@inbook{33728, author = {{Bielak, C. R. and Böhnke, M. and Bobbert, M. and Meschut, G.}}, booktitle = {{The Minerals, Metals & Materials Series}}, isbn = {{9783031062117}}, issn = {{2367-1181}}, publisher = {{Springer International Publishing}}, title = {{{Development of a Numerical 3D Model for Analyzing Clinched Joints in Versatile Process Chains}}}, doi = {{10.1007/978-3-031-06212-4_15}}, 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}}, } @inproceedings{33967, author = {{Aguiliera, Marcos and Richa, Andréa W. and Schwarzmann, Alexander A. and Panconesi, Alessandro and Scheideler, Christian and Woelfel, Philipp}}, booktitle = {{PODC ’22: ACM Symposium on Principles of Distributed Computing, Salerno, Italy, July 25 - 29, 2022}}, editor = {{Milani, Alessia and Woelfel, Philipp}}, pages = {{1}}, publisher = {{ACM}}, title = {{{2022 Edsger W. Dijkstra Prize in Distributed Computing}}}, doi = {{10.1145/3519270.3538411}}, year = {{2022}}, } @article{34256, abstract = {{The 3D shear deformation and failure behaviour of a glass fibre reinforced polypropylene in a shear strain rate range of γ˙=2.2×10−4 to 3.4 1s is investigated. An Iosipescu testing setup on a servo-hydraulic high speed testing unit is used to experimentally characterise the in-plane and out-of-plane behaviour utilising three specimen configurations (12-, 13- and 31-direction). The experimental procedure as well as the testing results are presented and discussed. The measured shear stress–shear strain relations indicate a highly nonlinear behaviour and a distinct rate dependency. Two methods are investigated to derive according material characteristics: a classical engineering approach based on moduli and strengths and a data driven approach based on the curve progression. In all cases a Johnson–Cook based formulation is used to describe rate dependency. The analysis methodologies as well as the derived model parameters are described and discussed in detail. It is shown that a phenomenologically enhanced regression can be used to obtain material characteristics for a generalising constitutive model based on the data driven approach.}}, author = {{Gerritzen, Johannes and Hornig, Andreas and Gröger, Benjamin and Gude, Maik}}, issn = {{2504-477X}}, journal = {{Journal of Composites Science}}, keywords = {{Engineering (miscellaneous), Ceramics and Composites}}, number = {{10}}, publisher = {{MDPI AG}}, title = {{{A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters}}}, doi = {{10.3390/jcs6100318}}, volume = {{6}}, year = {{2022}}, } @article{34251, abstract = {{Joining by forming operations presents powerful and complex joining techniques. Clinching is a well-known joining process for use in sheet metalworking. Currently, clinched joints are focusing on mechanically enhanced connections. Additionally, the demand for integrating electrical requirements to transmit electrical currents will be increased in the future. This integration is particularly important, for instance, in the e-mobility sector. It enables connecting battery cells with electrical joints of aluminum and copper. Systematic use of the process-specific advantages of this joining method opens up the possibility to find and create electrically optimized connections. The optimization for the transmission of electrical currents will be demonstrated for clinched joints by adapting the tool geometry and the clinched joint design. Based on a comparison of the electrical joint resistance, the limit use temperature is defined for the joining materials used based on the microstructural condition and the aging condition due to artificial aging. As a result of the investigations carried out, reliable current transmission at a constant conductor temperature of up to 120 °C can be achieved for clinched copper–copper joints. In the case of pure aluminum joints and mixed joints of aluminum and copper, long-term stable current transmission can be ensured up to a conductor temperature of 100 °C.