@article{KalbeKuropkaMeyerStorketal.1988, author = {Kalbe, Jochen and Kuropka, Rolf and Meyer-Stork, L. Sebastian and Berndt, Heinz and Sauter, Sybille L. and Loss, Peter and Hendo, Karsten and Riesner, Detlev and H{\"o}cker, Hartwig}, title = {Isolation and characterization of high-molecular mass DNA from hair shafts}, series = {Biological chemistry}, volume = {369}, journal = {Biological chemistry}, number = {1}, isbn = {0177-3593}, doi = {10.1515/bchm3.1988.369.1.413}, pages = {413 -- 416}, year = {1988}, language = {en} } @article{KalbeHoeckerBerndt1989, author = {Kalbe, Jochen and H{\"o}cker, Hartwig and Berndt, Heinz}, title = {Design of enzyme reactors as chromatographic columns for racemic resolution of amino acid esters}, series = {Chromatographia}, volume = {28}, journal = {Chromatographia}, number = {3-4}, isbn = {0009-5893}, doi = {10.1007/BF02319646}, pages = {193 -- 196}, year = {1989}, language = {en} } @article{KahmannRauschPluemeretal.2022, author = {Kahmann, Stephanie L. and Rausch, Valentin and Pl{\"u}mer, Jonathan and M{\"u}ller, Lars P. and Pieper, Martin and Wegmann, Kilian}, title = {The automized fracture edge detection and generation of three-dimensional fracture probability heat maps}, series = {Medical Engineering \& Physics}, volume = {2022}, journal = {Medical Engineering \& Physics}, number = {110}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1350-4533}, pages = {7 Seiten}, year = {2022}, abstract = {With proven impact of statistical fracture analysis on fracture classifications, it is desirable to minimize the manual work and to maximize repeatability of this approach. We address this with an algorithm that reduces the manual effort to segmentation, fragment identification and reduction. The fracture edge detection and heat map generation are performed automatically. With the same input, the algorithm always delivers the same output. The tool transforms one intact template consecutively onto each fractured specimen by linear least square optimization, detects the fragment edges in the template and then superimposes them to generate a fracture probability heat map. We hypothesized that the algorithm runs faster than the manual evaluation and with low (< 5 mm) deviation. We tested the hypothesis in 10 fractured proximal humeri and found that it performs with good accuracy (2.5 mm ± 2.4 mm averaged Euclidean distance) and speed (23 times faster). When applied to a distal humerus, a tibia plateau, and a scaphoid fracture, the run times were low (1-2 min), and the detected edges correct by visual judgement. In the geometrically complex acetabulum, at a run time of 78 min some outliers were considered acceptable. An automatically generated fracture probability heat map based on 50 proximal humerus fractures matches the areas of high risk of fracture reported in medical literature. Such automation of the fracture analysis method is advantageous and could be extended to reduce the manual effort even further.}, language = {en} } @article{JoerissenHeger2014, author = {J{\"o}rissen, J{\"o}rg and Heger, Michael}, title = {Zur Wirkung hochschuldidaktisch fundierter und in den Fachbereichen verankerter Lehrveranstaltungsevaluation}, series = {Qualit{\"a}t in der Wissenschaft (QiW)}, volume = {8}, journal = {Qualit{\"a}t in der Wissenschaft (QiW)}, number = {2+3}, publisher = {Universit{\"a}tsverlag Webler}, address = {Bielefeld}, issn = {1860-3041}, pages = {70 -- 80}, year = {2014}, language = {de} } @article{JungbluthBorchert2008, author = {Jungbluth, Christian and Borchert, J{\"o}rg}, title = {M{\"o}glichkeiten der Strompreisbeeinflussung im oligopolistischen Markt}, series = {ZNER Zeitschrift f{\"u}r Neues Energierecht}, journal = {ZNER Zeitschrift f{\"u}r Neues Energierecht}, number = {4}, pages = {314 -- 323}, year = {2008}, language = {de} } @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} } @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} } @article{JungStaat2020, author = {Jung, Alexander and Staat, Manfred}, title = {Erratum to "Modeling and simulation of human induced pluripotent stem cell-derived cardiac tissue" [GAMM-Mitteilungen, (2019), 42, 4, 10.1002/gamm.201900002]}, series = {GAMM-Mitteilungen}, volume = {43}, journal = {GAMM-Mitteilungen}, number = {4}, publisher = {Wiley-VCH GmbH}, address = {Weinheim}, issn = {1522-2608}, doi = {10.1002/gamm.202000011}, year = {2020}, language = {en} } @article{JungStaat2019, author = {Jung, Alexander and Staat, Manfred}, title = {Modeling and simulation of human induced pluripotent stem cell-derived cardiac tissue}, series = {GAMM - Mitteilungen der Gesellschaft f{\"u}r Angewandte Mathematik und Mechanik}, volume = {42}, journal = {GAMM - Mitteilungen der Gesellschaft f{\"u}r Angewandte Mathematik und Mechanik}, number = {4}, publisher = {Wiley}, address = {Weinheim}, issn = {1522-2608}, doi = {10.1002/gamm.201900002}, pages = {11 Seiten}, year = {2019}, 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} }