@article{23466, abstract = {{Abstract The term graphic novel has increasingly functioned as a catalyst for understanding comic books as an emergent literary genre. This article focuses on one specific element within this historical process: the claim, made by artists such as Alan Moore, that graphic novels are characterized by greater formal complexity, or density, than serial comics. These claims are evaluated by combining computational text and image recognition of a corpus of 131 graphic narratives with sociological metadata on production and circulation. The results show that Moore’s own book-length comics, in particular Watchmen and V for Vendetta, rank among the densest graphic narratives in the sample in both their visual and textual content. Graphic memoirs, in contrast, only show an increase in textual complexity. With Pierre Bourdieu, the article understands complexity as a social and aesthetic strategy that aims at increasing the cultural capital of comics creators. At the same time, the article contextualizes computational results against the background of a changing marketplace for comics, in particular the decline of serial comics, the shift towards digital printing, and increased access to book distribution. This analysis shows that graphic narratives pursue both literary and popular aesthetic strategies, challenging Bourdieu’s account of a clear opposition between profit and prestige in cultural production.}}, author = {{Dunst, Alexander and Hartel, Rita}}, issn = {{1865-8938}}, journal = {{Anglia}}, number = {{1}}, pages = {{195--223}}, title = {{{Computing Literary Surplus Value: Alan Moore and the Density of the Comic Book as Graphic Novel}}}, doi = {{10.1515/ang-2021-0010}}, volume = {{139}}, year = {{2021}}, } @article{23524, abstract = {{We experimentally consider a dynamic multi-period Cournot duopoly with a simultaneous option to manage financial risk and a real option to delay supply. The first option allows players to manage risk before uncertainty is realized, while the second allows managing risk after realization. In our setting, firms face a strategic dilemma: They must weigh the advantages of dealing with risk exposure against the disadvantages of higher competition. In theory, firms make strategic use of the hedging component, enhancing competition. Our experimental results support this theory, suggesting that hedging increases competition and negates duopoly profits even in a simultaneous setting.}}, author = {{Cox, Caleb and Karam, Arzé and Pelster, Matthias}}, journal = {{Review of Industrial Organization}}, title = {{{Two-period duopolies with forward markets}}}, doi = {{10.1007/s11151-021-09839-6}}, year = {{2021}}, } @article{23525, abstract = {{AbstractIn the field of Model-Driven Engineering, Triple Graph Grammars (TGGs) play an important role as a rule-based means of implementing consistency management. From a declarative specification of a consistency relation, several operations including forward and backward transformations, (concurrent) synchronisation, and consistency checks can be automatically derived. For TGGs to be applicable in realistic application scenarios, expressiveness in terms of supported language features is very important. A TGG tool is schema compliant if it can take domain constraints, such as multiplicity constraints in a meta-model, into account when performing consistency management tasks. To guarantee schema compliance, most TGG tools allow application conditions to be attached as necessary to relevant rules. This strategy is problematic for at least two reasons: First, ensuring compliance to a sufficiently expressive schema for all previously mentioned derived operations is still an open challenge; to the best of our knowledge, all existing TGG tools only support a very restricted subset of application conditions. Second, it is conceptually demanding for the user to indirectly specify domain constraints as application conditions, especially because this has to be completely revisited every time the TGG or domain constraint is changed. While domain constraints can in theory be automatically transformed to obtain the required set of application conditions, this has only been successfully transferred to TGGs for a very limited subset of domain constraints. To address these limitations, this paper proposes a search-based strategy for achieving schema compliance. We show that all correctness and completeness properties, previously proven in a setting without domain constraints, still hold when schema compliance is to be additionally guaranteed. An implementation and experimental evaluation are provided to support our claim of practical applicability.