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Zentgraf, in: Proceedings of The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics, 2024.","mla":"Wetter, Helene, et al. “Dielectric Metasurface for Wave-Vector Variant and Circular Polarization Dependent Transmission.” <i>Proceedings of The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics</i>, 2024.","apa":"Wetter, H., Gao, W., Rehberg, F., Wingenbach, J., Schumacher, S., &#38; Zentgraf, T. (2024). Dielectric metasurface for wave-vector variant and circular polarization dependent transmission. <i>Proceedings of The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics</i>. META 2024 - The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics, Toyama, Japan.","ama":"Wetter H, Gao W, Rehberg F, Wingenbach J, Schumacher S, Zentgraf T. Dielectric metasurface for wave-vector variant and circular polarization dependent transmission. In: <i>Proceedings of The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics</i>. ; 2024.","chicago":"Wetter, Helene, Wenlong Gao, Falk Rehberg, Jan Wingenbach, Stefan Schumacher, and Thomas Zentgraf. “Dielectric Metasurface for Wave-Vector Variant and Circular Polarization Dependent Transmission.” In <i>Proceedings of The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics</i>, 2024.","ieee":"H. Wetter, W. Gao, F. Rehberg, J. Wingenbach, S. Schumacher, and T. Zentgraf, “Dielectric metasurface for wave-vector variant and circular polarization dependent transmission,” presented at the META 2024 - The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics, Toyama, Japan, 2024."},"year":"2024","date_created":"2025-05-23T06:30:36Z","author":[{"last_name":"Wetter","full_name":"Wetter, Helene","first_name":"Helene"},{"first_name":"Wenlong","last_name":"Gao","full_name":"Gao, Wenlong"},{"first_name":"Falk","last_name":"Rehberg","full_name":"Rehberg, Falk"},{"full_name":"Wingenbach, Jan","id":"69187","last_name":"Wingenbach","first_name":"Jan"},{"full_name":"Schumacher, Stefan","id":"27271","orcid":"0000-0003-4042-4951","last_name":"Schumacher","first_name":"Stefan"},{"first_name":"Thomas","last_name":"Zentgraf","orcid":"0000-0002-8662-1101","full_name":"Zentgraf, Thomas","id":"30525"}],"date_updated":"2025-05-23T06:34:16Z","conference":{"location":"Toyama, Japan","end_date":"2024-07-19","start_date":"2024-07-16","name":"META 2024 - The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics"},"title":"Dielectric metasurface for wave-vector variant and circular polarization dependent transmission","publication":"Proceedings of The 14th International Conference on Metamaterials, Photonic Crystals and Plasmonics","type":"conference","status":"public","department":[{"_id":"15"},{"_id":"230"},{"_id":"289"},{"_id":"623"}],"user_id":"30525","_id":"60023","project":[{"grant_number":"231447078","name":"TRR 142: TRR 142 - Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten zu funktionellen Strukturen","_id":"53"},{"name":"TRR 142 - A: TRR 142 - Project Area A","_id":"54"},{"grant_number":"231447078","name":"TRR 142 - A09: TRR 142 - Erzeugung von Drei-Photonen-Zuständen mit On-Chip Pumplichtunterdrückung in topologischen Wellenleitern (A09*)","_id":"164"}],"language":[{"iso":"eng"}]},{"status":"public","type":"conference","publication":"{Forschungskolloquium zur Audiokommunikation}","language":[{"iso":"eng"}],"user_id":"55565","department":[{"_id":"36"},{"_id":"233"},{"_id":"870"}],"_id":"58550","citation":{"apa":"Berndt, A. (2024). Auditory Pointers: Spatial Navigation with Sounds. <i>{Forschungskolloquium Zur Audiokommunikation}</i>.","short":"A. Berndt, in: {Forschungskolloquium Zur Audiokommunikation}, Berlin, Germany, 2024.","bibtex":"@inproceedings{Berndt_2024, place={Berlin, Germany}, title={Auditory Pointers: Spatial Navigation with Sounds}, booktitle={{Forschungskolloquium zur Audiokommunikation}}, author={Berndt, Axel}, year={2024} }","mla":"Berndt, Axel. “Auditory Pointers: Spatial Navigation with Sounds.” <i>{Forschungskolloquium Zur Audiokommunikation}</i>, 2024.","ama":"Berndt A. Auditory Pointers: Spatial Navigation with Sounds. In: <i>{Forschungskolloquium Zur Audiokommunikation}</i>. ; 2024.","chicago":"Berndt, Axel. “Auditory Pointers: Spatial Navigation with Sounds.” In <i>{Forschungskolloquium Zur Audiokommunikation}</i>. Berlin, Germany, 2024.","ieee":"A. Berndt, “Auditory Pointers: Spatial Navigation with Sounds,” 2024."