@article{58236,
  abstract     = {{<jats:p>In the engineering of complex technical systems, Systems Engineering (SE) is a key approach that is becoming increasingly relevant in more and more industries due to the ever-increasing complexity of systems. Over the decades of practical application and research, various specializations and forms of the Systems Engineering approach have developed, but there has so far been a lack of an overarching context and positioning in meaningful stages for the introduction of Systems Engineering in companies. For this reason, this research will systematize common Systems Engineering approaches and bring them together in a stage model for Systems Engineering. Based on a systematic literature review, use cases are identified for each approach and stage, which support companies in selecting an approach suitable for their own organization.</jats:p>}},
  author       = {{Gräßler, Iris and Grewe, Benedikt}},
  issn         = {{2079-8954}},
  journal      = {{Systems}},
  keywords     = {{Systems Engineering Transformation, maturity, Systems Engineering stages, approaches, SE}},
  number       = {{1}},
  publisher    = {{MDPI AG}},
  title        = {{{Stages of Systems Engineering: An Analysis and Characterization of Systems Engineering Approaches}}},
  doi          = {{10.3390/systems13010053}},
  volume       = {{13}},
  year         = {{2025}},
}

@inproceedings{62164,
  author       = {{Kuhlmann, Michael and Seebauer, Fritz and Wagner, Petra and Häb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2025}},
  publisher    = {{ISCA}},
  title        = {{{Towards Frame-level Quality Predictions of Synthetic Speech}}},
  doi          = {{10.21437/interspeech.2025-2190}},
  year         = {{2025}},
}

@phdthesis{62167,
  abstract     = {{Diese Dissertation befasst sich mit der Entwicklung eines induktiv-basierten Lokalisierungsverfahrens mittels planarer Spulen, das auf magnetischer Kopplung beruht. Grundlage ist die elektromagnetische Induktion, bei der sich die entstehende Spannung proportional zur Gegeninduktivität verhält. Das Verfahren arbeitet im physikalischen Nahfeld und im Frequenzbereich von einigen kHz bis MHz, um eine effiziente Kopplung ohne Ausbreitung elektromagnetischer Wellen zu gewährleisten. Im Vergleich zu etablierten Verfahren wie GPS oder Ultraschall zeigt die induktive Ortung Vorteile bei kurzer Reichweite, insbesondere durch hohe Genauigkeit im Zentimeterbereich und geringe Materialabhängigkeit. Zudem lässt sie sich in bestehende Technologien wie bei der drahtlosen Energieübertragung integrieren und durch Sensorfusion mit anderen Verfahren kombinieren. Zur Modellierung und Optimierung werden physikalische Eigenschaften von planaren Spulen und EM-Feldern analysiert und elektrische Ersatzschaltbilder eingesetzt. Die geometriebasierte Berechnung der Gegeninduktivität ermöglicht die Entwicklung und Bewertung geeigneter Ortungsalgorithmen. Stochastische Filterverfahren verbessern zusätzlich die Robustheit gegenüber Umgebungseinflüssen. Abschließend wird eine modulare Simulationsplattform vorgestellt, die als Grundlage für die Generierung von Trainingsdaten sowie zur Weiterentwicklung von Mess-, Ortungs- und Filtermethoden dient.}},
  author       = {{Lange, Sven}},
  pages        = {{247}},
  publisher    = {{Universitätsbibliothek Paderborn}},
  title        = {{{Analyse und Modellierung eines induktiven Ortungsprozesses unter Berücksichtigung der elektromagnetischen Wechselwirkungen planarer Spulensysteme}}},
  doi          = {{10.17619/UNIPB/1-2436}},
  year         = {{2025}},
}

@article{61524,
  author       = {{Einwag, Jonathan-Markus and Steinfelder, Christian and Wartzack, Sandro and Brosius, Alexander and Goetz, Stefan}},
  issn         = {{1526-6125}},
  journal      = {{Journal of Manufacturing Processes}},
  pages        = {{179--191}},
  publisher    = {{Elsevier BV}},
  title        = {{{From simulation to metamodel to experiment: Evaluating the prediction accuracy of polynomial regression models for clinch joint properties}}},
  doi          = {{10.1016/j.jmapro.2025.09.059}},
  volume       = {{154}},
  year         = {{2025}},
}

