@inbook{62230,
  abstract     = {{Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound implications for how knowledge is produced and what and whose knowledge is valued and deemed valid. To attend to this fundamental change, the authors propose the concept of algorithmic regimes and demonstrate how they transform the epistemological, methodological, and political foundations of knowledge production, sensemaking, and decision-making in contemporary societies. Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.}},
  author       = {{Kinder-Kurlanda, Katharina and Fahimi, Miriam}},
  booktitle    = {{Algorithmic Regimes. Methods, Interactions, and Politics.}},
  editor       = {{Jarke, Juliane and Prietl, Bianca and Egbert, Simon and Boeva, Yana and Heuer, Hendrik and Arnold, Maike}},
  isbn         = {{978-94-6372-848-5}},
  pages        = {{309–330}},
  publisher    = {{Amsterdam University Press}},
  title        = {{{Making Algorithms Fair: Ethnographic Insights from Machine Learning Interventions}}},
  year         = {{2024}},
}

@article{62236,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Due to its excellent biocompatibility, pure iron is a very promising implant material, but often features corrosion rates that are too low. Using additive manufacturing and modified powders the microstructure and, thus, the material properties, e.g., the corrosion properties, can be tailored for specific applications. Within the scope of this study, pure iron powder was modified with different amounts of CeO<jats:sub>2</jats:sub> or Fe<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> nanoparticles and subsequently processed by Electron Beam Powder Bed Fusion (PBF-EB/M). The corrosion-fatigue behavior of CeO<jats:sub>2</jats:sub> and Fe<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> modified iron was investigated using rotation bending tests under the influence of simulated body fluid (m-SBF). While the modification using Fe<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> showed reduced fatigue and corrosion-fatigue strengths, it could be demonstrated that the modification with CeO<jats:sub>2</jats:sub> is characterized by improved fatigue properties. The superior fatigue properties in air are attributed to the positive impact of dispersion strengthening. Additionally, an increased degradation rate compared to pure iron could be observed, eventually promoting an earlier failure of the specimens in the corrosion fatigue tests.</jats:p>}},
  author       = {{Wackenrohr, Steffen and Torrent, Christof Johannes Jaime and Herbst, Sebastian and Nürnberger, Florian and Krooss, Philipp and Frenck, Johanna-Maria and Ebbert, Christoph and Voigt, Markus and Grundmeier, Guido and Niendorf, Thomas and Maier, Hans Jürgen}},
  issn         = {{2397-2106}},
  journal      = {{npj Materials Degradation}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion}}},
  doi          = {{10.1038/s41529-024-00470-w}},
  volume       = {{8}},
  year         = {{2024}},
}

@article{62255,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Cellular stress and ageing involve an increase in crowding and aggregation of amylogenic proteins. We here investigate if crowding is the intrinsic cause of aggregation and utilise a previously established non-protein aggregation sensor, namely pseudoisocyanine chloride (PIC). PIC shows fibrillization in cells into a highly fluorescent J-aggregated state and is sensitive to crowding. Surprisingly, cell stress conditions stabilise the monomeric rather than the aggregated state of PIC both in the cytoplasm and in stress granules. Regarding the different physiochemical changes of the cytoplasm occurring upon cell stress, involving volume reduction, phase separation and solidification, the intrinsic crowding effect is not the key factor to drive associated self-assembly processes.</jats:p>}},
  author       = {{Pollak, Roland and Koch, Leon and König, Benedikt and Ribeiro, Sara S. and Samanta, Nirnay and Huber, Klaus and Ebbinghaus, Simon}},
  issn         = {{2399-3669}},
  journal      = {{Communications Chemistry}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Cell stress and phase separation stabilize the monomeric state of pseudoisocyanine chloride employed as a self-assembly crowding sensor}}},
  doi          = {{10.1038/s42004-024-01315-y}},
  volume       = {{7}},
  year         = {{2024}},
}

