TY - CHAP AU - Tönsing, Johanna ED - Bernhardt, Sebastian ED - Hardtke, Thomas ID - 32417 T2 - Interpretationsverfahruen der germanistischen Literaturdidaktik und didaktische Referenzkonzepte TI - (K)eine kinderleichte Gattung: Konsequenzen einer kulturwissenschaftlich informierten Märchendidaktik ER - TY - THES AU - Lass, Michael ID - 32414 TI - Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations ER - TY - CHAP AU - Tönsing, Johanna ED - Schulte-Eickholt, Swen ED - Hofmann, Michael ID - 32418 T2 - Sammelband über den deutsch-türkischen Film TI - Über „Gleis 11“ [Dokumentarfilm von 2021] ER - TY - CHAP AU - Tönsing, Johanna ED - Hofmann, Michael ID - 32423 T2 - Neue Perspektiven einer kulturwissenschaftlichen Literaturdidaktik TI - Weiblichkeitsdiskurse in der Gegenwartsliteratur und deren Thematisierung im genderorientierten Unterricht ER - TY - CONF AB - Static analysis tools support developers in detecting potential coding issues, such as bugs or vulnerabilities. Research on static analysis emphasizes its technical challenges but also mentions severe usability shortcomings. These shortcomings hinder the adoption of static analysis tools, and in some cases, user dissatisfaction even leads to tool abandonment. To comprehensively assess the current state of the art, this paper presents the first systematic usability evaluation in a wide range of static analysis tools. We derived a set of 36 relevant criteria from the scientific literature and gathered a collection of 46 static analysis tools complying with our inclusion and exclusion criteria - a representative set of mainly non-proprietary tools. Then, we evaluated how well these tools fulfill the aforementioned criteria. The evaluation shows that more than half of the considered tools offer poor warning messages, while about three-quarters of the tools provide hardly any fix support. Furthermore, the integration of user knowledge is strongly neglected, which could be used for improved handling of false positives and tuning the results for the corresponding developer. Finally, issues regarding workflow integration and specialized user interfaces are proved further. These findings should prove useful in guiding and focusing further research and development in the area of user experience for static code analyses. AU - Nachtigall, Marcus AU - Schlichtig, Michael AU - Bodden, Eric ID - 32410 KW - Automated static analysis KW - Software usability SN - 9781450393799 T2 - Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis TI - A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools ER - TY - CONF AB - Application Programming Interfaces (APIs) are the primary mechanism that developers use to obtain access to third-party algorithms and services. Unfortunately, APIs can be misused, which can have catastrophic consequences, especially if the APIs provide security-critical functionalities like cryptography. Understanding what API misuses are, and for what reasons they are caused, is important to prevent them, e.g., with API misuse detectors. However, definitions and nominations for API misuses and related terms in literature vary and are diverse. This paper addresses the problem of scattered knowledge and definitions of API misuses by presenting a systematic literature review on the subject and introducing FUM, a novel Framework for API Usage constraint and Misuse classification. The literature review revealed that API misuses are violations of API usage constraints. To capture this, we provide unified definitions and use them to derive FUM. To assess the extent to which FUM aids in determining and guiding the improvement of an API misuses detectors' capabilities, we performed a case study on CogniCrypt, a state-of-the-art misuse detector for cryptographic APIs. The study showed that FUM can be used to properly assess CogniCrypt's capabilities, identify weaknesses and assist in deriving mitigations and improvements. And it appears that also more generally FUM can aid the development and improvement of misuse detection tools. AU - Schlichtig, Michael AU - Sassalla, Steffen AU - Narasimhan, Krishna AU - Bodden, Eric ID - 31133 KW - API misuses KW - API usage constraints KW - classification framework KW - API misuse detection KW - static analysis T2 - 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) TI - FUM - A Framework for API Usage constraint and Misuse Classification ER - TY - GEN AU - Vahle, Ella ID - 32399 TI - Modelling and Proving Security for a Secure MPC Protocol for Stable Matching ER - TY - GEN AU - Hetkämper, Tim ID - 6561 TI - Visualisierung von Ultraschallfeldern mittels Schlierentechnik und fraktionaler Fouriertransformation ER - TY - GEN AU - Claes, Leander ID - 6592 TI - Messverfahren für die akustische Absorption zur Bestimmung der Volumenviskosität ER - TY - GEN AU - Mügge, Nils AU - Kronberg, Alexander AU - Glushenkov, Maxim AU - Kenig, Eugeny ID - 32446 T2 - Annual Meeting on Reaction Engineering and ProcessNet Subject Division Heat and Mass Transfer TI - Heat regeneration model for external heat engines operating with dense working fluids ER - TY - CONF AB - The famous $k$-Server Problem covers plenty of resource allocation scenarios, and several variations have been studied extensively for decades. However, to the best of our knowledge, no research has considered the problem if the servers are not identical and requests can express which specific servers should serve them. Therefore, we present a new model generalizing the $k$-Server Problem by *preferences* of the requests and proceed to study it in a uniform metric space for deterministic online algorithms (the special case of paging). In our model, requests can either demand to be answered by any server (*general requests*) or by a specific one (*specific requests*). If only general requests appear, the instance is one of the original $k$-Server Problem, and a lower bound for the competitive ratio of $k$ applies. If only specific requests appear, a solution with a competitive ratio of $1$ becomes trivial since there is no freedom regarding the servers' movements. Perhaps counter-intuitively, we show that if both kinds of requests appear, the lower bound raises to $2k-1$. We study deterministic online algorithms in uniform metrics and present two algorithms. The first one has an adaptive competitive ratio dependent on the frequency of specific requests. It achieves a worst-case competitive ratio of $3k-2$ while it is optimal when only general or only specific requests appear (competitive ratio of $k$ and $1$, respectively). The second has a fixed close-to-optimal worst-case competitive ratio of $2k+14$. For the first algorithm, we show a lower bound of $3k-2$, while the second algorithm has a lower bound of $2k-1$ when only general requests appear. The two algorithms differ in only one behavioral rule for each server that significantly influences the competitive ratio. Each server acting according to the rule allows approaching the worst-case lower bound, while it implies an increased lower bound for $k$-Server instances. In other words, there is a trade-off between performing well against instances of the $k$-Server Problem and instances containing specific requests. We also show that no deterministic online algorithm can be optimal for both kinds of instances simultaneously. AU - Castenow, Jannik AU - Feldkord, Björn AU - Knollmann, Till AU - Malatyali, Manuel AU - Meyer auf der Heide, Friedhelm ID - 31847 KW - K-Server Problem KW - Heterogeneity KW - Online Caching SN - 9781450391467 T2 - Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures TI - The k-Server with Preferences Problem ER - TY - CHAP AU - Mindt, Ilka ED - Mah, Dana-Kristin ED - Cordula, Torner ID - 32473 T2 - Künstliche Intelligenz mit offenen Lernangeboten an Hochschulen lehren. Erfahrungen und Erkenntnisse aus dem Fellowship-Programm des KI-Campus. TI - Künstliche Intelligenz fachfremd mittels Open Educational Resources unterrichten. Wie das Flipped-Classroom-Format bei der Einbettung in die Lehre der Anglistik hilft. ER - TY - CONF AU - Mayer, Peter AU - Poddebniak, Damian AU - Fischer, Konstantin AU - Brinkmann, Marcus AU - Somorovsky, Juraj AU - Sasse, Angela AU - Schinzel, Sebastian AU - Volkamer, Melanie ID - 32572 SN - 978-1-939133-30-4 T2 - Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022) TI - "I don' know why I check this..." - Investigating Expert Users' Strategies to Detect Email Signature Spoofing Attacks ER - TY - GEN AB - BloKK-Beitrag für das ZeKK, 04.02.2022 AU - Lebock, Sarah ID - 30194 TI - Blogpost "Nahtoderfahrungen und ihre Deutungen" ER - TY - JOUR AU - Yang, Yu AU - Huang, Jingyuan AU - Dornbusch, Daniel AU - Grundmeier, Guido AU - Fahmy, Karim AU - Keller, Adrian AU - Cheung, David L. ID - 32432 JF - Langmuir KW - Electrochemistry KW - Spectroscopy KW - Surfaces and Interfaces KW - Condensed Matter Physics KW - General Materials Science SN - 0743-7463 TI - Effect of Surface Hydrophobicity on the