TY - JOUR A1 - Grinsven, Bart van A1 - Vanden Bon, Natalie A1 - Grieten, Lars A1 - Murib, Mohammed Sharif A1 - Janssen, Stoffel Dominique A1 - Haenen, Ken A1 - Schneider, E. A1 - Ingebrandt, Sven A1 - Schöning, Michael Josef A1 - Vermeeren, Veronique A1 - Ameloot, Marcel A1 - Michiels, Luc A1 - Thoelen, Ronald A1 - De Ceuninck, Ward A. A1 - Wagner, Patrick T1 - Rapid assessment of the stability of DNA duplexes by impedimetric real-time monitoring of chemically induced denaturation JF - Lab on a Chip Y1 - 2011 SN - 1473-0197 VL - 11 IS - 9 SP - 1656 EP - 1663 PB - Royal Society of Chemistry (RSC) CY - Cambridge ER - TY - JOUR A1 - Murib, M. S. A1 - Grinsven, B. van A1 - Grieten, L. A1 - Janssens, S. D. A1 - Vermeeren, V. A1 - Eersels, K. A1 - Broeders, J. A1 - Ameloot, Marcel A1 - Michiels, L. A1 - Ceuninck, W. De A1 - Haenen, K. A1 - Schöning, Michael Josef A1 - Wagner, Patrick T1 - Electronic monitoring of chemical DNA denaturation on nanocrystalline diamond electrodes with different molarities and flow rates JF - Physica Status Solidi (A). Vol. 210 (2013), iss. 5 Y1 - 2013 SN - 0031-8965 SP - 911 EP - 917 PB - Wiley-VCH CY - Berlin ER - TY - JOUR A1 - Murib, M. S. A1 - Yeap, W. S. A1 - Eurlings, Y. A1 - Grinsven, B. van A1 - Boyen, H.-G. A1 - Conings, B. A1 - Michiels, L. A1 - Ameloot, Marcel A1 - Carleer, R. A1 - Warmer, J. A1 - Kaul, P. A1 - Haenen, K. A1 - Schöning, Michael Josef A1 - Ceuninck, W. de A1 - Wagner, P. T1 - Heat-transfer based characterization of DNA on synthetic sapphire chips JF - Sensors and Actuators B: Chemical N2 - In this study, we show that synthetic sapphire (Al₂O₃), an established implant material, can also serve as a platform material for biosensors comparable to nanocrystalline diamond. Sapphire chips, beads, and powder were first modified with (3-aminopropyl) triethoxysilane (APTES), followed by succinic anhydride (SA), and finally single-stranded probe DNA was EDC coupled to the functionalized layer. The presence of the APTES-SA layer on sapphire powders was confirmed by thermogravimetric analyis and Fourier-transform infrared spectroscopy. Using planar sapphire chips as substrates and X-ray photoelectron spectroscopy (XPS) as surface-sensitive tool, the sequence of individual layers was analyzed with respect to their chemical state, enabling the quantification of areal densities of the involved molecular units. Fluorescence microscopy was used to demonstrate the hybridization of fluorescently tagged target DNA to the probe DNA, including denaturation- and re-hybridization experiments. Due to its high thermal conductivity, synthetic sapphire is especially suitable as a chip material for the heat-transfer method, which was employed to distinguish complementary- and non-complementary DNA duplexes containing single-nucleotide polymorphisms. These results indicate that it is possible to detect mutations electronically with a chemically resilient and electrically insulating chip material. Y1 - 2016 U6 - https://doi.org/10.1016/j.snb.2016.02.027 SN - 0925-4005 VL - 230 IS - 230 SP - 260 EP - 271 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Maurer, Florian A1 - Miskiw, Kim K. A1 - Acosta, Rebeca Ramirez A1 - Harder, Nick A1 - Sander, Volker A1 - Lehnhoff, Sebastian ED - Jorgensen, Bo Norregaard ED - Pereira da Silva, Luiz Carlos ED - Ma, Zheng T1 - Market abstraction of energy markets and policies - application in an agent-based modeling toolbox T2 - EI.A 2023: Energy Informatics N2 - In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models were often created with specific use cases in mind, which limits their flexibility and usability. This can impose challenges for using a single model to compare different market designs. This paper introduces a new method of defining market designs for energy market simulations. The proposed concept makes it easy to incorporate different market designs into electricity market models by using relevant parameters derived from analyzing existing simulation tools, morphological categorization and ontologies. These parameters are then used to derive a market abstraction and integrate it into an agent-based simulation framework, allowing for a unified analysis of diverse market designs. Furthermore, we showcase the usability of integrating new types of long-term contracts and over-the-counter trading. To validate this approach, two case studies are demonstrated: a pay-as-clear market and a pay-as-bid long-term market. These examples demonstrate the capabilities of the proposed framework. KW - Energy market design KW - Agent-based simulation KW - Market modeling Y1 - 2023 SN - 978-3-031-48651-7 (Print) SN - 978-3-031-48652-4 (eBook) U6 - https://doi.org/10.1007/978-3-031-48652-4_10 N1 - Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023 N1 - Part of the Lecture Notes in Computer Science book series (LNCS,volume 14468). SP - 139 EP - 157 PB - Springer CY - Cham ER - TY - CHAP A1 - Maurer, Florian A1 - Nitsch, Felix A1 - Kochems, Johannes A1 - Schimeczek, Christoph A1 - Sander, Volker A1 - Lehnhoff, Sebastian T1 - Know your tools - a comparison of two open agent-based energy market models T2 - 2024 20th International Conference on the European Energy Market (EEM) N2 - Due to the transition to renewable energies, electricity markets need to be made fit for purpose. To enable the comparison of different energy market designs, modeling tools covering market actors and their heterogeneous behavior are needed. Agent-based models are ideally suited for this task. Such models can be used to simulate and analyze changes to market design or market mechanisms and their impact on market dynamics. In this paper, we conduct an evaluation and comparison of two actively developed open-source energy market simulation models. The two models, namely AMIRIS and ASSUME, are both designed to simulate future energy markets using an agent-based approach. The assessment encompasses modelling features and techniques, model performance, as well as a comparison of model results, which can serve as a blueprint for future comparative studies of simulation models. The main comparison dataset includes data of Germany in 2019 and simulates the Day-Ahead market and participating actors as individual agents. Both models are comparable close to the benchmark dataset with a MAE between 5.6 and 6.4 €/MWh while also modeling the actual dispatch realistically. KW - Comparative simulation KW - Measurement KW - Analytical models KW - Renewable energy sources KW - Simulation KW - Instruments KW - Refining KW - Focusing KW - Agent-based modeling KW - Energy market KW - Open source KW - Energy dispatch Y1 - 2024 U6 - https://doi.org/10.1109/EEM60825.2024.10609021 N1 - 2024 20th International Conference on the European Energy Market (EEM), 10-12 June 2024, Istanbul, Turkiye PB - IEEE CY - New York, NY ER - TY - CHAP A1 - Maurer, Florian A1 - Sejdija, Jonathan A1 - Sander, Volker T1 - Decentralized energy data storages through an Open Energy Database Server N2 - In the research domain of energy informatics, the importance of open datais rising rapidly. This can be seen as various new public datasets are created andpublished. Unfortunately, in many cases, the data is not available under a permissivelicense corresponding to the FAIR principles, often lacking accessibility or reusability.Furthermore, the source format often differs from the desired data format or does notmeet the demands to be queried in an efficient way. To solve this on a small scale atoolbox for ETL-processes is provided to create a local energy data server with openaccess data from different valuable sources in a structured format. So while the sourcesitself do not fully comply with the FAIR principles, the provided unique toolbox allows foran efficient processing of the data as if the FAIR principles would be met. The energydata server currently includes information of power systems, weather data, networkfrequency data, European energy and gas data for demand and generation and more.However, a solution to the core problem - missing alignment to the FAIR principles - isstill needed for the National Research Data Infrastructure. KW - Open Data KW - Database KW - Time-series Y1 - 2024 U6 - https://doi.org/10.5281/zenodo.10607895 N1 - 1st NFDI4Energy Conference (NFDI4Energy) , Hanover, Germany, 20-21 February 2024 ER - TY - JOUR A1 - Kohl, Philipp A1 - Krämer, Yoka A1 - Fohry, Claudia A1 - Kraft, Bodo ED - Fred, Ana ED - Hadjali, Allel ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Scoping review of active learning strategies and their evaluation environments for entity recognition tasks JF - Deep learning theory and applications N2 - We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows: Objective: Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time). Design: We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the search quality. We included peer-reviewed English publications introducing or comparing active learning strategies for entity recognition. Results: We analyzed 62 relevant papers and identified 106 active learning strategies. We grouped them into three categories: exploitation-based (60x), exploration-based (14x), and hybrid strategies (32x). We found that all studies used the F1-score as an evaluation metric. Information about hardware (6x) and execution time (13x) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible. Conclusion: Numerous active learning strategies have been identified, along with significant open questions that still need to be addressed. Researchers and practitioners face difficulties when making data-driven decisions about which active learning strategy to adopt. Conducting comprehensive empirical comparisons using the evaluation environment proposed in this study could help establish best practices in the domain. Y1 - 2024 SN - 978-3-031-66694-0 (online ISBN) SN - 978-3-031-66693-3 (print ISBN) U6 - https://doi.org/10.1007/978-3-031-66694-0_6 SP - 84 EP - 106 PB - Springer CY - Cham ER -