@article{62252,
  author       = {{Alfano, Caterina and Fichou, Yann and Huber, Klaus and Weiss, Matthias and Spruijt, Evan and Ebbinghaus, Simon and De Luca, Giuseppe and Morando, Maria Agnese and Vetri, Valeria and Temussi, Piero Andrea and Pastore, Annalisa}},
  issn         = {{0009-2665}},
  journal      = {{Chemical Reviews}},
  number       = {{6}},
  pages        = {{3186--3219}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Molecular Crowding: The History and Development of a Scientific Paradigm}}},
  doi          = {{10.1021/acs.chemrev.3c00615}},
  volume       = {{124}},
  year         = {{2024}},
}

@article{62251,
  author       = {{Müller, Wenke and Sroka, Weronika and Schweins, Ralf and Nöcker, Bernd and Poon, Jia-Fei and Huber, Klaus}},
  issn         = {{0743-7463}},
  journal      = {{Langmuir}},
  number       = {{17}},
  pages        = {{8872--8885}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Impact of Additive Hydrophilicity on Mixed Dye-Nonionic Surfactant Micelles: Micelle Morphology and Dye Localization}}},
  doi          = {{10.1021/acs.langmuir.4c00012}},
  volume       = {{40}},
  year         = {{2024}},
}

@article{62250,
  author       = {{Saha, Sanjib and Büngeler, Anne and Hense, Dominik and Strube, Oliver I. and Huber, Klaus}},
  issn         = {{0743-7463}},
  journal      = {{Langmuir}},
  number       = {{8}},
  pages        = {{4152--4163}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{On the Mechanism of Self-Assembly of Fibrinogen in Thrombin-free Aqueous Solution}}},
  doi          = {{10.1021/acs.langmuir.3c03132}},
  volume       = {{40}},
  year         = {{2024}},
}

@article{62254,
  author       = {{Koch, Leon and Saha, Sanjib and Huber, Klaus}},
  issn         = {{1948-7185}},
  journal      = {{The Journal of Physical Chemistry Letters}},
  number       = {{39}},
  pages        = {{9987--9993}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Impact of Temperature on the Self-Assembly of Fibrinogen in Thrombin-Free Solutions}}},
  doi          = {{10.1021/acs.jpclett.4c02180}},
  volume       = {{15}},
  year         = {{2024}},
}

@article{62253,
  author       = {{Koch, Leon and Pollak, Roland and Ebbinghaus, Simon and Huber, Klaus}},
  issn         = {{0743-7463}},
  journal      = {{Langmuir}},
  number       = {{31}},
  pages        = {{16151--16159}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Early Stages of FUS Droplet Formation via Liquid–Liquid Phase Separation}}},
  doi          = {{10.1021/acs.langmuir.4c01243}},
  volume       = {{40}},
  year         = {{2024}},
}

@misc{51624,
  author       = {{Staffel, Florian}},
  booktitle    = {{Sehepunkte}},
  number       = {{2}},
  title        = {{{Christian Marx: Wegbereiter der Globalisierung. Multinationale Unternehmen der westeuropäischen Chemieindustrie in der Zeit nach dem Boom (1960er-2000er Jahre) (= Nach dem Boom), Göttingen 2023.}}},
  volume       = {{24}},
  year         = {{2024}},
}