Adsorption of a Pilus-Derived Adhesin-like Peptide VL - 38 ER - TY - JOUR AB - Guanidinium (Gdm) undergoes interactions with both hydrophilic and hydrophobic groups and, thus, is a highly potent denaturant of biomolecular structure. However, our molecular understanding of the interaction of Gdm with proteins and DNA is still rather limited. Here, we investigated the denaturation of DNA origami nanostructures by three Gdm salts, i.e., guanidinium chloride (GdmCl), guanidinium sulfate (Gdm2SO4), and guanidinium thiocyanate (GdmSCN), at different temperatures and in dependence of incubation time. Using DNA origami nanostructures as sensors that translate small molecular transitions into nanostructural changes, the denaturing effects of the Gdm salts were directly visualized by atomic force microscopy. GdmSCN was the most potent DNA denaturant, which caused complete DNA origami denaturation at 50 °C already at a concentration of 2 M. Under such harsh conditions, denaturation occurred within the first 15 min of Gdm exposure, whereas much slower kinetics were observed for the more weakly denaturing salt Gdm2SO4 at 25 °C. Lastly, we observed a novel non-monotonous temperature dependence of DNA origami denaturation in Gdm2SO4 with the fraction of intact nanostructures having an intermediate minimum at about 40 °C. Our results, thus, provide further insights into the highly complex Gdm–DNA interaction and underscore the importance of the counteranion species. AU - Hanke, Marcel AU - Hansen, Niklas AU - Tomm, Emilia AU - Grundmeier, Guido AU - Keller, Adrian ID - 32589 IS - 15 JF - International Journal of Molecular Sciences KW - Inorganic Chemistry KW - Organic Chemistry KW - Physical and Theoretical Chemistry KW - Computer Science Applications KW - Spectroscopy KW - Molecular Biology KW - General Medicine KW - Catalysis SN - 1422-0067 TI - Time-Dependent DNA Origami Denaturation by Guanidinium Chloride, Guanidinium Sulfate, and Guanidinium Thiocyanate VL - 23 ER - TY - JOUR AB - Background: Medical professionals working in an elite sport environment have the challenging task to balance the athlete’s readiness to return to the playing field after severe injury with other stakeholders’ (coaches, sponsors, teammates) opinions and objectives.Objectives: Our study aimed to evaluate differences in the physical profiles of elite rugby players at return to play (RTP) after a severe knee injury, compared with their pre-injury profiles and matched controls.Method: Before the injury, participants performed four performance tests during their preseason screening. These tests were repeated and compared to baseline once a player was declared fit to play.Results: Significant differences (p ≤ 0.05) were found in the injured players’ group who were slower over 10 m speed, in their decision-making time and the total time of the reactive agility tests at RTP, whilst controls were significantly faster over 10 m and 30 m speed tests. The countermovement jump outcomes showed significant improvement in the uninjured participants (p ≤ 0.05).Conclusion: Our study highlights that injured players’ running speeds and decision-making times are slower after injury. The uninjured players have a positive outcome to training and match stimulus by improving their running speed and lower body explosive power during the season.Clinical implications: Our study provides insight into the RTP profile of elite rugby players, and a novel finding was the decision-making time deficit. This highlights the importance of cognitive training during injury rehabilitation as athletes make numerous decisions in a pressured and uncontrolled environment during a match. Speed training development is recommended as the athletes were slower after severe knee injury. AU - Robyn, Aneurin D. AU - Louw, Quinette A. AU - Baumeister, Jochen ID - 34022 IS - 1 JF - South African Journal of Physiotherapy KW - Physical Therapy KW - Sports Therapy and Rehabilitation SN - 2410-8219 TI - Return to play in elite rugby players after severe knee injuries VL - 78 ER - TY - CHAP AB - Decision makers increasingly rely on decision support systems for optimal decision making. Recently, special attention has been paid to process-driven decision support systems (PD-DSS) in which a process model prescribes the invocation sequence of software-based decision support services and the data exchange between them. Thus, it is possible to quickly combine available decision support services as needed for optimally supporting the decision making process of an individual decision maker. However, process modelers may accidentally create a process model which is technically well-formed and executable, but contains functional and behavioral flaws such as redundant or missing services. These flaws may result in inefficient computations or invalid decision recommendations when the corresponding PD-DSS is utilized by a decision maker. In this paper, we therefore propose an approach to validate functionality and behavior of a process model representing a PD-DSS. Our approach is based on expressing flaws as anti-patterns for which the process model can be automatically checked via graph matching. We prototypically implemented our approach and demonstrate its applicability in the context of decision making for energy network planning. AU - Kirchhoff, Jonas AU - Engels, Gregor ID - 34023 SN - 1865-1348 T2 - Software Business TI - Anti-pattern Detection in Process-Driven Decision Support Systems VL - 463 ER - TY - JOUR AU - Robyn, A.D. AU - Louw, Q.A. AU - Baumeister, Jochen ID - 34021 IS - 3 JF - African Journal for Physical Activity and Health Sciences (AJPHES) KW - General Medicine SN - 2411-6939 TI - Psychological readiness of elite rugby players at return to play after severe knee injury VL - 28 ER - TY - GEN AU - Haase, Michael AU - Tasche, Frederik AU - Bieber, Maximilian AU - Zibart, Alexander ID - 34020 TI - Innovative Leichtbau- und Kühlungskonzepte für elektrische Maschinen durch additive Fertigung (ILuKadd3D) VL - Heft 1526 ER - TY - GEN AB - Controversial topics like abortion or capital punishment inherently lack of correct answers or the right way to deal with. Thus, in order to find what is true, what is good, or what should be done, the involved parties need to debate. For the purpose of forming an opinion on a controversial topic someone needs to take in a lot of arguments on that topic to gather information which can be a time-consuming process. To increase efficiency, someone can use an argument search engine to quicken the retrieval of relevant arguments. Although the usage of such a service reduces the time to find arguments, there is still a lot of textual data that needs to be read. To this end, computational summarization approaches for arguments can limit the necessary time for information review by generating short snippets capturing the main gist of each argument. Yet, we suggest that approaches that consider one argument at a time show potential for further improvement in terms of efficiency during information review. In fact, arguments on the same topic, like those retrieved by a search engine for a certain query, partially cover the same content, e. g. arguments regarding the death penalty probably use deterrence as a point in favor of it. However, if the same aspect is central in multiple arguments, their snippets reflect this, which leads to redundancy among the snippets. Consequently, someone interested in gathering information on a controversial topic does not necessarily find new information in each snippet he or she reads. We introduce the task of Contrastive Argument Summarization (CAS) which addresses the aforementioned problem regarding existing argument summarization. An approach that addresses CAS aims to produce contrastive snippets for each argument in a set of topic-related arguments. A contrastive snippet should represent the main gist of its argument, it should account for the argumentative nature of the text, and it should be dissimilar to the other topic-related arguments in order to reduce redundancy among the snippets. We propose two approaches addressing CAS, namely an extended version of the LexRank derivation by Alshomary et al. (2020), and an advancement of the work by Bista et al. (2020). Additionally, we develop two automatic measures to assess to which extent the snippets of one set are opposed. For evaluation, we compile a corpus using the args.me search engine Wachsmuth et al. (2017b) to come close to the suggested area of application. Moreover, we conduct a manual annotation study to assess approaches’ effectiveness. We find that the graph-based approach is superior when it comes to contrastiveness (i. e. snippets being dissimilar to topic-related arguments), and that the second approach outperforms the previous one and the unmodified version of Alshomary et al. (2020) when it comes to representativeness (i. e. snippets capturing the main gist of an argument). AU - Rieskamp, Jonas ID - 34025 