@article{26908,
  author       = {{Reinhold, Jannik and Ködding, Patrick and Scholtysik, Michel and Koldewey, Christian and Dumitrescu, Roman}},
  journal      = {{Procedia CIRP}},
  title        = {{{Identifying Value Creation Patterns for Smart Services}}},
  year         = {{2021}},
}

@inproceedings{3774,
  author       = {{Bondarenko, Alexander and Gienapp, Lukas and Fröbe, Maik and Beloucif, Meriem and Ajjour, Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and Hagen, Matthias}},
  booktitle    = {{Proceedings of the 43rd annual European Conference on Information Retrieval Research}},
  pages        = {{384--395}},
  title        = {{{Overview of Touché 2021: Argument Retrieval}}},
  year         = {{2021}},
}

@article{28789,
  author       = {{Duan, R and Wang, X and Shan, S and Zhao, L and Xiong, J and Libuda, L and Cheng, G}},
  issn         = {{2296-861x}},
  journal      = {{Front Nutr}},
  pages        = {{747088}},
  title        = {{{The Chinese Adolescent Cohort Study: Design, Implementation, and Major Findings.}}},
  doi          = {{10.3389/fnut.2021.747088}},
  volume       = {{8}},
  year         = {{2021}},
}

@article{28879,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Purpose</jats:title>
              <jats:p>Studies about effects of lunch dietary Glycemic Index (GI) on cognition of schoolchildren are scarce. Our previous CogniDo GI study found no changes of cognition in the early postprandial phase after consumption of two rice types with medium vs. high dietary GI for lunch (i.e., 45 min after starting lunch). This study investigated whether the dietary GI of lunch has an impact on cognition of schoolchildren in the late postprandial phase, 90 min after lunch.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>A randomized, 2 × 2 crossover intervention study was conducted at a comprehensive school with 5th and 6th grade students. Participants (<jats:italic>n</jats:italic> = 212) were randomly assigned to either sequence 1 or 2. In the first period, participants of sequence 1 received a dish with high GI rice (GI: 79), those of sequence 2 with medium GI rice (GI: 64)—in the second period, 1 week later, vice versa. Computer-based cognitive testing was performed 90 min after lunch examining tonic alertness, visual search and task switching, and working memory. Treatment effects and treatment effects adjusted for estimated lunch glycemic load (GL) were analyzed using a linear mixed model.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>The selected cognitive parameters were not affected by the GI of lunch 90 min after lunch, neither after intention-to-treat nor in the per-protocol analysis. Adjustment for GL also did not change results.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Conclusion</jats:title>
              <jats:p>The present study revealed no notable differences after the consumption of two rice types with medium vs. high dietary GI for lunch in children’s cognitive function in the late postprandial phase, 90 min after lunch.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Clinical trial registration</jats:title>
              <jats:p>German Clinical Trials Register (DRKS00013597); date of registration: 16/04/2018, retrospectively registered.</jats:p>
            </jats:sec>}},
  author       = {{Drozdowska, Alina and Sinningen, Kathrin and Falkenstein, Michael and Rudolf, Henrik and Libuda, Lars and Buyken, Anette E. and Lücke, Thomas and Kersting, Mathilde}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  title        = {{{Impact of lunch with carbohydrates differing in glycemic index on children's cognitive functioning in the late postprandial phase: a randomized crossover study}}},
  doi          = {{10.1007/s00394-021-02766-y}},
  year         = {{2021}},
}

@inproceedings{28917,
  author       = {{Feldmann, Michael and Padalkin, Andreas and Scheideler, Christian and Dolev, Shlomi}},
  booktitle    = {{Stabilization, Safety, and Security of Distributed Systems - 23rd International Symposium, (SSS) 2021, Virtual Event, November 17-20, 2021, Proceedings}},
  editor       = {{Johnen, Colette and Michael Schiller, Elad and Schmid, Stefan}},
  pages        = {{484--488}},
  publisher    = {{Springer}},
  title        = {{{Coordinating Amoebots via Reconfigurable Circuits}}},
  doi          = {{10.1007/978-3-030-91081-5\_34}},
  volume       = {{13046}},
  year         = {{2021}},
}

