@article{22450, abstract = {{We realize and investigate a nonlinear metasurface taking advantage of intersubband transitions in ultranarrow GaN/AlN multi-quantum well heterostructures. Owing to huge band offsets, the structures offer resonant transitions in the telecom window around 1.55 µm. These heterostructures are functionalized with an array of plasmonic antennas featuring cross-polarized resonances at these near-infrared wavelengths and their second harmonic. This kind of nonlinear metasurface allows for substantial second-harmonic generation at normal incidence which is completely absent for an antenna array without the multi-quantum well structure underneath. While the second harmonic is originally radiated only into the plane of the quantum wells, a proper geometrical arrangement of the plasmonic elements permits the redirection of the second-harmonic light to free-space radiation, which is emitted perpendicular to the surface.}}, author = {{Mundry, Jan and Spreyer, Florian and Jmerik, Valentin and Ivanov, Sergey and Zentgraf, Thomas and Betz, Markus}}, issn = {{2159-3930}}, journal = {{Optical Materials Express}}, number = {{7}}, publisher = {{OSA}}, title = {{{Nonlinear metasurface combining telecom-range intersubband transitions in GaN/AlN quantum wells with resonant plasmonic antenna arrays}}}, doi = {{10.1364/ome.426236}}, volume = {{11}}, year = {{2021}}, } @inproceedings{22460, author = {{Bothe, Mike and Lutters, Nicole and Kenig, Eugeny}}, location = {{online-Konferenz (Leipzig)}}, publisher = {{Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik und Wärme- und Stoffübertragung}}, title = {{{Dynamische Simulation von Gefahrensituationen bei industriellen Kreislaufprozessen am Beispiel der chemischen Absorption}}}, year = {{2021}}, } @inproceedings{22480, abstract = {{In this publication important aspects for the implementation of inductive locating are explained. The miniaturized sensor platform called Sens-o-Spheres is used as an application of this locating method. The sensor platform is applied in bioreactors in order to obtain the environmental parameters, which makes a localization by magnetic fields necessary. Since the properties of magnetic fields in the localization area are very different from the wave characteristics, the principle of inductive localization is investigated in this publication and explained by using electrical equivalent circuit diagrams. Thereby, inductive localization uses the coupling or the mutual inductivities between coils, which is noticeable by an induced voltage. Therefore some properties and procedures are explained to extract the location of Sens-o-Spheres or other industrial sensor platforms from the couplings of the coils. One method calculates the location from an adapted ratio calculation and the other method uses neural networks and stochastic filters to obtain the results. In the end, these results are evaluated and compared.}}, author = {{Lange, Sven and Schröder, Dominik and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}}, booktitle = {{22nd IEEE International Conference on Industrial Technology (ICIT)}}, isbn = {{9781728157306}}, keywords = {{Location awareness, Coils, Couplings, Nonuniform electric fields, Magnetic separation, Neural networks, Training data}}, location = {{Valencia, Spain }}, publisher = {{IEEE}}, title = {{{Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses}}}, doi = {{10.1109/icit46573.2021.9453609}}, year = {{2021}}, } @inproceedings{22481, abstract = {{During the industrial processing of materials for the manufacture of new products, surface defects can quickly occur. In order to achieve high quality without a long time delay, it makes sense to inspect the work pieces so that defective work pieces can be sorted out right at the beginning of the process. At the same time, the evaluation unit should come close the perception of the human eye regarding detection of defects in surfaces. Such defects often manifest themselves by a deviation of the existing structure. The only restriction should be that only matt surfaces should be considered here. Therefore in this work, different classification and image processing algorithms are applied to surface data to identify possible surface damages. For this purpose, the Gabor filter and the FST (Fused Structure and Texture) features generated with it, as well as the salience metric are used on the image processing side. On the classification side, however, deep neural networks, Convolutional Neural Networks (CNN), and autoencoders are used to make a decision. A distinction is also made between training using class labels and without. It turns out later that the salience metric are best performed by CNN. On the other hand, if there is no labeled training data available, a novelty classification can easily be achieved by using autoencoders as well as the salience metric and some filters.