@article{29182, author = {{Chang, M. and Büchel, Daniel and Reinecke, K. and Lehmann, T. and Baumeister, Jochen}}, issn = {{0953-816X}}, journal = {{European Journal of Neuroscience}}, keywords = {{General Neuroscience}}, publisher = {{Wiley}}, title = {{{Ecological Validity in Exercise Neuroscience Research: A Systematic Investigation}}}, doi = {{10.1111/ejn.15595}}, year = {{2022}}, } @inproceedings{29220, abstract = {{Modern services often comprise several components, such as chained virtual network functions, microservices, or machine learning functions. Providing such services requires to decide how often to instantiate each component, where to place these instances in the network, how to chain them and route traffic through them. To overcome limitations of conventional, hardwired heuristics, deep reinforcement learning (DRL) approaches for self-learning network and service management have emerged recently. These model-free DRL approaches are more flexible but typically learn tabula rasa, i.e., disregard existing understanding of networks, services, and their coordination. Instead, we propose FutureCoord, a novel model-based AI approach that leverages existing understanding of networks and services for more efficient and effective coordination without time-intensive training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic model. This allows FutureCoord to estimate the impact of future incoming traffic and effectively optimize long-term effects, taking fluctuating demand and Quality of Service (QoS) requirements into account. Our extensive evaluation based on real-world network topologies, services, and traffic traces indicates that FutureCoord clearly outperforms state-of-the-art model-free and model-based approaches with up to 51% higher flow success ratios.}}, author = {{Werner, Stefan and Schneider, Stefan Balthasar and Karl, Holger}}, booktitle = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}}, keywords = {{network management, service management, AI, Monte Carlo Tree Search, model-based, QoS}}, location = {{Budapest}}, publisher = {{IEEE}}, title = {{{Use What You Know: Network and Service Coordination Beyond Certainty}}}, year = {{2022}}, } @article{29296, author = {{Schmolke, Tobias and Krüger, Christopher and Merdivan, David and Meschut, Gerson}}, journal = {{ATZ worldwide}}, number = {{1}}, pages = {{66--71}}, title = {{{Weight-optimized Battery Housings for Volume Vehicles}}}, doi = {{https://doi.org/10.1007/s38311-021-0766-7}}, volume = {{124}}, year = {{2022}}, } @inproceedings{29342, author = {{Sander, Sascha and Teutenberg, Dominik and Meschut, Gerson and Kötz, Fabian and Matzenmiller, Anton and Kasper, Yann and Ummenhofer, Thomas}}, booktitle = {{22. Kolloquium Gemeinsame Forschung in der Klebtechnik}}, location = {{Online Konferenz}}, title = {{{Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau }}}, year = {{2022}}, } @article{21571, abstract = {{The paper investigates the impact of individual attention on investor risk-taking. We analyze a large sample of trading records from a brokerage service that allows its customers to trade contracts-for-differences (CFD), and sends standardized push messages on recent stock performance to its client investors. The advantage of this sample is that it allows us to isolate the "push" messages as individual attention triggers, which we can directly link to the same individuals' risk-taking. A particular advantage of CFD trading is that it allows investors to make use of leverage, which provides us a pure measure of investors' willingness to take risks that is independent of the decision to purchase a particular stock. Leverage is a major catalyst of speculative trading, as it increases the scope of extreme returns, and enables investors to take larger positions than what they can afford with their own capital. We show that investors execute attention-driven trades with higher leverage, compared to their other trades, as well as those of other investors who are not alerted by attention triggers.}}, author = {{Arnold, Marc and Pelster, Matthias and Subrahmanyam, Marti G.}}, journal = {{Journal of Financial Economics}}, number = {{2}}, pages = {{ 846--875}}, title = {{{Attention triggers and investors' risk-taking}}}, doi = {{10.1016/j.jfineco.2021.05.031}}, volume = {{143}}, year = {{2022}}, } @inproceedings{29302, abstract = {{This paper introduces the project Scale4Edge. The project is focused on enabling an effective RISC-V ecosystem for optimization of edge applications. We describe the basic components of this ecosystem and introduce the envisioned demonstrators, which will be used in their evaluation.}}, author = {{Ecker, Wolfgang and Adelt, Peer and Müller, Wolfgang and Heckmann, Reinhold and Krstic, Milos and Herdt, Vladimir and Drechsler, Rolf and Angst, Gerhard and Wimmer, Ralf and Mauderer, Andreas and Stahl, Rafael and Emrich, Karsten and Mueller-Gritschneder, Daniel and Becker, Bernd and Scholl, Philipp and Jentzsch, Eyck and Schlamelcher, Jan and Grüttner, Kim and Bernardo, Paul Palomero and Brinkmann, Oliver and Damian, Mihaela and Oppermann, Julian and Koch, Andreas and Bormann, Jörg and Partzsch, Johannes and Mayr, Christian and Kunz, Wolfgang}}, booktitle = {{In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022)}}, title = {{{The Scale4Edge RISC-V Ecosystem}}}, year = {{2022}}, } @article{29295, author = {{Schmolke, Tobias and Krüger, Christopher and Merdivan, David and Meschut, Gerson}}, journal = {{ ATZ - Automobiltechnische Zeitschrift}}, number = {{1}}, pages = {{80--85}}, title = {{{Gewichtsoptimierte Batteriegehäuse für Volumenfahrzeuge}}}, doi = {{https://doi.org/10.1007/s35148-021-0785-0}}, volume = {{124}}, year = {{2022}}, } @inbook{29355, author = {{Mildorf, Jarmila}}, booktitle = {{Erzählte Welt: Sinnstiftung in Zeiten kultureller und politischer Umbrüche}}, editor = {{Schachtner, Christina and Drews, Albert}}, pages = {{167--194}}, publisher = {{Evangelische Akademie Loccum}}, title = {{{Durch Andere sich selbst erzählen: Figuren der Selbststilisierung in autobiographischen Schriften von Alan Bennett und Candia McWilliam}}}, volume = {{9}}, year = {{2022}}, } @article{23415, author = {{Sperling, Martina and Schryen, Guido}}, journal = {{European Journal of Operational Research (EJOR)}}, number = {{2}}, pages = {{690 -- 705}}, title = {{{Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers}}}, volume = {{299}}, year = {{2022}}, } @article{27776, author = {{Koldewey, Christian and Rasor, Anja and Reinhold, Jannik and Gausemeier, Jürgen and Dumitrescu, Roman and Chohan, Nadia and Frank, Maximilian}}, issn = {{0040-1625}}, journal = {{Technological Forecasting and Social Change}}, publisher = {{Elsevier}}, title = {{{Aligning strategic position, behavior, and structure for smart service businesses in manufacturing}}}, doi = {{10.1016/j.techfore.2021.121329}}, year = {{2022}}, }