Repository for Publications and Research Data

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Boost your skills in research data management!

The ETH RDM Summer School furnishes early-career scientists with a comprehensive understanding of research data management. Following a practice-oriented approach, you will learn the basics and the most important tools and boost your FAIR Data skills. Read more

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Whose data is it, anyway? Research data management today.

Under the motto “whose data is it, anyway?”, the ETH Library and Scientific IT Services will be celebrating their love for data from 10 to 14 February 2025 and jointly providing insight into research data management. Read more

Recently Added 

  1. How robust is your fair model? Exploring the robustness of prominent fairness strategies 

    Small, Edward A.; Shao, Wei; Zhang, Zeliang; et al. (2025)
    Data Mining and Knowledge Discovery
    With the introduction of machine learning in high stakes decision-making, ensuring algorithmic fairness has become an increasingly important task. To this end, many mathematical definitions of fairness have been proposed, and a variety of optimisation techniques have been developed, all designed to maximise a given notion of fairness. Fair solutions, however, tend to rely on the quality of training data, and can be highly sensitive to ...
    Journal Article
  2. Comparative evaluation of radiolabeled bombesin analogs [177Lu]Lu-AMBA and [177Lu]Lu-RM2 for targeting GRPR in glioblastoma model 

    Grzmil M.; Spahn M.A.; Berger P.; et al. (2025)
    Nuclear Medicine and Biology
    Introduction: Radiolabeled agonist ligands bind to and activate target receptors, inducing internalization and delivering radionuclides into the inner cancer cells. In contrast, receptor-bound antagonizing radiopeptides inhibit receptor signaling and remain outside of the cells, but often show more favorable pharmacokinetics. Our head-to-head preclinical comparison of the gastrin-releasing peptide receptor (GRPR) antagonist and the agonist ...
    Journal Article
  3. Determination of the strong coupling and its running from measurements of inclusive jet production 

    Chekhovsky V.; Hayrapetyan A.; Makarenko V.; et al. (2025)
    Physics Letters Section B Nuclear Elementary Particle and High Energy Physics
    The value of the strong coupling α<inf>S</inf> is determined in a comprehensive analysis at next-to-next-to-leading order accuracy in quantum chromodynamics. The analysis uses double-differential cross section measurements from the CMS Collaboration at the CERN LHC of inclusive jet production in proton-proton collisions at centre-of-mass energies of 2.76, 7, 8, and 13 TeV, combined with inclusive deep-inelastic data from HERA. The value ...
    Journal Article
  4. Hydrophilic nano-porous model surfaces suitable for direct force measurements 

    Góra M.; Navascués P.; Alinezhadfar M.; et al. (2025)
    Applied Surface Science
    Molecular-level understanding of liquid–solid interfaces is key to the development of many physical, biological and chemical systems. In this context, functional plasma polymer films (PPFs) offer tunable surfaces ranging from hydrophilic to hydrophobic behavior. In this study, smooth hydrophilic PPFs with average surface roughness below 0.3 nm were fabricated from hexamethyldisiloxane (HMDSO) precursor by varying the substrate-plasma ...
    Journal Article
  5. The amyloid precursor family of proteins in excitatory neurons are essential for regulating cortico-hippocampal circuit dynamics in vivo 

    Harris S.S.; Rajani R.M.; Zünkler J.; et al. (2025)
    Cell Reports
    The amyloid precursor protein (APP) family is ubiquitously expressed in the mammalian brain and implicated in Alzheimer's disease. APP family proteins participate in synaptic function and their absence impairs cognition. However, how these proteins regulate neural circuits and influence brain-behavior relationships remains unknown. Using in vivo two-photon Ca<sup>2+</sup>-imaging and Neuropixels, we show that APP family knockout (KO) in ...
    Journal Article

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