@article{59846, author = {{Mildorf, Jarmila}}, issn = {{0039-4130}}, journal = {{Studium Ricerca, Letteratura}}, number = {{1}}, pages = {{134--160}}, title = {{{The Voice of the Bard: Milton’s Paradise Lost on Radio}}}, volume = {{121}}, year = {{2025}}, } @article{59847, abstract = {{Abstract The surface-assisted assembly of DNA origami lattices is a potent method for creating molecular lithography masks. Lattice quality and assembly kinetics are controlled by various environmental parameters, including the employed surface, the assembly temperature, and the ionic composition of the buffer, with optimized parameter combinations resulting in highly ordered lattices that can span surface areas of several cm2. Established assembly protocols, however, employ assembly times ranging from hours to days. Here, the assembly of highly ordered hexagonal DNA origami lattices at mica surfaces is observed within few minutes using high-speed atomic force microscopy (HS-AFM). A moderate increase in the DNA origami concentration enables this rapid assembly. While forming a regular lattice takes 10 min at a DNA origami concentration of 4 nM, this time is shortened to about 2 min at a concentration of 6 nM. Increasing the DNA origami concentration any further does not result in shorter assembly times, presumably because DNA origami arrival at the mica surface is diffusion-limited. Over short length scales up to 1 µm, lattice order is independent of the DNA origami concentration. However, at larger length scales of a few microns, a DNA origami concentration of 10 nM yields slightly better order than lower and higher concentrations. Therefore, 10 nM can be considered the optimum concentration for the rapid assembly of highly ordered DNA origami lattices. These results thus represent an important step toward the industrial-scale application of DNA origami-based lithography masks.}}, author = {{Pothineni, Bhanu Kiran and Barner, Jörg and Grundmeier, Guido and Contreras, David and Castro, Mario and Keller, Adrian}}, issn = {{2731-9229}}, journal = {{Discover Nano}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Rapid assembly of highly ordered DNA origami lattices at mica surfaces}}}, doi = {{10.1186/s11671-025-04254-2}}, volume = {{20}}, year = {{2025}}, } @inbook{53445, author = {{Hälterlein, Jens}}, booktitle = {{The Realities of Autonomous Weapons}}, editor = {{Bächle, Thomas Christian and Bareis, Jascha}}, pages = {{187--204}}, publisher = {{Bristol University Press}}, title = {{{Governing Autonomies: Imagining Responsible Artificial Intelligence in the “Future Combat Air System” European Armament Project}}}, year = {{2025}}, } @unpublished{59860, abstract = {{A three-dimensional quasi-Fuchsian Lorentzian manifold $M$ is a globally hyperbolic spacetime diffeomorphic to $\Sigma\times (-1,1)$ for a closed orientable surface $\Sigma$ of genus $\geq 2$. It is the quotient $M=\Gamma\backslash \Omega_\Gamma$ of an open set $\Omega_\Gamma\subset {\rm AdS}_3$ by a discrete group $\Gamma$ of isometries of ${\rm AdS}_3$ which is a particular example of an Anosov representation of $\pi_1(\Sigma)$. We first show that the spacelike geodesic flow of $M$ is Axiom A, has a discrete Ruelle resonance spectrum with associated (co-)resonant states, and that the Poincar\'e series for $\Gamma$ extend meromorphically to $\mathbb{C}$. This is then used to prove that there is a natural notion of resolvent of the pseudo-Riemannian Laplacian $\Box$ of $M$, which is meromorphic on $\mathbb{C}$ with poles of finite rank, defining a notion of quantum resonances and quantum resonant states related to the Ruelle resonances and (co-)resonant states by a quantum-classical correspondence. This initiates the spectral study of convex co-compact pseudo-Riemannian locally symmetric spaces.