Improved EMAT Sensor Design for Enhanced Ultrasonic Signal Detection in Steel Wire Ropes
Roßteutscher, Immanuel; Blaschke, Oliver; Dötzer, Florian; Uphues, Thorsten; Drese, Klaus Stefan (2024)
Roßteutscher, Immanuel; Blaschke, Oliver; Dötzer, Florian; Uphues, Thorsten...
Sensors 2024/24 (22), 7114.
DOI: 10.3390/s24227114
Open Access Peer Reviewed
This study is focused on optimizing electromagnetic acoustic transducer (EMAT) sensors for enhanced ultrasonic guided wave signal generation in steel cables using CAD and modern manufacturing to enable contactless ultrasonic signal transmission and reception. A lab test rig with advanced measurement and data processing was set up to test the sensors’ ability to detect cable damage, like wire breaks and abrasion, while also examining the effect of potential disruptors such as rope soiling. Machine learning algorithms were applied to improve the damage detection accuracy, leading to significant advancements in magnetostrictive measurement methods and providing a new standard for future development in this area. The use of the Vision Transformer Masked Autoencoder Architecture (ViTMAE) and generative pre-training has shown that reliable damage detection is possible despite the considerable signal fluctuations caused by rope movement.
Stand der Technik: WP im Wohn- u. Nichtwohngebäude-Bestand mit besonderem Fokus auf große Leistungen
Schaub, Michael (2024)
Herbsttagung ITGA Niedersachsen, Sachsen-Anhalt und Bremen.
Mesh shaders on AMD RDNA™ graphics cards: Meshlet Compression
Kuth, Bastian; Oberberger, Max; Meyer, Quirin (2024)
Open Access
XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets
Oldenburg, Jan; Wagner, Jonas; Troschke-Meurer, Sascha; Plietz, Jessica; Kaderali, Lars; Völzke, Henry; Nauck, Matthias; Homuth, Georg; Völker, Uwe; Simm, Stefan (2024)
Oldenburg, Jan; Wagner, Jonas; Troschke-Meurer, Sascha; Plietz, Jessica; Kaderali, Lars...
Biomolecules 14 (12), 1501.
DOI: 10.3390/biom14121501
Open Access Peer Reviewed
The Explainable Modular Neural Network (XModNN) enables the identification of biomarkers, facilitating the classification of diseases and clinical parameters in transcriptomic datasets. The modules within XModNN represent specific pathways or genes of a functional hierarchy. The incorporation of biological insights into the architectural design reduced the number of parameters. This is further reinforced by the weighted multi-loss progressive training, which enables successful classification with a reduced number of replicates. The combination of this workflow with layer-wise relevance propagation ensures a robust post hoc explanation of the individual module contribution. Two use cases were employed to predict sex and neuroblastoma cell states, demonstrating that XModNN, in contrast to standard statistical approaches, results in a reduced number of candidate biomarkers. Moreover, the architecture enables the training on a limited number of examples, attaining the same performance and robustness as support vector machine and random forests. The integrated pathway relevance analysis improves a standard gene set overrepresentation analysis, which relies solely on gene assignment. Two crucial genes and three pathways were identified for sex classification, while 26 genes and six pathways are highly important to discriminate adrenergic-mesenchymal cell states in neuroblastoma cancer.
Consistent Evaluation Methods for Microfluidic Mixers
Blaschke, Oliver; Kluitmann, Jonas; Elsner, Jakob; Xie, Xie; Drese, Klaus Stefan (2024)
micromachines 15 (11), 1312.
DOI: 10.3390/mi15111312
Open Access Peer Reviewed
The study presents a unifying methodology for characterizing micromixers, integrating both experimental and simulation techniques. Focusing on Dean mixer designs, it employs an optical evaluation for experiments and a modified Sobolev norm for simulations, yielding a unified dimensionless characteristic parameter for the whole mixer at a given Reynolds number. The results demonstrate consistent mixing performance trends across both methods for various operation points. This paper also proposes enhancements in the evaluation process to improve accuracy and reduce noise impact. This approach provides a valuable framework for optimizing micromixer designs, essential in advancing microfluidic technologies.
Mit Innovationen den Wandel erfolgreich gestalten
Zagel, Christian (2024)
IHK - Perspektiven für die Automobilzulieferindustrie in der Metropolregion Nürnberg.
Leichter leben mit Endometriose: Ganzheitliche Behandlungsansätze
Meißner, Karin (2024)
Vortrag am Landratsamt Kronach.
Angehörige
Hahn, Gernot; Kröger, Christine; Große, Lisa (2024)
socialnet Lexikon.
