[{"citation":{"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).","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>.","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>","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>.","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>","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} }","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>."},"publication":"Frontiers in Endocrinology","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"}],"date_created":"2021-11-18T19:35:06Z","department":[{"_id":"35"},{"_id":"22"},{"_id":"395"}],"type":"journal_article","author":[{"last_name":"Hirtz","first_name":"Raphael","full_name":"Hirtz, Raphael"},{"first_name":"Lars","orcid":"0000-0003-1603-3133","last_name":"Libuda","full_name":"Libuda, Lars","id":"88682"},{"full_name":"Hinney, Anke","first_name":"Anke","last_name":"Hinney"},{"last_name":"Föcker","first_name":"Manuel","full_name":"Föcker, Manuel"},{"full_name":"Bühlmeier, Judith","first_name":"Judith","last_name":"Bühlmeier"},{"full_name":"Antel, Jochen","last_name":"Antel","first_name":"Jochen"},{"full_name":"Holterhus, Paul-Martin","last_name":"Holterhus","first_name":"Paul-Martin"},{"full_name":"Kulle, Alexandra","first_name":"Alexandra","last_name":"Kulle"},{"full_name":"Kiewert, Cordula","last_name":"Kiewert","first_name":"Cordula"},{"last_name":"Hebebrand","first_name":"Johannes","full_name":"Hebebrand, Johannes"},{"full_name":"Grasemann, Corinna","first_name":"Corinna","last_name":"Grasemann"}],"publication_identifier":{"issn":["1664-2392"]},"status":"public","title":"Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression","year":"2021","publication_status":"published","date_updated":"2022-01-06T06:57:42Z","_id":"27574","language":[{"iso":"eng"}],"user_id":"49428","doi":"10.3389/fendo.2021.662243"},{"page":"2791-2799","_id":"27746","language":[{"iso":"eng"}],"doi":"10.1016/j.clnu.2021.03.041","user_id":"61597","status":"public","title":"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","year":"2021","publication_identifier":{"issn":["0261-5614"]},"author":[{"full_name":"Zhang, Xiao","last_name":"Zhang","first_name":"Xiao"},{"full_name":"Gong, Yunhui","first_name":"Yunhui","last_name":"Gong"},{"full_name":"Della Corte, Karen","last_name":"Della Corte","first_name":"Karen"},{"full_name":"Yu, Dianke","last_name":"Yu","first_name":"Dianke"},{"first_name":"Hongmei","last_name":"Xue","full_name":"Xue, Hongmei"},{"full_name":"Shan, Shufang","last_name":"Shan","first_name":"Shufang"},{"full_name":"Tian, Guo","first_name":"Guo","last_name":"Tian"},{"full_name":"Liang, Yi","last_name":"Liang","first_name":"Yi"},{"first_name":"Jieyi","last_name":"Zhang","full_name":"Zhang, Jieyi"},{"full_name":"He, Fang","first_name":"Fang","last_name":"He"},{"full_name":"Yang, Dagang","last_name":"Yang","first_name":"Dagang"},{"full_name":"Zhou, Rong","first_name":"Rong","last_name":"Zhou"},{"full_name":"Bao, Wei","last_name":"Bao","first_name":"Wei"},{"last_name":"Buyken","first_name":"Anette","full_name":"Buyken, Anette","id":"65985"},{"first_name":"Guo","last_name":"Cheng","full_name":"Cheng, Guo"}],"date_updated":"2022-01-06T06:57:44Z","publication_status":"published","date_created":"2021-11-23T16:19:11Z","type":"journal_article","department":[{"_id":"17"},{"_id":"22"},{"_id":"571"}],"publication":"Clinical Nutrition","citation":{"mla":"Zhang, Xiao, 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, pp. 2791–99, doi:<a href=\"https://doi.org/10.1016/j.clnu.2021.03.041\">10.1016/j.clnu.2021.03.041</a>.","bibtex":"@article{Zhang_Gong_Della Corte_Yu_Xue_Shan_Tian_Liang_Zhang_He_et al._2021, title={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}, DOI={<a href=\"https://doi.org/10.1016/j.clnu.2021.03.041\">10.1016/j.clnu.2021.03.041</a>}, journal={Clinical Nutrition}, author={Zhang, Xiao and Gong, Yunhui and Della Corte, Karen and Yu, Dianke and Xue, Hongmei and Shan, Shufang and Tian, Guo and Liang, Yi and Zhang, Jieyi and He, Fang and et al.}, year={2021}, pages={2791–2799} }","ama":"Zhang X, Gong Y, Della Corte K, 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>. Published online 2021:2791-2799. doi:<a href=\"https://doi.org/10.1016/j.clnu.2021.03.041\">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>.","apa":"Zhang, X., Gong, Y., Della Corte, K., Yu, D., Xue, H., Shan, S., Tian, G., Liang, Y., Zhang, J., He, F., Yang, D., Zhou, R., Bao, W., Buyken, A., &#38; Cheng, G. (2021). 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>","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. Cheng, Clinical Nutrition (2021) 2791–2799."}},{"publication":"Nutrition, Metabolism and Cardiovascular Diseases","citation":{"short":"J. Nyasordzi, J. Conrad, J. Goletzke, H. Ludwig-Walz, C. Herder, M. Roden, S.A. Wudy, Y. Hua, T. Remer, A. Buyken, Nutrition, Metabolism and Cardiovascular Diseases (2021) 2109–2121.","chicago":"Nyasordzi, Juliana, Johanna Conrad, Janina Goletzke, Helena Ludwig-Walz, Christian Herder, Michael Roden, Stefan A. Wudy, Yifan Hua, Thomas Remer, and Anette Buyken. “Early Life Factors and Their Relevance for Markers of Cardiometabolic Risk in Early Adulthood.” <i>Nutrition, Metabolism and Cardiovascular Diseases</i>, 2021, 2109–21. <a href=\"https://doi.org/10.1016/j.numecd.2021.03.024\">https://doi.org/10.1016/j.numecd.2021.03.024</a>.","ieee":"J. Nyasordzi <i>et al.</i>, “Early life factors and their relevance for markers of cardiometabolic risk in early adulthood,” <i>Nutrition, Metabolism and Cardiovascular Diseases</i>, pp. 2109–2121, 2021, doi: <a href=\"https://doi.org/10.1016/j.numecd.2021.03.024\">10.1016/j.numecd.2021.03.024</a>.","apa":"Nyasordzi, J., Conrad, J., Goletzke, J., Ludwig-Walz, H., Herder, C., Roden, M., Wudy, S. A., Hua, Y., Remer, T., &#38; Buyken, A. (2021). Early life factors and their relevance for markers of cardiometabolic risk in early adulthood. <i>Nutrition, Metabolism and Cardiovascular Diseases</i>, 2109–2121. <a href=\"https://doi.org/10.1016/j.numecd.2021.03.024\">https://doi.org/10.1016/j.numecd.2021.03.024</a>","bibtex":"@article{Nyasordzi_Conrad_Goletzke_Ludwig-Walz_Herder_Roden_Wudy_Hua_Remer_Buyken_2021, title={Early life factors and their relevance for markers of cardiometabolic risk in early adulthood}, DOI={<a href=\"https://doi.org/10.1016/j.numecd.2021.03.024\">10.1016/j.numecd.2021.03.024</a>}, journal={Nutrition, Metabolism and Cardiovascular Diseases}, author={Nyasordzi, Juliana and Conrad, Johanna and Goletzke, Janina and Ludwig-Walz, Helena and Herder, Christian and Roden, Michael and Wudy, Stefan A. and Hua, Yifan and Remer, Thomas and Buyken, Anette}, year={2021}, pages={2109–2121} }","ama":"Nyasordzi J, Conrad J, Goletzke J, et al. Early life factors and their relevance for markers of cardiometabolic risk in early adulthood. <i>Nutrition, Metabolism and Cardiovascular Diseases</i>. Published online 2021:2109-2121. doi:<a href=\"https://doi.org/10.1016/j.numecd.2021.03.024\">10.1016/j.numecd.2021.03.024</a>","mla":"Nyasordzi, Juliana, et al. “Early Life Factors and Their Relevance for Markers of Cardiometabolic Risk in Early Adulthood.” <i>Nutrition, Metabolism and Cardiovascular Diseases</i>, 2021, pp. 2109–21, doi:<a href=\"https://doi.org/10.1016/j.numecd.2021.03.024\">10.1016/j.numecd.2021.03.024</a>."},"type":"journal_article","department":[{"_id":"17"},{"_id":"22"},{"_id":"571"}],"date_created":"2021-11-25T11:58:35Z","publication_status":"published","date_updated":"2022-01-06T06:57:45Z","title":"Early life factors and their relevance for markers of cardiometabolic risk in early adulthood","status":"public","year":"2021","publication_identifier":{"issn":["0939-4753"]},"author":[{"full_name":"Nyasordzi, Juliana","first_name":"Juliana","last_name":"Nyasordzi"},{"full_name":"Conrad, Johanna","last_name":"Conrad","first_name":"Johanna"},{"last_name":"Goletzke","first_name":"Janina","full_name":"Goletzke, Janina"},{"last_name":"Ludwig-Walz","first_name":"Helena","full_name":"Ludwig-Walz, Helena"},{"last_name":"Herder","first_name":"Christian","full_name":"Herder, Christian"},{"last_name":"Roden","first_name":"Michael","full_name":"Roden, Michael"},{"full_name":"Wudy, Stefan A.","last_name":"Wudy","first_name":"Stefan A."},{"first_name":"Yifan","last_name":"Hua","full_name":"Hua, Yifan"},{"full_name":"Remer, Thomas","last_name":"Remer","first_name":"Thomas"},{"first_name":"Anette","last_name":"Buyken","full_name":"Buyken, Anette","id":"65985"}],"user_id":"61597","doi":"10.1016/j.numecd.2021.03.024","page":"2109-2121","language":[{"iso":"eng"}],"_id":"27790"},{"abstract":[{"text":"<jats:title>ABSTRACT</jats:title>\r\n               <jats:sec>\r\n                  <jats:title>Background</jats:title>\r\n                  <jats:p>Reliable tables of glycemic indexes (GIs) and glycemic loads (GLs) are critical to research examining the relationship between glycemic qualities of carbohydrate in foods, diets, and health. In the 12 years since the last edition of the tables, a large amount of new data has become available.