Hochschule Bonn-Rhein-Sieg
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Implementation of Measurement Methods in a PV Inverter for the Measurement of Aging and Aging-Driving Factors
No full textFeministische Technikphilosophie
No full textWie blicken Feminist:innen auf technologische Entwicklungen? An der Schnittstelle von Philosophie, STS und Gender Studies analysiert Toni Loh erstmals im deutschsprachigen Raum Ansätze, Themen und Methoden aus dem globalen Norden, die im Anschluss an Donna Haraway kritische Fragen zum Verhältnis von Mensch und Maschine stellen. Ob Cyborg-, Techno-, Xeno- oder Netzfeminismus – die Kapitel sind mit anschaulichen Beispielen, Definitionen der zentralen Begriffe und Aufgaben zur Überprüfung des Gelernten aufgelockert. Literaturhinweise, ein umfangreiches Glossar sowie Lernimpulse runden das Lehrbuch ab und machen es zum idealen Begleiter für das Selbststudium oder die Planung eigener Lehrveranstaltungen
Monolinguale Adaption von Bewertungsdatensätzen für Large Language Models: Herausforderungen und Lösungen von Übersetzungsansätzen
No full textZweite Änderungsordnung vom 17.07.2025 der Geschäftsordnung für den Senat der Hochschule Bonn-Rhein-Sieg vom 18.11.2021
No full textMultivariate evaluation method for the detection of pest infestations on plants via VOC analysis using gas chromatography mass spectrometry
No full textVolatile organic compounds (VOCs) play an important role in the defense against pest infestations on plants. The analysis of these VOCs using gas chromatography mass spectrometry (GC-MS) enables the detection of pests by analyzing the VOC composition (VOC profiles) for specific patterns and markers. The analysis of such complex datasets with high biovariability poses a particular challenge. For this reason, a multivariate evaluation method based on a self-written Python script, using principal component analysis (PCA) and linear discriminant analysis (LDA), was developed and tested for functionality using a dataset, which has been evaluated manually and has identified five specific markers (2,4-dimethyl-1-heptene, 3-carene, α-longipinene, cyclosativene, and copaene) for Anoplophora glabripennis (ALB) infestation on Acer trees. The results obtained in the present study did not only match the manually evaluated results, but lead to further insight into the dataset. Another sesquiterpene which is assumed to be α-zingiberene was identified as an ALB specific marker in addition to 2,4-dimethyl-1-heptene and 3-carene. Furthermore, the European native beetle species goat moth Cossus cossus (CC) and poplar long-horned beetle Saperda carcharias (SC) were also analyzed for their VOCs to differentiate ALB specific VOC from other pest infestations. This comparison lead to the conclusion that the compounds α-longipinene, cyclosativene, and copaene are not specific for ALB but for pest infestation in general. It was possible to identify not only specifically produced VOCs, but also differences in concentrations that arise specifically during ALB infestation. Therefore, the evaluation method for the detection of plant pests presented in this study represents a time-saving alternative to conventional non computing methods, which in addition provides more detailed results
GG-BBQ: German Gender Bias Benchmark for Question Answering
No full textWithin the context of Natural Language Processing (NLP), fairness evaluation is often associated with the assessment of bias and reduction of associated harm. In this regard, the evaluation is usually carried out by using a benchmark dataset, for a task such as Question Answering, created for the measurement of bias in the model's predictions along various dimensions, including gender identity. In our work, we evaluate gender bias in German Large Language Models (LLMs) using the Bias Benchmark for Question Answering by Parrish et al. (2022) as a reference. Specifically, the templates in the gender identity subset of this English dataset were machine translated into German. The errors in the machine translated templates were then manually reviewed and corrected with the help of a language expert. We find that manual revision of the translation is crucial when creating datasets for gender bias evaluation because of the limitations of machine translation from English to a language such as German with grammatical gender. Our final dataset is comprised of two subsets: Subset-I, which consists of group terms related to gender identity, and Subset-II, where group terms are replaced with proper names. We evaluate several LLMs used for German NLP on this newly created dataset and report the accuracy and bias scores. The results show that all models exhibit bias, both along and against existing social stereotypes.
Accepted to the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP), taking place on August 1st 2025, as part of ACL 2025 in Vienn
Full Domain Analysis in Fluid Dynamics
No full textNovel techniques in evolutionary optimization, simulation, and machine learning enable a broad analysis of domains like fluid dynamics, in which computation is expensive and flow behavior is complex. This paper introduces the concept of full domain analysis, defined as the ability to efficiently determine the full space of solutions in a problem domain and analyze the behavior of those solutions in an accessible and interactive manner. The goal of full domain analysis is to deepen our understanding of domains by generating many examples of flow, their diversification, optimization, and analysis. We define a formal model for full domain analysis, its current state of the art, and the requirements of its sub-components. Finally, an example is given to show what can be learned by using full domain analysis. Full domain analysis, rooted in optimization and machine learning, can be a valuable tool in understanding complex systems in computational physics and beyond
Comparison of single bacteria and a bacterial reference community in a test against coated surfaces of varying copper content
No full textIntroduction: Pathogens can easily transmit via surfaces and objects. In light of the ongoing pandemic of antimicrobial resistance, silently threatening millions worldwide, this is of particular concern in clinical and public environments. Thus, it is crucial to understand how antimicrobial materials influence surface-associated microbes and microbial communities. Copper, known for its antimicrobial activity, has demonstrated effectiveness against numerous clinically relevant pathogens. However, these in vitro pure cultures are in stark contrast to the in vivo microbial communities. Additionally, the application of pure copper surfaces is high in cost and maintenance.
Methods: Hence, in this study we not only tested the antibacterial effectivity of different copper concentrations against single species, but also against a reference bacterial community representing the most abundant bacterial genera in public transport. This allowed a comparison of the antibacterial efficacy of copper against a bacterial community and against single species. Coatings on glass, which were composed of full copper (100 at.% Cu) and copper-aluminum alloys with different Cu contents (79 at.%, 53 at.% and 24 at.%) were tested with two selected single species (Burkholderia lata DSM 23089T and Staphylococcus capitis DSM 111179) and those species within the bacterial community.
Results: In general, the survival of the two species within the bacterial community was higher compared to their respective survival as a single species, significantly for S. capitis. Surfaces with 100 at.% copper content showed the greatest antibacterial effect in terms of bacterial survival, with a reduced survival of up to 10−6. The 79 at.% Cu coating only had an inhibitory effect on the metabolic activity of B. lata when exposed to the surfaces as single species.
Discussion: Our results highlight the benefits of additional testing of microbial communities rather than pure cultures. These experiments allow for enhanced evaluation of antimicrobial surfaces since they also take complex and diverse interactions within a surface microbiota into account. Therefore, community testing might be the more holistic approach for the testing of antibacterial materials
Editorial
No full textDer Begriff Ko-Kreation ist im Hochschulkontext und insbesondere im Bereich der Evaluation von Studium und Lehre noch relativ neu. Dabei hat er eine lange Historie und sich in verschiedenen Disziplinen bereits etabliert. Die Ursprünge dieses Konzepts reichen in unterschiedliche Felder und gehen bis in die 60er und 70er Jahre zurück. Zu dieser Zeit wurde in Skandinavien das Konzept Collaborative Design entwickelt, um Mitarbeitende in die Einführung von Computeranwendungen am Arbeitsplatz einzubeziehen, ein Ansatz, der in den USA unter dem Begriff Participatory Design weitergeführt wurde