TI - Contrastive Argument Summarization Using Supervised and Unsupervised Machine Learning ER - TY - CONF AB - Consider the practical goal of making a desired action profile played, when the planner can only change the payoffs, bound by stringent constraints. Applications include motivating people to choose the closest school, the closest subway station, or to coordinate on a communication protocol or an investment strategy. Employing subsidies and tolls, we adjust the game so that choosing this predefined action profile becomes strictly dominant. Inspired mainly by the work of Monderer and Tennenholtz, where the promised subsidies do not materialise in the not played profiles, we provide a fair and individually rational game adjustment, such that the total outside investments sum up to zero at any profile, thereby facilitating easy and frequent usage of our adjustment without bearing costs, even if some players behave unexpectedly. The resultant action profile itself needs no adjustment. Importantly, we also prove that our adjustment minimises the general transfer among all such adjustments, counting the total subsidising and taxation. AU - Polevoy, Gleb AU - Dziubiński, Marcin ED - De Raedt, Luc ID - 34040 KW - adjustment KW - strictly dominant KW - fairness KW - individually rational KW - transfer KW - tax KW - subsidy T2 - Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence TI - Fair, Individually Rational and Cheap Adjustment ER - TY - JOUR AB - Zusammenfassung: Der Beitrag befasst sich mit der professionellen pädagogischen Beziehung zwischen Referendar*innen und ihren Seminarlehrkräften, deren Beitrag für die Beanspruchung der Referendar*innen bisher noch nicht eingängig untersucht wurde. Das Ziel der Studie ist es, anhand einer Querschnittserhebung von 2583 Referendar*innen und ausgebildeten Lehrkräften, kompensatorische sowie verstärkende Effekte der Beziehungsdimensionen Transparenz, Fairness, Vertrauen und Ambivalenz auf die wahrgenommene Beanspruchung im Referendariat zu untersuchen. Die Analyse erfolgt mittels eines latent moderierten Strukturgleichungsansatzes. Die Ergebnisse zeigen, dass Belastungen durch die Kerntätigkeiten im Referendariat sowie Belastungen durch den Umgang mit Kolleg*innen im Lehrer*innenkollegium in signifikant positivem Zusammenhang mit resultierenden Beanspruchungsreaktionen stehen. Je transparenter, fairer und vertrauensvoller und je weniger ambivalent die Beziehung zur Seminarlehrkraft erlebt wird, desto geringer fallen die Beanspruchungsreaktionen aus. Die Ergebnisse werden hinsichtlich ihrer Relevanz für die Beziehungsarbeit im Referendariat als zentralem Ausbildungsbestandteil der zweiten Phase der Lehrer*innenausbildung diskutiert. AU - Kärner, Tobias AU - Goller, Michael AU - Bonnes, Caroline AU - Maué, Elisabeth ID - 30105 JF - Zeitschrift für Erziehungswissenschaft KW - Education SN - 1434-663X TI - Die professionelle pädagogische Beziehung zwischen Referendar*innen und ihren Seminarlehrkräften: Belastungsfaktor oder Ressource? VL - 25 ER - TY - CONF AU - Epstein, Leah AU - Lassota, Alexandra AU - Levin, Asaf AU - Maack, Marten AU - Rohwedder, Lars ED - Berenbrink, Petra ED - Monmege, Benjamin ID - 33085 T2 - 39th International Symposium on Theoretical Aspects of Computer Science, STACS 2022, March 15-18, 2022, Marseille, France (Virtual Conference) TI - Cardinality Constrained Scheduling in Online Models VL - 219 ER - TY - JOUR AU - Hoffmann, Christin AU - Thommes, Kirsten ID - 34044 JF - Journal of Cleaner Production KW - Industrial and Manufacturing Engineering KW - Strategy and Management KW - General Environmental Science KW - Renewable Energy KW - Sustainability and the Environment KW - Building and Construction SN - 0959-6526 TI - Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic ER - TY - JOUR AU - Hoffmann, Christin AU - Thommes, Kirsten ID - 34045 JF - Journal of Cleaner Production KW - Industrial and Manufacturing Engineering KW - Strategy and Management KW - General Environmental Science KW - Renewable Energy KW - Sustainability and the Environment KW - Building and Construction SN - 0959-6526 TI - Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic ER - TY - CONF AU - Alshomary, Milad AU - El Baff, Roxanne AU - Gurcke, Timon AU - Wachsmuth, Henning ID - 30840 T2 - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics TI - The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments ER - TY - CONF AU - Wachsmuth, Henning AU - Alshomary, Milad ID - 33004 T2 - Proceedings of the 29th International Conference on Computational Linguistics TI - "Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue Corpus for Learning How to Explain ER - TY - JOUR AU - Lauscher, Anne AU - Wachsmuth, Henning AU - Gurevych, Iryna AU - Glavaš, Goran ID - 34049 JF - Transactions of the Association for Computational Linguistics TI - On the Role of Knowledge in Computational Argumentation ER - TY - CONF AU - Kiesel, Johannes AU - Alshomary, Milad AU - Handke, Nicolas AU - Cai, Xiaoni AU - Wachsmuth, Henning AU - Stein, Benno ID - 22157 T2 - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics TI - Identifying the Human Values behind Arguments ER - TY - CONF AU - Pasic, Faruk AU - Becker, Matthias ID - 34057 T2 - 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) TI - Domain-specific Language for Condition Monitoring Software Development ER - TY - CHAP AU - Somogyi, Peter ED - Federow, Anne-Katrin ED - Malcher, Kay ID - 34027 T2 - Troja bauen TI - "Swer siner kunst meister ist, der hat gewalt an siner list". Herborts von Fritzlar Liet von Troye als Fortsetzungstext des Eneasromans Heinrichs von Veldeke am Schnittpunkt von Aneignung und Neukonstitution ER - TY - CONF AB - News articles both shape and reflect public opinion across the political spectrum. Analyzing them for social bias can thus provide valuable insights, such as prevailing stereotypes in society and the media, which are often adopted by NLP models trained on respective data. Recent work has relied on word embedding bias measures, such as WEAT. However, several representation issues of embeddings can harm the measures' accuracy, including low-resource settings and token frequency differences. In this work, we study what kind of embedding algorithm serves best to accurately measure types of social bias known to exist in US online news articles. To cover the whole spectrum of political bias in the US, we collect 500k articles and review psychology literature with respect to expected social bias. We then quantify social bias using WEAT along with embedding algorithms that account for the aforementioned issues. We compare how models trained with the algorithms on news articles represent the expected social bias. Our results suggest that the standard way to quantify bias does not align well with knowledge from psychology. While the proposed algorithms reduce the~gap, they still do not fully match the literature. AU - Spliethöver, Maximilian AU - Keiff, Maximilian AU - Wachsmuth, Henning ID - 34047 T2 - Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) TI - No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media ER - TY - CHAP AU - Musiol, Marie-Luise AU - Winst, Silke ED - Lamsechi, Guita ED - Trînca, Beatrice ID - 34017 T2 - Spiritual Vegetation: Vegetal Nature in Religious Contexts Across Medieval and Early Modern Europe (Berliner Mittelalter- und Frühneuzeitforschung, Vol. 26) TI - Pfirsichbaum und dunkler Wald. Pflanzliche Konfigurationen zwischen Dynamisierung und Innehalten in 'Partonopier und Meliur' Konrads von Würzburg ER - TY - GEN AU - Musiol, Marie-Luise ID - 34019 T2 - Sexuologie TI - Bennewitz, Ingrid/Eming, Jutta/Traulsen, Johannes: Gender Studies – Queer Studies – Intersektionalität. Eine Zwischenbilanz aus mediävistischer Perspektive (Berliner Mittelalter- und Frühneuzeitforschung 25), Göttingen 2019 ER - TY - CHAP AU - Musiol, Marie-Luise ED - Egidi, Margreth ED - Peters, Ludmilla ED - Schmidt, Jochen ID - 34018 T2 - Unverfügbar. Kulturen des Heiligen TI - Menschlicher Körper, heiliger Körper. Zur Kreuzigung Christi im Donaueschinger Passionsspiel ER - TY - JOUR AB - This study investigates the conditions under which tax rate changes accelerate risky investments. While tax rate increases are often expected to harm investment, analytical studies find tax rate increases may foster investment under flexibility.We design a theorybased experimentwith a binomial random walk and entry–exit flexibility.We find accelerated investment upon tax rate increases irrespective of an exit option, but no corresponding response to tax cuts. This asymmetry may be due to tax salience and mechanisms from irreversible choice under uncertainty. Given this evidence of unexpected tax-reform effects, tax policymakers should carefully consider behavioral aspects. AU - Fahr, René AU - Janssen, Elmar A. AU - Sureth-Sloane, Caren ID - 29049 IS - 1-2 JF - FinanzArchiv / Public Finance Analysis KW - Economic ExperimentM KW - Investment Decisions KW - Tax Effects KW - Timing Flexibility KW - Uncertainty TI - Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment VL - 78 ER - TY - JOUR AB - We study the bargaining behavior between auditor and auditee in a tax setting and scrutinize the effect of interpersonal trust and trust in government on both parties’ concessions. We find evidence that both kinds of trust affect the concessionary behavior, albeit in different ways. While trust in government affects concessionary behavior in line with intuitive predictions, we find that interpersonal trust only affects tax auditors. For high interpersonal trust, the alleviating effect of high trust in government on tax auditors’ concessions is less pronounced. Our findings help tax authorities to shape programs to enhance compliance in an atmosphere of trust. AU - Eberhartinger, Eva AU - Speitmann, Raffael AU - Sureth-Sloane, Caren AU - Wu, Yuchen ID - 29048 IS - 1-2 JF - FinanzArchiv / Public Finance Analysis KW - Behavioral Taxation KW - Concessionary Behavior KW - Interpersonal Trust KW - Tax Audit KW - Trust in Government TI - How Does Trust Affect Concessionary Behavior in Tax Bargaining? VL - 78 ER - TY - CONF AU - Hetkämper, Tim AU - Claes, Leander AU - Henning, Bernd ID - 31331 SN - 978-3-8007-5835-7 T2 - Sensoren und Messsysteme - Beiträge der 21. ITG/GMA-Fachtagung TI - Schlieren imaging with fractional Fourier transform to visualise ultrasonic fields ER - TY - CONF AU - Sengupta, Meghdut AU - Alshomary, Milad AU - Wachsmuth, Henning ID - 34067 T2 - Proceedings of the 2022 Workshop on Figurative Language Processing TI - Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning ER - TY - CHAP AU - Bondarenko, Alexander AU - Fröbe, Maik AU - Kiesel, Johannes AU - Syed, Shahbaz AU - Gurcke, Timon AU - Beloucif, Meriem AU - Panchenko, Alexander AU - Biemann, Chris AU - Stein, Benno AU - Wachsmuth, Henning AU - Potthast, Martin AU - Hagen, Matthias ID - 34077 SN - 0302-9743 T2 - Lecture Notes in Computer Science TI - Overview of Touché 2022: Argument Retrieval ER - TY - CHAP AB - Der Beitrag widmet sich dem Einsatz von Augmented Reality (AR) in betrieblichen Aus- und Weiterbildungskontexten. Hierbei stehen insbesondere Fragen zu Berufsfeldern und Ausbildungsinhalten, zu verwendeten AR-Spezifikationen, zu Zusammenhängen zwischen AR-Anwendung und leistungs-, wahrnehmungs- und motivationsbezogenen Variablen sowie zur didaktischen Einbettung entsprechender Technologien im Fokus. Auf Basis einer integrierenden Sichtung bestehender Literatur konnten insgesamt 16 Studien sowie zwei bereits vorliegende Literaturreviews in die Analyse eingeschlossen werden. Die Ergebnisse verweisen u. a. auf eine heterogene Lage hinsichtlich forschungsmethodischer Zugänge und didaktischer Referenzkonzepte. Weitgehend förderliche Effekte auf leistungs-, wahrnehmungs- und motivationsbezogene Variablen stimmen insgesamt bezüglich des AR-Einsatzes positiv, machen aber auch die Notwendigkeit einer integrierten Betrachtung technologischer und pädagogisch-instruktionaler Gestaltungsparameter deutlich. AU - Kärner, Tobias AU - Goller, Michael AU - Maier, Andreas ED - Schumann, Stephan ED - Seeber, Susan ED - Abele, Stephan ID - 33985 KW - Augmented Reality KW - Ausbildung KW - Weiterbildung KW - Lernen mit digitalen Medien KW - integratives Literaturreview T2 - Digitalisierung und digitale Medien in der Berufsbildung: Konzepte, Befunde und Herausforderungen TI - Augmented Reality Anwendungen in der betrieblichen Aus‐ und Weiterbildung VL - 41 ER - TY - JOUR AB - Startpunkt jeglicher Professionalisierungsbemühungen ist ein Verständnis der für das professionelle Handeln notwendigen Kompetenzen. Dieser Beitrag widmet sich der literaturbasierten Identifikation von Kompetenzen des betrieblichen Ausbildungspersonals und ordnet diese den vier Kompetenzbereichen Fach-, Methoden-, Sozial- und Selbstkompetenz zu. Die Ergebnisse können sowohl als Grundlage für weitere Forschung dienen als auch in der Praxis als Orientierung für die Gestaltung von Qualifizierungsmaßnahmen verwendet werden. AU - Bonnes, Caroline AU - Binkert, Julia AU - Goller, Michael ID - 34080 IS - 4 JF - Berufsbildung in Wissenschaft und Praxis – BWP TI - Kompetenzen des betrieblichen Ausbildungspersonals: Eine literaturbasierte Systematisierung ER - TY - CONF AB - An argument is a constellation of premises reasoning towards a certain conclusion. The automatic generation of conclusions is becoming a very prominent task, raising the need for automatic measures to assess the quality of these generated conclusions. The SharedTask at the 9th Workshop on Argument Mining proposes a new task to assess the novelty and validity of a conclusion given a set of premises. In this paper, we present a multitask learning approach that transfers the knowledge learned from the natural language inference task to the tasks at hand. Evaluation results indicate the importance of both knowledge transfer and joint learning, placing our approach in the fifth place with strong results compared to baselines. AU - Alshomary, Milad AU - Stahl, Maja ID - 34051 T2 - Proceedings of the 9th Workshop on Argument Mining TI - Argument Novelty and Validity Assessment via Multitask and Transfer Learning ER - TY - JOUR AB - Using a unique combination of advanced characterization techniques, we identify specific degradation mechanisms and quantify degradative species formed during fast charge cycling of lithium-ion battery pouch cells. AU - McShane, Eric J. AU - Paul, Partha P. AU - Tanim, Tanvir R. AU - Cao, Chuntian AU - Steinrück, Hans-Georg AU - Thampy, Vivek AU - Trask, Stephen E. AU - Dunlop, Alison R. AU - Jansen, Andrew N. AU - Dufek, Eric J. AU - Toney, Michael F. AU - Weker, Johanna Nelson AU - McCloskey, Bryan D. ID - 34099 IS - 44 JF - Journal of Materials Chemistry A KW - General Materials Science KW - Renewable Energy KW - Sustainability and the Environment KW - General Chemistry SN - 2050-7488 TI - Multimodal quantification of degradation pathways during extreme fast charging of lithium-ion batteries VL - 10 ER - TY - JOUR AU - Yusuf, Maha AU - LaManna, Jacob M. AU - Paul, Partha P. AU - Agyeman-Budu, David N. AU - Cao, Chuntian AU - Dunlop, Alison R. AU - Jansen, Andrew N. AU - Polzin, Bryant J. AU - Trask, Stephen E. AU - Tanim, Tanvir R. AU - Dufek, Eric J. AU - Thampy, Vivek AU - Steinrück, Hans-Georg AU - Toney, Michael F. AU - Nelson Weker, Johanna ID - 34098 IS - 11 JF - Cell Reports Physical Science KW - General Physics and Astronomy KW - General Energy KW - General Engineering KW - General Materials Science KW - General Chemistry SN - 2666-3864 TI - Simultaneous neutron and X-ray tomography for visualization of graphite electrode degradation in fast-charged lithium-ion batteries VL - 3 ER - TY - CONF AB - It is well known that different algorithms perform differently well on an instance of an algorithmic problem, motivating algorithm selection (AS): Given an instance of an algorithmic problem, which is the most suitable algorithm to solve it? As such, the AS problem has received considerable attention resulting in various approaches - many of which either solve a regression or ranking problem under the hood. Although both of these formulations yield very natural ways to tackle AS, they have considerable weaknesses. On the one hand, correctly predicting the performance of an algorithm on an instance is a sufficient, but not a necessary condition to produce a correct ranking over algorithms and in particular ranking the best algorithm first. On the other hand, classical ranking approaches often do not account for concrete performance values available in the training data, but only leverage rankings composed from such data. We propose HARRIS- Hybrid rAnking and RegRessIon foreSts - a new algorithm selector leveraging special forests, combining the strengths of both approaches while alleviating their weaknesses. HARRIS' decisions are based on a forest model, whose trees are created based on splits optimized on a hybrid ranking and regression loss function. As our preliminary experimental study on ASLib shows, HARRIS improves over standard algorithm selection approaches on some scenarios showing that combining ranking and regression in trees is indeed promising for AS. AU - Fehring, Lukass AU - Hanselle, Jonas Manuel AU - Tornede, Alexander ID - 34103 T2 - Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022 TI - HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection ER - TY - JOUR AU - Robra-Bissantz, Susanne AU - Lattemann, Christoph AU - Laue, Ralf AU - Leonhard-Pfleger, Raphaela AU - Wagner, Luisa AU - Gerundt, Oliver AU - Schlimbach, Ricarda AU - Baumann, Sabine AU - Vorbohle, Christian AU - Gottschalk, Sebastian AU - Kundisch, Dennis AU - Engels, Gregor AU - Wünderlich, Nancy AU - Nissen, Volker AU - Lohrenz, Lisa AU - Michalke, Simon ID - 33251 IS - 5 JF - HMD Praxis der Wirtschaftsinformatik TI - Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme