@inproceedings{25332,
  author       = {{Merget, Robert and Brinkmann, Marcus and Aviram, Nimrod and Somorovsky, Juraj and Mittmann, Johannes and Schwenk, Jörg}},
  booktitle    = {{30th {USENIX} Security Symposium ({USENIX} Security 21)}},
  isbn         = {{978-1-939133-24-3}},
  pages        = {{213--230}},
  publisher    = {{{USENIX} Association}},
  title        = {{{Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E)}}},
  year         = {{2021}},
}

@inbook{25448,
  author       = {{Heggemann, Thomas and Sapli, Hüseyin and Homberg, W.}},
  booktitle    = {{Forming the Future}},
  issn         = {{2367-1181}},
  title        = {{{Experimental and Numerical Investigations into the Influence of the Process Parameters During the Deep Drawing of Fiber Metal Laminates}}},
  doi          = {{10.1007/978-3-030-75381-8_219}},
  year         = {{2021}},
}

@inproceedings{25518,
  author       = {{Stüker, Daniel and Schöppner, Volker}},
  location     = {{Montreal}},
  title        = {{{Simplified Numerical Calculation of the Isothermal, Three-Dimensional, Non-Newtonian Flow Characteristics of Single-Screw Melt-Extruders}}},
  year         = {{2021}},
}

@inproceedings{25519,
  author       = {{Stüker, Daniel and Schöppner, Volker}},
  location     = {{Montreal}},
  title        = {{{Non-Isothermal Calculation of the Pressure-Throughput-Characteristics of Single Screw Melt-Extruders}}},
  year         = {{2021}},
}

@proceedings{25521,
  editor       = {{Schulte, Carsten and A. Becker, Brett and Divitini, Monica and Barendsen, Erik}},
  isbn         = {{978-1-4503-8397-4}},
  publisher    = {{ACM}},
  title        = {{{ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports}}},
  doi          = {{10.1145/3456565}},
  year         = {{2021}},
}

@proceedings{25522,
  editor       = {{Schulte, Carsten and A. Becker, Brett and Divitini, Monica and Barendsen, Erik}},
  isbn         = {{978-1-4503-8214-4}},
  publisher    = {{ACM}},
  title        = {{{ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021}}},
  doi          = {{10.1145/3430665}},
  year         = {{2021}},
}

@inproceedings{25525,
  author       = {{Große-Bölting, Gregor and Gerstenberger, Dietrich Karl-Heinz and Gildehaus, Lara and Mühling, Andreas and Schulte, Carsten}},
  booktitle    = {{ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021}},
  editor       = {{J. Ko, Amy and Vahrenhold, Jan and McCauley, René and Hauswirth, Matthias}},
  pages        = {{169--183}},
  publisher    = {{ACM}},
  title        = {{{Identity in K-12 Computer Education Research: A Systematic Literature Review}}},
  doi          = {{10.1145/3446871.3469757}},
  year         = {{2021}},
}

@article{25527,
  author       = {{Schulte, Carsten and A. Becker, Brett}},
  journal      = {{ACM SIGCSE Bull.}},
  number       = {{3}},
  pages        = {{3--4}},
  title        = {{{ITiCSE 2021 recap}}},
  doi          = {{10.1145/3483403.3483405}},
  volume       = {{53}},
  year         = {{2021}},
}

@inproceedings{25576,
  author       = {{Moritzer, Elmar and Krassmann, Dimitri and Brikmann, Johannes}},
  title        = {{{Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting}}},
  year         = {{2021}},
}

@article{25577,
  author       = {{Moritzer, Elmar and Krassmann, Dimitri and Brikmann, Johannes}},
  journal      = {{Joining Plastics}},
  number       = {{3-4}},
  title        = {{{Fügen von thermoplastischen Composites mit Metallteilen durch Spritznieten}}},
  volume       = {{15}},
  year         = {{2021}},
}

