@book{54432, editor = {{Leineweber, Jonas and Seng, Eva- Maria}}, isbn = {{978-3-8376-6126-2}}, publisher = {{transcript}}, title = {{{Immaterielles Kulturerbe und Regionale Identität. Schützenwesen in Nordwestdeutschland}}}, year = {{2025}}, } @article{58495, abstract = {{ To reduce CO2 emissions, the industry, particularly in the mobility sector, focuses on lightweight vehicles with multi-material structures. As thermal joining processes are reaching their limits, mechanical techniques such as self-piercing riveting are being used. One innovative solution is the versatile self-piercing riveting process (V-SPR), which combines different material combinations with a multi-range rivet. 1 The joining process is divided into the piercing process and the forming process of the rivet head to the respective sheet thickness. The rivet shaft requires sufficient strength to punch through the punch-sided sheet, and sufficient ductility of the rivet head is required to form onto the punch-sided sheet. To achieve a combination of these requirements, local inductive heat treatment strategies are used for the rivet. To ensure reproducible rivet hardening, a specialised device has been developed for precise rivet positioning in the induction coil and the subsequent quenching process. The heat treatment differs in terms of hardening times and temperatures. In addition, the heat treatment is combined with a subsequent tempering process. The study aims to determine the resulting hardness distributions and microstructures of the rivet and to investigate the influence of different heat treatment strategies on joint formation and load-bearing capacities. The results show that a graded hardening profile has a positive effect on the spreading behaviour of the rivet foot and the forming behaviour of the rivet head. Furthermore, the load-bearing behaviour of the joints is increased. }}, author = {{Holtkamp, Pia Katharina and Kappe, Fabian and Probst, Paula and Bobbert, Mathias and Meschut, Gerson}}, issn = {{1464-4207}}, journal = {{Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications}}, publisher = {{SAGE Publications}}, title = {{{Investigation of local heat treatment strategies for a multi-range capable rivet and the influence on joint formation and load-bearing capacity}}}, doi = {{10.1177/14644207241307508}}, year = {{2025}}, } @inbook{58518, author = {{Hartmann, Alexandra}}, booktitle = {{Political Education and American Studies}}, editor = {{Franke, Astrid and Küchler, Uwe and Luther, Katharina}}, isbn = {{978-3-8253-9615-2}}, pages = {{213--218}}, publisher = {{Winter}}, title = {{{(Re)Polizicizing the Teen Genre: On the (Queer) Utopian Potentials of Netflix's Sex Education}}}, year = {{2025}}, } @article{58193, abstract = {{Zinc tin oxide (ZTO) is investigated as a photoluminescent sensor for oxygen (O2); chemisorbed oxygen quenches the luminescence intensity. At the same time, ZTO is also studied as a resistive sensor; being an n‐type semiconductor, its electrical conductance decreases by adsorption of oxygen. Both phenomena can be exploited for quantitative O2 sensing. The respective sensor responses can be described by the same modified Stern‐Volmer model that distinguishes between accessible and non‐accessible luminescence centers or charge carriers, respectively. The impact of the temperature is studied in the range from room temperature up to 150 °C.}}, author = {{Kothe, Linda and Klippstein, Josefin and Kloß, Marvin and Wengenroth, Marc and Poeplau, Michael and Ester, Stephan and Tiemann, Michael}}, issn = {{1439-4235}}, journal = {{ChemPhysChem}}, pages = {{e202400984}}, publisher = {{Wiley}}, title = {{{Oxygen‐dependent Photoluminescence and Electrical Conductance of Zinc Tin Oxide (ZTO): A Modified Stern‐Volmer Description}}}, doi = {{10.1002/cphc.202400984}}, volume = {{26}}, year = {{2025}}, } @article{59344, abstract = {{Abstract For a finite graph, we establish natural isomorphisms between eigenspaces of a Laplace operator acting on functions on the edges and eigenspaces of a transfer operator acting on functions on one-sided infinite non-backtracking paths. Interpreting the transfer operator as a classical dynamical system and the Laplace operator as its quantization, this result can be viewed as a quantum-classical correspondence. In contrast to previously established quantum-classical correspondences for the vertex Laplacian which exclude certain exceptional spectral parameters, our correspondence is valid for all parameters. This allows us to relate certain spectral quantities to topological properties of the graph such as the cyclomatic number and the 2-colorability. The quantum-classical correspondence for the edge Laplacian is induced by an edge Poisson transform on the universal covering of the graph which is a tree of bounded degree. In the special case of regular trees, we relate both the vertex and the edge Poisson transform to the representation theory of the automorphism group of the tree and study associated operator valued Hecke algebras.