@inbook{33738, author = {{Zahera, Hamada Mohamed Abdelsamee and Heindorf, Stefan and Balke, Stefan and Haupt, Jonas and Voigt, Martin and Walter, Carolin and Witter, Fabian and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{The Semantic Web: ESWC 2022 Satellite Events}}, isbn = {{9783031116087}}, issn = {{0302-9743}}, publisher = {{Springer International Publishing}}, title = {{{Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings}}}, doi = {{10.1007/978-3-031-11609-4_9}}, year = {{2022}}, } @inproceedings{33739, abstract = {{At least 5% of questions submitted to search engines ask about cause-effect relationships in some way. To support the development of tailored approaches that can answer such questions, we construct Webis-CausalQA-22, a benchmark corpus of 1.1 million causal questions with answers. We distinguish different types of causal questions using a novel typology derived from a data-driven, manual analysis of questions from ten large question answering (QA) datasets. Using high-precision lexical rules, we extract causal questions of each type from these datasets to create our corpus. As an initial baseline, the state-of-the-art QA model UnifiedQA achieves a ROUGE-L F1 score of 0.48 on our new benchmark.}}, author = {{Bondarenko, Alexander and Wolska, Magdalena and Heindorf, Stefan and Blübaum, Lukas and Ngonga Ngomo, Axel-Cyrille and Stein, Benno and Braslavski, Pavel and Hagen, Matthias and Potthast, Martin}}, booktitle = {{Proceedings of the 29th International Conference on Computational Linguistics}}, pages = {{3296–3308}}, publisher = {{International Committee on Computational Linguistics}}, title = {{{CausalQA: A Benchmark for Causal Question Answering}}}, year = {{2022}}, } @inbook{46151, author = {{Weber, Tassja}}, booktitle = {{Vermitteln – Verbinden – Verstehen}}, issn = {{2566-9281}}, publisher = {{Göttingen University Press}}, title = {{{Lernerkorpora als Ressource in der quantitativen DaF-Forschung}}}, doi = {{10.17875/gup2021-1843}}, year = {{2022}}, } @inproceedings{46193, author = {{Karp, Martin and Podobas, Artur and Kenter, Tobias and Jansson, Niclas and Plessl, Christian and Schlatter, Philipp and Markidis, Stefano}}, booktitle = {{International Conference on High Performance Computing in Asia-Pacific Region}}, publisher = {{ACM}}, title = {{{A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges}}}, doi = {{10.1145/3492805.3492808}}, year = {{2022}}, } @article{33226, abstract = {{A parallel hybrid quantum-classical algorithm for the solution of the quantum-chemical ground-state energy problem on gate-based quantum computers is presented. This approach is based on the reduced density-matrix functional theory (RDMFT) formulation of the electronic structure problem. For that purpose, the density-matrix functional of the full system is decomposed into an indirectly coupled sum of density-matrix functionals for all its subsystems using the adaptive cluster approximation to RDMFT. The approximations involved in the decomposition and the adaptive cluster approximation itself can be systematically converged to the exact result. The solutions for the density-matrix functionals of the effective subsystems involves a constrained minimization over many-particle states that are approximated by parametrized trial states on the quantum computer similarly to the variational quantum eigensolver. The independence of the density-matrix functionals of the effective subsystems introduces a new level of parallelization and allows for the computational treatment of much larger molecules on a quantum computer with a given qubit count. In addition, for the proposed algorithm techniques are presented to reduce the qubit count, the number of quantum programs, as well as its depth. The evaluation of a density-matrix functional as the essential part of our approach is demonstrated for Hubbard-like systems on IBM quantum computers based on superconducting transmon qubits.