@article{25605,
  abstract     = {{The nonlinear process of second harmonic generation (SHG) in monolayer (1L) transition metal dichalcogenides (TMD), like WS2, strongly depends on the polarization state of the excitation light. By combination of plasmonic nanostructures with 1L-WS2 by transferring it onto a plasmonic nanoantenna array, a hybrid metasurface is realized impacting the polarization dependency of its SHG. Here, we investigate how plasmonic dipole resonances affect the process of SHG in plasmonic–TMD hybrid metasurfaces by nonlinear spectroscopy. We show that the polarization dependency is affected by the lattice structure of plasmonic nanoantenna arrays as well as by the relative orientation between the 1L-WS2 and the individual plasmonic nanoantennas. In addition, such hybrid metasurfaces show SHG in polarization states, where SHG is usually forbidden for either 1L-WS2 or plasmonic nanoantennas. By comparing the SHG in these channels with the SHG generated by the hybrid metasurface components, we detect an enhancement of the SHG signal by a factor of more than 40. Meanwhile, an attenuation of the SHG signal in usually allowed polarization states is observed. Our study provides valuable insight into hybrid systems where symmetries strongly affect the SHG and enable tailored SHG in 1L-WS2 for future applications.}},
  author       = {{Spreyer, Florian and Ruppert, Claudia and Georgi, Philip and Zentgraf, Thomas}},
  issn         = {{1936-0851}},
  journal      = {{ACS Nano}},
  number       = {{10}},
  pages        = {{16719--16728}},
  title        = {{{Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces}}},
  doi          = {{10.1021/acsnano.1c06693}},
  volume       = {{15}},
  year         = {{2021}},
}

@inproceedings{20115,
  author       = {{Skitalinskaya, Gabriella and Klaff, Jonas and Wachsmuth, Henning}},
  booktitle    = {{Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics}},
  pages        = {{1718--1729}},
  title        = {{{Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale}}},
  year         = {{2021}},
}

@inproceedings{20125,
  abstract     = {{Datacenter applications have different resource requirements from network and developing flow scheduling heuristics for every workload is practically infeasible. In this paper, we show that deep reinforcement learning (RL) can be used to efficiently learn flow scheduling policies for different workloads without manual feature engineering. Specifically, we present LFS, which learns to optimize a high-level performance objective, e.g., maximize the number of flow admissions while meeting the deadlines. The LFS scheduler is trained through deep RL to learn a scheduling policy on continuous online flow arrivals. The evaluation results show that the trained LFS scheduler admits 1.05x more flows than the greedy flow scheduling heuristics under varying network load.}},
  author       = {{Hasnain, Asif and Karl, Holger}},
  booktitle    = {{2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)}},
  keywords     = {{Flow scheduling, Deadlines, Reinforcement learning}},
  location     = {{Las Vegas, USA}},
  publisher    = {{IEEE Computer Society}},
  title        = {{{Learning Flow Scheduling}}},
  doi          = {{https://doi.org/10.1109/CCNC49032.2021.9369514}},
  year         = {{2021}},
}

@inproceedings{20244,
  author       = {{Gottschalk, Sebastian and Kirchhoff, Jonas and Engels, Gregor}},
  booktitle    = {{Business Modeling and Software Design}},
  editor       = {{Shishkov, Boris}},
  location     = {{Sofia}},
  title        = {{{Extending Business Model Development Tools with Consolidated Expert Knowledge }}},
  doi          = {{10.1007/978-3-030-79976-2_1}},
  year         = {{2021}},
}

@article{27970,
  author       = {{Barclay, AW and LSA, Augustin and Brighenti, F and Delport, E and Henry, CJ and Sievenpiper, JL and Usic, K and Yuexin, Y and Zurbau, A and TMS, Wolever and Astrup, A and Bulló, M and Buyken, Anette and Ceriello, A and Ellis, PR and Vanginkel, MA and CWC, Kendall and La Vecchia, C and Livesey, G and Poli, A and Riccardi, G and Salas-Salvadó, J and Trichopoulou, A and Bhaskaran, K and DJA, Jenkins and Willett, WC and Brand-Miller, JC}},
  issn         = {{2072-6643}},
  journal      = {{Nutrients}},
  number       = {{9}},
  title        = {{{Dietary Glycaemic Index Labelling: A Global Perspective.}}},
  doi          = {{10.3390/nu13093244}},
  volume       = {{13}},
  year         = {{2021}},
}

@article{27995,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>Studien zum Übergang von der Grund- in die weiterführende Schule gibt es zu zahlreichen Themen. Wie Grundschulen den Übergang zur weiterführenden Schule gestalten, wurde bislang jedoch kaum erforscht. Auf Basis des Forschungsstands werden relevante Maßnahmen identifiziert. In einer online-Befragung an 106 Grundschulen in Nordrhein-Westfalen wurde erfasst, inwiefern diese Maßnahmen tatsächlich umgesetzt werden und als wie relevant bzw. schwierig ihre Umsetzung erachtet wird. Die Ergebnisse werden verglichen mit Daten einer Studie, die 2002 an 71 Grundschulen durchgeführt wurde. Es zeigt sich eine hohe Stabilität der Gestaltung in den letzten 15 Jahren. Maßnahmen, die auf stufenübergreifender Kooperation basieren, werden heute zwar häufiger praktiziert, stehen aber weiterhin am Ende der Rangreihe.</jats:p>}},
  author       = {{van Ophuysen, Stefanie and Schürer, Sina and Bloh, Bea}},
  issn         = {{1865-3553}},
  journal      = {{Zeitschrift für Grundschulforschung}},
  pages        = {{149--167}},
  title        = {{{Die Gestaltung des Übergangs zur Weiterführenden Schule – Welche Maßnahmen wurden und werden an Grundschulen in NRW praktiziert?}}},
  doi          = {{10.1007/s42278-020-00101-8}},
  year         = {{2021}},
}

