@inproceedings{BehbahaniRibleMoulinecetal.2015,
  author    = {Behbahani, Mehdi and Rible, Sebastian and Moulinec, Charles and Fournier, Yvan and Nicolai, Mike and Crosetto, Paolo},
  title     = {Simulation of the FDA Centrifugal Blood Pump Using High Performance Computing},
  series = {World Academy of Science, Engineering and Technology International Journal of Mechanical and Mechatronics Engineering},
  volume    = {9},
  booktitle = {World Academy of Science, Engineering and Technology International Journal of Mechanical and Mechatronics Engineering},
  number    = {5},
  year      = {2015},
  language  = {en}
}
@inproceedings{EssingholtMeyerKuhnetal.2018,
  author    = {Essingholt, Felix and Meyer, Frederic and Kuhn, Peter and Schmidt, Philip and Benkner, Thorsten and Grabmaier, Anton},
  title     = {Non-invasive heart beat measurement using microwave resonators},
  series = {Proceedings, Vol. 2, Eurosensors 2018 Conference, Graz, Austria, 9-12 September 2018},
  booktitle = {Proceedings, Vol. 2, Eurosensors 2018 Conference, Graz, Austria, 9-12 September 2018},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2504-3900},
  doi       = {10.3390/proceedings2131002},
  pages     = {1002},
  year      = {2018},
  language  = {en}
}
@incollection{KrollLudwigs2008,
  author    = {Kroll-Ludwigs, Kathrin},
  title     = {Unification of Conflict of Laws in Europe. Matrimonial Property Regimes},
  series = {European Challenges in Contemporary Family Law},
  booktitle = {European Challenges in Contemporary Family Law},
  editor    = {Boele-Woelki, Katharina},
  publisher = {Intersentia},
  address   = {Antwerpen},
  isbn      = {978-90-5095-692-5},
  pages     = {379 -- 393},
  year      = {2008},
  language  = {en}
}
@article{EckertAbbasiMangetal.2020,
  author    = {Eckert, Alexander and Abbasi, Mozhdeh and Mang, Thomas and Saalw{\"a}chter, Kay and Walther, Andreas},
  title     = {Structure, Mechanical Properties, and Dynamics of Polyethylenoxide/Nanoclay Nacre-Mimetic Nanocomposites},
  series = {Macromolecules},
  volume    = {53},
  journal   = {Macromolecules},
  number    = {5},
  publisher = {ACS Publications},
  address   = {Washington, DC},
  issn      = {1520-5835},
  doi       = {10.1021/acs.macromol.9b01931},
  pages     = {1716 -- 1725},
  year      = {2020},
  abstract  = {Nacre-mimetic nanocomposites based on high fractions of synthetic high-aspect-ratio nanoclays in combination with polymers are continuously pushing boundaries for advanced material properties, such as high barrier against oxygen, extraordinary mechanical behavior, fire shielding, and glass-like transparency. Additionally, they provide interesting model systems to study polymers under nanoconfinement due to the well-defined layered nanocomposite arrangement. Although the general behavior in terms of forming such layered nanocomposite materials using evaporative self-assembly and controlling the nanoclay gallery spacing by the nanoclay/polymer ratio is understood, some combinations of polymer matrices and nanoclay reinforcement do not comply with the established models. Here, we demonstrate a thorough characterization and analysis of such an unusual polymer/nanoclay pair that falls outside of the general behavior. Poly(ethylene oxide) (PEO) and sodium fluorohectorite form nacre-mimetic, lamellar nanocomposites that are completely transparent and show high mechanical stiffness and high gas barrier, but there is only limited expansion of the nanoclay gallery spacing when adding increasing amounts of polymer. This behavior is maintained for molecular weights of PEO varied over four orders of magnitude and can be traced back to depletion forces. By careful investigation via X-ray diffraction and proton low-resolution solid-state NMR, we are able to quantify the amount of mobile and immobilized polymer species in between the nanoclay galleries and around proposed tactoid stacks embedded in a PEO matrix. We further elucidate the unusual confined polymer dynamics, indicating a relevant role of specific surface interactions.},
  language  = {en}
}
@article{JildehWagnerSchoening2021,