}}, author = {{Delarue, Benjamin and Guillarmou, Colin and Monclair, Daniel}}, booktitle = {{arXiv:2504.21762}}, title = {{{Spectra of Lorentzian quasi-Fuchsian manifolds}}}, year = {{2025}}, } @inbook{59867, author = {{Dübbert, Alexander}}, booktitle = {{Transdisziplinäre Räume in den Kulturwissenschaften}}, editor = {{Kornbach, Alina and Lammer, Christina and Magdeburg, Lena}}, pages = {{403--429}}, publisher = {{Herder}}, title = {{{Muster in der Benamung 'nachhaltiger' Lebensmittelmarkennamen - Kulturbezogene Deutungen von Namen am stationären Verkaufsort als Raum}}}, volume = {{3}}, year = {{2025}}, } @book{59862, editor = {{Kornbach, Alina and Lammer, Christina and Magdeburg, Lena Maria}}, publisher = {{Herder Verlag}}, title = {{{Transdisziplinäre Räume in den Kulturwissenschaften}}}, volume = {{3}}, year = {{2025}}, } @article{59870, abstract = {{ One of the most important strategies for reducing CO 2 emissions in the mobility sector is lightweight construction. In particular, the car body offers several opportunities for weight reduction. Multi-material designs are increasingly being applied to select the most suitable material for the respective load and ultimately achieve synergy effects. For example, aluminium castings are used at the nodes of a spaceframe body. Subsequently, these are joined with profiles to form the bodyshell. To join different materials mechanical joining techniques, such as semi-tubular self-piercing riveting, are deployed. According to the current state of the art, cracks occur in the aluminium castings during the mechanical joining process as a result of the high degree of deformation. Although the aluminium casting alloys of the AlSi-system exhibit low ductility, these alloys reveal excellent castability. In particular, the ability to cast thin structural parts is enabled by the low liquidus point of the near eutectic aluminium casting alloys. This study addresses the mechanical joining properties of the near eutectic aluminium casting alloy AlSi12, depending on different microstructures. These are achieved by annealing processes and modifying agents. Through an adapted heat treatment, the previously lamellar morphology can be transformed into a globular morphology, which leads to increased ductility and prevents the formation of cracks during the self-piercing riveting (SPR). The joinability is investigated using different die geometries, whereas the joint formation is analysed regarding crack initiation. To evaluate the increased ductility, microstructural and mechanical tests are performed and finally, a microstructure-joinability correlation is established.}}, author = {{Neuser, M. and Holtkamp, P.-K. and Hoyer, K.-P. and Kappe, F. and Yildiz, S. and Bobbert, M. and Meschut, G. and Schaper, M.}}, issn = {{1464-4207}}, journal = {{Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications}}, number = {{4}}, pages = {{801--815}}, publisher = {{SAGE Publications}}, title = {{{Mechanical properties and joinability of the near-eutectic aluminium casting alloy AlSi12}}}, doi = {{10.1177/14644207251319922}}, volume = {{239}}, year = {{2025}}, } @article{56482, abstract = {{Dieser Beitrag untersucht Liquiditätseffekte einer Vermögensteuer bei Mietwohnimmobilien. Mithilfe von Daten einer Immobilien-Kapitalgesellschaft werden die Wirkungen einer Vermögensteuer auf die Cashflows aus der Vermietung von Wohnimmobilien simuliert. Der Detailgrad der Daten ermöglicht dabei Analysen auf Jahres-, Regional- und Baujahresebene. Ein Abgleich mit weiteren Immobiliendaten untermauert die Vergleichbarkeit und Aussagekraft der Analysen. Die Ergebnisse der Simulation zeigen, dass die Einführung einer Vermögensteuer den Cashflow aus dem Mietgeschäft erheblich reduzieren und zu Liquiditätsproblemen führen kann. Im Durchschnitt über alle Beobachtungen ergibt sich bei einem Vermögensteuersatz i.H.v. 2 % ein negativer Cashflow nach Berücksichtigung aller Kosten. Generell bedeutet dies, dass wachstumsorientierte Immobilien durch eine Vermögensteuer liquiditätsmäßig stärker belastet werden als mietrenditeorientierte Immobilien. Insbesondere in Großstädten mit hohen Immobilienwerten, aber verhältnismäßig geringen Mieten, können die Liquiditätseffekte mehr als dreimal so hoch ausfallen wie in ländlichen bzw. industriell-geprägten Regionen, was zu einem relativen Attraktivitätsverlust führen kann. Durch die Entkopplung der Vermögensteuer von den Mieterträgen zeichnet sich eine starke Abhängigkeit der Steuerlast von aktuellen Marktentwicklungen und dem Zinsumfeld ab, was eine zusätzliche Unsicherheit für Investoren darstellt. Diese steuerliche Unsicherheit könnte sich potentiell auf die Investitionsbereitschaft auswirken und sollte daher in politischen Diskussionen über die Wiedereinführung einer Vermögensteuer berücksichtigt werden.