@article{20372,
  abstract     = {{A stepwise angular spectrum method (SASM) for curved interfaces is presented to calculate the wave propagation in planar lens-like integrated optical structures based on photonic slab waveguides. The method is derived and illustrated for an effective 2D setup first and then for 3D slab waveguide lenses. We employ slab waveguides of different thicknesses connected by curved surfaces to realize a lens-like structure. To simulate the wave propagation in 3D including reflection and scattering losses, the stepwise angular spectrum method is combined with full vectorial finite element computations for subproblems with lower complexity. Our SASM results show excellent agreement with rigorous numerical simulations of the full structures with a substantially lower computational effort and can be utilized for the simulation-based design and optimization of complex and large scale setups.}},
  author       = {{Ebers, Lena and Hammer, Manfred and Förstner, Jens}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  keywords     = {{tet_topic_waveguides}},
  number       = {{24}},
  pages        = {{36361}},
  title        = {{{Light diffraction in slab waveguide lenses simulated with the stepwise angular spectrum method}}},
  doi          = {{10.1364/oe.409612}},
  volume       = {{28}},
  year         = {{2020}},
}

@article{20444,
  author       = {{Oevel, Gudrun and Odenbach, Christopher}},
  journal      = {{DUZ Wissenschaft & Management}},
  number       = {{08/2020}},
  pages        = {{33--37}},
  publisher    = {{DUZ Verlags- und Medienhaus GmbH}},
  title        = {{{Einfach den blauen Knopf drücken - Die Universität Paderborn entschied sich bereits Mitte März für Big Blue Button, ein offenes Videokonferenz-System, mit dem sich auch Lehr- und Lernprozesse unterstützen lassen}}},
  year         = {{2020}},
}

@article{20501,
  author       = {{Rosenthal, Marta and Lindner, Jörg K N  and Gerstmann, Uwe and Meier, Armin and Schmidt, W Gero and Wilhelm, René}},
  journal      = {{Royal Society of Chemistry }},
  number       = {{42930-42937}},
  title        = {{{A photoredox catalysed Heck reaction via hole transfer from a Ru(II)-bis(terpyridine) complex to graphene oxide }}},
  doi          = {{10.1039/d0ra08749a}},
  volume       = {{10}},
  year         = {{2020}},
}

@inproceedings{20514,
  author       = {{Yigitbas, Enes}},
  booktitle    = {{ACM SIGWEB Newsletter}},
  publisher    = {{ACM}},
  title        = {{{Model-driven engineering and usability evaluation of self-adaptive user interfaces}}},
  doi          = {{https://doi.org/10.1145/3427478.3427480}},
  year         = {{2020}},
}

@inproceedings{20516,
  abstract     = {{Traceability, a classic requirements engineering topic, is increasingly used in the context of model-based engineering. However, researchers and practitioners lack a concise terminology to discuss aspects of requirements traceability in situations in which engineers heavily rely on models and model-based engineering. While others have previously surveyed the domain, no one has so far provided a clear, unambiguous set of terms that can be used to discuss traceability in such a context. We therefore set out to cut a path through the jungle of terminology for model-based traceability, ground it in established terminology from requirements engineering, and derive an unambiguous set of relevant terms. We also map the terminology used in existing primary and secondary studies to our taxonomy to show differences and commonalities. The contribution of this paper is thus a terminology for model-based traceability that allows requirements engineers and engineers working with models to unambiguously discuss their joint traceability efforts.}},
  author       = {{Holtmann, Jörg and Steghofer, Jan-Philipp and Rath, Michael and Schmelter, David}},
  booktitle    = {{2020 IEEE 28th International Requirements Engineering Conference (RE)}},
  isbn         = {{9781728174389}},
  publisher    = {{IEEE}},
  title        = {{{Cutting through the Jungle: Disambiguating Model-based Traceability Terminology}}},
  doi          = {{10.1109/re48521.2020.00014}},
  year         = {{2020}},
}

@inproceedings{20518,
  author       = {{Koch, Thorsten and Dziwok, Stefan and Holtmann, Jörg and Bodden, Eric}},
  booktitle    = {{ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS ’20)}},
  publisher    = {{ACM}},
  title        = {{{Scenario-based Specification of Security Protocols and Transformation to Security Model Checkers}}},
  doi          = {{10.1145/3365438.3410946}},
  year         = {{2020}},
}