}}, author = {{Arends, Christian and Frahm, Jan and Hilgert, Joachim}}, issn = {{0926-2601}}, journal = {{Potential Analysis}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Edge Laplacians and Edge Poisson Transforms for Graphs}}}, doi = {{10.1007/s11118-024-10184-y}}, year = {{2025}}, } @inbook{59421, author = {{Parikka, Johannes and Pothineni, Bhanu Kiran and Järvinen, Heini and Tapio, Kosti and Keller, Adrian and Toppari, J. Jussi}}, booktitle = {{Methods in Molecular Biology}}, isbn = {{9781071643938}}, issn = {{1064-3745}}, publisher = {{Springer US}}, title = {{{Surface-Assisted Assembly of DNA Origami Lattices on Silicon Wafers}}}, doi = {{10.1007/978-1-0716-4394-5_7}}, year = {{2025}}, } @article{59510, abstract = {{The use of organo-catalysis in continuous-flow reactor systems is gaining attention in medicinal chemistry due to its cost-effectiveness and reduced chemical waste. In this study, bioactive curcumin (CUM) derivatives were synthesized in a continuously operated microfluidic reactor (MFR), using piperidine-based polymeric networks as catalysts. Piperidine methacrylate and piperidine acrylate were synthesized and subsequently copolymerized with complementary monomers (MMA or DMAA) and crosslinkers (EGDMA or MBAM) via photopolymerization, yielding different polymeric networks. Initially, batch reactions were optimized for the organo-catalytic Knoevenagel condensation between CUM and 4-nitrobenzaldehyde, under various conditions, in the presence of polymer networks. Conversion was assessed using offline 1H NMR spectroscopy, revealing an increase in conversion with enhanced swelling properties of the polymer networks, which facilitated greater accessibility of catalytic sites. In continuous-flow MFR experiments, optimized polymer gel dots exhibited superior catalytic performance, achieving a conversion of up to 72%, compared to other compositions. This improvement was attributed to the enhanced swelling in the reaction mixture (DMSO/methanol, 7:3 v/v) at 40 °C over 72 h. Furthermore, the MFR system enabled the efficient synthesis of a series of CUM derivatives, demonstrating significantly higher conversion rates than traditional batch reactions. Notably, while batch reactions required 90% catalyst loading in the gel, the MFR system achieved a comparable or superior performance with only 50% catalyst, resulting in a higher turnover number. These findings underscore the advantages of continuous-flow organo-catalysis in enhancing catalytic efficiency and sustainability in organic synthesis.}}, author = {{Killi, Naresh and Rumpke, Katja and Kuckling, Dirk}}, issn = {{2310-2861}}, journal = {{Gels}}, keywords = {{flow chemistry, heterogeneous catalysis, sustainable synthesis, organo-catalysis, polymeric gel dots}}, number = {{4}}, publisher = {{MDPI AG}}, title = {{{Synthesis of Curcumin Derivatives via Knoevenagel Reaction Within a Continuously Driven Microfluidic Reactor Using Polymeric Networks Containing Piperidine as a Catalyst}}}, doi = {{10.3390/gels11040278}}, volume = {{11}}, year = {{2025}}, } @article{59511, abstract = {{AbstractTo minimize or avoid the use of antibiotics, antimicrobial polymers have emerged as a promising option to fight biomaterial‐associated infections, e.g., on titanium‐based implants. However, the challenge is to develop active polymers that exhibit an antimicrobial effect and are compatible with human cells. Different studies aiming for biocidal polymers active in soluble mode, focused on the ratio of cationic to hydrophobic groups, while only marginal knowledge is available for immobilized components. Here a strong hydrophilic electrolyte 4‐vinylbenzyltrimethylammonium chloride (TMA) is chosen as the cationic component. The block composition of the polycationic segment is