VL - 59 ER - TY - CONF AU - Althaus, Maike AU - Poniatowski, Martin AU - Kundisch, Dennis ID - 33502 T2 - Proceedings of the 43rd International Conference on Information Systems (ICIS) TI - Tackling Crises Together? – An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic ER - TY - GEN AU - Laux, Florian AU - Poniatowski, Martin AU - Kundisch, Dennis ID - 33882 TI - May I have your attention, please? Analyzing the effects of attention screening mechanisms on crowdworking platforms ER - TY - GEN AU - Seutter, Janina ID - 33885 TI - Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives ER - TY - CONF AU - Padalkin, Andreas AU - Scheideler, Christian AU - Warner, Daniel ED - Ouldridge, Thomas E. ED - Wickham, Shelley F. J. ID - 32602 SN - 1868-8969 T2 - 28th International Conference on DNA Computing and Molecular Programming (DNA 28) TI - The Structural Power of Reconfigurable Circuits in the Amoebot Model VL - 238 ER - TY - CONF AU - Kostitsyna, Irina AU - Scheideler, Christian AU - Warner, Daniel ED - Ouldridge, Thomas E. ED - Wickham, Shelley F. J. ID - 32603 SN - 1868-8969 T2 - 28th International Conference on DNA Computing and Molecular Programming (DNA 28) TI - Fault-Tolerant Shape Formation in the Amoebot Model VL - 238 ER - TY - GEN AU - Seutter, Janina ID - 30916 T2 - Proceedings of the 30th European Conference on Information Systems (ECIS) TI - Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations ER - TY - GEN AU - Poniatowski, Martin ID - 31062 T2 - Proceedings of the 28th Americas Conference on Information Systems (AMCIS) TI - How the Display of the Transaction Count Affects the Purchase Intention ER - TY - JOUR AB - AbstractMany critical codebases are written in C, and most of them use preprocessor directives to encode variability, effectively encoding software product lines. These preprocessor directives, however, challenge any static code analysis. SPLlift, a previously presented approach for analyzing software product lines, is limited to Java programs that use a rather simple feature encoding and to analysis problems with a finite and ideally small domain. Other approaches that allow the analysis of real-world C software product lines use special-purpose analyses, preventing the reuse of existing analysis infrastructures and ignoring the progress made by the static analysis community. This work presents VarAlyzer, a novel static analysis approach for software product lines. VarAlyzer first transforms preprocessor constructs to plain C while preserving their variability and semantics. It then solves any given distributive analysis problem on transformed product lines in a variability-aware manner. VarAlyzer ’s analysis results are annotated with feature constraints that encode in which configurations each result holds. Our experiments with 95 compilation units of OpenSSL show that applying VarAlyzer enables one to conduct inter-procedural, flow-, field- and context-sensitive data-flow analyses on entire product lines for the first time, outperforming the product-based approach for highly-configurable systems. AU - Schubert, Philipp AU - Gazzillo, Paul AU - Patterson, Zach AU - Braha, Julian AU - Schiebel, Fabian AU - Hermann, Ben AU - Wei, Shiyi AU - Bodden, Eric ID - 30511 IS - 1 JF - Automated Software Engineering KW - inter-procedural static analysis KW - software product lines KW - preprocessor KW - LLVM KW - C/C++ SN - 0928-8910 TI - Static data-flow analysis for software product lines in C VL - 29 ER - TY - CONF AU - Vorbohle, Christian AU - Kundisch, Dennis ID - 30939 T2 - Proceedings of the 30th European Conference on Information Systems (ECIS) TI - Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems ER - TY - GEN AU - Althaus, Maike AU - Poniatowski, Martin AU - Kundisch, Dennis ID - 30734 TI - Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic ER - TY - GEN AU - Vorbohle, Christian AU - Kundisch, Dennis ID - 30212 TI - Key Properties of Sustainable Business Ecosystem Relationships ER - TY - CONF AU - Grieger, Nicole AU - Seutter, Janina AU - Kundisch, Dennis ID - 28999 T2 - Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022 TI - Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the Covid-19 Pandemic ER - TY - CONF AB - The decentralized nature of multi-agent systems requires continuous data exchange to achieve global objectives. In such scenarios, Age of Information (AoI) has become an important metric of the freshness of exchanged data due to the error-proneness and delays of communication systems. Communication systems usually possess dependencies: the process describing the success or failure of communication is highly correlated when these attempts are ``close'' in some domain (e.g. in time, frequency, space or code as in wireless communication) and is, in general, non-stationary. To study AoI in such scenarios, we consider an abstract event-based AoI process $\Delta(n)$, expressing time since the last update: If, at time $n$, a monitoring node receives a status update from a source node (event $A(n-1)$ occurs), then $\Delta(n)$ is reset to one; otherwise, $\Delta(n)$ grows linearly in time. This AoI process can thus be viewed as a special random walk with resets. The event process $A(n)$ may be nonstationary and we merely assume that its temporal dependencies decay sufficiently, described by $\alpha$-mixing. We calculate moment bounds for the resulting AoI process as a function of the mixing rate of $A(n)$. Furthermore, we prove that the AoI process $\Delta(n)$ is itself $\alpha$-mixing from which we conclude a strong law of large numbers for $\Delta(n)$. These results are new, since AoI processes have not been studied so far in this general strongly mixing setting. This opens up future work on renewal processes with non-independent interarrival times. AU - Redder, Adrian AU - Ramaswamy, Arunselvan AU - Karl, Holger ID - 32811 T2 - Proceedings of the 58th Allerton Conference on Communication, Control, and Computing TI - Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law ER - TY - CONF AU - Redder, Adrian AU - Ramaswamy, Arunselvan AU - Karl, Holger ID - 30793 T2 - Proceedings of the 14th International Conference on Agents and Artificial Intelligence TI - Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication ER - TY - CONF AB - Gender bias may emerge from an unequal representation of agency and power, for example, by portraying women frequently as passive and powerless ("She accepted her future'') and men as proactive and powerful ("He chose his future''). When language models learn from respective texts, they may reproduce or even amplify the bias. An effective way to mitigate bias is to generate counterfactual sentences with opposite agency and power to the training. Recent work targeted agency-specific verbs from a lexicon to this end. We argue that this is insufficient, due to the interaction of agency and power and their dependence on context. In this paper, we thus develop a new rewriting model that identifies verbs with the desired agency and power in the context of the given sentence. The verbs' probability is then boosted to encourage the model to rewrite both connotations jointly. According to automatic metrics, our model effectively controls for power while being competitive in agency to the state of the art. In our evaluation, human annotators favored its counterfactuals in terms of both connotations, also deeming its meaning preservation better. AU - Stahl, Maja AU - Spliethöver, Maximilian AU - Wachsmuth, Henning ID - 34082 T2 - Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science TI - To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation ER - TY - GEN AB - Iterative distributed optimization algorithms involve multiple agents that communicate with each other, over time, in order to minimize/maximize a global objective. In the presence of unreliable communication networks, the Age-of-Information (AoI), which measures the freshness of data received, may be large and hence hinder algorithmic convergence. In this paper, we study the convergence of general distributed gradient-based optimization algorithms in the presence of communication that neither happens periodically nor at stochastically independent points in time. We show that convergence is guaranteed provided the random variables associated with the AoI processes are stochastically dominated by a random variable with finite first moment. This improves on previous requirements of boundedness of more than the first moment. We then introduce stochastically strongly connected (SSC) networks, a new stochastic form of strong connectedness for time-varying networks. We show: If for any $p \ge0$ the processes that describe the success of communication between agents in a SSC network are $\alpha$-mixing with $n^{p-1}\alpha(n)$ summable, then the associated AoI processes are stochastically dominated by a random variable with finite $p$-th moment. In combination with our first contribution, this implies