}}, author = {{Kalich, Jan and Matzke, Marcus and Pfeiffer, Wolfgang and Schlegel, Stephan and Kornhuber, Ludwig and Füssel, Uwe}}, issn = {{2075-4701}}, journal = {{Metals}}, keywords = {{General Materials Science, Metals and Alloys}}, number = {{10}}, publisher = {{MDPI AG}}, title = {{{Long-Term Behavior of Clinched Electrical Contacts}}}, doi = {{10.3390/met12101651}}, volume = {{12}}, year = {{2022}}, } @article{34254, abstract = {{A virtual test setup for investigating single fibres in a transverse shear flow based on a parallel-plate rheometer is presented. The investigations are carried out to verify a numerical representation of the fluid–structure interaction (FSI), where Arbitrary Lagrangian–Eulerian (ALE) and computational fluid dynamics (CFD) methods are used and evaluated. Both are suitable to simulate flexible solid structures in a transverse shear flow. Comparative investigations with different model setups and increasing complexity are presented. It is shown, that the CFD method with an interface-based coupling approach is not capable of handling small fibre diameters in comparison to large fluid domains due to mesh dependencies at the interface definitions. The ALE method is more suited for this task since fibres are embedded without any mesh restrictions. Element types beam, solid, and discrete are considered for fibre modelling. It is shown that the beam formulation for ALE and 3D solid elements for the CFD method are the preferred options.}}, author = {{Gröger, Benjamin and Wang, Jingjing and Bätzel, Tim and Hornig, Andreas and Gude, Maik}}, issn = {{1996-1944}}, journal = {{Materials}}, keywords = {{General Materials Science}}, number = {{20}}, publisher = {{MDPI AG}}, title = {{{Modelling and Simulation Strategies for Fluid–Structure-Interactions of Highly Viscous Thermoplastic Melt and Single Fibres—A Numerical Study}}}, doi = {{10.3390/ma15207241}}, volume = {{15}}, year = {{2022}}, } @article{34414, abstract = {{Given a steadily increasing demand on multi-material lightweight designs, fast and cost-efficient production technologies, such as the mechanical joining process clinching, are becoming more and more relevant for series production. Since the application of such joining techniques often base on the ability to reach similar or even better joint loading capacities compared to established joining processes (e.g., spot welding), few contributions investigated the systematic improvement of clinch joint characteristics. In this regard, the use of data-driven methods in combination with optimization algorithms showed already high potentials for the analysis of individual joints and the definition of optimal tool configurations. However, the often missing consideration of uncertainties, such as varying material properties, and the related calculation of their impact on clinch joint properties can lead to poor estimation results and thus to a decreased reliability of the entire joint connection. This can cause major challenges, especially for the design and dimensioning of safety-relevant components, such as in car bodies. Motivated by this, the presented contribution introduces a novel method for the robust estimation of clinch joint characteristics including uncertainties of varying and versatile process chains in mechanical joining. Therefore, the utilization of Gaussian process regression models is demonstrated and evaluated regarding the ability to achieve sufficient prediction qualities.