@techreport{46521,
  author       = {{Freise, Diana and Schiele, Valentin and Schmitz, Hendrik}},
  issn         = {{1556-5068}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Housing Situations and Local COVID-19 Infection Dynamics – A Case Study With Small-Area Data}}},
  doi          = {{10.2139/ssrn.4372490}},
  year         = {{2023}},
}

@unpublished{46579,
  abstract     = {{The Koopman operator has become an essential tool for data-driven analysis, prediction and control of complex systems, the main reason being the enormous potential of identifying linear function space representations of nonlinear
dynamics from measurements. Until now, the situation where for large-scale systems, we (i) only have access to partial observations (i.e., measurements, as is very common for experimental data) or (ii) deliberately perform coarse
graining (for efficiency reasons) has not been treated to its full extent. In this paper, we address the pitfall associated with this situation, that the classical EDMD algorithm does not automatically provide a Koopman operator approximation for the underlying system if we do not carefully select the number of observables. Moreover, we show that symmetries in the system dynamics can be carried over to the Koopman operator, which allows us to massively increase the model efficiency. We also briefly draw a connection to domain decomposition techniques for partial differential equations and present numerical evidence using the Kuramoto--Sivashinsky equation.}},
  author       = {{Peitz, Sebastian and Harder, Hans and Nüske, Feliks and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl}},
  booktitle    = {{arXiv:2307.15325}},
  title        = {{{Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems}}},
  year         = {{2023}},
}

@techreport{46536,
  abstract     = {{We study the effect of education on vaccination against COVID-19 and influenza in Germany and Europe. Our identification strategy makes use of changes in compulsory schooling laws and allows to estimate local average treatment effects for individuals between 59 and 91 years of age. We find no significant effect of an additional year of schooling on vaccination status in Germany. Pooling data from Europe, we conclude that schooling increases the likelihood to vaccinate against COVID by an economically negligible effect of one percentage point (zero for influenza). However, we find indications that additional schooling increases fear of side effects from COVID vaccination.}},
  author       = {{Monsees, Daniel and Schmitz, Hendrik}},
  keywords     = {{COVID, influenza, vaccination, education, compulsory schooling}},
  publisher    = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}},
  title        = {{{The effect of compulsory schooling on vaccination against COVID and Influenza}}},
  volume       = {{1011}},
  year         = {{2023}},
}

@inproceedings{42459,
  author       = {{Ostermann, Moritz and Behm, Jonathan and Marten, Thorsten and Tröster, Thomas}},
  booktitle    = {{WerkstoffPlus Auto 13. Fachtagung für neue Fahrzeug- und Werkstoffkonzepte}},
  location     = {{Stuttgart}},
  title        = {{{NeMo.bil - Dekarbonisierung des Verkehrs mithilfe von Leichtbau-Fahrzeugschwärmen}}},
  year         = {{2023}},
}

@article{46622,
  author       = {{Vöing, Nerea}},
  journal      = {{Lehren im Leben - Blog der Stiftung Innovation in der Hochschullehre}},
  title        = {{{16 Fragen, 16 Antworten: In unserer Rubrik „Lehren im Leben” stellen wir Menschen vor, die Hochschullehre gestalten. Folge 6: Dr. Nerea Vöing}}},
  volume       = {{6}},
  year         = {{2023}},
}

@article{46623,
  author       = {{Vöing, Nerea}},
  journal      = {{Trafohaus//Lehre (Podcast der HD Sachsen)}},
  title        = {{{Ein Blick auf Lehre und Lernen in Hochschulen durch die Brille der Hochschuldidaktik"}}},
  year         = {{2023}},
}

@techreport{46624,
  author       = {{Vöing, Nerea and Arnold, Maik and Reisas, Sabine}},
  title        = {{{Lehrentwicklung durch Scholarship of Teaching and Learning – mit SoTL Hochschullehre beforschen, weiterentwickeln und teilen}}},
  year         = {{2023}},
}

@article{45602,
  author       = {{Karakaya, Yasin and Somnitz, H. and Hermsen, A. and Gonchikzhapov, Munko and Kasper, Tina}},
  issn         = {{2666-352X}},
  journal      = {{Applications in Energy and Combustion Science}},
  keywords     = {{Metastable particles, Nanomaterials, Quartz-crystal-microbalance, Molecular-beam mass spectrometry, Tetramethylsilane, Reaction kinetics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Revisiting the initial reaction rates for TMS combustion and a new evidence for metastable silica nanoparticles in the gas-phase synthesis}}},
  doi          = {{10.1016/j.jaecs.2023.100152}},
  volume       = {{14}},
  year         = {{2023}},
}

