Ostwestfalen-Lippe University of Applied Sciences and Arts
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Essen retten in a Nutshell : Gestaltung einer Fibel für die Minderung von Lebensmittelverschwendung im Haushalt und Konzeption der zugehörigen Marketingkampagne
Get PDFThema dieser Arbeit ist das Massenproblem Lebensmittelverschwendung, von dem ein Großteil bei den Endverbrauchern, also im Haushalt entsteht. Durch eine qualitative Umfrage und ergän-zende quantitative Recherche wird deutlich, dass es wenige, immer gleiche Gründe für die große Menge an Lebensmittelabfällen gibt. Dazu gehören vor allem fehlende Aufklärung, falsche Lagerung und zu große Einkaufsmengen. Auch die Missinterpretation vom Mindest-haltbarkeitsdatum oder fehlende Wertschätzung von Lebensmitteln, tragen zu dem Problem bei. Die Lösungen bilden hier Aufklärung und Kommunikation zu Problemausmaß und Lösungsansätzen.
Im weiteren Verlauf wird die Fibel „Essen retten in a Nutshell - Ein-fache Tipps um Lebensmittelverschwendung von A-Z zu verringern“ vorgestellt. Das kurze, übersichtliche Nachschlagewerk adressiert eine große Zielgruppe und zeigt mittels Tipps zur richtigen Aufbewah-rung von Lebensmitteln, wie man die Haltbarkeits dieser verlängern kann. Informationen zu lebensmittelschonendem Einkaufen und Kon-servieren sowie Aufklärung über die Problematik der Lebensmittelver-schwendung, runden den Inhalt des Buches ab. Aufgrund des durch-dachten Layouts ist die Fibel nicht nur optisch ansprechend, sondern auch übersichtlich und intuitiv, sodass sie sich als zweckmäßige und
attraktiv Informationsquelle eignet
Role (in-)congruity and the Catch 22 for female executives: how stereotyping contributes to the gender pay gap at top executive level
No full textWe examine to what extent the gender pay gap at top executive level is linked to gender stereotypes, i.e. to societal beliefs about the attributes women and men possess and the roles they ought to perform. We theorize that, even at the highest hierarchical level of an organization, executive functions are gender stereotyped: some (such as IT) are considered typically ‘masculine’, while others (such as human resources) are considered typically ‘feminine’. We argue gender stereotyping at the executive level to be related to pay such that masculine functions are paid more than feminine ones. Referring to role congruity theory, we further argue that women are paid better when they hold less masculine and therefore more role congruous functions. We find supportive evidence for both predictions when studying large European companies across the years 2014 to 2018. Pay data for 353 executives were linked to results of a survey in which participants were asked to rate the masculinity of the areas of responsibility of different executive functions. We find an empirical pattern that reflects a Catch 22 situation in which women executives appear unable to increase their pay by switching to more masculine functions that are, on average, better paid
Produkt- und Prozessinnovationen in der Praxis: Peanut® Core zur werkzeuglosen Verbindung von lisocore® Platten.
No full textProdukt- und Prozessinnovationen in der Praxis: Rotationsreibschweißen mit ganz besonderem Leichtbau-Potenzial.