@article{28989,
  author       = {{Bothe, Mike and Lutters, Nicole and Kenig, Eugeny}},
  journal      = {{Chemical Engineering Transactions}},
  title        = {{{Examination of hazardous situations in industrial closed-loop processes using dynamic simulations}}},
  doi          = {{10.3303/CET2188117}},
  year         = {{2021}},
}

@misc{28998,
  author       = {{Suermann, Dennis}},
  title        = {{{Schutz und Stabilisierung von Overlay-Netzwerken mithilfe des Relay-Layers}}},
  year         = {{2021}},
}

@inbook{29046,
  author       = {{Feldhans, Robert and Wilke, Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}},
  booktitle    = {{Intelligent Data Engineering and Automated Learning – IDEAL 2021}},
  isbn         = {{9783030916077}},
  issn         = {{0302-9743}},
  title        = {{{Drift Detection in Text Data with Document Embeddings}}},
  doi          = {{10.1007/978-3-030-91608-4_11}},
  year         = {{2021}},
}

@inproceedings{29047,
  author       = {{Wilke, Adrian and Bannoura, Arwa and Ngonga Ngomo, Axel-Cyrille Ngonga}},
  booktitle    = {{2021 IEEE 15th International Conference on Semantic Computing (ICSC)}},
  pages        = {{241--247}},
  title        = {{{Relicensing Combined Datasets}}},
  doi          = {{10.1109/ICSC50631.2021.00050}},
  year         = {{2021}},
}

@techreport{29057,
  author       = {{Eberbach, Jelena and Sureth-Sloane, Caren and Uhrig-Homburg, Marliese}},
  publisher    = {{Working Paper}},
  title        = {{{Option Implied Tax Rate Expectations}}},
  year         = {{2021}},
}

@inbook{29064,
  author       = {{Eickelmann, Birgit and Maaz, Kai}},
  booktitle    = {{Schule weiter denken}},
  editor       = {{Maaz, Kai and Becker-Mrotzek, Michael}},
  pages        = {{91--104}},
  publisher    = {{Duden-Verlag}},
  title        = {{{Blinde Flecken und die Hoffnung auf einen Innovationsschub. Schule in der digitalen Welt}}},
  year         = {{2021}},
}

@inbook{29067,
  author       = {{Gerick, Julia and Eickelmann, Birgit}},
  booktitle    = {{Handbuch Lernen mit digitalen Medien}},
  editor       = {{Brägger, Gerold and Rolff, Hans-Günter}},
  pages        = {{60--79}},
  publisher    = {{Beltz}},
  title        = {{{Schule und Lernen angesichts der Digitalisierung – Konzepte und Befunde}}},
  year         = {{2021}},
}

@article{29068,
  author       = {{Eickelmann, Birgit}},
  journal      = {{SchulVerwaltung NRW. Fachzeitschrift für Schulentwicklung und Schulmanagement}},
  number       = {{4}},
  pages        = {{106--108}},
  title        = {{{Chancengerechter Zugang zum Lernen in der digitalen Welt}}},
  volume       = {{32}},
  year         = {{2021}},
}

@article{29069,
  author       = {{Eickelmann, Birgit}},
  journal      = {{PlanBD #2. Fachmagazin für Schule in der digitalen Welt}},
  title        = {{{Re-Definition der digitalisierungsbezogenen Schulleitungsfunktionen in der Pandemie-Zeit und danach}}},
  year         = {{2021}},
}

@article{29070,
  author       = {{Gerick, Julia and Eickelmann, Birgit and Feldmann, Barbara and Rothärmel, Anne}},
  journal      = {{SchulVerwaltung NRW}},
  number       = {{6}},
  pages        = {{176--179}},
  title        = {{{GuTe DigiSchulen NRW. Zielsetzung und Konzeption des qualitativen Vertiefungsprojekts zur Studie ICILS 2018 NRW zu erfolgreichen digitalisierungsbezogenen Schulentwicklungsprozessen}}},
  volume       = {{32}},
  year         = {{2021}},
}

