@article{17862,
  author       = {{Schlangenotto, Darius and Schnedler, Wendelin and Vadovic, Radovan}},
  journal      = {{Games}},
  number       = {{3}},
  pages        = {{1----24}},
  title        = {{{Against All Odds: Tentative Steps Toward Efficient Information Sharing in Groups}}},
  volume       = {{11}},
  year         = {{2020}},
}

@article{18236,
  author       = {{Schnedler, Wendelin and Stephan, Nina Lucia}},
  issn         = {{1439-2917}},
  journal      = {{Schmalenbach Business Review}},
  pages        = {{347--364}},
  title        = {{{Revisiting a Remedy Against Chains of Unkindness}}},
  doi          = {{10.1007/s41464-020-00090-2}},
  year         = {{2020}},
}

@inproceedings{31361,
  abstract     = {{At Paderborn University, a new 6th semester geometry-course for upper secondary student teachers has been designed and taught by the first author of this paper. To show links between academic mathematics and school mathematics we established so-called interface weeks. These are weeks during a course in which lecture, exercises and homework focus on topics that are related to the normal canon of content but specially chosen for their relevance in school contexts. In this article, we want to present our design for an interface week on the topic of congruence. In order to do so, we first illustrate how so-called interface aspects are used to systematize the mathematical background of the topic, thus giving future mathematics teachers the chance to act professionally. We then show examples of learning activities and first results of the accompanying research.}},
  author       = {{Hoffmann, Max and Biehler, Rolf}},
  booktitle    = {{ INDRUM 2020, Université de Carthage, Université de Montpellier, Sep 2020, Cyberspace (virtually from Bizerte), Tunisia}},
  title        = {{{Designing a Geometry Capstone Course for Student Teachers: Bridging the gap between academic mathematics and school mathematics in the case of congruence}}},
  year         = {{2020}},
}

@article{47956,
  abstract     = {{Optically nonlinear Pb2B5O9X (X = Cl, Br) borate halides are an important group of materials for second harmonic generation (SHG). Additionally, they also possess excellent photocatalytic activity and stability in the process of dechlorination of chlorophenols, which are typical persistent organic pollutants. It would be of great interest to conduct in situ (photo‐) catalysis investigations during the whole photocatalytic process by SHG when considering them as photocatalytic materials. In order to get superior photocatalytic efficiency and maximum surface information, small particles are highly desired. Here, a low‐cost and fast synthesis route that allows growing microcrystalline optically nonlinear Pb<jats:sub>2</jats:sub>B<jats:sub>5</jats:sub>O<jats:sub>9</jats:sub>X borate halides at large quantities is introduced. When applying the ionothermal growth process at temperatures between 130 and 170 °C, microcrystallites with an average size of about 1 µm precipitate with an orthorhombic hilgardite‐like borate halide structure. Thorough examinations using powder X‐ray diffraction and scanning electron microscopy, the Pb2B5O9X microcrystals are indicated to be chemically pure and single‐phased. Besides, the Pb2B5O9X borate halides' SHG efficiencies are confirmed using confocal SHG microscopy. The low‐temperature synthesis route thus makes these borate halides a highly desirable material for surface studies such as monitoring chemical reactions with picosecond time resolution and in situ (photo‐) catalysis investigations.</jats:p>}},
  author       = {{Tan, Deming and Kirbus, Benjamin and Rüsing, Michael and Pietsch, Tobias and Ruck, Michael and Eng, Lukas M.}},
  issn         = {{1613-6810}},
  journal      = {{Small}},
  keywords     = {{Biomaterials, Biotechnology, General Materials Science, General Chemistry}},
  number       = {{23}},
  publisher    = {{Wiley}},
  title        = {{{Resource‐Efficient Low‐Temperature Synthesis of Microcrystalline Pb2B5O9X (X = Cl, Br) for Surfaces Studies by Optical Second Harmonic Generation}}},
  doi          = {{10.1002/smll.202000857}},
  volume       = {{16}},
  year         = {{2020}},
}

