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Section 2 covers data and methods, where we detailed the database and define the measures we applied.
To reduce the bias arising from the use of self-report measures, we applied the social desirability scale (Ferrando & Chico, 2000), with no correlation being found with virtual empathy (Rho = .133; p ≤ .01), thereby demonstrating that responses were not biased by social desirability.
For correcting on multiple measures, we applied FDR correction.
To provide sufficient spatial resolution to the EEG measures, we applied a dense array EEG (dEEG) technology, with 256 recording channels distributed over the head surface allowing source localization of the electrical responses to at least sublobar accuracy [14].
Since we had an unbalanced design of repeated measures, we applied mixed linear models.
By all measures we applied JL5 is an outlier, with immunomic features arising from a small number of amino acid changes that distinguish it from other virus strains.
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While clearly interrelated, each of the measures we apply in this study captures a distinct way in which an area participates in the structure of the whole network.
To provide a simple quantitative measure we applied the trace distance measure between the simulated and ideal process matrix, where and is the trace norm.
Using this new interest measure we applied Euclidean distance to find the country (c_{2}) with the closest pi vector to another country (c_{1}) (Table 2).
To investigate the statistical significance of time-varying coherence measure, we apply the bootstrap method [28] with 500 resamples and significance level.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com