</jats:p>\r\n               </jats:sec>\r\n               <jats:sec>\r\n                  <jats:title>Objectives</jats:title>\r\n                  <jats:p>To systematically review and tabulate published and unpublished sources of reliable GI values, including an assessment of the reliability of the data.</jats:p>\r\n               </jats:sec>\r\n               <jats:sec>\r\n                  <jats:title>Methods</jats:title>\r\n                  <jats:p>This edition of the tables lists over 4000 items, a 61% increase in the number of entries compared to the 2008 edition. The data have been separated into 2 lists. The first represents more precise values derived using the methodology recommended by the International Standards Organization (∼2100 items). The second list contains values determined using less robust methods, including using limited numbers of healthy subjects or with a large SEM (∼1900 food items).</jats:p>\r\n               </jats:sec>\r\n               <jats:sec>\r\n                  <jats:title>Results</jats:title>\r\n                  <jats:p>Dairy products, legumes, pasta, and fruits were usually low-GI foods (≤55 on the 100-point glucose scale) and had consistent values around the world. Cereals and cereal products, however, including whole-grain or whole-meal versions, showed wide variation in GI values, presumably arising from variations in manufacturing methods. Breads, breakfast cereals, rice, savory snack products, and regional foods were available in high-, medium-, and low-GI versions. Most varieties of potato were high-GI foods, but specific low-GI varieties have now been identified.</jats:p>\r\n               </jats:sec>\r\n               <jats:sec>\r\n                  <jats:title>Conclusions</jats:title>\r\n                  <jats:p>The availability of new data on the GIs of foods will facilitate wider research and application of the twin concepts of GI and GL. Although the 2021 edition of the tables improves the quality and quantity of GI data available for research and clinical practice, GI testing of regional foods remains a priority. This systematic review was registered in PROSPERO as #171204.</jats:p>\r\n               </jats:sec>","lang":"eng"}],"citation":{"mla":"Atkinson, Fiona S., et al. “International Tables of Glycemic Index and Glycemic Load Values 2021: A Systematic Review.” <i>The American Journal of Clinical Nutrition</i>, 2021, pp. 1625–32, doi:<a href=\"https://doi.org/10.1093/ajcn/nqab233\">10.1093/ajcn/nqab233</a>.","ama":"Atkinson FS, Brand-Miller JC, Foster-Powell K, Buyken A, Goletzke J. International tables of glycemic index and glycemic load values 2021: a systematic review. <i>The American Journal of Clinical Nutrition</i>. Published online 2021:1625-1632. doi:<a href=\"https://doi.org/10.1093/ajcn/nqab233\">10.1093/ajcn/nqab233</a>","bibtex":"@article{Atkinson_Brand-Miller_Foster-Powell_Buyken_Goletzke_2021, title={International tables of glycemic index and glycemic load values 2021: a systematic review}, DOI={<a href=\"https://doi.org/10.1093/ajcn/nqab233\">10.1093/ajcn/nqab233</a>}, journal={The American Journal of Clinical Nutrition}, author={Atkinson, Fiona S and Brand-Miller, Jennie C and Foster-Powell, Kaye and Buyken, Anette and Goletzke, Janina}, year={2021}, pages={1625–1632} }","apa":"Atkinson, F. S., Brand-Miller, J. C., Foster-Powell, K., Buyken, A., &#38; Goletzke, J. (2021). International tables of glycemic index and glycemic load values 2021: a systematic review. <i>The American Journal of Clinical Nutrition</i>, 1625–1632. <a href=\"https://doi.org/10.1093/ajcn/nqab233\">https://doi.org/10.1093/ajcn/nqab233</a>","ieee":"F. S. Atkinson, J. C. Brand-Miller, K. Foster-Powell, A. Buyken, and J. Goletzke, “International tables of glycemic index and glycemic load values 2021: a systematic review,” <i>The American Journal of Clinical Nutrition</i>, pp. 1625–1632, 2021, doi: <a href=\"https://doi.org/10.1093/ajcn/nqab233\">10.1093/ajcn/nqab233</a>.","short":"F.S. Atkinson, J.C. Brand-Miller, K. Foster-Powell, A. Buyken, J. Goletzke, The American Journal of Clinical Nutrition (2021) 1625–1632.","chicago":"Atkinson, Fiona S, Jennie C Brand-Miller, Kaye Foster-Powell, Anette Buyken, and Janina Goletzke. “International Tables of Glycemic Index and Glycemic Load Values 2021: A Systematic Review.” <i>The American Journal of Clinical Nutrition</i>, 2021, 1625–32. <a href=\"https://doi.org/10.1093/ajcn/nqab233\">https://doi.org/10.1093/ajcn/nqab233</a>."},"publication":"The American Journal of Clinical Nutrition","department":[{"_id":"17"},{"_id":"22"},{"_id":"571"}],"type":"journal_article","date_created":"2021-11-25T12:01:37Z","date_updated":"2022-01-06T06:57:45Z","publication_status":"published","author":[{"full_name":"Atkinson, Fiona S","last_name":"Atkinson","first_name":"Fiona S"},{"last_name":"Brand-Miller","first_name":"Jennie C","full_name":"Brand-Miller, Jennie C"},{"last_name":"Foster-Powell","first_name":"Kaye","full_name":"Foster-Powell, Kaye"},{"last_name":"Buyken","first_name":"Anette","full_name":"Buyken, Anette","id":"65985"},{"first_name":"Janina","last_name":"Goletzke","full_name":"Goletzke, Janina"}],"publication_identifier":{"issn":["0002-9165","1938-3207"]},"status":"public","year":"2021","title":"International tables of glycemic index and glycemic load values 2021: a systematic review","doi":"10.1093/ajcn/nqab233","user_id":"61597","language":[{"iso":"eng"}],"_id":"27793","page":"1625-1632"},{"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"abstract":[{"lang":"eng","text":"Automated machine learning (AutoML) supports the algorithmic construction and data-specific customization of machine learning pipelines, including the selection, combination, and parametrization of machine learning algorithms as main constituents. Generally speaking, AutoML approaches comprise two major components: a search space model and an optimizer for traversing the space. Recent approaches have shown impressive results in the realm of supervised learning, most notably (single-label) classification (SLC). Moreover, first attempts at extending these approaches towards multi-label classification (MLC) have been made. While the space of candidate pipelines is already huge in SLC, the complexity of the search space is raised to an even higher power in MLC. One may wonder, therefore, whether and to what extent optimizers established for SLC can scale to this increased complexity, and how they compare to each other. This paper makes the following contributions: First, we survey existing approaches to AutoML for MLC. Second, we augment these approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking framework that supports a fair and systematic comparison. Fourth, we conduct an extensive experimental study, evaluating the methods on a suite of MLC problems. We find a grammar-based best-first search to compare favorably to other optimizers."}],"citation":{"ieee":"M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, pp. 1–1, 2021, doi: <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>.","mla":"Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 2021, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>.","apa":"Wever, M. D., Tornede, A., Mohr, F., &#38; Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 1–1. <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">https://doi.org/10.1109/tpami.2021.3051276</a>","bibtex":"@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label Classification: Overview and Empirical Evaluation}, DOI={<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever, Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke}, year={2021}, pages={1–1} }","short":"M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.","ama":"Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. Published online 2021:1-1. doi:<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>","chicago":"Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 2021, 1–1. <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">https://doi.org/10.1109/tpami.2021.3051276</a>."},"publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"keyword":["Automated Machine Learning","Multi Label Classification","Hierarchical Planning","Bayesian Optimization"],"type":"journal_article","date_created":"2021-01-16T14:48:13Z","date_updated":"2022-01-06T06:54:42Z","publication_status":"published","author":[{"last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","id":"33176"},{"full_name":"Tornede, Alexander","first_name":"Alexander","last_name":"Tornede","id":"38209"},{"full_name":"Mohr, Felix","last_name":"Mohr","first_name":"Felix"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"publication_identifier":{"issn":["0162-8828","2160-9292","1939-3539"]},"year":"2021","title":"AutoML for Multi-Label Classification: Overview and Empirical Evaluation","status":"public","doi":"10.1109/tpami.2021.3051276","user_id":"5786","language":[{"iso":"eng"}],"_id":"21004","page":"1-1"},{"language":[{"iso":"eng"}],"_id":"21264","user_id":"35756","doi":"10.1186/s12984-021-00822-6","status":"public","title":"Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis","year":"2021","publication_identifier":{"issn":["1743-0003"]},"author":[{"first_name":"Alexander","last_name":"Boschmann","full_name":"Boschmann, Alexander"},{"full_name":"Neuhaus, Dorothee","first_name":"Dorothee","last_name":"Neuhaus"},{"full_name":"Vogt, Sarah","last_name":"Vogt","first_name":"Sarah"},{"first_name":"Christian","last_name":"Kaltschmidt","full_name":"Kaltschmidt, Christian"},{"last_name":"Platzner","first_name":"Marco","full_name":"Platzner, Marco"},{"full_name":"Dosen, Strahinja","last_name":"Dosen","first_name":"Strahinja"}],"publication_status":"published","date_updated":"2022-01-06T06:54:52Z","date_created":"2021-02-22T10:43:02Z","type":"journal_article","publication":"Journal of NeuroEngineering and Rehabilitation","citation":{"mla":"Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” <i>Journal of NeuroEngineering and Rehabilitation</i>, 2021, doi:<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>.","bibtex":"@article{Boschmann_Neuhaus_Vogt_Kaltschmidt_Platzner_Dosen_2021, title={Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}, DOI={<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>}, journal={Journal of NeuroEngineering and Rehabilitation}, author={Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}, year={2021} }","ama":"Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. <i>Journal of NeuroEngineering and Rehabilitation</i>. 