},"place":"Berlin, Germany","year":"2024","title":"Auditory Pointers: Spatial Navigation with Sounds","date_created":"2025-02-10T14:11:18Z","author":[{"full_name":"Berndt, Axel","id":"55565","last_name":"Berndt","first_name":"Axel"}],"date_updated":"2025-05-23T15:15:16Z"},{"author":[{"first_name":"Axel","full_name":"Berndt, Axel","id":"55565","last_name":"Berndt"},{"full_name":"Waloschek, S.","last_name":"Waloschek","first_name":"S."}],"date_created":"2025-02-10T14:12:09Z","date_updated":"2025-05-23T15:15:35Z","title":"FlowScore: MEI Streaming to Digital Music Stands","citation":{"mla":"Berndt, Axel, and S. Waloschek. “FlowScore: MEI Streaming to Digital Music Stands.” <i>{Edirom Summer School 2024}</i>, 2024.","short":"A. Berndt, S. Waloschek, in: {Edirom Summer School 2024}, Paderborn, Germany, 2024.","bibtex":"@inproceedings{Berndt_Waloschek_2024, place={Paderborn, Germany}, title={FlowScore: MEI Streaming to Digital Music Stands}, booktitle={{Edirom Summer School 2024}}, author={Berndt, Axel and Waloschek, S.}, year={2024} }","apa":"Berndt, A., &#38; Waloschek, S. (2024). FlowScore: MEI Streaming to Digital Music Stands. <i>{Edirom Summer School 2024}</i>.","ama":"Berndt A, Waloschek S. FlowScore: MEI Streaming to Digital Music Stands. In: <i>{Edirom Summer School 2024}</i>. ; 2024.","ieee":"A. Berndt and S. Waloschek, “FlowScore: MEI Streaming to Digital Music Stands,” 2024.","chicago":"Berndt, Axel, and S. Waloschek. “FlowScore: MEI Streaming to Digital Music Stands.” In <i>{Edirom Summer School 2024}</i>. Paderborn, Germany, 2024."},"year":"2024","place":"Paderborn, Germany","user_id":"55565","department":[{"_id":"36"},{"_id":"233"},{"_id":"870"}],"_id":"58553","language":[{"iso":"eng"}],"type":"conference","publication":"{Edirom Summer School 2024}","status":"public"},{"status":"public","type":"conference","publication":"{Digitale Methoden in den Geisteswissenschaften. Herausforderungen und Chancen}","language":[{"iso":"eng"}],"_id":"52514","user_id":"55565","year":"2024","place":"Rome, Italy","citation":{"bibtex":"@inproceedings{Berndt_2024, place={Rome, Italy}, title={Mozart-Dekonstruktionen: Genese einer KI-generierten Konzertmusik}, booktitle={{Digitale Methoden in den Geisteswissenschaften. Herausforderungen und Chancen}}, author={Berndt, Axel}, year={2024} }","mla":"Berndt, Axel. “Mozart-Dekonstruktionen: Genese Einer KI-Generierten Konzertmusik.” <i>{Digitale Methoden in Den Geisteswissenschaften. Herausforderungen Und Chancen}</i>, 2024.","short":"A. Berndt, in: {Digitale Methoden in Den Geisteswissenschaften. Herausforderungen Und Chancen}, Rome, Italy, 2024.","apa":"Berndt, A. (2024). Mozart-Dekonstruktionen: Genese einer KI-generierten Konzertmusik. <i>{Digitale Methoden in Den Geisteswissenschaften. Herausforderungen Und Chancen}</i>.","ieee":"A. Berndt, “Mozart-Dekonstruktionen: Genese einer KI-generierten Konzertmusik,” 2024.","chicago":"Berndt, Axel. “Mozart-Dekonstruktionen: Genese Einer KI-Generierten Konzertmusik.” In <i>{Digitale Methoden in Den Geisteswissenschaften. Herausforderungen Und Chancen}</i>. Rome, Italy, 2024.","ama":"Berndt A. Mozart-Dekonstruktionen: Genese einer KI-generierten Konzertmusik. In: <i>{Digitale Methoden in Den Geisteswissenschaften. Herausforderungen Und Chancen}</i>. ; 2024."},"title":"Mozart-Dekonstruktionen: Genese einer KI-generierten Konzertmusik","date_updated":"2025-05-23T15:15:03Z","author":[{"first_name":"Axel","last_name":"Berndt","full_name":"Berndt, Axel","id":"55565"}],"date_created":"2024-03-12T16:57:56Z"},{"publication_status":"published","publication_identifier":{"issn":["0007-0998","2044-8279"]},"issue":"2","year":"2024","citation":{"short":"J. Schönherr, British Journal of Educational Psychology 94 (2024) 407–424.","bibtex":"@article{Schönherr_2024, title={Personalizing real‐world problems: Posing own problems increases self‐efficacy expectations, intrinsic value, attainment value, and utility value}, volume={94}, DOI={<a href=\"https://doi.org/10.1111/bjep.12653\">10.1111/bjep.12653</a>}, number={2}, journal={British Journal of Educational Psychology}, publisher={Wiley}, author={Schönherr, Johanna}, year={2024}, pages={407–424} }","mla":"Schönherr, Johanna. “Personalizing Real‐world Problems: Posing Own Problems Increases Self‐efficacy Expectations, Intrinsic Value, Attainment Value, and Utility Value.” <i>British Journal of Educational Psychology</i>, vol. 94, no. 2, Wiley, 2024, pp. 407–24, doi:<a href=\"https://doi.org/10.1111/bjep.12653\">10.1111/bjep.12653</a>.","ama":"Schönherr J. Personalizing real‐world problems: Posing own problems increases self‐efficacy expectations, intrinsic value, attainment value, and utility value. <i>British Journal of Educational Psychology</i>. 