@article{20644,
  abstract     = {{Plasmonic nanoantennas for visible and infrared radiation strongly improve the interaction of light with the matter on the nanoscale due to their strong near-field enhancement. In this study, we investigate a double-resonant plasmonic nanoantenna, which makes use of plasmonic field enhancement, enhanced outcoupling of second harmonic light, and resonant lattice effects. Using this design, we demonstrate how the efficiency of second harmonic generation can be increased significantly by fully embedding the nanoantennas into nonlinear dielectric material ZnO, instead of placing them on the surface. Investigating two different processes, we found that the best fabrication route is embedding the gold nanoantennas in ZnO using an MBE overgrowth process where a thin ZnO layer was deposited on nanoantennas fabricated on a ZnO substrate. In addition, second harmonic generation measurements show that the embedding leads to an enhancement compared to the emission of nanoantennas placed on the ZnO substrate surface. These promising results facilitate further research to determine the influence of the periodicity of the nanoantenna arrangement of the resulting SHG signal.}},
  author       = {{Volmert, Ruth and Weber, Nils and Meier, Cedrik}},
  issn         = {{1089-7550}},
  journal      = {{Journal of Applied Physics}},
  number       = {{4}},
  title        = {{{Nanoantennas embedded in zinc oxide for second harmonic generation enhancement}}},
  doi          = {{10.1063/5.0012813}},
  volume       = {{128}},
  year         = {{2020}},
}

@inproceedings{20843,
  author       = {{Wu, Tao and Tinkloh, Steffen Rainer and Tröster, Thomas and Zinn, Wolfgang}},
  booktitle    = {{Proceedings of the 4th International Conference Hybrid 2020 Materials and Structures}},
  location     = {{Web-Conference, Germany}},
  title        = {{{Residual stress measurement in GFRP/steel hybrid components}}},
  year         = {{2020}},
}

@inbook{20847,
  author       = {{Zentgraf, Thomas and Chen, Shumei and Li, Guixin and Zhang, Shuang}},
  booktitle    = {{Nanoantennas and Plasmonics: Modelling, design and fabrication}},
  editor       = {{Werner, Douglas H. and Campbell, Sawyer D. and Kang, Lei}},
  publisher    = {{The Institution of Engineering and Technology}},
  title        = {{{Plasmonic metasurfaces for controlling harmonic generations}}},
  doi          = {{10.1049/SBEW540E_ch8}},
  year         = {{2020}},
}

@article{20848,
  author       = {{Tischendorf, R. and Simmler, M. and Weinberger, C. and Bieber, M. and Reddemann, M. and Fröde, F. and Lindner, J. and Pitsch, H. and Kneer, R. and Tiemann, M. and Nirschl, H. and Schmid, H.-J.}},
  issn         = {{0021-8502}},
  journal      = {{Journal of Aerosol Science}},
  title        = {{{Examination of the evolution of iron oxide nanoparticles in flame spray pyrolysis by tailored in situ particle sampling techniques}}},
  doi          = {{10.1016/j.jaerosci.2020.105722}},
  year         = {{2020}},
}

@inproceedings{20854,
  author       = {{Camberg, Alan Adam and Tröster, Thomas}},
  location     = {{Seoul, South Korea}},
  title        = {{{A simplified method for the evaluation of the layer compression test using one 3D digital image correlation system and considering the material anisotropy by the equibiaxial Lankford parameter}}},
  doi          = {{10.1088/1757-899X/967/1/012077}},
  year         = {{2020}},
}

@inproceedings{20856,
  author       = {{Camberg, Alan Adam and Erhart, Tobias and Tröster, Thomas}},
  location     = {{Seoul, South Korea}},
  title        = {{{Predicting fracture at non-isothermal forming conditions: A temperature dependent extension of the LS-DYNA GISSMO fracture indicator framework}}},
  doi          = {{10.13140/RG.2.2.23924.17288}},
  year         = {{2020}},
}

@article{20892,
  author       = {{Bürger, Julius and Riedl, Thomas and Lindner, Jörg K.N.}},
  issn         = {{0304-3991}},
  journal      = {{Ultramicroscopy}},
  title        = {{{Influence of lens aberrations, specimen thickness and tilt on differential phase contrast STEM images}}},
  doi          = {{10.1016/j.ultramic.2020.113118}},
  year         = {{2020}},
}

