@article{47804,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The transportation sector is responsible for a relevant share of the total emissions and offers great potentials. It is necessary to implement as many zero-emission mobility systems as possible in the shortest time. For fast ferries, which are a relevant transport manner for a large share of the global population, technical issues could be solved and the successful operation was demonstrated. Up to today high-speed ships have been fully individually designed because physical effects demand for an individual optimisation for each use-case. Specifically for battery electric ships the overall efficiency is crucial to ensure not only an ecological but also economical operation.</jats:p><jats:p>With today's methods the design and production of such an individual designed ferry does take too long. To cover the rising demand, new approaches for mass production need to be established.</jats:p><jats:p>In this paper we describe a method for designing a platform for ships with the example of a battery electric fast ferry. The focus is on the actual modularisation, as other aspects like requirements or results of our example case are published elsewhere and are therefore just included briefly.</jats:p><jats:p>The method is validated on the world's first battery powered high-speed ferry.</jats:p>}},
  author       = {{Seidenberg, Tobias and Disselkamp, Jan-Philipp and Jürgenhake, Christoph and Anacker, Harald and Dumitrescu, Roman and Papanikolaou, Apostolos}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{2905--2914}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Platform Approach for Modularising Battery Electric fast Ferries}}},
  doi          = {{10.1017/pds.2023.291}},
  volume       = {{3}},
  year         = {{2023}},
}

@article{47803,
  author       = {{Cieply, Jonas and Disselkamp, Jan-Philipp and Dyck, Florian and Alturk, Waddah and Kühn, Arno and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{834--840}},
  publisher    = {{Elsevier BV}},
  title        = {{{A systematic literature review on the Digital Twin of the factory in the context of the product and factory lifecycle}}},
  doi          = {{10.1016/j.procir.2023.02.168}},
  volume       = {{119}},
  year         = {{2023}},
}

@article{47801,
  author       = {{Seidenberg, Tobias and Disselkamp, Jan-Philipp and Jürgenhake, Christoph and Grobbel, Daniel and Dumitrescu, Roman and Papanikolaou, Apostolos}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{1158--1163}},
  publisher    = {{Elsevier BV}},
  title        = {{{Development of a modular architecture for complex mechatronic systems}}},
  doi          = {{10.1016/j.procir.2023.02.186}},
  volume       = {{119}},
  year         = {{2023}},
}

@article{47802,
  author       = {{Disselkamp, Jan-Philipp and Cieply, Jonas and Dyck, Florian and Grothe, Robin and Anacker, Harald and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{716--721}},
  publisher    = {{Elsevier BV}},
  title        = {{{Integrated product and production development - a systematic literature review}}},
  doi          = {{10.1016/j.procir.2023.06.198}},
  volume       = {{119}},
  year         = {{2023}},
}

@inproceedings{47805,
  author       = {{Wilke, Daria and Humpert, Lynn  and Mansheim, Johanna  and Anacker, Harald  and Dumitrescu, Roman}},
  booktitle    = {{DS 125: Proceedings of the 34th Symposium Design for X (DFX2023)}},
  publisher    = {{The Design Society}},
  title        = {{{Systems Engineering Potentials and Use Cases for the Offer Phase in Special Purpose Machinery}}},
  doi          = {{10.35199/dfx2023.23}},
  year         = {{2023}},
}

@article{47809,
  abstract     = {{<jats:p>Established companies are increasingly opening their innovation systems to stay ahead of the competition. In this context, collaboration with innovative and agile start-ups are gaining continuously more importance. In the past established companies often used common corporate venturing methods such as incubators, accelerators, or corporate venture capital for collaboration. Compared to these methods the venture client model is relatively new and was invented by BMW employees in 2014. Using the venture client model, established companies become early clients of the start-ups even it is still a venture to do so. Together they carry out a pilot project to develop a proof of concept and validate it under real conditions. If successful, they enter a long-term collaboration to integrate the start-up’s solution into products, processes, or business models of the established company. The aim of this paper is to sum up the current literature and set a foundation for future research on this topic. Therefore, we conduct a systematic literature review. As a result, we provide a definition of the venture client model, describe characteristics, present advantages from the perspective of established companies and start-ups. In addition, we summarize the state of research regarding strategy, process, and organizational structure and for the venture client model. In terms of strategy, future research should elaborate defining elements of a strategy as well as ways to integrate the venture client model into the corporate innovation-ecosystem. Focusing on the process additional research is needed on a venture client reference process and its integration into the corporate’s core processes. Referring to the organizational structure a reference architecture for a venture client unit as well as its positioning within the organization (e.g., innovation management or corporate strategy) should be further investigated.</jats:p>}},
  author       = {{Haarmann, Lennard and Machon, Fabian and Rabe, Martin and Asmar, Laban and Dumitrescu, Roman}},
  issn         = {{2049-1069}},
  journal      = {{European Conference on Innovation and Entrepreneurship}},
  number       = {{1}},
  pages        = {{345--355}},
  publisher    = {{Academic Conferences International Ltd}},
  title        = {{{Venture Client Model: A systematic Literature Review}}},
  doi          = {{10.34190/ecie.18.1.1790}},
  volume       = {{18}},
  year         = {{2023}},
}

