@proceedings{22230,
  editor       = {{Sousa Santos, Beatriz and Domik, Gitta}},
  isbn         = {{ISBN 978-3-03868-132-8 }},
  location     = {{Vienna}},
  publisher    = {{Eurographics Association }},
  title        = {{{EUROGRAPHICS 2021: Education Papers Frontmatter}}},
  doi          = {{10.2312/EGED.20212000}},
  year         = {{2021}},
}

@inproceedings{22283,
  abstract     = {{    We show how to construct an overlay network of constant degree and diameter $O(\log n)$ in time $O(\log n)$ starting from an arbitrary weakly connected graph.
    We assume a synchronous communication network in which nodes can send messages to nodes they know the identifier of and establish new connections by sending node identifiers.
    If the initial network's graph is weakly connected and has constant degree, then our algorithm constructs the desired topology with each node sending and receiving only $O(\log n)$ messages in each round in time $O(\log n)$, w.h.p., which beats the currently best $O(\log^{3/2} n)$ time algorithm of [Götte et al., SIROCCO'19].
    Since the problem cannot be solved faster than by using pointer jumping for $O(\log n)$ rounds (which would even require each node to communicate $\Omega(n)$ bits), our algorithm is asymptotically optimal.
    We achieve this speedup by using short random walks to repeatedly establish random connections between the nodes that quickly reduce the conductance of the graph using an observation of [Kwok and Lau, APPROX'14].
    
    Additionally, we show how our algorithm can be used to efficiently solve graph problems in \emph{hybrid networks} [Augustine et al., SODA'20].
    Motivated by the idea that nodes possess two different modes of communication, we assume that communication of the \emph{initial} edges is unrestricted. In contrast, only polylogarithmically many messages can be communicated over edges that have been established throughout an algorithm's execution.
    For an (undirected) graph $G$ with arbitrary degree, we show how to compute connected components, a spanning tree, and biconnected components in time $O(\log n)$, w.h.p.
    Furthermore, we show how to compute an MIS in time $O(\log d + \log \log n)$, w.h.p., where $d$ is the initial degree of $G$.}},
  author       = {{Götte, Thorsten and Hinnenthal, Kristian and Scheideler, Christian and Werthmann, Julian}},
  booktitle    = {{Proc. of the 40th ACM Symposium on Principles of Distributed Computing (PODC '21)}},
  editor       = {{Censor-Hillel, Keren}},
  location     = {{Virtual}},
  publisher    = {{ACM}},
  title        = {{{Time-Optimal Construction of Overlays}}},
  doi          = {{10.1145/3465084.3467932}},
  year         = {{2021}},
}

@inproceedings{22217,
  author       = {{Krauter, Stefan and Khatibi, Arash}},
  booktitle    = {{Tagungsband des 36. PV-Symposium, 18.-26 Mai 2021, online, ISBN 978-3-948176-14-3, S. 301-304. }},
  isbn         = {{978-3-948176-14-3}},
  location     = {{Staffelstein / online}},
  pages        = {{301--304}},
  publisher    = {{Conexio}},
  title        = {{{Einfluss von Steilaufstellung, Nachführung und Einsatz bifazialer PV-Module auf den Speicherbedarf und die Kosten einer 100% EE-Versorgung Deutschlands}}},
  year         = {{2021}},
}

@article{30645,
  abstract     = {{As a new and innovative processing method for fabrication for fiber-reinforced thermoplastic composites (CFRTs), the feasibility of ultrasonic welding technology was proven in several studies. This method offers potential for the direct manufacturing of CFRT–metal structures via embedded pin structures. Despite the previous studies, a deeper understanding of the process of energy input and whether fibers work as energy directors and consequently can, in combination with chosen processing parameters, influence the consolidation quality of the CFRTs, is still unknown. Consequently, the aim of this work is to establish a deeper process understanding of the ultrasonic direct impregnation of fiber-reinforced thermoplastics with an emphasis on the fiber’s function as energy directors. Based on the generated insights, a better assessment of the feasibility of direct, hybrid part manufacturing is possible. The produced samples were primarily evaluated by optical and mechanical test methods. It is demonstrated that with higher welding time and amplitude, a better consolidation quality can be achieved and that independent of the process parameters chosen in this study, no significant fiber breakage occurs. This is interpreted as a sign of a gentle impregnation process. Furthermore, based on the examination of single roving and 5-layer set-ups, it is shown that the glass fibers function as energy directors and can influence the transformation of sonic energy into thermal energy. In comparison to industrially available CFRT material, the mechanical properties are weaker, but materials and processes offer potential for significant improvement. Based on these findings, proposals for a direct impregnation and joining process are made.}},
  author       = {{Popp, J. and Wolf, M. and Mattner, T. and Drummer, D.}},
  journal      = {{Journal of Composites Science}},
  pages        = {{239}},
  title        = {{{Energy direction in ultrasonic impregnation of continuous fiber-reinforced thermoplastics}}},
  doi          = {{10.3390/jcs5090239}},
  volume       = {{5}},
  year         = {{2021}},
}

