TY - JOUR A1 - Muck, A. A1 - Wang, J. A1 - Jacobs, M. A1 - Chen, G. A1 - Chatrathi, M. P. A1 - Jurka, V. A1 - Vyborny, Z. A1 - Spillmann, S. D. A1 - Sridharan, G. A1 - Schöning, Michael Josef T1 - Fabrication of poly(methyl methacrylate) microfluidic chips by atmospheric molding JF - Analytical Chemistry. 76 (2004), H. 8 Y1 - 2004 SN - 0003-2700 SP - 2290 EP - 2297 ER - TY - JOUR A1 - Weber, Hans-Joachim A1 - Bhuju, S. A1 - Chandra, S. A1 - Mo, X. T1 - Fabrication of biodegradable nanofibers for tubular scaffolds in regenerative medicine / Weber, H.-J. ; Bhuju, S. ; Chandra, S. ; Mo, X. JF - Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2, Teil 2 Y1 - 2004 SP - 1016 EP - 1017 ER - TY - JOUR A1 - Takenaga, Shoko A1 - Schneider, Benno A1 - Erbay, E. A1 - Biselli, Manfred A1 - Schnitzler, Thomas A1 - Schöning, Michael Josef A1 - Wagner, Torsten T1 - Fabrication of biocompatible lab-on-chip devices for biomedical applications by means of a 3D-printing process JF - Physica status solidi (a) N2 - A new microfluidic assembly method for semiconductor-based biosensors using 3D-printing technologies was proposed for a rapid and cost-efficient design of new sensor systems. The microfluidic unit is designed and printed by a 3D-printer in just a few hours and assembled on a light-addressable potentiometric sensor (LAPS) chip using a photo resin. The cell growth curves obtained from culturing cells within microfluidics-based LAPS systems were compared with cell growth curves in cell culture flasks to examine biocompatibility of the 3D-printed chips. Furthermore, an optimal cell culturing within microfluidics-based LAPS chips was achieved by adjusting the fetal calf serum concentrations of the cell culture medium, an important factor for the cell proliferation. Y1 - 2015 U6 - http://dx.doi.org/10.1002/pssa.201532053 SN - 1862-6319 VL - 212 IS - 6 SP - 1347 EP - 1352 PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Mulhern, Colm A1 - Bialonski, Stephan A1 - Kantz, Holger T1 - Extreme events due to localization of energy JF - Physical Review E Y1 - 2015 U6 - http://dx.doi.org/10.1103/PhysRevE.91.012918 SN - 2470-0053 VL - 91 IS - 1 SP - 012918 ER - TY - JOUR A1 - Schroth, P. A1 - Schöning, Michael Josef A1 - Lüth, H. A1 - Weißbecker, B. A1 - Hummel, Hans E. A1 - Schütz, S. T1 - Extending the capabilities of an antenna/chip biosensor by employing various insect species JF - Sensors and Actuators B. 78 (2001), H. 1-3 Y1 - 2001 SN - 0925-4005 SP - 1 EP - 5 ER - TY - JOUR A1 - Schroth, P. A1 - Schöning, Michael Josef A1 - Lüth, H. A1 - Weißbecker, B. A1 - Hummel, Hans E. A1 - Schütz, S. T1 - Extending the capabilities of an antenna/chip biosensor by employing various insect species JF - Proceedings : Copenhagen, Denmark, 27 - 30 August 2000 / [ed.: R. de Reus ...] Y1 - 2000 SN - 87-89935-50-0 N1 - Eurosensors ; (14, 2000, København) ; Eurosensors ; (14 : ; 2000.08.27-30 : ; Copenhagen) ; European Conference on Solid-State Transducers ; (14 : ; 2000.08.27-30 : ; Copenhagen) SP - 27 EP - 30 PB - MIC, Mikroelektronik Centret CY - Lyngby, Denmark ER - TY - JOUR A1 - Göddeke, Dominik A1 - Strzodka, Robert A1 - Mohd-Yusof, Jamaludin A1 - McCormick, Patrick A1 - Buijssen, Sven H.M. A1 - Grajewski, Matthias A1 - Turek, Stefan T1 - Exploring weak scalability for FEM calculations on a GPU-enhanced cluster JF - Parallel Computing Y1 - 2007 U6 - http://dx.doi.org/10.1016/j.parco.2007.09.002 SN - 0167-8191 VL - 33 IS - 10-11 SP - 685 EP - 699 ER - TY - CHAP A1 - Büsgen, André A1 - Klöser, Lars A1 - Kohl, Philipp A1 - Schmidts, Oliver A1 - Kraft, Bodo A1 - Zündorf, Albert T1 - Exploratory analysis of chat-based black market profiles with natural language processing T2 - Proceedings of the 11th International Conference on Data Science, Technology and