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Petersen (Eds.), <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i> (p. 42:1-42:3). ACM. <a href=\"https://doi.org/10.1145/3488042.3490510\">https://doi.org/10.1145/3488042.3490510</a>","bibtex":"@inproceedings{Hüsing_2021, title={Epistemic Programming - An insight-driven programming concept for Data Science}, DOI={<a href=\"https://doi.org/10.1145/3488042.3490510\">10.1145/3488042.3490510</a>}, booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM}, author={Hüsing, Sven}, editor={Seppälä, Otto and Petersen, Andrew}, year={2021}, pages={42:1-42:3} }","chicago":"Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept for Data Science.” In <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i>, edited by Otto Seppälä and Andrew Petersen, 42:1-42:3. ACM, 2021. <a href=\"https://doi.org/10.1145/3488042.3490510\">https://doi.org/10.1145/3488042.3490510</a>.","short":"S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.","ama":"Hüsing S. Epistemic Programming - An insight-driven programming concept for Data Science. In: Seppälä O, Petersen A, eds. <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i>. ACM; 2021:42:1-42:3. doi:<a href=\"https://doi.org/10.1145/3488042.3490510\">10.1145/3488042.3490510</a>"},"publication":"Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021","department":[{"_id":"67"}],"type":"conference","date_created":"2021-11-16T08:15:11Z"},{"editor":[{"last_name":"Humbert","first_name":"Ludger","full_name":"Humbert, Ludger"}],"volume":"P-313","doi":"10.18420/infos2021\\_w283","user_id":"21145","_id":"27495","language":[{"iso":"ger"}],"series_title":"LNI","publisher":"Gesellschaft für Informatik, Bonn","page":"319","date_updated":"2022-01-06T06:57:40Z","author":[{"last_name":"Bovermann","first_name":"Klaus","full_name":"Bovermann, Klaus"},{"full_name":"Fleischer, Yannik","first_name":"Yannik","last_name":"Fleischer"},{"last_name":"Hüsing","first_name":"Sven","full_name":"Hüsing, Sven","id":"58465"},{"full_name":"Opitz, Christian","last_name":"Opitz","first_name":"Christian"}],"title":"Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen","year":"2021","status":"public","department":[{"_id":"67"}],"type":"conference","date_created":"2021-11-16T08:16:32Z","citation":{"ieee":"K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,” in <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>, 2021, vol. P-313, p. 319, doi: <a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>.","mla":"Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen.” <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:<a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>.","apa":"Bovermann, K., Fleischer, Y., Hüsing, S., &#38; Opitz, C. (2021). Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In L. Humbert (Ed.), <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313</i> (p. 319). Gesellschaft für Informatik, Bonn. <a href=\"https://doi.org/10.18420/infos2021\\_w283\">https://doi.org/10.18420/infos2021\\_w283</a>","bibtex":"@inproceedings{Bovermann_Fleischer_Hüsing_Opitz_2021, series={LNI}, title={Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen}, volume={P-313}, DOI={<a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>}, booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Bovermann, Klaus and Fleischer, Yannik and Hüsing, Sven and Opitz, Christian}, editor={Humbert, Ludger}, year={2021}, pages={319}, collection={LNI} }","short":"K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.","ama":"Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert L, ed. <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319. doi:<a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>","chicago":"Bovermann, Klaus, Yannik Fleischer, Sven Hüsing, and Christian Opitz. “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen.” In <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>, edited by Ludger Humbert, P-313:319. LNI. Gesellschaft für Informatik, Bonn, 2021. <a href=\"https://doi.org/10.18420/infos2021\\_w283\">https://doi.org/10.18420/infos2021\\_w283</a>."},"publication":"19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021"},{"date_created":"2021-11-16T13:05:12Z","department":[{"_id":"75"}],"type":"dissertation","citation":{"ieee":"A. Hasnain, <i>Automating Network Resource Allocation for Coflows with Deadlines</i>. 2021.","apa":"Hasnain, A. (2021). <i>Automating Network Resource Allocation for Coflows with Deadlines</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1241 \">https://doi.org/10.17619/UNIPB/1-1241 </a>","chicago":"Hasnain, Asif. <i>Automating Network Resource Allocation for Coflows with Deadlines</i>, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1241 \">https://doi.org/10.17619/UNIPB/1-1241 </a>.","short":"A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines, 2021.","mla":"Hasnain, Asif. <i>Automating Network Resource Allocation for Coflows with Deadlines</i>. 