2021. doi:<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>","ieee":"A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” <i>Journal of NeuroEngineering and Rehabilitation</i>, 2021.","apa":"Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., &#38; Dosen, S. (2021). Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. <i>Journal of NeuroEngineering and Rehabilitation</i>. <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">https://doi.org/10.1186/s12984-021-00822-6</a>","short":"A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation (2021).","chicago":"Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” <i>Journal of NeuroEngineering and Rehabilitation</i>, 2021. <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">https://doi.org/10.1186/s12984-021-00822-6</a>."},"abstract":[{"text":"<jats:title>Abstract</jats:title><jats:sec>\n                <jats:title>Background</jats:title>\n                <jats:p>Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Methods</jats:title>\n                <jats:p>In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Results</jats:title>\n                <jats:p>The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7).</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Conclusion</jats:title>\n                <jats:p>The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development.</jats:p>\n              </jats:sec>","lang":"eng"}]},{"publication_status":"published","date_updated":"2022-01-06T06:54:55Z","intvolume":"        26","year":"2021","title":"Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models","publication_identifier":{"eissn":["2297-8747"]},"author":[{"full_name":"Berkemeier, Manuel Bastian","first_name":"Manuel Bastian","last_name":"Berkemeier","id":"51701"},{"id":"47427","last_name":"Peitz","orcid":"0000-0002-3389-793X","first_name":"Sebastian","full_name":"Peitz, Sebastian"}],"doi":"10.3390/mca26020031","article_number":"31","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2297-8747/26/2/31/pdf"}],"language":[{"iso":"eng"}],"abstract":[{"text":"We present a flexible trust region descend algorithm for unconstrained and\r\nconvexly constrained multiobjective optimization problems. It is targeted at\r\nheterogeneous and expensive problems, i.e., problems that have at least one\r\nobjective function that is computationally expensive. The method is\r\nderivative-free in the sense that neither need derivative information be\r\navailable for the expensive objectives nor are gradients approximated using\r\nrepeated function evaluations as is the case in finite-difference methods.\r\nInstead, a multiobjective trust region approach is used that works similarly to\r\nits well-known scalar pendants. Local surrogate models constructed from\r\nevaluation data of the true objective functions are employed to compute\r\npossible descent directions. In contrast to existing multiobjective trust\r\nregion algorithms, these surrogates are not polynomial but carefully\r\nconstructed radial basis function networks. This has the important advantage\r\nthat the number of data points scales linearly with the parameter space\r\ndimension. The local models qualify as fully linear and the corresponding\r\ngeneral scalar framework is adapted for problems with multiple objectives.\r\nConvergence to Pareto critical points is proven and numerical examples\r\nillustrate our findings.","lang":"eng"}],"publication":"Mathematical and Computational Applications","issue":"2","type":"journal_article","department":[{"_id":"101"},{"_id":"655"}],"date_created":"2021-03-01T10:46:48Z","status":"public","user_id":"47427","volume":26,"_id":"21337","citation":{"chicago":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.” <i>Mathematical and Computational Applications</i> 26, no. 2 (2021). <a href=\"https://doi.org/10.3390/mca26020031\">https://doi.org/10.3390/mca26020031</a>.","short":"M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).","apa":"Berkemeier, M. B., &#38; Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. <i>Mathematical and Computational Applications</i>, <i>26</i>(2). <a href=\"https://doi.org/10.3390/mca26020031\">https://doi.org/10.3390/mca26020031</a>","ieee":"M. B. Berkemeier and S. Peitz, “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models,” <i>Mathematical and Computational Applications</i>, vol. 26, no. 2, 2021.","ama":"Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. <i>Mathematical and Computational Applications</i>. 2021;26(2). doi:<a href=\"https://doi.org/10.3390/mca26020031\">10.3390/mca26020031</a>","bibtex":"@article{Berkemeier_Peitz_2021, title={Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models}, volume={26}, DOI={<a href=\"https://doi.org/10.3390/mca26020031\">10.3390/mca26020031</a>}, number={231}, journal={Mathematical and Computational Applications}, author={Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2021} }","mla":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.” <i>Mathematical and Computational Applications</i>, vol. 26, no. 2, 31, 2021, doi:<a href=\"https://doi.org/10.3390/mca26020031\">10.3390/mca26020031</a>."},"oa":"1"},{"date_created":"2021-04-19T13:15:50Z","type":"journal_article","citation":{"ama":"Bader F, Bathelt L, Djakow E, Homberg W, Henke C, Trächtler A. Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines. <i>ESAFORM 2021</i>. 2021. doi:<a href=\"https://doi.org/10.25518/esaform21.2382\">10.25518/esaform21.2382</a>","bibtex":"@article{Bader_Bathelt_Djakow_Homberg_Henke_Trächtler_2021, title={Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines}, DOI={<a href=\"https://doi.org/10.25518/esaform21.2382\">10.25518/esaform21.2382</a>}, journal={ESAFORM 2021}, author={Bader, Fabian and Bathelt, Lukas and Djakow, Eugen and Homberg, Werner and Henke, Christian and Trächtler, Ansgar}, year={2021} }","mla":"Bader, Fabian, et al. “Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines.” <i>ESAFORM 2021</i>, 2021, doi:<a href=\"https://doi.org/10.25518/esaform21.2382\">10.25518/esaform21.2382</a>.","chicago":"Bader, Fabian, Lukas Bathelt, Eugen Djakow, Werner Homberg, Christian Henke, and Ansgar Trächtler. “Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines.” <i>ESAFORM 2021</i>, 2021. <a href=\"https://doi.org/10.25518/esaform21.2382\">https://doi.org/10.25518/esaform21.2382</a>.","short":"F. Bader, L. Bathelt, E. Djakow, W. Homberg, C. Henke, A. Trächtler, ESAFORM 2021 (2021).","apa":"Bader, F., Bathelt, L., Djakow, E., Homberg, W., Henke, C., &#38; Trächtler, A. (2021). Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines. <i>ESAFORM 2021</i>. <a href=\"https://doi.org/10.25518/esaform21.2382\">https://doi.org/10.25518/esaform21.2382</a>","ieee":"F. Bader, L. Bathelt, E. Djakow, W. Homberg, C. Henke, and A. Trächtler, “Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines,” <i>ESAFORM 2021</i>, 2021."},"publication":"ESAFORM 2021","abstract":[{"lang":"eng","text":"<jats:p>Higher quality requirements by customers demand higher precision and accuracy from manufacturing processes. Application oriented preparation of semi-finished materials is key for subsequent forming operations, therefore, straightening machines are employed. Straightening strengthens the material by increasing plastic deformation by means of strain hardening, resulting in undesirable reduction in formability when processing high strength materials, in particular. Conventional roll-type straightening machines process either bars or strips. This is achieved upon passing material between rolls arranged in two staggered rows. However, conventional straightening processes do not adapt to the local varying distortion of coiled strips. Innovative, self-correcting process control techniques, which adapt to the initial geometric characteristics of the strip, present a promising approach to fix this issue through optimization of the leveling process. Here, an innovative strategy to improve straightening of high strength steel materials (1.4310) is presented. This implements optimized leveling, adding minimal plastic deformation and, thus, strain hardening. To operate an intelligent straightening machine, a reliable online measurement of the surface defects is fundamentally essential. The MagnaTest, which is developed for material testing, is made feasible for such purposes after calibrating for curvature measurement. Preliminary results are promising in regards to measuring the curvature online, so that the following straightening process can be close loop controlled. The bending measurement is linked to open/closed loop control, therefore providing an optimal straightening result in regards to formability, leveling, and reduced strain hardening.