Applications N2 - Messenger apps like WhatsApp or Telegram are an integral part of daily communication. Besides the various positive effects, those services extend the operating range of criminals. Open trading groups with many thousand participants emerged on Telegram. Law enforcement agencies monitor suspicious users in such chat rooms. This research shows that text analysis, based on natural language processing, facilitates this through a meaningful domain overview and detailed investigations. We crawled a corpus from such self-proclaimed black markets and annotated five attribute types products, money, payment methods, user names, and locations. Based on each message a user sends, we extract and group these attributes to build profiles. Then, we build features to cluster the profiles. Pretrained word vectors yield better unsupervised clustering results than current state-of-the-art transformer models. The result is a semantically meaningful high-level overview of the user landscape of black market chatrooms. Additionally, the extracted structured information serves as a foundation for further data exploration, for example, the most active users or preferred payment methods. KW - Clustering KW - Natural Language Processing KW - Information Extraction KW - Profile Extraction KW - Text Mining Y1 - 2022 SN - 978-989-758-583-8 U6 - http://dx.doi.org/10.5220/0011271400003269 SN - 2184-285X SP - 83 EP - 94 ER - TY - CHAP A1 - Klöser, Lars A1 - Büsgen, André A1 - Kohl, Philipp A1 - Kraft, Bodo A1 - Zündorf, Albert ED - Conte, Donatello ED - Fred, Ana ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Explaining relation classification models with semantic extents T2 - DeLTA 2023: Deep Learning Theory and Applications N2 - In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relation classification. State-of-the-art systems are highly accurate on scientific benchmarks. A lack of explainability is currently a complicating factor in many real-world applications. Comprehensible systems are necessary to prevent biased, counterintuitive, or harmful decisions. We introduce semantic extents, a concept to analyze decision patterns for the relation classification task. Semantic extents are the most influential parts of texts concerning classification decisions. Our definition allows similar procedures to determine semantic extents for humans and models. We provide an annotation tool and a software framework to determine semantic extents for humans and models conveniently and reproducibly. Comparing both reveals that models tend to learn shortcut patterns from data. These patterns are hard to detect with current interpretability methods, such as input reductions. Our approach can help detect and eliminate spurious decision patterns during model development. Semantic extents can increase the reliability and security of natural language processing systems. Semantic extents are an essential step in enabling applications in critical areas like healthcare or finance. Moreover, our work opens new research directions for developing methods to explain deep learning models. KW - Relation classification KW - Natural language processing KW - Natural language understanding KW - Information extraction KW - Trustworthy artificial intelligence Y1 - 2023 SN - 978-3-031-39058-6 (Print) SN - 978-3-031-39059-3 (Online) U6 - http://dx.doi.org/10.1007/978-3-031-39059-3_13 N1 - 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023. SP - 189 EP - 208 PB - Springer CY - Cham ER - TY - JOUR A1 - Müller-Veggian, Mattea A1 - Didelez, J.-P. A1 - Lieder, R. M. A1 - Beuscher, H. T1 - Experimental study of excitation functions and isomer ratios for ²¹¹,²¹² Po JF - Nuclear physics / A, Nuclear and hadronic physics. 341 (1980), H. 3 Y1 - 1980 SN - 0375-9474 SP - 421 EP - 439 ER -