modified with styrene (Sty) regarding the amphiphilic balance. To adsorb such polymers onto titanium surfaces they are equipped with a polyphosphonic acid anchor block by sequential reversible‐addition‐fragmentation chain‐transfer polymerization (RAFT) polymerization. The polymer composition affected the wetting behavior of adsorbed coatings with water contact angles ranging from 17° to 72°, while zetapotential measurements confirmed high extent of positive charges for all adsorbed polymer coatings. The fundamentally modified block composition resulted in significantly improved cytocompatibility. Antimicrobial efficacy in early bacterial adhesion is still retained from slightly antiadhesive coatings to combined antiadhesive/biocidal activity depending on Sty/TMA ratio in random polymers while a block copolymer revealed lowest antimicrobial effect.}}, author = {{Wolf‐Brandstetter, Cornelia and Methling, Rafael and Kuckling, Dirk}}, issn = {{1438-7492}}, journal = {{Macromolecular Materials and Engineering}}, keywords = {{antiadhesive surfaces, antimicrobial polymers, grafting to, polymerbrushes}}, publisher = {{Wiley}}, title = {{{Adsorbable and Antimicrobial Amphiphilic Block Copolymers with Enhanced Biocompatibility}}}, doi = {{10.1002/mame.202500078}}, year = {{2025}}, } @phdthesis{59608, abstract = {{Das Fachdidaktische Wissen (FDW) zählt zu den zentralen Elementen des Professionswissens (angehender) Lehrkräfte und seine Relevanz ist sowohl theoretisch angenommen als auch empirisch belegt. In der fachdidaktischen Forschung liegt daher bereits seit längerem ein Fokus auf der Analyse des FDW, wobei mittlerweile vor allem Auswirkungen auf die Handlungsqualität und auf Lernergebnisse in den Blick genommen werden. Nach wie vor stellt aber auch die empirisch fundierte inhaltliche Beschreibung des FDW sowie der Transfer entwickelter FDW-Testverfahren auf Basis von Testinstrumenten mit offenem Antwortformat in die Ausbildungspraxis ein Forschungsdesiderat dar. In diesem Dissertationsprojekt werden daher auf Basis eines Datensatzes von 846 Bearbeitungen eines FDW-Testinstruments im Fach Physik (1) projektübergreifende FDW-Kompetenzniveaus auf Basis von Item-Response-Modellierungen exploriert, (2) nicht-hierarchische FDW-Kompetenzprofile auf Basis von (probabilistischen) Cluster- und Textanalysen beschrieben und (3) ein vollständig automatisiertes FDW-Assessment-System auf Basis von Machine Learning entwickelt. Dabei wurden insbesondere kognitive Anforderungskategorien als Subskalen des verwendeten Testinstruments betrachtet. Das Assessment-System wurde dabei auf Basis dieser und weiterer Subskalen sowie anhand der Zuordnung von Proband:innen zu den Kompetenzprofilen evaluiert und zeigte sowohl relativ zur Interrater-Übereinstimmung als auch absolut betrachtet hohe Performanzwerte.}}, author = {{Zeller, Jannis}}, publisher = {{Universität Paderborn}}, title = {{{Strukturanalysen des physikdidaktischen Wissens mithilfe von Machine Learning}}}, doi = {{10.17619/UNIPB/1-2238}}, 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{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}}, } @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}}, } @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}}, } @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}}, } @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{59842, author = {{Kothe, Linda and Kloß, Marvin and Wagner, Tobias and Wengenroth, Marc and Poeplau, Michael and Ester, Stephan and Tiemann, Michael}}, issn = {{1932-7447}}, journal = {{The Journal of Physical Chemistry C}}, number = {{19}}, pages = {{9239--9245}}, publisher = {{American Chemical Society (ACS)}}, title = {{{Temperature Studies of Zinc Tin Oxide Photoluminescence for Optical O2 Sensing}}}, doi = {{10.1021/acs.jpcc.5c01678}}, volume = {{129}}, year = {{2025}}, } @article{59438, abstract = {{Abstract It has been established that, in Bayesian tasks, performance and typical errors in reading information from filled visualizations depend both on the type of the provided visualization and information format. However, apart from reading visualizations, students should also be able to create visualizations on their own and successfully use them as heuristic tools in modeling tasks. In this paper, we first want to broaden the view on Bayesian reasoning to probabilistic tasks with two binary events in general and embed the whole