@unpublished{31545,
  abstract     = {{Knowledge graph embedding research has mainly focused on learning continuous representations of entities and relations tailored towards the link prediction problem. Recent results indicate an ever increasing predictive ability of current approaches on benchmark datasets. However, this effectiveness often comes with the cost of over-parameterization and increased computationally complexity. The former induces extensive hyperparameter optimization to mitigate malicious overfitting. The latter magnifies the importance of winning the hardware lottery. Here, we investigate a remedy for the first problem. We propose a technique based on Kronecker decomposition to reduce the number of parameters in a knowledge graph embedding model, while retaining its expressiveness. Through Kronecker decomposition, large embedding matrices are split into smaller embedding matrices during the training process. Hence, embeddings of knowledge graphs are not plainly retrieved but reconstructed on the fly. The decomposition ensures that elementwise interactions between three embedding vectors are extended with interactions within each embedding vector. This implicitly reduces redundancy in embedding vectors and encourages feature reuse. To quantify the impact of applying Kronecker decomposition on embedding matrices, we conduct a series of experiments on benchmark datasets. Our experiments suggest that applying Kronecker decomposition on embedding matrices leads to an improved parameter efficiency on all benchmark datasets. Moreover, empirical evidence suggests that reconstructed embeddings entail robustness against noise in the input knowledge graph. To foster reproducible research, we provide an open-source implementation of our approach, including training and evaluation scripts as well as pre-trained models in our knowledge graph embedding framework.}},
  author       = {{Demir, Caglar and Lienen, Julian and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{arXiv:2205.06560}},
  title        = {{{Kronecker Decomposition for Knowledge Graph Embeddings}}},
  year         = {{2022}},
}

@unpublished{31546,
  abstract     = {{In semi-supervised learning, the paradigm of self-training refers to the idea of learning from pseudo-labels suggested by the learner itself. Across various domains, corresponding methods have proven effective and achieve state-of-the-art performance. However, pseudo-labels typically stem from ad-hoc heuristics, relying on the quality of the predictions though without guaranteeing their validity. One such method, so-called credal self-supervised learning, maintains pseudo-supervision in the form of sets of (instead of single) probability distributions over labels, thereby allowing for a flexible yet uncertainty-aware labeling. Again, however, there is no justification beyond empirical effectiveness. To address this deficiency, we make use of conformal prediction, an approach that comes with guarantees on the validity of set-valued predictions. As a result, the construction of credal sets of labels is supported by a rigorous theoretical foundation, leading to better calibrated and less error-prone supervision for unlabeled data. Along with this, we present effective algorithms for learning from credal self-supervision. An empirical study demonstrates excellent calibration properties of the pseudo-supervision, as well as the competitiveness of our method on several benchmark datasets.}},
  author       = {{Lienen, Julian and Demir, Caglar and Hüllermeier, Eyke}},
  booktitle    = {{arXiv:2205.15239}},
  title        = {{{Conformal Credal Self-Supervised Learning}}},
  year         = {{2022}},
}

@phdthesis{31556,
  abstract     = {{Mehrzieloptimierung behandelt Probleme, bei denen mehrere skalare Zielfunktionen simultan optimiert werden sollen. Ein Punkt ist in diesem Fall optimal, wenn es keinen anderen Punkt gibt, der mindestens genauso gut ist in allen Zielfunktionen und besser in mindestens einer Zielfunktion. Ein notwendiges Optimalitätskriterium lässt sich über Ableitungsinformationen erster Ordnung der Zielfunktionen herleiten. Die Menge der Punkte, die dieses notwendige Kriterium erfüllen, wird als Pareto-kritische Menge bezeichnet. Diese Arbeit enthält neue Resultate über Pareto-kritische Mengen für glatte und nicht-glatte Mehrzieloptimierungsprobleme, sowohl was deren Berechnung betrifft als auch deren Struktur. Im glatten Fall erfolgt die Berechnung über ein Fortsetzungsverfahren, im nichtglatten Fall über ein Abstiegsverfahren. Anschließend wird die Struktur des Randes der Pareto-kritischen Menge analysiert, welcher aus Pareto-kritischen Mengen kleinerer Subprobleme besteht. Schlussendlich werden inverse Probleme betrachtet, bei denen zu einer gegebenen Datenmenge ein Zielfunktionsvektor gefunden werden soll, für den die Datenpunkte kritisch sind.}},
  author       = {{Gebken, Bennet}},
  title        = {{{Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization}}},
  doi          = {{10.17619/UNIPB/1-1327}},
  year         = {{2022}},
}

