Repositorium für Publikationen und Forschungsdaten

Suchen Sie in der Research Collection der ETH Zürich nach wissenschaftlichen Publikationen und Forschungsdaten oder laden Sie selbst eigenen Forschungsoutput hoch. Weiterlesen

Aktuell 

ETH RDM Summer School 2024 für Nachwuchswissenschaftler:innen

Die ETH Research Data Management Summer School 2024 hat noch einige freie Plätze. Nutzen Sie die Gelegenheit und lernen Sie zwischen dem 10. und 14. Juni 2024 mehr über das Thema! Anmeldung und weitere Informationen

Coffee Lectures – das neue Programm ist da

In nur 15 Minuten: Holen Sie sich nützliche Tools und Themen, die Sie bei Ihrer täglichen Forschungsarbeit unterstützen – in den Coffee Lectures der ETH-Bibliothek. Weiterlesen

Fit im Forschungsdatenmanagement – Workshop-Reihe im Frühjahrssemester 2024

Machen Sie sich und Ihr Forschungsprojekt fit mit unserem Workshop-​Angebot zum Thema Forschungsdatenmanagement. Ab sofort können Sie sich für die Workshops im Frühjahrssemester 2024 anmelden. Weiterlesen

Neueste Publikationen 

  1. Theranostics - a sure cure for cancer after 100 years? 

    Song, Yangmeihui; Zou, Jianhua; Castellanos, E. Alejandro; et al. (2024)
    Theranostics
    Cancer has remained a formidable challenge in medicine and has claimed an enormous number of lives worldwide. Theranostics, combining diagnostic methods with personalized therapeutic approaches, shows huge potential to advance the battle against cancer. This review aims to provide an overview of theranostics in oncology: exploring its history, current advances, challenges, and prospects. We present the fundamental evolution of theranostics ...
    Journal Article
  2. The Impulse Particle-In-Cell Method 

    Sancho, Sergio; Tang, Jingwei; Batty, Christopher; et al. (2024)
    Computer Graphics Forum
    An ongoing challenge in fluid animation is the faithful preservation of vortical details, which impacts the visual depiction of flows. We propose the Impulse Particle-In-Cell (IPIC) method, a novel extension of the popular Affine Particle-In-Cell (APIC) method that makes use of the impulse gauge formulation of the fluid equations. Our approach performs a coupled advection-stretching during particle-based advection to better preserve ...
    Journal Article
  3. Photonics of Hydrothermally Treated β-Lactoglobulin Amyloids 

    Hanczyc, Piotr; Alfarano, Serena Rosa; Bolisetty, Sreenath; et al. (2024)
    Small Science
    Increased temperature and high pressure are applied to beta-lactoglobulin fibrils in the autoclave, resulting in the acquisition of a composite material comprised of partially disassembled amyloid fibrils and carbon dots. Confirmation of the preservation of the beta-sheet motif attributed to amyloids in the hydrothermally treated fibrils is obtained through wide-angle X-ray scattering and ThT assay. Z-scan analysis reveals a two-photon ...
    Journal Article
  4. Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving 

    Bérubé C.; Maritsch M.; Lehmann V.F.; et al. (2024)
    JMIR Human Factors
    Background: Hypoglycemia threatens cognitive function and driving safety. Previous research investigated in-vehicle voice assistants as hypoglycemia warnings. However, they could startle drivers. To address this, we combine voice warnings with ambient LEDs. Objective: The study assesses the effect of in-vehicle multimodal warning on emotional reaction and technology acceptance among drivers with type 1 diabetes. Methods: Two studies were ...
    Journal Article
  5. Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation 

    Hong Z.; Lin J.; Guo S.; et al. (2024)
    EuroSys 2024 - Proceedings of the 2024 European Conference on Computer Systems
    Serverless ML inference is an emerging cloud computing paradigm for low-cost, easy-to-manage inference services. In serverless ML inference, each call is executed in a container; however, the cold start of containers results in long inference delays. Unfortunately, most existing works do not work well because they still need to load models into containers from scratch, which is the bottleneck based on our observations. Therefore, this ...
    Conference Paper

Mehr anzeigen