@article{55999,
  abstract     = {{Clean hydrogen is a key aspect of carbon neutrality, necessitating robust methods for monitoring hydrogen concentration in critical infrastructures like pipelines or power plants. While semiconducting metal oxides such as In2O3 can monitor gas concentrations down to the ppm range, they often exhibit cross-sensitivity to other gases like H2O. In this study, we investigated whether cyclic optical illumination of a gas-sensitive In2O3 layer creates identifiable changes in a gas sensor´s electronic resistance that can be linked to H2 and H2O concentrations via machine learning. We exposed nanostructured In2O3 with a large surface area of 95 m2 g-1 to H2 concentrations (0-800 ppm) and relative humidity (0-70%) under cyclic activation utilizing blue light. The sensors were tested for 20 classes of gas combinations. A support vector machine achieved classification rates up to 92.0%, with reliable reproducibility (88.2 ± 2.7%) across five individual sensors using 10-fold cross-validation. Our findings suggest that cyclic optical activation can be used as a tool to classify H2 and H2O concentrations.}},
  author       = {{Baier, Dominik  and Krüger, Alexander  and Wagner, Thorsten  and Tiemann, Michael and Weinberger, Christian}},
  issn         = {{2227-9040}},
  journal      = {{Chemosensors}},
  keywords     = {{resistive gas sensor, chemiresistor, semiconductor, metal oxide, In2O3, mesoporous, hydrogen, humidtiy, machine learning, sustainable}},
  number       = {{9}},
  pages        = {{178}},
  publisher    = {{MDPI}},
  title        = {{{Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of H2 and H2O}}},
  doi          = {{10.3390/chemosensors12090178}},
  volume       = {{12}},
  year         = {{2024}},
}

@misc{59223,
  author       = {{Schwabe, Tobias and Mallick, Khaleda and Singh, Karanveer and Schneider, Thomas and Scheytt, J. Christoph}},
  publisher    = {{Zenodo}},
  title        = {{{Precise optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter presentation 2024 SPP 2111 }}},
  doi          = {{10.5281/zenodo.15114897}},
  year         = {{2024}},
}

@misc{59224,
  author       = {{Schwabe, Tobias and Singh, Karanveer and Schneider, Thomas and Scheytt, J. Christoph}},
  publisher    = {{Zenodo}},
  title        = {{{Precise optical Nyquist Pulse Synthesizer Digital- to-Analog-Converter (PONyDAC II) 2024 SPP 2111 }}},
  doi          = {{10.5281/zenodo.15114631}},
  year         = {{2024}},
}

@inproceedings{57103,
  author       = {{Surendranath Shroff, Vijayalakshmi and Bahmanian, Meysam and Kruse, Stephan and Scheytt, J. Christoph}},
  booktitle    = {{2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS) }},
  location     = {{Fort Lauderdale, Florida}},
  publisher    = {{IEEE}},
  title        = {{{Design of an Ultra-Low Phase Noise Broadband Amplifier in 130 nm SiGe BiCMOS Technology}}},
  doi          = {{10.1109/BCICTS59662.2024.10745663}},
  year         = {{2024}},
}

@inproceedings{57160,
  abstract     = {{Large audio tagging models are usually trained or pre-trained on AudioSet, a dataset that encompasses a large amount of different sound classes and acoustic environments. Knowledge distillation has emerged as a method to compress such models without compromising their effectiveness. There are many different applications for audio tagging, some of which require a specialization to a narrow domain of sounds to be classified. For these scenarios, it is beneficial to distill the large audio tagger with respect to a specific subset of sounds of interest. A method to prune a general dataset with respect to a target dataset is presented. By distilling with such a specialized pruned dataset, we obtain a compressed model with better classification accuracy in the specific target domain than with target-agnostic distillation.}},
  author       = {{Werning, Alexander and Haeb-Umbach, Reinhold}},
  booktitle    = {{32nd European Signal Processing Conference (EUSIPCO 2024)}},
  keywords     = {{data pruning, knowledge distillation, audio tagging}},
  location     = {{Lyon}},
  title        = {{{Target-Specific Dataset Pruning for Compression of Audio Tagging Models}}},
  year         = {{2024}},
}