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1241 \">10.17619/UNIPB/1-1241 </a>.","bibtex":"@book{Hasnain_2021, title={Automating Network Resource Allocation for Coflows with Deadlines}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1241 \">10.17619/UNIPB/1-1241 </a>}, author={Hasnain, Asif}, year={2021} }","ama":"Hasnain A. <i>Automating Network Resource Allocation for Coflows with Deadlines</i>.; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1241 \">10.17619/UNIPB/1-1241 </a>"},"supervisor":[{"last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"language":[{"iso":"eng"}],"_id":"27503","user_id":"15504","doi":"10.17619/UNIPB/1-1241 ","author":[{"full_name":"Hasnain, Asif","first_name":"Asif","last_name":"Hasnain"}],"year":"2021","title":"Automating Network Resource Allocation for Coflows with Deadlines","status":"public","date_updated":"2022-01-06T06:57:40Z"},{"author":[{"full_name":"Spath, Dieter","first_name":"Dieter","last_name":"Spath"},{"full_name":"Gausemeier, Jürgen","last_name":"Gausemeier","first_name":"Jürgen","id":"163"},{"id":"16190","first_name":"Roman","last_name":"Dumitrescu","full_name":"Dumitrescu, Roman"},{"last_name":"Winter","first_name":"Johannes","full_name":"Winter, Johannes"},{"full_name":"Steglich, Steffen","last_name":"Steglich","first_name":"Steffen"},{"full_name":"Drewel, Marvin","first_name":"Marvin","last_name":"Drewel"}],"year":"2021","title":"Digitalisation of Society","status":"public","date_updated":"2022-01-06T06:57:40Z","publication_status":"published","_id":"27504","publisher":"Springer, Cham","language":[{"iso":"eng"}],"page":"2-27","editor":[{"first_name":"Anja","last_name":"Maier","full_name":"Maier, Anja"},{"last_name":"Oehmen","first_name":"Josef","full_name":"Oehmen, Josef"},{"first_name":"Pieter E.","last_name":"Vermaas","full_name":"Vermaas, Pieter E."}],"user_id":"15782","citation":{"mla":"Spath, Dieter, et al. “Digitalisation of Society.” <i> Handbook of Engineering Systems Design</i>, edited by Anja Maier et al., Springer, Cham, 2021, pp. 2–27.","bibtex":"@inbook{Spath_Gausemeier_Dumitrescu_Winter_Steglich_Drewel_2021, title={Digitalisation of Society}, booktitle={ Handbook of Engineering Systems Design}, publisher={Springer, Cham}, author={Spath, Dieter and Gausemeier, Jürgen and Dumitrescu, Roman and Winter, Johannes and Steglich, Steffen and Drewel, Marvin}, editor={Maier, Anja and Oehmen, Josef and Vermaas, Pieter E.}, year={2021}, pages={2–27} }","ama":"Spath D, Gausemeier J, Dumitrescu R, Winter J, Steglich S, Drewel M. Digitalisation of Society. In: Maier A, Oehmen J, Vermaas PE, eds. <i> Handbook of Engineering Systems Design</i>. Springer, Cham; 2021:2-27.","ieee":"D. Spath, J. Gausemeier, R. Dumitrescu, J. Winter, S. Steglich, and M. Drewel, “Digitalisation of Society,” in <i> Handbook of Engineering Systems Design</i>, A. Maier, J. Oehmen, and P. E. Vermaas, Eds. Springer, Cham, 2021, pp. 2–27.","apa":"Spath, D., Gausemeier, J., Dumitrescu, R., Winter, J., Steglich, S., &#38; Drewel, M. (2021). Digitalisation of Society. In A. Maier, J. Oehmen, &#38; P. E. Vermaas (Eds.), <i> Handbook of Engineering Systems Design</i> (pp. 2–27). Springer, Cham.","chicago":"Spath, Dieter, Jürgen Gausemeier, Roman Dumitrescu, Johannes Winter, Steffen Steglich, and Marvin Drewel. “Digitalisation of Society.” In <i> Handbook of Engineering Systems Design</i>, edited by Anja Maier, Josef Oehmen, and Pieter E. Vermaas, 2–27. Springer, Cham, 2021.","short":"D. Spath, J. Gausemeier, R. Dumitrescu, J. Winter, S. Steglich, M. Drewel, in: A. Maier, J. Oehmen, P.E. Vermaas (Eds.),  Handbook of Engineering Systems Design, Springer, Cham, 2021, pp. 2–27."},"publication":" Handbook of Engineering Systems Design","date_created":"2021-11-16T14:09:25Z","department":[{"_id":"563"}],"type":"book_chapter"},{"type":"journal_article","department":[{"_id":"146"},{"_id":"624"}],"date_created":"2021-11-17T15:51:29Z","abstract":[{"lang":"eng","text":"<p>Inhalt Additive Fertigungsverfahren bieten große Vorteile in der Bauteilgestaltung, können aufgrund ihrer Verfahrenseigenschaften aber auch zu einer Erhöhung der Bauteilfunktionalität beitragen. Mit dem Laser-Strahlschmelzen lassen sich Partikeldämpfer direkt im Fertigungsprozess in die Bauteile integrieren und an die vorliegenden Randbedingungen anpassen. Hierzu wird eine experimentelle Methode basierend auf der komplexen mechanischen Leistung vorgestellt. Aus Kennfeldern werden für unterschiedliche geometrische Einflüsse erste Konstruktionsregeln abgeleitet, die in der Anwendung im Konstruktionsprozess als eine Hilfestellung zur Erhöhung der Bauteildämpfung zur Reduzierung unerwünschter Schwingungen dienen.