}}, author = {{Maiterth, Ralf and Piper, Yuri and Sureth-Sloane, Caren}}, journal = {{Steuer und Wirtschaft}}, number = {{1}}, pages = {{67 -- 81}}, title = {{{Liquiditätseffekte einer Vermögensteuer bei Mietwohnimmobilien}}}, volume = {{102}}, year = {{2025}}, } @inbook{59875, author = {{Pätz, Ricarda}}, booktitle = {{Data - Culture - Society: Kulturwissenschaftliche Perspektiven auf Data Society als gesellschaftliche Transformation}}, editor = {{Uppenkamp, Vera and Vösgen-Nordloh, Meike}}, isbn = {{978-3-534-64165-9 }}, pages = {{155--176}}, publisher = {{Herder}}, title = {{{#womeninstem – Eine gendermediale Betrachtung von MINTfluencerinnen und Wissenschaftskommunikation auf Instagram}}}, year = {{2025}}, } @inproceedings{59876, abstract = {{Abstract. Clinching is a conventional mechanical joining process used in Multi-Material Design in the automotive sector. To receive the desired geometrical characteristics in clinch joints, correct process design is required. To reduce the cost of finding fitting process parameters, numerical simulation of the joining process can be used to predict the geometrical characteristics, such as interlock, instead of an experimental approach. These numerical simulation models consume computational resources and time. In this paper machine learning is used to find correlations between features of the joining process and geometrical characteristics in the joint. This serves the purpose of predicting the joint’s target values more resource-efficiently. Modelling with machine learning requires a structured dataset with sufficient parameter variation. To create this data base the following procedure was used. For joining partners, a HC340LA steel alloy with 2 mm material thickness was used punch-sided and an EN AW 5182 aluminum alloy with 1.5 mm thickness was used die-sided. For this combination a suitable tool combination and punch distance was experimentally identified. A finite element model was created to reproduce the joining process. For the modelling of the material of both joining partners flow curves determined by Vallaster et al. were used [1]. The punch and die were recreated digitally by opto-electronic measurements and transformed into a mesh suitable for numerical simulation. The model was validated by comparing process values like the maximum force applied by the punch and geometrical values in the joints cross section. Additionally, a process window for suitable punch distances was experimentally determined. Afterwards a variation of 70 different process designs was conducted with variants inside and outside the process window. The results were used for training, testing and validating various machine learning models. All models competed against each other to find the must suited model to predict every geometric value. To ensure good model performances and prevent the model from overfitting, a tenfold cross validation was used for validating the models. Analysis of the results gives the following key findings: i) Good predictability is reached for the interlock and sheet thickness of the joint. ii) Prediction neck thickness showed low error values, but also low correlation. iii)The prediction of those key values for evaluating clinch joint characteristics by machine learning models positively impacts needed resources in comparison to numerical models.