}}, author = {{Sander, Tom and Lange, Sven and Hilleringmann, Ulrich and Geneis, Volker and Hedayat, Christian and Kuhn, Harald and Gockel, Franz-Barthold}}, booktitle = {{22nd IEEE International Conference on Industrial Technology (ICIT)}}, isbn = {{9781728157306}}, keywords = {{Image Processing, Defect Detection, wooden surfaces, Machine Learning, Neural Networks}}, location = {{Valencia, Spain }}, publisher = {{IEEE}}, title = {{{Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction}}}, doi = {{10.1109/icit46573.2021.9453646}}, year = {{2021}}, } @misc{22483, abstract = {{This bachelor thesis presents a C/C++ implementation of the XCS algorithm for an embedded system and profiling results concerning the execution time of the functions. These are then analyzed in relation to the input characteristics of the examined learning environments and compared with related work. Three main conclusions can be drawn from the measured results. First, the maximum size of the population of the classifiers influences the runtime of the genetic algorithm; second, the size of the input space has a direct effect on the execution time of the matching function; and last, a larger action space results in a longer runtime generating the prediction for the possible actions. The dependencies identified here can serve to optimize the computational efficiency and make XCS more suitable for embedded systems.}}, author = {{Brede, Mathis}}, publisher = {{Paderborn University}}, title = {{{Implementation and Profiling of XCS in the Context of Embedded Systems}}}, year = {{2021}}, } @article{22495, author = {{Zimmer, Detmar and Koers, Thorsten and Bührmann, Tobias}}, isbn = {{1613-5504}}, journal = {{Newsletter der Wissenschaftlichen Gesellschaft für Produktentwicklung}}, pages = {{9--10}}, publisher = {{Wissenschaftliche Gesellschaft für Produktentwicklung WiGeP}}, title = {{{Zukunftstechnologie und moderne Antriebe kombiniert: AM in modularen Antriebssystemen}}}, volume = {{1}}, year = {{2021}}, } @unpublished{22509, abstract = {{Self-training is an effective approach to semi-supervised learning. The key idea is to let the learner itself iteratively generate "pseudo-supervision" for unlabeled instances based on its current hypothesis. In combination with consistency regularization, pseudo-labeling has shown promising performance in various domains, for example in computer vision. To account for the hypothetical nature of the pseudo-labels, these are commonly provided in the form of probability distributions. Still, one may argue that even a probability distribution represents an excessive level of informedness, as it suggests that the learner precisely knows the ground-truth conditional probabilities. In our approach, we therefore allow the learner to label instances in the form of credal sets, that is, sets of (candidate) probability distributions. Thanks to this increased expressiveness, the learner is able to represent uncertainty and a lack of knowledge in a more flexible and more faithful manner. To learn from weakly labeled data of that kind, we leverage methods that have recently been proposed in the realm of so-called superset learning. In an exhaustive empirical evaluation, we compare our methodology to state-of-the-art self-supervision approaches, showing competitive to superior performance especially in low-label scenarios incorporating a high degree of uncertainty.