2024;94(2):407-424. doi:<a href=\"https://doi.org/10.1111/bjep.12653\">10.1111/bjep.12653</a>","apa":"Schönherr, J. (2024). Personalizing real‐world problems: Posing own problems increases self‐efficacy expectations, intrinsic value, attainment value, and utility value. <i>British Journal of Educational Psychology</i>, <i>94</i>(2), 407–424. <a href=\"https://doi.org/10.1111/bjep.12653\">https://doi.org/10.1111/bjep.12653</a>","ieee":"J. Schönherr, “Personalizing real‐world problems: Posing own problems increases self‐efficacy expectations, intrinsic value, attainment value, and utility value,” <i>British Journal of Educational Psychology</i>, vol. 94, no. 2, pp. 407–424, 2024, doi: <a href=\"https://doi.org/10.1111/bjep.12653\">10.1111/bjep.12653</a>.","chicago":"Schönherr, Johanna. “Personalizing Real‐world Problems: Posing Own Problems Increases Self‐efficacy Expectations, Intrinsic Value, Attainment Value, and Utility Value.” <i>British Journal of Educational Psychology</i> 94, no. 2 (2024): 407–24. <a href=\"https://doi.org/10.1111/bjep.12653\">https://doi.org/10.1111/bjep.12653</a>."},"intvolume":"        94","page":"407-424","publisher":"Wiley","date_updated":"2025-05-27T12:15:31Z","date_created":"2024-09-24T18:02:43Z","author":[{"first_name":"Johanna","full_name":"Schönherr, Johanna","id":"99409","last_name":"Schönherr"}],"volume":94,"title":"Personalizing real‐world problems: Posing own problems increases self‐efficacy expectations, intrinsic value, attainment value, and utility value","doi":"10.1111/bjep.12653","type":"journal_article","publication":"British Journal of Educational Psychology","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Real‐world problems are important in math instruction, but they do not necessarily trigger students' task motivation. Personalizing real‐world problems by (1) matching problems to students' shared living environment (context personalization) and (2) asking students to pose their own problems (active personalization) might be two interventions to increase students' task motivation.</jats:p></jats:sec><jats:sec><jats:title>Aim</jats:title><jats:p>In the current study, we investigated the effects of context personalization and active personalization on students' self‐efficacy expectations, intrinsic value, attainment value, utility value, and cost.</jats:p></jats:sec><jats:sec><jats:title>Sample</jats:title><jats:p>The participants were 28 fifth‐ and sixth‐grade students who voluntarily took part in a six‐month afterschool program in which they posed problems with the aim of creating a math walk in their hometown.</jats:p></jats:sec><jats:sec><jats:title>Method</jats:title><jats:p>Using a within‐subjects design, at the end of the afterschool program, the students rated their self‐efficacy expectations and task values for four self‐developed problems associated with their hometown, four peer‐developed problems associated with their hometown, and four instructor‐provided problems associated with unfamiliar locations.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Students reported higher self‐efficacy expectations, intrinsic value, attainment value, and utility value for active‐personalized than non‐personalized problems. To a lesser extent, context personalization promoted intrinsic value and attainment value. No effect was found for cost.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Active personalization (i.e. asking students to pose their own real‐world problems) is suited to enhance students' task motivation, specifically their self‐efficacy expectations, intrinsic value, attainment value, and utility value. Context personalization still boosts students' intrinsic value and attainment value. Implementation in classroom instruction is discussed.