}}, author = {{Schade, Robert and Bauer, Carsten and Tamoev, Konstantin and Mazur, Lukas and Plessl, Christian and Kühne, Thomas}}, journal = {{Phys. Rev. Research}}, pages = {{033160}}, publisher = {{American Physical Society}}, title = {{{Parallel quantum chemistry on noisy intermediate-scale quantum computers}}}, doi = {{10.1103/PhysRevResearch.4.033160}}, volume = {{4}}, year = {{2022}}, } @article{33684, author = {{Schade, Robert and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Schütt, Ole and Lazzaro, Alfio and Pabst, Hans and Mohr, Stephan and Hutter, Jürg and Kühne, Thomas and Plessl, Christian}}, issn = {{0167-8191}}, journal = {{Parallel Computing}}, keywords = {{Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Hardware and Architecture, Theoretical Computer Science, Software}}, publisher = {{Elsevier BV}}, title = {{{Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms}}}, doi = {{10.1016/j.parco.2022.102920}}, volume = {{111}}, year = {{2022}}, } @inproceedings{46282, author = {{Banh, Ngoc Chi and Scharlau, Ingrid}}, booktitle = {{TeaP 2022 - Abstracts of the 64th Conference of Experimental Psychologists }}, editor = {{Malejka, Simone and Barth, Marius and Haider, Hilde and Stahl, Christoph}}, location = {{Cologne, Germany}}, publisher = {{Pabst Science Publishers}}, title = {{{Effects of verbal negation on TVA’s capacity and weight parameters}}}, doi = {{10.23668/psycharchives.5677}}, year = {{2022}}, } @inproceedings{46289, author = {{Banh, Ngoc Chi and Scharlau, Ingrid and Rohlfing, Katharina J.}}, booktitle = {{52. Kongress der Deutschen Gesellschaft für Psychologie}}, editor = {{Bermeitinger, Christina and Greve, Werner }}, location = {{Hildesheim, Germany}}, title = {{{Folgen wiederholter Negation auf die Aufmerksamkeit}}}, year = {{2022}}, } @article{19941, abstract = {{In backward error analysis, an approximate solution to an equation is compared to the exact solution to a nearby ‘modified’ equation. In numerical ordinary differential equations, the two agree up to any power of the step size. If the differential equation has a geometric property then the modified equation may share it. In this way, known properties of differential equations can be applied to the approximation. But for partial differential equations, the known modified equations are of higher order, limiting applicability of the theory. Therefore, we study symmetric solutions of discretized partial differential equations that arise from a discrete variational principle. These symmetric solutions obey infinite-dimensional functional equations. We show that these equations admit second-order modified equations which are Hamiltonian and also possess first-order Lagrangians in modified coordinates. The modified equation and its associated structures are computed explicitly for the case of rotating travelling waves in the nonlinear wave equation.}}, author = {{McLachlan, Robert I and Offen, Christian}}, journal = {{Journal of Geometric Mechanics}}, number = {{3}}, pages = {{447 -- 471}}, publisher = {{AIMS}}, title = {{{Backward error analysis for variational discretisations of partial differential equations}}}, doi = {{10.3934/jgm.2022014}}, volume = {{14}}, year = {{2022}}, } @article{23382, abstract = {{Hamiltonian systems are differential equations which describe systems in classical mechanics, plasma physics, and sampling problems. They exhibit many structural properties, such as a lack of attractors and the presence of conservation laws. To predict Hamiltonian dynamics based on discrete trajectory observations, incorporation of prior knowledge about Hamiltonian structure greatly improves predictions. This is typically done by learning the system's Hamiltonian and then integrating the Hamiltonian vector field with a symplectic integrator. For this, however, Hamiltonian data needs to be approximated based on the trajectory observations. Moreover, the numerical integrator introduces an additional discretisation error. In this paper, we show that an inverse modified Hamiltonian structure adapted to the geometric integrator can be learned directly from observations. A separate approximation step for the Hamiltonian data avoided. The inverse modified data compensates for the discretisation error such that the discretisation error is eliminated. The technique is developed for Gaussian Processes.