</jats:p>"}],"quality_controlled":"1","_id":"21633","language":[{"iso":"fre"}],"doi":"10.25518/esaform21.2382","user_id":"65204","author":[{"id":"65204","full_name":"Bader, Fabian","first_name":"Fabian","last_name":"Bader"},{"full_name":"Bathelt, Lukas","last_name":"Bathelt","first_name":"Lukas"},{"last_name":"Djakow","first_name":"Eugen","full_name":"Djakow, Eugen"},{"full_name":"Homberg, Werner","last_name":"Homberg","first_name":"Werner"},{"first_name":"Christian","last_name":"Henke","full_name":"Henke, Christian"},{"full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"}],"year":"2021","status":"public","title":"Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines","date_updated":"2022-01-06T06:55:08Z","publication_status":"published"},{"department":[{"_id":"153"}],"type":"conference","date_created":"2021-08-30T12:58:00Z","citation":{"mla":"Biemelt, Patrick, et al. “Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator.” <i>Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)</i>, 2021, pp. 1619–26.","ama":"Biemelt P, Böhm S, Gausemeier S, Trächtler A. Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator. In: <i>Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)</i>. ; 2021:1619-1626.","bibtex":"@inproceedings{Biemelt_Böhm_Gausemeier_Trächtler_2021, title={Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator}, booktitle={Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, author={Biemelt, Patrick and Böhm, Sabrina and Gausemeier, Sandra and Trächtler, Ansgar}, year={2021}, pages={1619–1626} }","apa":"Biemelt, P., Böhm, S., Gausemeier, S., &#38; Trächtler, A. (2021). Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator. <i>Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)</i>, 1619–1626.","ieee":"P. Biemelt, S. Böhm, S. Gausemeier, and A. Trächtler, “Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator,” in <i>Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)</i>, Melbourne, Australia, 2021, pp. 1619–1626.","chicago":"Biemelt, Patrick, Sabrina Böhm, Sandra Gausemeier, and Ansgar Trächtler. “Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator.” In <i>Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)</i>, 1619–26, 2021.","short":"P. Biemelt, S. Böhm, S. Gausemeier, A. Trächtler, in: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 1619–1626."},"publication":"Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)","user_id":"24876","language":[{"iso":"eng"}],"_id":"23576","page":"1619 - 1626","date_updated":"2022-01-06T06:55:57Z","author":[{"full_name":"Biemelt, Patrick","last_name":"Biemelt","first_name":"Patrick","id":"24876"},{"full_name":"Böhm, Sabrina","first_name":"Sabrina","last_name":"Böhm"},{"full_name":"Gausemeier, Sandra","first_name":"Sandra","last_name":"Gausemeier","id":"17793"},{"id":"552","first_name":"Ansgar","last_name":"Trächtler","full_name":"Trächtler, Ansgar"}],"conference":{"end_date":"2021-10-20","location":"Melbourne, Australia","start_date":"2021-10-17","name":"IEEE International Conference on Systems, Man, and Cybernetics (SMC)"},"title":"Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator","year":"2021","status":"public"},{"status":"public","conference":{"end_date":"2021-04-29","name":"2021 Smart Systems Integration (SSI)","start_date":"2021-04-27","location":"Grenoble, France "},"user_id":"38240","_id":"22532","publisher":"IEEE","citation":{"apa":"Lange, S., Hedayat, C., Kuhn, H., &#38; Hilleringmann, U. (2021). Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field. In <i>2021 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE. <a href=\"https://doi.org/10.1109/ssi52265.2021.9466958\">https://doi.org/10.1109/ssi52265.2021.9466958</a>","ieee":"S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field,” in <i>2021 Smart Systems Integration (SSI)</i>, Grenoble, France , 2021.","short":"S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2021 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2021.","chicago":"Lange, Sven, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann. “Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field.” In <i>2021 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE, 2021. <a href=\"https://doi.org/10.1109/ssi52265.2021.9466958\">https://doi.org/10.1109/ssi52265.2021.9466958</a>.","mla":"Lange, Sven, et al. “Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field.” <i>2021 Smart Systems Integration (SSI)</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.1109/ssi52265.2021.9466958\">10.1109/ssi52265.2021.9466958</a>.","ama":"Lange S, Hedayat C, Kuhn H, Hilleringmann U. Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field. In: <i>2021 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE; 2021. doi:<a href=\"https://doi.org/10.1109/ssi52265.2021.9466958\">10.1109/ssi52265.2021.9466958</a>","bibtex":"@inproceedings{Lange_Hedayat_Kuhn_Hilleringmann_2021, place={Grenoble, France}, title={Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field}, DOI={<a href=\"https://doi.org/10.1109/ssi52265.2021.9466958\">10.1109/ssi52265.2021.9466958</a>}, booktitle={2021 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Lange, Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2021} }"},"place":"Grenoble, France","date_updated":"2022-01-06T06:55:36Z","publication_status":"published","title":"Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field","year":"2021","author":[{"last_name":"Lange","first_name":"Sven","full_name":"Lange, Sven","id":"38240"},{"full_name":"Hedayat, Christian","first_name":"Christian","last_name":"Hedayat"},{"last_name":"Kuhn","first_name":"Harald","full_name":"Kuhn, Harald"},{"last_name":"Hilleringmann","first_name":"Ulrich","full_name":"Hilleringmann, Ulrich"}],"publication_identifier":{"isbn":["9781665440929"]},"doi":"10.1109/ssi52265.2021.9466958","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9466958"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In this publication, further elements of the newly developed inductive localization in the near field are presented. The advantage of inductive localization is the usage of the magnetic fields, which have a very low influence of non-metallic materials in the environment and thus follows good applications in the area of medicine and biochemistry. This allows a precise localization of sensor platforms in inhomogeneous mixtures of materials, where classical methods have major problems with inhomogeneous dielectric conductivity or density. The calculation of the localization of the searched object differs from other methods such as ultrasound or electromagnetic waves due to the source-free propagation of the magnetic field. Therefore, new mathematical evaluation methods and systematic adaptations are necessary, which are presented in this paper in circuit analysis. For this purpose, the exact circuit influences of one coil and the influence of another coil are investigated and which resonance circuit should be selected for both coils for a inductive localization with optimized signal strength."}],"publication":"2021 Smart Systems Integration (SSI)","keyword":["Electrotechnical Characteristics of Real Coils","Inductive Localization","Resonant Circuit","Mutual Inductance","Near-Field"],"type":"conference","department":[{"_id":"59"},{"_id":"485"}],"date_created":"2021-07-05T19:31:52Z"},{"page":"3048-3062","_id":"22637","language":[{"iso":"eng"}],"doi":"10.1093/nar/gkab097","user_id":"48864","volume":49,"status":"public","title":"Unraveling the interaction between doxorubicin and DNA origami nanostructures for customizable chemotherapeutic drug release","year":"2021","publication_identifier":{"issn":["0305-1048","1362-4962"]},"author":[{"last_name":"Ijäs","first_name":"Heini","full_name":"Ijäs, Heini"},{"full_name":"Shen, Boxuan","first_name":"Boxuan","last_name":"Shen"},{"first_name":"Amelie","last_name":"Heuer-Jungemann","full_name":"Heuer-Jungemann, Amelie"},{"id":"48864","full_name":"Keller, Adrian","last_name":"Keller","first_name":"Adrian","orcid":"0000-0001-7139-3110"},{"full_name":"Kostiainen, Mauri A","last_name":"Kostiainen","first_name":"Mauri A"},{"last_name":"Liedl","first_name":"Tim","full_name":"Liedl, Tim"},{"first_name":"Janne A","last_name":"Ihalainen","full_name":"Ihalainen, Janne A"},{"full_name":"Linko, Veikko","first_name":"Veikko","last_name":"Linko"}],"date_updated":"2022-01-06T06:55:37Z","publication_status":"published","intvolume":"        49","date_created":"2021-07-08T11:46:53Z","type":"journal_article","department":[{"_id":"302"}],"publication":"Nucleic Acids Research","citation":{"mla":"Ijäs, Heini, et al. “Unraveling the Interaction between Doxorubicin and DNA Origami Nanostructures for Customizable Chemotherapeutic Drug Release.” <i>Nucleic Acids Research</i>, vol. 49, 2021, pp. 3048–62, doi:<a href=\"https://doi.org/10.1093/nar/gkab097\">10.1093/nar/gkab097</a>.","bibtex":"@article{Ijäs_Shen_Heuer-Jungemann_Keller_Kostiainen_Liedl_Ihalainen_Linko_2021, title={Unraveling the interaction between doxorubicin and DNA origami nanostructures for customizable chemotherapeutic drug release}, volume={49}, DOI={<a href=\"https://doi.org/10.1093/nar/gkab097\">10.1093/nar/gkab097</a>}, journal={Nucleic Acids Research}, author={Ijäs, Heini and Shen, Boxuan and Heuer-Jungemann, Amelie and Keller, Adrian and Kostiainen, Mauri A and Liedl, Tim and Ihalainen, Janne A and Linko, Veikko}, year={2021}, pages={3048–3062} }","ama":"Ijäs H, Shen B, Heuer-Jungemann A, et al. Unraveling the interaction between doxorubicin and DNA origami nanostructures for customizable chemotherapeutic drug release. <i>Nucleic Acids Research</i>. 