@phdthesis{Achtsnicht2020, author = {Achtsnicht, Stefan}, title = {Multiplex-Magnetdetektion von superparamagnetischen Beads zur Identifizierung von Trinkwasserkontaminationen}, doi = {10.18154/RWTH-2020-12052}, pages = {144 Seiten}, year = {2020}, abstract = {Die qualitative und quantitative Detektion von Zielsubstanzen innerhalb einer w{\"a}ssrigen Probe ist f{\"u}r viele Fragestellungen von Interesse, etwa bei der Detektion von Kontaminationen in Trinkwasser in Krisensituationen. Hierbei ist es nicht nur wichtig, dass Pathogene m{\"o}glichst sensitiv detektiert werden k{\"o}nnen, sondern auch, dass die Analyse schnell erfolgt, um Betroffenen im Katastrophenfall z{\"u}gig sicheres Trinkwasser zu Verf{\"u}gung stellen zu k{\"o}nnen. Da bei einem solchen Szenario nicht von einer in der N{\"a}he befindlichen funktionierenden Laborinfrastruktur ausgegangen werden kann, ist es wichtig, dass die Messung direkt vor Ort erfolgen kann. Im Rahmen dieser Arbeit wurde untersucht, ob eine derartige Schnellanalytik mithilfe von superparamagnetischen Beads (MBs) und der magnetischen Frequenzmischtechnik m{\"o}glich ist. Dabei werden die MBs mit Hilfe von prim{\"a}ren Antik{\"o}rpern an die Zielsubstanz gebunden und mit sekund{\"a}ren Antik{\"o}rpern an die Poren-Oberfl{\"a}che eines Polyethylen-Filters fixiert (Sandwich-Immunoassay). So kann die Quantifizierung der Zielsubstanz auf eine magnetische Messung der immobilisierten MB-Marker zur{\"u}ckgef{\"u}hrt werden. Die magnetische Frequenzmischtechnik basiert auf der Anregung der Probe mit Magnetfeldern zweier verschiedener Frequenzen. Die durch die nichtlineare Magnetisierungsform der superparamagnetischen MBs entstehenden Mischfrequenzen werden typischerweise mithilfe einer zweistufigen Lock-in-Detektion analysiert (analoge Demodulation), die in einem Magnetreader als Handheldger{\"a}t realisiert wurde. Zus{\"a}tzlich zu dieser Technik wurde das Prinzip der direkten Digitalisierung des gesamten Antwortsignals mit anschließender Fourier-Analyse der erzeugten Mischfrequenzen experimentell umgesetzt, um die Amplituden und Phasen mehrerer Mischfrequenzen simultan zu erfassen. Eine M{\"o}glichkeit zur Sensitivit{\"a}tssteigerung ist die magnetische Aufkonzentration, indem vor der magnetischen Analyse eine Separation der MBs aus einem gr{\"o}ßeren Probenvolumen mittels magnetischem Feldgradienten durchgef{\"u}hrt wird. Zur Charakterisierung verschiedener kommerzieller MBs hinsichtlich ihrer magnetischen Separierbarkeit wurde ein Aufbau zur Messung ihrer magnetophoretischen Beweglichkeiten realisiert und ihre Geschwindigkeiten im Gradientenfeld mikroskopisch gemessen.Da eine Probe oftmals nicht nur auf eine einzige Zielsubstanz, sondern simultan auf mehrere verschiedene Pathogene hin untersucht werden soll, wurden verschiedene Ans{\"a}tze entwickelt und getestet, die einen solchen multiparametrischen magnetischen Immunoassay erm{\"o}glichen. Einerseits wurde eine r{\"a}umliche Separation der Bindungsbereiche f{\"u}r verschiedene Zielsubstanzen realisiert, die sequentiell ausgewertet werden k{\"o}nnen. Andererseits wurde die Unterscheidung von verschiedenen Zielsubstanzen anhand der Charakteristika der an sie gebundenen, verschieden funktionalisierten MB-Typen untersucht. F{\"u}r eine solche Unterscheidung wurde zum einen die Anregefrequenz der magnetischen Frequenzmischtechnik w{\"a}hrend einer Messung variiert. Damit konnte gezeigt werden, dass sich verschiedene MB-Sorten anhand der Phase ihrer Frequenzmischsignale voneinander unterscheiden lassen. Weiterhin wurde gezeigt, dass sich der Signalverlauf einer bin{\"a}ren Mischung zweier verschiedener MB-Typen als gradueller {\"U}bergang der Verl{\"a}ufe der beiden reinen MB-L{\"o}sungen ergibt. Eine weitere Analysemethode f{\"u}r einen multiparametrischen Immunoassay besteht darin, ein zus{\"a}tzliches einstellbares statisches magnetisches Offsetfeld zu verwenden. Hierf{\"u}r wurden mehrere Aufbauten auf Basis von Permanent- und Elektromagneten simuliert, konstruiert und charakterisiert. Mithilfe von Simulationen konnte gezeigt werden, dass eine auf diesem Verfahren beruhende Unterscheidung f{\"u}r MBs mit unterschiedlichen magnetischen Partikelmomenten m{\"o}glich ist. Als direkte Anwendung des hier entwickelten Magnetreaders in Zusammenspiel mit der digitalen Demodulation wurde ein magnetischer Assay gegen die B-Untereinheit des Choleratoxins in Trinkwasser mit einem niedrigen Detektionslimit von 0,2 ng/ml demonstriert.