@inproceedings{43052,
  abstract     = {{We demonstrate a large-scale two dimensional silicon-based optical phased array (OPA) composed of nanoantennas with circular gratings that are balanced in power and aligned in phase, required for producing desired radiation patterns in the far-field. The OPAs are numerically optimized to have an upward efficiency of up to 90%, targeting radiation concentration mainly in the field of view. We envision that our OPAs have the ability of generating complex holographic images, rendering them an attractive candidate for a wide range of applications like LiDAR sensors, optical trapping, optogenetic stimulation and augmented-reality displays.}},
  author       = {{Farheen, Henna and Strauch, Andreas and Scheytt, J. Christoph and Myroshnychenko, Viktor and Förstner, Jens}},
  booktitle    = {{Integrated Optics: Devices, Materials, and Technologies XXVII}},
  editor       = {{García-Blanco, Sonia M. and Cheben, Pavel}},
  keywords     = {{tet_topic_opticalantenna}},
  pages        = {{124241D }},
  publisher    = {{SPIE}},
  title        = {{{Optimized silicon antennas for optical phased arrays}}},
  doi          = {{10.1117/12.2658716}},
  year         = {{2023}},
}

@inproceedings{50466,
  abstract     = {{A key challenge in designing efficient optical phased arrays is the lack of a well-designed radiator. This work explores horn antennas numerically optimized to target high upward radiation efficiency to be employed in silicon-based phased arrays capable of producing elegant radiation patterns in the far-field.}},
  author       = {{Farheen, Henna and Joshi, S. and Scheytt, J. Christoph and Myroshnychenko, Viktor and Förstner, Jens}},
  booktitle    = {{2023 IEEE Photonics Conference (IPC)}},
  keywords     = {{tet_topic_opticalantenna}},
  publisher    = {{IEEE}},
  title        = {{{Increasing the upward radiation efficiency of optical phased arrays using asymmetric silicon horn antennas}}},
  doi          = {{10.1109/ipc57732.2023.10360519}},
  year         = {{2023}},
}

@article{48596,
  author       = {{Häsel-Weide, Uta and Schmidt, R. and Büker, Petra}},
  journal      = {{Zeitschrift für Schul- und Professionsentwicklung (PFLB)}},
  number       = {{1}},
  pages        = {{215--229}},
  title        = {{{„FInDig“: Fach – Inklusion – Digitalisierung vernetzen. Ein Planungs- und Reflexionsmodell für die Lehrkräftebildung}}},
  volume       = {{5}},
  year         = {{2023}},
}

@article{55277,
  author       = {{Klahn, B. and Technau, Marc}},
  journal      = {{Int. J. Number Theory}},
  number       = {{10}},
  pages        = {{2443–2450}},
  title        = {{{Galois groups of (ⁿ₀)+(ⁿ₁)X+…+(ⁿ₆)X⁶}}},
  doi          = {{10.1142/S1793042123501208}},
  volume       = {{19}},
  year         = {{2023}},
}

@article{55279,
  author       = {{Minelli, P. and Sourmelidis, A. and Technau, Marc}},
  journal      = {{Math. Ann.}},
  pages        = {{291–320}},
  title        = {{{Bias in the number of steps in the Euclidean algorithm and a conjecture of Ito on Dedekind sums}}},
  doi          = {{10.1007/s00208-022-02452-2}},
  volume       = {{387}},
  year         = {{2023}},
}

@inproceedings{55406,
  abstract     = {{Metaphorical language, such as {“}spending time together{”}, projects meaning from a source domain (here, $money$) to a target domain ($time$). Thereby, it highlights certain aspects of the target domain, such as the $effort$ behind the time investment. Highlighting aspects with metaphors (while hiding others) bridges the two domains and is the core of metaphorical meaning construction. For metaphor interpretation, linguistic theories stress that identifying the highlighted aspects is important for a better understanding of metaphors. However, metaphor research in NLP has not yet dealt with the phenomenon of highlighting. In this paper, we introduce the task of identifying the main aspect highlighted in a metaphorical sentence. Given the inherent interaction of source domains and highlighted aspects, we propose two multitask approaches - a joint learning approach and a continual learning approach - based on a finetuned contrastive learning model to jointly predict highlighted aspects and source domains. We further investigate whether (predicted) information about a source domain leads to better performance in predicting the highlighted aspects, and vice versa. Our experiments on an existing corpus suggest that, with the corresponding information, the performance to predict the other improves in terms of model accuracy in predicting highlighted aspects and source domains notably compared to the single-task baselines.}},
  author       = {{Sengupta, Meghdut and Alshomary, Milad and Scharlau, Ingrid and Wachsmuth, Henning}},
  booktitle    = {{Findings of the Association for Computational Linguistics: EMNLP 2023}},
  editor       = {{Bouamor, Houda and Pino, Juan and Bali, Kalika}},
  pages        = {{4636–4659}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms}}},
  doi          = {{10.18653/v1/2023.findings-emnlp.308}},
  year         = {{2023}},
}