2021;49:3048-3062. doi:<a href=\"https://doi.org/10.1093/nar/gkab097\">10.1093/nar/gkab097</a>","ieee":"H. Ijäs <i>et al.</i>, “Unraveling the interaction between doxorubicin and DNA origami nanostructures for customizable chemotherapeutic drug release,” <i>Nucleic Acids Research</i>, vol. 49, pp. 3048–3062, 2021.","apa":"Ijäs, H., Shen, B., Heuer-Jungemann, A., Keller, A., Kostiainen, M. A., Liedl, T., … Linko, V. (2021). Unraveling the interaction between doxorubicin and DNA origami nanostructures for customizable chemotherapeutic drug release. <i>Nucleic Acids Research</i>, <i>49</i>, 3048–3062. <a href=\"https://doi.org/10.1093/nar/gkab097\">https://doi.org/10.1093/nar/gkab097</a>","chicago":"Ijäs, Heini, Boxuan Shen, Amelie Heuer-Jungemann, Adrian Keller, Mauri A Kostiainen, Tim Liedl, Janne A Ihalainen, and Veikko Linko. “Unraveling the Interaction between Doxorubicin and DNA Origami Nanostructures for Customizable Chemotherapeutic Drug Release.” <i>Nucleic Acids Research</i> 49 (2021): 3048–62. <a href=\"https://doi.org/10.1093/nar/gkab097\">https://doi.org/10.1093/nar/gkab097</a>.","short":"H. Ijäs, B. Shen, A. Heuer-Jungemann, A. Keller, M.A. Kostiainen, T. Liedl, J.A. Ihalainen, V. Linko, Nucleic Acids Research 49 (2021) 3048–3062."},"abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n               <jats:p>Doxorubicin (DOX) is a common drug in cancer chemotherapy, and its high DNA-binding affinity can be harnessed in preparing DOX-loaded DNA nanostructures for targeted delivery and therapeutics. Although DOX has been widely studied, the existing literature of DOX-loaded DNA-carriers remains limited and incoherent. Here, based on an in-depth spectroscopic analysis, we characterize and optimize the DOX loading into different 2D and 3D scaffolded DNA origami nanostructures (DONs). In our experimental conditions, all DONs show similar DOX binding capacities (one DOX molecule per two to three base pairs), and the binding equilibrium is reached within seconds, remarkably faster than previously acknowledged. To characterize drug release profiles, DON degradation and DOX release from the complexes upon DNase I digestion was studied. For the employed DONs, the relative doses (DOX molecules released per unit time) may vary by two orders of magnitude depending on the DON superstructure. In addition, we identify DOX aggregation mechanisms and spectral changes linked to pH, magnesium, and DOX concentration. These features have been largely ignored in experimenting with DNA nanostructures, but are probably the major sources of the incoherence of the experimental results so far. Therefore, we believe this work can act as a guide to tailoring the release profiles and developing better drug delivery systems based on DNA-carriers.</jats:p>","lang":"eng"}]},{"intvolume":"        26","date_updated":"2022-01-06T06:55:45Z","publication_status":"published","author":[{"last_name":"Xin","first_name":"Yang","full_name":"Xin, Yang"},{"last_name":"Zargariantabrizi","first_name":"Amir Ardalan","full_name":"Zargariantabrizi, Amir Ardalan"},{"id":"194","full_name":"Grundmeier, Guido","last_name":"Grundmeier","first_name":"Guido"},{"id":"48864","orcid":"0000-0001-7139-3110","last_name":"Keller","first_name":"Adrian","full_name":"Keller, Adrian"}],"publication_identifier":{"issn":["1420-3049"]},"year":"2021","title":"Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy","status":"public","volume":26,"doi":"10.3390/molecules26164798","user_id":"48864","_id":"23023","language":[{"iso":"eng"}],"page":"4798","abstract":[{"text":"<jats:p>DNA origami nanostructures (DONs) are promising substrates for the single-molecule investigation of biomolecular reactions and dynamics by in situ atomic force microscopy (AFM). For this, they are typically immobilized on mica substrates by adding millimolar concentrations of Mg2+ ions to the sample solution, which enable the adsorption of the negatively charged DONs at the like-charged mica surface. These non-physiological Mg2+ concentrations, however, present a serious limitation in such experiments as they may interfere with the reactions and processes under investigation. Therefore, we here evaluate three approaches to efficiently immobilize DONs at mica surfaces under essentially Mg2+-free conditions. These approaches rely on the pre-adsorption of different multivalent cations, i.e., Ni2+, poly-l-lysine (PLL), and spermidine (Spdn). DON adsorption is studied in phosphate-buffered saline (PBS) and pure water. In general, Ni2+ shows the worst performance with heavily deformed DONs. For 2D DON triangles, adsorption at PLL- and in particular Spdn-modified mica may outperform even Mg2+-mediated adsorption in terms of surface coverage, depending on the employed solution. For 3D six-helix bundles, less pronounced differences between the individual strategies are observed. Our results provide some general guidance for the immobilization of DONs at mica surfaces under Mg2+-free conditions and may aid future in situ AFM studies.</jats:p>","lang":"eng"}],"citation":{"short":"Y. Xin, A.A. Zargariantabrizi, G. Grundmeier, A. Keller, Molecules 26 (2021) 4798.","chicago":"Xin, Yang, Amir Ardalan Zargariantabrizi, Guido Grundmeier, and Adrian Keller. “Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy.” <i>Molecules</i> 26 (2021): 4798. <a href=\"https://doi.org/10.3390/molecules26164798\">https://doi.org/10.3390/molecules26164798</a>.","apa":"Xin, Y., Zargariantabrizi, A. A., Grundmeier, G., &#38; Keller, A. (2021). Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy. <i>Molecules</i>, <i>26</i>, 4798. <a href=\"https://doi.org/10.3390/molecules26164798\">https://doi.org/10.3390/molecules26164798</a>","ieee":"Y. Xin, A. A. Zargariantabrizi, G. Grundmeier, and A. Keller, “Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy,” <i>Molecules</i>, vol. 26, p. 4798, 2021.","ama":"Xin Y, Zargariantabrizi AA, Grundmeier G, Keller A. Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy. <i>Molecules</i>. 2021;26:4798. doi:<a href=\"https://doi.org/10.3390/molecules26164798\">10.3390/molecules26164798</a>","bibtex":"@article{Xin_Zargariantabrizi_Grundmeier_Keller_2021, title={Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy}, volume={26}, DOI={<a href=\"https://doi.org/10.3390/molecules26164798\">10.3390/molecules26164798</a>}, journal={Molecules}, author={Xin, Yang and Zargariantabrizi, Amir Ardalan and Grundmeier, Guido and Keller, Adrian}, year={2021}, pages={4798} }","mla":"Xin, Yang, et al. “Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy.” <i>Molecules</i>, vol. 26, 2021, p. 4798, doi:<a href=\"https://doi.org/10.3390/molecules26164798\">10.3390/molecules26164798</a>."},"publication":"Molecules","department":[{"_id":"302"}],"type":"journal_article","date_created":"2021-08-09T06:17:59Z"},{"doi":"10.1007/s10957-020-01803-w","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://link.springer.com/content/pdf/10.1007/s10957-020-01803-w.pdf"}],"intvolume":"       188","date_updated":"2022-01-06T06:52:57Z","publication_status":"published","author":[{"full_name":"Gebken, Bennet","last_name":"Gebken","first_name":"Bennet","id":"32643"},{"full_name":"Peitz, Sebastian","first_name":"Sebastian","last_name":"Peitz","orcid":"0000-0002-3389-793X","id":"47427"}],"title":"An efficient descent method for locally Lipschitz multiobjective optimization problems","year":"2021","department":[{"_id":"101"}],"type":"journal_article","date_created":"2020-04-27T09:11:22Z","abstract":[{"lang":"eng","text":"In this article, we present an efficient descent method for locally Lipschitz\r\ncontinuous multiobjective optimization problems (MOPs). The method is realized\r\nby combining a theoretical result regarding the computation of descent\r\ndirections for nonsmooth MOPs with a practical method to approximate the\r\nsubdifferentials of the objective functions. We show convergence to points\r\nwhich satisfy a necessary condition for Pareto optimality. Using a set of test\r\nproblems, we compare our method to the multiobjective proximal bundle method by\r\nM\\\"akel\\\"a. The results indicate that our method is competitive while being\r\neasier to implement. While the number of objective function evaluations is\r\nlarger, the overall number of subgradient evaluations is lower. Finally, we\r\nshow that our method can be combined with a subdivision algorithm to compute\r\nentire Pareto sets of nonsmooth MOPs."