C. Harteis, M. Goller, and K.-H. Gerholz, “Digitalization of work: Challenges for workplace learning,” in The SAGE Handbook of Learning and Work, M. Malloch, L. Cairns, K. Evans, and B. N. O’Connor, Eds. London: SAGE Publications, 2022, pp. 329–342.
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C. Caruso and M. Goller, “Die Relevanz von Mentor*innen für die Professionalisierung von angehenden Lehrkräften im Praxissemester: Forschungsdesiderate und Handlungsoptionen,” Die Deutsche Schule, vol. 114, no. 4, 2022.
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D. Niehues, More Efficient Techniques for Adaptively-Secure Cryptography. 2022.
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J. Holtmann, J. Deantoni, and M. Fockel, “Early timing analysis based on scenario requirements and platform models,”10.1007/s10270-022-01002-3__Software and Systems Modeling, 2022, doi:10.1007/s10270-022-01002-3 .
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J. Ring et al., “The HS chaperone Ydj1 drives amyloid beta 42 toxicity,”10.15252/emmm.202113952__EMBO Molecular Medicine, vol. 14, p. e13952, 2022, doi:10.15252/emmm.202113952 .
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P. Heyser et al., “Metamodellbasierte Prozesskette - Umformen-Schneiden-Spannen-Fügen,” in Pressen, Systeme, Prozesse der Zukunft Effizienz + Digitalisierung, 2022, vol. T 50.
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G. Meschut et al., Konzeption einer adaptiven Prozesskette für das mechanische Fügen, vol. 578. Hannover: Europäische Forschungsgesellschaft für Blechverarbeitung e.V, 2022.
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P. Heyser et al., “Smart process chain – data analysis in sheet metal processing for joinability prediction,” presented at the SMART PRODUCTION 2022, Bad Nauheim, 2022.
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M.-H. Chen, G. Mudgal, W.-F. Chen, and H. Wachsmuth, “Investigating the argumentation structures of EFL learners from diverse language backgrounds,” 2022.
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S. A. Bernemann, J. Makowiak, J. Makowiak, R. Bertling, N. Lutters, and E. Kenig, “Entwicklung eines innovativen Trennapparates zur Stickstoffrückgewinnung aus landwirtschaftlichen Abfällen,” presented at the Jahrestreffen Fluidverfahrenstechnik und Hochdruckverfahrenstechnik 2022, Frankfurt am Main, 2022.
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S. Sadeghi-Kohan, S. Hellebrand, and H.-J. Wunderlich, “Stress-Aware Periodic Test of Interconnects,”10.1007/s10836-021-05979-5__Journal of Electronic Testing, 2022, doi:10.1007/s10836-021-05979-5 .
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S. Sadeghi-Kohan, S. Hellebrand, and H.-J. Wunderlich, EM-Aware Interconnect BIST. Online: European Workshop on Silicon Lifecycle Management, March 18, 2022, 2022.
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A. K. Verma, F. Bopp, J. J. Finley, B. Jonas, A. Zrenner, and D. Reuter, “Low Areal Densities of InAs Quantum Dots on GaAs(100) Prepared by Molecular Beam Epitaxy,”10.1016/j.jcrysgro.2022.126715__Journal of Crystal Growth, Art. no. 126715, 2022, doi:10.1016/j.jcrysgro.2022.126715 .
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K. Klingsiek, T. John, and D. Kundisch, “Procrastination in the Looking Glass of Self-Awareness: Can Gamified Self-Monitoring Reduce Academic Procrastination?,” die hochschullehre, vol. 8, no. 5, pp. 61–76, 2022.
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P. K. Subban et al., “Does it really take a village to raise a child? Reflections on the need for collective responsibility in inclusive education,”10.1080/08856257.2022.2059632__European Journal of Special Needs Education, vol. 37, pp. 1–12, 2022, doi:10.1080/08856257.2022.2059632 .
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H. Farheen et al., “Broadband optical TO5 antennas for directional emission of light,”10.1364/oe.455815__Optics Express, vol. 30, no. 11, p. 19288, 2022, doi:10.1364/oe.455815 .
