@book{34397,
  abstract     = {{Wie werden technische Systeme zeitgemäß entwickelt, die in Komplexität und Anspruch alles bisher Dagewesene übertreffen? Darauf gibt Systems Engineering Antworten. Bisherige Beschreibungen sind für den Maschinenbau aber oft schwer greifbar und zu unkonkret.

Dieses Buch bricht den internationalen Stand der Wissenschaft auf das Wesentliche herunter und beschreibt praxisnah die Kernelemente des Systems Engineering. Eine konkrete Schritt-für-Schritt Anleitung ebnet den Weg für den erfolgreichen Transfer aus der klassischen Produktentwicklung hin zum Systems Engineering. Die Inhalte werden grafisch professionell und bewusst lebendig vermittelt. So wird nicht nur ein fundiertes Systems Engineering-Verständnis geschaffen, sondern auch die Basis für Kommunikation und Umsetzung im Unternehmen gelegt.}},
  author       = {{Gräßler, Iris and Oleff, Christian}},
  isbn         = {{978-3-662-64516-1}},
  publisher    = {{Springer Verlag}},
  title        = {{{Systems Engineering - verstehen und industriell umsetzen}}},
  year         = {{2022}},
}

@inproceedings{34415,
  abstract     = {{Challenges in the development of resource-efficient lightweight designs, such as emission and cost targets in production, lead to an increasing demand for environmentally friendly and fast joining processes. Therefore, cold-forming mechanical joining techniques provide an energy-efficient alternative in comparison to established processes, such as spot welding. However, to ensure a sufficient reliability of the product design, not only the selection of an appropriate manufacturing and joining method, but also the suitable dimensioning and validation of the entire joining process is a crucial step. In this context, thermal processes offer a large number of design principles while mechanical joining methods mainly require extensive experimental tests and the inclusion of expert knowledge. Although few contributions already investigated the data-based analysis of mechanical joints, a system for the requirement- and manufacturing-oriented dimensioning of joining components, such as different profiles and blanks, in combination with the estimation of joint properties is not available yet. Motivated by this lack, this contribution introduces an engineering workbench for the support of design engineers in the early development phases of the knowledge and data-based design of mechanical joining connections using clinching as an example. In this regard, the approach is demonstrated involving a similar material and sheet thickness combination with static loads.}},
  author       = {{Zirngibl, Christoph and Sauer, Christopher and Schleich, Benjamin and Wartzack, Sandro}},
  booktitle    = {{Volume 2: 42nd Computers and Information in Engineering Conference (CIE)}},
  publisher    = {{American Society of Mechanical Engineers}},
  title        = {{{Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections}}},
  doi          = {{10.1115/detc2022-89172}},
  year         = {{2022}},
}

@article{34417,
  abstract     = {{Given strict emission targets and legal requirements, especially in the automotive industry, environmentally friendly and simultaneously versatile applicable production technologies are gaining importance. In this regard, the use of mechanical joining processes, such as clinching, enable assembly sheet metals to achieve strength properties similar to those of established thermal joining technologies. However, to guarantee a high reliability of the generated joint connection, the selection of a best-fitting joining technology as well as the meaningful description of individual joint properties is essential. In the context of clinching, few contributions have to date investigated the metamodel-based estimation and optimization of joint characteristics, such as neck or interlock thickness, by applying machine learning and genetic algorithms. Therefore, several regression models have been trained on varying databases and amounts of input parameters. However, if product engineers can only provide limited data for a new joining task, such as incomplete information on applied joining tool dimensions, previously trained metamodels often reach their limits. This often results in a significant loss of prediction quality and leads to increasing uncertainties and inaccuracies within the metamodel-based design of a clinch joint connection. Motivated by this, the presented contribution investigates different machine learning algorithms regarding their ability to achieve a satisfying estimation accuracy on limited input data applying a statistically based feature selection method. Through this, it is possible to identify which regression models are suitable to predict clinch joint characteristics considering only a minimum set of required input features. Thus, in addition to the opportunity to decrease the training effort as well as the model complexity, the subsequent formulation of design equations can pave the way to a more versatile application and reuse of pretrained metamodels on varying tool configurations for a given clinch joining task.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{2673-2688}},
  journal      = {{AI}},
  keywords     = {{Industrial and Manufacturing Engineering}},
  number       = {{4}},
  pages        = {{990--1006}},
  publisher    = {{MDPI AG}},
  title        = {{{Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels}}},
  doi          = {{10.3390/ai3040059}},
  volume       = {{3}},
  year         = {{2022}},
}