@article{62166,
  author       = {{Prüßner, Tim and Hoyer, Kay-Peter and Buitkamp, Nadine and Vieth, Pascal and Grundmeier, Guido}},
  issn         = {{0254-0584}},
  journal      = {{Materials Chemistry and Physics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Surface functionalisation of additively manufactured AlSi10Mg by organophosphonic acid and PDMS grafting}}},
  doi          = {{10.1016/j.matchemphys.2025.131758}},
  volume       = {{349}},
  year         = {{2025}},
}

@inbook{54774,
  author       = {{Varga, Eva}},
  booktitle    = {{Diskurse und Praktiken der Heterogenität. Pädagogisches Handeln in heterogenen Settings. Mit einem Fokus auf die Elementar- und Primarbildung.}},
  editor       = {{Günesli, Habib and Albers, Timm and Mombeck, Mona M. and Jesuthasan, Jonitta}},
  pages        = {{239--248}},
  publisher    = {{Beltz Juventa}},
  title        = {{{Das Linguistic Soundscaping im Elementarbereich. Ein methodischer Ansatz für die Erfahrung von sprachlicher und sprachbezogener Heterogenität. }}},
  year         = {{2025}},
}

@inbook{62168,
  author       = {{Schlömer, Tobias and Kiepe, Karina}},
  booktitle    = {{Innovation für Nachhaltigkeit durch berufs- und wirtschaftspädagogische Forschung}},
  editor       = {{Schlicht, Juliana and Schwehm, Franziska and Kaiser, Sophie}},
  isbn         = {{978-3-7639-7739-0}},
  pages        = {{299--314}},
  title        = {{{Innovation Hubs und ihre Lernpotenziale für Auszubildende im Rahmen von BBNE}}},
  doi          = {{10.3278/9783763977390}},
  year         = {{2025}},
}

@misc{62175,
  author       = {{Giese, Henning and Schulz, Kim Alina and Sureth-Sloane, Caren}},
  booktitle    = {{Frankfurter Allgemeine Zeitung}},
  number       = {{16}},
  title        = {{{Paragraphen und Künstliche Intelligenz meistern: Welche Steuerprofis Unternehmen suchen. }}},
  volume       = {{261}},
  year         = {{2025}},
}

@misc{62173,
  author       = {{Kokew, Stephan Matthias}},
  title        = {{{Zum Schreiben mit der Hand}}},
  year         = {{2025}},
}

@inproceedings{62181,
  abstract     = {{<jats:p>This research investigates how Artificial Intelligence (AI) can be systematically integrated into existing business processes by combining suitable competencies with graphical AI workflow modelling. While AI offers a high potential for automation and increased efficiency, its implementation often fails due to a lack of interdisciplinary competencies that bridge the gap between domain expertise and IT know-how. Low-code platforms and visual modelling tools are increasingly recognised as enablers, empowering non-programmers to intuitively create graphical AI- based workflows. Nevertheless, specific competencies are required to realise the full potential of AI, the domain specific knowledge and align technical understanding with AI capabilities. The paper reviews the state of the art in AI-driven business process automation and competencies for visual low-code approaches. It then presents a practical solution to identify and systematise essential competence areas. Based on this, a practical competence model is developed to support the design of user-friendly, AI-enabled workflows. This is tested in a practical application context — emergency management — where it supports critical decision-making processes and is validated through expert feedback. The study concludes by offering actionable recommendations to help organisations foster the necessary competencies and methods for competently integrating AI into their digital processes.</jats:p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  location     = {{Split}},
  publisher    = {{AHFE International}},
  title        = {{{Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes}}},
  doi          = {{10.54941/ahfe1006785}},
  volume       = {{198}},
  year         = {{2025}},
}

