@unpublished{55078,
  abstract     = {{This paper develops and discusses a residual-based a posteriori error
estimate and a space--time adaptive algorithm for solving parabolic surface
partial differential equations on closed stationary surfaces. The full
discretization uses the surface finite element method in space and the backward
Euler method in time. The proposed error indicator bounds the error quantities
globally in space from above and below, and globally in time from above and
locally from below. A space--time adaptive algorithm is proposed using the
derived error indicator. Numerical experiments illustrate and complement the
theory.}},
  author       = {{Kovács, Balázs and Lantelme, Michael Frederik Raúl}},
  booktitle    = {{arXiv:2407.02101}},
  title        = {{{A posteriori error estimates for parabolic partial differential equations on stationary surfaces}}},
  year         = {{2024}},
}

@article{64270,
  author       = {{Ganguly, Pritam and Krötz, Bernhard and Kuit, Job J.}},
  issn         = {{0019-3577}},
  journal      = {{Indagationes Mathematicae}},
  number       = {{2}},
  pages        = {{482--496}},
  publisher    = {{Elsevier BV}},
  title        = {{{A note on Lp-factorizations of representations}}},
  doi          = {{10.1016/j.indag.2024.07.002}},
  volume       = {{36}},
  year         = {{2024}},
}

@article{64550,
  author       = {{Zens, Leon and Besaga, Vira and Möller, Jens and Gerhardt, Nils Christopher and Hofmann, Martin}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Holographic measurement of gain and linewidth enhancement factor in semiconductor waveguides}}},
  doi          = {{10.1364/oe.538741}},
  year         = {{2024}},
}

@article{64585,
  author       = {{Lindemann, Markus and Gerhardt, Nils Christopher and Dainone, Pambiang Abel and Renucci, Pierre and Bouché, Alexandre and Morassi, Martina and Devaux, Xavier and George, Jean-Marie and Jaffrès, Henri and Lemaitre, Aristide and Xu, Bo and Stoffel, Mathieu and Chen, Tongxin and Lombez, Laurent and Lagarde, Delphine and Cong, Guangwei and Ma, Tianyi and Pigeat, Philippe and Vergnat, Michel and Rinnert, Hervé and Marie, Xavier and Han, Xiufeng and Mangin, Stephane and Rojas-Sánchez, Juan-Carlos and Wang, Jian-Ping and Beard, Matthew C. and Žutić, Igor and Figueiredo Prestes, Nicholas and Lu, Yuan}},
  journal      = {{Nature}},
  number       = {{8005}},
  pages        = {{783 -- 788}},
  title        = {{{Controlling the helicity of light by electrical magnetization switching}}},
  doi          = {{10.1038/s41586-024-07125-5}},
  volume       = {{627}},
  year         = {{2024}},
}

@article{64549,
  author       = {{Zens, Leon and Besaga, Vira and Möller, Jens and Gerhardt, Nils Christopher and Hofmann, Martin}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Holographic measurement of gain and linewidth enhancement factor in semiconductor waveguides}}},
  doi          = {{10.1364/oe.538741}},
  year         = {{2024}},
}

@inproceedings{59704,
  author       = {{Kagarura, Geoffrey Mark and Hilleringmann, Ulrich and Petrov, Dmitry}},
  booktitle    = {{2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)}},
  publisher    = {{IEEE}},
  title        = {{{A low cost weather monitoring, PV and prediction system in East Africa}}},
  doi          = {{10.1109/ithings-greencom-cpscom-smartdata-cybermatics60724.2023.00130}},
  year         = {{2024}},
}

@inproceedings{64296,
  author       = {{Lindemann, Markus and Gerhardt, Nils Christopher and Hofmann, Martin R. and Ledentsov, N. N. and Shchukin, V. A. and Makarov, O. Y. and Zerova, V. and D’alessandro, M. and Tibaldi, A. and Turkiewicz, J. P.}},
  booktitle    = {{2024 IEEE 29th International Semiconductor Laser Conference (ISLC)}},
  title        = {{{Study of Electrically Excited Photon-Photon Resonances in Self-Injection-Locked Coupled-Cavity VCSELs}}},
  doi          = {{10.1109/islc57752.2024.10717381}},
  year         = {{2024}},
}

@article{64295,
  author       = {{Zens, Leon and Besaga, Vira and Möller, Jens and Gerhardt, Nils Christopher and Hofmann, Martin R.}},
  journal      = {{Optics express}},
  number       = {{1}},
  pages        = {{34 -- 49}},
  title        = {{{Holographic measurement of gain and linewidth enhancement factor in semiconductor waveguides}}},
  doi          = {{10.1364/oe.538741}},
  volume       = {{33}},
  year         = {{2024}},
}