}}, author = {{Lienen, Julian and Hüllermeier, Eyke}}, booktitle = {{arXiv:2106.11853}}, title = {{{Credal Self-Supervised Learning}}}, year = {{2021}}, } @article{22510, abstract = {{Over the past decades, the Gathering problem, which asks to gather a group of robots in finite time given some restrictions, has been intensively studied. In this paper, we are given a group of n autonomous, dimensionless, deterministic, and anonymous robots, with bounded viewing range. Assuming a continuous time model, the goal is to gather these robots into one point in finite time. We introduce a simple convergence criterion that defines a new class of algorithms which perform gathering in O(nd) time, where d is the diameter of the initial robot configuration. We show that some gathering algorithms in the literature belong to this class and propose two new algorithms that belong to this class and have quadratic running time, namely, Go-To-The-Relative-Center algorithm (GTRC) and Safe-Go-To-The-Relative-Center algorithm (S-GTRC). We prove that the latter can perform gathering without collision by using a slightly more complex robot model: non oblivious, chiral, and luminous (i.e. robots have observable external memory, as in [8]). We also consider a variant of the Gathering problem, the Near-Gathering problem, in which robots must get close to each other without colliding. We show that S-GTRC solves the Near-Gathering problem in quadratic time and assumes a weaker robot model than the one assumed in the current state-of-the-art.}}, author = {{Li, Shouwei and Markarian, Christine and Meyer auf der Heide, Friedhelm and Podlipyan, Pavel}}, issn = {{0304-3975}}, journal = {{Theoretical Computer Science}}, keywords = {{Local algorithms, Distributed algorithms, Collisionless gathering, Mobile robots, Multiagent system}}, pages = {{41--60}}, title = {{{A continuous strategy for collisionless gathering}}}, doi = {{10.1016/j.tcs.2020.10.037}}, volume = {{852}}, year = {{2021}}, } @article{22511, abstract = {{In this paper, we reconsider the well-known discrete, round-based Go-To-The-Center algorithm due to Ando, Suzuki, and Yamashita [2] for gathering n autonomous mobile robots with limited viewing range in the plane. Remarquably, this algorithm exploits the fact that during its execution, many collisions of robots occur. Such collisions are interpreted as a success because it is assumed that such collided robots behave the same from now on. This is acceptable under the assumption that each robot is represented by a single point. Otherwise, collisions should be avoided. In this paper, we consider a continuous Go-To-The-Center algorithm in which the robots continuously observe the positions of their neighbors and adapt their speed (assuming a speed limit) and direction. Our first results are time bounds of O(n2) for gathering in two dimensions Euclidean space, and Θ(n) for the one dimension. Our main contribution is the introduction and evaluation of a continuous algorithm which performs Go-To-The-Center considering only the neighbors of a robot with respect to the Gabriel subgraph of the visibility graph, i.e. Go-To-The-Gabriel-Center algorithm. We show that this modification still correctly executes gathering in one and two dimensions, with the same time bounds as above. Simulations exhibit a severe difference of the behavior of the Go-To-The-Center and the Go-To-The-Gabriel-Center algorithms: Whereas lots of collisions occur during a run of the Go-To-The-Center algorithm, typically only one, namely the final collision occurs during a run of the Go-To-The-Gabriel-Center algorithm. We can prove this “collisionless property” of the Go-To-The-Gabriel-Center algorithm for one dimension. In two-dimensional Euclidean space, we conjecture that the “collisionless property” holds for almost every initial configuration. We support our conjecture with measurements obtained from the simulation where robots execute both continuous Go-To-The-Center and Go-To-The-Gabriel-Center algorithms. }}, author = {{Li, Shouwei and Meyer auf der Heide, Friedhelm and Podlipyan, Pavel}}, issn = {{0304-3975}}, journal = {{Theoretical Computer Science}}, keywords = {{Local algorithms, Distributed algorithms, Collisionless gathering, Mobile robots, Multiagent system}}, pages = {{29--40}}, title = {{{The impact of the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous robots}}}, doi = {{10.1016/j.tcs.2020.11.009}}, volume = {{852}}, year = {{2021}}, } @inproceedings{22514, author = {{Kucklick, Jan-Peter and Müller, Jennifer and Beverungen, Daniel and Müller, Oliver}}, booktitle = {{European Conference on Information Systems}}, location = {{Virtual}}, title = {{{Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach}}}, year = {{2021}}, } @article{22518, author = {{Triebus, Marcel and Gierse, Jan