@book{62182,
  abstract     = {{<p> Executive summary Die vorliegende Zukunftsstudie „Automation 2035“ gibt einen Ausblick auf die Entwicklung der Automatisierungstechnik in den nächsten 10 Jahren. Neben der Beschreibung von Trends wie Kreislaufwirtschaft, Automatisierung der Märkte, Biologisierung, autonome Systeme und Robotik sowie IT-Sicherheit wird die zu erwartende Veränderung in der Bildung beschrieben. Dazu verwenden wir Methoden der Zukunftsforschung und arbeiten mit der Szenarientechnik, um Zukunftsperspektiven der Automation aufzuzeigen. Personas werden eingesetzt, um die zukünftigen Entwicklungen plastisch aus den Augen der Personen im Jahr 2025 und in der Zukunft im Jahr 2035 zu beschreiben. Schlüsselthemen und Trends: ... ... Inhalt Executive summary 1 1 Einführung 3 2 Zukunftsfelder für die Automatisierungstechnik 2035 4 2.1 Kreislaufwirtschaft 4 2.2 Automatisierung der Märkte 7 2.3 Biologisierung 8 2.4 Autonome Systeme und Robotik 10 2.5 Security 12 2.6 Veränderung der Ausbildung 13 3 Szenario der Automation 2035 16 4 Personas 18 4.1 Unternehmer 18 4.2 Ingenieurin 19 4.3 Schüler 20 5 Thesen und Ausblick 22 Methodik 24 Autorenteam 25 Schrifttum 26... </p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz and Tusek, Alena Marie and Bilgic, Attila and Lange, Christian and Stich, Christian and Maul, Christine and Heizmann, Michael and Weyrich, Michael and Dessel,, Sascha and Miny, Torben and Jumar, Ulrich}},
  isbn         = {{9783911670180}},
  publisher    = {{VDI Verlag}},
  title        = {{{Automation 2035}}},
  doi          = {{10.51202/9783911670180}},
  year         = {{2025}},
}

@article{62184,
  abstract     = {{<jats:p>While reservoir computing (RC) networks offer advantages over traditional recurrent neural net- works in terms of training time and operational cost for time-series applications, deploying them on edge devices still presents significant challenges due to re- source constraints. Network compression, i.e., pruning and quantization, are thus of utmost importance. We propose a Compressed Reservoir Computing (CRC) framework that integrates advanced pruning and quantization techniques to optimize throughput, latency, energy efficiency, and resource utilization for FPGA- based RC accelerators.We describe the framework with a focus on HSIC LASSO as a novel pruning method that can capture non-linear dependencies between neurons. We validate our framework with time series classification and regression tasks, for which we generate FPGA accelerators. The accelerators achieve a very high throughput of up to 188 Megasamples/s with a latency of 5.32 ns, while reducing resource utilization by 12× and lowering the energy by 10× compared to a baseline hardware implementation, without compromising accuracy.</jats:p>}},
  author       = {{Jafari, Atousa and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}},
  issn         = {{2980-7298}},
  journal      = {{WiPiEC Journal - Works in Progress in Embedded Computing Journal}},
  number       = {{1}},
  publisher    = {{MECOnet}},
  title        = {{{CRC: Compressed Reservoir Computing on FPGA via Joint HSIC LASSO-based Pruning and Quantization}}},
  doi          = {{10.64552/wipiec.v11i1.99}},
  volume       = {{11}},
  year         = {{2025}},
}

@inbook{62186,
  author       = {{Jafari, Atousa and Platzner, Marco}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031879944}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Ultra-Low Latency and Extreme-Throughput Echo State Neural Networks on FPGA}}},
  doi          = {{10.1007/978-3-031-87995-1_11}},
  year         = {{2025}},
}

@article{61944,
  abstract     = {{his article describes a new student-based approach to Decoding and Disrupting. This approach consists of an educational programme that works with a multidisciplinary group of undergraduate students, so-called Culture Fellows. In the programme, the students learn about theories on disciplinary cultures and their practices, Decoding the Disciplines, and communication. The programme focuses on the implicitness of disciplinary practices and how to explore them, i.e., it seeks to address the importance of making disciplinary practices, norms, and values more accessible to students. Within the programme, the Culture Fellows use a student-based variant of the Decoding the Disciplines Paradigm that we call ‘Culture Quest’. The Culture Quest supplies students with the tools to question, explore, and decode their respective disciplines and practices. Disciplinary practices often remain implicit because lecturers, with their wealth of experience and expertise in their discipline, may be operationally blind and thus no longer aware of the fact that certain practices might need to be explained. This lack of explanation or explicitness can lead to students feeling bewildered, confused or puzzled. The Culture Fellows and in particular the Culture Quest can encourage dialogue about and exploration of disciplinary cultures and their practices and can thus allow students to grasp the implicit cultural norms and expectations within their respective disciplines more clearly. The Culture Fellows and the Culture Quest provide students – and maybe even lecturers – with opportunities to engage with and reflect on teaching and learning strategies and practices.}},
  author       = {{Schmöckel, Sabrina and Scharlau, Ingrid}},
  issn         = {{1918-0853}},
  journal      = {{Transformative Dialogues: Teaching and Learning Journal}},
  number       = {{3}},
  pages        = {{98--115}},
  publisher    = {{Penn State University Libraries}},
  title        = {{{No Student Should Be an Island: A Peer-Approach to Decoding and Disrupting}}},
  doi          = {{10.59236/td2025vol18iss31913}},
  volume       = {{18}},
  year         = {{2025}},
}