@misc{17751,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{Staatslexikon. Recht, Wirtschaft, Gesellschaft, Bd. 5: Schule - Virtuelle Realität}},
  pages        = {{983--991 (Spalten)}},
  publisher    = {{Herder Verlag}},
  title        = {{{Technikphilosophie}}},
  year         = {{2021}},
}

@inproceedings{27381,
  abstract     = {{Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks. Motivated by the broad applicability of GNNs, we propose the family of so-called RankGNNs, a combination of neural Learning to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences between graphs, suggesting that one of them is preferred over the other. One practical application of this problem is drug screening, where an expert wants to find the most promising molecules in a large collection of drug candidates. We empirically demonstrate that our proposed pair-wise RankGNN approach either significantly outperforms or at least matches the ranking performance of the naive point-wise baseline approach, in which the LtR problem is solved via GNN-based graph regression.}},
  author       = {{Damke, Clemens and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings of The 24th International Conference on Discovery Science (DS 2021)}},
  editor       = {{Soares, Carlos and Torgo, Luis}},
  isbn         = {{9783030889418}},
  issn         = {{0302-9743}},
  keywords     = {{Graph-structured data, Graph neural networks, Preference learning, Learning to rank}},
  location     = {{Halifax, Canada}},
  pages        = {{166--180}},
  publisher    = {{Springer}},
  title        = {{{Ranking Structured Objects with Graph Neural Networks}}},
  doi          = {{10.1007/978-3-030-88942-5}},
  volume       = {{12986}},
  year         = {{2021}},
}

@article{30906,
  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}},
  keywords     = {{Health Informatics, Rehabilitation}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}}},
  doi          = {{10.1186/s12984-021-00822-6}},
  volume       = {{18}},
  year         = {{2021}},
}

@inbook{31718,
  author       = {{Willeke, Stephanie}},
  booktitle    = {{Schreiben, Text, Autorschaft II. Zur Narration und Störung von Lebens- und Schreibprozessen}},
  editor       = {{Gansel, Carsten  and Lehnen , Katrin  and Oswalt, Vadim }},
  pages        = {{131--158}},
  publisher    = {{V&R unipress }},
  title        = {{{Schriftstellerische Inszenierungspraktiken und autofiktionale Schreibreflexionen im Weblog Turmsegler von Benjamin Stein}}},
  year         = {{2021}},
}

@inbook{31724,
  author       = {{Willeke, Stephanie}},
  booktitle    = {{Prekäre Fakten, umstrittene Fiktionen. Fake News, Verschwörungstheorien und ihre kulturelle Aushandlung (Philologie im Netz Beiheft 25/2021) }},
  editor       = {{Wolf, Deborah and Podskalsky, Vera}},
  pages        = {{211--229}},
  title        = {{{Auf der Grenze zwischen Fakt und Fiktion. Fake News in der Polit-Serie The Good Fight}}},
  year         = {{2021}},
}

@inbook{31792,
  author       = {{Böker, Ines}},
  booktitle    = {{Drama und Theater der Gegenwart. Literarisches Lernen und ästhetische Bildung zwischen Textanalyse und Aufführungsrezeption (Beiträge zur Didaktik der deutschsprachigen Gegenwartsliteratur) }},
  editor       = {{Standke, Jan }},
  pages        = {{119--129}},
  publisher    = {{Wissenschaftlicher Verlag }},
  title        = {{{„Transkulturelle Wahrnehmungsräume in der Theaterdidaktik. Die Theaterarbeit von Nuran David Calis“}}},
  volume       = {{8}},
  year         = {{2021}},
}

@book{32030,
  author       = {{Altun, Tülay and Handt, Claudia and Hinrichs, Beatrix and Hoffacker, Anna and Niederhaus, Constanze and Weis, Ingrid}},
  publisher    = {{Klett; Deutsch Lehren und Lernen 17}},
  title        = {{{Sprachbildung in der Grundschule}}},
  year         = {{2021}},
}

