@article{JungStaatMueller2013,
  author    = {Jung, Alexander and Staat, Manfred and M{\"u}ller, Wolfram},
  title     = {Flight style optimization in ski jumping on normal, large, and ski flying hills},
  series = {Journal of biomechanics},
  volume    = {Vol. 47},
  journal   = {Journal of biomechanics},
  number    = {Iss. 3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1873-2380 (E-Journal); 0021-9290 (Print)},
  pages     = {716 -- 722},
  year      = {2013},
  language  = {en}
}
@inproceedings{JungStaatMueller2014,
  author    = {Jung, Alexander and Staat, Manfred and M{\"u}ller, Wolfram},
  title     = {Optimization of the flight style in ski jumping},
  series = {11th World Congress on Computational Mechanics (WCCM XI) ; 5th European Conference on Computational Mechanics (ECCM V) ; 6th European Conference on Computational Fluid Dynamics (ECFD VI) ; July 20 - 25, 2014, Barcelona},
  booktitle = {11th World Congress on Computational Mechanics (WCCM XI) ; 5th European Conference on Computational Mechanics (ECCM V) ; 6th European Conference on Computational Fluid Dynamics (ECFD VI) ; July 20 - 25, 2014, Barcelona},
  editor    = {Onate, E.},
  organization    = {World Congress on Computational Mechanics <11, 2014, Barcelona>},
  pages     = {799 -- 810},
  year      = {2014},
  language  = {en}
}
@incollection{MuellerJungSchmoelzer2015,
  author    = {Mueller, Wolfram and Jung, Alexander and Schm{\"o}lzer, Bernhard},
  title     = {Der Einfluss der H{\"o}he {\"u}ber dem Meeresspiegel auf die Flugbahnen im Schispringen},
  series = {Jahrbuch 2015 - {\"O}sterreichische Gesellschaft f{\"u}r Alpin- und H{\"o}henmedizin},
  booktitle = {Jahrbuch 2015 - {\"O}sterreichische Gesellschaft f{\"u}r Alpin- und H{\"o}henmedizin},
  editor    = {Faulhaber, Martin and Schobersberger, Wolfgang and Schobersberger, Beatrix and Sumann, G{\"u}nther and Domej, Wolfgang},
  publisher = {{\"O}sterreichische Gesellschaft f{\"u}r Alpin- und H{\"o}henmedizin},
  address   = {Innsbruck},
  isbn      = {978-3-9501312-5-3},
  pages     = {173 -- 190},
  year      = {2015},
  language  = {de}
}
@inproceedings{JungStaatMueller2016,
  author    = {Jung, Alexander and Staat, Manfred and M{\"u}ller, Wolfram},
  title     = {Effect of wind on flight style optimisation in ski jumping},
  series = {15th International Symposium on Computer Simulation in Biomechanics ; July 9th-11th 2015, Edinburgh, UK},
  booktitle = {15th International Symposium on Computer Simulation in Biomechanics ; July 9th-11th 2015, Edinburgh, UK},
  publisher = {The University of Edinburgh ; Loughborough University},
  address   = {Edinburgh},
  pages     = {53 -- 54},
  year      = {2016},
  language  = {en}
}
@inproceedings{JungStaat2016,
  author    = {Jung, Alexander and Staat, Manfred},
  title     = {Computing olympic gold: Ski jumping as an example},
  series = {1st YRA MedTech Symposium 2016 : April 8th / 2016 / University of Duisburg-Essen},
  booktitle = {1st YRA MedTech Symposium 2016 : April 8th / 2016 / University of Duisburg-Essen},
  editor    = {Erni, Daniel},
  publisher = {Universit{\"a}t Duisburg-Essen},
  address   = {Duisburg},
  organization    = {MedTech Symposium},
  isbn      = {978-3-940402-06-6},
  doi       = {10.17185/duepublico/40821},
  pages     = {54 -- 55},
  year      = {2016},
  language  = {en}
}
@inproceedings{DuongJungFrotscheretal.2016,
  author    = {Duong, Minh Tuan and Jung, Alexander and Frotscher, Ralf and Staat, Manfred},
  title     = {A 3D electromechanical FEM-based model for cardiac tissue},
  series = {ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering. Crete Island, Greece, 5-10 June 2016},
  booktitle = {ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering. Crete Island, Greece, 5-10 June 2016},
  editor    = {Papadrakakis, M.},
  pages     = {13 S.},
  year      = {2016},
  language  = {en}
}
@article{MuellerJungAhammer2017,
  author    = {M{\"u}ller, Wolfram and Jung, Alexander and Ahammer, Helmut},
  title     = {Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example},
  series = {Scientific Reports},
  volume    = {7},
  journal   = {Scientific Reports},
  number    = {Article number 2464},
  publisher = {Springer Nature},
