@inproceedings{53814,
  author       = {{Yigitbas, Enes and Schmidt, Maximilian and Bucchiarone, Antonio and Bassanelli, Simone and Engels, Gregor}},
  booktitle    = {{IEEE Global Engineering Education Conference 2024}},
  title        = {{{Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling}}},
  year         = {{2024}},
}

@inproceedings{53821,
  author       = {{Yigitbas, Enes and Kaltschmidt, Christian}},
  booktitle    = {{Proceedings of the 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR’24)}},
  publisher    = {{Springer}},
  title        = {{{Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections}}},
  year         = {{2024}},
}

@inproceedings{53818,
  author       = {{Krings, Sarah Claudia and Biermeier, Kai and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE'24)}},
  title        = {{{Interaction Techniques for Remote Maintenance in an AR Shared Environment}}},
  year         = {{2024}},
}

@inproceedings{53820,
  author       = {{Leichtweiß, Justus and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 12th International Conference on Serious Games and Applications for Health (SeGAH'24)}},
  title        = {{{An Exploratory Study of Fear-Inducing Factors in Virtual Reality Experiences}}},
  year         = {{2024}},
}

@inproceedings{53817,
  author       = {{Krois, Sebastian and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE'24)}},
  title        = {{{Prototyping Cross-Reality Escape Rooms}}},
  year         = {{2024}},
}

@inproceedings{53823,
  author       = {{Claes, Leander}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2024}},
  editor       = {{Gesellschaft für Akustik e.V., Deutsche}},
  pages        = {{620–623}},
  title        = {{{Einfluss der periodischen Struktur auf geführte Wellen in gewebeverstärkten Polymeren}}},
  year         = {{2024}},
}

@inproceedings{53819,
  author       = {{Krings, Sarah Claudia and Yigitbas, Enes and Sauer, Stefan}},
  booktitle    = {{Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE'24)}},
  title        = {{{Developing a VR Factory Walkthrough for Use in Schools}}},
  year         = {{2024}},
}

@unpublished{53858,
  author       = {{Akhter, Junaid and Fährmann, Paul David and Sonntag, Konstantin and Peitz, Sebastian}},
  booktitle    = {{arXiv}},
  title        = {{{Common pitfalls to avoid while using multiobjective optimization in machine learning}}},
  year         = {{2024}},
}

@inproceedings{53938,
  abstract     = {{Previous work has shown that one can often greatly speed up static analysis by computing data flows not for every edge in the program’s control-flow graph but instead only along definition-use chains. This yields a so-called sparse static analysis. Recent work on SparseDroid has shown that specifically taint analysis can be “sparsified” with extraordinary effectiveness because the taint state of one variable does not depend on those of others. This allows one to soundly omit more flow-function computations than in the general case. In this work, we now assess whether this result carries over to the more generic setting of so-called Interprocedural Distributive Environment (IDE) problems. Opposed to taint analysis, IDE comprises distributive problems with large or even infinitely broad domains, such as typestate analysis or linear constant propagation. Specifically, this paper presents Sparse IDE, a framework that realizes sparsification for any static analysis that fits the IDE framework. We implement Sparse IDE in SparseHeros, as an extension to the popular Heros IDE solver, and evaluate its performance on real-world Java libraries by comparing it to the baseline IDE algorithm. To this end, we design, implement and evaluate a linear constant propagation analysis client on top of SparseHeros. Our experiments show that, although IDE analyses can only be sparsified with respect to symbols and not (numeric) values, Sparse IDE can nonetheless yield significantly lower runtimes and often also memory consumptions compared to the original IDE.}},
  author       = {{Karakaya, Kadiray and Bodden, Eric}},
  booktitle    = {{Proceedings of the IEEE/ACM 46th International Conference on Software Engineering}},
  publisher    = {{ACM}},
  title        = {{{Symbol-Specific Sparsification of Interprocedural Distributive Environment Problems}}},
  doi          = {{10.1145/3597503.3639092}},
  year         = {{2024}},
}

