@inproceedings{15423,
  author       = {{Lehmann, Tim and Büchel, Daniel and Cockcroft, John and Louw, Quinette and Baumeister, Jochen}},
  location     = {{Rom}},
  title        = {{{Phase Coupling of Bilateral Motor Areas Decreases from Bipedal to Single Leg Stance}}},
  year         = {{2019}},
}

@article{15425,
  author       = {{Gokeler, Alli and Neuhaus, D and Benjaminse, A and Grooms, DR and Baumeister, Jochen}},
  issn         = {{0112-1642}},
  journal      = {{Sports Med}},
  number       = {{6}},
  pages        = {{853--865}},
  title        = {{{Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury.}}},
  doi          = {{10.1007/s40279-019-01058-0}},
  volume       = {{49}},
  year         = {{2019}},
}

@article{15426,
  author       = {{An, YW and DiTrani Lobacz, A and Lehmann, T and Baumeister, Jochen and Rose, WC and Higginson, JS and Rosen, J and Swanik, CB}},
  issn         = {{0905-7188}},
  journal      = {{Scand J Med Sci Sports}},
  number       = {{2}},
  pages        = {{251--258}},
  title        = {{{Neuroplastic changes in anterior cruciate ligament reconstruction patients from neuromechanical decoupling.}}},
  doi          = {{10.1111/sms.13322}},
  volume       = {{29}},
  year         = {{2019}},
}

@article{15429,
  author       = {{Dingenen, B and Truijen, J and Bellemans, J and Gokeler, A}},
  issn         = {{0968-0160}},
  journal      = {{Knee}},
  number       = {{5}},
  pages        = {{978--987}},
  title        = {{{Test-retest reliability and discriminative ability of forward, medial and rotational single-leg hop tests.}}},
  doi          = {{10.1016/j.knee.2019.06.010}},
  volume       = {{26}},
  year         = {{2019}},
}

@phdthesis{15430,
  author       = {{Yigitbas, Enes}},
  title        = {{{Model-Driven Engineering of Self-Adaptive User Interfaces}}},
  year         = {{2019}},
}

@inproceedings{15478,
  abstract     = {{Stratix 10 FPGA cards have a good potential for the acceleration of HPC workloads since the Stratix 10 product line introduces devices with a large number of DSP and memory blocks. The high level synthesis of OpenCL codes can play a fundamental role for FPGAs in HPC, because it allows to implement different designs with lower development effort compared to hand optimized HDL. However, Stratix 10 cards are still hard to fully exploit using the Intel FPGA SDK for OpenCL. The implementation of designs with thousands of concurrent arithmetic operations often suffers from place and route problems that limit the maximum frequency or entirely prevent a successful synthesis. In order to overcome these issues for the implementation of the matrix multiplication, we formulate Cannon's matrix multiplication algorithm with regard to its efficient synthesis within the FPGA logic. We obtain a two-level block algorithm, where the lower level sub-matrices are multiplied using our Cannon's algorithm implementation. Following this design approach with multiple compute units, we are able to get maximum frequencies close to and above 300 MHz with high utilization of DSP and memory blocks. This allows for performance results above 1 TeraFLOPS.}},
  author       = {{Gorlani, Paolo and Kenter, Tobias and Plessl, Christian}},
  booktitle    = {{Proceedings of the International Conference on Field-Programmable Technology (FPT)}},
  publisher    = {{IEEE}},
  title        = {{{OpenCL Implementation of Cannon's Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs}}},
  doi          = {{10.1109/ICFPT47387.2019.00020}},
  year         = {{2019}},
}

@inproceedings{15488,
  abstract     = {{The continuous refinement of sensor technologies enables the manufacturing industry to capture increasing amounts of data during the production process. As processes take time to complete, sensors register large amounts of time-series-like data for each product. In order to make this data usable, a feature extraction is mandatory. In this work, we discuss and evaluate different network architectures, input pre-processing and cost functions regarding, among other aspects, their suitability for time series of different lengths.}},
  author       = {{Thiel, Christian and Steidl, Carolin and Henning, Bernd}},
  booktitle    = {{20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019}},
  isbn         = {{978-3-9819376-0-2}},
  keywords     = {{Dynamic Time Warping, Feature Extraction, Masking, Neural Networks}},
  title        = {{{P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press}}},
  doi          = {{10.5162/SENSOREN2019/P2.9}},
  year         = {{2019}},
}