}}, author = {{Weidmann, Nils and Anjorin, Anthony}}, issn = {{0934-5043}}, journal = {{Formal Aspects of Computing}}, publisher = {{Springer}}, title = {{{Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming}}}, doi = {{10.1007/s00165-021-00557-0}}, year = {{2021}}, } @article{23526, abstract = {{Modern and flexible application-level software platforms increase the attack surface of connected vehicles and thereby require automotive engineers to adopt additional security control techniques. These techniques encompass host-based intrusion detection systems (HIDSs) that detect suspicious activities in application contexts. Such application-aware HIDSs originate in information and communications technology systems and have a great potential to deal with the flexible nature of application-level software platforms. However, the elementary characteristics of known application-aware HIDS approaches and thereby the implications for their transfer to the automotive sector are unclear. In previous work, we presented a systematic literature review (SLR) covering the state of the art of application-aware HIDS approaches. We synthesized our findings by means of a fine-grained classification for each approach specified through a feature model and corresponding variant models. These models represent the approaches’ elementary characteristics. Furthermore, we summarized key findings and inferred implications for the transfer of application-aware HIDSs to the automotive sector. In this article, we extend the previous work by several aspects. We adjust the quality evaluation process within the SLR to be able to consider high quality conference publications, which results in an extended final pool of publications. For supporting HIDS developers on the task of configuring HIDS analysis techniques based on machine learning, we report on initial results on the applicability of AutoML. Furthermore, we present lessons learned regarding the application of the feature and variant model approach for SLRs. Finally, we more thoroughly describe the SLR study design.}}, author = {{Schubert, David and Eikerling, Hendrik and Holtmann, Jörg}}, issn = {{2624-9898}}, journal = {{Frontiers in Computer Science}}, publisher = {{Frontiers Media}}, title = {{{Application-Aware Intrusion Detection: A Systematic Literature Review, Implications for Automotive Systems, and Applicability of AutoML}}}, doi = {{10.3389/fcomp.2021.567873}}, volume = {{3}}, year = {{2021}}, } @unpublished{23534, abstract = {{In recent years, the World Economic Forum has identified software security as the most significant technological risk to the world's population, as software-intensive systems process critical data and provide critical services. This raises the question of the extent to which German companies are addressing software security in developing and operating their software products. This paper reports on the results of an extensive study among developers, product owners, and managers to answer this question. Our results show that ensuring security is a multi-faceted challenge for companies, involving low awareness, inaccurate self-assessment, and a lack of competence on the topic of secure software development among all stakeholders. The current situation in software development is therefore detrimental to the security of software products in the medium and long term.}}, author = {{Dziwok, Stefan and Koch, Thorsten and Merschjohann, Sven and Budweg, Boris and Leuer, Sebastian}}, booktitle = {{arXiv:2108.11752}}, title = {{{AppSecure.nrw Software Security Study}}}, year = {{2021}}, } @inproceedings{23576, author = {{Biemelt, Patrick and Böhm, Sabrina and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)}}, location = {{Melbourne, Australia}}, pages = {{1619 -- 1626}}, title = {{{Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator}}}, year = {{2021}}, } @article{23598, author = {{Kessler, Jan and Calcavecchia, Francesco and Kühne, Thomas D.