@inproceedings{53958,
  abstract     = {{To detect security vulnerabilities, static analysis tools need to be configured with security-relevant methods. Current approaches can automatically identify such methods using binary relevance machine learning approaches. However, they ignore dependencies among security-relevant methods, over-generalize and perform poorly in practice. Additionally, users have to nevertheless manually configure static analysis tools using the detected methods. Based on feedback from users and our observations, the excessive manual steps can often be tedious, error-prone and counter-intuitive.
 In this paper, we present Dev-Assist, an IntelliJ IDEA plugin that detects security-relevant methods using a multi-label machine learning approach that considers dependencies among labels. The plugin can automatically generate configurations for static analysis tools, run the static analysis, and show the results in IntelliJ IDEA. Our experiments reveal that Dev-Assist's machine learning approach has a higher F1-Measure than related approaches. Moreover, the plugin reduces and simplifies the manual effort required when configuring and using static analysis tools.}},
  author       = {{Johnson, Oshando and Piskachev, Goran and Krishnamurthy, Ranjith and Bodden, Eric}},
  booktitle    = {{Proceedings of the 46th International Conference on Software Engineering, IDE Workshop}},
  title        = {{{Detecting Security-Relevant Methods using Multi-label Machine Learning}}},
  doi          = {{10.48550/ARXIV.2403.07501}},
  year         = {{2024}},
}

@inproceedings{53796,
  author       = {{Amer, Abdelhakim and Álvarez-Tuñón, Olaya and Uğurlu, Halil İbrahim and Le Fevre Sejersen, Jonas and Brodskiy, Yury and Kayacan, Erdal}},
  booktitle    = {{2023 21st International Conference on Advanced Robotics (ICAR)}},
  publisher    = {{IEEE}},
  title        = {{{UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework}}},
  doi          = {{10.1109/icar58858.2023.10406819}},
  year         = {{2024}},
}

@article{51207,
  abstract     = {{Let $X=X_1\times X_2$ be a product of two rank one symmetric spaces of
non-compact type and $\Gamma$ a torsion-free discrete subgroup in $G_1\times
G_2$. We show that the spectrum of $\Gamma \backslash X$ is related to the
asymptotic growth of $\Gamma$ in the two direction defined by the two factors.
We obtain that $L^2(\Gamma \backslash G)$ is tempered for large class of
$\Gamma$.}},
  author       = {{Weich, Tobias and Wolf, Lasse Lennart}},
  journal      = {{Geom Dedicata}},
  title        = {{{Temperedness of locally symmetric spaces: The product case}}},
  doi          = {{https://doi.org/10.1007/s10711-024-00904-4}},
  volume       = {{218}},
  year         = {{2024}},
}

@article{54078,
  author       = {{Häsel-Weide, Uta and Graf, Lara Marie and Höveler, K. and Nührenbörger, M.}},
  journal      = {{HLZ – Herausforderung Lehrer*innenbildung}},
  number       = {{1}},
  title        = {{{Fachbezogene Professionalisierung von fachfremd Mathematik unterrichtenden Lehrkräften: Retrospektive Selbsteinschätzungen zur Expertise im Umgang mit Schwierigkeiten beim Mathematiklernen im Anfangsunterricht der Grundschule}}},
  doi          = {{10.11576/hlz-6727}},
  volume       = {{7}},
  year         = {{2024}},
}

@article{54144,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>In this paper, we propose a novel conceptual framework tailored for modeling the meaning of mathematical concepts in university-level mathematics, addressing their rigorous nature and their relationships with related concepts as well as interpretations in various contexts. Within this framework, we present a model of meaning for the concepts of total differentiability and total derivative that provides a variety of possible interpretations and aspects. We then use the proposed model of meaning as a tool for analyzing three different textbooks for mathematics majors on the topic of multidimensional differentiability. Our paper is an example of a subject matter analysis of a topic in university mathematics carried out in a structured way. The model of meaning for total differentiability presented in this paper could inspire course design and analysis including the design of assignments and assessments for students. Moreover, it could serve as a valuable research tool for further analyses. For example, it could be used as a framework for analyzing courses taught or as a basis for developing a test instrument to assess students’ understanding. With our textbook analysis, we begin to examine the landscape of textbooks regarding differentiability concepts in the multidimensional case, shedding light on the diversity of meaning facets that are covered in the textbooks. These results could be useful for guiding instructors and learners in selecting and using textbooks for teaching and learning based on their respective needs.</jats:p>}},
  author       = {{Lankeit, Elisa and Biehler, Rolf}},
  issn         = {{1863-9690}},
  journal      = {{ZDM – Mathematics Education}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The meaning landscape of the concept of the total derivative in multivariable real analysis textbooks: an analysis based on a new model of meaning}}},
  doi          = {{10.1007/s11858-024-01584-w}},
  year         = {{2024}},
}

