@inproceedings{LorenzAltherrPelz2019,
  author    = {Lorenz, Imke-Sophie B. and Altherr, Lena and Pelz, Peter F.},
  title     = {Graph-theoretic resilience analysis of a water distribution system's topology},
  series = {World Congress on Resilience, Reliability and Asset Management 2019},
  booktitle = {World Congress on Resilience, Reliability and Asset Management 2019},
  pages     = {106 -- 109},
  year      = {2019},
  abstract  = {Water suppliers are faced with the great challenge of achieving high-quality and, at the same time, low-cost water supply. In practice, the focus is set on the most beneficial maintenance measures and/or capacity adaptations of existing water distribution systems (WDS). Since climatic and demographic influences will pose further challenges in the future, the resilience enhancement of WDS, i.e. the enhancement of their capability to withstand and recover from disturbances, has been in particular focus recently. To assess the resilience of WDS, metrics based on graph theory have been proposed. In this study, a promising approach is applied to assess the resilience of the WDS for a district in a major German City. The conducted analysis provides insight into the process of actively influencing the resilience of WDS},
  language  = {en}
}
@article{LinderBecklerDoerretal.2019,
  author    = {Linder, Peter and Beckler, Matthias and Doerr, Leo and Stoelzle-Feix, Sonja and Fertig, Niels and Jung, Alexander and Staat, Manfred and Gossmann, Matthias},
  title     = {A new in vitro tool to investigate cardiac contractility under physiological mechanical conditions},
  series = {Journal of Pharmacological and Toxicological Methods},
  volume    = {99},
  journal   = {Journal of Pharmacological and Toxicological Methods},
  number    = {Article number 106595},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1056-8719},
  doi       = {10.1016/j.vascn.2019.05.162},
  year      = {2019},
  language  = {en}
}
@article{LimpertWiesenFerreinetal.2019,
  author    = {Limpert, Nicolas and Wiesen, Patrick and Ferrein, Alexander and Kallweit, Stephan and Schiffer, Stefan},
  title     = {The ROSIN Project and its Outreach to South Africa},
  series = {R\&D Journal},
  volume    = {35},
  journal   = {R\&D Journal},
  pages     = {1 -- 6},
  year      = {2019},
  language  = {en}
}
@article{LeschingerBirgelHackletal.2019,
  author    = {Leschinger, Tim and Birgel, Stefan and Hackl, Michael and Staat, Manfred and M{\"u}ller, Lars Peter and Wegmann, Kilian},
  title     = {A musculoskeletal shoulder simulation of moment arms and joint reaction forces after medialization of the supraspinatus footprint in rotator cuff repair},
  series = {Computer Methods in Biomechanics and Biomedical Engineering},
  journal   = {Computer Methods in Biomechanics and Biomedical Engineering},
  number    = {Early view},
  publisher = {Taylor \& Francis},
  address   = {London},
  doi       = {10.1080/10255842.2019.1572749},
  year      = {2019},
  language  = {en}
}
@article{LeschingerBeschAydinetal.2019,
  author    = {Leschinger, Tim and Besch, Katharina and Aydin, Cansu and Staat, Manfred and Scaal, Martin and M{\"u}ller, Lars Peter and Wegmann, Kilian},
  title     = {Irreparable rotator cuff tears: a biomechanical comparison of superior capsuloligamentous complex reconstruction techniques and an interposition graft technique},
  series = {The Orthopaedic Journal of Sports Medicine},
  volume    = {7},
  journal   = {The Orthopaedic Journal of Sports Medicine},
  number    = {8},
  doi       = {10.1177/2325967119864590},
  pages     = {1 -- 5},
  year      = {2019},
  language  = {en}
}
@incollection{LeiseAltherrSimonetal.2019,
  author    = {Leise, Philipp and Altherr, Lena and Simon, Nicolai and Pelz, Peter F.},
  title     = {Finding global-optimal gearbox designs for battery electric vehicles},
  series = {Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019},
  booktitle = {Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-21802-7},
  doi       = {10.1007/978-3-030-21803-4_91},
  pages     = {916 -- 925},
  year      = {2019},
  abstract  = {In order to maximize the possible travel distance of battery electric vehicles with one battery charge, it is mandatory to adjust all components of the powertrain carefully to each other. While current vehicle designs mostly simplify the powertrain rigorously and use an electric motor in combination with a gearbox with only one fixed transmission ratio, the use of multi-gear systems has great potential. First, a multi-speed system is able to improve the overall energy efficiency. Secondly, it is able to reduce the maximum momentum and therefore to reduce the maximum current provided by the traction battery, which results in a longer battery lifetime. In this paper, we present a systematic way to generate multi-gear gearbox designs that—combined with a certain electric motor—lead to the most efficient fulfillment of predefined load scenarios and are at the same time robust to uncertainties in the load. Therefore, we model the electric motor and the gearbox within a Mixed-Integer Nonlinear Program, and optimize the efficiency of the mechanical parts of the powertrain. By combining this mathematical optimization program with an unsupervised machine learning algorithm, we are able to derive global-optimal gearbox designs for practically relevant momentum and speed requirements.},
  language  = {en}
}
@article{Kurz2019,
  author    = {Kurz, Melanie},
  title     = {Images of Sweden in Germany: from Sundborn and Bullerby to Ikea},
  series = {nomad: the magazine for new design culture, business affairs and contemporary lifestyle},
  journal   = {nomad: the magazine for new design culture, business affairs and contemporary lifestyle},
  number    = {8},
  isbn      = {2513-0714},
  pages     = {136 -- 147},
  year      = {2019},
  language  = {en}
}
@article{KunkelGebhardtMpofuetal.2019,
  author    = {Kunkel, Maximilian Hugo and Gebhardt, Andreas and Mpofu, Khumbulani and Kallweit, Stephan},
  title     = {Quality assurance in metal powder bed fusion via deep-learning-based image classification},
  series = {Rapid Prototyping Journal},
  volume    = {26},
  journal   = {Rapid Prototyping Journal},
  number    = {2},
  issn      = {1355-2546},
  doi       = {10.1108/RPJ-03-2019-0066},
  pages     = {259 -- 266},
  year      = {2019},
  language  = {en}
}
@article{KromeHoeftSander2019,
  author    = {Krome, Cornelia and H{\"o}ft, Jan and Sander, Volker},
  title     = {Clustering time series applied to energy markets},
  series = {Energy Informatics},
  volume    = {2},
  journal   = {Energy Informatics},
  number    = {Article numer 17},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {2520-8942},
  doi       = {10.1186/s42162-019-0076-0},
  pages     = {1 -- 20},
  year      = {2019},
  language  = {en}
}
@article{KramerValeroChansonetal.2019,
  author    = {Kramer, Matthias and Valero, Daniel and Chanson, Hubert and Bung, Daniel B.},
  title     = {Towards reliable turbulence estimations with phase-detection probes: an adaptive window cross-correlation technique},
  series = {Experiments in Fluids},
  volume    = {60},
  journal   = {Experiments in Fluids},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1432-1114},
  doi       = {10.1007/s00348-018-2650-9},
  year      = {2019},
  language  = {en}
}