}}, author = {{Ludwig, Jean-Patrick and Tsi-Nda Lontsi, Seraphin and Neumann, Jonas and Kappis, Lukas and Scharr, Christian and Flügge, Wilko and Merklein, Marion and Meschut, Gerson}}, booktitle = {{Materials Research Proceedings}}, issn = {{2474-395X}}, publisher = {{Materials Research Forum LLC}}, title = {{{Data driven prognosis of clinch joints in multi-material design}}}, doi = {{10.21741/9781644903599-157}}, volume = {{54}}, year = {{2025}}, } @inproceedings{59833, author = {{Wüppelmann, Dennis and Yigitbas, Enes}}, booktitle = {{Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering (EASE 2025)}}, publisher = {{ACM}}, title = {{{SecCityVR: Visualization and Collaborative Exploration of Software Vulnerabilities in Virtual Reality}}}, year = {{2025}}, } @inproceedings{59879, author = {{Wüppelmann, Dennis and Krings, Sarah Claudia and Yigitbas, Enes}}, booktitle = {{Proceedings of the 11th International Conference on Virtual Reality (ICVR 2025)}}, publisher = {{IEEE}}, title = {{{SMART-EAT: Towards Sustainable Nutrition Education and Decision Support using XR}}}, year = {{2025}}, } @misc{59884, abstract = {{This release contains two new major features and several smaller improvements: Extension of mei-friend's facilities for editorial mark-up through a re-worked annotation panel (now renamed to enrichment panel). Thanks to @annplaksin! See documentation at https://mei-friend.github.io/docs/advanced/markup/. Redevelopment of git integration for more stable and sustainable collaborative editing. For more information, please see CHANGELOG.md}}, author = {{Goebl, Werner and Weigl, David M. and Plaksin, Anna Viktoria Katrin}}, publisher = {{Zenodo}}, title = {{{mei-friend: An Interactive Web-based Editor for Digital Music Encodings (1.2.0)}}}, doi = {{10.5281/ZENODO.14679883}}, year = {{2025}}, } @article{59889, author = {{Bodynek, Joanna}}, journal = {{Forschung Sprache}}, number = {{1}}, pages = {{32--52}}, title = {{{Digitale Förderung von Schriftspracherwerbsstörungen: Ein systematisches Review}}}, year = {{2025}}, } @inbook{59893, author = {{Pilz, Franziska}}, booktitle = {{Theorie und Empirie - ein unzertrennliches Paar? Tagung der Early Career Researcher der Konferenz für Geschichtsdidaktik in der Universität Bielefeld 2023}}, editor = {{Ramb, Judit and McLean, Philipp and Riedel, Peter and van Norden, Jörg}}, isbn = {{978-3-8471-1797-1 }}, pages = {{163--178}}, publisher = {{V&R unipress}}, title = {{{Krisen historischen Lernens. Zum historischen Lernpotenzial sprachlich-interaktionaler Krisen im Geschichtsunterricht.}}}, doi = {{10.14220/9783737017978}}, year = {{2025}}, } @inbook{59905, abstract = {{Um die international und national beschlossenen Klimaziele zu erreichen, müssen die verkehrsbedingten Emissionen in der Bundesrepublik Deutschland drastisch reduziert werden. Hierzu bedarf es einer umfassenden Mobilitätswende, welche die Etablierung emissionsärmerer und effizienterer Mobilitätsformen umfasst. Ein Lösungsansatz können on-demand Dienste bieten, die den öffentlichen Personennahverkehr bedarfsgerecht gestalten und so dessen Akzeptanz steigern. Zahlreiche bisher eingeführte on-demand Dienste mussten jedoch nach Beendigung des Projekt- bzw. Förderzeitraums wieder eingestellt werden. Maßgebliche Herausforderungen waren die Integration der Dienste in die bestehenden ÖPNV- und Mobilitäts-Strukturen sowie teilweise damit einhergehende ökonomische Aspekte. In diesem Beitrag wird eine Methode vorgestellt, welche neben der Einführung neuartiger Mobilitätsdienste auch die Entwicklung eines nachhaltigen Mobilitäts-Ökosystems anstrebt. Der Fokus liegt dabei auf ländlich geprägten Regionen und ihren besonderen Herausforderungen im Bereich des öffentlichen Nahverkehrs. Die Methode beschreibt ein fünf-phasiges Handlungsschema, in welchem Potenziale bestehender Strukturen genutzt, Mobilitäts-Stakeholder eingebunden und verhärtete Mobilitätsverhalten allmählich positiv verändert werden. Anhand der Initiative Neue Mobilität Paderborn wird aufgezeigt, dass mithilfe der Methode erste Schritte hin zu einem Mobilitäts-Ökosystem absolviert werden können. Darüber hinaus werden Einführungsszenarien für die neuartige, sich noch in der Entwicklung befindliche Mobilitätslösung NeMo.bil in einer Beispielregion erarbeitet.