Epoxy resins are widely used polymers in the automotive and aerospace fields. Different blends of novel biodegradable resins have been studied in the last years in order to provide sustainability while maintaining the same properties of epoxy resins. Bio-based thermoset resins made with acrylated epoxidized soybean oil are well-studied in different vat polymerization techniques. The present work compares a bio-based resin and a petroleum-based resin. A benchmark with different features was designed and manufactured by a VAT photopolymerization process using both materials; measured with an optical scanning device; thus, the dimensional deviations were analyzed through inspection software. Tensile and flexural specimens were manufactured with the same procedure and tested with a dynamometer machine. Therefore, the comparison between a biodegradable resin and a petroleum-based resin is discussed in terms of the quality and mechanical performances of manufactured parts, considering the use of identical printing conditions. Some parts are required to satisfy both the requirements at the same time, such as the gears. Therefore, dimensional accuracy and mechanical strength need to be controlled and evaluated in a unique final quantification. This work proposes a novelty performance index to quantify dimensional accuracy and mechanical strength simultaneously. By combining the two aspects it is possible to define the overall performance obtained with the used material, optimizing the manufacturing process by choosing the proper material for each purpose.

In spring 2022, we implemented e-portfolios at a product design course for engineers in the bachelor's programme on ‘Sustainable Engineering’ at the University of Applies Sciences, Ansbach. The use of e-portfolios was new to both students and lecturers. To evaluate the effect the e-portfolio had on students, we accompanied the implementation with surveys and interviews. This paper provides a comprehensive analysis of the evaluated results. Among other things, the following three main findings convinced us to continue with e-portfolio work. First, ~91% of the interviewed students felt that they were supported very well by our introduction. Second, ~93% got along well / very well with the functions of the e-portfolio software. Third, ~86% of those interviewed appreciated the freedom of design. Prior to the implementation of e-portfolios in our first test course, we identified the following factors as crucial for the successful implementation of e-portfolios: a comprehensive personal introduction, extensive information material, continuous guidance, clear work instructions, room for flexibility and creativity to foster learners' individual strengths, and exchange between learners and teachers. This paper reflects on these initial factors. The aspects identified for further improvement in the second round of e-portfolios, in the summer of 2023, are better technical preparation of the lecturers, the communication of technical borders in advance, timing of the accompanying e-portfolio workshops and a more comprehensive promotion of teamwork. The suggested modifications will be discussed in detail in this paper.

Students not always enjoy an in-depth practical learning experience with an adequate portion of hands-on during their academic education. In many fields of study, traditional laboratories are common learning spaces that are, however, not accessible 24/7 and, the practical work is mostly pre-defined by the lecturer, resulting in a short and very “passive” active learning. To overcome this limitation and to provide a broader availability and to foster individual learning experience, we aim to transform this analog world into a modern learning and teaching environment using digital technologies and a corresponding digital framework for courses and laboratories. An existing laboratory on prototyping from our university’s bachelor program on sustainable engineering with an extensive machine park consisting of 3D printers, milling machines, lasers and various hand tools is digitized and will finally be linked with the real-world lab. In addition to digitizing the basic process of product development and prototyping as part of students' project works, all additional activities arising in the lab are also transferred from the analog to the digital world. This digitalization is implemented alongside the already existing (partly browser-based) software tools of the individual devices in the e-learning platform Moodle. This results in a digital copy of the lab, its equipment and defined processes – structured in accordance with the established proceedings on product development (such as Pahl/Beitz and VDI 2221). We consider it a digital twin of the work and learning environment, calling it the “digital learning environment twin” of the real-world lab. For the product development process, a course area is available in Moodle with various feedback loops and assessment levels for the individual development steps of the student projects. Through this, students can submit their project plans, design ideas, sketches, CAD-models, manufacturing codes (such as G-codes for 3D printers, laser cutters and carving machines), or “just” request feedback and initiate meetings on technical and/or organizational topics of their product design process, the lab equipment, etc. Also, a safety instruction with instructional videos, PDF documents with hazard warnings and operating instructions as well as a final test (to allow operating the lab equipment) are provided to introduce the students to the lab. In this paper, we will illustrate the overall methodological approach on the established digital learning environment twin of the lab. Furthermore, we will have a detailed view on the challenge of transferring underlying manufacturing process to the digital world and linking them to provide a continuous digital workflow. The paper will be closed with an analysis of feedback (by both students and lecturers) on the pros and cons as well as on the usability of the digital twin of the lab.

Das Metaverse wird immer präsenter in unserem Privat- und Berufsleben: Es bietet Personen unzählige Möglichkeiten der Interaktion. Das Metaverse hat das Potential mehr zu sein als nur eine Ansammlung weiterer sozialer Netzwerke. So entwickeln erste Unternehmen, darunter PwC Deutschland (PwC), Metaverse-Plattformen für ein Arbeitsumfeld der Zukunft. Mit dieser rapiden Entwicklung entstehen allerdings auch neue Herausforderungen, insbesondere mit Blick auf potenzielle Straftaten im virtuellen Raum.