}}, author = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}}, issn = {{0268-3768}}, journal = {{The International Journal of Advanced Manufacturing Technology}}, keywords = {{Industrial and Manufacturing Engineering, Computer Science Applications, Mechanical Engineering, Software, Control and Systems Engineering}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Robust estimation of clinch joint characteristics based on data-driven methods}}}, doi = {{10.1007/s00170-022-10441-7}}, year = {{2022}}, } @misc{33287, author = {{Moritzer, Elmar and Held, Christian and Hillemeyer, Johannes}}, booktitle = {{Joining Plastic}}, issn = {{1864-3450}}, pages = {{84--90}}, title = {{{Dimensionierung und Optimierung von im FDM-Verfahren 3D-gedruckten Direktverschraubungen aus ABS}}}, year = {{2022}}, } @article{35308, abstract = {{IntroductionIn 2012, the estimated global prevalence of pre-diabetes was 280 million, and the prevalence is expected to rise to 400 million by 2030. Oat-based foods are a good source of beta-glucans, which have been shown to lower postprandial blood glucose. Studies to evaluate the effectiveness of the long-term intake of beta-glucan-enriched bread as part of a habitual diet among individuals with pre-diabetes are needed. Therefore, we designed a multicentre intervention study in adults with pre-diabetes to investigate the effects of consumption of an oat-derived beta-glucan-enriched bread as part of a normal diet on glycated haemoglobin (HbA1c) in comparison to consumption of whole-grain wheat bread.Methods and analysisThe CarbHealth trial is a multicentre double-blind randomised controlled 16-week dietary intervention trial in participants 40–70 years of age with a body mass index of ≥27 kg/m2 and HbA1c of 35–50 mmol/mol. The study is conducted at four universities located in Norway, Sweden and Germany and uses intervention breads specifically designed for the trial by Nofima AS. The aim is to recruit 250 participants. The primary outcome is the difference in HbA1c between the intervention and the control groups. The main analysis will include intervention group, study centre and baseline HbA1c as independent variables in an analysis of covariance model.Ethics and disseminationThe study protocol was approved by respective ethical authorities in participating countries. The results of the study will be communicated through publication in international scientific journals and presentations at (inter)national conferences.Trial registration numberNCT04994327.}}, author = {{Hjorth, Therese and Schadow, Alena and Revheim, Ingrid and Spielau, Ulrike and Thomassen, Lise M and Meyer, Klara and Piotrowski, Katja and Rosendahl-Riise, Hanne and Rieder, Anne and Varela, Paula and Lysne, Vegard and Ballance, Simon and Koerner, Antje and Landberg, Rikard and Buyken, Anette and Dierkes, Jutta}}, issn = {{2044-6055}}, journal = {{BMJ Open}}, keywords = {{General Medicine}}, number = {{8}}, publisher = {{BMJ}}, title = {{{Sixteen-week multicentre randomised controlled trial to study the effect of the consumption of an oat beta-glucan-enriched bread versus a whole-grain wheat bread on glycaemic control among persons with pre-diabetes: a study protocol of the CarbHealth study}}}, doi = {{10.1136/bmjopen-2022-062066}}, volume = {{12}}, year = {{2022}}, } @article{35311, author = {{Jansen, K and Tempes, J and Drozdowska, A and Gutmann, M and Falkenstein, M and Buyken, Anette and Libuda, Lars and Rudolf, H and Lücke, T and Kersting, M}}, issn = {{0954-3007}}, journal = {{Eur J Clin Nutr}}, number = {{5}}, pages = {{779}}, title = {{{Correction: Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children's cognitive function in a randomized crossover study.}}}, volume = {{76}}, year = {{2022}}, } @article{35307, author = {{Vinoy, S and Goletzke, J and Rakhshandehroo, M and Schweitzer, L and Flourakis, M and Körner, A and Alexy, U and van Schothorst, EM and Ceriello, A and Zakrzewski-Fruer, JK and Buyken, Anette}}, issn = {{1436-6207}}, journal = {{Eur J Nutr}}, title = {{{Health relevance of lowering postprandial glycaemia in the paediatric population through diet': results from a multistakeholder workshop.}}}, year = {{2022}}, } @inproceedings{35540, author = {{Perevalov, Aleksandr and Both, Andreas and Diefenbach, Dennis and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, editor = {{Laforest, Frédérique and Troncy, Raphaël and Simperl, Elena and Agarwal, Deepak and Gionis, Aristides and Herman, Ivan and Médini, Lionel}}, pages = {{977–986}}, publisher = {{ACM}}, title = {{{Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?