@inbook{62205,
  author       = {{Rumlich, Dominik and Matz, Frauke}},
  booktitle    = {{Grenzen, Grenzräume, Entgrenzungen}},
  editor       = {{Kulovics, Nina and Mentz, Olivier and Raith, Thomas}},
  pages        = {{507--508}},
  publisher    = {{wbv}},
  title        = {{{Nachwuchs-Café: Symposium zur interdisziplinären Vernetzung von Doktorand/ innen und Postdocs}}},
  doi          = {{10.3278/9783763977932}},
  year         = {{2025}},
}

@inbook{62202,
  author       = {{Rumlich, Dominik}},
  booktitle    = {{Leistungsmessung, Evaluation und Feedback im Fremdsprachenunterricht}},
  editor       = {{Vogt, Karin and Rossa, Henning}},
  pages        = {{35--41}},
  publisher    = {{Klett Kallmeyer}},
  title        = {{{Reliabilität}}},
  doi          = {{10.5555/9783772717772}},
  year         = {{2025}},
}

@techreport{62208,
  author       = {{Satzinger, Nicole}},
  title        = {{{Lernen in Bewegung: Warum Aktivität für Motivation und Schulerfolg entscheidend ist}}},
  year         = {{2025}},
}

@article{62204,
  author       = {{Schmöckel, Sabrina}},
  journal      = {{die hochschullehre}},
  title        = {{{Hör mal, wer da spricht – Eine dialogische Perspektive auf studentische Äußerungen zu Fachkulturen}}},
  year         = {{2025}},
}

@article{62206,
  author       = {{Noetzel, Ida and Fögen, Yvonne  and Satzinger, Nicole and Miriam, Kehne}},
  journal      = {{sportunterricht}},
  number       = {{9}},
  pages        = {{405--410}},
  title        = {{{Qualifikationen für Bewegung, Spiel und Sport im Ganztag an Grundschulen. Einblicke in Schulen in Nordrhein-Westfalen und Niedersachsen}}},
  doi          = {{10.30426/SU-2025-09-3}},
  volume       = {{74}},
  year         = {{2025}},
}

@article{60847,
  abstract     = {{With the rise of multimodal AI tools, such as DALL-E, Midjourney, or Stable
Diffusion, it has never been easier and faster to produce compelling fashion
images. While the proliferation of AI-generated fashion images can be
seen as the ultimate triumph of the fashion image over both fashion text
and fashionable garments, this paper critically examines how these images
are produced, what exactly they show, and ultimately, how this impacts our
understanding of fashion. Building on current research on multimodal AI,
specifically text-to-image models, I argue that AI-generated fashion images
are produced through textual means, that is, through “operative ekphrasis”
(Bajohr 2024: 83). This means that the generation of fashion images created
via multimodal AI is based on textual prompts that extract statistically
probable images from a latent space, which, in turn, is the result of previously
indexed and labeled image-text pairs. Because the indexing of images
requires a reduction of complexity, images generated through multimodal
AI are often generic. In the case of fashion images, this is reflected in the lack
of texture and the reproduction of fashion photography’s conventions. As
fashion photography is not necessarily a representation of ‘the world’ or even
fashionable garments, it resembles AI-generated images more than other photographic
genres. AI-generated fashion images are then not images of fashionable
garments, but images about fashion images—a statistically probable permutation
of fashion photographs from the past (cf. Meyer 2023: 108). As such,
AI-generated fashion images are not only the product of a mediated collective
imaginary but also feed back into it. The view on fashion shaped by AI-generated
fashion images is then based on reduction and stylized normativity.}},
  author       = {{Brachtendorf, Charlotte}},
  issn         = {{1614-0885}},
  journal      = {{Image: The Interdisciplinary Journal of Image Sciences}},
  number       = {{2}},
  pages        = {{155--168}},
  title        = {{{Possible Fashion Images: Operative Ekphrasis and the Reduction of Fashion Through Multimodal AI}}},
  doi          = {{10.1453/1614-0885-2-2025-16663}},
  volume       = {{42}},
  year         = {{2025}},
}