@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{60987, author = {{Bergmann, Claudia Dorit}}, booktitle = {{tà katoptrizómena – Magazin für Kunst | Kultur | Theologie | Ästhetik 151}}, number = {{151}}, title = {{{Rezension zu: „Manuscripts and Performances in Religions, Arts, and Sciences”}}}, year = {{2024}}, } @misc{58569, author = {{Bergmann, Claudia Dorit}}, booktitle = {{tà katoptrizómena – Magazin für Kunst | Kultur | Theologie | Ästhetik 151}}, number = {{151}}, publisher = {{De Gruyter}}, title = {{{Rezension zu: „The Song of Songs through the Ages. Essays on the Song’s Reception History in Different Times, Contexts, and Genres”}}}, year = {{2024}}, } @misc{58567, author = {{Bergmann, Claudia Dorit}}, booktitle = {{tà katoptrizómena – Magazin für Kunst | Kultur | Theologie | Ästhetik 151}}, publisher = {{De Gruyter}}, title = {{{Rezension zu: „Manuscripts and Performances in Religions, Arts, and Sciences” }}}, volume = {{36}}, year = {{2024}}, } @misc{58568, author = {{Bergmann, Claudia Dorit}}, booktitle = {{, tà katopt- rizómena – Magazin für Kunst | Kultur | Theologie | Ästhetik 151}}, number = {{151}}, publisher = {{De Gruyter}}, title = {{{Rezension zu: „Manuscripts and Performances in Religions, Arts, and Sciences.”}}}, 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}}, } @inproceedings{59611, abstract = {{Professionalisierung für eine unterstützende Lernbegleitung beim mathematischen Lernen ist ein zentrales Ziel der Lehrkräfte-Ausbildung. Im Rahmen der präsentierten Studie werden die berichteten Förderhandlungen von Studierenden während der Förderung von Kindern mit Schwierigkeiten fokussiert. Erste Erkenntnisse aus einer leitfadengestützten Interviewstudie werden vorgestellt und ein Ausblick für das weitere Vorgehen des Promotionsprojekts gegeben.}}, author = {{Wienhues, Inga}}, publisher = {{LibreCat University}}, title = {{{"Und das war auch so ein Knackpunkt" - Professionalisierung für die Förderung von arithmetischen Basiskompetenzen}}}, doi = {{10.17877/DE290R-24878}}, 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}}, } @article{56020, abstract = {{Hass im Netz ist nicht nur ein Problem, sondern ermöglicht es einer bürgerlichen Position, hegemoniale Ansprüche zu bekräftigen und zu legitimieren. Der Text geht somit dem nach, was im Gegensatz zum abzulehnenden Diskurs als ‚gut‘ gezeichnet wird. In diesem Gegensatz steht die bürgerliche Welt des Etablierten/Status quo als Ort, in dem der ‚gute‘ Diskurs bereits erfüllt ist. Sie dient sich somit als Standard und Vorbild für die sozialen Medien an und kann dabei gesellschaftliche Kräfte mobilisieren, indem sie sich als bedroht und schützenswert darstellt.}}, author = {{Althoff, Sebastian}}, journal = {{merzWissenschaft}}, number = {{6}}, pages = {{113--125}}, title = {{{Hass im Netz und die Konstruktion des 'guten' Diskurses: Eine machtkritische Analyse}}}, doi = {{https://doi.org/10.21240/merz/2024.6.10}}, volume = {{68}}, 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 = {{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.}}, 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}}, } @inproceedings{57278, author = {{Morim da Silva, Ana Alexandra and Srivastava, Nikit and Moteu Ngoli, Tatiana and Röder, Michael and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)}}, publisher = {{Association for Computational Linguistics}}, title = {{{Benchmarking Low-Resource Machine Translation Systems}}}, doi = {{10.18653/v1/2024.loresmt-1.18}}, year = {{2024}}, }