@inproceedings{27997,
  author       = {{Homt, Martina and Bloh, Bea}},
  location     = {{Mainz}},
  title        = {{{Die Perspektive von Referendar*innen auf Forschendes Lernen}}},
  year         = {{2021}},
}

@article{28017,
  abstract     = {{Processing aluminum alloys employing powder bed fusion of metals (PBF-LB/M) is becoming more attractive for the industry, especially if lightweight applications are needed. Unfortunately, high-strength aluminum alloys such as AA7075 are prone to hot cracking during PBF-LB/M, as well as welding. Both a large solidification range promoted by the alloying elements zinc and copper and a high thermal gradient accompanied with the manufacturing process conditions lead to or favor hot cracking. In the present study, a simple method for modifying the powder surface with titanium carbide nanoparticles (NPs) as a nucleating agent is aimed. The effect on the microstructure with different amounts of the nucleating agent is shown. For the aluminum alloy 7075 with 2.5 ma% titanium carbide nanoparticles, manufactured via PBF-LB/M, crack-free samples with a refined microstructure having no discernible melt pool boundaries and columnar grains are observed. After using a two-step ageing heat treatment, ultimate tensile strengths up to 465 MPa and an 8.9% elongation at break are achieved. Furthermore, it is demonstrated that not all nanoparticles used remain in the melt pool during PBF-LB/M.}},
  author       = {{Heiland, Steffen and Milkereit, Benjamin and Hoyer, Kay-Peter and Zhuravlev, Evgeny and Keßler, Olaf and Schaper, Mirko}},
  journal      = {{Materials}},
  keywords     = {{grain refinement, crack reduction, laser beam melting, aluminum alloy, titanium carbide, nanoparticle, PBF-LB/M}},
  title        = {{{Requirements for Processing High-Strength AlZnMgCu Alloys with PBF-LB/M to Achieve Crack-Free and Dense Parts}}},
  doi          = {{https://doi.org/10.3390/ma14237190}},
  year         = {{2021}},
}

@article{28099,
  abstract     = {{N-body methods are one of the essential algorithmic building blocks of high-performance and parallel computing. Previous research has shown promising performance for implementing n-body simulations with pairwise force calculations on FPGAs. However, to avoid challenges with accumulation and memory access patterns, the presented designs calculate each pair of forces twice, along with both force sums of the involved particles. Also, they require large problem instances with hundreds of thousands of particles to reach their respective peak performance, limiting the applicability for strong scaling scenarios. This work addresses both issues by presenting a novel FPGA design that uses each calculated force twice and overlaps data transfers and computations in a way that allows to reach peak performance even for small problem instances, outperforming previous single precision results even in double precision, and scaling linearly over multiple interconnected FPGAs. For a comparison across architectures, we provide an equally optimized CPU reference, which for large problems actually achieves higher peak performance per device, however, given the strong scaling advantages of the FPGA design, in parallel setups with few thousand particles per device, the FPGA platform achieves highest performance and power efficiency.}},
  author       = {{Menzel, Johannes and Plessl, Christian and Kenter, Tobias}},
  issn         = {{1936-7406}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  number       = {{1}},
  pages        = {{1--30}},
  title        = {{{The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations}}},
  doi          = {{10.1145/3491235}},
  volume       = {{15}},
  year         = {{2021}},
}

@article{28104,
  author       = {{Wende, Marc and Fischer, Florian and Kenig, Eugeny}},
  isbn         = {{978-88-95608-86-0}},
  journal      = {{Chemical Engineering Transactions}},
  pages        = {{697--702}},
  publisher    = {{AIDIC}},
  title        = {{{Numerical and Experimental Investigation of Zero-Gravity  Distillation Units }}},
  doi          = {{10.3303/CET2188116}},
  volume       = {{88}},
  year         = {{2021}},
}