</p>"}],"publication":"Konstruktion","citation":{"ieee":"T. Künneke and D. Zimmer, “Konstruktionsregeln für additiv gefertigte Partikeldämpfer/Design rules for additive manufactured particle dampers,” <i>Konstruktion</i>, pp. 72–78, 2021, doi: <a href=\"https://doi.org/10.37544/0720-5953-2021-11-12-72\">10.37544/0720-5953-2021-11-12-72</a>.","mla":"Künneke, Thomas, and Detmar Zimmer. “Konstruktionsregeln Für Additiv Gefertigte Partikeldämpfer/Design Rules for Additive Manufactured Particle Dampers.” <i>Konstruktion</i>, 2021, pp. 72–78, doi:<a href=\"https://doi.org/10.37544/0720-5953-2021-11-12-72\">10.37544/0720-5953-2021-11-12-72</a>.","apa":"Künneke, T., &#38; Zimmer, D. (2021). Konstruktionsregeln für additiv gefertigte Partikeldämpfer/Design rules for additive manufactured particle dampers. <i>Konstruktion</i>, 72–78. <a href=\"https://doi.org/10.37544/0720-5953-2021-11-12-72\">https://doi.org/10.37544/0720-5953-2021-11-12-72</a>","bibtex":"@article{Künneke_Zimmer_2021, title={Konstruktionsregeln für additiv gefertigte Partikeldämpfer/Design rules for additive manufactured particle dampers}, DOI={<a href=\"https://doi.org/10.37544/0720-5953-2021-11-12-72\">10.37544/0720-5953-2021-11-12-72</a>}, journal={Konstruktion}, author={Künneke, Thomas and Zimmer, Detmar}, year={2021}, pages={72–78} }","short":"T. Künneke, D. Zimmer, Konstruktion (2021) 72–78.","ama":"Künneke T, Zimmer D. Konstruktionsregeln für additiv gefertigte Partikeldämpfer/Design rules for additive manufactured particle dampers. <i>Konstruktion</i>. Published online 2021:72-78. doi:<a href=\"https://doi.org/10.37544/0720-5953-2021-11-12-72\">10.37544/0720-5953-2021-11-12-72</a>","chicago":"Künneke, Thomas, and Detmar Zimmer. “Konstruktionsregeln Für Additiv Gefertigte Partikeldämpfer/Design Rules for Additive Manufactured Particle Dampers.” <i>Konstruktion</i>, 2021, 72–78. <a href=\"https://doi.org/10.37544/0720-5953-2021-11-12-72\">https://doi.org/10.37544/0720-5953-2021-11-12-72</a>."},"user_id":"13226","doi":"10.37544/0720-5953-2021-11-12-72","page":"72-78","_id":"27528","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2022-01-06T06:57:40Z","year":"2021","status":"public","title":"Konstruktionsregeln für additiv gefertigte Partikeldämpfer/Design rules for additive manufactured particle dampers","author":[{"id":"13226","full_name":"Künneke, Thomas","last_name":"Künneke","first_name":"Thomas"},{"full_name":"Zimmer, Detmar","first_name":"Detmar","last_name":"Zimmer","id":"604"}],"publication_identifier":{"issn":["0720-5953"]}},{"status":"public","year":"2021","title":"Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts","publication_identifier":{"issn":["1422-4917","1664-2880"]},"author":[{"full_name":"Hirtz, Raphael","last_name":"Hirtz","first_name":"Raphael"},{"full_name":"Zheng, Yiran","last_name":"Zheng","first_name":"Yiran"},{"full_name":"Rajcsanyi, Luisa S.","first_name":"Luisa S.","last_name":"Rajcsanyi"},{"id":"88682","orcid":"0000-0003-1603-3133","first_name":"Lars","last_name":"Libuda","full_name":"Libuda, Lars"},{"full_name":"Antel, Jochen","first_name":"Jochen","last_name":"Antel"},{"first_name":"Triinu","last_name":"Peters","full_name":"Peters, Triinu"},{"full_name":"Hebebrand, Johannes","first_name":"Johannes","last_name":"Hebebrand"},{"last_name":"Hinney","first_name":"Anke","full_name":"Hinney, Anke"}],"date_updated":"2022-01-06T06:57:42Z","publication_status":"published","_id":"27572","language":[{"iso":"ger"}],"doi":"10.1024/1422-4917/a000829","user_id":"49428","publication":"Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie","citation":{"bibtex":"@article{Hirtz_Zheng_Rajcsanyi_Libuda_Antel_Peters_Hebebrand_Hinney_2021, title={Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts}, DOI={<a href=\"https://doi.org/10.1024/1422-4917/a000829\">10.1024/1422-4917/a000829</a>}, journal={Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie}, author={Hirtz, Raphael and Zheng, Yiran and Rajcsanyi, Luisa S. and Libuda, Lars and Antel, Jochen and Peters, Triinu and Hebebrand, Johannes and Hinney, Anke}, year={2021} }","ama":"Hirtz R, Zheng Y, Rajcsanyi LS, et al. Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts. <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>. Published online 2021. doi:<a href=\"https://doi.org/10.1024/1422-4917/a000829\">10.1024/1422-4917/a000829</a>","mla":"Hirtz, Raphael, et al. “Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts.” <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, 2021, doi:<a href=\"https://doi.org/10.1024/1422-4917/a000829\">10.1024/1422-4917/a000829</a>.","chicago":"Hirtz, Raphael, Yiran Zheng, Luisa S. Rajcsanyi, Lars Libuda, Jochen Antel, Triinu Peters, Johannes Hebebrand, and Anke Hinney. “Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts.” <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, 2021. <a href=\"https://doi.org/10.1024/1422-4917/a000829\">https://doi.org/10.1024/1422-4917/a000829</a>.","short":"R. Hirtz, Y. Zheng, L.S. Rajcsanyi, L. Libuda, J. Antel, T. Peters, J. Hebebrand, A. Hinney, Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie (2021).","ieee":"R. Hirtz <i>et al.</i>, “Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts,” <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, 2021, doi: <a href=\"https://doi.org/10.1024/1422-4917/a000829\">10.1024/1422-4917/a000829</a>.","apa":"Hirtz, R., Zheng, Y., Rajcsanyi, L. S., Libuda, L., Antel, J., Peters, T., Hebebrand, J., &#38; Hinney, A. (2021). Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts. <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>. <a href=\"https://doi.org/10.1024/1422-4917/a000829\">https://doi.org/10.1024/1422-4917/a000829</a>"},"abstract":[{"lang":"eng","text":"<jats:p> Zusammenfassung. Genetische Varianten beeinflussen die Gewichtsregulation und die Entwicklung von Essstörungen. Zunächst haben familienbasierte, sogenannte formalgenetische Studien den erblichen Anteil an der Gewichtsregulation und an der Ätiologie von Essstörungen beleuchtet. In einer Vielzahl von Studien zeigten sich sowohl für die Varianz des Körpergewichts als auch für die Entstehung von Essstörungen Erblichkeitsschätzer (Heritabilitätsraten) von über 50 %. Mit diesem Wissen begab man sich in den 90er-Jahren des letzten Jahrhunderts auf die Suche nach den zugrundeliegenden Genen (genauer: genetischen Varianten), die das Körpergewicht, das Essverhalten oder beide Phänotypen auf Grundlage geteilter Mechanismen beeinflussen. Zunächst wurden Kandidatengenstudien durchgeführt. Dabei untersuchte man auf Grundlage unterschiedlicher, v. a. aber pathophysiologisch plausibler Überlegungen Gene mit hoher Relevanz für die untersuchten Phänotypen. Dieser Ansatz war für Essstörungen nicht sehr erfolgreich, für die Gewichtsregulation konnte eine Handvoll Gene identifiziert werden. Verbunden mit großen methodischen Fortschritten in der genetischen Forschung und v. a. der Etablierung sogenannter genomweiter Assoziationsstudien (GWAS) Anfang der 2000er-Jahre konnten bislang über 1000 Varianten/Genorte detektiert werden, die das Körpergewicht beeinflussen. Für die Essstörung Anorexia nervosa (AN) sind aktuell acht solcher Genorte beschrieben. Diese Ergebnisse, aber auch aktuelle Ansätze zu phänotypübergreifenden Analysen lassen Einblicke in die komplexe Regulation des Körpergewichtes zu und haben zudem unerwartete Pathomechanismen für AN aufgezeigt. </jats:p>"}],"date_created":"2021-11-18T19:30:20Z","type":"journal_article","department":[{"_id":"35"},{"_id":"22"},{"_id":"395"}]},{"user_id":"49428","doi":"10.1024/1422-4917/a000807","language":[{"iso":"ger"}],"_id":"27573","page":"1-10","publication_status":"published","date_updated":"2022-01-06T06:57:42Z","author":[{"full_name":"Libuda, Lars","orcid":"0000-0003-1603-3133","first_name":"Lars","last_name":"Libuda","id":"88682"},{"full_name":"Hebebrand, Johannes","first_name":"Johannes","last_name":"Hebebrand"},{"full_name":"Föcker, Manuel","first_name":"Manuel","last_name":"Föcker"},{"first_name":"Triinu","last_name":"Peters","full_name":"Peters, Triinu"},{"full_name":"Hinney, Anke","first_name":"Anke","last_name":"Hinney"}],"publication_identifier":{"issn":["1422-4917","1664-2880"]},"title":"Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken","year":"2021","status":"public","department":[{"_id":"35"},{"_id":"22"},{"_id":"395"}],"type":"journal_article","date_created":"2021-11-18T19:33:20Z","abstract":[{"text":"<jats:p> Zusammenfassung. Einleitung: Klassische ernährungsepidemiologische Studien (Beobachtungsstudien und randomisierte Interventionsstudien) zeigen, dass die Ernährung ein wichtiger Ansatzpunkt für die Prävention und Therapie psychischer Störungen sein könnte. Diese Studientypen haben allerdings Limitationen, die bei der Ergebnisinterpretation berücksichtigt werden müssen. In dieser narrativen übersichtsarbeit wird beschrieben, wie genetische Studien ein Bindeglied darstellen können, um einen Zusammenhang zwischen Ernährung und psychischen Störungen herzustellen. Methodik: Im Artikel werden verschiedene Ansätze genetischer phänotypübergreifender Analysen sowie Beispiele