@article{31574,
  abstract     = {{We model negative polarization, which is observed for planetary regoliths at backscattering, solving a full wave problem of light scattering with a numerically exact Discontinuous Galerkin Time Domain (DGTD) method. Pieces of layers with the bulk packing density of particles close to 0.5 are used. The model particles are highly absorbing and have irregular shapes and sizes larger than the wavelength of light. This represents a realistic analog of low-albedo planetary regoliths. Our simulations confirm coherent backscattering mechanism of the origin of negative polarization. We show that angular profiles of polarization are stabilized if the number of particles in a layer piece becomes larger than ten. This allows application of our approach to the negative polarization modeling for planetary regoliths.}},
  author       = {{Grynko, Yevgen and Shkuratov, Yuriy and Alhaddad, Samer and Förstner, Jens}},
  issn         = {{0019-1035}},
  journal      = {{Icarus}},
  keywords     = {{tet_topic_scattering}},
  pages        = {{115099}},
  publisher    = {{Elsevier BV}},
  title        = {{{Negative polarization of light at backscattering from a numerical analog of planetary regoliths}}},
  doi          = {{10.1016/j.icarus.2022.115099}},
  volume       = {{384}},
  year         = {{2022}},
}

@article{32864,
  abstract     = {{The further development of in-mold-assembly (IMA) technologies for structural hybrid components is of great importance for increasing the economic efficiency and thus the application potential. This paper presents an innovative IMA process concept for the manufacturing of bending loaded hybrid components consisting of two outer metal belts and an inner core structure made of glass mat reinforced thermoplastic (GMT). In this process, the core structure, which is provided with stiffening ribs and functional elements, is formed and joined to two metal belts in one single step. For experimental validation of the concept, the development of a prototypic molding tool and the manufacturing of hybrid beams including process parameters are described. Three-point bending tests and optical measurement technologies are used to characterize the failure behavior and mechanical properties of the produced hybrid beams. It was found that the innovative IMA process enables the manufacturing of hybrid components with high energy absorption and low weight in one step. The mass-specific energy absorption is increased by 693 % compared to pure GMT beams.}},
  author       = {{Stallmeister, Tim and Tröster, Thomas}},
  issn         = {{1662-9795}},
  journal      = {{Key Engineering Materials}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  pages        = {{1457--1467}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{In-Mold-Assembly of Hybrid Bending Structures by Compression Molding}}},
  doi          = {{10.4028/p-5fxp53}},
  volume       = {{926}},
  year         = {{2022}},
}

@misc{33033,
  author       = {{Fehring, Lukas}},
  title        = {{{Combined Ranking and Regression Trees for Algorithm Selection}}},
  year         = {{2022}},
}

@unpublished{33150,
  abstract     = {{In this article, we build on previous work to present an optimization algorithm for nonlinearly constrained multi-objective optimization problems. The algorithm combines a surrogate-assisted derivative-free trust-region approach with the filter method known from single-objective optimization. Instead of the true objective and constraint functions, so-called fully linear models are employed and we show how to deal with the gradient inexactness in the composite step setting, adapted from single-objective optimization as well. Under standard assumptions, we prove convergence of a subset of iterates to a quasi-stationary point and if constraint qualifications hold, then the limit point is also a KKT-point of the multi-objective problem.}},
  author       = {{Berkemeier, Manuel Bastian and Peitz, Sebastian}},
  booktitle    = {{arXiv:2208.12094}},
  title        = {{{Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients}}},
  year         = {{2022}},
}