@inproceedings{47959,
  author       = {{Rüsing, Michael and Roeper, M. and Amber, Z. and Kirbus, B. and Eng, L.M. and Zhao, J. and Mookherjea, S.}},
  booktitle    = {{2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF)}},
  publisher    = {{IEEE}},
  title        = {{{Periodic Poling of X-Cut Thin-Film Lithium Niobate: The Route to Submicrometer Periods}}},
  doi          = {{10.1109/ifcs-isaf41089.2020.9234870}},
  year         = {{2020}},
}

@article{48432,
  author       = {{Wille, Manuel}},
  journal      = {{Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online, edited by Stefan J. Schierholz.}},
  publisher    = {{Berlin, Boston: De Gruyter}},
  title        = {{{Pressesprache}}},
  year         = {{2020}},
}

@article{48431,
  author       = {{Wille, Manuel}},
  journal      = {{Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online, edited by Stefan J. Schierholz.}},
  publisher    = {{ Berlin, Boston: De Gruyter}},
  title        = {{{Zeitungsstil}}},
  year         = {{2020}},
}

@article{45383,
  author       = {{Dröse, Jennifer and Prediger, Susanne}},
  journal      = {{Journal für Mathematik-Didaktik, 41(2)}},
  pages        = {{399--422}},
  title        = {{{Enhancing Fifth Graders’ Awareness of Syntactic Features in Mathematical Word Problems: A Design Research Study on the Variation Principle}}},
  doi          = {{doi.org/10.1007/s13138-019-00153-z}},
  year         = {{2020}},
}

@inproceedings{20762,
  abstract     = {{The rising interest in single-channel multi-speaker speech separation sparked development of End-to-End (E2E) approaches to multispeaker speech recognition. However, up until now, state-of-theart neural network–based time domain source separation has not yet been combined with E2E speech recognition. We here demonstrate how to combine a separation module based on a Convolutional Time domain Audio Separation Network (Conv-TasNet) with an E2E speech recognizer and how to train such a model jointly by distributing it over multiple GPUs or by approximating truncated back-propagation for the convolutional front-end. To put this work into perspective and illustrate the complexity of the design space, we provide a compact overview of single-channel multi-speaker recognition systems. Our experiments show a word error rate of 11.0% on WSJ0-2mix and indicate that our joint time domain model can yield substantial improvements over cascade DNN-HMM and monolithic E2E frequency domain systems proposed so far.}},
  author       = {{von Neumann, Thilo and Kinoshita, Keisuke and Drude, Lukas and Boeddeker, Christoph and Delcroix, Marc and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}},
  booktitle    = {{ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  pages        = {{7004--7008}},
  title        = {{{End-to-End Training of Time Domain Audio Separation and Recognition}}},
  doi          = {{10.1109/ICASSP40776.2020.9053461}},
  year         = {{2020}},
}

@inproceedings{20764,
  abstract     = {{Most approaches to multi-talker overlapped speech separation and recognition assume that the number of simultaneously active speakers is given, but in realistic situations, it is typically unknown. To cope with this, we extend an iterative speech extraction system with mechanisms to count the number of sources and combine it with a single-talker speech recognizer to form the first end-to-end multi-talker automatic speech recognition system for an unknown number of active speakers. Our experiments show very promising performance in counting accuracy, source separation and speech recognition on simulated clean mixtures from WSJ0-2mix and WSJ0-3mix. Among others, we set a new state-of-the-art word error rate on the WSJ0-2mix database. Furthermore, our system generalizes well to a larger number of speakers than it ever saw during training, as shown in experiments with the WSJ0-4mix database. }},
  author       = {{von Neumann, Thilo and Boeddeker, Christoph and Drude, Lukas and Kinoshita, Keisuke and Delcroix, Marc and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proc. Interspeech 2020}},
  pages        = {{3097--3101}},
  title        = {{{Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR}}},
  doi          = {{10.21437/Interspeech.2020-2519}},
  year         = {{2020}},
}

