@inproceedings{21639,
  abstract     = {{The development of effective business models is an essential task in highly competitive markets like mobile ecosystems. Existing development methods for these business models do not specifically focus that the development process profoundly depends on the situation (e.g., market size, regulations) of the mobile app developer. Here, a mismatch between method and situation can lead to poor resource management and longer development cycles. In software engineering, situational method engineering is used for software projects to configure a development method out of a method repository based on the project situation. Analogously, we support creating situation-specific business model development methods with a method base and new user roles. Here, the method engineer obtains the knowledge of the domain expert and stores it in the method base as elements, building blocks, and patterns. The expert knowledge is derived from a grey literature review on mobile development processes. After this, the method engineer constructs the development method based on the described situation of the business developer. We provide an open-source tool and evaluate it by constructing a local event platform's business model development method.    }},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}},
  booktitle    = {{Enterprise, Business-Process and Information Systems Modeling}},
  keywords     = {{Business Model Development, Situational Method Engineering, Mobile App, Business Model Development Tools}},
  publisher    = {{Springer}},
  title        = {{{Situation-specific Business Model Development Methods for Mobile App Developers}}},
  doi          = {{10.1007/978-3-030-79186-5_17}},
  year         = {{2021}},
}

@article{17744,
  author       = {{Bolenz, Lukas and Fischer, Florian and Toye, Dominique and Kenig, Eugeny}},
  journal      = {{Chemical Engineering Science}},
  title        = {{{Determination of local fluid dynamic parameters in structured packings through X-ray tomography: overcoming image resolution restrictions}}},
  volume       = {{229}},
  year         = {{2021}},
}

@inbook{17905,
  abstract     = {{This chapter concentrates on aspect-based sentiment analysis, a form of opinion mining where algorithms detect sentiments expressed about features of products, services, etc. We especially focus on novel approaches for aspect phrase extraction and classification trained on feature-rich datasets. Here, we present two new datasets, which we gathered from the linguistically rich domain of physician reviews, as other investigations have mainly concentrated on commercial reviews and social media reviews so far. To give readers a better understanding of the underlying datasets, we describe the annotation process and inter-annotator agreement in detail. In our research, we automatically assess implicit mentions or indications of specific aspects. To do this, we propose and utilize neural network models that perform the here-defined aspect phrase extraction and classification task, achieving F1-score values of about 80% and accuracy values of more than 90%. As we apply our models to a comparatively complex domain, we obtain promising results. }},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Natural Language Processing in Artificial Intelligence -- NLPinAI 2020}},
  editor       = {{Loukanova, Roussanka}},
  pages        = {{163----189 }},
  publisher    = {{Springer}},
  title        = {{{Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks}}},
  doi          = {{10.1007/978-3-030-63787-3_6}},
  volume       = {{939}},
  year         = {{2021}},
}

@article{23400,
  abstract     = {{Die Diskussion über die adäquate Besteuerung von „Reichen“ bzw. „Superreichen“ hat durch die Schulden, die im Zusammenhang mit der Coronakrise zu finanzieren sind, neuen Schwung bekommen. Als ein Instrument der adäquaten „Reichenbesteuerung“ gilt eine jährliche Vermögensteuer. Den fiskalischen und verteilungspolitischen Argumenten zugunsten einer Vermögensbesteuerung stehen negative ökonomische Wirkungen entgegen. In diesem Beitrag soll zur Versachlichung der Debatte ein genauerer Blick auf die zu erwartenden Belastungswirkungen einer Vermögensteuer geworfen werden. Dabei wird deutlich, dass die (Wieder-)Einführung der Vermögensteuer nicht nur ungelöste Probleme der Bewertung von Sachvermögen mit sich bringt, sondern die Steuerbelastungswirkungen in der jetzigen Niedrigzinsphase zu erheblichen Nebenwirkungen führen. Berücksichtigt man eine Inflationsrate von 2 %, liegt die zur unternehmerischen Realkapitalerhaltung erforderliche Mindestrendite vor Steuern selbst bei einer lediglich 1 %igen Vermögensteuer mit 5,63 % weit über der Inflationsrate. Dies verdeutlicht, dass eine Vermögensteuer in Zeiten niedriger Renditen für Unternehmen eine zukunftssichernde Eigenkapitalerhaltung oder gar -bildung und zugleich wichtige Investitionen erheblich erschwert. Dies gilt auch für private Anlagen in Aktien und Immobilien. Darüber hinaus ist die Vermögensteuer auch in Verlustperioden zu bezahlen, so dass diese Steuer krisenverschärfend wirkt. Auch dies dürfte erhebliche negative Investitionswirkungen nach sich ziehen. Zudem ist damit zu rechnen, dass die Vermögensteuer zumindest in Teilen überwälzt wird, so dass letztlich auch Verbraucher, Arbeitnehmer und Mieter diese tragen werden. Diese und weitere Nebenwirkungen einer Vermögensteuer kommen in der Vermögensteuerdebatte oftmals zu kurz.}},
  author       = {{Maiterth, Ralf and Sureth-Sloane, Caren}},
  journal      = {{Steuer und Wirtschaft}},
  number       = {{3}},
  pages        = {{201--216}},
  title        = {{{Wiedereinführung der Vermögensteuer – eine ökonomische Analyse}}},
  volume       = {{98}},
  year         = {{2021}},
}

@inproceedings{23402,
  author       = {{Bertling, René and Hack, Mathias and Ausner, Ilja and Horschitz, Bernhardt and Kenig, Eugeny}},
  title        = {{{CFD-basierte Untersuchung von Zweiphasenströmungen in strukturierten Packungen}}},
  year         = {{2021}},
}

@book{23458,
  author       = {{Dumitrescu, Roman and Albers, Albert and Gausemeier, Jürgen and Riedel, Oliver and Stark, Rainer}},
  publisher    = {{Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn}},
  title        = {{{Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering}}},
  year         = {{2021}},
}

@article{23466,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>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 <jats:italic>Watchmen</jats:italic> and <jats:italic>V for Vendetta</jats:italic>, 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.</jats:p>}},
  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     = {{<jats:title>Abstract</jats:title><jats:p>In 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.</jats:p>}},
  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     = {{<jats:p>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.</jats:p>}},
  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     = {{<jats:p>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.</jats:p>}},
  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     = {{<p>Realization of extreme fast charging (XFC, ≤15 minutes) of lithium-ion batteries is imperative for the widespread adoption of electric vehicles.</p>}},
  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}},
}