</jats:p></jats:sec>"}],"status":"public","_id":"56236","user_id":"99409","department":[{"_id":"913"}],"language":[{"iso":"eng"}]},{"year":"2024","intvolume":"      3739","citation":{"apa":"Peñaloza, R., &#38; Turhan, A.-Y. (2024). Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations. In L. Giordano, J. C. Jung, &#38; A. Ozaki (Eds.), <i>Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024</i> (Vol. 3739). CEUR-WS.org.","short":"R. Peñaloza, A.-Y. Turhan, in: L. Giordano, J.C. Jung, A. Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024, CEUR-WS.org, 2024.","mla":"Peñaloza, Rafael, and Anni-Yasmin Turhan. “Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations.” <i>Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024</i>, edited by Laura Giordano et al., vol. 3739, CEUR-WS.org, 2024.","bibtex":"@inproceedings{Peñaloza_Turhan_2024, series={CEUR Workshop Proceedings}, title={Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations}, volume={3739}, booktitle={Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024}, publisher={CEUR-WS.org}, author={Peñaloza, Rafael and Turhan, Anni-Yasmin}, editor={Giordano, Laura and Jung, Jean Christoph and Ozaki, Ana}, year={2024}, collection={CEUR Workshop Proceedings} }","ieee":"R. Peñaloza and A.-Y. Turhan, “Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations,” in <i>Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024</i>, 2024, vol. 3739.","chicago":"Peñaloza, Rafael, and Anni-Yasmin Turhan. “Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations.” In <i>Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024</i>, edited by Laura Giordano, Jean Christoph Jung, and Ana Ozaki, Vol. 3739. CEUR Workshop Proceedings. CEUR-WS.org, 2024.","ama":"Peñaloza R, Turhan A-Y. Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations. In: Giordano L, Jung JC, Ozaki A, eds. <i>Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024</i>. Vol 3739. CEUR Workshop Proceedings. CEUR-WS.org; 2024."},"title":"Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations","date_updated":"2025-05-28T06:50:50Z","publisher":"CEUR-WS.org","volume":3739,"author":[{"first_name":"Rafael","full_name":"Peñaloza, Rafael","last_name":"Peñaloza"},{"first_name":"Anni-Yasmin","full_name":"Turhan, Anni-Yasmin","id":"104470","last_name":"Turhan"}],"date_created":"2024-09-17T08:46:26Z","editor":[{"last_name":"Giordano","full_name":"Giordano, Laura","first_name":"Laura"},{"last_name":"Jung","full_name":"Jung, Jean Christoph","first_name":"Jean Christoph"},{"first_name":"Ana","last_name":"Ozaki","full_name":"Ozaki, Ana"}],"status":"public","publication":"Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024","type":"conference","language":[{"iso":"eng"}],"_id":"56159","department":[{"_id":"888"}],"user_id":"117185","series_title":"CEUR Workshop Proceedings"},{"volume":148,"author":[{"last_name":"Schönherr","full_name":"Schönherr, Johanna","id":"99409","first_name":"Johanna"},{"last_name":"Schukajlow","full_name":"Schukajlow, Stanislaw","first_name":"Stanislaw"}],"date_created":"2024-06-20T12:30:38Z","publisher":"Elsevier BV","date_updated":"2025-05-27T12:16:47Z","doi":"10.1016/j.tate.2024.104659","title":"Preservice teachers' judgments of students’ expectations of success and task values: Close relations with their personal task motivation","publication_identifier":{"issn":["0742-051X"]},"publication_status":"published","intvolume":"       148","citation":{"ama":"Schönherr J, Schukajlow S. Preservice teachers’ judgments of students’ expectations of success and task values: Close relations with their personal task motivation. <i>Teaching and Teacher Education</i>. 