  author    = {Jildeh, Zaid B. and Wagner, Patrick H. and Sch{\"o}ning, Michael Josef},
  title     = {Sterilization of Objects, Products, and Packaging Surfaces and Their Characterization in Different Fields of Industry: The Status in 2020},
  series = {physica status solidi (a) applications and materials science},
  volume    = {218},
  journal   = {physica status solidi (a) applications and materials science},
  number    = {13},
  publisher = {Wiley-VCH},
  address   = {Weinheim},
  issn      = {1862-6319},
  doi       = {10.1002/pssa.202000732},
  pages     = {27 Seiten},
  year      = {2021},
  abstract  = {The treatment method to deactivate viable microorganisms from objects or products is termed sterilization. There are multiple forms of sterilization, each intended to be applied for a specific target, which depends on—but not limited to—the thermal, physical, and chemical stability of that target. Herein, an overview on the currently used sterilization processes in the global market is provided. Different sterilization techniques are grouped under a category that describes the method of treatment: radiation (gamma, electron beam, X-ray, and ultraviolet), thermal (dry and moist heat), and chemical (ethylene oxide, ozone, chlorine dioxide, and hydrogen peroxide). For each sterilization process, the typical process parameters as defined by regulations and the mode of antimicrobial activity are summarized. Finally, the recommended microorganisms that are used as biological indicators to validate sterilization processes in accordance with the rules that are established by various regulatory agencies are summarized.},
  language  = {en}
}
@phdthesis{Bayer2021,
  author    = {Bayer, Robin},
  title     = {Development of a novel in-vitro vascular model for determination of physiological and pathophysiological mechanobiology},
  publisher = {Universit{\"a}t zu K{\"o}ln},
  address   = {K{\"o}ln},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:38-362212},
  pages     = {IV, 115 Seiten},
  year      = {2021},
  language  = {en}
}
@article{MolinnusDrinicIkenetal.2021,
  author    = {Molinnus, Denise and Drinic, Aleksander and Iken, Heiko and Kr{\"o}ger, Nadja and Zinser, Max and Smeets, Ralf and K{\"o}pf, Marius and Kopp, Alexander and Sch{\"o}ning, Michael Josef},
  title     = {Towards a flexible electrochemical biosensor fabricated from biocompatible Bombyx mori silk},
  series = {Biosensors and Bioelectronics},
  volume    = {183},
  journal   = {Biosensors and Bioelectronics},
  number    = {Art. 113204},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0956-5663},
  doi       = {10.1016/j.bios.2021.113204},
  year      = {2021},
  language  = {en}
}
@article{YoshinobuSchoening2021,
  author    = {Yoshinobu, Tatsuo and Sch{\"o}ning, Michael Josef},
  title     = {Light-addressable potentiometric sensors (LAPS) for cell monitoring and biosensing},
  series = {Current Opinion in Electrochemistry},
  journal   = {Current Opinion in Electrochemistry},
  number    = {In Press, Journal Pre-proof},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2451-9103},
  doi       = {10.1016/j.coelec.2021.100727},
  year      = {2021},
  language  = {en}
}
@incollection{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib},
  title     = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation},
  series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  publisher = {IOS Press},
  address   = {Amsterdam},
  isbn      = {978-1-64368-137-5},
  doi       = {10.3233/FAIA200770},
  pages     = {89 -- 97},
  year      = {2020},
  abstract  = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.},
  language  = {en}
}
@article{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and C{\"o}nen, Patrick and Dawar, Harshal},
  title     = {OMNIVIL - an autonomous mobile manipulator for flexible production},
  series = {Sensors},
  volume    = {20},
  journal   = {Sensors},
  number    = {24, art. no. 7249},
  publisher = {MDPI},
  address   = {Basel},
  isbn      = {1424-8220},
  doi       = {10.3390/s20247249},
  pages     = {1 -- 30},
  year      = {2020},
  language  = {en}
}