}}}, doi = {{10.1145/3485447.3511940}}, year = {{2022}}, } @inproceedings{35547, author = {{Demir, Caglar and Lienen, Julian and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{HT ’22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022}}, editor = {{Bellogín, Alejandro and Boratto, Ludovico and Cena, Federica}}, pages = {{1–10}}, publisher = {{ACM}}, title = {{{Kronecker Decomposition for Knowledge Graph Embeddings}}}, doi = {{10.1145/3511095.3531276}}, year = {{2022}}, } @article{35642, 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}}, keywords = {{Polymers and Plastics, Organic Chemistry, Biomaterials, Bioengineering}}, number = {{12}}, publisher = {{MDPI AG}}, title = {{{Hydrogel-Based Biosensors}}}, doi = {{10.3390/gels8120768}}, volume = {{8}}, year = {{2022}}, } @article{35649, abstract = {{Motivated by the work [6] of Mariusz Bieniek, Krzysztof Burdzy and Soumik Pal we study a Fleming-Viot-type particle system consisting of independently moving particles each driven by generalized Bessel processes on the positive real line. Upon hitting the boundary {0} this particle is killed and an uniformly chosen different one branches into two particles. Using the symmetry of the model and the self similarity property of Bessel processes, we obtain a criterion to decide whether the particles converge to the origin at a finite time. This addresses open problem 1.4 in [6]. Specifically, inspired by [6, Open Problem 1.5], we investigate the case of three moving particles and refine the general result of [6, Theorem 1.1(ii)] extending the regime of drift parameters, where convergence does not occur – even to values, where it does occur when considering the case of only two particles.}}, author = {{Kolb, Martin and Liesenfeld, Matthias}}, journal = {{Electronic Journal of Probability}}, number = {{27}}, pages = {{1--28}}, publisher = {{Institute of Mathematical Statistics}}, title = {{{On non-extinction in a Fleming-Viot-type particle model with Bessel drift}}}, doi = {{https://doi.org/10.1214/22-EJP866}}, year = {{2022}}, } @article{35987, author = {{Schlegel-Matthies, Kirsten}}, issn = {{2193-8806}}, journal = {{Haushalt in Bidlung und Forschung}}, number = {{1}}, pages = {{89--94}}, publisher = {{Barbara Budrich}}, title = {{{Zur Erinnerung: Warum Bildung für Lebensführung immer eine politische Dimension hat. Das Beispiel Nationalsozialismus}}}, doi = {{10.3224/hibifo.v11i1.06}}, volume = {{11}}, year = {{2022}}, } @inbook{35980, author = {{Schlegel-Matthies, Kirsten}}, booktitle = {{Konsum - Ernährung - Gesundheit. Grundlagen der Ernährungs- und Verbraucherbildung}}, isbn = {{978-3-8252-5767-5}}, pages = {{302--318}}, publisher = {{Barbara Budrich}}, title = {{{Konzepte von Qualität in ihrer Bedeutung für Konsumentscheidungen verstehen}}}, year = {{2022}}, } @inbook{35983, author = {{Schlegel-Matthies, Kirsten and Methfessel, Barbara}}, booktitle = {{Konsum - Ernährung - Gesundheit. Grundlagen der Ernährungs- und Verbraucherbildung}}, isbn = {{978-3-8252-5767-5}}, pages = {{137--156}}, publisher = {{Barbara Budrich}}, title = {{{Die Bedeutung von Ressourcen für die Lebensgestaltung verstehen}}}, year = {{2022}}, } @book{35984, author = {{Schlegel-Matthies, Kirsten and Bartsch, Silke and Brandl, Werner and Methfessel, Barbara}}, isbn = {{978-3-8252-5767-5}}, pages = {{410}}, publisher = {{Barbara Budrich}}, title = {{{Konsum - Ernährung - Gesundheit. Grundlagen der Ernährungs- und Verbraucherbildung}}}, year = {{2022}}, } @article{35988, author = {{Schlegel-Matthies, Kirsten}}, issn = {{2193-8806}}, journal = {{Haushalt in Bidlung und Forschung}}, number = {{1}}, pages = {{3--24}}, publisher = {{Barbara Budrich}}, title = {{{Die Bedeutung von Ressourcen für Lebensqualität und gesellschaftliche Teilhabe}}}, doi = {{10.3224/hibifo.v11i1.01}}, volume = {{11}}, year = {{2022}}, }