@inproceedings{47815,
  author       = {{Kürpick, Christian and Kühn, Arno and Olszewski, Luca and Dumitrescu, Roman}},
  booktitle    = {{2023 IEEE Conference on Technologies for Sustainability (SusTech)}},
  publisher    = {{IEEE}},
  title        = {{{Framework for Dual Transformation: A Systematic Literature Review on the Interplays between Digitalization and Sustainability}}},
  doi          = {{10.1109/sustech57309.2023.10129630}},
  year         = {{2023}},
}

@inproceedings{47807,
  author       = {{Ellermann, Kai and Asmar, Laban and Dumitrescu, Roman}},
  booktitle    = {{ISPIM Conference Proceedings}},
  location     = {{Ljubljana, Slovenia}},
  title        = {{{A Technology Foresight Maturity Model}}},
  year         = {{2023}},
}

@inproceedings{47829,
  author       = {{Brock, Jonathan and Löhr, Bernd and Brennig, Katharina and Seger, Thilo and Bartelheimer, Christian and  von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{ECIS 2023 Proceedings at AIS Electronic Library (AISeL).}},
  location     = {{KRISTIANSAND, NORWAY}},
  pages        = {{256}},
  title        = {{{A process mining maturity model: Enabling organizations to  assess and improve their process mining activities}}},
  year         = {{2023}},
}

@inproceedings{47118,
  author       = {{Möller, Marius Claus and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 40th European Photovoltaik Solar Energy Conference and Exhibition}},
  location     = {{Lisbon, Portugal}},
  title        = {{{Evaluation of the Influence of Different Energy Usage Behavior, Component Dimensionings and PV Orientations on the Suitability and Lifetime of a Hybrid, Hydrogen-Based PV Energy System for a Private Household}}},
  year         = {{2023}},
}

@inproceedings{47119,
  author       = {{Krauter, Stefan and Bendfeld, Jörg}},
  booktitle    = {{Proceedings of the 40th European Photovoltaik Solar Energy Conference and Exhibition}},
  location     = {{Lisbon, Portugal}},
  title        = {{{PV Microinverters: Latest Efficiency Rankings, Energy Yield Assessments, Firmware Issues}}},
  year         = {{2023}},
}

@article{48053,
  author       = {{Hetkämper, Tim and Claes, Leander and Henning, Bernd}},
  issn         = {{2196-7113}},
  journal      = {{tm - Technisches Messen}},
  keywords     = {{Electrical and Electronic Engineering, Instrumentation}},
  number       = {{s1}},
  pages        = {{49--54}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Vorzeichenrichtige tomographische Rekonstruktion von Ultraschallfeldern mit Hilfe der Schlierentechnik}}},
  doi          = {{10.1515/teme-2023-0069}},
  volume       = {{90}},
  year         = {{2023}},
}

@article{48052,
  author       = {{Schäfer, Louis and Günther, Matthias and Martin, Alex and Lüpfert, Mariella and Mandel, Constantin and Rapp, Simon and Lanza, Gisela and Anacker, Harald and Albers, Albert and Köchling, Daniel}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{104--109}},
  publisher    = {{Elsevier BV}},
  title        = {{{Systematics for an Integrative Modelling of Product and Production System}}},
  doi          = {{10.1016/j.procir.2023.06.019}},
  volume       = {{118}},
  year         = {{2023}},
}

@article{47817,
  author       = {{Dyck, Florian and Anacker, Harald and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{912--917}},
  publisher    = {{Elsevier BV}},
  title        = {{{Virtual Assembly for Engineering – A Systematic Literature Review}}},
  doi          = {{10.1016/j.procir.2023.06.157}},
  volume       = {{118}},
  year         = {{2023}},
}