für deren Anwendungen in der ernährungspsychiatrischen Forschung beschrieben. Darüber hinaus werden spezifische Voraussetzungen sowie Stärken und Schwächen diskutiert. Ergebnisse: Als Methoden genetischer phänotypübergreifender Analysen sind im Rahmen ernährungspsychiatrischer Forschung bislang genetische Korrelationsanalysen, Look-up-Analysen sowie Mendelsche Randomisierungsstudien (MR-Studien) eingesetzt worden. Genetische Korrelationsanalysen und Look-up-Analysen geben erste Hinweise auf mögliche genetische überlappungen zwischen einer psychischen Störung und einem Stoffwechselweg und/oder der Versorgung mit einem spezifischen Nährstoff. MR-Studien sind weitergehende Detailanalysen mit dem Ziel, Kausalzusammenhänge zu identifizieren, beinhalten allerdings sehr spezifische Grundvoraussetzungen für ihre Durchführung. Schlussfolgerung: Genetische phänotypübergreifende Analysen sind eine sinnvolle Ergänzung der klassischen Ernährungsepidemiologie. Insbesondere signifikante Ergebnisse von MR-Studien sind eine wichtige Grundlage zur Entwicklung geeigneter Ernährungsinterventionen, die in nachfolgenden randomisiert kontrollierten Interventionsstudien mit deutlich erhöhter Erfolgsaussicht getestet werden können. Sie sind somit wichtige Instrumente einer effizienten ernährungspsychiatrischen Forschung. </jats:p>","lang":"eng"}],"citation":{"mla":"Libuda, Lars, et al. “Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken.” <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, 2021, pp. 1–10, doi:<a href=\"https://doi.org/10.1024/1422-4917/a000807\">10.1024/1422-4917/a000807</a>.","bibtex":"@article{Libuda_Hebebrand_Föcker_Peters_Hinney_2021, title={Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken}, DOI={<a href=\"https://doi.org/10.1024/1422-4917/a000807\">10.1024/1422-4917/a000807</a>}, journal={Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie}, author={Libuda, Lars and Hebebrand, Johannes and Föcker, Manuel and Peters, Triinu and Hinney, Anke}, year={2021}, pages={1–10} }","ama":"Libuda L, Hebebrand J, Föcker M, Peters T, Hinney A. Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken. <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>. Published online 2021:1-10. doi:<a href=\"https://doi.org/10.1024/1422-4917/a000807\">10.1024/1422-4917/a000807</a>","ieee":"L. Libuda, J. Hebebrand, M. Föcker, T. Peters, and A. Hinney, “Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken,” <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, pp. 1–10, 2021, doi: <a href=\"https://doi.org/10.1024/1422-4917/a000807\">10.1024/1422-4917/a000807</a>.","apa":"Libuda, L., Hebebrand, J., Föcker, M., Peters, T., &#38; Hinney, A. (2021). Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken. <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, 1–10. <a href=\"https://doi.org/10.1024/1422-4917/a000807\">https://doi.org/10.1024/1422-4917/a000807</a>","short":"L. Libuda, J. Hebebrand, M. Föcker, T. Peters, A. Hinney, Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie (2021) 1–10.","chicago":"Libuda, Lars, Johannes Hebebrand, Manuel Föcker, Triinu Peters, and Anke Hinney. “Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken.” <i>Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie</i>, 2021, 1–10. <a href=\"https://doi.org/10.1024/1422-4917/a000807\">https://doi.org/10.1024/1422-4917/a000807</a>."},"publication":"Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie"},{"date_created":"2021-11-18T19:35:06Z","type":"journal_article","department":[{"_id":"35"},{"_id":"22"},{"_id":"395"}],"publication":"Frontiers in Endocrinology","citation":{"ieee":"R. Hirtz <i>et al.</i>, “Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression,” <i>Frontiers in Endocrinology</i>, 2021, doi: <a href=\"https://doi.org/10.3389/fendo.2021.662243\">10.3389/fendo.2021.662243</a>.","apa":"Hirtz, R., Libuda, L., Hinney, A., Föcker, M., Bühlmeier, J., Antel, J., Holterhus, P.-M., Kulle, A., Kiewert, C., Hebebrand, J., &#38; Grasemann, C. (2021). Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression. <i>Frontiers in Endocrinology</i>. <a href=\"https://doi.org/10.3389/fendo.2021.662243\">https://doi.org/10.3389/fendo.2021.662243</a>","chicago":"Hirtz, Raphael, Lars Libuda, Anke Hinney, Manuel Föcker, Judith Bühlmeier, Jochen Antel, Paul-Martin Holterhus, et al. “Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression.” <i>Frontiers in Endocrinology</i>, 2021. <a href=\"https://doi.org/10.3389/fendo.2021.662243\">https://doi.org/10.3389/fendo.2021.662243</a>.","short":"R. Hirtz, L. Libuda, A. Hinney, M. Föcker, J. Bühlmeier, J. Antel, P.