process of solving these tasks using probabilistic visualizations in a modified modeling framework. Thereby, it becomes apparent that most of the steps remained untouched by existing research. Second, in the present empirical study, we focused on one part of the largely unexplored creation process and examined entering statistical information into empty visualizations as heuristic tools. N = 172 participants had to enter conditional and joint probabilities or the corresponding frequencies into empty visualizations in a paper-and-pencil test. We analyze (a) students’ performance when entering information in visualizations and (b) typical errors, both dependent on the information format (probabilities vs. natural frequencies), which empty visualization structure (2⨯2 table, double tree, net diagram) was provided, and type of information (conditional vs. joint information). The well-known positive effect of natural frequencies on participants’ performance was evident when entering conditional information into 2⨯2 tables and net diagrams. However, with respect to joint information, no superior effect of frequencies was observed. Furthermore, the theoretical implementation of our research in a modeling cycle allows us to identify desiderata for future research.}}, author = {{Rößner, Michael and Binder, Karin and Geier, Corbinian and Krauss, Stefan}}, issn = {{0013-1954}}, journal = {{Educational Studies in Mathematics}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Students’ performance and typical errors in filling empty probabilistic visualizations with probabilities or frequencies}}}, doi = {{10.1007/s10649-024-10372-y}}, year = {{2025}}, } @article{59992, abstract = {{The immobilization of DNA origami nanostructures on solid surfaces is an important prerequisite for their application in many biosensors. So far, DNA origami immobilization has been investigated in detail only...}}, author = {{Xu, Xiaodan and Golebiowska, Sandra Alicja and de los Arcos, Teresa and Grundmeier, Guido and Keller, Adrian}}, issn = {{2755-3701}}, journal = {{RSC Applied Interfaces}}, publisher = {{Royal Society of Chemistry (RSC)}}, title = {{{DNA origami adsorption at single-crystalline TiO2 surfaces}}}, doi = {{10.1039/d5lf00109a}}, year = {{2025}}, } @article{60031, abstract = {{Reputation systems to rate companies’ performances remain largely unexplored in research and are scarcely used in business-to-business (B2B) practice. Such systems are essential for businesses seeking trustworthy partners, as they help reduce information asymmetry, lower buyers' transaction risks, and allow high-quality service providers to justify premium pricing. Unlike traditional review-based systems in the business-to-consumer (B2C) context, we propose a B2B reputation mechanism in which buyers commit to a rating payment before a transaction. Once the buyer finalizes the rating, this payment is executed and recorded on a blockchain as an immutable, secure ledger. Our system mimics natural trust-building mechanisms with ratings that are (1) monetary-based, (2) stake-based, (3) non-aggregated, (4) involve counter-ratings, (5) selectively sellable, (6) individually comparable, (7) stored on a blockchain, (8) and monitored by a third instance. This system provides a novel approach to fostering trust in B2B transactions by reducing information asymmetry and transaction risk. We illustrate the mechanism’s application in the consulting sector. Our analysis has identified 23 institutional trust and distrust dimensions that promote establishing institutional trust through the proposed mechanism. Qualitative interviews suggest that, while complex and challenging to apply, this mechanism can foster trust in B2B transactions. Given the low maturity in the application domain—rating professional business services with business reputation systems—and solution domain—using monetary stakes for ratings, this system stands as a potential invention.}}, author = {{Hemmrich, Simon and Nissen, Volker and Beverugen, Daniel and Pauls, Josias Daniel Miño}}, issn = {{1617-9846}}, journal = {{Information Systems and e-Business Management}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Blockchain-based reputation systems for business-to-business services: designing a reputation mechanism to reduce information asymmetry in professional consulting}}}, doi = {{10.1007/s10257-025-00702-9}}, year = {{2025}}, }