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S. Elit, “Dekonstruktionen des Staatssozialismus (und mehr). Komische Helden der Wende- und Nachwendezeit in deutschsprachiger Literatur,” in Aufbruch und Krise. Ästhetische/Narrative Auseinandersetzungen mit der spanischen Transición und der deutschen aWende8 (Germanisch-Romanische Monatsschrift. Beiheft) , S. Schreckenberg and D. V. Schumann, Eds. Heidelberg, 2022, pp. 1833196.
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L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network,”10.52041/iase.nkppy__2022, doi:10.52041/iase.nkppy .
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B. Liu, Z. Zhou, Y. Wang, T. Zentgraf, Y. Li, and L. Huang, “Experimental verification of the acoustic geometric phase,”10.1063/5.0091474__Applied Physics Letters, vol. 120, no. 21, Art. no. 211702, 2022, doi:10.1063/5.0091474 .
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S. Baswana, S. Gupta, and T. Knollmann, “Mincut Sensitivity Data Structures for the Insertion of an Edge,”10.1007/s00453-022-00978-0__Algorithmica, 2022, doi:10.1007/s00453-022-00978-0 .
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S. Elit, “Friedrich Gottlieb Klopstock: Handexemplar der eOden“. Kritische Edition, hg. v. Marit Müller, Göttingen 2020 (edition Text 18),”DOI: 10.1515/arb-2022-0022__Arbitrium 40 . pp. 60363, 2022, doi:DOI: 10.1515/arb-2022-0022 .
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M. Kobecki et al., “Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity,”10.1103/physrevlett.128.157401__Physical Review Letters, vol. 128, no. 15, Art. no. 157401, 2022, doi:10.1103/physrevlett.128.157401 .
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C. Demir, J. Lienen, and A.-C. Ngonga Ngomo, “Kronecker Decomposition for Knowledge Graph Embeddings,” arXiv:2205.06560. 2022.
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M. Hanke et al., “Anion-specific structure and stability of guanidinium-bound DNA origami,”10.1016/j.csbj.2022.05.037__Computational and Structural Biotechnology Journal, vol. 20, pp. 2611–2623, 2022, doi:10.1016/j.csbj.2022.05.037 .
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J. Lienen, C. Demir, and E. Hüllermeier, “Conformal Credal Self-Supervised Learning,” arXiv:2205.15239. 2022.
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S. Çavdar and G. Meschut, “Stress-based fatigue lifetime prediction of adhesively bonded joints with hyperelastic deformation behavior,” presented at the 45th Annual Meeting of The Adhesion Society, San Diego, California, USA, 2022.
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B. Gebken, Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization. 2022.
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Y. Grynko, Y. Shkuratov, S. Alhaddad, and J. Förstner, “Negative polarization of light at backscattering from a numerical analog of planetary regoliths,”10.1016/j.icarus.2022.115099__Icarus, vol. 384, p. 115099, 2022, doi:10.1016/j.icarus.2022.115099 .
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S. Strauß, “‘Elizabeth Grubgeld, Disability and Life Writing in Post-Independence Ireland’, Book Review,” European Journal of Life Writing, vol. 11. pp. 29–34, 2022.
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S. Ballweg, “Anticipating Expectations. Family Language Policy and its Orientation to the School System,”https://doi.org/10.1080/14790718.2022.2033756__International Journal of Multilingualims, 2022, doi:https://doi.org/10.1080/14790718.2022.2033756 .
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A. Karsten, J. Schwede, M. Körber, and I. Scharlau, “Transitivitätscharakteristika als Werkzeug in der systematischen qualitativen Metaphernanalyse,” in Die Praxis der systematischen Metaphernanalyse, J. Schröder, L. Pfaller, A.-K. Hoklas, and R. Schmitt, Eds. Wiesbaden: Springer VS.