@article{59663,
  abstract     = {{Controlling the intensity of emitted light and charge current is the basis of transferring and processing information1. By contrast, robust information storage and magnetic random-access memories are implemented using the spin of the carrier and the associated magnetization in ferromagnets2. The missing link between the respective disciplines of photonics, electronics and spintronics is to modulate the circular polarization of the emitted light, rather than its intensity, by electrically controlled magnetization. Here we demonstrate that this missing link is established at room temperature and zero applied magnetic field in light-emitting diodes2,3,4,5,6,7, through the transfer of angular momentum between photons, electrons and ferromagnets. With spin–orbit torque8,9,10,11, a charge current generates also a spin current to electrically switch the magnetization. This switching determines the spin orientation of injected carriers into semiconductors, in which the transfer of angular momentum from the electron spin to photon controls the circular polarization of the emitted light2. The spin–photon conversion with the nonvolatile control of magnetization opens paths to seamlessly integrate information transfer, processing and storage. Our results provide substantial advances towards electrically controlled ultrafast modulation of circular polarization and spin injection with magnetization dynamics for the next-generation information and communication technology12, including space–light data transfer. The same operating principle in scaled-down structures or using two-dimensional materials will enable transformative opportunities for quantum information processing with spin-controlled single-photon sources, as well as for implementing spin-dependent time-resolved spectroscopies.}},
  author       = {{Dainone, Pambiang Abel and Prestes, Nicholas Figueiredo and Renucci, Pierre and Bouché, Alexandre and Morassi, Martina and Devaux, Xavier and Lindemann, Markus and George, Jean-Marie and Jaffrès, Henri and Lemaitre, Aristide and Xu, Bo and Stoffel, Mathieu and Chen, Tongxin and Lombez, Laurent and Lagarde, Delphine and Cong, Guangwei and Ma, Tianyi and Pigeat, Philippe and Vergnat, Michel and Rinnert, Hervé and Marie, Xavier and Han, Xiufeng and Mangin, Stephane and Rojas-Sánchez, Juan-Carlos and Wang, Jian-Ping and Beard, Matthew C. and Gerhardt, Nils Christopher and Žutić, Igor and Lu, Yuan}},
  issn         = {{0028-0836}},
  journal      = {{Nature}},
  keywords     = {{Lasers, LEDs and light sources, Spintronics}},
  number       = {{8005}},
  pages        = {{783--788}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Controlling the helicity of light by electrical magnetization switching}}},
  doi          = {{10.1038/s41586-024-07125-5}},
  volume       = {{627}},
  year         = {{2024}},
}

@inproceedings{64298,
  author       = {{Lindemann, Markus and Gerhardt, Nils Christopher and Hofmann, Martin R. and Ledentsov, N. and Ledentsov, N. N. and Shchukin, V. A. and Chorchos, Ł. and Makarov, O. Yu and Kropp, J. R. and Titkov, I. E. and Kalosha, V. P. and Zerova, V. and D’Alessandro, M. and Torrelli, V. and Tibaldi, A. and Debernardi, P.}},
  booktitle    = {{Vertical-Cavity Surface-Emitting Lasers XXVIII}},
  title        = {{{Analysis of laterally-coupled-cavity VCSELs for ultra-high-frequency photon-photon resonance modulation}}},
  doi          = {{10.1117/12.3001177}},
  year         = {{2024}},
}

@inproceedings{62050,
  author       = {{Reckmann, Eileen and Temmen, Katrin}},
  location     = {{Potsdam}},
  title        = {{{Gelingensbedingungen non-formalen Lernens an außerschulischen Lernorten – Eine qualitative Interviewstudie mit Workshop-Moderator*innen}}},
  year         = {{2024}},
}

@inproceedings{62052,
  author       = {{Reckmann, Eileen and Blomberg, Tobias and Temmen, Katrin}},
  location     = {{München}},
  title        = {{{„Das ist genau das richtige Setting“ ‒ Zusammen lehren und lernen im MINT-Cluster MINT4.OWL}}},
  year         = {{2024}},
}

@article{64297,
  author       = {{Lindemann, Markus (ORCiD: 0000-0002-2660-3497) and Gerhardt, Nils C. (ORCiD: 0009-0002-5538-231X) and Hofmann, Martin R. (ORCiD: 0000-0003-1265-0003) and Shchukin, V. A. and Ledentsov, N. N. and Makarov, O. Y. and Zerova, V. and D’Alessandro, M. and Tibaldi, A. and Turkiewicz, J. P.}},
  title        = {{{Study of Electrically Excited Photon-Photon Resonances in Self-Injection-Locked Coupled-Cavity VCSELs}}},
  year         = {{2024}},
}

@inproceedings{52235,
  abstract     = {{Android applications collecting data from users must protect it according to the current legal frameworks. Such data protection has become even more important since the European Union rolled out the General Data Protection Regulation (GDPR). Since app developers are not legal experts, they find it difficult to write privacy-aware source code. Moreover, they have limited tool support to reason about data protection throughout their app development process.
This paper motivates the need for a static analysis approach to diagnose and explain data protection in Android apps. The analysis will recognize personal data sources in the source code, and aims to further examine the data flow originating from these sources. App developers can then address key questions about data manipulation, derived data, and the presence of technical measures. Despite challenges, we explore to what extent one can realize this analysis through static taint analysis, a common method for identifying security vulnerabilities. This is a first step towards designing a tool-based approach that aids app developers and assessors in ensuring data protection in Android apps, based on automated static program analysis. }},
  author       = {{Khedkar, Mugdha and Bodden, Eric}},
  booktitle    = {{Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems (MOBILESoft '24). Association for Computing Machinery, New York, NY, USA, 65–68.}},
  keywords     = {{static program analysis, data protection and privacy, GDPR compliance}},
  location     = {{Lisbon, Portugal}},
  title        = {{{Toward an Android Static Analysis Approach for Data Protection}}},
  doi          = {{10.1145/3647632.3651389}},
  year         = {{2024}},
}