@inbook{33306,
  author       = {{Fiege, Amanda Sophie and Pape, Stefan}},
  booktitle    = {{#MoodleKannMehr – nicht nur im Distanzunterricht! }},
  editor       = {{Krähwinkel, Tanja}},
  isbn         = {{978-3-96784-19-3}},
  pages        = {{76 -- 78}},
  publisher    = {{Visual Ink Publishing}},
  title        = {{{Moodle in der Hochschullehre: Struktur durch HTML-Code}}},
  year         = {{2022}},
}

@inbook{33307,
  author       = {{Pape, Stefan and Fiege, Amanda Sophie and Mindt, Ilka}},
  booktitle    = {{Selected Papers from the 2021 Conference of the German Association for the Study of English}},
  editor       = {{Wawra, Daniela and Rose, Jonathan}},
  issn         = {{2625-2147}},
  pages        = {{15 -- 27}},
  publisher    = {{Universitätsverlag Winter}},
  title        = {{{Authentic Englishes.nrw – Developing and Using Interactive Teaching and Learning Materials on Varieties of English}}},
  doi          = {{10.33675/ANGL/2022/2/6}},
  volume       = {{33.2}},
  year         = {{2022}},
}

@article{33371,
  author       = {{Steinhardt, Isabel}},
  issn         = {{2365-3329}},
  journal      = {{DNGPS Working Paper}},
  keywords     = {{Open Science, kollaborative Autoethnographie}},
  number       = {{si}},
  pages        = {{1--11}},
  publisher    = {{Verlag Barbara Budrich GmbH}},
  title        = {{{Kollaborative Autoethnographien digitaler Praktiken. Eine konzeptionelle, methodische und theoretische Einführung zu einem Lehr-Forschungsprojekt im ersten Corona-Semester}}},
  doi          = {{10.3224/dngps.v8si.01}},
  volume       = {{8}},
  year         = {{2022}},
}

@article{33370,
  abstract     = {{<ns3:p>Research that investigates respective researchers’ engagement in Open Science varies widely in the topics addressed, methods employed, and disciplines investigated, which makes it difficult to integrate and compare its results. To investigate current outcomes of Open Science research, and to get a better understanding on well-researched topics and research gaps, we aimed at providing an openly accessible overview of empirical studies that focus on different aspects of Open Science in different scientific disciplines, academic groups and geographical regions. In this paper, we describe a data set of studies about Open Science practices retrieved following a PRISMA approach to compile a literature review. We included studies from the Scopus and Web of Science databases with keywords relating to Open Science between the years 2000 and 2020, as well as a snowball search for relevant articles. Studies that did not investigate any aspect of Open Science, or weren’t peer-reviewed were excluded, resulting in a total of 695 remaining studies.<ns3:italic> </ns3:italic>The data set was collaboratively annotated to ensure intercoder reliability of the coded data.</ns3:p>}},
  author       = {{Lasser, Jana and Schneider, Jürgen and Lösch, Thomas and Röwert, Ronny and Heck, Tamara and Bluemel, Clemens and Neufend, Maike and Steinhardt, Isabel and Skupien, Stefan}},
  issn         = {{2046-1402}},
  journal      = {{F1000Research}},
  keywords     = {{Open Science}},
  publisher    = {{F1000 Research Ltd}},
  title        = {{{MapOSR - A mapping review dataset of empirical studies on Open Science}}},
  doi          = {{10.12688/f1000research.121665.1}},
  volume       = {{11}},
  year         = {{2022}},
}