@inproceedings{18651,
  abstract     = {{We present an approach to deep neural network based (DNN-based) distance estimation in reverberant rooms for supporting geometry calibration tasks in wireless acoustic sensor networks. Signal diffuseness information from acoustic signals is aggregated via the coherent-to-diffuse power ratio to obtain a distance-related feature, which is mapped to a source-to-microphone distance estimate by means of a DNN. This information is then combined with direction-of-arrival estimates from compact microphone arrays to infer the geometry of the sensor network. Unlike many other approaches to geometry calibration, the proposed scheme does only require that the sampling clocks of the sensor nodes are roughly synchronized. In simulations we show that the proposed DNN-based distance estimator generalizes to unseen acoustic environments and that precise estimates of the sensor node positions are obtained. }},
  author       = {{Gburrek, Tobias and Schmalenstroeer, Joerg and Brendel, Andreas and Kellermann, Walter and Haeb-Umbach, Reinhold}},
  booktitle    = {{European Signal Processing Conference (EUSIPCO)}},
  title        = {{{Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network}}},
  year         = {{2020}},
}

@inproceedings{24330,
  author       = {{Knorr, Karin and Auer, Thorsten Fabian and Thommes, Kirsten}},
  booktitle    = {{Academy of Management Proceedings}},
  issn         = {{2151-6561}},
  number       = {{1}},
  title        = {{{Is Corruption Imprinted? A Study on Preconditions of Corruption in Post-Communist Countries}}},
  doi          = {{10.5465/AMBPP.2020.16489.abstract}},
  volume       = {{2020}},
  year         = {{2020}},
}

@inproceedings{47960,
  author       = {{Reitzig, Sven and Rüsing, Michael and Kirbus, Benjamin and Gossel, Joshua and Singh, Ekta and Eng, Lukas M. and Zhao, Jie and Mookherjea, Shayan}},
  booktitle    = {{2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF)}},
  publisher    = {{IEEE}},
  title        = {{{micro-Raman Investigations of Periodically-Poled X-Cut Thin-Film Lithium Niobate for Integrated Optics}}},
  doi          = {{10.1109/ifcs-isaf41089.2020.9234951}},
  year         = {{2020}},
}

@article{37831,
  abstract     = {{<jats:p> Zusammenfassung. Die vorliegende Studie befasst sich mit der Übersetzung und Validierung des englischsprachigen Sport Emotion Questionnaire (SEQ; Jones et al., 2005 ), der vorwettbewerblichen Emotionen von Sporttreibenden misst. In einer ersten Teilstudie wurde mittels einer Hin-Rück-Übersetzung und des Bilingual-Retest-Verfahrens ( n = 32) eine deutsche Version des SEQ (SEQ-d) erzeugt. In Studie 2 (Tennisspieler/innen, n = 116) zeigte sich jedoch eine vom Original abweichende Faktorstruktur, woraufhin der SEQ-d als dreidimensionale Kurzskala entwickelt wurde. Diese wurde in Studie 3 (Läufern/innen, n = 271) validiert. Die Kurzskala besitzt einen akzeptablen Fit (CFI = .950, RMSEA = .069, SRMR = .063) und eine interne Konsistenz von α = .84 (negative Emotionen), α = .86 (positive Emotionen), α = .87 (Anspannung). Durch Korrelationen mit anderen Emotionsmerkmalen konnte die konvergente Validität bestätigt werden. Die Kriteriumsvalidität wurde anhand wettkampf- und personenbezogener Zusatzparameter untersucht (bspw. Alter, Wettkampferfahrung…). Mit der deutschsprachigen Version des SEQ liegt ein ökonomisches und validiertes Messinstrument zur Erfassung vorwettbewerblicher Emotionen vor. </jats:p>}},
  author       = {{Wetzel, Änne and Weigelt, Matthias and Klingsieck, Katrin Birte}},
  issn         = {{0012-1924}},
  journal      = {{Diagnostica}},
  keywords     = {{Clinical Psychology}},
  number       = {{4}},
  pages        = {{246--257}},
  publisher    = {{Hogrefe Publishing Group}},
  title        = {{{Übersetzung und Validierung einer deutschsprachigen Version des Sport Emotion Questionnaire (SEQ)}}},
  doi          = {{10.1026/0012-1924/a000255}},
  volume       = {{66}},
  year         = {{2020}},
}