  address   = {Cham},
  isbn      = {2045-2322},
  doi       = {10.1038/s41598-017-02665-5},
  pages     = {1 -- 11},
  year      = {2017},
  language  = {en}
}
@article{JungMuellerStaat2018,
  author    = {Jung, Alexander and M{\"u}ller, Wolfram and Staat, Manfred},
  title     = {Wind and fairness in ski jumping: A computer modelling analysis},
  series = {Journal of Biomechanics},
  journal   = {Journal of Biomechanics},
  number    = {75},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0021-9290},
  doi       = {10.1016/j.jbiomech.2018.05.001},
  pages     = {147 -- 153},
  year      = {2018},
  abstract  = {Wind is closely associated with the discussion of fairness in ski jumping. To counter-act its influence on the jump length, the International Ski Federation (FIS) has introduced a wind compensation approach. We applied three differently accurate computer models of the flight phase with wind (M1, M2, and M3) to study the jump length effects of various wind scenarios. The previously used model M1 is accurate for wind blowing in direction of the flight path, but inaccuracies are to be expected for wind directions deviating from the tangent to the flight path. M2 considers the change of airflow direction, but it does not consider the associated change in the angle of attack of the skis which additionally modifies drag and lift area time functions. M3 predicts the length effect for all wind directions within the plane of the flight trajectory without any mathematical simplification. Prediction errors of M3 are determined only by the quality of the input data: wind velocity, drag and lift area functions, take-off velocity, and weight. For comparing the three models, drag and lift area functions of an optimized reference jump were used. Results obtained with M2, which is much easier to handle than M3, did not deviate noticeably when compared to predictions of the reference model M3. Therefore, we suggest to use M2 in future applications. A comparison of M2 predictions with the FIS wind compensation system showed substantial discrepancies, for instance: in the first flight phase, tailwind can increase jump length, and headwind can decrease it; this is opposite of what had been anticipated before and is not considered in the current wind compensation system in ski jumping.},
  language  = {en}
}
@article{JungStaatMueller2018,
  author    = {Jung, Alexander and Staat, Manfred and M{\"u}ller, Wolfram},
  title     = {Corrigendum to "Flight style optimization in ski jumping on normal, large, and ski flying hills" [J. Biomech 47 (2014) 716-722]},
  series = {Journals of Biomechanics},
  journal   = {Journals of Biomechanics},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0021-9290},
  doi       = {10.1016/j.jbiomech.2018.02.001},
  pages     = {313},
  year      = {2018},
  language  = {en}
}
@inproceedings{JungFrotscherStaat2018,
  author    = {Jung, Alexander and Frotscher, Ralf and Staat, Manfred},
  title     = {Electromechanical model of hiPSC-derived ventricular cardiomyocytes cocultured with fibroblasts},
  series = {6th European Conference on Computational Mechanics (ECCM 6), 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15 June 2018, Glasgow, UK},
  booktitle = {6th European Conference on Computational Mechanics (ECCM 6), 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15 June 2018, Glasgow, UK},
  pages     = {11 Seiten},
  year      = {2018},
  abstract  = {The CellDrum provides an experimental setup to study the mechanical effects of fibroblasts co-cultured with hiPSC-derived ventricular cardiomyocytes. Multi-scale computational models based on the Finite Element Method are developed. Coupled electrical cardiomyocyte-fibroblast models (cell level) are embedded into reaction-diffusion equations (tissue level) which compute the propagation of the action potential in the cardiac tissue. Electromechanical coupling is realised by an excitation-contraction model (cell level) and the active stress arising during contraction is added to the passive stress in the force balance, which determines the tissue displacement (tissue level). Tissue parameters in the model can be identified experimentally to the specific sample.},
  language  = {en}
}