@article{61914,
  author       = {{Diekmann, Isabell}},
  isbn         = {{978-3-9820349-4-2}},
  journal      = {{Perspektiven. Soziale Arbeit in der Migrationsgesellschaft und muslimische Wohlfahrtspflege }},
  number       = {{1}},
  pages        = {{77 – 89}},
  publisher    = {{Universität Osnabrück}},
  title        = {{{Differenzierung von Islam- und Muslim*innenfeindlichkeit – Potenziale für die Praxis}}},
  volume       = {{2021}},
  year         = {{2021}},
}

@article{62805,
  abstract     = {{Single-entity electrochemistry allows for assessing electrocatalytic activities of individual material entities such as nanoparticles (NPs). Thus, it becomes possible to consider intrinsic electrochemical properties of nanocatalysts when researching how activity relates to physical and structural material properties. Conversely, conventional electrochemical techniques provide a normalized sum current referring to a huge ensemble of NPs constituting, along with additives (e.g., binders), a complete catalyst-coated electrode. Accordingly, recording electrocatalytic responses of single NPs avoids interferences of ensemble effects and reduces the complexity of electrocatalytic processes, thus enabling detailed description and modelling. Herein, we present insights into the oxygen evolution catalysis at individual cubic Co3O4 NPs impacting microelectrodes of different support materials. Simulating diffusion at supported nanocubes, measured step current signals can be analyzed, providing edge lengths, corresponding size distributions, and interference-free turnover frequencies. The provided nano-impact investigation of (electro-)catalyst-support effects contradicts assumptions on a low number of highly active sites.}},
  author       = {{Liu, Zhibin and Corva, Manuel and Amin, Hatem M. A. and Blanc, Niclas and Linnemann, Julia and Tschulik, Kristina}},
  issn         = {{1422-0067}},
  journal      = {{International Journal of Molecular Sciences}},
  keywords     = {{electrocatalysis, oxygen evolution reaction, cobalt spinel, single-entity electrochemistry}},
  number       = {{23}},
  publisher    = {{MDPI AG}},
  title        = {{{Single Co<sub>3</sub>O<sub>4</sub> Nanocubes Electrocatalyzing the Oxygen Evolution Reaction: Nano-Impact Insights into Intrinsic Activity and Support Effects}}},
  doi          = {{10.3390/ijms222313137}},
  volume       = {{22}},
  year         = {{2021}},
}

@techreport{62978,
  author       = {{Eickelmann, Birgit}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Schlussbericht zu ICILS 2018 (International Computer and Information Literacy Study) - Gewinnung empirischer Daten über die computer- und informationsbezogenen Kompetenzen und Kompetenzen im Bereich "Computational Thinking" von Schülerinnen und Schülern und die Rahmenbedingungen ihres Erwerbes im internationalen Vergleich}}},
  doi          = {{10.34657/26416}},
  year         = {{2021}},
}

@article{63313,
  author       = {{Ding, Mengyao and Winkler, Michael}},
  issn         = {{1021-9722}},
  journal      = {{Nonlinear Differential Equations and Applications NoDEA}},
  number       = {{5}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Small-density solutions in Keller–Segel systems involving rapidly decaying diffusivities}}},
  doi          = {{10.1007/s00030-021-00709-4}},
  volume       = {{28}},
  year         = {{2021}},
}

@inproceedings{22012,
  author       = {{Claes, Leander and Feldmann, Nadine and Jurgelucks, Benjamin and Schulze, Veronika and Schmidt, Stephan and Walther, Andrea and Henning, Bernd}},
  location     = {{Nürnberg}},
  pages        = {{237--238}},
  title        = {{{Optimised Multi-Electrode Topology for Piezoelectric Material Characterisation}}},
  doi          = {{10.5162/SMSI2021/A10.1}},
  year         = {{2021}},
}

@book{65145,
  abstract     = {{Musik ist für den Menschen nach dem Praktischen Theologen Harald Schroeter-Wittke Unterhaltung. Für den Systematiker Karl Barth ist sie zudem Speise und Trank, Trost und Mahnung. 52 Beitragende aus Theologie, Kulturwissenschaft, Medienwissenschaft und Pädagogik loten in diesem Band die ganze Breite von Musik aus. Sie stellen ihr ganz individuelles Musikempfinden und -erleben sowie ihre eigenen Reflexionen über Musik als musikalisches Lebensmittel vor. Die Bandbreite ihrer Rationen reicht von klassischer Musik und Kirchenliedern hin zu Jazz, Rock und Popmusik.

