@inproceedings{21258,
  author       = {{Franke, Mario and Klingler, Florian}},
  booktitle    = {{40th IEEE International Conference on Computer Communications (INFOCOM 2021), Poster Session}},
  publisher    = {{IEEE}},
  title        = {{{HiL meets Commodity Hardware -- SimbaR for coupling IEEE 802.11 Radio Channels}}},
  year         = {{2021}},
}

@inproceedings{21259,
  author       = {{Klingler, Florian and Schettler, Max and Dimce, Sigrid and Amjad, Muhammad Sohaib and Dressler, Falko}},
  booktitle    = {{40th IEEE International Conference on Computer Communications (INFOCOM 2021), Poster Session}},
  publisher    = {{IEEE}},
  title        = {{{mmWave on the Road -- Field Testing IEEE 802.11ad WLAN at 60 GHz}}},
  year         = {{2021}},
}

@inproceedings{21263,
  author       = {{zur Heiden, Philipp and Winter, Daniel}},
  booktitle    = {{Proceedings of the 16th International Conference on Wirtschaftsinformatik}},
  title        = {{{Discovering Geographical Patterns of Retailers' Locations for Successful Retail in City Centers}}},
  year         = {{2021}},
}

@article{21264,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development.</jats:p>
              </jats:sec>}},
  author       = {{Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}},
  issn         = {{1743-0003}},
  journal      = {{Journal of NeuroEngineering and Rehabilitation}},
  title        = {{{Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}}},
  doi          = {{10.1186/s12984-021-00822-6}},
  year         = {{2021}},
}

@inproceedings{21280,
  author       = {{Masendorf, Lukas and Wächter, Michael and Esderts, Alfons and Otroshi, Mortaza and Meschut, Gerson}},
  title        = {{{Simulationsbasierte Lebensdauerabschätzung einer stanzgenieteten Fügeverbindung unter zyklischer Belastung}}},
  year         = {{2021}},
}

@article{21284,
  author       = {{Mirbabaie, Milad and Stieglitz, S. and Frick, N.}},
  journal      = {{Electronic Markets}},
  title        = {{{Hybrid Intelligence in Hospitals: Towards a Research Agenda for Collaboration and Team-Building}}},
  year         = {{2021}},
}

@article{21285,
  author       = {{Mirbabaie, Milad and Brünker, F. and Wischnewski, M. and Meinert, J.}},
  journal      = {{ACM Transactions on Social Computing}},
  title        = {{{The Development of Connective Action during Social Movements on Social Media}}},
  year         = {{2021}},
}

@article{21295,
  author       = {{Mirbabaie, Milad and Stieglitz, Stefan and Amojo, Ireti}},
  journal      = {{Journal of Database Management}},
  title        = {{{Affording Technology in Crisis Situations: The Occurrence of Rumor Sense-Making Processes}}},
  year         = {{2021}},
}

@article{21296,
  author       = {{Mirbabaie, Milad and Stieglitz, S. and Brünker, F. and Hofeditz, L. and Ross, B. and Frick, N.R.J.}},
  journal      = {{Business & Information Systems Engineering }},
  title        = {{{Understanding Collaboration with Virtual Assistants – The Role of Social Identity and Extended Self}}},
  year         = {{2021}},
}

@article{21297,
  author       = {{Mirbabaie, Milad and Ehnis, C. and Stieglitz, S. and Bunker, D. and Rose, T.}},
  journal      = {{Information Systems Frontiers}},
  title        = {{{Digital Nudging in Social Media Disaster Communication}}},
  year         = {{2021}},
}

@article{21298,
  author       = {{Mirbabaie, Milad and Stieglitz, S. and Brünker, F.}},
  journal      = {{Information Technology & People}},
  title        = {{{Dynamics of Convergence Behaviour in Social Media Crisis Communication – A Complexity Perspective on Peoples’ Behaviour}}},
  year         = {{2021}},
}

@article{21300,
  author       = {{Brendel, A.B. and Mirbabaie, Milad and Lembcke, T.B. and Hofeditz, L.}},
  journal      = {{Sustainability}},
  title        = {{{Ethical Management of Artificial Intelligence}}},
  year         = {{2021}},
}

@article{21301,
  author       = {{Mirbabaie, Milad and Stieglitz, S. and Frick, N.R.J. and Möllmann, H.L.}},
  journal      = {{Journal of Medical Internet Research Medical Informatics }},
  title        = {{{Driving Digital Transformation During a Pandemic: Study of Virtual Collaboration in a German Hospital}}},
  year         = {{2021}},
}