@article{29150,
  abstract     = {{Robotics applications process large amounts of data in real time and require compute platforms that provide high performance and energy efficiency. FPGAs are well suited for many of these applications, but there is a reluctance in the robotics community to use hardware acceleration due to increased design complexity and a lack of consistent programming models across the software/hardware boundary. In this article, we present ReconROS, a framework that integrates the widely used robot operating system (ROS) with ReconOS, which features multithreaded programming of hardware and software threads for reconfigurable computers. This unique combination gives ROS 2 developers the flexibility to transparently accelerate parts of their robotics applications in hardware. We elaborate on the architecture and the design flow for ReconROS and report on a set of experiments that underline the feasibility and flexibility of our approach.}},
  author       = {{Lienen, Christian and Platzner, Marco}},
  issn         = {{1936-7406}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  pages        = {{1--20}},
  title        = {{{Design of Distributed Reconfigurable Robotics Systems with ReconROS}}},
  doi          = {{10.1145/3494571}},
  year         = {{2021}},
}

@misc{29151,
  abstract     = {{Automation becomes a vital part in the High-Performance computing system in situational dynamics to take the decisions on the fly. Heterogeneous compute nodes consist of computing resources such as CPU, GPU and FPGA and are the important components of the high-performance computing system that can adapt the automation to achieve the given goal. While implanting automation in the computing resources, management of the resources is one of the essential aspects that need to be taken care of. Tasks are continuously executed on the resources using its unique characteristics. Effective scheduling is essential to make the best use of the characteristics provided by each resource. Scheduling enables the execution of each task by allocating resources so that they take advantage of all the characteristics of the compute resources. Various scheduling heuristics can be used to create effective scheduling, which might require the execution time to schedule the task efficiently. Providing actual execution time is not possible in many cases; hence we can provide the estimations for the actual execution time . The purpose of this master's thesis is to design a predictive model or system that estimates the execution time required to execute tasks using historical execution time data on the heterogeneous compute nodes. In this thesis, regression techniques(SGD Regressor, Passive-Aggressive Regressor, MLP Regressor, and XCSF Regressor) are compared in terms of their prediction accuracy in order to determine which technique produces reliable predictions for the execution time. These estimations must be generated in an online learning environment in which data points arrive in any sequence, one by one, and the regression model must learn from them. After evaluating the regression algorithms, it is seen that the XCSF regressor provides the highest overall prediction accuracy for the supplied data sets. The regression technique's parameters also play a significant role in achieving an acceptable prediction accuracy. As a remark, when using online learning in regression analysis, the accuracy depends upon both the order of sequential data points that are coming to train the model and the parameter configuration for each regression technique.}},
  author       = {{Kashikar, Chinmay}},
  publisher    = {{Paderborn University}},
  title        = {{{A Comparison of Machine Learning Techniques for the On-line Characterization of Tasks Executed on Heterogeneous Compute Nodes}}},
  year         = {{2021}},
}

@book{29153,
  editor       = {{Eke, Norbert Otto and Famula, Marta }},
  pages        = {{452 }},
  publisher    = {{Aisthesis  }},
  title        = {{{Ästhetik im Vormärz.}}},
  year         = {{2021}},
}

@article{29159,
  author       = {{Eke, Norbert}},
  journal      = {{Schatten aus den Felswänden. Eine Hommage an Norbert Scheuer und die Eifel. Hg. von Andreas Erb und Christof Hamann}},
  pages        = {{S. 216--227.}},
  publisher    = {{Wallstein Göttingen: }},
  title        = {{{Der ‚Grund‘ des Erzählens. Norbert Scheuers „Reigen aus unendlich vielen vergessenen Geschichten“. }}},
  year         = {{2021}},
}

@article{29160,
  author       = {{Eke, Norbert}},
  journal      = {{die horen. Zeitschrift für Literatur, Kunst und Kritik 66 (2021), Ausgabe 284: Furchtlos schreiben. Das Politische 1}},
  number       = {{284}},
  pages        = {{S. 99--104.}},
  title        = {{{Mit Schere und Kleber. Herta Müllers Inszenierungen von Text-Bild-Räumen}}},
  volume       = {{66}},
  year         = {{2021}},
}