@inbook{33186,
  author       = {{Harmening, Anda-Lisa Martha Josephine Anna}},
  booktitle    = {{Sonderausgabe des Jahrbuchs für internationale Germanistik 2022}},
  title        = {{{Das Leben nehmen oder den Tod geben – Selbstbestimmtes Sterben auf der Schwelle von Utopie zur Realität?}}},
  year         = {{2022}},
}

@book{34450,
  editor       = {{Harmening, Anda-Lisa Martha Josephine Anna and Leinfellner, Stefanie and Meier, Rebecca}},
  isbn         = {{978-3-534-27585-4}},
  pages        = {{352}},
  publisher    = {{wbg Academic}},
  title        = {{{Wissenstransfer als Aufgabe, Herausforderung und Chance kulturwissenschaftlicher Forschung}}},
  volume       = {{1}},
  year         = {{2022}},
}

@book{34453,
  editor       = {{Tönnies, Merle and Voigts, Eckart}},
  publisher    = {{Walter deGruyter}},
  title        = {{{Twenty-First Century Anxieties: Dys/Utopian Spaces and Contexts in Contemporary British Theatre}}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{34452,
  author       = {{Tönnies, Merle and Flotmann-Scholz, Christina}},
  journal      = {{Anglistik: International Journal of English Studies}},
  number       = {{2}},
  pages        = {{ 257--272}},
  title        = {{{Directing Pandemic Attention: Dystopian Corona Narratives and the Nation in British Media and Politics}}},
  volume       = {{33}},
  year         = {{2022}},
}

@article{34454,
  author       = {{Tönnies, Merle and Voigts, Eckart}},
  journal      = {{Twenty-First Century Anxieties: Dys/Utopian Spaces and Contexts in Contemporary British Theatre (CDE Studies)}},
  publisher    = {{Walter deGruyter}},
  title        = {{{Anger, Anxiety and Hope: The Complicit Realities and Engaged/ing Communities of Contemporary Briitsh Dys/Utopian Theatre}}},
  volume       = {{32}},
  year         = {{2022}},
}

@inbook{34467,
  author       = {{Lütje-Klose , Birgit and Grüter, Sandra and Neumann, Phillip and Weber, Antonia and Goldan, Janka and Gorges, Julia and Wild, Elke}},
  booktitle    = {{Qualifizierung für Inklusion. Sekundarstufe }},
  editor       = {{Lutz, Deborah and Becker, Jonas and Buchhaupt, Felix and Katzenbach, Dieter and Strecker, Alicia and Urban, Michael}},
  isbn         = {{978-3-8309-4514-7}},
  pages        = {{163--178}},
  publisher    = {{Waxmann}},
  title        = {{{Weil wir tatsächlich nicht voneinander wussten, was jeder Einzelne so an verborgenen Schätzen bringt}}},
  doi          = {{10.31244/9783830995142}},
  volume       = {{3}},
  year         = {{2022}},
}

@inproceedings{34465,
  author       = {{laeim, Huddad and Schlickriede, Christian and Chaisakul, Papichaya and Chattham, Nattaporn and Panitchakan, Hathai and Siangchaew, Krisda and Zentgraf, Thomas and Pattanaporhratana, Apichart}},
  booktitle    = {{Metamaterials, Metadevices, and Metasystems 2022}},
  editor       = {{Engheta, Nader and Noginov, Mikhail A. and Zheludev, Nikolay I.}},
  publisher    = {{SPIE}},
  title        = {{{Design and investigation of a metalens for efficiency enhancement of laser-waveguide coupling in a limited space system}}},
  doi          = {{10.1117/12.2629789}},
  year         = {{2022}},
}