}, language = {de} } @inproceedings{PaulsenHoffstadtKrafftetal.2020, author = {Paulsen, Svea and Hoffstadt, Kevin and Krafft, Simone and Leite, A. and Zang, J. and Fonseca-Zang, W. and Kuperjans, Isabel}, title = {Continuous biogas production from sugarcane as sole substrate}, series = {Energy Reports}, volume = {6}, booktitle = {Energy Reports}, number = {Supplement 1}, publisher = {Elsevier}, doi = {10.1016/j.egyr.2019.08.035}, pages = {153 -- 158}, year = {2020}, abstract = {A German-Brazilian research project investigates sugarcane as an energy plant in anaerobic digestion for biogas production. The aim of the project is a continuous, efficient, and stable biogas process with sugarcane as the substrate. Tests are carried out in a fermenter with a volume of 10 l. In order to optimize the space-time load to achieve a stable process, a continuous process in laboratory scale has been devised. The daily feed in quantity and the harvest time of the substrate sugarcane has been varied. Analyses of the digester content were conducted twice per week to monitor the process: The ratio of inorganic carbon content to volatile organic acid content (VFA/TAC), the concentration of short-chain fatty acids, the organic dry matter, the pH value, and the total nitrogen, phosphate, and ammonium concentrations were monitored. In addition, the gas quality (the percentages of CO₂, CH₄, and H₂) and the quantity of the produced gas were analyzed. The investigations have exhibited feasible and economical production of biogas in a continuous process with energy cane as substrate. With a daily feeding rate of 1.68gᵥₛ/l*d the average specific gas formation rate was 0.5 m3/kgᵥₛ. The long-term study demonstrates a surprisingly fast metabolism of short-chain fatty acids. This indicates a stable and less susceptible process compared to other substrates.}, language = {en} } @article{OezsoyluKizildagSchoeningetal.2020, author = {{\"O}zsoylu, Dua and Kizildag, Sefa and Sch{\"o}ning, Michael Josef and Wagner, Torsten}, title = {Differential chemical imaging of extracellular acidification within microfluidic channels using a plasma-functionalized light-addressable potentiometric sensor (LAPS)}, series = {Physics in Medicine}, volume = {10}, journal = {Physics in Medicine}, number = {100030}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-4510}, doi = {10.1016/j.phmed.2020.100030}, pages = {8}, year = {2020}, abstract = {Extracellular acidification is a basic indicator for alterations in two vital metabolic pathways: glycolysis and cellular respiration. Measuring these alterations by monitoring extracellular acidification using cell-based biosensors such as LAPS plays an important role in studying these pathways whose disorders are associated with numerous diseases including cancer. However, the surface of the biosensors must be specially tailored to ensure high cell compatibility so that cells can represent more in vivo-like behavior, which is critical to gain more realistic in vitro results from the analyses, e.g., drug discovery experiments. In this work, O2 plasma patterning on the LAPS surface is studied to enhance surface features of the sensor chip, e.g., wettability and biofunctionality. The surface treated with O2 plasma for 30 s exhibits enhanced cytocompatibility for adherent CHO-K1 cells, which promotes cell spreading and proliferation. The plasma-modified LAPS chip is then integrated into a microfluidic system, which provides two identical channels to facilitate differential measurements of the extracellular acidification of CHO-K1 cells. To the best of our knowledge, it is the first time that extracellular acidification within microfluidic channels is quantitatively visualized as differential (bio-)chemical images.