that distributed stochastic gradient descend converges in the presence of AoI, if $\alpha(n)$ is summable. AU - Redder, Adrian AU - Ramaswamy, Arunselvan AU - Karl, Holger ID - 30790 T2 - arXiv:2201.11343 TI - Distributed gradient-based optimization in the presence of dependent aperiodic communication ER - TY - JOUR AU - Hagengruber, Ruth Edith ID - 34109 JF - La Lettre clandestine n° 30: Émilie Du Châtelet et la littérature clandestine. Moreau, P.F. & Seguin, M.S. (Eds.). Paris TI - Du Châtelet et la tradition critique de la Bible. De la ‘philofolie’ aux Examens ER - TY - CONF AU - Clausing, Lennart AU - Platzner, Marco ID - 32855 T2 - 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) TI - ReconOS64: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support ER - TY - GEN AB - We present sufficient conditions that ensure convergence of the multi-agent Deep Deterministic Policy Gradient (DDPG) algorithm. It is an example of one of the most popular paradigms of Deep Reinforcement Learning (DeepRL) for tackling continuous action spaces: the actor-critic paradigm. In the setting considered herein, each agent observes a part of the global state space in order to take local actions, for which it receives local rewards. For every agent, DDPG trains a local actor (policy) and a local critic (Q-function). The analysis shows that multi-agent DDPG using neural networks to approximate the local policies and critics converge to limits with the following properties: The critic limits minimize the average squared Bellman loss; the actor limits parameterize a policy that maximizes the local critic's approximation of $Q_i^*$, where $i$ is the agent index. The averaging is with respect to a probability distribution over the global state-action space. It captures the asymptotics of all local training processes. Finally, we extend the analysis to a fully decentralized setting where agents communicate over a wireless network prone to delays and losses; a typical scenario in, e.g., robotic applications. AU - Redder, Adrian AU - Ramaswamy, Arunselvan AU - Karl, Holger ID - 30791 T2 - arXiv:2201.00570 TI - Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms ER - TY - CONF AU - Richter, Cedric AU - Wehrheim, Heike ID - 32590 T2 - 2022 IEEE Conference on Software Testing, Verification and Validation (ICST) TI - Learning Realistic Mutations: Bug Creation for Neural Bug Detectors ER - TY - CONF AU - Richter, Cedric AU - Wehrheim, Heike ID - 32591 T2 - 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR) TI - TSSB-3M: Mining single statement bugs at massive scale ER - TY - GEN AU - Siek, Hanna ID - 32398 TI - Bringing Structure to Structure-Preserving Signatures: Overview, Implementation and Comparison of Selected SPS Schemes ER - TY - GEN AU - Kramer, Paul ID - 31485 TI - On Transforming Lattice-Based Cryptography to the Ring Setting ER - TY - CONF AB - The creation of an RDF knowledge graph for a particular application commonly involves a pipeline of tools that transform a set ofinput data sources into an RDF knowledge graph in a process called dataset augmentation. The components of such augmentation pipelines often require extensive configuration to lead to satisfactory results. Thus, non-experts are often unable to use them. Wepresent an efficient supervised algorithm based on genetic programming for learning knowledge graph augmentation pipelines of arbitrary length. Our approach uses multi-expression learning to learn augmentation pipelines able to achieve a high F-measure on the training data. Our evaluation suggests that our approach can efficiently learn a larger class of RDF dataset augmentation tasks than the state of the art while using only a single training example. Even on the most complex augmentation problem we posed, our approach consistently achieves an average F1-measure of 99% in under 500 iterations with an average runtime of 16 seconds AU - Dreßler, Kevin AU - Sherif, Mohamed AU - Ngonga Ngomo, Axel-Cyrille ID - 31806 KW - 2022 RAKI SFB901 deer dice kevin knowgraphs limes ngonga sherif simba T2 - Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia TI - ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning ER - TY - JOUR AU - Redder, Adrian AU - Ramaswamy, Arunselvan AU - Karl, Holger ID - 32854 IS - 13 JF - IFAC-PapersOnLine TI - Practical Network Conditions for the Convergence of Distributed Optimization VL - 55 ER - TY - CONF AU - Hansmeier, Tim AU - Brede, Mathis AU - Platzner, Marco ID - 33253 T2 - GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion TI - XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion ER - TY - CONF AU - Chen, Wei-Fan AU - Chen, Mei-Hua AU - Mudgal, Garima AU - Wachsmuth, Henning ID - 33274 T2 - Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022) TI - Analyzing Culture-Specific Argument Structures in Learner Essays ER - TY - CONF AU - Maack, Marten AU - Pukrop, Simon AU - Rasmussen, Anna Rodriguez ED - Chechik, Shiri ED - Navarro, Gonzalo ED - Rotenberg, Eva ED - Herman, Grzegorz ID - 33491 T2 - 30th Annual European Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany TI - (In-)Approximability Results for Interval, Resource Restricted, and Low Rank Scheduling VL - 244 ER - TY - GEN AB - We study the consequences of modeling asymmetric bargaining power in two-person bargaining problems. Comparing application of an asymmetric version of a bargaining solution to an upfront modification of the disagreement point, the resulting distortion crucially depends on the bargaining solution concept. While for the Kalai-Smorodinsky solution weaker players benefit from modifying the disagreement point, the situation is reversed for the Nash bargaining solution. There, weaker players are better off in the asymmetric bargaining solution. When comparing application of the asymmetric versions of the Nash and the Kalai-Smorodinsky solutions, we demonstrate that there is an upper bound for the weight of a player, so that she is better off with the Nash bargaining solution. This threshold is ultimately determined by the relative utilitarian bargaining solution. From a mechanism design perspective, our results provide valuable information for a social planner, when implementing a bargaining solution for unequally powerful players. AU - Haake, Claus-Jochen AU - Streck, Thomas ID - 32106 KW - Asymmetric bargaining power KW - Nash bargaining solution KW - Kalai-Smorodinsky bargaining solution TI - Distortion through modeling asymmetric bargaining power VL - 148 ER - TY - GEN AU - Grynko, Yevgen AU - Shkuratov, Yuriy AU - Alhaddad, Samer AU - Förstner, Jens ID - 34136 KW - tet_topic_scattering TI - Light backscattering from numerical analog of planetary regoliths ER - TY - JOUR AB - How can Knowledge In/Equity be addressed in qualitative research by taking the idea of Open Science into account? Two projects from the Open Science Fellows Programme by Wikimedia Deutschland will be used to illustrate how Open Science practices can succeed in qualitative research, thereby reducing In/Equity. In this context, In/Equity is considered as a fair and equal representation of people, their knowledge and insights and comprehends questions about how epistemic, structural, institutional and personal biases generate and shape knowledge as guidance. Three questions guide this approach: firstly, what do we understand by In/Equity in the context of knowledge production in these projects? Secondly, who will be involved in knowledge generation and to what extent will they be valued or unvalued? Thirdly, how can data be made accessible for re-use to enable true participation and sharing? AU - Steinhardt, Isabel AU - Kruschick, Felicitas ID - 34132 JF - Research Ideas and Outcomes KW - Open Science KW - Knowledge Equity KW - Qualitative Methods SN - 2367-7163 TI - Knowledge Equity and Open Science in qualitative research – Practical research considerations VL - 8 ER - TY - JOUR AB - Subwavelength dielectric resonators assembled into metasurfaces have become a versatile tool for miniaturizing optical components approaching the nanoscale. An important class of metasurface functionalities is associated with asymmetry in both the generation and transmission of light with respect to reversals of the positions of emitters and receivers. The nonlinear light–matter interaction in metasurfaces offers a promising pathway towards miniaturization of the asymmetric control of light. Here we demonstrate asymmetric parametric generation of light in nonlinear metasurfaces. We assemble dissimilar nonlinear dielectric resonators into translucent metasurfaces that produce images in the visible spectral range on being illuminated by infrared radiation. By design, the metasurfaces produce different and completely independent images for the reversed direction of illumination, that is, when the positions of the infrared emitter and the visible light receiver are exchanged. Nonlinearity-enabled asymmetric control of light by subwavelength resonators