Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more

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ETH Research Data Management Summer School 2020

Receive an extensive overview on Research Data Management, its principles, its practical implications and on useful tools for early-career scientists. Read more

Research Collection: Statistics January 2020

Since we have been publishing download statistics, the top 5 countries have always been the same – until January 2020. Read more

Research Collection: statistics 2019

We published the first infographic on the use of the Research Collection in April 2019. This year’s first infographic presents the annual review for 2019. Read more

Recently Added 

  1. Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection 

    Muroi, Carl; Meier, Sando; De Luca, Valeria; et al. (2019)
    Neurocritical Care
    Background: Contemporary monitoring systems are sensitive to motion artifacts and cause an excess of false alarms. This results in alarm fatigue and hazardous alarm desensitization. To reduce the number of false alarms, we developed and validated a novel algorithm to classify alarms, based on automatic motion detection in videos. Methods: We considered alarms generated by the following continuously measured parameters: arterial oxygen ...
    Journal Article
  2. Are respiratory rate counters really so bad? Throwing the baby out with the bath water 

    Ansermino, J Mark; Dunsmuir, Dustin; Karlen, Walter; et al. (2019)
    EClinicalMedicine
    Other Journal Item
  3. CXPlain: Causal Explanations for Model Interpretation under Uncertainty 

    Schwab, Patrick; Karlen, Walter (2019)
    Feature importance estimates that inform users about the degree to which given inputs influence the output of a predictive model are crucial for understanding, validating, and interpreting machine-learning models. However, providing fast and accurate estimates of feature importance for high-dimensional data, and quantifying the uncertainty of such estimates remain open challenges. Here, we frame the task of providing explanations for the ...
    Conference Paper
  4. A self-assembling amphiphilic peptide nanoparticle for the efficient entrapment of DNA cargoes up to 100 nucleotides in length 

    Tarvirdipour, Shabnam; Schoenenberger, Cora-Ann; Benenson, Yaakov; et al. (2020)
    Soft Matter
    To overcome the low efficiency and cytotoxicity associated with most non-viral DNA delivery systems we developed a purely peptidic self-assembling system that is able to entrap single- and double-stranded DNA of up to 100 nucleotides in length. (HR)3gT peptide design consists of a hydrophilic domain prone to undergo electrostatic interactions with DNA cargo, and a hydrophobic domain at a ratio that promotes the self-assembly into ...
    Journal Article
  5. Predicting response rates of all and recruited respondents: A first attempt 

    Schmid, Basil; Axhausen, Kay W. (2019)
    Transport Findings
    This paper reports on the link between a well-defined measure of response burden and response rates among all (uncommitted) and pre-recruited respondents. We show within the limits of our sample of 68 survey waves (including pre-tests; resulting from 35 studies) that the response burden impact is mediated by the level of the commitment of the respondents and the presence of a monetary incentive. This is the first time that a research group ...
    Journal Article

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