@article{15492,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>Training mit ergänzendem verzögertem Feedback zeigt sich zum Erlernen einer postoperativen Teilbelastung beim Gehen an Unterarmgehstützen effektiv. Insbesondere die Verwendung von Bandbreitenfeedback hat sich bei anderen Bewegungsaufgaben im Hinblick auf die Ausführungspräzision, -konstanz und -automatizität als vorteilhaft erwiesen. In einer Studie mit 31 jungen gesunden Erwachsenen untersuchten wir diese Parameter im Rahmen eines Feedbacktrainings während einer Teilbelastungsaufgabe und verglichen dabei eine Bandbreitenmethode mit einem 100 %-Feedback und einer Kontrollbedingung.</jats:p><jats:p>Die in anderen Studien aufgezeigten Vorteile des Bandbreitenfeedbacks konnten in diesem Kontext für keinen der 3 Zielparameter gezeigt werden. Darüber hinaus ergeben sich aus den Daten 2 wichtige Hinweise für die rehabilitative Praxis: Zum einen konnten mit nur wenigen feedbackgestützten Übungsversuchen deutliche und zudem relativ behaltensstabile Reduktionen der Teilbelastung erreicht werden, zum anderen zeigte sich, dass das Teilbelastungsgehen einen hohen kognitiven Aufwand erfordert, der sich auch nach 2 umfangreichen Übungssitzungen nicht verringert und dazu führt, dass die Einhaltung der Teilbelastung bei Aufmerksamkeitsablenkung im Alltag beeinträchtigt sein könnte.</jats:p>}},
  author       = {{Krause, Daniel and Paschen, Linda and Vogt, Sarah}},
  issn         = {{1613-0863}},
  journal      = {{B&G Bewegungstherapie und Gesundheitssport}},
  pages        = {{14--19}},
  title        = {{{Zur Gestaltung von Feedbackprozeduren zum Erlernen der postoperativen Teilbelastung beim Gehen mit Unterarmgehstützen im Kontext der Bewegungsautomatisierung}}},
  doi          = {{10.1055/a-0818-7603}},
  year         = {{2019}},
}

@inproceedings{15532,
  author       = {{Purrmann, Maren and Wünderlich, Nancy}},
  booktitle    = {{Proceedings of the 2019 Frontiers in Service Conference}},
  location     = {{Singapore}},
  title        = {{{Value Co-Creation Patterns in Multi-Actor Service Interactions: A Framework for Collaborative Consumption Platforms}}},
  year         = {{2019}},
}

@inproceedings{15578,
  author       = {{Izu, Cruz and Schulte, Carsten and Aggarwal, Ashish and I. Cutts, Quintin and Duran, Rodrigo and Gutica, Mirela and Heinemann, Birte and Kraemer, Eileen and Lonati, Violetta and Mirolo, Claudio and Weeda, Renske}},
  booktitle    = {{Proceedings of the 2019 (ACM) Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019}},
  pages        = {{261--262}},
  title        = {{{Program Comprehension: Identifying Learning Trajectories for Novice Programmers}}},
  doi          = {{10.1145/3304221.3325531}},
  year         = {{2019}},
}

@inproceedings{15579,
  author       = {{Kapp, Florian and Schulte, Carsten}},
  booktitle    = {{Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund}},
  pages        = {{247--256}},
  title        = {{{Einsatz von Jupyter Notebooks am Beispiel eines fiktiven Kriminalfalls}}},
  doi          = {{10.18420/infos2019-c10}},
  year         = {{2019}},
}

@inproceedings{15581,
  author       = {{Müller, Kathrin and Schulte, Carsten and Magenheim, Johannes}},
  booktitle    = {{Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund}},
  pages        = {{139--148}},
  title        = {{{Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich}}},
  doi          = {{10.18420/infos2019-b10}},
  year         = {{2019}},
}

@inproceedings{15583,
  author       = {{Schmidt, Ann-Katrin and Schulte, Carsten}},
  booktitle    = {{Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund}},
  pages        = {{315--324}},
  title        = {{{Das RetiBNE Café}}},
  doi          = {{10.18420/infos2019-c17}},
  year         = {{2019}},
}