@article{32578,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>The outcome after ACL reconstruction (ACLR) is in general disappointing with unacceptable number of athletes that do not return to pre-injury level of sports, high re-injury rates, early development of osteoarthritis and shorter careers. Athletes after ACLR have high expectation to return to sports which is in contrast with the current outcomes. The aim of this manuscript is to present an overview of factors that are needed to be incorporated and to personalize the rehabilitation process for an athlete who has undergone an ACLR.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Level of evidence</jats:title>
                <jats:p>4.</jats:p>
              </jats:sec>}},
  author       = {{Gokeler, Alli and Grassi, Alberto and Hoogeslag, Roy and van Houten, Albert and Bolling, Caroline and Buckthorpe, Matthew and Norte, Grant and Benjaminse, Anne and Heuvelmans, Pieter and Di Paolo, Stefano and Tak, Igor and Villa, Francesco Della}},
  issn         = {{2197-1153}},
  journal      = {{Journal of Experimental Orthopaedics}},
  keywords     = {{Orthopedics and Sports Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Return to sports after ACL injury 5 years from now: 10 things we must do}}},
  doi          = {{10.1186/s40634-022-00514-7}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{32361,
  author       = {{Scharfen, Hans-Erik and Lehmann, Tim and Büchel, Daniel and Baumeister, Jochen}},
  issn         = {{1469-0292}},
  journal      = {{Psychology of Sport and Exercise}},
  keywords     = {{Applied Psychology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Cortical responses to sport-specific stimuli in a standing stop signal task}}},
  doi          = {{10.1016/j.psychsport.2022.102250}},
  year         = {{2022}},
}

@article{32449,
  author       = {{Di Paolo, Stefano and Nijmeijer, Eline and Bragonzoni, Laura and Dingshoff, Evelien and Gokeler, Alli and Benjaminse, Anne}},
  issn         = {{1746-1391}},
  journal      = {{European Journal of Sport Science}},
  keywords     = {{Orthopedics and Sports Medicine, Physical Therapy, Sports Therapy and Rehabilitation, General Medicine}},
  pages        = {{1--10}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Comparing lab and field agility kinematics in young talented female football players: Implications for ACL injury prevention}}},
  doi          = {{10.1080/17461391.2022.2064771}},
  year         = {{2022}},
}

@article{34478,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>The outcome after ACL reconstruction (ACLR) is in general disappointing with unacceptable number of athletes that do not return to pre-injury level of sports, high re-injury rates, early development of osteoarthritis and shorter careers. Athletes after ACLR have high expectation to return to sports which is in contrast with the current outcomes. The aim of this manuscript is to present an overview of factors that are needed to be incorporated and to personalize the rehabilitation process for an athlete who has undergone an ACLR.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Level of evidence</jats:title>
                <jats:p>4.</jats:p>
              </jats:sec>}},
  author       = {{Gokeler, Alli and Grassi, Alberto and Hoogeslag, Roy and van Houten, Albert and Lehman, Tim and Bolling, Caroline and Buckthorpe, Matthew and Norte, Grant and Benjaminse, Anne and Heuvelmans, Pieter and Di Paolo, Stefano and Tak, Igor and Villa, Francesco Della}},
  issn         = {{2197-1153}},
  journal      = {{Journal of Experimental Orthopaedics}},
  keywords     = {{Orthopedics and Sports Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Return to sports after ACL injury 5 years from now: 10 things we must do}}},
  doi          = {{10.1186/s40634-022-00514-7}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{34477,
  author       = {{Gokeler, Alli and Grassi, Alberto and Hoogeslag, Roy and van Houten, Albert and Lehman, Tim and Bolling, Caroline and Buckthorpe, Matthew and Norte, Grant and Benjaminse, Anne and Heuvelmans, Pieter and Di Paolo, Stefano and Tak, Igor and Villa, Francesco Della}},
  issn         = {{2197-1153}},
  journal      = {{Journal of Experimental Orthopaedics}},
  keywords     = {{Orthopedics and Sports Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Correction: Return to sports after ACL injury 5 years from now: 10 things we must do}}},
  doi          = {{10.1186/s40634-022-00548-x}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{34475,
  author       = {{Di Paolo, Stefano and Nijmeijer, Eline and Bragonzoni, Laura and Dingshoff, Evelien and Gokeler, Alli and Benjaminse, Anne}},
  issn         = {{1746-1391}},
  journal      = {{European Journal of Sport Science}},
  keywords     = {{Orthopedics and Sports Medicine, Physical Therapy, Sports Therapy and Rehabilitation, General Medicine}},
  pages        = {{1--10}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Comparing lab and field agility kinematics in young talented female football players: Implications for ACL injury prevention}}},
  doi          = {{10.1080/17461391.2022.2064771}},
  year         = {{2022}},
}