rezensiert:
Herrmann, Katharina: Der Geist klingt, wie er will, in: Praktische Theologie (4/2022), 247-250.
}},
  editor       = {{Keuchen, Marion and Janus, Richard}},
  isbn         = {{978-3-643-15025-7}},
  pages        = {{309}},
  publisher    = {{Lit}},
  title        = {{{Musik als Lebensmittel. Kulturwissenschaftlich-theologische Rationen für ein Jahr}}},
  volume       = {{8}},
  year         = {{2021}},
}

@article{37539,
  author       = {{Freitag, Christine}},
  journal      = {{Katechetische Blätter}},
  number       = {{4}},
  pages        = {{255--258}},
  publisher    = {{https://www.katbl.de}},
  title        = {{{Denk-Wege zu einer religionssensiblen Schulkultur: erziehungswissenschaftliche Perspektiven}}},
  year         = {{2021}},
}

@inbook{65520,
  author       = {{Dohmann, Olga and Drumm, Sandra and Niederhaus, Constanze}},
  booktitle    = {{Zur sprachlichen und gesellschaftlichen Integration neu zugewanderter Menschen. Eine Bilanz.}},
  editor       = {{Freudenberg-Findeisen, Renate  and Harsch, Claudia  and Middeke, Annegret }},
  isbn         = {{ 978-3-86395-473-4 }},
  pages        = {{273–294}},
  publisher    = {{Universitätsverlag}},
  title        = {{{Schreibberatung im Kontext beruflicher Bildung und ihre Auswirkung auf Emotionen beim Schreiben}}},
  year         = {{2021}},
}

@inproceedings{25341,
  author       = {{Bigerl, Alexander and Conrads, Felix and Behning, Charlotte and Ahmed Sherif, Mohamed and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {I}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{56--73}},
  publisher    = {{Springer}},
  title        = {{{Tentris - A Tensor-Based Triple Store}}},
  doi          = {{10.1007/978-3-030-62419-4\_4}},
  volume       = {{12506}},
  year         = {{2020}},
}

@inproceedings{25343,
  author       = {{Moussallem, Diego and Gnaneshwar, Dwaraknath and Castro Ferreira, Thiago and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {I}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{420--437}},
  publisher    = {{Springer}},
  title        = {{{NABU - Multilingual Graph-Based Neural RDF Verbalizer}}},
  doi          = {{10.1007/978-3-030-62419-4\_24}},
  volume       = {{12506}},
  year         = {{2020}},
}

@inproceedings{25344,
  author       = {{Zhang, Xinyue and Wang, Meng and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille and Qi, Guilin and Wang, Haofen}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {I}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{672--690}},
  publisher    = {{Springer}},
  title        = {{{Revealing Secrets in SPARQL Session Level}}},
  doi          = {{10.1007/978-3-030-62419-4\_38}},
  volume       = {{12506}},
  year         = {{2020}},
}

@proceedings{25347,
  editor       = {{Harth, Andreas and Kirrane, Sabrina and Ngonga Ngomo, Axel-Cyrille and Paulheim, Heiko and Rula, Anisa and Lisa Gentile, Anna and Haase, Peter and Cochez, Michael}},
  isbn         = {{978-3-030-49460-5}},
  publisher    = {{Springer}},
  title        = {{{The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings}}},
  doi          = {{10.1007/978-3-030-49461-2}},
  volume       = {{12123}},
  year         = {{2020}},
}

@inproceedings{19551,
  author       = {{Kurek, Rafael}},
  booktitle    = {{Information Security and Privacy - 25th Australasian Conference, {ACISP} 2020, Perth, WA, Australia, November 30 - December 2, 2020, Proceedings}},
  editor       = {{K. Liu, Joseph and Cui, Hui}},
  pages        = {{330--349}},
  publisher    = {{Springer}},
  title        = {{{Efficient Forward-Secure Threshold Public Key Encryption}}},
  doi          = {{10.1007/978-3-030-55304-3\_17}},
  volume       = {{12248}},
  year         = {{2020}},
}

@inproceedings{19553,
  author       = {{Kurek, Rafael}},
  booktitle    = {{Advances in Information and Computer Security - 15th International Workshop on Security, {IWSEC} 2020, Fukui, Japan, September 2-4, 2020, Proceedings}},
  editor       = {{Aoki, Kazumaro and Kanaoka, Akira}},
  pages        = {{239--260}},
  publisher    = {{Springer}},
  title        = {{{Efficient Forward-Secure Threshold Signatures}}},
  doi          = {{10.1007/978-3-030-58208-1\_14}},
  volume       = {{12231}},
  year         = {{2020}},
}