}}, issn = {{2513-0390}}, journal = {{Advanced Theory and Simulations}}, title = {{{Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo}}}, doi = {{10.1002/adts.202000269}}, year = {{2021}}, } @article{23609, author = {{Guzelturk, Burak and Winkler, Thomas and Van de Goor, Tim W. J. and Smith, Matthew D. and Bourelle, Sean A. and Feldmann, Sascha and Trigo, Mariano and Teitelbaum, Samuel W. and Steinrück, Hans-Georg and de la Pena, Gilberto A. and Alonso-Mori, Roberto and Zhu, Diling and Sato, Takahiro and Karunadasa, Hemamala I. and Toney, Michael F. and Deschler, Felix and Lindenberg, Aaron M.}}, issn = {{1476-1122}}, journal = {{Nature Materials}}, pages = {{618--623}}, title = {{{Visualization of dynamic polaronic strain fields in hybrid lead halide perovskites}}}, doi = {{10.1038/s41563-020-00865-5}}, volume = {{20}}, year = {{2021}}, } @article{23610, author = {{Paul, Partha P. and McShane, Eric J. and Colclasure, Andrew M. and Balsara, Nitash and Brown, David E. and Cao, Chuntian and Chen, Bor‐Rong and Chinnam, Parameswara R. and Cui, Yi and Dufek, Eric J. and Finegan, Donal P. and Gillard, Samuel and Huang, Wenxiao and Konz, Zachary M. and Kostecki, Robert and Liu, Fang and Lubner, Sean and Prasher, Ravi and Preefer, Molleigh B. and Qian, Ji and Rodrigues, Marco‐Tulio Fonseca and Schnabel, Manuel and Son, Seoung‐Bum and Srinivasan, Venkat and Steinrück, Hans-Georg and Tanim, Tanvir R. and Toney, Michael F. and Tong, Wei and Usseglio‐Viretta, Francois and Wan, Jiayu and Yusuf, Maha and McCloskey, Bryan D. and Nelson Weker, Johanna}}, issn = {{1614-6832}}, journal = {{Advanced Energy Materials}}, pages = {{2100372}}, title = {{{A Review of Existing and Emerging Methods for Lithium Detection and Characterization in Li‐Ion and Li‐Metal Batteries}}}, doi = {{10.1002/aenm.202100372}}, volume = {{11}}, year = {{2021}}, } @article{23611, author = {{Steinrück, Hans-Georg}}, issn = {{0021-9606}}, journal = {{The Journal of Chemical Physics}}, pages = {{174703}}, title = {{{Modeling cyclic voltammetry during solid electrolyte interphase formation: Baseline scenario of a dynamically evolving tunneling barrier resulting from a homogeneous single-phase insulating film}}}, doi = {{10.1063/5.0049591}}, volume = {{154}}, year = {{2021}}, } @article{23612, author = {{Zhang, Yong and Lewis, Nicholas H. C. and Mars, Julian and Wan, Gang and Weadock, Nicholas J. and Takacs, Christopher J. and Lukatskaya, Maria R. and Steinrück, Hans-Georg and Toney, Michael F. and Tokmakoff, Andrei and Maginn, Edward J.}}, issn = {{1520-6106}}, journal = {{The Journal of Physical Chemistry B}}, pages = {{4501--4513}}, title = {{{Water-in-Salt LiTFSI Aqueous Electrolytes. 1. Liquid Structure from Combined Molecular Dynamics Simulation and Experimental Studies}}}, doi = {{10.1021/acs.jpcb.1c02189}}, volume = {{125}}, year = {{2021}}, } @article{23613, author = {{Zhao, Baolin and Gothe, Bastian and Groh, Arthur and Schmaltz, Thomas and Will, Johannes and Steinrück, Hans-Georg and Unruh, Tobias and Mecking, Stefan and Halik, Marcus}}, issn = {{1944-8244}}, journal = {{ACS Applied Materials & Interfaces}}, pages = {{32461--32466}}, title = {{{Oligothiophene Phosphonic Acids for Self-Assembled Monolayer Field-Effect Transistors}}}, doi = {{10.1021/acsami.1c05764}}, volume = {{13}}, year = {{2021}}, } @article{23614, abstract = {{A liquid-crystalline hexaphenylene amphiphile and an aluminosilicate precursor were co-assembled and pyrolyzed to form carbon-aluminosilicate nanocomposites with controlled lamellar orientation and macroscopic order.}}, author = {{Paripović, Dragana and Hartmann, Lucia and Steinrück, Hans-Georg and Magerl, Andreas and Li-Destri, Giovanni and Fontana, Yannik and Fontcuberta i Morral, Anna and Oveisi, Emad and Bomal, Enzo and Frauenrath, Holger}}, issn = {{2040-3364}}, journal = {{Nanoscale}}, pages = {{13650--13657}}, title = {{{Lamellar carbon-aluminosilicate nanocomposites with macroscopic orientation}}}, doi = {{10.1039/d1nr00807b}}, volume = {{13}}, year = {{2021}}, } @article{23615, abstract = {{

Realization of extreme fast charging (XFC, ≤15 minutes) of lithium-ion batteries is imperative for the widespread adoption of electric vehicles.

