@inproceedings{60502,
  author       = {{Zeipert, Henning and Claes, Leander and Stoeckel, Chris and Mulay, Shubham and Henning, Bernd}},
  location     = {{Nürnberg}},
  title        = {{{Evaluation of piezoelectric micromachined ultrasonic transducers (PMUT) for the broadband detection of ultrasonic elastic waves}}},
  doi          = {{10.5162/SMSI2025/D5.2}},
  year         = {{2025}},
}

@inproceedings{60506,
  author       = {{Adler, Enno and Böttcher, Stefan and Hartel, Rita}},
  booktitle    = {{2025 Data Compression Conference (DCC)}},
  publisher    = {{IEEE}},
  title        = {{{String Partition for Building Long BWTs}}},
  doi          = {{10.1109/dcc62719.2025.00044}},
  year         = {{2025}},
}

@article{60508,
  author       = {{Höper, Lukas and Schulte, Carsten}},
  issn         = {{0899-3408}},
  journal      = {{Computer Science Education}},
  pages        = {{1--33}},
  publisher    = {{Informa UK Limited}},
  title        = {{{ReVEAL model and its application to revealing viewpoints on educational approaches to learning about data and AI}}},
  doi          = {{10.1080/08993408.2025.2516957}},
  year         = {{2025}},
}

@inbook{60532,
  author       = {{Biehler, Rolf and Schulte, Carsten}},
  booktitle    = {{Proceedings of the 1st Symposium on Integrating AI and Data Science into School Education Across Disciplines (AIDEA 1 2025), Salzburg, Austria}},
  title        = {{{Lessons Learned from the ProDaBi Project: Shaping Perspectives at the Intersection of Data, AI, and Education Towards Fostering AI and Data Science Literacy in Schools Across Disciplines.}}},
  year         = {{2025}},
}

@inproceedings{60813,
  author       = {{Seiler, Moritz and Preuß, Oliver Ludger and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{76–84}},
  publisher    = {{ACM}},
  title        = {{{RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces}}},
  doi          = {{10.1145/3712256.3726478}},
  year         = {{2025}},
}

@inproceedings{60812,
  author       = {{Preuß, Oliver Ludger and Mensendiek, Carolin and Rook, Jeroen and Bossek, Jakob and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{58–66}},
  publisher    = {{ACM}},
  title        = {{{Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes}}},
  doi          = {{10.1145/3712256.3726481}},
  year         = {{2025}},
}

@inbook{60816,
  author       = {{Häsel-Weide, Uta and Hußmann, S. and Nührenbörger, M.}},
  booktitle    = {{Rechnen richtig  lernen - flexibel, für alle und von Anfang an. Fachdidaktische Hintergründe und Lernangebote für die Grundschule}},
  editor       = {{Rechtsteiner, C.}},
  pages        = {{71--80}},
  publisher    = {{Klett Kallmeyer}},
  title        = {{{ Flexibles Addieren und Subtrahieren im Zahlenraum bis 100}}},
  year         = {{2025}},
}

@inproceedings{60814,
  author       = {{Schede, Elias and Seiler, Moritz and Tierney, Kevin and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}},
  editor       = {{Filipic, Bogdan}},
  pages        = {{1190–1198}},
  publisher    = {{ACM}},
  title        = {{{Deep reinforcement learning for instance-specific algorithm configuration (GECCO Best Paper Award)}}},
  doi          = {{10.1145/3712256.3726480}},
  year         = {{2025}},
}

@inproceedings{60860,
  author       = {{Fleischer, Franz Yannik and Biehler, Rolf}},
  booktitle    = {{Proceedings of the 48th Conference of the International Group for the Psychology of Mathematics Education: Research Reports, Vol. 1 }},
  editor       = {{Cornejo, C. and Felmer, P. and Gomez, D.M. and Dartnell, P. and Araya, P. and Peri, A. and Randolph, V.}},
  pages        = {{267--274}},
  title        = {{{ANALYZING STUDENTS’INFORMAL APPROACHES TO CREATING DECISION TREES IN THE CLASSROOM}}},
  year         = {{2025}},
}