and Marten, Thorsten and Tröster, Thomas}}, issn = {{1757-8981}}, journal = {{IOP Conference Series: Materials Science and Engineering}}, location = {{Virtual - Stuttgart}}, publisher = {{IOP Publishing Ltd}}, title = {{{A new Device for Determination of Forming-Limit-Curves under Hot-Forming Conditions}}}, doi = {{10.1088/1757-899x/1157/1/012052}}, year = {{2021}}, } @article{22523, abstract = {{The containment of COVID-19 critically hinges on individuals’ behavior. We investigate how individuals react to variations in COVID-19 reporting. Using a survey, we elicit individuals' perceived infection risk given various COVID-19 metrics (e.g., confirmed cases, reproduction rate, or case-fatality ratio). We proxy individuals' risk perception with their willingness to pay for the participation in everyday life and amusements events. We find that participants react to different COVID-19 metrics with varying sensitivity. We observe a saturation of sensitivity for several measures at critical limits used in the political discussion, making our results highly relevant for policy makers in their efforts to direct individuals to adhere to hygienic etiquette and social distancing guidelines.}}, author = {{Warkulat, Sonja and Krull, Sebastian and Ortmann, Regina and Klocke, Nina and Pelster, Matthias}}, journal = {{Covid Economics}}, keywords = {{COVID-19 reporting, willingness to pay, willingness to accept}}, number = {{83}}, pages = {{183--205}}, publisher = {{CEPR Press}}, title = {{{COVID-19 reporting and willingness to pay for leisure activities}}}, year = {{2021}}, } @inproceedings{22532, abstract = {{In this publication, further elements of the newly developed inductive localization in the near field are presented. The advantage of inductive localization is the usage of the magnetic fields, which have a very low influence of non-metallic materials in the environment and thus follows good applications in the area of medicine and biochemistry. This allows a precise localization of sensor platforms in inhomogeneous mixtures of materials, where classical methods have major problems with inhomogeneous dielectric conductivity or density. The calculation of the localization of the searched object differs from other methods such as ultrasound or electromagnetic waves due to the source-free propagation of the magnetic field. Therefore, new mathematical evaluation methods and systematic adaptations are necessary, which are presented in this paper in circuit analysis. For this purpose, the exact circuit influences of one coil and the influence of another coil are investigated and which resonance circuit should be selected for both coils for a inductive localization with optimized signal strength.}}, author = {{Lange, Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}}, booktitle = {{2021 Smart Systems Integration (SSI)}}, isbn = {{9781665440929}}, keywords = {{Electrotechnical Characteristics of Real Coils, Inductive Localization, Resonant Circuit, Mutual Inductance, Near-Field}}, location = {{Grenoble, France }}, publisher = {{IEEE}}, title = {{{Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field}}}, doi = {{10.1109/ssi52265.2021.9466958}}, year = {{2021}}, } @article{22533, author = {{Meier, F. and Protte, M. and Baron, E. and Feneberg, M. and Goldhahn, R. and Reuter, Dirk and As, D. J.}}, issn = {{2158-3226}}, journal = {{AIP Advances}}, title = {{{Selective area growth of cubic gallium nitride on silicon (001) and 3C-silicon carbide (001)}}}, doi = {{10.1063/5.0053865}}, year = {{2021}}, } @article{22631, author = {{Krull, Sebastian and Loschelder, David D. and Boecker, Lea}}, journal = {{Frontiers in Psychology}}, title = {{{The Power and Peril of Precise vs. Round Health Message Interventions to Increase Stair-Use}}}, doi = {{10.3389/fpsyg.2021.624198}}, year = {{2021}}, } @article{22636, abstract = {{The effects that solid–liquid interfaces exert on the aggregation of proteins and peptides are of high relevance for various fields of basic and applied research, ranging from molecular biology and biomedicine to nanotechnology. While the influence of surface chemistry has received a lot of attention in this context, the role of surface topography has mostly been neglected so far. In this work, therefore, we investigate the aggregation of the type 2 diabetes-associated peptide hormone hIAPP in contact with flat and