}}, author = {{Paul, Partha P. and Thampy, Vivek and Cao, Chuntian and Steinrück, Hans-Georg and Tanim, Tanvir R. and Dunlop, Alison R. and Dufek, Eric J. and Trask, Stephen E. and Jansen, Andrew N. and Toney, Michael F. and Nelson Weker, Johanna}}, issn = {{1754-5692}}, journal = {{Energy & Environmental Science}}, pages = {{4979--4988}}, title = {{{Quantification of heterogeneous, irreversible lithium plating in extreme fast charging of lithium-ion batteries}}}, doi = {{10.1039/d1ee01216a}}, volume = {{14}}, year = {{2021}}, } @article{23616, author = {{Galluzzo, Michael D. and Grundy, Lorena S. and Takacs, Christopher J. and Cao, Chuntian and Steinrück, Hans-Georg and Fu, Sean and Rivas Valadez, Michael A. and Toney, Michael F. and Balsara, Nitash P.}}, issn = {{0024-9297}}, journal = {{Macromolecules}}, pages = {{7808--7824}}, title = {{{Orientation-Dependent Distortion of Lamellae in a Block Copolymer Electrolyte under DC Polarization}}}, doi = {{10.1021/acs.macromol.1c01295}}, volume = {{54}}, year = {{2021}}, } @article{23672, abstract = {{AbstractOrganizations introduce virtual assistants (VAs) to support employees with work-related tasks. VAs can increase the success of teamwork and thus become an integral part of the daily work life. However, the effect of VAs on virtual teams remains unclear. While social identity theory describes the identification of employees with team members and the continued existence of a group identity, the concept of the extended self refers to the incorporation of possessions into one’s sense of self. This raises the question of which approach applies to VAs as teammates. The article extends the IS literature by examining the impact of VAs on individuals and teams and updates the knowledge on social identity and the extended self by deploying VAs in a collaborative setting. Using a laboratory experiment with N = 50, two groups were compared in solving a task, where one group was assisted by a VA, while the other was supported by a person. Results highlight that employees who identify VAs as part of their extended self are more likely to identify with team members and vice versa. The two aspects are thus combined into the proposed construct of virtually extended identification explaining the relationships of collaboration with VAs. This study contributes to the understanding on the influence of the extended self and social identity on collaboration with VAs. Practitioners are able to assess how VAs improve collaboration and teamwork in mixed teams in organizations.}}, author = {{Mirbabaie, Milad and Stieglitz, Stefan and Brünker, Felix and Hofeditz, Lennart and Ross, Björn and Frick, Nicholas R. J.}}, issn = {{2363-7005}}, journal = {{Business & Information Systems Engineering}}, pages = {{21--37}}, title = {{{Understanding Collaboration with Virtual Assistants – The Role of Social Identity and the Extended Self}}}, doi = {{10.1007/s12599-020-00672-x}}, year = {{2021}}, } @article{23673, author = {{Mirbabaie, Milad and Stieglitz, Stefan and Brünker, Felix}}, issn = {{0959-3845}}, journal = {{Information Technology & People}}, title = {{{Dynamics of convergence behaviour in social media crisis communication – a complexity perspective}}}, doi = {{10.1108/itp-10-2019-0537}}, year = {{2021}}, } @article{23674, abstract = {{The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-being of patients. Human error hinders accurate diagnostics, as interpreting medical information is a complex and cognitively challenging task. The application of artificial intelligence (AI) can improve the level of diagnostic accuracy and efficiency. While the current literature has examined various approaches to diagnosing various diseases, an overview of fields in which AI has been applied, including their performance aiming to identify emergent digitalized healthcare services, has not yet been adequately realized in extant research. By conducting a critical review, we portray the AI landscape in diagnostics and provide a snapshot to guide future research. This paper extends academia by proposing a research agenda. Practitioners understand the extent to which AI improves diagnostics and how healthcare benefits from it. However, several issues need to be addressed before successful application of AI in disease diagnostics can be achieved.}}, author = {{Mirbabaie, Milad and Stieglitz, Stefan and Frick, Nicholas R. J.}}, issn = {{2190-7188}}, journal = {{Health and Technology}}, pages = {{693--731}}, title = {{{Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction}}}, doi = {{10.1007/s12553-021-00555-5}}, year = {{2021}}, } @article{23675, abstract = {{AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.}}, author = {{Mirbabaie, Milad and Hofeditz, Lennart and Frick, Nicholas R. J. and Stieglitz, Stefan}}, issn = {{0951-5666}}, journal = {{AI & SOCIETY}}, title = {{{Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research}}}, doi = {{10.1007/s00146-021-01239-4}}, year = {{2021}}, } @inproceedings{23708, author = {{Nouri, Zahra and Gadiraju, Ujwal and Engels, Gregor and Wachsmuth, Henning}}, booktitle = {{Proceedings of the 32nd ACM Conference on Hypertext and Social Media}}, pages = {{165--175}}, title = {{{What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing}}}, year = {{2021}}, }