@inbook{32060,
  author       = {{Peuschel, Kristina and Petersen, Inger and Reble, Raja and Haberzettl, Stefanie and Berkel-Otto, Lisa and Niederhaus, Constanze and Steinmetz, Sandra and Rojahn, Pia and Sondershaus, Eva}},
  booktitle    = {{Theorie-Praxis-Verzahnung in der Lehrkräftebildung Ergebnisse aus dem Netzwerk „Stark durch Diversität“}},
  editor       = {{Berkel-Otto, Lisa and Peuschel, Kristina and Steinmetz, Sandra}},
  pages        = {{13--36}},
  publisher    = {{Waxmann Verlag}},
  title        = {{{Der besondere Moment - Ergebnisse aus der Evaluation der Projekte „Sprachförderung PLUS“ im Netzwerk „Stark durch Diversität“}}},
  year         = {{2021}},
}

@inbook{32199,
  author       = {{Ptashnyk, Stefaniya}},
  booktitle    = {{Historisches Codeswitching mit Deutsch. Multilinguale Praktiken in der Sprachge-schichte}},
  editor       = {{Glaser, Elvira and Prinz, Michael  and Ptashnyk, Stefaniya }},
  pages        = {{403–436}},
  publisher    = {{de Gruyter}},
  title        = {{{Codeswitching und seine „Geschwister“. Zur Typologie der historischen multilingualen Schreibpraktiken (am Beispiel der Lemberger Zeitungen des 19. Jahrhunderts)}}},
  year         = {{2021}},
}

@inbook{32192,
  author       = {{Ptashnyk, Stefaniya}},
  booktitle    = {{Historisches Codeswitching mit Deutsch}},
  editor       = {{Glaser, Elvira and Prinz, Michael and Ptashnyk, Stefaniya }},
  publisher    = {{de Gruyter}},
  title        = {{{Multilinguale Praktiken in der Sprachgeschich-te}}},
  year         = {{2021}},
}

@inbook{32200,
  author       = {{Ptashnyk, Stefaniya and Glaser, Elvira and Prinz, Michael }},
  booktitle    = {{Historisches Codeswitching mit Deutsch. Multilinguale Praktiken in der Sprachgeschichte}},
  editor       = {{Glaser, Elvira and Prinz, Michael  and Ptashnyk, Stefaniya}},
  pages        = {{1–12}},
  publisher    = {{de Gruyte}},
  title        = {{{Historisches Codeswitching mit Deutsch: Eine Einleitung}}},
  year         = {{2021}},
}

@inbook{32251,
  author       = {{Ptashnyk, Stefaniya}},
  booktitle    = {{Institutionen – Praktiken – Biographien. Verankerung und Profilierung der germanis-tischen Forschung und Lehre}},
  editor       = {{Korn, Uwe Maximillian and Żarski, Krzysztof }},
  pages        = {{197–208}},
  publisher    = {{Harrassowitz }},
  title        = {{{Von der Schwierigkeit des biografischen Schreibens über Ludwik Fleck}}},
  year         = {{2021}},
}

@book{31630,
  author       = {{Tönsing, Johanna}},
  publisher    = {{Aisthesis}},
  title        = {{{"Hallo, wer spricht? Hallo, wer spricht!" Über die Poetik der Selbstoptimierung in deutschsprachiger Gegenwartsliteratur}}},
  volume       = {{27}},
  year         = {{2021}},
}

@inbook{31638,
  author       = {{Tönsing, Johanna and Bernhardt, Sebastian }},
  booktitle    = {{Zeit und Zeitnutzung als Motiv in der Kinder- und Jugendliteratur}},
  editor       = {{Bernhardt, Sebastian and Tönsing, Johanna}},
  publisher    = {{Berlin}},
  title        = {{{Einleitung}}},
  year         = {{2021}},
}

@book{31627,
  editor       = {{Bernhardt, Sebastian  and Tönsing, Johanna}},
  publisher    = {{Frank & Timme}},
  title        = {{{Zeitnutzung in der aktuellen Kinder- und Jugendliteratur. Literaturwissenschaftliche und literaturdidaktische Perspektiven}}},
  year         = {{2021}},
}

@inbook{32420,
  author       = {{Tönsing, Johanna}},
  booktitle    = {{Optimierung des Selbst. Band zur Abschlusstagung des Graduiertenkollegs Ethnographien des Selbst in der Gegenwart der Universität Mainz}},
  editor       = {{Dalski, Loreen and Keil, Lisa and Thums, Barbara}},
  title        = {{{Ungeahnte Perspektiven der Literatur auf die Subjektivierungsfigur der Selbstoptimierung am Beispiel von Bodo Kirchhoffs Body-Building und Elfriede Jelineks Ein Sportstück}}},
  year         = {{2021}},
}