@inproceedings{60914,
  author       = {{Neumayr, Thomas and Yigitbas, Enes and Augstein, Mirjam and Herder, Eelco and Stojko, Laura and Strecker, Jannis  and Seitz, Julia}},
  booktitle    = {{Proceedings of the Mensch & Computer (2025)}},
  title        = {{{ABIS 2025 – 29th International Workshop on Personalization and Recommendation}}},
  year         = {{2025}},
}

@inproceedings{60915,
  author       = {{Krings, Sarah Claudia and Yigitbas, Enes and Sauer, Stefan}},
  booktitle    = {{Proceedings of the 29th International Workshop on Personalization and Recommendation}},
  title        = {{{Perspectives on Contexts and Adaptations for Cross-Reality}}},
  year         = {{2025}},
}

@inproceedings{60892,
  abstract     = {{At Paderborn University, an AR-based app is being developed to prepare electrical engineering students for laboratory work. This paper aims to review the development of AR since 2010, particularly in technical university laboratories, through a systematic literature review. The study investigates AR's relevance in university teaching and examines specific AR applications in laboratory settings.
Using a mixed-method approach, the research first employs a web crawler to gather 27,249 articles from the Lens database, followed by a bibliometric analysis. Further, Google Scholar is used to find 374 articles related to AR in scientific and technical laboratories, with 51 significant ones evaluated for application areas, findings, and other criteria.
The findings show that AR in education is a growing trend, with a significant increase in publications and citations in recent years. Most studies focus on marker-based mobile AR applications, assessing aspects like motivation and user experience through surveys and interviews. However, there's limited research on AR's learning effectiveness in laboratories, partly due to the scarcity of technical equipment. One study found no significant learning impact from AR.}},
  author       = {{Alptekin, Mesut and Froese, Lennart and Temmen, Katrin}},
  booktitle    = {{Recent Trends of AI Technologies and Virtual Reality: Proceedings of 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2024)}},
  keywords     = {{Augmented Reality, Mixed Reality, Literature Review, Bibliometric Analysis, Education \and Laboratories}},
  location     = {{Fukuoka, Japan}},
  pages        = {{427}},
  publisher    = {{Springer Nature}},
  title        = {{{Quantitative and Qualitative Literature Review of Augmented Reality in Teaching}}},
  volume       = {{432}},
  year         = {{2025}},
}

@inproceedings{58657,
  abstract     = {{The rapid growth of 3D printing technology has transformed a wide range of industries, enabling the on-demand production of complex objects, from aerospace components to medical devices. However, this technology also introduces significant security challenges. Previous research highlighted the security implications of G-Codes—commands used to control the printing process. These studies assumed powerful attackers and focused on manipulations of the printed models, leaving gaps in understanding the full attack potential.

In this study, we systematically analyze security threats associated with 3D printing, focusing specifically on vulnerabilities caused by G-Code commands. We introduce attacks and attacker models that assume a less powerful adversary than traditionally considered, broadening the scope of potential security threats. Our findings show that even minimal access to the 3D printer can result in significant security breaches, such as unauthorized access to subsequent print jobs or persistent misconfiguration of the printer. We identify 278 potentially malicious G-Codes across the attack categories Information Disclosure, Denial of Service, and Model Manipulation. Our evaluation demonstrates the applicability of these attacks across various 3D printers and their firmware. Our findings underscore the need for a better standardization process of G-Codes and corresponding security best practices.
}},
  author       = {{Rossel, Jost and Mladenov, Vladislav and Wördenweber, Nico and Somorovsky, Juraj}},
  booktitle    = {{Proceedings of the 34th USENIX Security Symposium}},
  location     = {{Seattle, WA, USA}},
  pages        = {{1867 -- 1885}},
  title        = {{{Security Implications of Malicious G-Codes in 3D Printing}}},
  year         = {{2025}},
}

@article{61042,
  abstract     = {{We introduce the concept of a k-token signed graph and study some of its combinatorial and algebraic properties. We prove that two switching isomorphic signed graphs have switching isomorphic token graphs. Moreover, we show that the Laplacian spectrum of a balanced signed graph is contained in the Laplacian spectra of its k-token signed graph. Besides, we introduce and study the unbalance level of a signed graph, which is a new parameter that measures how far a signed graph is from being balanced. Moreover, we study the relation between the frustration index and the unbalance level of signed graphs and their token signed graphs.}},
  author       = {{Dalfó, C. and Fiol, M. A. and Steffen, Eckhard}},
  issn         = {{0925-9899}},
  journal      = {{Journal of Algebraic Combinatorics}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{On token signed graphs}}},
  doi          = {{10.1007/s10801-025-01416-4}},
  volume       = {{62}},
  year         = {{2025}},
}

