
  year         = {{2025}},
}

@article{57472,
  abstract     = {{In this paper we introduce, in a Hilbert space setting, a second order dynamical system with asymptotically vanishing damping and vanishing Tikhonov regularization that approaches a multiobjective optimization problem with convex and differentiable components of the objective function. Trajectory solutions are shown to exist in finite dimensions. We prove fast convergence of the function values, quantified in terms of a merit function. Based on the regime considered, we establish both weak and, in some cases, strong convergence of trajectory solutions toward a weak Pareto optimal solution. To achieve this, we apply Tikhonov regularization individually to each component of the objective function. This work extends results from single objective convex optimization into the multiobjective setting.}},
  author       = {{Bot, Radu Ioan and Sonntag, Konstantin}},
  journal      = {{Journal of Mathematical Analysis and Applications}},
  keywords     = {{Pareto optimization, Lyapunov analysis, gradient-like dynamical systems, inertial dynamics, asymptotic vanishing damping, Tikhonov regularization, strong convergence}},
  title        = {{{Inertial dynamics with vanishing Tikhonov regularization for multobjective optimization}}},
  year         = {{2025}},
}

@phdthesis{61916,
  abstract     = {{Diese Dissertation untersucht Optimierungsverfahren für die nachhaltige Gestaltung von Energiesystemen mit Schwerpunkt auf dem Elektrizitätssektor im Kontext der Energiewende. Aufbauend auf Methoden des Operations Research werden Planungs- und Steuerungsprobleme in den Bereichen Stromverteilnetze und energiebewusste Produktionsplanung adressiert. Die Arbeit umfasst fünf Beiträge: (P1) entwickelt ein lineares Multi-Commodity-Flow-Modell für die kostenoptimale Erweiterung großskaliger Verteilnetze unter Berücksichtigung von Resilienzszenarien und analysiert den Zusammenhang zwischen Modellparametern und Rechenzeiten; (P2) und (P3) befassen sich mit der mehrzielorientierten flexible Job Shop Scheduling-Optimierung unter Echtzeit-Strompreisen, wobei (P3) zusätzlich CO2-Emissionen als Zielgröße integriert; (P4) erweitert dieses Szenario um simultane Energiebeschaffungsentscheidungen aus Netz, erneuerbaren Quellen und Speichersystemen unter Unsicherheit mittels Rolling-Horizon-Ansatz; (P5) vergleicht unterschiedliche Klassen von Many-Objective Evolutionary Algorithms (dominanz-, indikatoren- und dekompositionsbasiert) im Hinblick auf Konvergenz, Diversität und Vollständigkeit der Paretofront. Die entwickelten Modelle und Algorithmen – darunter memetische Varianten von NSGA-II, NSGA-III, θ-DEA und HypE – werden durch umfassende Rechenexperimente evaluiert. Die Ergebnisse liefern praxisrelevante Handlungsempfehlungen für Netzbetreiber, produzierende Unternehmen und politische Entscheidungsträger und leisten einen Beitrag zur effizienten, zuverlässigen und emissionsarmen Energieversorgung der Zukunft.}},
  author       = {{Burmeister, Sascha Christian}},
  publisher    = {{LibreCat University}},
  title        = {{{Optimization Techniques for Sustainable Energy System Design}}},
  doi          = {{10.17619/UNIPB/1-2403}},
  year         = {{2025}},
}

@inproceedings{61963,
  author       = {{Eckertz, Daniel and Sander, Mattes and Masroor, Omar and Dumitrescu, Roman}},
  booktitle    = {{2025 8th International Conference on Information and Computer Technologies (ICICT)}},
  publisher    = {{IEEE}},
  title        = {{{Linking Abstract Digital Twin Data to 3D Models: A Configurable Approach for Real-Time Adaptation}}},
  doi          = {{10.1109/icict64582.2025.00010}},
  year         = {{2025}},
}

@inproceedings{61998,
  author       = {{Disselkamp, Jan-Philipp and Lick, Jonas  and Azem, Ghayth  and Grothe, Robin  and Ptock, Lukas  and Meyer, Matthias  and Kürpick, Dominik  and Hovemann, Aschot  and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Conference on Production Systems and Logistics: CPSL 2025}},
  editor       = {{Herberger, David and Hübner, Marco}},
  pages        = {{640--649}},
  publisher    = {{publish-Ing.}},
  title        = {{{Generating An Automated Assembly Graph On The Basis Of The 3D-Geometry Of A Product Assembly Group}}},
  year         = {{2025}},
}