Bezüglich des Hinweisgeberschutzgesetzes (HinSchG) stellt sich die Frage, ob Unternehmen sich bereits jetzt Gedanken über die Implementierung von Meldekanälen im Metaverse machen sollten, um potenziellen Straftaten proaktiv aufzudecken und Schäden für ihr Unternehmen rechtzeitig zu minimieren.
Der folgende Beitrag beleuchtet die Bedeutung des Hinweisgeber-Managements im Metaverse.

Knowledge Science beschäftigt sich mit Konzepten, Methoden und Prozessen zur systematischen Erzeugung, Extraktion, Speicherung und Bereitstellung von Wissen zur Lösung von Problemen und lässt sich somit dem Wissensmanagement zuordnen. Kognitive Assistenten sorgen dafür, das richtige Wissen zur richtigen Zeit in der richtigen Art und Weise seinen Anwendern und Anwenderinnen bereitzustellen. Damit dies gelingen kann, kommen inzwischen zahlreiche Methoden der Künstlichen Intelligenz (KI) zur Unterstützung unterschiedlicher Aufgaben des Wissensmanagements zum Einsatz.

In recent years multi-material Additive Manufacturing gained more interest as new applications were found in domains such as bioengineering, soft robotics and actuators, electronics and many more. Fused Filament Fabrication (FFF) is one of the most used AM technologies for multi-material 3D printing due to relatively low-cost equipment and a large variety of thermoplastic materials. Even so, issues are still to be solved regarding the adhesion mechanisms at the level of bond interface, especially for dissimilar materials. Therefore, this paper aimed to identify influencing factors over the printing process of multi-material parts at the interface level. The influencing factors were determined using a literature review and Cura slicing tool user guide and systematised using a cause-effect diagram. The main domains of influence are Materials bonding, Printing equipment, Model geometry, and Method of printing and processing. These domains were further split into more specific factors and discussed based on their influence over multi-material interface printing.

A new topology based feature extraction method for classification of interictal epileptiform discharges (IEDs) in EEG recordings from patients with epilepsy is proposed. After dimension reduction of the recorded EEG signal, using dynamical component analysis (DyCA) or principal component analysis (PCA), a persistent homology analysis of the resulting phase space trajectories is performed. Features are extracted from the persistent homology analysis and used to train and evaluate a support vector machine (SVM). Classification results based on these persistent features are compared with statistical features of the dimension-reduced signals and combinations of all of these features. Combining the persistent and statistical features improves the results (accuracy 94.7 %) compared to using only statistical feature extraction, whereas applying only persistent features does not achieve sufficient performance. For this classification example the choice of the dimension reduction technique does not significantly influence the classification performance of the algorithm.

Mit dem steigenden Forschungsinteresse im Gebiet Conversational Artificial Intelligence entsteht das Potenzial für neue Einsatzszenarien. Währenddessen legt die Tatsache, dass über die Hälfte aller Software-Projekte nicht erfolgreich fertiggestellt werden können, einen Handlungsbedarf nahe. Das Projekt-Reporting stellt dabei ein Werkzeug dar, um kontinuierlich den Status eines Projektes zu prüfen, um so frühzeitig auf ein mögliches Scheitern aufmerksam zu machen. Ziel der vorliegenden Arbeit ist die Untersuchung von Anwendungsgebieten von CAI im Projekt-Reporting sowie darauf aufbauend die Darstellung eines neuen Projekt-Reporting-Ansatzes. Der Einsatz von CAI eignet sich dabei im Wesentlichen für die Aufgaben der Datenerfassung sowie -analyse und -bereitstellung im Projekt-Reporting. Somit kann der Ablauf eines Projekt-Reporting-Prozesses mittels verschiedener Methoden der CAI automatisiert und letztendlich durch die Realisierung von Arbeitserleichterung optimiert werden.

Angesichts des demografischen Wandels, im Speziellen des Ausscheidens der Babyboomer-Generation in den Altersruhestand, nimmt die Sicherung des Erfahrungswissens langjähriger Mitarbeitender an Bedeutung zu. Unter anderem stellt Expert Debriefing mit einem Prozessbegleiter hierfür einen Baustein der Lösung dar. Die personellen Unterstützungsleistungen bedeuten jedoch nicht unerhebliche Aufwände. In diesem Beitrag wird daher untersucht, wie ein kognitiver, wissensbasierter Assistent einen Wissensträger innerhalb dieses Prozesses der Wissensdokumentation ohne die Einbeziehung eines Prozessbegleiters unterstützen kann. Damit soll angesichts des zunehmenden Risikos des drohenden Wissensverlusts eine kosteneffiziente Skalierung der Wissenssicherung ermöglicht werden. Dazu werden insbesondere ein hochstrukturiertes Prozessmodell, ein Knowledge Graph für Expert Debriefing, entsprechende Leitfragen und Checklisten, Fragestrukturen sowie weitere Automatisierungspotenziale auf der Basis von Text Mining vorgestellt. Ferner werden die Herausforderungen bei der Hebung des impliziten Erfahrungswissens und bei der Mensch-Maschine-Kommunikation fokussiert.