@inproceedings{19606,
  abstract     = {{Mobile shopping apps have been using Augmented Reality (AR) in the last years to place their products in the environment of the customer. While this is possible with atomic 3D objects, there is is still a lack in the runtime configuration of 3D object compositions based on user needs and environmental constraints. For this, we previously developed an approach for model-based AR-assisted product configuration based on the concept of Dynamic Software Product Lines. In this demonstration paper, we present the corresponding tool support ProConAR in the form of a Product Modeler and a Product Configurator. While the Product Modeler is an Angular web app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table legs, funnier) and saves it within a configuration model, the Product Configurator is an Android client that uses the configuration model to place different product configurations within the environment of the customer. We show technical details of our ready to use tool-chain ProConAR by describing its implementation and usage as well as pointing out future research directions.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}},
  booktitle    = {{Human-Centered Software Engineering. HCSE 2020}},
  editor       = {{Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}},
  keywords     = {{Product Configuration, Augmented Reality, Model-based, Tool Support}},
  location     = {{Eindhoven}},
  publisher    = {{Springer}},
  title        = {{{ProConAR: A Tool Support for Model-based AR Product Configuration}}},
  doi          = {{10.1007/978-3-030-64266-2_14}},
  volume       = {{12481}},
  year         = {{2020}},
}

@inproceedings{19607,
  abstract     = {{Modern services consist of modular, interconnected
components, e.g., microservices forming a service mesh. To
dynamically adjust to ever-changing service demands, service
components have to be instantiated on nodes across the network.
Incoming flows requesting a service then need to be routed
through the deployed instances while considering node and link
capacities. Ultimately, the goal is to maximize the successfully
served flows and Quality of Service (QoS) through online service
coordination. Current approaches for service coordination are
usually centralized, assuming up-to-date global knowledge and
making global decisions for all nodes in the network. Such global
knowledge and centralized decisions are not realistic in practical
large-scale networks.

To solve this problem, we propose two algorithms for fully
distributed service coordination. The proposed algorithms can be
executed individually at each node in parallel and require only
very limited global knowledge. We compare and evaluate both
algorithms with a state-of-the-art centralized approach in extensive
simulations on a large-scale, real-world network topology.
Our results indicate that the two algorithms can compete with
centralized approaches in terms of solution quality but require
less global knowledge and are magnitudes faster (more than
100x).}},
  author       = {{Schneider, Stefan Balthasar and Klenner, Lars Dietrich and Karl, Holger}},
  booktitle    = {{IEEE International Conference on Network and Service Management (CNSM)}},
  keywords     = {{distributed management, service coordination, network coordination, nfv, softwarization, orchestration}},
  publisher    = {{IEEE}},
  title        = {{{Every Node for Itself: Fully Distributed Service Coordination}}},
  year         = {{2020}},
}

@inproceedings{19609,
  abstract     = {{Modern services comprise interconnected components,
e.g., microservices in a service mesh, that can scale and
run on multiple nodes across the network on demand. To process
incoming traffic, service components have to be instantiated and
traffic assigned to these instances, taking capacities and changing
demands into account. This challenge is usually solved with
custom approaches designed by experts. While this typically
works well for the considered scenario, the models often rely
on unrealistic assumptions or on knowledge that is not available
in practice (e.g., a priori knowledge).

We propose a novel deep reinforcement learning approach that
learns how to best coordinate services and is geared towards
realistic assumptions. It interacts with the network and relies on
available, possibly delayed monitoring information. Rather than
defining a complex model or an algorithm how to achieve an
objective, our model-free approach adapts to various objectives
and traffic patterns. An agent is trained offline without expert
knowledge and then applied online with minimal overhead. Compared
to a state-of-the-art heuristic, it significantly improves flow
throughput and overall network utility on real-world network
topologies and traffic traces. It also learns to optimize different
objectives, generalizes to scenarios with unseen, stochastic traffic
patterns, and scales to large real-world networks.}},
  author       = {{Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}},
  booktitle    = {{IEEE International Conference on Network and Service Management (CNSM)}},
  keywords     = {{self-driving networks, self-learning, network coordination, service coordination, reinforcement learning, deep learning, nfv}},
  publisher    = {{IEEE}},
  title        = {{{Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}}},
  year         = {{2020}},
}

@inproceedings{19739,
  author       = {{Szopinski, Daniel}},
  booktitle    = {{Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology (DESRIST)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Active Business Model Development Tools: Design Requirements}}},
  year         = {{2020}},
}

@inproceedings{19741,
  author       = {{Szopinski, Daniel}},
  booktitle    = {{Proceedings of the 41st International Conference on Information Systems (ICIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Exploring design principles for stimuli in business model development tools}}},
  year         = {{2020}},
}

@phdthesis{19743,
  author       = {{Ditter, Jan}},
  isbn         = {{978-3-8440-7530-4}},
  title        = {{{Methodenentwicklung zum Entfügen von Stahl-Klebverbindungen bei tiefen Temperaturen}}},
  year         = {{2020}},
}