paves the way towards novel nanophotonic components via dense integration of large quantities of nonlinear resonators into compact metasurface designs. AU - Kruk, Sergey S. AU - Wang, Lei AU - Sain, Basudeb AU - Dong, Zhaogang AU - Yang, Joel AU - Zentgraf, Thomas AU - Kivshar, Yuri ID - 32088 JF - Nature Photonics KW - Atomic and Molecular Physics KW - and Optics KW - Electronic KW - Optical and Magnetic Materials SN - 1749-4885 TI - Asymmetric parametric generation of images with nonlinear dielectric metasurfaces VL - 16 ER - TY - CONF AB - In this paper, machine learning techniques will be used to classify different PCB layouts given their electromagnetic frequency spectra. These spectra result from a simulated near-field measurement of electric field strengths at different locations. Measured values consist of real and imaginary parts (amplitude and phase) in X, Y and Z directions. Training data was obtained in the time domain by varying transmission line geometries (size, distance and signaling). It was then transformed into the frequency domain and used as deep neural network input. Principal component analysis was applied to reduce the sample dimension. The results show that classifying different designs is possible with high accuracy based on synthetic data. Future work comprises measurements of real, custom-made PCB with varying parameters to adapt the simulation model and also test the neural network. Finally, the trained model could be used to give hints about the error’s cause when overshooting EMC limits. AU - Maalouly, Jad AU - Hemker, Dennis AU - Hedayat, Christian AU - Rückert, Christian AU - Kaufmann, Ivan AU - Olbrich, Marcel AU - Lange, Sven AU - Mathis, Harald ID - 34140 KW - emc KW - pcb KW - electronic system development KW - machine learning KW - neural network T2 - 2022 Kleinheubach Conference TI - AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development ER - TY - CHAP AU - Hagengruber, Ruth Edith ED - Banse, Gerhard ED - Fuchs-Kittowski, Klaus ID - 34108 T2 - Sitzungsberichte der Leibniz-Sozietät der Wissenschaften 150/151, Jahrgang 2022: „Cyberscience – Wissenschaftsforschung und Informatik. Digitale Medien und die Zukunft der Kultur wissenschaftlicher Tätigkeit. Arbeitskreis „Emergente Systeme/Informatik und Gesellschaft“ der Leibniz-Sozietät der Wissenschaften zu Berlin in Kooperation mit der Gesellschaft für Wissenschaftsforschung“ TI - Die „dritte Wissensdimension“. Eine Epistemologie für eine neue Wissenswelt ER - TY - CHAP AB - This work addresses the automatic resolution of software requirements. In the vision of On-The-Fly Computing, software services should be composed on demand, based solely on natural language input from human users. To enable this, we build a chatbot solution that works with human-in-the-loop support to receive, analyze, correct, and complete their software requirements. The chatbot is equipped with a natural language processing pipeline and a large knowledge base, as well as sophisticated dialogue management skills to enhance the user experience. Previous solutions have focused on analyzing software requirements to point out errors such as vagueness, ambiguity, or incompleteness. Our work shows how apps can collaborate with users to efficiently produce correct requirements. We developed and compared three different chatbot apps that can work with built-in knowledge. We rely on ChatterBot, DialoGPT and Rasa for this purpose. While DialoGPT provides its own knowledge base, Rasa is the best system to combine the text mining and knowledge solutions at our disposal. The evaluation shows that users accept 73% of the suggested answers from Rasa, while they accept only 63% from DialoGPT or even 36% from ChatterBot. AU - Kersting, Joschka AU - Ahmed, Mobeen AU - Geierhos, Michaela ED - Stephanidis, Constantine ED - Antona, Margherita ED - Ntoa, Stavroula ID - 32179 KW - On-The-Fly Computing KW - Chatbot KW - Knowledge Base SN - 1865-0929 T2 - HCI International 2022 Posters TI - Chatbot-Enhanced Requirements Resolution for Automated Service Compositions VL - 1580 ER - TY - CONF AU - Otroshi, Mortaza AU - Meschut, Gerson ID - 34152 TI - Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung ER - TY - CONF AU - Krauter, Stefan AU - Bendfeld, Jörg ID - 34155 T2 - Proceedings of the 8th World Conference on Photovoltaik Energy Conversion TI - Microinverter PV Systems: New Efficiency Rankings and Formula for Energy Yield Assessment for any PV Panel Size at different Microinverter types ER - TY - CONF AU - Kakande, Josephine Nakato AU - Philipo, Godiana Hagile AU - Krauter, Stefan ID - 34156 T2 - Proceedings of the 8th World Conference on Photovoltaik Energy Conversion TI - Optimal Design of a Semi Grid-Connected PV System for a Site in Lwak, Kenya Using HOMER ER - TY - GEN AU - Otroshi, Mortaza AU - Meschut, Gerson ID - 34153 TI - Schädigungsmodellierung von Hilfsfügeelementen beim mechanischen Fügen von Stahlwerkstoffen ER - TY - THES AB - Wettstreit zwischen der Entwicklung neuer Hardwaretrojaner und entsprechender Gegenmaßnahmen beschreiten Widersacher immer raffiniertere Wege um Schaltungsentwürfe zu infizieren und dabei selbst fortgeschrittene Test- und Verifikationsmethoden zu überlisten. Abgesehen von den konventionellen Methoden um einen Trojaner in eine Schaltung für ein Field-programmable Gate Array (FPGA) einzuschleusen, können auch die Entwurfswerkzeuge heimlich kompromittiert werden um einen Angreifer dabei zu unterstützen einen erfolgreichen Angriff durchzuführen, der zum Beispiel Fehlfunktionen oder ungewollte Informationsabflüsse bewirken kann. Diese Dissertation beschäftigt sich hauptsächlich mit den beiden Blickwinkeln auf Hardwaretrojaner in rekonfigurierbaren Systemen, einerseits der Perspektive des Verteidigers mit einer Methode zur Erkennung von Trojanern auf der Bitstromebene, und andererseits derjenigen des Angreifers mit einer neuartigen Angriffsmethode für FPGA Trojaner. Für die Verteidigung gegen den Trojaner ``Heimtückische LUT'' stellen wir die allererste erfolgreiche Gegenmaßnahme vor, die durch Verifikation mittels Proof-carrying Hardware (PCH) auf der Bitstromebene direkt vor der Konfiguration der Hardware angewendet werden kann, und präsentieren ein vollständiges Schema für den Entwurf und die Verifikation von Schaltungen für iCE40 FPGAs. Für die Gegenseite führen wir einen neuen Angriff ein, welcher bösartiges Routing im eingefügten Trojaner ausnutzt um selbst im fertigen Bitstrom in einem inaktiven Zustand zu verbleiben: Hierdurch kann dieser neuartige Angriff zur Zeit weder von herkömmlichen Test- und Verifikationsmethoden, noch von unserer vorher vorgestellten Verifikation auf der Bitstromebene entdeckt werden. AU - Ahmed, Qazi Arbab ID - 29769 KW - FPGA Security KW - Hardware Trojans KW - Bitstream-level Trojans KW - Bitstream Verification TI - Hardware Trojans in Reconfigurable Computing ER - TY - CONF AB - Within innovation management, choosing the best fitting product idea is the most important decision point. The future existence and success of the organization is depending on selected product ideas. To find the best fitting idea for an organization, it needs evaluation criteria representing the organizations mission Therefore, this study focuses on a holistic overview about evaluation criteria and on supporting organizations in the process to select its individual evaluation criteria. Based on a literature study, existing approaches regarding evaluation criteria in product idea selection are identified and a list of evaluation criteria is reworked. Using the list of evaluation criteria, a prioritization method is created. Within an interview with experts in innovation management, the method is discussed regarding usability and the level of assistance in product idea selection. The developed criteria can be used directly by innovation manager and industrial practitioners to evaluate potential product ideas. AU - Gräßler, Iris AU - Koch, Anna-Sophie ID - 34166 KW - innovation management KW - evaluation criteria KW - idea selection KW - idea evaluation KW - meta-study SN - 978-952-335-694-8 T2 - XXXIII Proceedings of the ISPIM Innovation Conference TI - Evaluation Criteria in Product Idea Selection Decisions ER - TY - THES AB - Anforderungsänderungen sind ein wesentlicher Grund für Ineffizienzen und Projektfehlschläge in der Entwicklung komplexer technischer Systeme. Proaktives Management von Anforderungsänderungen hat das Potenzial, den Umgang mit Anforderungsänderungen effizienter zu gestalten. Dafür ist ein systematischer Ansatz erforderlich, der eine ganzheitliche Bewertung und Handhabung des Änderungsrisikos im industriellen Entwicklungskontext ermöglicht. Im Rahmen dieser Dissertation wird mit der ProMaRC-Methodik ein neuartiger Ansatz für das proaktive Management von Anforderungsänderungen vorgestellt. Die Methodik wurde in enger Zusammenarbeit mit Industrieanwender:innen aus der Automobilindustrie entwickelt und anhand von fünf Fallstudien