Mit dem steigenden Forschungsinteresse im Gebiet Conversational Artificial Intelligence entsteht das Potenzial für neue Einsatzszenarien. Währenddessen legt die Tatsache, dass über die Hälfte aller Software-Projekte nicht erfolgreich fertiggestellt werden können, einen Handlungsbedarf nahe. Das Projekt-Reporting stellt dabei ein Werkzeug dar, um kontinuierlich den Status eines Projektes zu prüfen, um so frühzeitig auf ein mögliches Scheitern aufmerksam zu machen. Ziel der vorliegenden Arbeit ist die Untersuchung von Anwendungsgebieten von CAI im Projekt-Reporting sowie darauf aufbauend die Darstellung eines neuen Projekt-Reporting-Ansatzes. Der Einsatz von CAI eignet sich dabei im Wesentlichen für die Aufgaben der Datenerfassung sowie -analyse und -bereitstellung im Projekt-Reporting. Somit kann der Ablauf eines Projekt-Reporting-Prozesses mittels verschiedener Methoden der CAI automatisiert und letztendlich durch die Realisierung von Arbeitserleichterung optimiert werden.

Research in musical interaction has been widely addressed in recent years. The term “musical expression” plays a key role in this field of research as the name of the biggest scientific conference in musical interaction “New Interfaces for Musical Expression” (nime.org) already shows. While in music and musicology the assumption is often found that mind and body act co-presently in musical performance, the research scene of music interaction essentially finds approaches that leave the mind more or less aside when models of interaction are developed, although the term "musical expression" can very well be assigned to the mind. While a huge number of musical interface development research projects have been done worldwide (Fasciani & Goode, 2021), research outcome of this scene had nearly no impact on the products musicians nowadays buy and use in their daily musical practice (Poepel & Juergens, 2022). The question arises which could be the reasons for such fruitlessness.

This paper presents an analysis of common music interaction research strategies and their assumed foundations. It shows requirements commonly found in the development of musical interfaces. It further presents understandings of music given by well-known musicians and draws conclusions which requirements for musical interaction come up facing these understandings of music and music making. The differences in the requirements of both sources are contrasted. With respect to the Whiteheadian fallacy of misplaced concreteness, these differences are analyzed. In addition, the possible meaning of the Whiteheadian findings for the general research field of musical interaction is discussed.

While the research outcome of musical interface design for the music technology market was rather small, simple music interfaces like MIDI keyboards and further digital sound generators connected to them as well as digital audio workstations are very commonly used in daily musical creative practice. The theories and models implemented in such devices could be classified as related examples of misplaced concreteness according to Whitehead. Nevertheless, these devices are used by many musicians. But the way of making music and the music itself, which is then created, is changing. This is shown by concrete little examples of making music and it is further discussed in a speculative manner.

With respect to the Whitehedian fallacy of misplaced concreteness and its possible meaning for musical interaction design, conclusions for the general area of human-computer interaction are drawn.

References:

Fasciani, S; Goode, J. (2021). 20 NIMEs: Twenty Years of New Interfaces for Musical Expression. In Proceedings of the International Conference on New Interfaces for Musical Expression (NIME 2021), Singapore.

Poepel, C.; Juergens, E. (2022). On Overcoming the Gap between Industry and Academic Research in the Field of Music Technology, Proceedings of the 4th International Conference Business Meets Technology, Ansbach.

Current research on entrepreneurial ecosystems focuses on conceptual frameworks as well as the characteristics of individual elements and actors. Yet, ecosystems require the contributions of different actors (such as successful entrepreneurs) to become self-sustaining. This study sheds light on the questions of how and why entrepreneurs contribute to the development and reproduction of their entrepreneurial ecosystem. Applying a qualitative, inductive approach, a data sample of 32 semi-structured interviews with startup entrepreneurs from Germany was examined. The analysis reveals, that, amongst the personal traits of entrepreneurial passion and altruism, a perceived affiliation, reciprocity with and gratitude to the entrepreneurial ecosystem and its actors, influenced by antecedent experiences and relationships, are the core predictors for contribution activities such as mentoring, peering, or passing on experiences. These empirical insights are synthesized in a dynamic model, which adds further theoretical grounding to research on causal mechanisms and microfoundations in entrepreneurial ecosystems.