@article{32234,
  author       = {{Wojciechowski, M}},
  issn         = {{2352-3409}},
  journal      = {{Data Brief}},
  pages        = {{108318}},
  title        = {{{Dataset for random uniform distributions of 2D circles and 3D spheres.}}},
  volume       = {{43}},
  year         = {{2022}},
}

@article{32087,
  abstract     = {{<jats:p> Agility, a key component of team ball sports, describes an athlete´s ability to move fast in response to changing environments. While agility requires basic cognitive functions like processing speed, it also requires more complex cognitive processes like working memory and inhibition. Yet, most agility tests restrict an assessment of cognitive processes to simple reactive times that lack ecological validity. Our aim in this study was to assess agility performance by means of total time on two agility tests with matched motor demands but with both low and high cognitive demands. We tested 22 female team athletes on SpeedCourt, using a simple agility test (SAT) that measured only processing speed and a complex agility test (CAT) that required working memory and inhibition. We found excellent to good reliability for both our SAT (ICC = .79) and CAT (ICC =.70). Lower agility performance on the CAT was associated with increased agility total time and split times ( p &lt; .05). These results demonstrated that agility performance depends on the complexity of cognitive demands. There may be interference-effects between motor and cognitive performances, reducing speed when environmental information becomes more complex. Future studies should consider agility training models that implement complex cognitive stimuli to challenge athletes according to competitive demands. This will also allow scientists and practitioners to tailor tests to talent identification, performance development and injury rehabilitation. </jats:p>}},
  author       = {{Büchel, Daniel and Gokeler, Alli and Heuvelmans, Pieter and Baumeister, Jochen}},
  issn         = {{0031-5125}},
  journal      = {{Perceptual and Motor Skills}},
  keywords     = {{Sensory Systems, Experimental and Cognitive Psychology}},
  publisher    = {{SAGE Publications}},
  title        = {{{Increased Cognitive Demands Affect Agility Performance in Female Athletes - Implications for Testing and Training of Agility in Team Ball Sports}}},
  doi          = {{10.1177/00315125221108698}},
  year         = {{2022}},
}

@inproceedings{31806,
  abstract     = {{The creation of an RDF knowledge graph for a particular application commonly involves a pipeline of tools that transform a set ofinput data sources into an RDF knowledge graph in a process called dataset augmentation. The components of such augmentation pipelines often require extensive configuration to lead to satisfactory results. Thus, non-experts are often unable to use them. Wepresent an efficient supervised algorithm based on genetic programming for learning knowledge graph augmentation pipelines of arbitrary length. Our approach uses multi-expression learning to learn augmentation pipelines able to achieve a high F-measure on the training data. Our evaluation suggests that our approach can efficiently learn a larger class of RDF dataset augmentation tasks than the state of the art while using only a single training example. Even on the most complex augmentation problem we posed, our approach consistently achieves an average F1-measure of 99% in under 500 iterations with an average runtime of 16 seconds}},
  author       = {{Dreßler, Kevin and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia}},
  keywords     = {{2022 RAKI SFB901 deer dice kevin knowgraphs limes ngonga sherif simba}},
  location     = {{Barcelona (Spain)}},
  title        = {{{ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning}}},
  doi          = {{10.1145/3511095.3531287}},
  year         = {{2022}},
}

@inproceedings{33253,
  author       = {{Hansmeier, Tim and Brede, Mathis and Platzner, Marco}},
  booktitle    = {{GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion}},
  location     = {{Boston, MA, USA}},
  pages        = {{2071--2079}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion}}},
  doi          = {{10.1145/3520304.3533977}},
  year         = {{2022}},
}

@inproceedings{34152,
  author       = {{Otroshi, Mortaza and Meschut, Gerson}},
  location     = {{Rostock}},
  publisher    = {{Europäische Forschungsgesellschaft für Blechverarbeitung e.V. }},
  title        = {{{Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung}}},
  year         = {{2022}},
}

@inproceedings{29342,
  author       = {{Sander, Sascha and Teutenberg, Dominik and Meschut, Gerson and Kötz, Fabian and Matzenmiller, Anton and Kasper, Yann and Ummenhofer, Thomas}},
  booktitle    = {{22. Kolloquium Gemeinsame Forschung in der Klebtechnik}},
  location     = {{Online Konferenz}},
  title        = {{{Methodenentwicklung zur rechnerischen Auslegung geklebter  Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und  Anlagenbau }}},
  year         = {{2022}},
}