@article{46644,
  abstract     = {{A reliable, but cost-effective generation of single-photon states is key for practical quantum communication systems. For real-world deployment, waveguide sources offer optimum compatibility with fiber networks and can be embedded in hybrid integrated modules. Here, we present what we believe to be the first chip-size fully integrated fiber-coupled heralded single photon source (HSPS) module based on a hybrid integration of a nonlinear lithium niobate waveguide into a polymer board. Photon pairs at 810 nm (signal) and 1550 nm (idler) are generated via parametric down-conversion pumped at 532 nm in the LiNbO3 waveguide. The pairs are split in the polymer board and routed to separate output ports. The module has a size of (2 × 1) cm^2 and is fully fiber-coupled with one pump input fiber and two output fibers. We measure a heralded second-order correlation function of g_h(2)=0.05 with a heralding efficiency of η_h=3.5% at low pump powers}},
  author       = {{Kießler, Christian and Conradi, Hauke and Kleinert, Moritz and Quiring, Viktor and Herrmann, Harald and Silberhorn, Christine}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  keywords     = {{Atomic and Molecular Physics, and Optics}},
  number       = {{14}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Fiber-coupled plug-and-play heralded single photon source based on Ti:LiNbO3 and polymer technology}}},
  doi          = {{10.1364/oe.487581}},
  volume       = {{31}},
  year         = {{2023}},
}

@inbook{46647,
  abstract     = {{<jats:p>SoTL ist eine forschungsbasierte Haltung, die die Hochschullehre verbessern und innovieren will. Das deutschsprachige SoTL-Netzwerk hat fünf Thesen formuliert, die SoTL als Grundhaltung und Motor für Lehrentwicklung betonen. Der Beitrag diskutiert diese Thesen und stellt Aktivitäten des Netzwerks vor, die SoTL an Hochschulen und Universitäten fördern und vernetzen wollen. Dabei wird auch die Rolle der »Teacher-Researcher« hervorgehoben.</jats:p>}},
  author       = {{Arnold, Maik and Vöing, Nerea and Reisas, Sabine}},
  booktitle    = {{Hochschulbildung: Lehre und Forschung}},
  isbn         = {{9783837661804}},
  issn         = {{2749-7623}},
  publisher    = {{transcript Verlag}},
  title        = {{{Scholarship of Teaching and Learning (SoTL) als Motor für eine inter- und transdisziplinäre Hochschuldidaktik}}},
  doi          = {{10.14361/9783839461808-022}},
  year         = {{2023}},
}

@inproceedings{46493,
  author       = {{Weller, Julian and Roesmann, Daniel and Eggert, Sönke and von Enzberg, Sebastian and Gräßler, Iris and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{514--520}},
  publisher    = {{Elsevier BV}},
  title        = {{{Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics}}},
  doi          = {{10.1016/j.procir.2023.01.011}},
  volume       = {{119}},
  year         = {{2023}},
}

@inproceedings{46591,
  author       = {{Mapura Ramirez, Luz Alejandra and Kenig, Eugeny Y.}},
  location     = {{Frankfurt am Main}},
  title        = {{{Zur Berechnug von flüssigkeitsseitigen Stoffübergagnskoeffizienten für Strukturpackungen}}},
  year         = {{2023}},
}

@article{23428,
  abstract     = {{The Koopman operator has become an essential tool for data-driven approximation of dynamical (control) systems in recent years, e.g., via extended dynamic mode decomposition. Despite its popularity, convergence results and, in particular, error bounds are still quite scarce. In this paper, we derive probabilistic bounds for the approximation error and the prediction error depending on the number of training data points; for both ordinary and stochastic differential equations. Moreover, we extend our analysis to nonlinear control-affine systems using either ergodic trajectories or i.i.d.
samples. Here, we exploit the linearity of the Koopman generator to obtain a bilinear system and, thus, circumvent the curse of dimensionality since we do not autonomize the system by augmenting the state by the control inputs. To the
best of our knowledge, this is the first finite-data error analysis in the stochastic and/or control setting. Finally, we demonstrate the effectiveness of the proposed approach by comparing it with state-of-the-art techniques showing its superiority whenever state and control are coupled.}},
  author       = {{Nüske, Feliks and Peitz, Sebastian and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl}},
  journal      = {{Journal of Nonlinear Science}},
  title        = {{{Finite-data error bounds for Koopman-based prediction and control}}},
  doi          = {{10.1007/s00332-022-09862-1}},
  volume       = {{33}},
  year         = {{2023}},
}