@inproceedings{20766,
  abstract     = {{Recently, the source separation performance was greatly improved by time-domain audio source separation based on dual-path recurrent neural network (DPRNN). DPRNN is a simple but effective model for a long sequential data. While DPRNN is quite efficient in modeling a sequential data of the length of an utterance, i.e., about 5 to 10 second data, it is harder to apply it to longer sequences such as whole conversations consisting of multiple utterances. It is simply because, in such a case, the number of time steps consumed by its internal module called inter-chunk RNN becomes extremely large. To mitigate this problem, this paper proposes a multi-path RNN (MPRNN), a generalized version of DPRNN, that models the input data in a hierarchical manner. In the MPRNN framework, the input data is represented at several (>_ 3) time-resolutions, each of which is modeled by a specific RNN sub-module. For example, the RNN sub-module that deals with the finest resolution may model temporal relationship only within a phoneme, while the RNN sub-module handling the most coarse resolution may capture only the relationship between utterances such as speaker information. We perform experiments using simulated dialogue-like mixtures and show that MPRNN has greater model capacity, and it outperforms the current state-of-the-art DPRNN framework especially in online processing scenarios.}},
  author       = {{Kinoshita, Keisuke and von Neumann, Thilo and Delcroix, Marc and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proc. Interspeech 2020}},
  pages        = {{2652--2656}},
  title        = {{{Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation}}},
  doi          = {{10.21437/Interspeech.2020-2388}},
  year         = {{2020}},
}

@inproceedings{23518,
  author       = {{Gräßler, Iris and Roesmann, Daniel and Pottebaum, Jens}},
  booktitle    = {{Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020}},
  pages        = {{479--484}},
  publisher    = {{Elsevier }},
  title        = {{{Traceable learning effects by use of digital adaptive assistance in production}}},
  doi          = {{doi: 10.1016/j.promfg.2020.04.058}},
  volume       = {{45}},
  year         = {{2020}},
}

@inproceedings{23513,
  author       = {{Gräßler, Iris and Pottebaum, Jens and Scholle, Philipp and Thiele, Henrik}},
  booktitle    = {{ISPIM Conference Proceedings; 7. - 10. Jun. 2020}},
  pages        = {{1--9}},
  publisher    = {{International Society for Professional Innovation Management (ISPIM)}},
  title        = {{{Innovation management and strategic planning of innovative self-preparednes and self-Protection services}}},
  year         = {{2020}},
}

@article{23468,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The value of models is well recognised in product and systems engineering. Modelling languages and diagrams are used to capture mental models and to handle model complexity. Literature research indicates that there are only very few approaches to utilise the potential of virtual and augmented reality for supporting tasks in model based (systems) engineering. The paper at hand contributes a new morphology of intuitive interaction for Immersive Abstraction as a holistic approach to extend that coverage. It presents a holistic framework to categorise solutions and future research directions.</jats:p>}},
  author       = {{Gräßler, Iris and Pottebaum, Jens}},
  issn         = {{2633-7762}},
  journal      = {{Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020}},
  pages        = {{1295--1304}},
  publisher    = {{Cambridge University Press}},
  title        = {{{Immersive Abstraction: A new Morphology of Intuitive Interaction with System Models}}},
  doi          = {{10.1017/dsd.2020.158}},
  volume       = {{Band 1}},
  year         = {{2020}},
}

@inproceedings{23520,
  author       = {{Gräßler, Iris and Roesmann, Daniel and Pottebaum, Jens}},
  booktitle    = {{Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020}},
  isbn         = {{978-3-936804-27-0}},
  pages        = {{B.6.4}},
  publisher    = {{Gesellschaft für Arbeitswissenschaft e. V., Dortmund}},
  title        = {{{Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen}}},
  year         = {{2020}},
}

@inproceedings{23519,
  author       = {{Gräßler, Iris and Pottebaum, Jens and Taplick, Patrick and Roesmann, Daniel and Kamann, Markus}},
  booktitle    = {{Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020}},
  isbn         = {{978-3-936804-27-0}},
  pages        = {{B.2.2}},
  publisher    = {{Gesellschaft für Arbeitswissenschaft e. V., Dortmund}},
  title        = {{{Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung}}},
  year         = {{2020}},
}