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A Pliot Study on Whey Protein Supplementation and Postprandial Blood Glucose in Recreational Athletes (Abstract)
An Empirical Study on Improving SimCLR's Nonlinear Projection Head using Pretrained Autoencoder Embeddings
This paper focuses on improving the effectiveness of the standard 2-layer MLP projection head featured in the SimCLR framework through the use of pretrained autoencoder embeddings. Given a contrastive learning task with a largely unlabeled image classification dataset, we first train a shallow autoencoder architecture and extract its compressed representations contained in the encoder’s embedding layer. After freezing the weights within this pretrained layer, we use it as a drop-in replacement for the input layer of SimCLR’s default projector. Additionally, we also apply further architectural changes to the projector by decreasing its width and changing its activation function. The different projection heads are then used to contrastively train and evaluate a feature extractor following the SimCLR protocol. Our experiments indicate that using a pretrained autoencoder embedding in the projector can not only increase classification accuracy by up to 2.9% or 1.7% on average, but can also significantly decrease the dimensionality of the projection space. Our results also suggest, that using the sigmoid and tanh activation functions within the projector can outperform ReLU in terms of peak and average classification accuracy. All experiments involving our pretrained projectors are conducted with frozen embeddings, since our test results indicate an advantage compared to using their non-frozen counterparts. Index Terms—Image Classification, Contrastive Learning, SimCLR, Pretrained Autoencoder Embeddings
Food upcycling focusing on private households: the potential of food upcycling in rural areas
IntroductionGiven the increasing importance of sustainability and the high levels of food waste, this descriptive, quantitative study explored food upcycling as a potential strategy to reduce waste, focusing on rural households in Germany.MethodsA survey of 228 participants (response rate of 66%) examined the acceptance of food upcycling practices for fruits and vegetables in different age groups.ResultsWhile awareness of food waste is high, practical engagement with food upcycling remains limited. Notably, 51% of respondents was unfamiliar with the term “food upcycling,” although some of them may already be unknowingly apply this practice. Only 6% reported frequent upcycling of fruits and vegetables, while 59 % never do so.DiscussionGenerational trends suggest that older consumers (baby boomers and the post-war generation) are more likely to engage in food upcycling and show greater willingness to adopt and promote it. Younger generations (Gen Z and Gen Y), despite higher familiarity with the term, exhibit more neutral behavior and lower commitment. The results highlight a need for targeted initiatives to bridge the gap between knowledge and practice, especially in rural areas. Future research should include urban comparisons and a greater focus on inter-generational differences to encourage and support broader adoption of sustainable practices like food upcycling
Food upcycling in handwerklichen Käsereien: Entwicklung eines Prozessmodells zur Neuproduktentwicklung am Beispiel von Molkejoghurt
Thermal treatments – a way to reduce nitrogen immobilization in cattail-based growing media?
Klima im Wandel – Winterhärtezonen in Europa neu
Bereits seit dem 19. Jahrhundert werden Pflanzen Temperaturbereichen zugeordnet, die Auskunft darüber geben, welche winterlichen Tiefsttemperaturen von der jeweiligen Art toleriert werden. Für den europäischen Raum wird seit 1984 eine Winterhärtezonenkarte von Woldemar Heinze und Detlef Schreiber verwendet. Die überall spürbaren Klimaänderungen ergeben jedoch die Notwendigkeit für eine Aktualisierung. Eine mit einem Geoinformationssystem (GIS) erstellte, neue Winterhärtezonenkarte mit der aktuellen Referenzperiode 1991–2020 unterteilt erstmals ganz Europa in Halbzonen und berücksichtigt zudem mesoklimatische Effekte
Nachhaltig und transparent : CO2-Fußabdruck von FM-Maßnahmen durch CSRD
Unternehmen sind nach der europäischen Corporate Sustainability Reporting Directive (CSRD) dazu angehalten über ihre CO2-Emissionen zu berichten. Die zugrundeliegende Struktur kann, wenn sie an die Erfordernisse des Facility Management angepasst wird, nicht nur sinnstiftend sein und den bürokratischen Aufwand reduzieren, sondern einen Automatismus zur Feststellung des CO2-Fußabdrucks bei der Instandhaltung, Erneuerung oder Modernisierung implizieren. So kann auch eine Datenbasis für Emissionen verschiedener Maßnahmentypen und Benchmarks für die Vergabe von FM-Dienstleistungen entstehen