DOI: https://www.socialnet.de/lexikon/3534
Open Access
Comparative Methods for Demystifying Spatial Transcriptomics
Sammeth, Michael; Mudra, Susann; Bialdiga, Sina; Hartmannsberger, Beate; Kramer, Sofia; Rittner, Heike (2024)
Sammeth, Michael; Mudra, Susann; Bialdiga, Sina; Hartmannsberger, Beate; Kramer, Sofia...
Comparative Genomics 2024 (2802), 515-546.
DOI: 10.1007/978-1-0716-3838-5
Peer Reviewed
Enhancing Availability of Autonomous Shuttle Services A Conceptual Approach towards Challenges and Opportunities
Dehghani, Ali; Salaar, Hamza; Srinivasan, Priya; Zhou, Lixian; Arbeiter, Georg; Lindner, Alisa; Patiño Studencki, Lucila (2024)
Dehghani, Ali; Salaar, Hamza; Srinivasan, Priya; Zhou, Lixian; Arbeiter, Georg...
SAE International Journal of Connected and Automated Vehicles 2025 (3), 8.
DOI: 10.4271/12-08-03-0023
Peer Reviewed
Kinderrechte und BNE zusammendenken: Für soziale und ökologische Gerechtigkeit in der Kindheitspädagogik (zusammen mit Katharina Gerarts)
Lohrenscheit , Claudia (2024)
In: Rost, Sebastian/ Bloch, Bianca/ Kaiser, Anna-Katharina/ Kaul, Ina (Hg.): Bildung für nachhaltige Entwicklung in der Kindheitspädagogik. Beiträge zur Disziplin, Profession und Praxis der Pädagogik der frühen Kindheit. Weinheim/Basel. Beltz Juventa. S. 49-63 2024, 49-63.
Peer Reviewed
"Your body is a battleground" - Women's movements, queer feminism and gender justice; in: Claudia Lohrenscheit, Andrea Schmelz, Caroline Schmitt, Ute Straub (ed.): International Social Work and Social Movements
Lohrenscheit , Claudia (2024)
2024.
Peer Reviewed
The global movements for children's rights - with an interview with Manfred Liebel; in: Claudia Lohrenscheit, Andrea Schmelz, Caroline Schmitt, Ute Straub (ed.): International Social Work and Social Movements
Lohrenscheit , Claudia (2024)
2024.
Peer Reviewed
Ein guter Zeitpunkt für Vereinfachungen. Die Zukunft von Heizlast, Kühllast, GEG-Nachweis und Co.
Schaub, Michael; Floß, Alexander (2024)
HLH 75 (10), 16-18.
DOI: 10.37544/1436-5103-2024-10-16
Benchmarking of Synthetic Network Data: Reviewing Challenges and Approaches
Wolf, Maximilian; Tritscher, J.; Landes, Dieter; Hotho, Andreas; Schlör, D. (2024)
Computers and Security 2024 (145), 103993.
DOI: 10.1016/j.cose.2024.103993
Peer Reviewed
Interpretable Hierarchical Neural Networks for RNAseq Phenotyping
Jovanovic, Aleksandar; Sammeth, Michael (2024)
Peer Reviewed
4you - das Hochschulmagazin: Forschungsprojekte rund um die Ernährung
Meißner, Karin (2024)
TV Oberfranken.
12-monatiges Taiji-Programm reduziert den systolischen Blutdruck bei Prähypertonie stärker als körperliches Training
Meißner, Karin (2024)
Chinesische Medizin / Chinese Medicine 39 (2).
DOI: 10.1007/s00052-024-00130-x
Open Access
Konsumverhalten und Kontrollstrategien von Crackkonsumierenden
Hößelbarth, Susann (2024)
R. Feustel, H. Schmidt-Semisch & U. Bröckling (Hrsg.). Handbuch Drogen in sozial- und kulturwissenschaftlicher Perspektive. Wiesbaden: Springer VS, 749-767.
DOI: 10.1007/978-3-658-43431-1
Ren(n), wenn du kannst. Architektur und psychosoziale Gesundheit schwerkranker Kinder und Jugendlicher sowie ihrer Eltern im Krankenhaus [Run if you can. Architecture and psychosocial health of severely ill children, adolescents and their co-admitted parents]
Vollmer, Tanja C.; Deubzer, Hannelore; Koppen, Gemma; Kéré, Francis; Niemeyer, Charlotte; Vraetz, Thomas; Iovita, Claudia; Kohler, Katharina; Bauer, Marie; Eggers, Isabel (2024)
Vollmer, Tanja C.; Deubzer, Hannelore; Koppen, Gemma; Kéré, Francis...
Online Publikation 2024/76.
Open Access Peer Reviewed