@article{48092,
  author       = {{Pena, Mario and Meyer, Michael and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{0885-8993}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  number       = {{10}},
  pages        = {{12416--12429}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines}}},
  doi          = {{10.1109/tpel.2023.3286713}},
  volume       = {{38}},
  year         = {{2023}},
}

@article{48294,
  abstract     = {{<jats:p>Clinical NLP tasks such as mental health assessment from text, must take social constraints into account - the performance maximization must be constrained by the utmost importance of guaranteeing privacy of user data. Consumer protection regulations, such as GDPR, generally handle privacy by restricting data availability, such as requiring to limit user data to 'what is necessary' for a given purpose. In this work, we reason that providing stricter formal privacy guarantees, while increasing the volume of user data in the model, in most cases increases benefit for all parties involved, especially for the user. We demonstrate our arguments on two existing suicide risk assessment datasets of Twitter and Reddit posts. We present the first analysis juxtaposing user history length and differential privacy budgets and elaborate how modeling additional user context enables utility preservation while maintaining acceptable user privacy guarantees.</jats:p>}},
  author       = {{Sawhney, Ramit and Neerkaje, Atula and Habernal, Ivan and Flek, Lucie}},
  issn         = {{2334-0770}},
  journal      = {{Proceedings of the International AAAI Conference on Web and Social Media}},
  pages        = {{766--776}},
  publisher    = {{Association for the Advancement of Artificial Intelligence (AAAI)}},
  title        = {{{How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications}}},
  doi          = {{10.1609/icwsm.v17i1.22186}},
  volume       = {{17}},
  year         = {{2023}},
}

@inproceedings{48297,
  author       = {{Senge, Manuel and Igamberdiev, Timour and Habernal, Ivan}},
  booktitle    = {{Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks}}},
  doi          = {{10.18653/v1/2022.emnlp-main.496}},
  year         = {{2023}},
}

@inproceedings{48292,
  author       = {{Igamberdiev, Timour and Habernal, Ivan}},
  booktitle    = {{Findings of the Association for Computational Linguistics: ACL 2023}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{DP-BART for Privatized Text Rewriting under Local Differential Privacy}}},
  doi          = {{10.18653/v1/2023.findings-acl.874}},
  year         = {{2023}},
}

@inproceedings{48295,
  author       = {{Bongard, Leonard and Held, Lena and Habernal, Ivan}},
  booktitle    = {{Proceedings of the Natural Legal Language Processing Workshop 2022}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{The Legal Argument Reasoning Task in Civil Procedure}}},
  doi          = {{10.18653/v1/2022.nllp-1.17}},
  year         = {{2023}},
}

@article{48290,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Identifying, classifying, and analyzing arguments in legal discourse has been a prominent area of research since the inception of the argument mining field. However, there has been a major discrepancy between the way natural language processing (NLP) researchers model and annotate arguments in court decisions and the way legal experts understand and analyze legal argumentation. While computational approaches typically simplify arguments into generic premises and claims, arguments in legal research usually exhibit a rich typology that is important for gaining insights into the particular case and applications of law in general. We address this problem and make several substantial contributions to move the field forward. First, we design a new annotation scheme for legal arguments in proceedings of the European Court of Human Rights (ECHR) that is deeply rooted in the theory and practice of legal argumentation research. Second, we compile and annotate a large corpus of 373 court decisions (2.3M tokens and 15k annotated argument spans). Finally, we train an argument mining model that outperforms state-of-the-art models in the legal NLP domain and provide a thorough expert-based evaluation. All datasets and source codes are available under open lincenses at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://github.com/trusthlt/mining-legal-arguments">https://github.com/trusthlt/mining-legal-arguments</jats:ext-link>.</jats:p>}},
  author       = {{Habernal, Ivan and Faber, Daniel and Recchia, Nicola and Bretthauer, Sebastian and Gurevych, Iryna and Spiecker genannt Döhmann, Indra and Burchard, Christoph}},
  issn         = {{0924-8463}},
  journal      = {{Artificial Intelligence and Law}},
  keywords     = {{Law, Artificial Intelligence}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Mining legal arguments in court decisions}}},
  doi          = {{10.1007/s10506-023-09361-y}},
  year         = {{2023}},
}