@book{33377,
  abstract     = {{Zur Inhaltsanalyse gibt es bereits diverse Methodenbücher. Warum sollten Sie also genau das vorliegende Methodenbuch „Qualitative und quantitative Inhaltsanalyse: digital und automatisiert “lesen? Erstens schließt dieses Buch eine Lücke, der wir in der Lehre und bei Methodenworkshops immer wieder begegnet sind. Diese Lücke besteht darin, dass selten eine Übersicht über und Gegenüberstellung verschiedener Methoden der qualitativen und quantitativen Inhaltsanalyse gegeben wird. Zudem haben bisherige Lehr-und Methodenbücher in den Sozialwissenschaften teil-und vollautomatisierte Verfahren der Textanalyse noch nicht aufgegriffen und diese mit bereits etablierten Verfahren qualitativer und quantitativer Inhaltsanalyse verknüpft. Zweitens bietet dieses Buch im ersten Teil eine systematische und anwendungsorientierte Einführung zu den Grundlagen inhaltsanalytischer empirischer Sozialforschung. Im zweiten Teil werden detaillierte Anleitungen von digital unterstützten qualitativen inhaltsanalytischen Auswertungstechniken gegeben. Den teil-und vollautomatisierten quantitativen inhaltsanalytischen Auswertungstechniken widmet sich der dritte Teil des Buches. Bei digital unterstützten Verfahren werden Sie durch Software bei Ihrer Analyse unterstützt, beispielsweise bei der digitalen Organisation Ihrer Daten und bei der digitalen Durchführung der Auswertung. Bei teilautomatisierten Verfahren der Inhaltsanalyse nehmen Ihnen Software und Tools Teile der Datenanalyse ab, wohingegen bei vollautomatisierten Verfahren der gesamte Auswertungsprozess und oftmals auch die Datenbeschaffung durch Programme und Tools durchgeführt wird.}},
  author       = {{Schneijderberg, Christian and Wieczorek, Oliver and Steinhardt, Isabel}},
  keywords     = {{qualitative Inhaltsanalyse, quantitative Inhaltsanalyse}},
  publisher    = {{Beltz Juventa}},
  title        = {{{Qualitative und quantitative Inhaltsanalyse: digital und automatisiert. Eine anwendungsorientierte Einführung mit empirischen Beispielen und Softwareanwendungen}}},
  year         = {{2022}},
}

@article{33381,
  author       = {{Scheiwe, Lisa}},
  journal      = {{Anglistik}},
  number       = {{2}},
  pages        = {{61--75}},
  title        = {{{Evaluating Accents of English in ELT Textbooks Used at German Secondary Schools}}},
  doi          = {{https://doi.org/10.33675/ANGL/2022/2/8}},
  volume       = {{33}},
  year         = {{2022}},
}

@article{6579,
  abstract     = {{An explicit approach using symplectic time integration in conjunction with traditional finite difference spatial derivatives to solve the wave equation in moving media is presented. A simple operator split of this second order wave equation into two coupled first order equations is performed, allowing these split equations to be solved symplectically. Orders of symplectic time integration ranging from first to fourth along with orders of spatial derivatives ranging from second to sixth are explored. The case of cylindrical acoustic spreading in air under a constant velocity in a 2D square structured domain is considered. The variation of the computed time-of-flight, frequency, and wave length are studied with varying grid resolution and the deviations from the analytical solutions are determined. It was found that symplectic time integration interferes with finite difference spatial derivatives higher than second order causing unexpected results. This is actually beneficial for unstructured finite volume tools like OpenFOAM where second order spatial operators are the state-of-the art. Cylindrical acoustic spreading is simulated on an unstructured 2D triangle mesh showing that symplectic time integration is not limited to the spatial discretization paradigm and overcomes the numerical diffusion arising with the in-built numerical methods which hinder wave propagation.}},
  author       = {{Inguva, Venkatesh and Feldmann, Nadine and Claes, Leander and Koturbash, Taras and Hahn-Jose, Thomas and Koutcherov, Vladimir and Kenig, Eugeny}},
  journal      = {{Engineering Reports}},
  title        = {{{An explicit symplectic approach to solving the wave equation in moving media}}},
  doi          = {{10.1002/eng2.12573}},
  year         = {{2022}},
}

