@article{30012,
  abstract     = {{The growing demand for bandwidth and energy efficiency requires new solutions for signal detection and processing. We demonstrate a concept for high-bandwidth signal detection with low-speed photodetectors and electronics. The method is based on the parallel optical sampling of a high-bandwidth signal with sinc-pulse sequences provided by a Mach-Zehnder modulator. For the electronic detection and processing this parallel sampling enables to divide the high-bandwidth optical signal with the bandwidth B into N electrical signals with the baseband bandwidth of B/(2N) . In proof-of-concept experiments with N=3 , we present the detection of 24 GHz optical signals by detectors with a bandwidth of only 4 GHz. For ideal components, the sampling and bandwidth down-conversion does not add an excess error to the signals and even for the non-ideal components of our proof-of-concept setup, it is below 1%. Thus, the rms error for the measurement of the 24 GHz signal was reduced by a factor of about 3.4 and the effective number of bits were increased by 1.8.}},
  author       = {{Meier, Janosch and Singh, Karanveer and Misra, Arijit and Preussler, Stefan and Scheytt, Christoph and Schneider, Thomas}},
  issn         = {{1943-0655 }},
  journal      = {{IEEE Photonics Journal}},
  title        = {{{High-Bandwidth Arbitrary Signal Detection Using Low-Speed Electronics}}},
  doi          = {{10.1109/JPHOT.2022.3149389}},
  volume       = {{14}},
  year         = {{2022}},
}

@book{30102,
  author       = {{Rossel, Moritz Sebastian and Meschut, Gerson}},
  isbn         = {{978-3-86776-631-9}},
  pages        = {{180}},
  publisher    = {{ Europäische Forschungsgesellschaft für Blechverarbeitung e.V.}},
  title        = {{{Methodenentwicklung für die Simulation mechanischer Fügeprozesse mit besonderer Berücksichtigung fügespezifischer Reibverhältnisse}}},
  volume       = {{573}},
  year         = {{2022}},
}

@misc{30152,
  author       = {{Roopa, Rajanna}},
  title        = {{{Evaluation of Algorithms for the Node Capacitated Clique}}},
  year         = {{2022}},
}

@article{26747,
  abstract     = {{Metasurfaces provide applications for a variety of flat elements and devices due to the ability to modulate light with subwavelength structures. The working principle meanwhile gives rise to the crucial problem and challenge to protect the metasurface from dust or clean the unavoidable contaminants during daily usage. Here, taking advantage of the intelligent bioinspired surfaces which exhibit self-cleaning properties, a versatile dielectric metasurface benefiting from the obtained superhydrophilic or quasi-superhydrophobic states is shown. The design is realized by embedding the metasurface inside a large area of wettability supporting structures, which is highly efficient in fabrication, and achieves both optical and wettability functionality at the same time. The superhydrophilic state enables an enhanced optical response with water, while the quasi-superhydrophobic state imparts the fragile antennas an ability to self-clean dust contamination. Furthermore, the metasurface can be easily switched and repeated between these two wettability or functional states by appropriate treatments in a repeatable way, without degrading the optical performance. The proposed design strategy will bring new opportunities to smart metasurfaces with improved optical performance, versatility, and physical stability.}},
  author       = {{Lu, Jinlong and Sain, Basudeb and Georgi, Philip and Protte, Maximilian and Bartley, Tim and Zentgraf, Thomas}},
  issn         = {{2195-1071}},
  journal      = {{Advanced Optical Materials}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{A Versatile Metasurface Enabling Superwettability for Self‐Cleaning and Dynamic Color Response}}},
  doi          = {{10.1002/adom.202101781}},
  volume       = {{10}},
  year         = {{2022}},
}

@misc{30198,
  author       = {{Korzeczek, Sebastian}},
  title        = {{{Aufarbeitung und lmplementierung von DAG-Rider}}},
  year         = {{2022}},
}

@misc{30199,
  author       = {{Nachtigall, Marcel}},
  title        = {{{Hybrid Routing in Three Dimensions}}},
  year         = {{2022}},
}