@article{17995,
  author       = {{Riha, Christian and Buchholz, Sven S. and Chiatti, Olivio and Wieck, Andreas D. and Reuter, Dirk and Fischer, Saskia F.}},
  issn         = {{0003-6951}},
  journal      = {{Applied Physics Letters}},
  title        = {{{Excess noise in      Al x   Ga  1 − xAs/GaAs based quantum rings}}},
  doi          = {{10.1063/5.0002247}},
  year         = {{2020}},
}

@inbook{18020,
  author       = {{Graf-Schlattmann, Marcel and Meister, Dorothee M. and Oevel, Gudrun and Wilde, Melanie}},
  booktitle    = {{Zeitschrift für Hochschulentwicklung}},
  pages        = {{19 -- 39}},
  title        = {{{Kollektive Veränderungsbereitschaft als zentraler Erfolgsfaktor von Digitalisierungsprozessen an Hochschulen}}},
  year         = {{2020}},
}

@inproceedings{18021,
  author       = {{Yigitbas, Enes and Tejedor, Christopher Bernal and Engels, Gregor}},
  booktitle    = {{Proceedings of the Mensch und Computer 2020 (MuC ’20)}},
  title        = {{{Experiencing and Programming the ENIAC in VR}}},
  year         = {{2020}},
}

@inproceedings{18022,
  author       = {{Augstein, Mirjam and Buschek, Daniel and Herder, Eelco and Loepp, Benedikt and Yigitbas, Enes and Ziegler, Jürgen}},
  booktitle    = {{Proceedings of the Mensch und Computer 2020 (MuC ’20)}},
  publisher    = {{ACM}},
  title        = {{{UCAI 2020 - 1st International Workshop on User-Centered Artificial Intelligence}}},
  year         = {{2020}},
}

@inproceedings{18109,
  author       = {{Yigitbas, Enes and Jovanovikj, Ivan and Scholand, Janis and Engels, Gregor}},
  booktitle    = {{Proceedings of the 26th ACM Symposium on Virtual Reality Software and Technology (VRST)}},
  publisher    = {{ACM}},
  title        = {{{VR Training for Warehouse Management }}},
  year         = {{2020}},
}

@inproceedings{18249,
  abstract     = {{Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the conﬁguration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product con-ﬁguration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be conﬁgured out of these parts, are stored in a feature model. At runtime, this feature model can be used to conﬁgure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The beneﬁts of this approach are demonstrated by a case study of conﬁguring modular kitchens with the help of a prototypical mobile-based implementation.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}},
  booktitle    = {{Human-Centered Software Engineering. HCSE 2020}},
  editor       = {{Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}},
  keywords     = {{Product Configuration, Augmented Reality, Runtime Adaptation, Dynamic Software Product Lines}},
  location     = {{Eindhoven}},
  publisher    = {{Springer}},
  title        = {{{Model-based Product Configuration in Augmented Reality Applications}}},
  doi          = {{10.1007/978-3-030-64266-2_5}},
  volume       = {{12481}},
  year         = {{2020}},
}

@inproceedings{18276,
  abstract     = {{Algorithm selection (AS) deals with the automatic selection of an algorithm
from a fixed set of candidate algorithms most suitable for a specific instance
of an algorithmic problem class, where "suitability" often refers to an
algorithm's runtime. Due to possibly extremely long runtimes of candidate
algorithms, training data for algorithm selection models is usually generated
under time constraints in the sense that not all algorithms are run to
completion on all instances. Thus, training data usually comprises censored
information, as the true runtime of algorithms timed out remains unknown.
However, many standard AS approaches are not able to handle such information in
a proper way. On the other side, survival analysis (SA) naturally supports
censored data and offers appropriate ways to use such data for learning
distributional models of algorithm runtime, as we demonstrate in this work. We
leverage such models as a basis of a sophisticated decision-theoretic approach
to algorithm selection, which we dub Run2Survive. Moreover, taking advantage of
a framework of this kind, we advocate a risk-averse approach to algorithm
selection, in which the avoidance of a timeout is given high priority. In an
extensive experimental study with the standard benchmark ASlib, our approach is
shown to be highly competitive and in many cases even superior to
state-of-the-art AS approaches.}},
  author       = {{Tornede, Alexander and Wever, Marcel Dominik and Werner, Stefan and Mohr, Felix and Hüllermeier, Eyke}},
  booktitle    = {{ACML 2020}},
  location     = {{Bangkok, Thailand}},
  title        = {{{Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis}}},
  year         = {{2020}},
}