@inproceedings{61047,
  author       = {{Rautenberg, Frederik and Seebauer, Fritz and Wiechmann, Jana and Kuhlmann, Michael and Wagner, Petra and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2025}},
  location     = {{Rotterdam}},
  publisher    = {{ISCA}},
  title        = {{{Synthesizing Speech with Selected Perceptual Voice Qualities – A Case Study with Creaky Voice}}},
  doi          = {{10.21437/Interspeech.2025-1443}},
  year         = {{2025}},
}

@inproceedings{61090,
  author       = {{Adler, Enno and Böttcher, Stefan and Hartel, Rita and Steininger, Cedric Alexander}},
  booktitle    = {{23rd International Symposium on Experimental Algorithms}},
  pages        = {{2:1----2:18}},
  publisher    = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}},
  title        = {{{IBB: Fast Burrows-Wheeler Transform Construction for Length-Diverse DNA Data}}},
  volume       = {{228}},
  year         = {{2025}},
}

@article{61108,
  abstract     = {{<jats:p>Greybox fuzzing is used extensively in research and practice. There are umpteen publications that improve greybox fuzzing. However, to what extent do these improvements affect the internal components or internals of a given fuzzer is not yet understood as the improvements are mostly evaluated using code coverage and bug finding capability. Such an evaluation is insufficient to understand the effect of improvements on the fuzzer internals. Some of the literature visualizes the outcomes of fuzzing to enhance the understanding. However, they only focus on high-level information and no previous research on visualization has been dedicated to understanding fuzzing internals.</jats:p>
          <jats:p>To close this gap, we propose the first step towards development of a fuzzing-specific visualization framework: a taxonomy of visualization analysis tasks that fuzzing experts desire to help them understand the fuzzing internals. Our approach involves conducting interviews with fuzzing experts and using qualitative data analysis to systematically extract the task taxonomy from the interview data. We also evaluate the support of existing fuzzing visualization tools through the lens of our taxonomy. In our study, we have conducted 33 interviews with fuzzing practitioners and extracted a taxonomy of 120 visualization analysis tasks. Our evaluation shows that the existing fuzzing visualization tools only provide aids to support 10 of them.</jats:p>}},
  author       = {{Kummita, Sriteja and Miao, Miao and Bodden, Eric and Wei, Shiyi}},
  issn         = {{1049-331X}},
  journal      = {{ACM Transactions on Software Engineering and Methodology}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Visualization Task Taxonomy to Understand the Fuzzing Internals}}},
  doi          = {{10.1145/3718346}},
  year         = {{2025}},
}

@article{61125,
  author       = {{Biehler, Rolf and Liebendörfer, Michael and Schmitz, Angela and Reich, Birte}},
  journal      = {{Mitteilungen der Deutschen Mathematiker-Vereinigung}},
  number       = {{3}},
  pages        = {{170–171}},
  publisher    = {{De Gruyter}},
  title        = {{{studiVEMINT Mathematik-Online-Vorkurs jetzt mit 300 integrierten Lernvideos frei verfügbar}}},
  volume       = {{33}},
  year         = {{2025}},
}

@article{61140,
  author       = {{Nicolai, Marcel and Bulling, Jannis and Narayanan, M.M. and Zeipert, Henning and Prager, Jens and Henning, Bernd}},
  issn         = {{0041-624X}},
  journal      = {{Ultrasonics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Dynamic interface behavior in coupled plates: Investigating Lamb wave mode repulsion with a spring-based model}}},
  doi          = {{10.1016/j.ultras.2025.107799}},
  volume       = {{158}},
  year         = {{2025}},
}

@inproceedings{61144,
  author       = {{Kablo, Emiram and Kleber, Melina and Arias Cabarcos, Patricia}},
  booktitle    = {{34th USENIX Security Symposium (USENIX Security 25)}},
  pages        = {{1531–1548}},
  title        = {{{PrivaCI in VR: Exploring Perceptions and Acceptability of Data Sharing in Virtual Reality Through Contextual Integrity}}},
  year         = {{2025}},
}