validiert. Mittels automatisierter Abhängigkeitsanalyse auf Grundlage künstlicher Intelligenz wird der Anwendungsaufwand gegenüber bestehenden Ansätzen reduziert. Die teilautomatisierte Bewertung und Handhabung der Änderungswahrscheinlichkeit und -auswirkung erfolgt anhand eines modifizierten PageRank-Algorithmus und umfasst erstmalig alle für die Risikoanalyse relevanten Einflussfaktoren. Die Validierung belegt, dass durch die ProMaRC-Methodik eine überzeugende Kombination aus praxistauglichem Anwendungsaufwand und Vollständigkeit der Analyse erzielt wird. Damit erschließt diese Dissertation das bisher kaum beachtete Forschungsfeld des proaktiven Managements von Anforderungsänderungen und fördert eine effizientere Produktentwicklung. AU - Oleff, Christian ID - 34174 TI - Proaktives Management von Anforderungsänderungen in der Entwicklung komplexer technischer Systeme VL - 406 ER - TY - CONF AB - This paper aims at discussing past limitations set in sentiment analysis research regarding explicit and implicit mentions of opinions. Previous studies have regularly neglected this question in favor of methodical research on standard-datasets. Furthermore, they were limited to linguistically less-diverse domains, such as commercial product reviews. We face this issue by annotating a German-language physician review dataset that contains numerous implicit, long, and complex statements that indicate aspect ratings, such as the physician’s friendliness. We discuss the nature of implicit statements and present various samples to illustrate the challenge described. AU - Kersting, Joschka AU - Bäumer, Frederik Simon ED - Kersting, Joschka ID - 31054 KW - Sentiment analysis KW - Natural language processing KW - Aspect phrase extraction T2 - Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications TI - Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis ER - TY - JOUR AU - Hoyer, Britta AU - De Jaegher, Kris ID - 31881 JF - International Journal of Game Theory TI - Network Disruption and the Common-Enemy Effect ER - TY - GEN AB - BloKK-Beitrag für das ZeKK, 03.12.2022 AU - Lebock, Sarah ID - 34187 TI - Blogpost "Von der Grundstimmung als philosophischer Ausgangspunkt" ER - TY - JOUR AB - Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing attention in recent years. Most existing methods feature a signal processing frontend and an ASR backend. In realistic scenarios, these modules are usually trained separately or progressively, which suffers from either inter-module mismatch or a complicated training process. In this paper, we propose an end-to-end multi-channel model that jointly optimizes the speech enhancement (including speech dereverberation, denoising, and separation) frontend and the ASR backend as a single system. To the best of our knowledge, this is the first work that proposes to optimize dereverberation, beamforming, and multi-speaker ASR in a fully end-to-end manner. The frontend module consists of a weighted prediction error (WPE) based submodule for dereverberation and a neural beamformer for denoising and speech separation. For the backend, we adopt a widely used end-to-end (E2E) ASR architecture. It is worth noting that the entire model is differentiable and can be optimized in a fully end-to-end manner using only the ASR criterion, without the need of parallel signal-level labels. We evaluate the proposed model on several multi-speaker benchmark datasets, and experimental results show that the fully E2E ASR model can achieve competitive performance on both noisy and reverberant conditions, with over 30% relative word error rate (WER) reduction over the single-channel baseline systems. AU - Zhang, Wangyou AU - Chang, Xuankai AU - Boeddeker, Christoph AU - Nakatani, Tomohiro AU - Watanabe, Shinji AU - Qian, Yanmin ID - 33669 JF - IEEE/ACM Transactions on Audio, Speech, and Language Processing SN - Print ISSN: 2329-9290 Electronic ISSN: 2329-9304 TI - End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party ER - TY - JOUR AB - AbstractComprehensive data understanding is a key success driver for data analytics projects. Knowing the characteristics of the data helps a lot in selecting the appropriate data analysis techniques. Especially in data-driven product planning, knowledge about the data is a necessary prerequisite because data of the use phase is very heterogeneous. However, companies often do not have the necessary know-how or time to build up solid data understanding in connection with data analysis. In this paper, we develop a methodology to organize and categorize and thus understand use phase data in a way that makes it accessible to general data analytics workflows, following a design science research approach. We first present a knowledge base that lists typical use phase data from a product planning view. Second, we develop a taxonomy based on standard literature and real data objects, which covers the diversity of the data considered. The taxonomy provides 8 dimensions that support classification of use phase data and allows to capture data characteristics from a data analytics view. Finally, we combine both views by clustering the objects of the knowledge base according to the taxonomy. Each of the resulting clusters covers a typical combination of analytics relevant characteristics occurring in practice. By abstracting from the diversity of use phase data into artifacts with manageable complexity, our approach provides guidance to choose appropriate data analysis and AI techniques. AU - Panzner, Melina AU - von Enzberg, Sebastian AU - Meyer, Maurice AU - Dumitrescu, Roman ID - 34197 JF - Journal of the Knowledge Economy KW - Economics and Econometrics SN - 1868-7865 TI - Characterization of Usage Data with the Help of Data Classifications ER - TY - JOUR AB - Mounting sensors in disk stack separators is often a major challenge due to the operating conditions. However, a process cannot be optimally monitored without sensors. Virtual sensors can be a solution to calculate the sought parameters from measurable values. We measured the vibrations of disk stack separators and applied machine learning (ML) to detect whether the separator contains only water or whether particles are also present. We combined seven ML classification algorithms with three feature engineering strategies and evaluated our model successfully on vibration data of an experimental disk stack separator. Our experimental results demonstrate that random forest in combination with manual feature engineering using domain specific knowledge about suitable features outperforms all other models with an accuracy of 91.27 %. AU - Merkelbach, Silke AU - Afroze, Lameya AU - Janssen, Nils AU - von Enzberg, Sebastian AU - Kühn, Arno AU - Dumitrescu, Roman ID - 34196 JF - Vibroengineering PROCEDIA KW - General Medicine SN - 2345-0533 TI - Using vibration data to classify conditions in disk stack separators VL - 46 ER - TY - CHAP AU - Hobscheidt, Daniela AU - Menzefricke, Jörn Steffen AU - Gabriel, Stefan AU - Kühn, Arno AU - Dumitrescu, Roman ID - 34195 SN - 9783658383787 T2 - Praxishandbuch Robotic Process Automation (RPA) TI - Soziotechnische Herausforderungen bei der Einführung von RPA managen ER - TY - CHAP AU - Bansmann, Michael AU - Dumitrescu, Roman AU - Fechtelpeter, Christian ID - 34193 SN - 2523-3637 T2 - Gestaltung digitalisierter Arbeitswelten TI - Transfer von Arbeit 4.0-Anwendungsszenarien ER - TY - CHAP AU - Brock, Jonathan AU - von Enzberg, Sebastian AU - Kühn, Arno AU - Dumitrescu, Roman ID - 34194 SN - 9783658383787 T2 - Praxishandbuch Robotic Process Automation (RPA) TI - Nutzung von Process Mining in RPA-Projekten ER - TY - JOUR AB - Praxeologische Kompetenzansätze verstehen Kompetenz als sozial erlernt und folglich als relativ zum sozialen Kontext. Damit einher geht die Frage, wie solche praxeologisch gerahmten Kompetenzen eigentlich unabhängig von der sie hervorbringenden Praxis evaluiert werden können – und eben dadurch erst für einen breiteren Kompetenzdiskurs fruchtbar sind. Die Dokumentarische Evaluationsforschung bietet hierzu erste Anhaltspunkte, offenbart aber auch Grenzen, die mit dem Evaluationsverständnis zusammenhängen, sich jedoch in der Forschungspraxis so nicht finden lassen. Aus der Differenz zwischen Methode und Praxis dokumentarischer Evaluation lässt sich formulieren, wie eine praxeologische Evaluation gestaltet werden könnte. Dabei spielt die Formulierung von Referenzrahmen eine zentrale Rolle, welche einerseits der zu evaluierenden Praktik external sein, andererseits praktisch formuliert werden müssen, damit sie soziale Praktiken jenseits ihrer eigenen Sinnhaftigkeit evaluativ (er-)fassen können. AU - Bloh, Thiemo ID - 34200 IS - 02 JF - Zeitschrift für Evaluation KW - Strategy and Management KW - Applied Psychology KW - Social Sciences (miscellaneous) KW - Education KW - Communication KW - Statistics and Probability SN - 1619-5515 TI - Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung VL - 2022 ER -