@article{46637,
  author       = {{Gonchikzhapov, Munko and Kasper, Tina}},
  issn         = {{2666-352X}},
  journal      = {{Applications in Energy and Combustion Science}},
  keywords     = {{Nanoparticle synthesis, Flame spray pyrolysis, SpraySyn burner, Flame structure, Species distribution, Temperature distribution}},
  publisher    = {{Elsevier BV}},
  title        = {{{Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames}}},
  doi          = {{10.1016/j.jaecs.2023.100174}},
  volume       = {{15}},
  year         = {{2023}},
}

@article{21600,
  abstract     = {{Many problems in science and engineering require an efficient numerical approximation of integrals or solutions to differential equations. For systems with rapidly changing dynamics, an equidistant discretization is often inadvisable as it results in prohibitively large errors or computational effort. To this end, adaptive schemes, such as solvers based on Runge–Kutta pairs, have been developed which adapt the step size based on local error estimations at each step. While the classical schemes apply very generally and are highly efficient on regular systems, they can behave suboptimally when an inefficient step rejection mechanism is triggered by structurally complex systems such as chaotic systems. To overcome these issues, we propose a method to tailor numerical schemes to the problem class at hand. This is achieved by combining simple, classical quadrature rules or ODE solvers with data-driven time-stepping controllers. Compared with learning solution operators to ODEs directly, it generalizes better to unseen initial data as our approach employs classical numerical schemes as base methods. At the same time it can make use of identified structures of a problem class and, therefore, outperforms state-of-the-art adaptive schemes. Several examples demonstrate superior efficiency. Source code is available at https://github.com/lueckem/quadrature-ML.}},
  author       = {{Dellnitz, Michael and Hüllermeier, Eyke and Lücke, Marvin and Ober-Blöbaum, Sina and Offen, Christian and Peitz, Sebastian and Pfannschmidt, Karlson}},
  journal      = {{SIAM Journal on Scientific Computing}},
  number       = {{2}},
  pages        = {{A579--A595}},
  title        = {{{Efficient time stepping for numerical integration using reinforcement  learning}}},
  doi          = {{10.1137/21M1412682}},
  volume       = {{45}},
  year         = {{2023}},
}

@inbook{46691,
  author       = {{Dahms, Frederik and Homberg, Werner}},
  booktitle    = {{Lecture Notes in Mechanical Engineering}},
  isbn         = {{9783031410222}},
  issn         = {{2195-4356}},
  location     = {{Cannes, France}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Analysis and Modelling of the Deformation in the Manufacture of Flange-Contours by the Combined Friction-Spinning and Flow-Forming Process}}},
  doi          = {{10.1007/978-3-031-41023-9_72}},
  year         = {{2023}},
}

@inproceedings{46665,
  author       = {{Garnefeld, I. and Böhm, Eva and Hanf, L. and Helm, S.}},
  booktitle    = {{2023 AMA Summer Academic Conference, San Francisco, CA}},
  location     = {{San Francisco, CA}},
  title        = {{{Unboxing video effectiveness – Does speech matter?}}},
  year         = {{2023}},
}

@inproceedings{46666,
  author       = {{Kessing, K. and Garnefeld, I. and Böhm, Eva}},
  booktitle    = {{EMAC Annual Conference, Odense, Denmark}},
  location     = {{Odense, Denmark.}},
  title        = {{{The dark and bright side of online reviews in manufacturer online shops}}},
  year         = {{2023}},
}

@inproceedings{46667,
  author       = {{Hanf, L. and Garnefeld, I. and Böhm, Eva and Helm, S.}},
  booktitle    = {{EMAC Annual Conference, Odense, Denmark}},
  location     = {{Odense, Denmark}},
  title        = {{{Stimulating engagement with unboxing videos – Does speech matter?}}},
  year         = {{2023}},
}

@inproceedings{46739,
  author       = {{Sadeghi-Kohan, Somayeh and Hellebrand, Sybille and Wunderlich, Hans-Joachim}},
  booktitle    = {{2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)}},
  publisher    = {{IEEE}},
  title        = {{{Low Power Streaming of Sensor Data Using Gray Code-Based Approximate Communication}}},
  doi          = {{10.1109/dsn-w58399.2023.00056}},
  year         = {{2023}},
}