2024;148. doi:<a href=\"https://doi.org/10.1016/j.tate.2024.104659\">10.1016/j.tate.2024.104659</a>","ieee":"J. Schönherr and S. Schukajlow, “Preservice teachers’ judgments of students’ expectations of success and task values: Close relations with their personal task motivation,” <i>Teaching and Teacher Education</i>, vol. 148, Art. no. 104659, 2024, doi: <a href=\"https://doi.org/10.1016/j.tate.2024.104659\">10.1016/j.tate.2024.104659</a>.","chicago":"Schönherr, Johanna, and Stanislaw Schukajlow. “Preservice Teachers’ Judgments of Students’ Expectations of Success and Task Values: Close Relations with Their Personal Task Motivation.” <i>Teaching and Teacher Education</i> 148 (2024). <a href=\"https://doi.org/10.1016/j.tate.2024.104659\">https://doi.org/10.1016/j.tate.2024.104659</a>.","bibtex":"@article{Schönherr_Schukajlow_2024, title={Preservice teachers’ judgments of students’ expectations of success and task values: Close relations with their personal task motivation}, volume={148}, DOI={<a href=\"https://doi.org/10.1016/j.tate.2024.104659\">10.1016/j.tate.2024.104659</a>}, number={104659}, journal={Teaching and Teacher Education}, publisher={Elsevier BV}, author={Schönherr, Johanna and Schukajlow, Stanislaw}, year={2024} }","short":"J. Schönherr, S. Schukajlow, Teaching and Teacher Education 148 (2024).","mla":"Schönherr, Johanna, and Stanislaw Schukajlow. “Preservice Teachers’ Judgments of Students’ Expectations of Success and Task Values: Close Relations with Their Personal Task Motivation.” <i>Teaching and Teacher Education</i>, vol. 148, 104659, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.tate.2024.104659\">10.1016/j.tate.2024.104659</a>.","apa":"Schönherr, J., &#38; Schukajlow, S. (2024). Preservice teachers’ judgments of students’ expectations of success and task values: Close relations with their personal task motivation. <i>Teaching and Teacher Education</i>, <i>148</i>, Article 104659. <a href=\"https://doi.org/10.1016/j.tate.2024.104659\">https://doi.org/10.1016/j.tate.2024.104659</a>"},"year":"2024","department":[{"_id":"913"}],"user_id":"99409","_id":"54836","language":[{"iso":"eng"}],"article_number":"104659","publication":"Teaching and Teacher Education","type":"journal_article","status":"public"},{"department":[{"_id":"913"}],"user_id":"99409","_id":"56235","language":[{"iso":"eng"}],"article_number":"100639","publication":"Educational Research Review","type":"journal_article","status":"public","volume":45,"author":[{"last_name":"Schönherr","id":"99409","full_name":"Schönherr, Johanna","first_name":"Johanna"},{"first_name":"Anselm R.","last_name":"Strohmaier","full_name":"Strohmaier, Anselm R."},{"last_name":"Schukajlow","full_name":"Schukajlow, Stanislaw","first_name":"Stanislaw"}],"date_created":"2024-09-24T17:59:41Z","publisher":"Elsevier BV","date_updated":"2025-05-27T12:16:09Z","doi":"10.1016/j.edurev.2024.100639","title":"Learning with visualizations helps: A meta-analysis of visualization interventions in mathematics education","publication_identifier":{"issn":["1747-938X"]},"publication_status":"published","intvolume":"        45","citation":{"short":"J. Schönherr, A.R. Strohmaier, S. Schukajlow, Educational Research Review 45 (2024).","mla":"Schönherr, Johanna, et al. “Learning with Visualizations Helps: A Meta-Analysis of Visualization Interventions in Mathematics Education.” <i>Educational Research Review</i>, vol. 45, 100639, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.edurev.2024.100639\">10.1016/j.edurev.2024.100639</a>.","bibtex":"@article{Schönherr_Strohmaier_Schukajlow_2024, title={Learning with visualizations helps: A meta-analysis of visualization interventions in mathematics education}, volume={45}, DOI={<a href=\"https://doi.org/10.1016/j.edurev.2024.100639\">10.1016/j.edurev.2024.100639</a>}, number={100639}, journal={Educational Research Review}, publisher={Elsevier BV}, author={Schönherr, Johanna and Strohmaier, Anselm R. and Schukajlow, Stanislaw}, year={2024} }","apa":"Schönherr, J., Strohmaier, A. R., &#38; Schukajlow, S. (2024). Learning with visualizations helps: A meta-analysis of visualization interventions in mathematics education. <i>Educational Research Review</i>, <i>45</i>, Article 100639. <a href=\"https://doi.org/10.1016/j.edurev.2024.100639\">https://doi.org/10.1016/j.edurev.2024.100639</a>","chicago":"Schönherr, Johanna, Anselm R. Strohmaier, and Stanislaw Schukajlow. “Learning with Visualizations Helps: A Meta-Analysis of Visualization Interventions in Mathematics Education.” <i>Educational Research Review</i> 45 (2024). <a href=\"https://doi.org/10.1016/j.edurev.2024.100639\">https://doi.org/10.1016/j.edurev.2024.100639</a>.","ieee":"J. Schönherr, A. R. Strohmaier, and S. Schukajlow, “Learning with visualizations helps: A meta-analysis of visualization interventions in mathematics education,” <i>Educational Research Review</i>, vol. 45, Art. no. 100639, 2024, doi: <a href=\"https://doi.org/10.1016/j.edurev.2024.100639\">10.1016/j.edurev.2024.100639</a>.","ama":"Schönherr J, Strohmaier AR, Schukajlow S. Learning with visualizations helps: A meta-analysis of visualization interventions in mathematics education. <i>Educational Research Review</i>. 