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R. M. Kasse et al., “Combined Effects of Uniform Applied Pressure and Electrolyte Additives in Lithium-Metal Batteries,”10.1021/acsaem.2c00806__ACS Applied Energy Materials, vol. 5, no. 7, pp. 8273–8281, 2022, doi:10.1021/acsaem.2c00806 .
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J. Kirchhoff, S. Gottschalk, and G. Engels, “Detecting Data Incompatibilities in Process-Driven Decision Support Systems,” in Lecture Notes in Business Information Processing, Cham: Springer International Publishing, 2022.
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J. K. Gutt and K. Thommes, “Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments,”10.5465/ambpp.2022.16394abstract__Academy of Management Proceedings, vol. 2022, no. 1, 2022, doi:10.5465/ambpp.2022.16394abstract .
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T. Stallmeister and T. Tröster, “In-Mold-Assembly of Hybrid Bending Structures by Compression Molding,”10.4028/p-5fxp53__Key Engineering Materials, vol. 926, pp. 1457–1467, 2022, doi:10.4028/p-5fxp53 .
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A. Shollo, K. Hopf, T. Thiess, and O. Müller, “Shifting ML value creation mechanisms: A process model of ML value creation,”10.1016/j.jsis.2022.101734__The Journal of Strategic Information Systems, vol. 31, no. 3, Art. no. 101734, 2022, doi:10.1016/j.jsis.2022.101734 .
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M. Hanke, G. Grundmeier, and A. Keller, “Direct visualization of the drug loading of single DNA origami nanostructures by AFM-IR nanospectroscopy,”10.1039/d2nr02701a__Nanoscale, vol. 14, pp. 11552–11560, 2022, doi:10.1039/d2nr02701a .
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C. Linnig and T. Tröster, “Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern,” CU reports, 2022.
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A. Kroke et al., “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,”10.1007/s00394-021-02789-5__European Journal of Nutrition, vol. 61, no. 4, pp. 2091–2101, 2022, doi:10.1007/s00394-021-02789-5 .
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J. Böcker, “Concept Study of an LLC Converter with Magnetically Resonant Inductor,”10.1109/speedam53979.2022.9842047__presented at the SPEEDAM, Sorrento, Italy, 2022, doi:10.1109/speedam53979.2022.9842047 .
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L. Fehring, Combined Ranking and Regression Trees for Algorithm Selection. Paderborn, 2022.
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Y. Luan, Untersuchung der physikalische Absorptionsmethoden zur Bestimmung von gasseitigen Stoffübergangskoeffizienten für strukturierte Packungen basierend auf hydrodynamischen Analogien. 2022.
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F. Markewitz, “Hexenverhörprotokolle als sprachhistorisches Korpus. Fallstudien zur Erschließung der frühneuzeitlichen Schriftsprache,” Zeitschrift für Angewandte Linguistik, vol. 76. pp. 130–138, 2022.
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L. Muth, C. Noll, and W. Sextro, “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data,”10.1007/978-3-031-07305-2_92__in Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, Saint Petersburg, Russia, 2022, doi:10.1007/978-3-031-07305-2_92 .
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A. Tornede, V. Bengs, and E. Hüllermeier, “Machine Learning for Online Algorithm Selection under Censored Feedback,” Proceedings of the 36th AAAI Conference on Artificial Intelligence. AAAI, 2022.
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arXiv: 2109.06234

A. Tornede, L. Gehring, T. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection on a Meta Level,” Machine Learning. 2022.
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arXiv: 2107.09414

A. Fuhrmann et al., Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen. Shaker, 2022.
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K. Gevers, A. Tornede, M. D. Wever, V. Schöppner, and E. Hüllermeier, “A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials,”10.1007/s40194-022-01339-9__Welding in the World, 2022, doi:10.1007/s40194-022-01339-9 .
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M. B. Berkemeier and S. Peitz, “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients,” arXiv:2208.12094. 2022.
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arXiv: 2208.12094

M. Redlin, “Differences in NPI strategies against COVID-19,”10.1007/s11149-022-09452-9__Journal of Regulatory Economics, 2022, doi:10.1007/s11149-022-09452-9 .
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