@inbook{61210,
  abstract     = {{Knowledge graphs (KGs) differ significantly over multiple different versions of the same data source. They also often contain blank nodes that do not have a constant identifier over all versions. Linking such blank nodes from different versions is a challenging task. Previous works propose different approaches to create signatures for all blank nodes based on named nodes in their neighborhood to match blank nodes with similar signatures. However, these works struggle to find a good mapping when the difference between the KGs’ versions grows too large. In this work, we propose Blink, an embedding-based approach for blank node linking. Blink merges two KGs’ versions and embeds the merged graph into a latent vector space based on translational embeddings and subsequently matches the closest pairs of blank nodes from different graphs. We evaluate our approach using real-world datasets against state-of-the-art approaches by computing the blank node matching for isomorphic graphs and graphs that contain triple changes (i.e., added or removed triples). The results indicate that Blink achieves perfect accuracy for isomorphic graphs. For graph versions that contain changes, such as having up to 20% of triples removed in one version, Blink still produces a mapping with an Optimal Mapping Deviation Ratio of under 1%. These results show that Blink leads to a better linking of KGs over different versions and similar graphs adhering to the linked data guidelines.}},
  author       = {{Becker, Alexander and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031778438}},
  issn         = {{0302-9743}},
  location     = {{Baltimore, USA}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Blink: Blank Node Matching Using Embeddings}}},
  doi          = {{10.1007/978-3-031-77844-5_12}},
  year         = {{2024}},
}

@inproceedings{54084,
  author       = {{Karalis, Nikolaos and Bigerl, Alexander and Heidrich, Liss and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{ESWC}},
  keywords     = {{bigerl dice enexa heidrich karalis ngonga sail sherif}},
  title        = {{{Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins}}},
  year         = {{2024}},
}

@inproceedings{61219,
  author       = {{Kumar, Ajay and Naumann, Marius and Henne, Kevin and Sherif, Mohamed}},
  booktitle    = {{Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September 17-19, 2024}},
  editor       = {{Garijo, Daniel and Gentile, Anna Lisa and Kurteva, Anelia and Mannocci, Andrea and Osborne, Francesco and Vahdati, Sahar}},
  keywords     = {{kumar sherif enexa climatebowl ingrid simba dice whale}},
  location     = {{ Amsterdam,The Netherlands}},
  publisher    = {{CEUR-WS.org}},
  title        = {{{PCFWebUI: Data-driven WebUI for holistic decarbonization based on PCF-Tracking}}},
  volume       = {{3759}},
  year         = {{2024}},
}

@inproceedings{55094,
  author       = {{Zahera, Hamada Mohamed Abdelsamee and Manzoor, Ali and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{SEMANTiCS}},
  keywords     = {{TRR318 climatebowl colide dice enexa kiam manzoor moussallem ngonga sailproject sherif simba zahera}},
  title        = {{{Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting}}},
  year         = {{2024}},
}

@inproceedings{58722,
  abstract     = {{Dialects introduce syntactic and lexical variations in language that occur in regional or social groups. Most NLP methods are not sensitive to such variations. This may lead to unfair behavior of the methods, conveying negative bias towards dialect speakers. While previous work has studied dialect-related fairness for aspects like hate speech, other aspects of biased language, such as lewdness, remain fully unexplored. To fill this gap, we investigate performance disparities between dialects in the detection of five aspects of biased language and how to mitigate them. To alleviate bias, we present a multitask learning approach that models dialect language as an auxiliary task to incorporate syntactic and lexical variations. In our experiments with African-American English dialect, we provide empirical evidence that complementing common learning approaches with dialect modeling improves their fairness. Furthermore, the results suggest that multitask learning achieves state-of-the-art performance and helps to detect properties of biased language more reliably.}},
  author       = {{Spliethöver, Maximilian and Menon, Sai Nikhil and Wachsmuth, Henning}},
  booktitle    = {{Findings of the Association for Computational Linguistics: ACL 2024}},
  editor       = {{Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek}},
  pages        = {{9294–9313}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness}}},
  doi          = {{10.18653/v1/2024.findings-acl.553}},
  year         = {{2024}},
}

@inbook{61868,
  author       = {{Jonas-Ahrend, Gabriela}},
  booktitle    = {{A Pedagogical View of the COVID-19 Pandemic}},
  isbn         = {{9789004710139}},
  publisher    = {{BRILL}},
  title        = {{{Vocational Teacher Education in a “COVID-19 Semester”}}},
  doi          = {{10.1163/9789004710146_009}},
  year         = {{2024}},
}