@article{33523,
  abstract     = {{Die thermisch verursachte, plastische Verformung an statischen Druckplatten von Lamellenbremsen kann das Betriebsverhalten von Bremsen nachhaltig stören und sollte daher vermieden werden. So kann die plastische Verformung der Druckplatte beispielsweise zu einer Verkleinerung des Luftspalts führen und ungewollte Veränderung der Reibverhältnisse verursachen. Während des Bremsvorgangs dehnen sich hoch erwärmte Bereiche nah der Reibfläche aus und werden von den Zonen geringerer Temperatur an ihrer Ausdehnung gehindert. Überschreiten die daraus resultierenden Spannungen die Dehngrenze des Materials, kommt es zu plastischer Verformung. Dieser Artikel erläutert den physikalischen Verformungsprozess detailliert und darauf aufbauend, welche Maßnahmen zu einer Verringerung der Verformung ergriffen werden können. Dazu werden im Rahmen theoretischer Vorüberlegungen drei Ansätze identifiziert, die sowohl die Geometrie als auch die Werkstoffe der Druckplatten betreffen. Radiale Schlitze sollen die Behinderung der thermischen Dehnung verhindern und dadurch Spannungen reduzieren; die Werkstoffauswahl auf Basis der Thermoschockempfindlichkeit reduziert die plastische Verformung. Anhand einer kombinierten Simulation der Thermik und der Mechanik einer Druckplatte wird der Effekt dieser Ansätze an vier Varianten der Druckplatte überprüft. Experimentelle Untersuchungen an realen Prototypen der Druckplattenvarianten bestätigen die Ergebnisse der Simulation und weisen die Wirksamkeit der vorgeschlagenen Maßnahmen zur Reduzierung der plastischen Verformung nach.}},
  author       = {{Schadomsky, Magnus and Blumenthal, Lars Martin and Zimmer, Detmar and Peter, Simon and Boros, Laszlo}},
  issn         = {{0015-7899}},
  journal      = {{Forschung im Ingenieurwesen}},
  keywords     = {{General Engineering, Bremsen, Bremsscheiben, thermoplastische Verformung}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Maßnahmen zur Reduzierung von plastischer Verformung an statischen Druckplatten von Lammellenbremsen infolge einseitig eingebrachter hoher Reibleistung}}},
  doi          = {{10.1007/s10010-022-00601-2}},
  year         = {{2022}},
}

@article{33810,
  author       = {{Koldewey, Christian and Hobscheidt, Daniela and Pierenkemper, Christoph and Kühn, Arno and Dumitrescu, Roman}},
  journal      = {{Sci}},
  number       = {{4}},
  publisher    = {{MDPI}},
  title        = {{{Increasing Firm Performance through Industry 4.0—A Method to Define and Reach Meaningful Goals}}},
  doi          = {{https://doi.org/10.3390/sci4040039}},
  volume       = {{39}},
  year         = {{2022}},
}

@article{20731,
  abstract     = {{We present a novel algorithm that allows us to gain detailed insight into the effects of sparsity in linear and nonlinear optimization, which is of great importance in many scientific areas such as image and signal processing, medical imaging, compressed sensing, and machine learning (e.g., for the training of neural networks). Sparsity is an important feature to ensure robustness against noisy data, but also to find models that are interpretable and easy to analyze due to the small number of relevant terms. It is common practice to enforce sparsity by adding the ℓ1-norm as a weighted penalty term. In order to gain a better understanding and to allow for an informed model selection, we directly solve the corresponding multiobjective optimization problem (MOP) that arises when we minimize the main objective and the ℓ1-norm simultaneously. As this MOP is in general non-convex for nonlinear objectives, the weighting method will fail to provide all optimal compromises. To avoid this issue, we present a continuation method which is specifically tailored to MOPs with two objective functions one of which is the ℓ1-norm. Our method can be seen as a generalization of well-known homotopy methods for linear regression problems to the nonlinear case. Several numerical examples - including neural network training - demonstrate our theoretical findings and the additional insight that can be gained by this multiobjective approach.}},
  author       = {{Bieker, Katharina and Gebken, Bennet and Peitz, Sebastian}},
  journal      = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}},
  number       = {{11}},
  pages        = {{7797--7808}},
  publisher    = {{IEEE}},
  title        = {{{On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation}}},
  doi          = {{10.1109/TPAMI.2021.3114962}},
  volume       = {{44}},
  year         = {{2022}},
}