}, language = {en} } @inproceedings{SildatkeKarwanniKraftetal.2020, author = {Sildatke, Michael and Karwanni, Hendrik and Kraft, Bodo and Schmidts, Oliver and Z{\"u}ndorf, Albert}, title = {Automated Software Quality Monitoring in Research Collaboration Projects}, series = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, booktitle = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, publisher = {IEEE}, address = {New York, NY}, doi = {10.1145/3387940.3391478}, pages = {603 -- 610}, year = {2020}, abstract = {In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem. Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ. Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible. In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production. Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data.}, language = {en} } @misc{EcclestonDrummondMiddletonetal.2020, author = {Eccleston, Paul and Drummond, Rachel and Middleton, Kevin and Bishop, Georgia and Caldwell, Andrew and Desjonqueres, Lucile and Tosh, Ian and Cann, Nick and Crook, Martin and Hills, Matthew and Pearson, Chris and Simpson, Caroline and Stamper, Richard and Tinetti, Giovanna and Pascale, Enzo and Swain, Mark and Holmes, Warren A. and Wong, Andre and Puig, Ludovic and Pilbratt, G{\"o}ran and Linder, Martin and Boudin, Nathalie and Ertel, Hanno and Gambicorti, Lisa and Halain, Jean-Philippe and Pace, Emanuele and Vilardell, Francesc and G{\´o}mez, Jos{\´e} M. and Colom{\´e}, Josep and Amiaux, J{\´e}r{\^o}me and Cara, Christophe and Berthe, Michel and Moreau, Vincent and Morgante, Gianluca and Malaguti, Giuseppe and Alonso, Gustavo and {\´A}lvarez, Javier P. and Ollivier, Marc and Philippon, Anne and Hellin, Marie-Laure and Roose, Steve and Frericks, Martin and Krijger, Matthijs and Rataj, Miroslaw and Wawer, Piotr and Skup, Konrad and Sobiecki, Mateusz and Christian Jessen, Niels and M{\o}ller Pedersen, S{\o}ren and Hargrave, Peter and Griffin, Matt and Ottensamer, Roland and Hunt, Thomas and Rust, Duncan and Saleh, Aymen and Winter, Berend and Focardi, Mauro and Da Deppo, Vania and Zuppella, Paola and Czupalla, Markus}, title = {The ARIEL payload: A technical overview}, series = {Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave}, volume = {11443}, journal = {Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave}, editor = {Lystrup, Makenzie and Perrin, Marshall D. and Batalha, Natalie and Siegler, Nicholas and Tong, Edward C.}, publisher = {SPIE}, address = {Washington}, doi = {10.1117/12.2561478}, pages = {114430Z}, year = {2020}, abstract = {The Atmospheric Remote-Sensing Infrared Exoplanet Large-survey, ARIEL, has been selected to be the next (M4) medium class space mission in the ESA Cosmic Vision programme. From launch in 2028, and during the following 4 years of operation, ARIEL will perform precise spectroscopy of the atmospheres of ~1000 known transiting exoplanets using its metre-class telescope. A three-band photometer and three spectrometers cover the 0.5 µm to 7.8 µm region of the electromagnetic spectrum. This paper gives an overview of the mission payload, including the telescope assembly, the FGS (Fine Guidance System) - which provides both pointing information to the spacecraft and scientific photometry and low-resolution spectrometer data, the ARIEL InfraRed Spectrometer (AIRS), and other payload infrastructure such as the warm electronics, structures and cryogenic cooling systems.}, language = {en} } @article{Gaigall2020, author = {Gaigall, Daniel}, title = {Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data}, series = {Metrika}, volume = {2020}, journal = {Metrika}, number = {83}, publisher = {Springer}, issn = {1435-926X}, doi = {10.1007/s00184-019-00742-5}, pages = {437 -- 465}, year = {2020}, abstract = {We discuss the testing problem of homogeneity of the marginal distributions of a continuous bivariate distribution based on a paired sample with possibly missing components (missing completely at random). Applying the well-known two-sample Cr{\´a}mer-von-Mises distance to the remaining data, we determine the limiting null distribution of our test statistic in this situation. It is seen that a new resampling approach is appropriate for the approximation of the unknown null distribution. We prove that the resulting test asymptotically reaches the significance level and is consistent. Properties of the test under local alternatives are pointed out as well. Simulations investigate the quality of the approximation and the power of the new approach in the finite sample case. As an illustration we apply the test to real data sets.