2024;45. doi:<a href=\"https://doi.org/10.1016/j.edurev.2024.100639\">10.1016/j.edurev.2024.100639</a>"},"year":"2024"},{"title":"Anxiety Moderates the Effects of Drawing Support on Drawing Accuracy in Mathematical Modeling","doi":"10.1007/978-3-031-71291-3_26","date_updated":"2025-05-27T12:15:57Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Johanna","last_name":"Schönherr","full_name":"Schönherr, Johanna","id":"99409"},{"full_name":"Mayer, Richard E.","last_name":"Mayer","first_name":"Richard E."}],"date_created":"2024-09-24T18:03:42Z","year":"2024","place":"Cham","citation":{"chicago":"Schönherr, Johanna, and Richard E. Mayer. “Anxiety Moderates the Effects of Drawing Support on Drawing Accuracy in Mathematical Modeling.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-71291-3_26\">https://doi.org/10.1007/978-3-031-71291-3_26</a>.","ieee":"J. Schönherr and R. E. Mayer, “Anxiety Moderates the Effects of Drawing Support on Drawing Accuracy in Mathematical Modeling,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2024.","ama":"Schönherr J, Mayer RE. Anxiety Moderates the Effects of Drawing Support on Drawing Accuracy in Mathematical Modeling. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2024. doi:<a href=\"https://doi.org/10.1007/978-3-031-71291-3_26\">10.1007/978-3-031-71291-3_26</a>","short":"J. Schönherr, R.E. 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Berlin: Querverlag, 2024, pp. 9–17.","chicago":"Vukadinovic, Vojin Sasa. “Vorwort zur zweiten Auflage.” In <i>Freiheit ist keine Metapher. Antisemitismus, Migration, Rassismus, Religionskritik</i>, edited by Vojin Saša Vukadinović, 2nd ed., 9–17. Berlin: Querverlag, 2024."},"place":"Berlin","year":"2024"},{"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:sec>\r\n                <jats:title>Purpose</jats:title>\r\n                <jats:p>Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardiorespiratory fitness. To ensure consistent performance of each test, it is necessary to adapt the power increase of the test protocol to the physical characteristics of each individual. This study aimed to use machine learning models to determine individualized ramp protocols based on non-exercise features. We hypothesized that machine learning models will predict peak oxygen uptake (<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\dot{V}$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                    <mml:mover>\r\n                      <mml:mi>V</mml:mi>\r\n                      <mml:mo>˙</mml:mo>\r\n                    </mml:mover>\r\n                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub>) and peak power output (PPO) more accurately than conventional multiple linear regression (MLR).</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Methods</jats:title>\r\n                <jats:p>The cross-sectional study was conducted with 274 (♀168, ♂106) participants who performed CPET on a cycle ergometer. Machine learning models and multiple linear regression were used to predict <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\dot{V}$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                    <mml:mover>\r\n                      <mml:mi>V</mml:mi>\r\n                      <mml:mo>˙</mml:mo>\r\n                    </mml:mover>\r\n                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> and PPO using non-exercise features. The accuracy of the models was compared using criteria such as root mean square error (RMSE). Shapley additive explanation (SHAP) was applied to determine the feature importance.