@inproceedings{55449,
  author       = {{Mwammenywa, Ibrahim and Hilleringmann, Ulrich}},
  booktitle    = {{2023 IEEE AFRICON}},
  publisher    = {{IEEE}},
  title        = {{{Analysis of Electricity Power Generation and Load Profiles in Solar PV Microgrids in Rural Villages of East Africa: Case of Mpale Village in Tanzania}}},
  doi          = {{10.1109/africon55910.2023.10293635}},
  year         = {{2023}},
}

@inproceedings{55447,
  author       = {{Mwakijale, Joseph S. and Mwammenywa, Ibrahim and Hilleringmann, Ulrich}},
  booktitle    = {{2023 IEEE PES/IAS PowerAfrica}},
  publisher    = {{IEEE}},
  title        = {{{LoRa-based Swarm Grid Implementation for Rural Electrification in Africa}}},
  doi          = {{10.1109/powerafrica57932.2023.10363319}},
  year         = {{2023}},
}

@book{55450,
  abstract     = {{<jats:p>Globalisierung, Digitalisierung, Klimawandel, Migrationsbewegungen und Pandemie gestalten nicht nur unseren Alltag, sondern auch die Wissenschaft neu. Angesichts dieser gesellschaftlich tiefgreifenden Veränderungen werden Grenzen und ihre Überwindung zu immer zentraleren Herausforderungen, auch für die pädagogischen Forschungsfelder. Der Band versammelt vielfältige Beitrage zum Thema Entgrenzungen und richtet dabei den Blick auf Ent- und Begrenzung in ihrer Bedeutung für Bildung, Erziehung und Sozialisation.</jats:p>}},
  editor       = {{Heinemann, Alisha and Karakaşoğlu, Yasemin and Linnemann, Tobias and Rose, Nadine and Sturm, Tanja}},
  isbn         = {{9783847427506}},
  publisher    = {{Verlag Barbara Budrich}},
  title        = {{{Entgrenzungen. Beiträge zum 28. Kongress der Deutschen Gesellschaft für Erziehungswissenschaft}}},
  doi          = {{10.3224/84742750}},
  year         = {{2023}},
}

@inproceedings{54997,
  author       = {{Turhan, Anni-Yasmin}},
  booktitle    = {{Proceedings of the 36th International Workshop on Description Logics {(DL} 2023) co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023}},
  editor       = {{Kutz, Oliver and Lutz, Carsten and Ozaki, Ana}},
  publisher    = {{CEUR-WS.org}},
  title        = {{{Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited Talk)}}},
  volume       = {{3515}},
  year         = {{2023}},
}

@inbook{45651,
  author       = {{Newberry, Melissa and Rizvi, Meher and van der Want, Anna and Jonas-Ahrend, Gabriela and Kaldi, Stavroula and Kihara, Toshiyuki and Franco, Juan Vicente Ortiz and Ratnam, Tara}},
  booktitle    = {{Advances in Research on Teaching}},
  isbn         = {{9781804554630}},
  issn         = {{1479-3687}},
  publisher    = {{Emerald Publishing Limited}},
  title        = {{{Teacher Educators' Experiences and Expressions of Emotion During the Pandemic: International Perspectives}}},
  doi          = {{10.1108/s1479-368720230000041013}},
  year         = {{2023}},
}

@article{34803,
  author       = {{Celledoni, Elena and Glöckner, Helge and Riseth, Jørgen and Schmeding, Alexander}},
  journal      = {{BIT Numerical Mathematics}},
  publisher    = {{Springer}},
  title        = {{{Deep neural networks on diffeomorphism groups for optimal shape reparametrization}}},
  doi          = {{10.1007/s10543-023-00989-05}},
  volume       = {{63}},
  year         = {{2023}},
}