@inproceedings{15627,
  author       = {{Augustine, John and Hinnenthal, Kristian and Kuhn, Fabian and Scheideler, Christian and Schneider, Philipp}},
  booktitle    = {{Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms}},
  isbn         = {{9781611975994}},
  pages        = {{1280--1299}},
  title        = {{{Shortest Paths in a Hybrid Network Model}}},
  doi          = {{10.1137/1.9781611975994.78}},
  year         = {{2019}},
}

@inproceedings{15720,
  author       = {{Wilke, Adrian and Magenheim, Johannes}},
  booktitle    = {{IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019}},
  pages        = {{892--899}},
  title        = {{{Critical Incidents for Technology Enhanced Learning in Vocational Education and Training}}},
  doi          = {{10.1109/EDUCON.2019.8725025}},
  year         = {{2019}},
}

@book{15721,
  author       = {{Köller, Olaf and Magenheim, Johannes and Molitor, Heike and Pfenning, Uwe and Ramseger, J{\ and Steffensky, Mirjam and Wiesmüller, Christian and Winther, Esther and Wollring, Bernd}},
  publisher    = {{Verlag Barbara Budrich}},
  title        = {{{Zieldimensionen für Multiplikatorinnen und Multiplikatoren früher MINT-Bildung}}},
  year         = {{2019}},
}

@article{15724,
  author       = {{Ojha, Deepak and Kaliannan, Naveen Kumar and Kühne, Thomas D.}},
  issn         = {{2399-3669}},
  journal      = {{Communications Chemistry}},
  number       = {{1}},
  pages        = {{116}},
  title        = {{{Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface}}},
  doi          = {{10.1038/s42004-019-0220-6}},
  volume       = {{2}},
  year         = {{2019}},
}

@article{15738,
  author       = {{Ohto, Tatsuhiko and Dodia, Mayank and Xu, Jianhang and Imoto, Sho and Tang, Fujie and Zysk, Frederik and Kühne, Thomas D. and Shigeta, Yasuteru and Bonn, Mischa and Wu, Xifan and Nagata, Yuki}},
  issn         = {{1948-7185}},
  journal      = {{The Journal of Physical Chemistry Letters}},
  pages        = {{4914--4919}},
  title        = {{{Accessing the Accuracy of Density Functional Theory through Structure and Dynamics of the Water–Air Interface}}},
  doi          = {{10.1021/acs.jpclett.9b01983}},
  volume       = {{10}},
  year         = {{2019}},
}

@article{15740,
  author       = {{Guc, Maxim and Kodalle, Tim and Kormath Madam Raghupathy, Ramya and Mirhosseini, Hossein and Kühne, Thomas D. and Becerril-Romero, Ignacio and Pérez-Rodríguez, Alejandro and Kaufmann, Christian A. and Izquierdo-Roca, Victor}},
  issn         = {{1932-7447}},
  journal      = {{The Journal of Physical Chemistry C}},
  pages        = {{1285--1291}},
  title        = {{{Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations}}},
  doi          = {{10.1021/acs.jpcc.9b08781}},
  volume       = {{124}},
  year         = {{2019}},
}

@article{15741,
  abstract     = {{
In many cyber–physical systems, we encounter the problem of remote state estimation of geo- graphically distributed and remote physical processes. This paper studies the scheduling of sensor transmissions to estimate the states of multiple remote, dynamic processes. Information from the different sensors has to be transmitted to a central gateway over a wireless network for monitoring purposes, where typically fewer wireless channels are available than there are processes to be monitored. For effective estimation at the gateway, the sensors need to be scheduled appropriately, i.e., at each time instant one needs to decide which sensors have network access and which ones do not. To address this scheduling problem, we formulate an associated Markov decision process (MDP). This MDP is then solved using a Deep Q-Network, a recent deep reinforcement learning algorithm that is at once scalable and model-free. We compare our scheduling algorithm to popular scheduling algorithms such as round-robin and reduced-waiting-time, among others. Our algorithm is shown to significantly outperform these algorithms for many example scenario}},
  author       = {{Leong, Alex S. and Ramaswamy, Arunselvan and Quevedo, Daniel E. and Karl, Holger and Shi, Ling}},
  issn         = {{0005-1098}},
  journal      = {{Automatica}},
  title        = {{{Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems}}},
  doi          = {{10.1016/j.automatica.2019.108759}},
  year         = {{2019}},
}