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Results</jats:title>\r\n                <jats:p>The most accurate machine learning model was the random forest (RMSE: 6.52 ml/kg/min [95% CI 5.21–8.17]) for <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\dot{V}$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                    <mml:mover>\r\n                      <mml:mi>V</mml:mi>\r\n                      <mml:mo>˙</mml:mo>\r\n                    </mml:mover>\r\n                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> prediction and the gradient boosting regression (RMSE: 43watts [95% CI 35–52]) for PPO prediction. Compared to the MLR, the machine learning models reduced the RMSE by up to 28% and 22% for prediction of <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\dot{V}$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                    <mml:mover>\r\n                      <mml:mi>V</mml:mi>\r\n                      <mml:mo>˙</mml:mo>\r\n                    </mml:mover>\r\n                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> and PPO, respectively. Furthermore, SHAP ranked body composition data such as skeletal muscle mass and extracellular water as the most impactful features.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Conclusion</jats:title>\r\n                <jats:p>Machine learning models predict <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\dot{V}$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                    <mml:mover>\r\n                      <mml:mi>V</mml:mi>\r\n                      <mml:mo>˙</mml:mo>\r\n                    </mml:mover>\r\n                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> and PPO more accurately than MLR and can be used to individualize CPET protocols. Features that provide information about the participant's body composition contribute most to the improvement of these predictions.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Trial registration number</jats:title>\r\n                <jats:p>DRKS00031401 (6 March 2023, retrospectively registered).</jats:p>\r\n              </jats:sec>"}],"status":"public","publication":"European Journal of Applied Physiology","type":"journal_article","language":[{"iso":"eng"}],"extern":"1","_id":"60047","user_id":"117661","year":"2024","intvolume":"       124","page":"3421-3431","citation":{"short":"C. Wenzel, T. Liebig, A. Swoboda, R. Smolareck, M.L. Schlagheck, D. Walzik, A. Groll, R.P. Goulding, P. Zimmer, European Journal of Applied Physiology 124 (2024) 3421–3431.","bibtex":"@article{Wenzel_Liebig_Swoboda_Smolareck_Schlagheck_Walzik_Groll_Goulding_Zimmer_2024, title={Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features}, volume={124}, DOI={<a href=\"https://doi.org/10.1007/s00421-024-05543-x\">10.1007/s00421-024-05543-x</a>}, number={11}, journal={European Journal of Applied Physiology}, publisher={Springer Science and Business Media LLC}, author={Wenzel, Charlotte and Liebig, Thomas and Swoboda, Adrian and Smolareck, Rika and Schlagheck, Marit Lea and Walzik, David and Groll, Andreas and Goulding, Richie P. and Zimmer, Philipp}, year={2024}, pages={3421–3431} }","mla":"Wenzel, Charlotte, et al. “Machine Learning Predicts Peak Oxygen Uptake and Peak Power Output for Customizing Cardiopulmonary Exercise Testing Using Non-Exercise Features.” <i>European Journal of Applied Physiology</i>, vol. 124, no. 11, Springer Science and Business Media LLC, 2024, pp. 3421–31, doi:<a href=\"https://doi.org/10.1007/s00421-024-05543-x\">10.1007/s00421-024-05543-x</a>.","apa":"Wenzel, C., Liebig, T., Swoboda, A., Smolareck, R., Schlagheck, M. L., Walzik, D., Groll, A., Goulding, R. P., &#38; Zimmer, P. (2024). Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features. <i>European Journal of Applied Physiology</i>, <i>124</i>(11), 3421–3431. <a href=\"https://doi.org/10.1007/s00421-024-05543-x\">https://doi.org/10.1007/s00421-024-05543-x</a>","ama":"Wenzel C, Liebig T, Swoboda A, et al. Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features. <i>European Journal of Applied Physiology</i>. 2024;124(11):3421-3431. doi:<a href=\"https://doi.org/10.1007/s00421-024-05543-x\">10.1007/s00421-024-05543-x</a>","chicago":"Wenzel, Charlotte, Thomas Liebig, Adrian Swoboda, Rika Smolareck, Marit Lea Schlagheck, David Walzik, Andreas Groll, Richie P. Goulding, and Philipp Zimmer. “Machine Learning Predicts Peak Oxygen Uptake and Peak Power Output for Customizing Cardiopulmonary Exercise Testing Using Non-Exercise Features.” <i>European Journal of Applied Physiology</i> 124, no. 11 (2024): 3421–31. <a href=\"https://doi.org/10.1007/s00421-024-05543-x\">https://doi.org/10.1007/s00421-024-05543-x</a>.","ieee":"C. Wenzel <i>et al.