@article{33009,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>The present work aimed to delineate (i) a revised protocol according to recent methodological developments in evidence generation, to (ii) describe its interpretation, the assessment of the overall certainty of evidence and to (iii) outline an Evidence to Decision framework for deriving an evidence-based guideline on quantitative and qualitative aspects of dietary protein intake.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>A methodological protocol to systematically investigate the association between dietary protein intake and several health outcomes and for deriving dietary protein intake recommendations for the primary prevention of various non-communicable diseases in the general adult population was developed.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The developed methodological protocol relies on umbrella reviews including systematic reviews with or without meta-analyses. Systematic literature searches in three databases will be performed for each health-related outcome. The methodological quality of all selected systematic reviews will be evaluated using a modified version of AMSTAR 2, and the outcome-specific certainty of evidence for systematic reviews with or without meta-analysis will be assessed with NutriGrade. The general outline of the Evidence to Decision framework foresees that recommendations in the derived guideline will be given based on the overall certainty of evidence as well as on additional criteria such as sustainability.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>The methodological protocol permits a systematic evaluation of published systematic reviews on dietary protein intake and its association with selected health-related outcomes. An Evidence to Decision framework will be the basis for the overall conclusions and the resulting recommendations for dietary protein intake.</jats:p>
              </jats:sec>}},
  author       = {{Kroke, Anja and Schmidt, Annemarie and Amini, Anna M. and Kalotai, Nicole and Lehmann, Andreas and Haardt, Julia and Bauer, Jürgen M. and Bischoff-Ferrari, Heike A. and Boeing, Heiner and Egert, Sarah and Ellinger, Sabine and Kühn, Tilman and Louis, Sandrine and Lorkowski, Stefan and Nimptsch, Katharina and Remer, Thomas and Schulze, Matthias B. and Siener, Roswitha and Stangl, Gabriele I. and Volkert, Dorothee and Zittermann, Armin and Buyken, Anette E. and Watzl, Bernhard and Schwingshackl, Lukas}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous)}},
  number       = {{4}},
  pages        = {{2091--2101}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society}}},
  doi          = {{10.1007/s00394-021-02789-5}},
  volume       = {{61}},
  year         = {{2022}},
}

@inproceedings{33240,
  author       = {{Götte, Thorsten and Scheideler, Christian}},
  booktitle    = {{SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022}},
  editor       = {{Agrawal, Kunal and Lee, I-Ting Angelina}},
  pages        = {{99–101}},
  publisher    = {{ACM}},
  title        = {{{Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion}}},
  doi          = {{10.1145/3490148.3538556}},
  year         = {{2022}},
}

@inbook{30941,
  abstract     = {{Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between
decision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning.}},
  author       = {{Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}},
  booktitle    = {{Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}},
  publisher    = {{Springer}},
  title        = {{{Decision Support Ecosystems: Deﬁnition and Platform Architecture}}},
  doi          = {{10.1007/978-3-031-06530-9_8}},
  volume       = {{447}},
  year         = {{2022}},
}

@inproceedings{33508,
  abstract     = {{In this work, methods will be evaluated to numerically calculate the passive electrical parameters of planar coils. These parameters can then be used to optimize inductive applications such as wireless power transmission. The focus here will be on inductive localization, which uses high-frequency magnetic fields and the resulting induced voltage to provide localization through the coupling parameter mutual inductance. To achieve localization with high accuracy and best possible operation (resonance, signal strength, etc.), the coil parameters need to be well known. For this reason, some numerical methods for the calculation of these quantities are presented and validated. In addition, the physical effects are thereby considered in more detail, allowing the localization procedure to be better optimized compared to simulative black-box methods. The goal should be a dedicated simulation platform for planar coils to be able to develop training data for neural networks and to test and optimize localization algorithms.}},
  author       = {{Lange, Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}},
  booktitle    = {{2022 Smart Systems Integration (SSI)}},
  keywords     = {{Simulation Environment, Inductive Localization, Coil Parameters, Inductive Applications, Near-Field}},
  location     = {{Grenoble, France}},
  publisher    = {{IEEE}},
  title        = {{{Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings}}},
  doi          = {{10.1109/ssi56489.2022.9901416}},
  year         = {{2022}},
}

@article{33713,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The development of technical systems requires close cooperation of stakeholders from different disciplines. This collaboration takes place in workshops. Driven by digitalization and by the current pandemic such workshops take place primarily online. Suitable collaboration tools and methods are crucial to success. At the beginning of such workshops, use and damage scenarios are identified. In this paper, we presented a method and tool for identifying and modeling use and damage scenarios, which we evaluated in 14 online workshops with a total of 118 participants over a period of almost 3 years.</jats:p>}},
  author       = {{Japs, Sergej and Schmidt, Sebastian and Kargl, Frank and Kaiser, Lydia and Kharatyan, Aschot and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{1599--1608}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Collaborative Modeling of Use Case &amp; Damage Scenarios in Online Workshops Using a 3D Environment}}},
  doi          = {{10.1017/pds.2022.162}},
  volume       = {{2}},
  year         = {{2022}},
}

@inbook{33728,
  author       = {{Bielak, C. R. and Böhnke, M. and Bobbert, M. and Meschut, G.}},
  booktitle    = {{The Minerals, Metals &amp; 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}},
}

@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     = {{<jats:p>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.</jats:p>}},
  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{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}},
}

@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     = {{<jats:sec><jats:title>Introduction</jats:title><jats:p>In 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.</jats:p></jats:sec><jats:sec><jats:title>Methods and analysis</jats:title><jats:p>The 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/m<jats:sup>2</jats:sup> 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.</jats:p></jats:sec><jats:sec><jats:title>Ethics and dissemination</jats:title><jats:p>The 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.</jats:p></jats:sec><jats:sec><jats:title>Trial registration number</jats:title><jats:p><jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="clintrialgov" xlink:href="NCT04994327">NCT04994327</jats:ext-link>.</jats:p></jats:sec>}},
  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}},
}