@inproceedings{21313,
  author       = {{Bittner, E. and Mirbabaie, Milad and Morana, S.}},
  booktitle    = {{54th Hawaii International Conference System Sciences}},
  title        = {{{Digital Facilitation Assistance for Collaborative, Creative Design Processes}}},
  year         = {{2021}},
}

@inproceedings{21314,
  author       = {{Bührke, J. and Brendel, A.B. and Lichtenberg, S. and Greve, M. and Mirbabaie, Milad}},
  booktitle    = {{54th Hawaii International Conference System Sciences}},
  title        = {{{Is Making Mistakes Human? On the Perception of Typing Errors in Chatbot Communication}}},
  year         = {{2021}},
}

@inproceedings{21326,
  author       = {{Holtmann, Jörg and Steghöfer, Jan-Phillipp and Rath, Michael and Schmelter, David}},
  booktitle    = {{Software Engineering 2021}},
  editor       = {{Koziolek, Anne and Schaefer, Ina and Seidl, Christoph}},
  location     = {{Remote / Braunschweig, Germany }},
  pages        = {{59--60}},
  title        = {{{Cutting through the Jungle: Disambiguating Model-based Traceability Terminology (Extended Abstract)}}},
  doi          = {{10.18420/SE2021_18}},
  volume       = {{P-310}},
  year         = {{2021}},
}

@article{21337,
  abstract     = {{We present a flexible trust region descend algorithm for unconstrained and
convexly constrained multiobjective optimization problems. It is targeted at
heterogeneous and expensive problems, i.e., problems that have at least one
objective function that is computationally expensive. The method is
derivative-free in the sense that neither need derivative information be
available for the expensive objectives nor are gradients approximated using
repeated function evaluations as is the case in finite-difference methods.
Instead, a multiobjective trust region approach is used that works similarly to
its well-known scalar pendants. Local surrogate models constructed from
evaluation data of the true objective functions are employed to compute
possible descent directions. In contrast to existing multiobjective trust
region algorithms, these surrogates are not polynomial but carefully
constructed radial basis function networks. This has the important advantage
that the number of data points scales linearly with the parameter space
dimension. The local models qualify as fully linear and the corresponding
general scalar framework is adapted for problems with multiple objectives.
Convergence to Pareto critical points is proven and numerical examples
illustrate our findings.}},
  author       = {{Berkemeier, Manuel Bastian and Peitz, Sebastian}},
  issn         = {{2297-8747}},
  journal      = {{Mathematical and Computational Applications}},
  number       = {{2}},
  title        = {{{Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models}}},
  doi          = {{10.3390/mca26020031}},
  volume       = {{26}},
  year         = {{2021}},
}

@inproceedings{21340,
  author       = {{Wende, Marc and Kenig, Eugeny}},
  booktitle    = {{Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik und Wärme- und Stoffübertragung}},
  location     = {{Online-Konferenz}},
  title        = {{{Konzeption und Inbetriebnahme eines Versuchsstandes zur Gravidestillation}}},
  year         = {{2021}},
}

@article{21374,
  abstract     = {{<jats:p>A dark-field scanning transmission ion microscopy detector was designed for the helium ion microscope. The detection principle is based on a secondary electron conversion holder with an exchangeable aperture strip allowing its acceptance angle to be tuned from 3 to 98 mrad. The contrast mechanism and performance were investigated using freestanding nanometer-thin carbon membranes. The results demonstrate that the detector can be optimized either for most efficient signal collection or for maximum image contrast. The designed setup allows for the imaging of thin low-density materials that otherwise provide little signal or contrast and for a clear end-point detection in the fabrication of nanopores. In addition, the detector is able to determine the thickness of membranes with sub-nanometer precision by quantitatively evaluating the image signal and comparing the results with Monte Carlo simulations. The thickness determined by the dark-field transmission detector is compared to X-ray photoelectron spectroscopy and energy-filtered transmission electron microscopy measurements.</jats:p>}},
  author       = {{Emmrich, Daniel and Wolff, Annalena and Meyerbröker, Nikolaus and Lindner, Jörg and Beyer, André and Gölzhäuser, Armin}},
  issn         = {{2190-4286}},
  journal      = {{Beilstein Journal of Nanotechnology}},
  pages        = {{222--231}},
  title        = {{{Scanning transmission helium ion microscopy on carbon nanomembranes}}},
  doi          = {{10.3762/bjnano.12.18}},
  year         = {{2021}},
}

@inproceedings{21376,
  author       = {{Grabo, Matti and Kenig, Eugeny}},
  location     = {{Leipzig}},
  title        = {{{Modellierung eines Latentwärmespeichersystems in Form einer ungeordneten Schüttung makro-verkapselter PCM-Elemente}}},
  year         = {{2021}},
}