</i>, “Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features,” <i>European Journal of Applied Physiology</i>, vol. 124, no. 11, pp. 3421–3431, 2024, doi: <a href=\"https://doi.org/10.1007/s00421-024-05543-x\">10.1007/s00421-024-05543-x</a>."},"publication_identifier":{"issn":["1439-6319","1439-6327"]},"publication_status":"published","issue":"11","title":"Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features","doi":"10.1007/s00421-024-05543-x","date_updated":"2025-06-02T09:34:21Z","publisher":"Springer Science and Business Media LLC","volume":124,"date_created":"2025-05-27T07:54:52Z","author":[{"first_name":"Charlotte","full_name":"Wenzel, Charlotte","last_name":"Wenzel"},{"first_name":"Thomas","full_name":"Liebig, Thomas","last_name":"Liebig"},{"first_name":"Adrian","full_name":"Swoboda, Adrian","last_name":"Swoboda"},{"first_name":"Rika","last_name":"Smolareck","full_name":"Smolareck, Rika"},{"last_name":"Schlagheck","orcid":"0000-0002-8913-6080 ","id":"117661","full_name":"Schlagheck, Marit Lea","first_name":"Marit Lea"},{"last_name":"Walzik","full_name":"Walzik, David","first_name":"David"},{"first_name":"Andreas","full_name":"Groll, Andreas","last_name":"Groll"},{"full_name":"Goulding, Richie P.","last_name":"Goulding","first_name":"Richie P."},{"first_name":"Philipp","last_name":"Zimmer","full_name":"Zimmer, Philipp"}]},{"_id":"60086","user_id":"89059","language":[{"iso":"eng"}],"type":"misc","status":"public","publisher":"International Conference on Smart Energy Systems","date_updated":"2025-06-02T08:16:17Z","date_created":"2025-06-02T08:16:09Z","author":[{"first_name":"Denis","last_name":"Divkovic","full_name":"Divkovic, Denis","id":"89059"},{"first_name":"Julia","id":"98813","full_name":"Kirschbaum, Julia","last_name":"Kirschbaum"},{"first_name":"Henning Christoph","full_name":"Rahlf, Henning Christoph","id":"56955","last_name":"Rahlf","orcid":"0009-0006-8106-2132"},{"id":"90391","full_name":"Knorr, Lukas","last_name":"Knorr","first_name":"Lukas"},{"first_name":"Henning","last_name":"Meschede","orcid":"0000-0002-1538-089X","full_name":"Meschede, Henning","id":"86954"}],"supervisor":[{"full_name":"Meschede, Henning","id":"86954","last_name":"Meschede","orcid":"0000-0002-1538-089X","first_name":"Henning"}],"title":"Optimising Heat Planning: Cost effective heat planning for low carbon district heating","place":"Aalborg","year":"2024","citation":{"ama":"Divkovic D, Kirschbaum J, Rahlf HC, Knorr L, Meschede H. <i>Optimising Heat Planning: Cost Effective Heat Planning for Low Carbon District Heating</i>. International Conference on Smart Energy Systems; 2024.","chicago":"Divkovic, Denis, Julia Kirschbaum, Henning Christoph Rahlf, Lukas Knorr, and Henning Meschede. <i>Optimising Heat Planning: Cost Effective Heat Planning for Low Carbon District Heating</i>. Aalborg: International Conference on Smart Energy Systems, 2024.","ieee":"D. Divkovic, J. Kirschbaum, H. C. Rahlf, L. Knorr, and H. Meschede, <i>Optimising Heat Planning: Cost effective heat planning for low carbon district heating</i>. Aalborg: International Conference on Smart Energy Systems, 2024.","apa":"Divkovic, D., Kirschbaum, J., Rahlf, H. C., Knorr, L., &#38; Meschede, H. (2024). <i>Optimising Heat Planning: Cost effective heat planning for low carbon district heating</i>. International Conference on Smart Energy Systems.","short":"D. Divkovic, J. Kirschbaum, H.C. Rahlf, L. Knorr, H. Meschede, Optimising Heat Planning: Cost Effective Heat Planning for Low Carbon District Heating, International Conference on Smart Energy Systems, Aalborg, 2024.","bibtex":"@book{Divkovic_Kirschbaum_Rahlf_Knorr_Meschede_2024, place={Aalborg}, title={Optimising Heat Planning: Cost effective heat planning for low carbon district heating}, publisher={International Conference on Smart Energy Systems}, author={Divkovic, Denis and Kirschbaum, Julia and Rahlf, Henning Christoph and Knorr, Lukas and Meschede, Henning}, year={2024} }","mla":"Divkovic, Denis, et al. <i>Optimising Heat Planning: Cost Effective Heat Planning for Low Carbon District Heating</i>. International Conference on Smart Energy Systems, 2024."}}]