@inbook{34292,
  author       = {{Wolters, Dennis and Engels, Gregor}},
  booktitle    = {{Product-Focused Software Process Improvement}},
  editor       = {{Taibi, Davide and Kuhrmann, Marco and Mikkonen, Tommi and Klünder, Jil and Abrahamsson, Pekka}},
  isbn         = {{9783031213878}},
  issn         = {{0302-9743}},
  pages        = {{235--242}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Towards Situational Process Management for Professional Education Programmes}}},
  doi          = {{10.1007/978-3-031-21388-5_16}},
  volume       = {{13709}},
  year         = {{2022}},
}

@inproceedings{34532,
  abstract     = {{<jats:p>This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. It also introduces new benchmarks and their properties within this category and recommends next steps for this category towards next year’s edition of the competition. In comparison with tools on non-probabilistic models, the tools for stochastic models are at the early stages of development that do not allow full competition on a standard set of benchmarks. We report on an initiative to collect a set of minimal benchmarks that all such tools can run, thus facilitating the comparison between efficiency of the implemented techniques. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in Summer 2022.</jats:p>}},
  author       = {{Abate, Alessandro and Blom, Henk and Delicaris, Joanna and Haesaert, Sofie and Hartmanns, Arnd and van Huijgevoort, Birgit and Lavaei, Abolfazl and Ma, Hao and Niehage, Mathis and Remke, Anne and Schön, Oliver and Schupp, Stefan and Soudjani, Sadegh and Willemsen, Lisa}},
  booktitle    = {{EPiC Series in Computing}},
  issn         = {{2398-7340}},
  publisher    = {{EasyChair}},
  title        = {{{ARCH-COMP22 Category Report: Stochastic Models}}},
  doi          = {{10.29007/lsvc}},
  year         = {{2022}},
}

@article{34533,
  author       = {{Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range}}},
  doi          = {{10.1109/tpel.2022.3229619}},
  year         = {{2022}},
}

@unpublished{34524,
  abstract     = {{While trade-offs between modeling effort and model accuracy remain a major
concern with system identification, resorting to data-driven methods often
leads to a complete disregard for physical plausibility. To address this issue,
we propose a physics-guided hybrid approach for modeling non-autonomous systems
under control. Starting from a traditional physics-based model, this is
extended by a recurrent neural network and trained using a sophisticated
multi-objective strategy yielding physically plausible models. While purely
data-driven methods fail to produce satisfying results, experiments conducted
on real data reveal substantial accuracy improvements by our approach compared
to a physics-based model.}},
  author       = {{Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}},
  booktitle    = {{arXiv:2204.12972}},
  title        = {{{Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying
  Non-Autonomous Dynamical Systems}}},
  doi          = {{10.1016/j.ifacol.2022.07.282}},
  year         = {{2022}},
}