nanopatterned silicon oxide surfaces. The nanopatterned surfaces are produced by ion beam irradiation, resulting in well-defined anisotropic ripple patterns with heights and periodicities of about 1.5 and 30 nm, respectively. Using time-lapse atomic force microscopy, the morphology of the hIAPP aggregates is characterized quantitatively. Aggregation results in both amorphous aggregates and amyloid fibrils, with the presence of the nanopatterns leading to retarded fibrillization and stronger amorphous aggregation. This is attributed to structural differences in the amorphous aggregates formed at the nanopatterned surface, which result in a lower propensity for nucleating amyloid fibrillization. Our results demonstrate that nanoscale surface topography may modulate peptide and protein aggregation pathways in complex and intricate ways.}}, author = {{Hanke, Marcel and Yang, Yu and Ji, Yuxin and Grundmeier, Guido and Keller, Adrian}}, issn = {{1422-0067}}, journal = {{International Journal of Molecular Sciences}}, pages = {{5142}}, title = {{{Nanoscale Surface Topography Modulates hIAPP Aggregation Pathways at Solid–Liquid Interfaces}}}, doi = {{10.3390/ijms22105142}}, volume = {{22}}, year = {{2021}}, } @article{22637, abstract = {{Abstract Doxorubicin (DOX) is a common drug in cancer chemotherapy, and its high DNA-binding affinity can be harnessed in preparing DOX-loaded DNA nanostructures for targeted delivery and therapeutics. Although DOX has been widely studied, the existing literature of DOX-loaded DNA-carriers remains limited and incoherent. Here, based on an in-depth spectroscopic analysis, we characterize and optimize the DOX loading into different 2D and 3D scaffolded DNA origami nanostructures (DONs). In our experimental conditions, all DONs show similar DOX binding capacities (one DOX molecule per two to three base pairs), and the binding equilibrium is reached within seconds, remarkably faster than previously acknowledged. To characterize drug release profiles, DON degradation and DOX release from the complexes upon DNase I digestion was studied. For the employed DONs, the relative doses (DOX molecules released per unit time) may vary by two orders of magnitude depending on the DON superstructure. In addition, we identify DOX aggregation mechanisms and spectral changes linked to pH, magnesium, and DOX concentration. These features have been largely ignored in experimenting with DNA nanostructures, but are probably the major sources of the incoherence of the experimental results so far. Therefore, we believe this work can act as a guide to tailoring the release profiles and developing better drug delivery systems based on DNA-carriers.}}, author = {{Ijäs, Heini and Shen, Boxuan and Heuer-Jungemann, Amelie and Keller, Adrian and Kostiainen, Mauri A and Liedl, Tim and Ihalainen, Janne A and Linko, Veikko}}, issn = {{0305-1048}}, journal = {{Nucleic Acids Research}}, pages = {{3048--3062}}, title = {{{Unraveling the interaction between doxorubicin and DNA origami nanostructures for customizable chemotherapeutic drug release}}}, doi = {{10.1093/nar/gkab097}}, volume = {{49}}, year = {{2021}}, } @article{22638, author = {{Xin, Y and Shen, B and Kostiainen, MA and Grundmeier, Guido and Castro, M and Linko, V and Keller, Adrian}}, issn = {{0947-6539}}, journal = {{Chemistry – A European Journal}}, number = {{33}}, pages = {{8564--8571}}, title = {{{Scaling Up DNA Origami Lattice Assembly.}}}, doi = {{10.1002/chem.202100784}}, volume = {{27}}, year = {{2021}}, } @article{22639, author = {{Yang, Y and Knust, S and Schwiderek, S and Qin, Q and Yun, Q and Grundmeier, Guido and Keller, Adrian}}, issn = {{2079-4991}}, journal = {{Nanomaterials}}, number = {{2}}, pages = {{ 357 }}, title = {{{Protein Adsorption at Nanorough Titanium Oxide Surfaces: The Importance of Surface Statistical Parameters beyond Surface Roughness.}}}, doi = {{10.3390/nano11020357}}, volume = {{11}}, year = {{2021}}, } @article{22640, author = {{Piskunen, Petteri and Shen, Boxuan and Keller, Adrian and Toppari, J. Jussi and Kostiainen, Mauri A. and Linko, Veikko}}, issn = {{2574-0970}}, journal = {{ACS Applied Nano Materials}}, pages = {{529--538}}, title = {{{Biotemplated Lithography of Inorganic Nanostructures (BLIN) for Versatile Patterning of Functional Materials}}}, doi = {{10.1021/acsanm.0c02849}}, volume = {{4}}, year = {{2021}}, }