}}, author = {{Behm, Jonathan and Ostermann, Moritz and Bomm, Julian and Rahmann, Sören and Tröster, Thomas and Marten, Thorsten}}, booktitle = {{New Players in Mobility}}, isbn = {{9783658464844}}, location = {{Duisburg}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Einführungsstrategien nachhaltiger on-demand Mobilitätkonzepte im öffentlichen Nahverkehr}}}, doi = {{10.1007/978-3-658-46485-1_36}}, year = {{2025}}, } @article{59906, abstract = {{The cationic molybdenum alkylidyne N-heterocyclic carbene (NHC) complex [Mo(C-p-OMeC6H4)(OCMe(CF3)2)2 (IMes)][B(ArF4] (IMes = 1,3-dimesitylimidazol-2-ylidene) was selectively immobilized inside the pores of ordered mesoporous silica (OMS) with pore diameters of 66, 56, and 28 Å and used in the ring-expansion metathesis polymerization (REMP) of cyclic olefins to yield cyclic polymers. A strong confinement effect was observed for cis-cyclooctene (cCOE), 1,5-cyclooctadiene (COD), (+)-2,3-endo,exo-dicarbomethoxynorborn-5-ene ((+)-DCMNBE), and 2-methyl-2-phenylcycloprop-1-ene (MPCP), allowing for the synthesis of low-molecular-weight cyclic polymers even at a high monomer concentration. The exclusive formation of cyclic polymers was demonstrated by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry. Confinement also influences stereoselectivity, resulting in a pronounced increase in Z-selectivity and in an increased cis-syndiospecificity.}}, author = {{Probst, Patrick and Lindemann, Moritz and Bruckner, Johanna R. and Atwi, Boshra and Wang, Dongren and Fischer, Felix Richard and Högler, Marc and Bauer, Matthias and Hansen, Niels and Dyballa, Michael and Buchmeiser, Michael R.}}, issn = {{0002-7863}}, journal = {{Journal of the American Chemical Society}}, number = {{10}}, pages = {{8741--8750}}, publisher = {{American Chemical Society (ACS)}}, title = {{{Ring-Expansion Metathesis Polymerization under Confinement}}}, doi = {{10.1021/jacs.4c18171}}, volume = {{147}}, year = {{2025}}, } @article{45291, author = {{Cramer, Katja and Webersen, Yvonne}}, journal = {{MNU-Journal}}, pages = {{237--243}}, title = {{{"Heute wissen wir, wie das Universum aussieht!" ...oder? Eine digitale Lernumgebung zur Vorläufigkeit von naturwissenschaftlichem Wissen am Beispiel der Geschichte der Astronomie}}}, volume = {{3}}, year = {{2025}}, } @article{59901, author = {{Keksel, Ewald and Kluge, Sebastian and Schleier, Domenik and Höner, Martin and Karakaya, Yasin and Bierkandt, Thomas and Köhler, Markus and Kasper, Tina}}, issn = {{0010-2180}}, journal = {{Combustion and Flame}}, publisher = {{Elsevier BV}}, title = {{{Sensitizing effect of acetylene and 1,3-butadiene on toluene oxidation in laminar flames}}}, doi = {{10.1016/j.combustflame.2025.113978}}, volume = {{274}}, year = {{2025}}, } @article{59756, abstract = {{A current concern in the field of Artificial Intelligence (AI) is to ensure the trustworthiness of AI systems. The development of explainability methods is one prominent way to address this, which has often resulted in the assumption that the use of explainability will lead to an increase in the trust of users and wider society. However, the dynamics between explainability and trust are not well established and empirical investigations of their relation remain mixed or inconclusive. In this paper we provide a detailed description of the concepts of user trust and distrust in AI and their relation to appropriate reliance. For that we draw from the fields of machine learning, human–computer interaction, and the social sciences. Based on these insights, we have created a focused study of empirical literature of existing empirical studies that investigate the effects of AI systems and XAI methods on user (dis)trust, in order to substantiate our conceptualization of trust, distrust, and reliance. With respect to our conceptual understanding we identify gaps in existing empirical work. With clarifying the concepts and summarizing the empirical studies, we aim to provide researchers, who examine user trust in AI, with an improved starting point for developing user studies to measure and evaluate the user’s attitude towards and reliance on AI systems.}}, author = {{Visser, Roel and Peters, Tobias Martin and Scharlau, Ingrid and Hammer, Barbara}}, issn = {{1389-0417}}, journal = {{Cognitive Systems Research}}, keywords = {{XAI, Appropriate trust, Distrust, Reliance, Human-centric evaluation, Trustworthy AI}}, publisher = {{Elsevier BV}}, title = {{{Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation}}}, doi = {{10.1016/j.cogsys.2025.101357}}, year = {{2025}}, }