-M. Holterhus, A. Kulle, C. Kiewert, J. Hebebrand, C. Grasemann, Frontiers in Endocrinology (2021).","mla":"Hirtz, Raphael, et al. “Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression.” <i>Frontiers in Endocrinology</i>, 2021, doi:<a href=\"https://doi.org/10.3389/fendo.2021.662243\">10.3389/fendo.2021.662243</a>.","bibtex":"@article{Hirtz_Libuda_Hinney_Föcker_Bühlmeier_Antel_Holterhus_Kulle_Kiewert_Hebebrand_et al._2021, title={Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression}, DOI={<a href=\"https://doi.org/10.3389/fendo.2021.662243\">10.3389/fendo.2021.662243</a>}, journal={Frontiers in Endocrinology}, author={Hirtz, Raphael and Libuda, Lars and Hinney, Anke and Föcker, Manuel and Bühlmeier, Judith and Antel, Jochen and Holterhus, Paul-Martin and Kulle, Alexandra and Kiewert, Cordula and Hebebrand, Johannes and et al.}, year={2021} }","ama":"Hirtz R, Libuda L, Hinney A, et al. Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression. <i>Frontiers in Endocrinology</i>. Published online 2021. doi:<a href=\"https://doi.org/10.3389/fendo.2021.662243\">10.3389/fendo.2021.662243</a>"},"abstract":[{"text":"<jats:p>In adults with major depressive disorder (MDD), a dysfunction between the hypothalamus-pituitary-adrenal (HPA) and the hypothalamus-pituitary-thyroid (HPT) axis has been shown, but the interaction of both axes has not yet been studied in adolescent major depressive disorder (MDD). Data from 273 adolescents diagnosed with MDD from two single center cross-sectional studies were used for analysis. Serum levels of thyrotropin (TSH), free levothyroxine (fT4), and cortisol were determined as indicators of basal HPT and HPA axis functioning and compared to that of adolescent controls by t-tests. Quantile regression was employed in the sample of adolescents with MDD to investigate the relationship between both axes in the normal as well as the pathological range of cortisol levels, considering confounders of both axes. In adolescent MDD, cortisol levels and TSH levels were significantly elevated in comparison to controls (<jats:italic>p</jats:italic> = &amp;lt;.001, <jats:italic>d</jats:italic> = 1.35, large effect size, and <jats:italic>p</jats:italic> = &amp;lt;.001, <jats:italic>d</jats:italic> = 0.79, moderate effect size, respectively). There was a positive linear relationship between TSH and cortisol (<jats:italic>p</jats:italic> = .003, <jats:italic>d</jats:italic> = 0.25, small effect size) at the median of cortisol levels (50<jats:sup>th</jats:sup> percentile). However, no relationship between TSH and cortisol was found in hypercortisolemia (cortisol levels at the 97.5<jats:sup>th</jats:sup> percentile). These findings imply that HPT and HPA axis dysfunction is common in adolescents with MDD and that function of both axes is only loosely related. Moreover, the regulation of the HPA and HPT axis are likely subjected to age-related maturational adjustments since findings of this study differ from those reported in adults.</jats:p>","lang":"eng"}],"_id":"27574","language":[{"iso":"eng"}],"doi":"10.3389/fendo.2021.662243","user_id":"49428","title":"Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression","status":"public","year":"2021","author":[{"full_name":"Hirtz, Raphael","last_name":"Hirtz","first_name":"Raphael"},{"id":"88682","full_name":"Libuda, Lars","last_name":"Libuda","orcid":"0000-0003-1603-3133","first_name":"Lars"},{"last_name":"Hinney","first_name":"Anke","full_name":"Hinney, Anke"},{"full_name":"Föcker, Manuel","first_name":"Manuel","last_name":"Föcker"},{"first_name":"Judith","last_name":"Bühlmeier","full_name":"Bühlmeier, Judith"},{"first_name":"Jochen","last_name":"Antel","full_name":"Antel, Jochen"},{"last_name":"Holterhus","first_name":"Paul-Martin","full_name":"Holterhus, Paul-Martin"},{"full_name":"Kulle, Alexandra","first_name":"Alexandra","last_name":"Kulle"},{"last_name":"Kiewert","first_name":"Cordula","full_name":"Kiewert, Cordula"},{"last_name":"Hebebrand","first_name":"Johannes","full_name":"Hebebrand, Johannes"},{"last_name":"Grasemann","first_name":"Corinna","full_name":"Grasemann, Corinna"}],"publication_identifier":{"issn":["1664-2392"]},"date_updated":"2022-01-06T06:57:42Z","publication_status":"published"},{"place":"Düsseldorf","citation":{"ama":"Aimiyekagbon OK, Bender A, Sextro W. Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . In: <i>VDI-Berichte 2391</i>. VDI Verlag GmbH; 2021:197-210.","bibtex":"@inproceedings{Aimiyekagbon_Bender_Sextro_2021, place={Düsseldorf}, title={Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten }, booktitle={VDI-Berichte 2391}, publisher={VDI Verlag GmbH}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}, year={2021}, pages={197–210} }","mla":"Aimiyekagbon, Osarenren Kennedy, et al. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” <i>VDI-Berichte 2391</i>, VDI Verlag GmbH, 2021, pp. 197–210.","short":"O.K. Aimiyekagbon, A. Bender, W. Sextro, in: VDI-Berichte 2391, VDI Verlag GmbH, Düsseldorf, 2021, pp. 197–210.","chicago":"Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” In <i>VDI-Berichte 2391</i>, 197–210. Düsseldorf: VDI Verlag GmbH, 2021.","apa":"Aimiyekagbon, O. K., Bender, A., &#38; Sextro, W. (2021). Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . <i>VDI-Berichte 2391</i>, 197–210.","ieee":"O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ,” in <i>VDI-Berichte 2391</i>, Würzburg, 2021, pp. 197–210."},"_id":"27652","publisher":"VDI Verlag GmbH","page":"197 - 210","user_id":"9557","conference":{"start_date":"2021-11-16","name":"3. VDI-Fachtagung  ","location":"Würzburg","end_date":"2021-11-17"},"status":"public","date_created":"2021-11-22T07:42:44Z","department":[{"_id":"151"}],"keyword":["run-to-failure","rubber-metal element","bearing prognostics","non-stationary operating conditions","varying operating conditions","feature extraction","feature selection"],"type":"conference","publication":"VDI-Berichte 2391","abstract":[{"lang":"ger","text":"Aufgrund der Fortschritte der Digitalisierung finden Systeme zur Zustandsüberwachung vermehrt Einsatz in der Industrie, um durch eine zustandsbasierte oder eine prädiktive Instandhaltung Vorteile, wie eine verbesserte Zuverlässigkeit und geringere Kosten zu erzielen. Dabei beruhen Zustandsüberwachungssysteme auf den folgenden Bausteinen: Sensorik, Datenvorverarbeitung, Merkmalsextraktion und -auswahl, Diagnose bzw. Prognose sowie einer Entscheidungsfindung basierend auf den Ergebnissen. Jeder dieser Bausteine erfordert individuelle Einstellungen, um ein geeignetes Zustandsüberwachungssystem für die jeweilige Anwendung zu entwickeln. Eine offene Fragestellung im Bereich der Zustandsüberwachung ergibt sich aufgrund der Unsicherheit der Zukunft, die sich in den zukünftigen Betriebs- und Umgebungsbedingungen zeigt. Diese Unsicherheit gilt es in allen Bausteinen zu berücksichtigen.\r\nDieser Beitrag konzentriert sich auf den Baustein Merkmalsextraktion und -selektion, mit dem Ziel anhand geeigneter Merkmale eine Prognose der nutzbaren Restlebensdauer mit hoher Genauigkeit realisieren zu können. Daher werden geeignete Merkmale aus dem Zeitbereich und daraus abgeleitete Zustandsindikatoren für die Restlebensdauerprognose von technischen Systemen vorgestellt. Dabei sind Zustandsindikatoren Kenngrößen zur Beobachtung des Zustands der kritischen Systemkomponenten. Anhand dreier Anwendungsbeispiele wird ihre Eignung evaluiert. Dabei werden Daten aus Lebensdauerversuchen unter instationären Betriebs- und Umgebungsbedingungen ausgewertet. Die auftretenden Unsicherheiten der Zukunft werden somit berücksichtigt. Die Beispielsysteme beruhen auf Gummi-Metall-Elementen und Wälzlagern. Aus den generierten Ergebnissen lässt sich schließen, dass die Zustandsindikatoren aus der betrachteten Zeitreihen-Toolbox auch unter unbekannten Betriebs- und Umgebungsbedingungen robust sind.\r\n"},{"text":"Due to the advances in digitalization, condition monitoring systems have found numerous applications in the industry due to benefits such as improved reliability and lowered costs through condition-based or predictive maintenance. Condition monitoring systems typically involve elements, such as data acquisition via suitable sensors, data preprocessing, feature extraction and selection, diagnostics, prognostics and (maintenance) decisions based on diagnosis or prognosis. For the application-specific development of a suitable condition monitoring system, each of these elements requires individual settings. Due to the uncertainty of the future, an open question arises in the condition monitoring field, which is reflected in unknown future operating and environmental conditions. This uncertainty needs consideration in all elements of a condition monitoring system.\r\nThis article focuses on feature extraction and selection, building on the hypothesis that the remaining useful life of a technical system can be predicted with high accuracy utilizing suitable features. In this article, health indicators derived from time-domain features that permit the monitoring of the health of critical system components are presented for predicting the remaining useful life of technical systems. Three distinct application examples based on rubber-metal elements and rolling-element bearings are evaluated to validate the suitability of the presented methods. Experimental data from accelerated lifetime tests conducted under non-stationary operating and environmental conditions are considered to take possible future uncertainties into account. It can be concluded from the acquired results that health indicators derived from the presented time series toolbox are robust to varying operating and environmental conditions.