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Combining NLP, Speech Recognition, and Indexing
No full textThis paper presents the ongoing development of HAnS (Hochschul-Assistenz-System), an Intelligent Tutoring System (ITS) designed to support self-directed digital learning in higher education. Initiated by twelve collaborating German universities and research institutes, HAnS is developed 2021–2025 with the goal of utilizing artificial intelligence (AI) and Big Data in academic settings to enhance technology-based learning. The system employs AI for speech recognition and the indexing of existing learning resources, enabling users to search and compile these materials based on various parameters. Here, we provide an overview of the project, showcasing how iterative design and development processes contribute to innovative educational research in the evolving field of AI-based ITS in higher education. Notwithstanding the potential of HAnS, we also deliberate upon the challenges associated with ensuring a suitable dataset for training the AI, refining complex algorithms for personalization, and maintaining data privacy.In diesem Beitrag wird die laufende Entwicklung von HAnS (Hochschul-Assistenz-System) vorgestellt, einem Intelligenten Tutoring-System (ITS), das selbstgesteuertes digitales Lernen in der Hochschulbildung unterstützen soll. HAnS wurde von zwölf deutschen Hochschulen und Forschungsinstituten initiiert und wird 2021-2025 mit dem Ziel entwickelt, künstliche Intelligenz (KI) und Big Data im akademischen Umfeld zu nutzen, um technologiebasiertes Lernen zu verbessern. Das System nutzt KI für die Spracherkennung und die Indizierung vorhandener Lernressourcen und ermöglicht es den Nutzern, diese Materialien auf der Grundlage verschiedener Parameter zu suchen und zusammenzustellen. Hier geben wir einen Überblick über das Projekt und zeigen, wie iterative Design- und Entwicklungsprozesse zu innovativer Bildungsforschung auf dem sich entwickelnden Gebiet der KI-basierten ITS in der Hochschulbildung beitragen. Ungeachtet des Potenzials von HAnS gehen wir auch auf die Herausforderungen ein, die mit der Sicherstellung eines geeigneten Datensatzes für das Training der KI, der Verfeinerung komplexer Algorithmen für die Personalisierung und der Wahrung des Datenschutzes verbunden sind. (Autor
Mycelion: A wood-mycelium composite-based, experimental pavilion with multiple growth phases
No full textIn a search for more sustainable materials, fungi have proven increasingly effective as a new building material. Mycelium composites are part of this discussion and experimentation. This research discusses the construction of a pavilion in a shell shape made of wooden construction elements filled with mycelium-hemp substrate. This paper explores how the fungus can work in symbiosis with other biomaterials, observing its behavior in two growth phases. The first growth phase took place in a temperature and humidity-controlled lab environment. The second phase was about testing the further growth behavior in an outdoor environment with a relatively wide range of temperature and humidity conditions
Development of Heat Source for Performance Verification of Thermal Management for Double-Sided Cooled SiC-Power Semi-conductors
No full textIn this paper a research process to verify thermal management for double-sided cooled SiC-power semiconductors will be discussed. In the context of previous researches a high performance cooling system for these semiconductors was developed. In many cases, prototypes of power semiconductors are used in research projects. This often leads to the fact that only small numbers are available or that they are not available right from the start. Close cooperation with semiconductor manufacturers, like Infineon Technologies AG in this case, within these projects offers the opportunity to get information about the internal structure of the semiconductors and their packages. This information, the use of special PCB manufacturing methods, as well as thermal simulation are used to build up a heat source that mimics the semiconductor including the package and thus gives us the opportunity to verify the performance of our thermal management for high integrated power electronics
Gradient-based determination of principal design influences on composite structures
No full textOptimization of fiber-reinforced composite structures with nonlinear load-bearing behavior is a complex task that is becoming increasingly relevant in practice. Therefore, it is desirable to automatically determine essential influences on the structural behavior of fiber composite shells and stability-relevant objective functions and constraints in the context of structural optimization. This work deals with a variational approach for the derivation and computation of design sensitivities of elastic solid shell structures, as described in [1], and the extension to anisotropic layered composite structures. Design sensitivities concerning fiber angles and layer thicknesses are derived and quantitatively determined in the context of the finite ele-ment method (FEM). The anisotropic analysis model is founded on [2], in which a sophisti-cated solid-shell formulation based on reduced integration, as described in [3], is extended to discretize the composite with only one element over the whole thickness by means of mul-tiple integration points. This can be understood as a special case of equivalent-single-layer theories (ESLT). Examination of global stiffness and sensitivity matrices using methods from principal component analysis (PCA), such as singular value decomposition (SVD), are used to identify crucial design changes corresponding to major changes in the structural behavior of the composite. Results are discussed by referecne to a chosen numerical example