@inbook{62702,
  abstract     = {{<jats:p>Clifford algebras are a natural extension of division algebras, including real numbers, complex numbers, quaternions, and octonions. Previous research in knowledge graph embeddings has focused exclusively on Clifford algebras of a specific type, which do not include nilpotent base vectors—elements that square to zero. In this work, we introduce a novel approach by incorporating nilpotent base vectors with a nilpotency index of two, leading to a more general form of Clifford algebras named degenerate Clifford algebras. This generalization to degenerate Clifford algebras does allow for covering dual numbers and as such include translations and rotations models under the same generalization paradigm for the first time. We develop two models to determine the parameters that define the algebra: one using a greedy search and another predicting the parameters based on neural network embeddings of the input knowledge graph. Our evaluation on seven benchmark datasets demonstrates that this incorporation of nilpotent vectors enhances the quality of embeddings. Additionally, our method outperforms state-of-the-art approaches in terms of generalization, particularly regarding the mean reciprocal rank achieved on validation data. Finally, we show that even a simple greedy search can effectively discover optimal or near-optimal parameters for the algebra.</jats:p>}},
  author       = {{Kamdem Teyou, Louis Mozart and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Frontiers in Artificial Intelligence and Applications}},
  isbn         = {{9781643685489}},
  issn         = {{0922-6389}},
  location     = {{Santiago de Compostela}},
  publisher    = {{IOS Press}},
  title        = {{{Embedding Knowledge Graphs in Degenerate Clifford Algebras}}},
  doi          = {{10.3233/faia240627}},
  year         = {{2024}},
}

@inproceedings{62703,
  abstract     = {{We introduce a novel embedding method diverging from conventional approaches by operating within function spaces of finite dimension rather than finite vector space, thus departing significantly from standard knowledge graph embedding techniques. Initially employing polynomial functions to compute embeddings, we progress to more intricate representations using neural networks with varying layer complexities. We argue that employing functions for embedding computation enhances expressiveness and allows for more degrees of freedom, enabling operations such as composition, derivatives and primitive of entities representation. Additionally, we meticulously outline the step-by-step construction of our approach and provide code for reproducibility, thereby facilitating further exploration and application in the field.}},
  author       = {{Kamdem Teyou, Louis Mozart and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management}},
  location     = {{Boise}},
  publisher    = {{ACM}},
  title        = {{{Embedding Knowledge Graphs in Function Spaces}}},
  doi          = {{10.1145/3627673.3679819}},
  year         = {{2024}},
}

@article{56267,
  author       = {{Serino, Laura and Ridder, Werner and Bhattacharjee, Abhinandan and Gil López, Jano and Brecht, Benjamin and Silberhorn, Christine}},
  issn         = {{2837-6714}},
  journal      = {{Optica Quantum}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Orchestrating time and color: a programmable source of high-dimensional entanglement}}},
  doi          = {{10.1364/opticaq.532334}},
  year         = {{2024}},
}

@techreport{62739,
  author       = {{Bornemann, Tobias and Novotny–Farkas, Zoltán}},
  title        = {{{Does the Accounting Classification of Hybrid Financial Instruments as Debt or Equity Matter?}}},
  doi          = {{10.2139/ssrn.4821642}},
  year         = {{2024}},
}

@inbook{54784,
  author       = {{Janzen, Thomas and Vogelsang, Christoph and Rumlich, Dominik}},
  booktitle    = {{Wissen, Können und Handeln von Fremdsprachenlehrpersonen}},
  editor       = {{Gerlach, David}},
  pages        = {{221--234}},
  publisher    = {{Lang}},
  title        = {{{Feedbackkompetenz handlungsnah prüfen: Die Entwicklung einer rollenspielbasierten Simulation als Prüfungsformat für angehende Englischlehrkräfte}}},
  year         = {{2024}},
}

@inproceedings{54811,
  author       = {{Pollmeier, Pascal and Vogelsang, Christoph and Rogge, Tim}},
  booktitle    = {{Frühe naturwissenschaftliche Bildung}},
  editor       = {{van Vorst, Helena}},
  location     = {{Hamburg}},
  title        = {{{Eigenvideografien als Instrument zur Professionalisierung angehender Lehrkräfte}}},
  volume       = {{44}},
  year         = {{2024}},
}