\r\n","lang":"eng"}],"language":[{"iso":"ger"}],"author":[{"full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy","id":"9557"},{"full_name":"Bender, Amelie","first_name":"Amelie","last_name":"Bender","id":"54290"},{"full_name":"Sextro, Walter","first_name":"Walter","last_name":"Sextro","id":"21220"}],"publication_identifier":{"isbn":["978-3-18-092391-8"],"issn":["0083-5560 "]},"title":"Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ","year":"2021","date_updated":"2022-01-06T06:57:43Z","publication_status":"published"},{"department":[{"_id":"157"}],"type":"conference_abstract","date_created":"2021-11-22T13:35:48Z","citation":{"ieee":"M. Helbig <i>et al.</i>, “Modeling of adhesives in crash simulation under consideration of manufacturing processes,” presented at the automotive CAE Grand Challange, Hanau, 2021.","mla":"Helbig, Martin, et al. “Modeling of Adhesives in Crash Simulation under Consideration of Manufacturing Processes.” <i>Vortrag in: Automotive CAE Grand Challange</i>, 2021.","apa":"Helbig, M., Haufe, A., Beule, F., Aubel, T., Meschut, G., Jamei, S., Fürle, F., Lossau, S., Droste, A., Gleich, H., Kose, K., Sommer, D., &#38; Facciotto, S. (2021). Modeling of adhesives in crash simulation under consideration of manufacturing processes. <i>Vortrag in: Automotive CAE Grand Challange</i>. automotive CAE Grand Challange, Hanau.","bibtex":"@inproceedings{Helbig_Haufe_Beule_Aubel_Meschut_Jamei_Fürle_Lossau_Droste_Gleich_et al._2021, title={Modeling of adhesives in crash simulation under consideration of manufacturing processes}, booktitle={Vortrag in: automotive CAE Grand Challange}, author={Helbig, Martin and Haufe, André and Beule, Felix and Aubel, Tobias and Meschut, Gerson and Jamei, Said and Fürle, Fabian and Lossau, Sebastian and Droste, Alexander and Gleich, Hennig and et al.}, year={2021} }","chicago":"Helbig, Martin, André Haufe, Felix Beule, Tobias Aubel, Gerson Meschut, Said Jamei, Fabian Fürle, et al. “Modeling of Adhesives in Crash Simulation under Consideration of Manufacturing Processes.” In <i>Vortrag in: Automotive CAE Grand Challange</i>, 2021.","short":"M. Helbig, A. Haufe, F. Beule, T. Aubel, G. Meschut, S. Jamei, F. Fürle, S. Lossau, A. Droste, H. Gleich, K. Kose, D. Sommer, S. Facciotto, in: Vortrag in: Automotive CAE Grand Challange, 2021.","ama":"Helbig M, Haufe A, Beule F, et al. Modeling of adhesives in crash simulation under consideration of manufacturing processes. 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Helbig <i>et al.</i>, “DigiBody - Optimizing of Joining Technology,” presented at the 13th European LS-DYNA Conference, Ulm, 2021.","apa":"Helbig, M., Haufe, A., Beule, F., Aubel, T., Meschut, G., Jamei, S., Fürle, F., Lossau, S., Droste, A., Gleich, H., Kose, K., Sommer, D., &#38; Facciotto, S. (2021). DigiBody - Optimizing of Joining Technology. <i>Vortrag in: 13th European LS-DYNA Conference</i>. 13th European LS-DYNA Conference, Ulm.","short":"M. Helbig, A. Haufe, F. Beule, T. Aubel, G. Meschut, S. Jamei, F. Fürle, S. Lossau, A. Droste, H. Gleich, K. Kose, D. Sommer, S. 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Relevance of dietary glycemic index, glycemic load and fiber intake before and during pregnancy for the risk of gestational diabetes mellitus and maternal glucose homeostasis. <i>Clinical Nutrition</i>, 2791–2799. <a href=\"https://doi.org/10.1016/j.clnu.2021.03.041\">https://doi.org/10.1016/j.clnu.2021.03.041</a>","ieee":"X. Zhang <i>et al.</i>, “Relevance of dietary glycemic index, glycemic load and fiber intake before and during pregnancy for the risk of gestational diabetes mellitus and maternal glucose homeostasis,” <i>Clinical Nutrition</i>, pp. 2791–2799, 2021, doi: <a href=\"https://doi.org/10.1016/j.clnu.2021.03.041\">10.1016/j.clnu.2021.03.041</a>.","chicago":"Zhang, Xiao, Yunhui Gong, Karen Della Corte, Dianke Yu, Hongmei Xue, Shufang Shan, Guo Tian, et al. “Relevance of Dietary Glycemic Index, Glycemic Load and Fiber Intake before and during Pregnancy for the Risk of Gestational Diabetes Mellitus and Maternal Glucose Homeostasis.” <i>Clinical Nutrition</i>, 2021, 2791–99. <a href=\"https://doi.org/10.1016/j.clnu.2021.03.041\">https://doi.org/10.1016/j.clnu.2021.03.041</a>.","short":"X. Zhang, Y. Gong, K. Della Corte, D. Yu, H. Xue, S. Shan, G. Tian, Y. Liang, J. Zhang, F. He, D. Yang, R. Zhou, W. Bao, A. Buyken, G. 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