@inbook{34015,
  author       = {{Scharlau, Ingrid}},
  booktitle    = {{Reflexive Schreibwissenschaft}},
  editor       = {{Haacke-Werron, Stefanie and Karsten, Andrea and Scharlau, Ingrid}},
  pages        = {{147--152}},
  publisher    = {{WBV}},
  title        = {{{Hundertstelmillimeter}}},
  doi          = {{10.3278/9783763972524}},
  volume       = {{14}},
  year         = {{2022}},
}

@article{34253,
  abstract     = {{Lightweight construction has increasingly become the focus of scientific research in recent years, not least due to
the constantly increasing fuel price, which is a key factor in the economic viability of many companies. In this
respect, the use of hybrid structures, made of dissimilar materials offers many advantages. However, such hybrid
structures often have undesirable side effects. For example, brittle intermetallic phases are formed when
aluminum and steel are welded. Clinching as a mechanical joining process does not produce such intermetallic
phases since the connection is realized through form and force closure. In this process, a punch passes through
two or more sheets and forms them into a permanent joint in a die. In the present work, the corrosion phenomena
of an aluminum-steel clinched joint have been investigated by both experiments and numerical simulations in
order to explain the superior fatigue behavior of pre-corroded joints. Therefore, the clinched joints have been
corroded by a three-week salt-spray test. In addition, the electric potential and the von Mises stress are calculated
under the assumption of a static loading. The results of both experiments and numerical simulations can explain
the improvement in the fatigue behavior of the corroded specimens. This phenomenon can be attributed to the
accumulation of corrosion products in small gaps between the joined metal sheets.}},
  author       = {{Harzheim, Sven and Ewenz, Lars and Zimmermann, Martina and Wallmersperger, Thomas}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{Corrosion Phenomena and Fatigue Behavior of Clinched Joints: Numerical and Experimental Investigations}}},
  doi          = {{10.1016/j.jajp.2022.100130}},
  volume       = {{6}},
  year         = {{2022}},
}

@article{34252,
  abstract     = {{Clinching is the manufacturing process of joining two or more metal sheets under high plastic deformation by form and force closure without thermal support and auxiliary parts. Clinch connections are applicable to difficult-to-join hybrid material combinations, such as steel and aluminum. Therefore, this technology is interesting for the application of AISI 304 components, as this material is widely used as a highly formable sheet material. A characteristic feature of AISI 304 is its metastability, i.e., the face-centered cubic (fcc) γ-austenite can transform into a significantly stronger body-centered cubic (bcc) α’-martensite under plastic deformation. This work investigates the effect of heat treatment—a process that involves the formation of an oxidation layer on the sheet surface—on the forming process during joining and the resulting mechanical properties of clinch joints made from AISI 304. For this purpose, different joints made from non-heat treated and heat-treated sheets were examined using classical metallography and advanced SEM techniques, accompanied by further investigations, such as hardness and feritscope measurements. The shear tensile strength was determined, and the fracture behavior of the samples was investigated. Clear influences of heat-treatment-induced surface roughness on the joint geometry and strength were observed.}},
  author       = {{Zeuner, André Till and Ewenz, Lars and Kalich, Jan and Schöne, Sebastian and Füssel, Uwe and Zimmermann, Martina}},
  issn         = {{2075-4701}},
  journal      = {{Metals}},
  keywords     = {{General Materials Science, Metals and Alloys}},
  number       = {{9}},
  publisher    = {{MDPI AG}},
  title        = {{{The Influence of Heat Treatment on the Microstructure, Surface Roughness and Shear Tensile Strength of AISI 304 Clinch Joints}}},
  doi          = {{10.3390/met12091514}},
  volume       = {{12}},
  year         = {{2022}},
}