}, language = {en} } @article{DrummEmhardtKoketal.2020, author = {Drumm, Christian and Emhardt, Selina N. and Kok, Ellen M. and Jarodzka, Halzka and Brand-Gruwel, Saskia and van Gog, Tamara}, title = {How Experts Adapt Their Gaze Behavior When Modeling a Task to Novices}, series = {Cognitive science}, volume = {44}, journal = {Cognitive science}, number = {9}, publisher = {Wiley}, address = {Weinheim}, issn = {1551-6709}, doi = {10.1111/cogs.12893}, pages = {26}, year = {2020}, abstract = {Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts' (natural or didactic) problem-solving behavior as well as their eye movements to learners. While research on expert-novice communication mainly focused on experts' changes in explicit, verbal communication behavior, it is as yet unclear whether and how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts' natural problem-solving behavior by contrasting it with that of novices. Then, we explored the changes in experts' behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts' automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically.}, language = {en} } @incollection{Laack2020, author = {Laack, Walter van}, title = {Twee Kanten van {\´e}{\´e}n Medaille}, series = {Het Geheim van Elysion : 45 Jaar Studies naar Nabij-de-Dood-Ervaringen over Bewustzijn in Liefde zonder Waarheen}, booktitle = {Het Geheim van Elysion : 45 Jaar Studies naar Nabij-de-Dood-Ervaringen over Bewustzijn in Liefde zonder Waarheen}, publisher = {Van Warven}, address = {Kampen}, isbn = {978-94-93175-44-0}, pages = {97 -- 105}, year = {2020}, language = {nl} } @article{Golland2020, author = {Golland, Alexander}, title = {Die „private" Datenverarbeitung im Internet. Verantwortlichkeiten und Rechtm{\"a}ßigkeit bei Nutzung von Plattformdiensten durch nat{\"u}rliche Personen}, series = {ZD Zeitschrift f{\"u}r Datenschutz}, volume = {10}, journal = {ZD Zeitschrift f{\"u}r Datenschutz}, number = {8}, editor = {Hoeren, Thomas and Schneider, Jochen and Selmayr, Martin and Spies, Axel and Wybitul, Tim}, publisher = {Beck}, address = {M{\"u}nchen}, isbn = {2192-5593}, pages = {397 -- 403}, year = {2020}, language = {de} } @inproceedings{EltesterFerreinSchiffer2020, author = {Eltester, Niklas Sebastian and Ferrein, Alexander and Schiffer, Stefan}, title = {A smart factory setup based on the RoboCup logistics league}, series = {2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)}, booktitle = {2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)}, publisher = {IEEE}, address = {New York, NY}, doi = {10.1109/ICPS48405.2020.9274766}, pages = {297 -- 302}, year = {2020}, abstract = {In this paper we present SMART-FACTORY, a setup for a research and teaching facility in industrial robotics that is based on the RoboCup Logistics League. It is driven by the need for developing and applying solutions for digital production. Digitization receives constantly increasing attention in many areas, especially in industry. The common theme is to make things smart by using intelligent computer technology. Especially in the last decade there have been many attempts to improve existing processes in factories, for example, in production logistics, also with deploying cyber-physical systems. An initiative that explores challenges and opportunities for robots in such a setting is the RoboCup Logistics League. Since its foundation in 2012 it is an international effort for research and education in an intra-warehouse logistics scenario. During seven years of competition a lot of knowledge and experience regarding autonomous robots was gained. This knowledge and experience shall provide the basis for further research in challenges of future production. The focus of our SMART-FACTORY is to create a stimulating environment for research on logistics robotics, for teaching activities in computer science and electrical engineering programmes as well as for industrial users to study and explore the feasibility of future technologies. Building on a very successful history in the RoboCup Logistics League we aim to provide stakeholders with a dedicated facility oriented at their individual needs.}, language = {en} }