}],"publication":"Journal of Optimization Theory and Applications","volume":188,"user_id":"47427","_id":"16867","page":"696-723","status":"public","oa":"1","citation":{"mla":"Gebken, Bennet, and Sebastian Peitz. “An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.” <i>Journal of Optimization Theory and Applications</i>, vol. 188, 2021, pp. 696–723, doi:<a href=\"https://doi.org/10.1007/s10957-020-01803-w\">10.1007/s10957-020-01803-w</a>.","ama":"Gebken B, Peitz S. An efficient descent method for locally Lipschitz multiobjective optimization problems. <i>Journal of Optimization Theory and Applications</i>. 2021;188:696-723. doi:<a href=\"https://doi.org/10.1007/s10957-020-01803-w\">10.1007/s10957-020-01803-w</a>","bibtex":"@article{Gebken_Peitz_2021, title={An efficient descent method for locally Lipschitz multiobjective optimization problems}, volume={188}, DOI={<a href=\"https://doi.org/10.1007/s10957-020-01803-w\">10.1007/s10957-020-01803-w</a>}, journal={Journal of Optimization Theory and Applications}, author={Gebken, Bennet and Peitz, Sebastian}, year={2021}, pages={696–723} }","apa":"Gebken, B., &#38; Peitz, S. (2021). An efficient descent method for locally Lipschitz multiobjective optimization problems. <i>Journal of Optimization Theory and Applications</i>, <i>188</i>, 696–723. <a href=\"https://doi.org/10.1007/s10957-020-01803-w\">https://doi.org/10.1007/s10957-020-01803-w</a>","ieee":"B. Gebken and S. Peitz, “An efficient descent method for locally Lipschitz multiobjective optimization problems,” <i>Journal of Optimization Theory and Applications</i>, vol. 188, pp. 696–723, 2021.","short":"B. Gebken, S. Peitz, Journal of Optimization Theory and Applications 188 (2021) 696–723.","chicago":"Gebken, Bennet, and Sebastian Peitz. “An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.” <i>Journal of Optimization Theory and Applications</i> 188 (2021): 696–723. <a href=\"https://doi.org/10.1007/s10957-020-01803-w\">https://doi.org/10.1007/s10957-020-01803-w</a>."}},{"user_id":"47427","volume":80,"page":"3-29","publisher":"Springer","_id":"16295","status":"public","oa":"1","citation":{"mla":"Gebken, Bennet, and Sebastian Peitz. “Inverse Multiobjective Optimization: Inferring Decision Criteria from Data.” <i>Journal of Global Optimization</i>, vol. 80, Springer, 2021, pp. 3–29, doi:<a href=\"https://doi.org/10.1007/s10898-020-00983-z\">10.1007/s10898-020-00983-z</a>.","ama":"Gebken B, Peitz S. Inverse multiobjective optimization: Inferring decision criteria from data. <i>Journal of Global Optimization</i>. 2021;80:3-29. doi:<a href=\"https://doi.org/10.1007/s10898-020-00983-z\">10.1007/s10898-020-00983-z</a>","bibtex":"@article{Gebken_Peitz_2021, title={Inverse multiobjective optimization: Inferring decision criteria from data}, volume={80}, DOI={<a href=\"https://doi.org/10.1007/s10898-020-00983-z\">10.1007/s10898-020-00983-z</a>}, journal={Journal of Global Optimization}, publisher={Springer}, author={Gebken, Bennet and Peitz, Sebastian}, year={2021}, pages={3–29} }","apa":"Gebken, B., &#38; Peitz, S. (2021). Inverse multiobjective optimization: Inferring decision criteria from data. <i>Journal of Global Optimization</i>, <i>80</i>, 3–29. <a href=\"https://doi.org/10.1007/s10898-020-00983-z\">https://doi.org/10.1007/s10898-020-00983-z</a>","ieee":"B. Gebken and S. Peitz, “Inverse multiobjective optimization: Inferring decision criteria from data,” <i>Journal of Global Optimization</i>, vol. 80, pp. 3–29, 2021.","chicago":"Gebken, Bennet, and Sebastian Peitz. “Inverse Multiobjective Optimization: Inferring Decision Criteria from Data.” <i>Journal of Global Optimization</i> 80 (2021): 3–29. <a href=\"https://doi.org/10.1007/s10898-020-00983-z\">https://doi.org/10.1007/s10898-020-00983-z</a>.","short":"B. Gebken, S. Peitz, Journal of Global Optimization 80 (2021) 3–29."},"doi":"10.1007/s10898-020-00983-z","main_file_link":[{"open_access":"1","url":"https://link.springer.com/content/pdf/10.1007/s10898-020-00983-z.pdf"}],"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:48Z","intvolume":"        80","title":"Inverse multiobjective optimization: Inferring decision criteria from data","year":"2021","author":[{"first_name":"Bennet","last_name":"Gebken","full_name":"Gebken, Bennet","id":"32643"},{"full_name":"Peitz, Sebastian","orcid":"https://orcid.org/0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","id":"47427"}],"type":"journal_article","department":[{"_id":"101"}],"date_created":"2020-03-13T12:45:05Z","abstract":[{"lang":"eng","text":"It is a challenging task to identify the objectives on which a certain decision was based, in particular if several, potentially conflicting criteria are equally important and a continuous set of optimal compromise decisions exists. This task can be understood as the inverse problem of multiobjective optimization, where the goal is to find the objective function vector of a given Pareto set. To this end, we present a method to construct the objective function vector of an unconstrained multiobjective optimization problem (MOP) such that the Pareto critical set contains a given set of data points with prescribed KKT multipliers. If such an MOP can not be found, then the method instead produces an MOP whose Pareto critical set is at least close to the data points. The key idea is to consider the objective function vector in the multiobjective KKT conditions as variable and then search for the objectives that minimize the Euclidean norm of the resulting system of equations. By expressing the objectives in a finite-dimensional basis, we transform this problem into a homogeneous, linear system of equations that can be solved efficiently. Potential applications of this approach include the identification of objectives (both from clean and noisy data) and the construction of surrogate models for expensive MOPs."}],"publication":"Journal of Global Optimization"},{"citation":{"bibtex":"@inproceedings{Witschen_Wiersema_Raeisi Nafchi_Bockhorn_Platzner, series={Reconfigurable Computing: Architectures, Tools, and Applications}, title={Timing Optimization for Virtual FPGA Configurations}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-79025-7_4\">10.1007/978-3-030-79025-7_4</a>}, booktitle={Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21)}, publisher={Springer Lecture Notes in Computer Science}, author={Witschen, Linus Matthias and Wiersema, Tobias and Raeisi Nafchi, Masood and Bockhorn, Arne and Platzner, Marco}, editor={Hannig, Frank and Derrien, Steven and Diniz, Pedro and Chillet, Daniel}, collection={Reconfigurable Computing: Architectures, Tools, and Applications} }","ama":"Witschen LM, Wiersema T, Raeisi Nafchi M, Bockhorn A, Platzner M. Timing Optimization for Virtual FPGA Configurations. In: Hannig F, Derrien S, Diniz P, Chillet D, eds. <i>Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21)</i>. Reconfigurable Computing: Architectures, Tools, and Applications. Springer Lecture Notes in Computer Science. doi:<a href=\"https://doi.org/10.1007/978-3-030-79025-7_4\">10.1007/978-3-030-79025-7_4</a>","mla":"Witschen, Linus Matthias, et al. “Timing Optimization for Virtual FPGA Configurations.” <i>Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21)</i>, edited by Frank Hannig et al., Springer Lecture Notes in Computer Science, doi:<a href=\"https://doi.org/10.1007/978-3-030-79025-7_4\">10.1007/978-3-030-79025-7_4</a>.","short":"L.M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, M. Platzner, in: F. Hannig, S. Derrien, P. Diniz, D. Chillet (Eds.), Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), Springer Lecture Notes in Computer Science, n.d.","chicago":"Witschen, Linus Matthias, Tobias Wiersema, Masood Raeisi Nafchi, Arne Bockhorn, and Marco Platzner. “Timing Optimization for Virtual FPGA Configurations.” In <i>Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21)</i>, edited by Frank Hannig, Steven Derrien, Pedro Diniz, and Daniel Chillet. Reconfigurable Computing: Architectures, Tools, and Applications. Springer Lecture Notes in Computer Science, n.d. <a href=\"https://doi.org/10.1007/978-3-030-79025-7_4\">https://doi.org/10.1007/978-3-030-79025-7_4</a>.","ieee":"L. M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, and M. Platzner, “Timing Optimization for Virtual FPGA Configurations,” in <i>Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21)</i>, Virtual conference, doi: <a href=\"https://doi.org/10.1007/978-3-030-79025-7_4\">10.1007/978-3-030-79025-7_4</a>.","apa":"Witschen, L. M., Wiersema, T., Raeisi Nafchi, M., Bockhorn, A., &#38; Platzner, M. (n.d.). Timing Optimization for Virtual FPGA Configurations. In F. Hannig, S. Derrien, P. Diniz, &#38; D. Chillet (Eds.), <i>Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21)</i>. Springer Lecture