}}, author = {{Offen, Christian and Ober-Blöbaum, Sina}}, journal = {{Chaos: An Interdisciplinary Journal of Nonlinear Science}}, publisher = {{AIP}}, title = {{{Symplectic integration of learned Hamiltonian systems}}}, doi = {{10.1063/5.0065913}}, volume = {{32(1)}}, year = {{2022}}, } @phdthesis{47149, author = {{Meier, Jana}}, title = {{{„LauRa - In der Lehramtsausbildung Reflexionskompetenz analysieren“ : Untersuchungen zum Verhältnis von Theorie, Praxis und Reflexion im Rahmen der Professionalisierung angehender Lehrpersonen }}}, year = {{2022}}, } @inproceedings{26539, abstract = {{In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.}}, author = {{Götte, Ricarda-Samantha and Timmermann, Julia}}, booktitle = {{2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)}}, keywords = {{data-driven, physics-based, physics-informed, neural networks, system identification, hybrid modelling}}, location = {{Cairo, Egypt}}, pages = {{67--76}}, title = {{{Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering}}}, doi = {{10.1109/AIRC56195.2022.9836982}}, year = {{2022}}, } @inbook{32417, author = {{Tönsing, Johanna}}, booktitle = {{Interpretationsverfahruen der germanistischen Literaturdidaktik und didaktische Referenzkonzepte}}, editor = {{Bernhardt, Sebastian and Hardtke, Thomas}}, title = {{{(K)eine kinderleichte Gattung: Konsequenzen einer kulturwissenschaftlich informierten Märchendidaktik}}}, year = {{2022}}, } @inbook{58243, author = {{Lehberger, Regine}}, booktitle = {{Forschen + Lernen. Wissenschaftliches Denken als Voraussetzung für problemlösungsorientiertes Handeln. }}, publisher = {{UniPrint}}, title = {{{Digitale Medien in Schule und Unterricht}}}, doi = {{10.25819/UBSI/10158}}, year = {{2022}}, } @book{58288, author = {{Woppowa, Jan}}, title = {{{Konfessionsbezogene Differenzsensibilität im Religionsunterricht für alle. Analysen - Interpretationen - Empfehlungen}}}, year = {{2022}}, } @article{58487, abstract = {{ZusammenfassungFrühpädagogische Fachkräfte in Kindertageseinrichtungen sind durch entsprechende Bestimmungen auf Bundes- und Landesebene angehalten, Kinder auf Grundlage ihres aktuellen Lernstandes zum fachlich tragfähigen Weiterlernen anzuregen und individuelle Entwicklungsverläufe zu dokumentieren. Dafür müssen die Fachkräfte in der Lage sein, den Lernstand der Kinder adäquat einzuschätzen. Die hier berichtete Studie analysiert die Genauigkeit von Einschätzungen frühpädagogischer Fachkräfte (N = 49) von Leistungen vier- bis sechsjähriger Kinder (N = 160) in 17 Items im Bereich Mengen und Zahlen. Zur Aufklärung von Varianz in der Einschätzungsgenauigkeit wurden das Geschlecht, der sozioökonomische Status und die mathematische Leistung der Kinder im Bereich Mengen und Zahlen sowie das mathematikdidaktische Wissen der Fachkräfte als mögliche Merkmale erhoben. Es zeigte sich im Schnitt eine mäßige Einschätzungsgenauigkeit mit einer leichten Tendenz zur Überschätzung der Leistungen. Als einziges einflussnehmendes Merkmal auf die Einschätzungsgenauigkeit stellte sich in dieser Untersuchung die Leistung der Kinder im Bereich Mengen und Zahlen heraus: Die Einschätzung der frühpädagogischen Fachkräfte war genauer, wenn die Kinder bessere mathematische Fähigkeiten zeigten. Der sozioökonomische Status und das Geschlecht der Kinder sowie das mathematikdidaktische Wissen der Fachkräfte zeigten keinen signifikanten Einfluss auf die Einschätzungsgenauigkeit.}}, author = {{Aumann, Lena and Gasteiger, Hedwig and Tabeling, Laura and Puca, Rosa Maria}}, issn = {{0173-5322}}, journal = {{Journal für Mathematik-Didaktik}}, number = {{2}}, pages = {{435--462}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Einschätzung mathematischer Fähigkeiten 4- bis 6-jähriger Kinder im Bereich Mengen und Zahlen durch frühpädagogische Fachkräfte Assessments of 4 to 6 Year old Children’s Number Skills by Early Childhood Teachers}}}, doi = {{10.1007/s13138-021-00196-1}}, volume = {{43}}, year = {{2022}}, } @article{58486, abstract = {{ Zusammenfassung. Frühe mathematische Kompetenzen entwickeln sich u.a. in der Auseinandersetzung mit Fragestellungen, die sich im Alltag ergeben. Dabei begleiten Eltern als primäre Bezugspersonen den Großteil der frühen mathematischen Entwicklung. Bedeutend ist dabei die Fähigkeit von Eltern, mathematische Kompetenzen ihrer Kinder einschätzen zu können. Auf dieser Basis können sie mit ihren Kindern adäquat interagieren und mathematische Lerngelegenheiten ermöglichen. Ziel dieser Studie ist es, zu untersuchen, wie genau