@article{30209,
  abstract     = {{<jats:p>DNA origami technology enables the folding of DNA strands into complex nanoscale shapes whose properties and interactions with molecular species often deviate significantly from that of genomic DNA. Here, we investigate the salting-out of different DNA origami shapes by the kosmotropic salt ammonium sulfate that is routinely employed in protein precipitation. We find that centrifugation in the presence of 3 M ammonium sulfate results in notable precipitation of DNA origami nanostructures but not of double-stranded genomic DNA. The precipitated DNA origami nanostructures can be resuspended in ammonium sulfate-free buffer without apparent formation of aggregates or loss of structural integrity. Even though quasi-1D six-helix bundle DNA origami are slightly less susceptible toward salting-out than more compact DNA origami triangles and 24-helix bundles, precipitation and recovery yields appear to be mostly independent of DNA origami shape and superstructure. Exploiting the specificity of ammonium sulfate salting-out for DNA origami nanostructures, we further apply this method to separate DNA origami triangles from genomic DNA fragments in a complex mixture. Our results thus demonstrate the possibility of concentrating and purifying DNA origami nanostructures by ammonium sulfate-induced salting-out.</jats:p>}},
  author       = {{Hanke, Marcel and Hansen, Niklas and Chen, Ruiping and Grundmeier, Guido and Fahmy, Karim and Keller, Adrian}},
  issn         = {{1422-0067}},
  journal      = {{International Journal of Molecular Sciences}},
  keywords     = {{Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Computer Science Applications, Spectroscopy, Molecular Biology, General Medicine, Catalysis}},
  number       = {{5}},
  pages        = {{2817}},
  publisher    = {{MDPI AG}},
  title        = {{{Salting-Out of DNA Origami Nanostructures by Ammonium Sulfate}}},
  doi          = {{10.3390/ijms23052817}},
  volume       = {{23}},
  year         = {{2022}},
}

@inproceedings{30222,
  author       = {{Striewe, Marius and Meschut, Gerson and Schmelzle, Lars and Mergheim, Julia and Possart, Gunnar and Steinmann, Paul}},
  booktitle    = {{22. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Experimentelle und numerische Untersuchung des Einflusses variabler Betriebstemperaturen auf das Trag- und Versagensverhalten struktureller Klebverbindungen unter Crashbelastung}}},
  year         = {{2022}},
}

@inproceedings{30229,
  author       = {{Klippstein, Sven Helge}},
  location     = {{Online}},
  title        = {{{Reproducibility in Polymer Laser Sintering}}},
  year         = {{2022}},
}

@inproceedings{30236,
  abstract     = {{Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive
results. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.

To this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of
wireless mobile networks.}},
  author       = {{Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{wireless mobile networks, network management, continuous control, cognitive networks, autonomous coordination, reinforcement learning, gym environment, simulation, open source}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}}},
  year         = {{2022}},
}

@phdthesis{30201,
  author       = {{Fanasch, Patrizia}},
  title        = {{{Governance and Reputation in the Market for Experience Goods}}},
  doi          = {{10.17619/UNIPB/1-1292 }},
  year         = {{2022}},
}

@book{30291,
  abstract     = {{The volume comprises a variety of research approaches that seek to explore and understand employees’ learning and development through and for work. Working life reveals challenges through technological, economic and societal development that can only rudimentarily be addressed by formal education and training. Workplace learning becomes more and more important for employees and enterprises to successfully cope with these challenges.
Workplace learning is a steadily growing field of educational research but it lacks so far a scholastic canon – there is rather a diversity of research approaches. This volume reflects this diversity by bringing together researchers from different countries and different theoretical backgrounds, presenting their current research on topics that all are relevant for understanding presages, processes and outcomes of workplace learning. Hence, this volume is of relevance for researchers as well as practitioners in the field and policy makers.}},
  editor       = {{Harteis, Christian and Gijbels, David and Kyndt, Eva}},
  isbn         = {{9783030895815}},
  issn         = {{2210-5549}},
  keywords     = {{new generation of researchersthe team level of workplace learningindividual level of workplace learningorganizational level of workplace learningsocietal level of workplace learninginterdependent cross-level research approachesWork AgencyWork-life perspectivesTeam learningTeam climateSocial influences on team learningKnowledge construction in teamsLearning cultureAcknowledgement of competencesTechnology and professional learningCreation of a learning eco-systemDiversity as a challenge for organisationsHigher education as preparation for WPLSocial support in networks and professional learningvocational and professional education}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Research Approaches on Workplace Learning}}},
  doi          = {{10.1007/978-3-030-89582-2}},
  year         = {{2022}},
}

@inbook{16296,
  abstract     = {{Multiobjective optimization plays an increasingly important role in modern
applications, where several objectives are often of equal importance. The task
in multiobjective optimization and multiobjective optimal control is therefore
to compute the set of optimal compromises (the Pareto set) between the
conflicting objectives. Since the Pareto set generally consists of an infinite
number of solutions, the computational effort can quickly become challenging
which is particularly problematic when the objectives are costly to evaluate as
is the case for models governed by partial differential equations (PDEs). To
decrease the numerical effort to an affordable amount, surrogate models can be
used to replace the expensive PDE evaluations. Existing multiobjective
optimization methods using model reduction are limited either to low parameter
dimensions or to few (ideally two) objectives. In this article, we present a
combination of the reduced basis model reduction method with a continuation
approach using inexact gradients. The resulting approach can handle an
arbitrary number of objectives while yielding a significant reduction in
computing time.}},
  author       = {{Banholzer, Stefan and Gebken, Bennet and Dellnitz, Michael and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{Non-Smooth and Complementarity-Based Distributed Parameter Systems}},
  editor       = {{Michael, Hintermüller and Roland, Herzog and Christian, Kanzow and Michael, Ulbrich and Stefan, Ulbrich}},
  isbn         = {{978-3-030-79392-0}},
  pages        = {{43--76}},
  publisher    = {{Springer}},
  title        = {{{ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation}}},
  doi          = {{10.1007/978-3-030-79393-7_3}},
  year         = {{2022}},
}