@book{54283,
  editor       = {{Beverungen, Daniel and Dumitrescu, Roman and Kühn, Arno and Plass, Christoph}},
  isbn         = {{9783662681152}},
  issn         = {{2523-3637}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Digitale Plattformen im industriellen Mittelstand}}},
  doi          = {{10.1007/978-3-662-68116-9}},
  year         = {{2024}},
}

@article{54017,
  author       = {{Kress, Christian and Schwabe, Tobias and Rhee, Hanjo and Scheytt, J. Christoph}},
  issn         = {{2169-3536}},
  journal      = {{IEEE Access}},
  pages        = {{1--1}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Compact, High-Speed Mach-Zehnder Modulator with On-Chip Linear Drivers in Photonic BiCMOS Technology}}},
  doi          = {{10.1109/access.2024.3396877}},
  year         = {{2024}},
}

@inproceedings{54355,
  author       = {{Urbaneck, Daniel and Wiegard, Jan and Schafmeister, Frank}},
  booktitle    = {{PCIM Europe 2024; IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management}},
  location     = {{Nuremberg}},
  title        = {{{Analysis of Inverter Operation Modes of an IGBT-Based ZCS LLC Converter for a 2 kW Automotive On-Board DC-DC}}},
  year         = {{2024}},
}

@inproceedings{54353,
  author       = {{Piepenbrock, Till and Keuck, Lukas  and Schachten, Sebastian  and Böcker, Joachim and Schafmeister, Frank}},
  booktitle    = {{PCIM Europe 2024; IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management}},
  location     = {{Nuremberg}},
  title        = {{{Study on Sample Geometries for Ferrite Characterisation in the MHz-Range}}},
  year         = {{2024}},
}

@inproceedings{54354,
  author       = {{Förster, Nikolas and Urbaneck, Daniel and Kohlhepp, Benedikt and Kübrich, Daniel and Schafmeister, Frank}},
  booktitle    = {{PCIM Europe 2024; IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management}},
  location     = {{Nuremberg}},
  title        = {{{Pitfalls and their Avoidability in the Double-Pulse Test}}},
  year         = {{2024}},
}

@inproceedings{54437,
  abstract     = {{Video conferencing systems have become an indispensable part of our world. Using video conferencing systems implies the expectation that online meetings run as smoothly as in-person meetings. Thus, online meetings need to be just as secure and private as in-person meetings, which are secured against disruptive factors and unauthorized persons by physical access control mechanisms.

To show the security dangers of conferencing systems and raise general awareness when using these technologies, we analyze the security of two widely used research and education open-source video conferencing systems: BigBlueButton and eduMEET. Because both systems are very different, we analyzed their architectures, considering the respective components with their main tasks, features, and user roles. In the following systematic security analyses, we found 50 vulnerabilities. These include broken access control, NoSQL injection, and denial of service (DoS). The vulnerabilities have root causes of different natures. While BigBlueButton has a lot of complexity due to many components, eduMEET, which is relatively young, focuses more on features than security. The sheer amount of results and the lack of prior work indicate a research gap that needs to be closed since video conferencing systems continue to play a significant role in research, education, and everyday life.}},
  author       = {{Heitmann, Nico and Siewert, Hendrik and Moog, Sven and Somorovsky, Juraj}},
  booktitle    = {{Applied Cryptography and Network Security}},
  location     = {{Abu Dhabi}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Security Analysis of BigBlueButton and eduMEET}}},
  doi          = {{10.1007/978-3-031-54776-8_8}},
  year         = {{2024}},
}