@article{34805,
  abstract     = {{Let $E$ be a finite-dimensional real vector space and $M\subseteq E$ be a
convex polytope with non-empty interior. We turn the group of all
$C^\infty$-diffeomorphisms of $M$ into a regular Lie group.}},
  author       = {{Glöckner, Helge}},
  journal      = {{Journal of Convex Analysis}},
  number       = {{1}},
  pages        = {{343--358}},
  publisher    = {{Heldermann}},
  title        = {{{Diffeomorphism groups of convex polytopes}}},
  volume       = {{30}},
  year         = {{2023}},
}

@article{34801,
  author       = {{Glöckner, Helge and Tárrega, Luis}},
  journal      = {{Journal of Lie Theory}},
  number       = {{1}},
  pages        = {{271--296}},
  publisher    = {{Heldermann}},
  title        = {{{Mapping groups associated with real-valued function spaces and direct limits of Sobolev-Lie groups }}},
  volume       = {{33}},
  year         = {{2023}},
}

@unpublished{55575,
  author       = {{Jakob, Johanna}},
  title        = {{{Der Whitneysche Fortsetzungssatz für vektorwertige Funktionen}}},
  year         = {{2023}},
}

@inproceedings{42163,
  abstract     = {{The article shows how to learn models of dynamical systems from data which are governed by an unknown variational PDE. Rather than employing reduction techniques, we learn a discrete field theory governed by a discrete Lagrangian density $L_d$ that is modelled as a neural network. Careful regularisation of the loss function for training $L_d$ is necessary to obtain a field theory that is suitable for numerical computations: we derive a regularisation term which optimises the solvability of the discrete Euler--Lagrange equations. Secondly, we develop a method to find solutions to machine learned discrete field theories which constitute travelling waves of the underlying continuous PDE.}},
  author       = {{Offen, Christian and Ober-Blöbaum, Sina}},
  booktitle    = {{Geometric Science of Information}},
  editor       = {{Nielsen, F and Barbaresco, F}},
  keywords     = {{System identification, discrete Lagrangians, travelling waves}},
  location     = {{Saint-Malo, Palais du Grand Large, France}},
  pages        = {{569--579}},
  publisher    = {{Springer, Cham.}},
  title        = {{{Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves}}},
  doi          = {{10.1007/978-3-031-38271-0_57}},
  volume       = {{14071}},
  year         = {{2023}},
}

@book{37469,
  editor       = {{Biehler, Rolf and Liebendörfer, Michael and Gueudet, Ghislaine and Rasmussen, Chris and Winsløw, Carl}},
  isbn         = {{9783031141744}},
  issn         = {{1869-4918}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Practice-Oriented Research in Tertiary Mathematics Education}}},
  doi          = {{10.1007/978-3-031-14175-1}},
  year         = {{2023}},
}

@inproceedings{37553,
  author       = {{Schrader, Elena and Bernijazov, Ruslan and Foullois, Marc and Hillebrand, Michael and Kaiser, Lydia and Dumitrescu, Roman}},
  booktitle    = {{2022 IEEE International Symposium on Systems Engineering (ISSE)}},
  publisher    = {{IEEE}},
  title        = {{{Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering}}},
  doi          = {{10.1109/isse54508.2022.10005487}},
  year         = {{2023}},
}

@inproceedings{35426,
  author       = {{Richter, Cedric and Haltermann, Jan Frederik and Jakobs, Marie-Christine and Pauck, Felix and Schott, Stefan and Wehrheim, Heike}},
  booktitle    = {{37th IEEE/ACM International Conference on Automated Software Engineering}},
  publisher    = {{ACM}},
  title        = {{{Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?}}},
  doi          = {{10.1145/3551349.3561156}},
  year         = {{2023}},
}

@inproceedings{36848,
  author       = {{Schott, Stefan and Pauck, Felix}},
  booktitle    = {{2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM)}},
  publisher    = {{IEEE}},
  title        = {{{Benchmark Fuzzing for Android Taint Analyses}}},
  doi          = {{10.1109/scam55253.2022.00007}},
  year         = {{2023}},
}