Notes in Computer Science. <a href=\"https://doi.org/10.1007/978-3-030-79025-7_4\">https://doi.org/10.1007/978-3-030-79025-7_4</a>"},"publication":"Proceedings of International Symposium on Applied Reconfigurable Computing (ARC'21)","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"12","name":"SFB 901 - Subproject B4"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"date_created":"2021-05-04T14:18:46Z","department":[{"_id":"78"}],"type":"conference","conference":{"location":"Virtual conference","name":"International Symposium on Applied Reconfigurable Computing","start_date":"2021-06-29","end_date":"2021-07-01"},"author":[{"full_name":"Witschen, Linus Matthias","last_name":"Witschen","first_name":"Linus Matthias","id":"49051"},{"full_name":"Wiersema, Tobias","first_name":"Tobias","last_name":"Wiersema","id":"3118"},{"last_name":"Raeisi Nafchi","first_name":"Masood","full_name":"Raeisi Nafchi, Masood"},{"full_name":"Bockhorn, Arne","first_name":"Arne","last_name":"Bockhorn"},{"id":"398","first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco"}],"year":"2021","status":"public","title":"Timing Optimization for Virtual FPGA Configurations","date_updated":"2022-02-14T11:03:09Z","publication_status":"accepted","_id":"21953","language":[{"iso":"eng"}],"series_title":"Reconfigurable Computing: Architectures, Tools, and Applications","publisher":"Springer Lecture Notes in Computer Science","editor":[{"last_name":"Hannig","first_name":"Frank","full_name":"Hannig, Frank"},{"first_name":"Steven","last_name":"Derrien","full_name":"Derrien, Steven"},{"full_name":"Diniz, Pedro","first_name":"Pedro","last_name":"Diniz"},{"last_name":"Chillet","first_name":"Daniel","full_name":"Chillet, Daniel"}],"doi":"10.1007/978-3-030-79025-7_4","user_id":"3118"},{"department":[{"_id":"52"},{"_id":"57"}],"type":"journal_article","date_created":"2022-01-28T14:11:05Z","citation":{"bibtex":"@article{Weber_Heid_Bode_Lange_Hüllermeier_Wallscheid_2021, title={Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments}, volume={9}, DOI={<a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>}, journal={IEEE Access}, publisher={IEEE}, author={Weber, Daniel and Heid, Stefan and Bode, Henrik and Lange, Jarren and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2021}, pages={35654–35669} }","ama":"Weber D, Heid S, Bode H, Lange J, Hüllermeier E, Wallscheid O. Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. <i>IEEE Access</i>. 2021;9:35654–35669. doi:<a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>","mla":"Weber, Daniel, et al. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” <i>IEEE Access</i>, vol. 9, IEEE, 2021, pp. 35654–35669, doi:<a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>.","short":"D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.","chicago":"Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier, and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” <i>IEEE Access</i> 9 (2021): 35654–35669. <a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">https://doi.org/10.1109/ACCESS.2021.3062144</a>.","ieee":"D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid, “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments,” <i>IEEE Access</i>, vol. 9, pp. 35654–35669, 2021, doi: <a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>.","apa":"Weber, D., Heid, S., Bode, H., Lange, J., Hüllermeier, E., &#38; Wallscheid, O. (2021). Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. <i>IEEE Access</i>, <i>9</i>, 35654–35669. <a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">https://doi.org/10.1109/ACCESS.2021.3062144</a>"},"publication":"IEEE Access","volume":9,"doi":"10.1109/ACCESS.2021.3062144","user_id":"66","language":[{"iso":"eng"}],"_id":"29653","publisher":"IEEE","page":"35654–35669","intvolume":"         9","date_updated":"2022-02-23T08:34:42Z","author":[{"id":"24041","full_name":"Weber, Daniel","orcid":"0000-0003-3367-5998","last_name":"Weber","first_name":"Daniel"},{"last_name":"Heid","orcid":"0000-0002-9461-7372","first_name":"Stefan","full_name":"Heid, Stefan","id":"39640"},{"id":"40880","first_name":"Henrik","last_name":"Bode","full_name":"Bode, Henrik"},{"full_name":"Lange, Jarren","first_name":"Jarren","last_name":"Lange","id":"78801"},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"id":"11291","orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","first_name":"Oliver","full_name":"Wallscheid, Oliver"}],"status":"public","title":"Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments","year":"2021"},{"publication_status":"published","date_updated":"2022-04-18T10:04:16Z","intvolume":"        18","title":"Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis","year":"2021","author":[{"last_name":"Boschmann","first_name":"Alexander","full_name":"Boschmann, Alexander"},{"first_name":"Dorothee","last_name":"Neuhaus","full_name":"Neuhaus, Dorothee"},{"full_name":"Vogt, Sarah","last_name":"Vogt","first_name":"Sarah"},{"last_name":"Kaltschmidt","first_name":"Christian","full_name":"Kaltschmidt, Christian"},{"full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco","id":"398"},{"full_name":"Dosen, Strahinja","last_name":"Dosen","first_name":"Strahinja"}],"publication_identifier":{"issn":["1743-0003"]},"doi":"10.1186/s12984-021-00822-6","article_number":"25","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:sec>\r\n                <jats:title>Background</jats:title>\r\n                <jats:p>Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Methods</jats:title>\r\n                <jats:p>In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Results</jats:title>\r\n                <jats:p>The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7).</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Conclusion</jats:title>\r\n                <jats:p>The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development.</jats:p>\r\n              </jats:sec>"}],"issue":"1","publication":"Journal of NeuroEngineering and Rehabilitation","keyword":["Health Informatics","Rehabilitation"],"type":"journal_article","department":[{"_id":"78"}],"date_created":"2022-04-18T10:02:20Z","status":"public","user_id":"398","volume":18,"publisher":"Springer Science and Business Media LLC","_id":"30906","citation":{"mla":"Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” <i>Journal of NeuroEngineering and Rehabilitation</i>, vol. 18, no. 1, 25, Springer Science and Business Media LLC, 2021, doi:<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>.","bibtex":"@article{Boschmann_Neuhaus_Vogt_Kaltschmidt_Platzner_Dosen_2021, title={Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}, volume={18}, DOI={<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>}, number={125}, journal={Journal of NeuroEngineering and Rehabilitation}, publisher={Springer Science and Business Media LLC}, author={Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}, year={2021} }","ama":"Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. <i>Journal of NeuroEngineering and Rehabilitation</i>. 2021;18(1). doi:<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>","ieee":"A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” <i>Journal of NeuroEngineering and Rehabilitation</i>, vol. 18, no. 1, Art. no. 25, 2021, doi: <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>.","apa":"Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., &#38; Dosen, S. (2021). Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. <i>Journal of NeuroEngineering and Rehabilitation</i>, <i>18</i>(1), Article 25. <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">https://doi.org/10.1186/s12984-021-00822-6</a>","chicago":"Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” <i>Journal of NeuroEngineering and Rehabilitation</i> 18, no. 1 (2021). <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">https://doi.org/10.1186/s12984-021-00822-6</a>.","short":"A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021)."}},{"publication":"Fahrzeug + Karosserie und kfz-betrieb (Hrsg,); Tagungsband zu den Würzburger Karosserie- und Schadenstagen 22./23. Oktober 2021","citation":{"apa":"Wibbeke, T. M., Bartley, A., Chudalla, N., &#38; Meschut, G. (2021). Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise. <i>Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021</i>.","ieee":"T. M. Wibbeke, A. Bartley, N. Chudalla, and G. Meschut, “Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise,” 2021.","short":"T.M. Wibbeke, A. Bartley, N. Chudalla, G. Meschut, in: Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021, 2021.","chicago":"Wibbeke, Tim Michael, Auerélie Bartley, Nick Chudalla, and Gerson Meschut. “Fügen Und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise.” In <i>Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021</i>, 2021.","mla":"Wibbeke, Tim Michael, et al. “Fügen Und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise.” <i>Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021</i>, 2021.","ama":"Wibbeke TM, Bartley A, Chudalla N, Meschut G. Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise. In: <i>Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021</i>. ; 2021.","bibtex":"@inproceedings{Wibbeke_Bartley_Chudalla_Meschut_2021, title={Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise}, booktitle={Fahrzeug + Karosserie und kfz-betrieb (Hrsg,); Tagungsband zu den Würzburger Karosserie- und Schadenstagen 22./23. Oktober 2021}, author={Wibbeke, Tim Michael and Bartley, Auerélie and Chudalla, Nick and Meschut, Gerson}, year={2021} }"},"type":"conference","department":[{"_id":"43"},{"_id":"157"}],"date_created":"2021-10-25T12:05:22Z","date_updated":"2022-04-25T11:24:34Z","year":"2021","title":"Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise","status":"public","author":[{"full_name":"Wibbeke, Tim Michael","first_name":"Tim Michael","last_name":"Wibbeke"},{"first_name":"Auerélie","last_name":"Bartley","full_name":"Bartley, Auerélie"},{"last_name":"Chudalla","first_name":"Nick","full_name":"Chudalla, Nick","id":"41235"},{"full_name":"Meschut, Gerson","orcid":"0000-0002-2763-1246","first_name":"Gerson","last_name":"Meschut","id":"32056"}],"user_id":"41235","language":[{"iso":"eng"}],"_id":"26821"},{"publication":"EURO Journal on Transportation and Logistics","ec_funded":"1","file":[{"relation":"main_file","date_updated":"2022-06-09T11:20:09Z","file_name":"1-s2.0-S2192437621000200-main.pdf","access_level":"open_access","file_size":4966940,"file_id":"31846","content_type":"application/pdf","creator":"hsiemes","date_created":"2022-06-09T11:20:09Z"}],"date_created":"2021-08-24T09:20:08Z","type":"journal_article","department":[{"_id":"277"}],"title":"Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules","year":"2021","author":[{"id":"64135","full_name":"Stumpe, Miriam","first_name":"Miriam","last_name":"Stumpe"},{"full_name":"Rößler, David","first_name":"David","last_name":"Rößler"},{"full_name":"Schryen, Guido","last_name":"Schryen","first_name":"Guido","id":"72850"},{"full_name":"Kliewer, Natalia","last_name":"Kliewer","first_name":"Natalia"}],"date_updated":"2022-06-10T06:49:27Z","intvolume":"        10","article_number":"100049","language":[{"iso":"eng"}],"doi":"https://doi.org/10.1016/j.ejtl.2021.100049","file_date_updated":"2022-06-09T11:20:09Z","citation":{"mla":"Stumpe, Miriam, et al. “Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules.” <i>EURO Journal on Transportation and Logistics</i>, vol. 10, 100049, 2021, doi:<a href=\"https://doi.org/10.1016/j.ejtl.2021.100049\">https://doi.org/10.1016/j.ejtl.2021.100049</a>.","ama":"Stumpe M, Rößler D, Schryen G, Kliewer N. Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules. <i>EURO Journal on Transportation and Logistics</i>. 2021;10. doi:<a href=\"https://doi.org/10.1016/j.ejtl.2021.100049\">https://doi.org/10.1016/j.ejtl.2021.100049</a>","bibtex":"@article{Stumpe_Rößler_Schryen_Kliewer_2021, title={Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules}, volume={10}, DOI={<a href=\"https://doi.org/10.1016/j.ejtl.2021.100049\">https://doi.org/10.1016/j.ejtl.2021.100049</a>}, number={100049}, journal={EURO Journal on Transportation and Logistics}, author={Stumpe, Miriam and Rößler, David and Schryen, Guido and Kliewer, Natalia}, year={2021} }","apa":"Stumpe, M., Rößler, D., Schryen, G., &#38; Kliewer, N. (2021). Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules. <i>EURO Journal on Transportation and Logistics</i>, <i>10</i>, Article 100049. <a href=\"https://doi.org/10.1016/j.ejtl.2021.100049\">https://doi.org/10.1016/j.ejtl.2021.100049</a>","ieee":"M. Stumpe, D. Rößler, G. Schryen, and N. Kliewer, “Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules,” <i>EURO Journal on Transportation and Logistics</i>, vol. 10, Art. no. 100049, 2021, doi: <a href=\"https://doi.org/10.1016/j.ejtl.2021.100049\">https://doi.org/10.1016/j.ejtl.2021.100049</a>.","chicago":"Stumpe, Miriam, David Rößler, Guido Schryen, and Natalia Kliewer. “Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules.” <i>EURO Journal on Transportation and Logistics</i> 10 (2021). <a href=\"https://doi.org/10.1016/j.ejtl.2021.100049\">https://doi.org/10.1016/j.ejtl.2021.100049</a>.","short":"M. Stumpe, D. Rößler, G. Schryen, N. Kliewer, EURO Journal on Transportation and Logistics 10 (2021)."},"project":[{"name":"An integrated development environment for portable network applications","_id":"21","grant_number":"619543","call_identifier":"FP7-ICT-2013-11"}],"oa":"1","status":"public","has_accepted_license":"1","_id":"23494","user_id":"72850","ddc":["000"],"volume":10},{"title":"Joining with Friction Spun Joint Connectors – Manufacturing and Analysis","status":"public","year":"2021","author":[{"full_name":"Wischer, Christian","first_name":"Christian","last_name":"Wischer","id":"72219"},{"last_name":"Steinfelder","first_name":"Christian","full_name":"Steinfelder, Christian"},{"full_name":"Homberg, Werner","first_name":"Werner","last_name":"Homberg"},{"full_name":"Brosius, Alexander","first_name":"Alexander","last_name":"Brosius"}],"date_updated":"2022-12-23T15:13:27Z","intvolume":"      1157","page":"012007","_id":"30649","language":[{"iso":"eng"}],"doi":"10.1088/1757-899x/1157/1/012007","user_id":"14931","volume":1157,"publication":"IOP Conference Series: Materials Science and Engineering","citation":{"mla":"Wischer, Christian, et al. “Joining with Friction Spun Joint Connectors – Manufacturing and Analysis.” <i>IOP Conference Series: Materials Science and Engineering</i>, vol. 1157, 2021, p. 012007, doi:<a href=\"https://doi.org/10.1088/1757-899x/1157/1/012007\">10.1088/1757-899x/1157/1/012007</a>.","ama":"Wischer C, Steinfelder C, Homberg W, Brosius A. Joining with Friction Spun Joint Connectors – Manufacturing and Analysis. <i>IOP Conference Series: Materials Science and Engineering</i>. 2021;1157:012007. doi:<a href=\"https://doi.org/10.1088/1757-899x/1157/1/012007\">10.1088/1757-899x/1157/1/012007</a>","bibtex":"@article{Wischer_Steinfelder_Homberg_Brosius_2021, title={Joining with Friction Spun Joint Connectors – Manufacturing and Analysis}, volume={1157}, DOI={<a href=\"https://doi.org/10.1088/1757-899x/1157/1/012007\">10.1088/1757-899x/1157/1/012007</a>}, journal={IOP Conference Series: Materials Science and Engineering}, author={Wischer, Christian and Steinfelder, Christian and Homberg, Werner and Brosius, Alexander}, year={2021}, pages={012007} }","apa":"Wischer, C., Steinfelder, C., Homberg, W., &#38; Brosius, A. (2021). Joining with Friction Spun Joint Connectors – Manufacturing and Analysis. <i>IOP Conference Series: Materials Science and Engineering</i>, <i>1157</i>, 012007. <a href=\"https://doi.org/10.1088/1757-899x/1157/1/012007\">https://doi.org/10.1088/1757-899x/1157/1/012007</a>","ieee":"C. Wischer, C. Steinfelder, W. Homberg, and A. Brosius, “Joining with Friction Spun Joint Connectors – Manufacturing and Analysis,” <i>IOP Conference Series: Materials Science and Engineering</i>, vol. 1157, p. 012007, 2021, doi: <a href=\"https://doi.org/10.1088/1757-899x/1157/1/012007\">10.1088/1757-899x/1157/1/012007</a>.","chicago":"Wischer, Christian, Christian Steinfelder, Werner Homberg, and Alexander Brosius. “Joining with Friction Spun Joint Connectors – Manufacturing and Analysis.” <i>IOP Conference Series: Materials Science and Engineering</i> 1157 (2021): 012007. <a href=\"https://doi.org/10.1088/1757-899x/1157/1/012007\">https://doi.org/10.1088/1757-899x/1157/1/012007</a>.","short":"C. Wischer, C. Steinfelder, W. Homberg, A. Brosius, IOP Conference Series: Materials Science and Engineering 1157 (2021) 012007."},"abstract":[{"text":"Nowadays, the production of modern lightweight structures, like a body in white structure requires a wide variety of mechanical joining processes. To fulfill the various demands, mechanical joining processes and joining elements (JE) are used. Very often, they are adapted to the application, which leads in turn to a numerous of different variants, high costs, and loss of the process chain versatility. To overcome this drawback, an innovative approach is the usage of individually produced and task-adapted JE, the so-called friction spun joint connectors (FSJC). These connectors can be modified in shape as well as in material properties. This flexibility offers high potential for lightweight design but also increases the necessary analytical effort regarding the forming process as well as the manufactured joint's properties. Therefore, a new analysis strategy based on the Finite-Element-Method (FEM) is proposed, which numerically determines the local load bearing capacity within a given joint in order to identify the critical regions for load transfer. The process of joining element manufacturing and the analysis strategy will be described in detail and optimization results of the joints are shown. Numerical results are discussed and possible recommendations for joint manufacturing are derived.","lang":"eng"}],"project":[{"grant_number":"418701707","_id":"130","name":"TRR 285: TRR 285"},{"name":"TRR 285 - C: TRR 285 - Project Area C","_id":"133"},{"name":"TRR 285 – C03: TRR 285 - Subproject C03","_id":"147"},{"name":"TRR 285 - B: TRR 285 - Project Area B","_id":"132"},{"_id":"140","name":"TRR 285 – B01: TRR 285 - Subproject B01"}],"date_created":"2022-03-28T12:46:21Z","type":"journal_article","department":[{"_id":"156"},{"_id":"630"}]}]
