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Fit in research data management – workshop series in Autumn Semester 2024

Get yourself and your research project in shape with our research data management workshop programme. You can now register for the Autumn Semester 2024 workshops. Read more

Short and sweet: the “RDM Guidelines” for ETH researches explained

In a series of short videos, we explain the most important aspects of the “RDM Guidelines” quickly and easily – for good scientific practice and FAIR data. Read more

Into the summer with knowledge and caffeine – the Coffee Lectures in June

Can’t see your way through the open access jungle? Tangled up in literature management? Lacking inspiration for your holiday reading? Then come to one of our Coffee Lectures. All you need is 15 minutes. Read more

  

Recently Added 

  1. The impact of vertical model levels on the prediction of MJO teleconnections: Part I-The tropospheric pathways in the UFS global coupled model 

    Zheng, Cheng; Domeisen, Daniela I. V.; Garfinkel, Chaim I.; et al. (2024)
    Climate Dynamics
    This study evaluates the prediction of MJO teleconnections in two versions of the NOAA Unified Forecast System (UFS): prototype 5 (UFS5) and prototype 6 (UFS6). The differences between the two prototypes in the number of vertical layers (64 in UFS5 vs. 127 in UFS6) and the model top (54 km in UFS5 vs. 80 km in UFS6) can potentially impact the prediction of MJO teleconnections. With respect to ERA-Interim, the global teleconnections of the ...
    Journal Article

  2. Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures 

    Muralikrishnan, Sriramkrishnan; Frey, Matthias; Vinciguerra, Alessandro; et al. (2024)
    PROCEEDINGS OF THE 2024 SIAM CONFERENCE ON PARALLEL PROCESSING FOR SCIENTIFIC COMPUTING, PP
    We perform a scaling and performance portability study of the electrostatic particle-in-cell scheme for plasma physics applications through a set of mini-apps we name "Alpine", which can make use of exascale computing capabilities. The mini-apps are based on IPPL, a framework that is designed around performance portable and dimensionality independent particles and fields. We benchmark the simulations with varying parameters, such as grid ...
    Conference Paper

  3. Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients 

    Galbusera, Fabio; Cina, Andrea; O'Riordan, Dave; et al. (2024)
    European Spine Journal
    PurposeThis study aimed to develop machine learning methods to estimate bone mineral density and detect osteopenia/osteoporosis from conventional lumbar MRI (T1-weighted and T2-weighted images) and planar radiography in combination with clinical data and imaging parameters of the acquisition protocol.MethodsA database of 429 patients subjected to lumbar MRI, radiographs and dual-energy x-ray absorptiometry within 6 months was created from ...
    Journal Article

  4. Catalytic pyrolysis mechanism of lignin moieties driven by aldehyde, hydroxyl, methoxy, and allyl functionalization: the role of reactive quinone methide and ketene intermediates 

    Pan, Zeyou; Wu, Xiangkun; Bodi, Andras; et al. (2024)
    Green Chemistry
    The catalytic pyrolysis of guaiacol-based lignin monomers, vanillin, syringol, and eugenol over commercial HZSM-5 has been investigated using operando Photoelectron Photoion Coincidence (PEPICO) spectroscopy to unveil the reaction mechanism by detecting reactive intermediates, such as quinone methides and ketenes, and products. Vanillin shares the decomposition mechanism with guaiacol due to prompt and efficient decarbonylation, which ...
    Journal Article

  5. Sleep and cardiac autonomic modulation in older adults: Insights from an at-home study with auditory deep sleep stimulation 

    Huwiler, Stephanie; Ferster, M. Laura; Brogli, Luzius; et al. (2024)
    Journal of Sleep Research
    The autonomic nervous system regulates cardiovascular activity during sleep, likely impacting cardiovascular health. Aging, a primary cardiovascular risk factor, is associated with cardiac autonomic disbalance and diminished sleep slow waves. Therefore, slow waves may be linked to aging, autonomic activity and cardiovascular health. However, it is unclear how sleep and slow waves are linked to cardiac autonomic profiles across multiple ...
    Journal Article

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