Eltern die frühen mathematischen Kompetenzen ihrer Kinder einschätzen und wovon die Genauigkeit der Einschätzung abhängt. Dazu wurden Daten von 131 Kindern im Alter von 4 bis 6 Jahren und ihren Eltern erhoben und analysiert. Es zeigte sich eine mittlere bis gute Genauigkeit in der elterlichen Einschätzung. Neben der tatsächlichen Leistung des Kindes nahmen der sozioökonomische Status (SES) der Familie und das Geschlecht des Kindes Einfluss auf die elterliche Einschätzungsgenauigkeit. Aus den Ergebnissen ergeben sich bedeutende Implikationen für die pädagogische Praxis. }}, author = {{Tabeling, Laura and Gasteiger, Hedwig and Aumann, Lena and Puca, Rosa M.}}, issn = {{2191-9186}}, journal = {{Frühe Bildung}}, number = {{1}}, pages = {{20--28}}, publisher = {{Hogrefe Publishing Group}}, title = {{{Elterliche Einschätzung früher mathematischer Kompetenzen}}}, doi = {{10.1026/2191-9186/a000558}}, volume = {{11}}, year = {{2022}}, } @article{59617, abstract = {{There is an increasing interest in sensing applications for a variety of analytes in aqueous environments, as conventional methods do not work reliably under humid conditions or they require complex equipment with experienced operators. Hydrogel sensors are easy to fabricate, are incredibly sensitive, and have broad dynamic ranges. Experiments on their robustness, reliability, and reusability have indicated the possible long-term applications of these systems in a variety of fields, including disease diagnosis, detection of pharmaceuticals, and in environmental testing. It is possible to produce hydrogels, which, upon sensing a specific analyte, can adsorb it onto their 3D-structure and can therefore be used to remove them from a given environment. High specificity can be obtained by using molecularly imprinted polymers. Typical detection principles involve optical methods including fluorescence and chemiluminescence, and volume changes in colloidal photonic crystals, as well as electrochemical methods. Here, we explore the current research utilizing hydrogel-based sensors in three main areas: (1) biomedical applications, (2) for detecting and quantifying pharmaceuticals of interest, and (3) detecting and quantifying environmental contaminants in aqueous environments.}}, author = {{Völlmecke, Katharina and Afroz, Rowshon and Bierbach, Sascha and Brenker, Lee Josephine and Frücht, Sebastian and Glass, Alexandra and Giebelhaus, Ryland and Hoppe, Axel and Kanemaru, Karen and Lazarek, Michal and Rabbe, Lukas and Song, Longfei and Velasco Suarez, Andrea and Wu, Shuang and Serpe, Michael and Kuckling, Dirk}}, issn = {{2310-2861}}, journal = {{Gels}}, number = {{12}}, publisher = {{MDPI AG}}, title = {{{Hydrogel-Based Biosensors}}}, doi = {{10.3390/gels8120768}}, volume = {{8}}, year = {{2022}}, } @article{59619, abstract = {{AbstractA frustrated Lewis pair‐catalyzed hydroboration of aromatic and aliphatic nitriles was developed. The catalyst provides the primary amines in high yields of 77–99% with catalyst loading as low as 2 mol%. The reaction displays high functional group tolerance towards esters, amides, nitro groups and aliphatic halides. The addition of the diborylated amines to ethyl 3‐phenylpropiolate proceeds with Z‐selectivity with d.r. of >99:1 in 77–90% yield over two steps. The reaction mechanism was investigated by control and computational experiments.magnified image }}, author = {{Sieland, Benedikt and Hoppe, Axel and Stepen, Arne J. and Paradies, Jan}}, issn = {{1615-4150}}, journal = {{Advanced Synthesis & Catalysis}}, keywords = {{hydroboration, nitrile, amine, frustrated Lewis pair, density functional theory}}, number = {{18}}, pages = {{3143--3148}}, publisher = {{Wiley}}, title = {{{Frustrated Lewis Pair‐Catalyzed Hydroboration of Nitriles: FLP Versus Borenium Catalysis}}}, doi = {{10.1002/adsc.202200525}}, volume = {{364}}, year = {{2022}}, } @techreport{34463, author = {{Lütje-Klose, Birgit and Wild, Elke and Gorges, Julia and Neumann, Phillip and Grüter, Sandra and Weber, Antonia}}, pages = {{67}}, publisher = {{Universität Bielefeld }}, title = {{{Abschlussbericht: Bielefelder Fortbildungskonzept zur Kooperation in inklusiven Schulen (BiFoKi) Entwicklung und Evaluation eines interdisziplinären Fortbildungsangebots}}}, year = {{2022}}, }