@inbook{30294,
  abstract     = {{With the ever increasing capabilities of sensors and controllers, autonomous driving is quickly becoming a reality. This disruptive change in the automotive industry poses major challenges for manufacturers as well as suppliers as entirely new design and testing strategies have to be developed to remain competitive. Most importantly, the complexity of autonomously driving vehicles in a complex, uncertain, and safety-critical environment requires new testing procedures to cover the almost infinite range of potential scenarios.}},
  author       = {{Peitz, Sebastian and Dellnitz, Michael and Bannenberg, Sebastian}},
  booktitle    = {{German Success Stories in Industrial Mathematics}},
  editor       = {{Bock, H. G. and Küfer, K.-H. and Maas, P. and Milde, A. and Schulz, V.}},
  isbn         = {{9783030814540}},
  issn         = {{1612-3956}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Efficient Virtual Design and Testing of Autonomous Vehicles}}},
  doi          = {{10.1007/978-3-030-81455-7_23}},
  volume       = {{35}},
  year         = {{2022}},
}

@inbook{30289,
  abstract     = {{This chapter presents a discussion of the concept of agency. Agency is understood as a multifaceted construct describing the idea that human beings make choices, act on these choices, and thereby exercise influence on their own lives as well as their environment. We argue that the concept is discussed from three different perspectives in the literature—transformational, dispositional, and relational—that are each related to learning and development in work contexts. These perspectives do not reflect incompatible positions but rather different aspects of the same phenomena. The chapter also offers an avenue of insight into empirical studies that employ agency as a central concept as well as discussions about concepts that closely overlap with ideas of human beings as agents of power and influence.}},
  author       = {{Goller, Michael and Paloniemi, Susanna}},
  booktitle    = {{Research Approaches on Workplace Learning}},
  isbn         = {{9783030895815}},
  issn         = {{2210-5549}},
  keywords     = {{Agency Workplace learning Professional development Proactivity Self-direction}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Agency: Taking Stock of Workplace Learning Research}}},
  doi          = {{10.1007/978-3-030-89582-2_1}},
  year         = {{2022}},
}

@inbook{30290,
  abstract     = {{The article explores the particular quality of changes introduced through the latest wave of digital transformation of workplaces. It has effects on workflow processes, on distribution of work and tasks, and the mode of distributing working tasks, e.g. through cyber-physical systems. Hence, the changes in work are manifold and require changes in vocational education and training as well as in workplace learning. These changes reveal new challenges for research on workplace learning. Finally, conclusions for future workplace learning research will be developed.}},
  author       = {{Harteis, Christian}},
  booktitle    = {{Research Approaches on Workplace Learning}},
  isbn         = {{9783030895815}},
  issn         = {{2210-5549}},
  keywords     = {{Digitalisation Self organisation Distribution of labour Automation}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Research on Workplace Learning in Times of Digitalisation}}},
  doi          = {{10.1007/978-3-030-89582-2_19}},
  year         = {{2022}},
}

@inbook{28991,
  author       = {{Gräßler, Iris and Pottebaum, Jens}},
  booktitle    = {{Design Methodology for Future Products}},
  editor       = {{Krause, Dieter and Heyden, Emil}},
  isbn         = {{9783030783679}},
  publisher    = {{Springer}},
  title        = {{{From Agile Strategic Foresight to Sustainable Mechatronic and Cyber-Physical Systems in Circular Economies}}},
  doi          = {{10.1007/978-3-030-78368-6_1}},
  year         = {{2022}},
}

@inproceedings{30347,
  author       = {{Schafmeister, Frank}},
  booktitle    = {{International Conference on Electric & Electronic in Hybrid and Electric Vehicles and Electric Energy Management (EEHE),}},
  location     = {{Bamberg, Germany}},
  title        = {{{Compensation of LF Common-Mode Noise by the internal DC/DC-Stage for transformerless On-Board Chargers at Three- and Single-Phase Operation}}},
  year         = {{2022}},
}

@inproceedings{30349,
  author       = {{Förster, Nikolas and Rehlaender, Philipp and Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. 37th IEEE Applied Power Electronics Conference (APEC)}},
  location     = {{Houston, TX, USA}},
  publisher    = {{IEEE}},
  title        = {{{An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors}}},
  year         = {{2022}},
}

@inproceedings{30350,
  author       = {{Keuck, Lukas and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM)}},
  location     = {{Nuremberg, Germany}},
  publisher    = {{IEEE}},
  title        = {{{Robust Hysteresis Control for LLC Resonant Converters Using a Fully Isolated Measurement Scheme}}},
  year         = {{2022}},
}

