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This study aims to link the measured displacement data to the quantification of the structural health condition, by validating the feasibility of simultaneous identification of structural stiffness and unknown excitation forces in time domain using output-only vision-based displacement measurement.
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Some of these people may in fact die from conditions related to their cancer or from the late effect of cancer treatment; however, there are currently no data to allow the quantification of these groups.
Third, the methods are selected and fourth the model is calibrated or trained with a subset of the available data to enable quantification in the first place.
In Iran, the trial authors reported a statistically significant reduction but did not provide data to enable quantification of the magnitude or duration of effect (Emami 2009 IRN).
We identified 36 articles, 21 of which were excluded based on inclusion of non-target populations (children in 9 studies; pregnant women in 1 study); insufficient data to allow quantification of the link between HI titre and influenza protection (6 studies); vaccination using live vaccines (3 studies); previously reported data (2 articles).
Huber W, von Heydebreck A, Sultmann H, Poustka A, Vingron M. Variance stabilization applied to microarray data calibration and to the quantification of differential expression.
In addition, to convert the stoichiometric composition data to absolute quantification data, we need an independent method for data calibration.
Kolmogorov-Smirnov normality test (Lilliefor's test) was first applied to the quantification data gathered from the 24 independent transformants that were regenerated per transformed construct (96 in total).
An analysis of the correlations of the first two principal components to the experimental factors (Supplementary Figure S1c, f) indicates that the main directions of variation in the data are not strongly correlated to the quantification method.
Data-worth analysis is targeted to the quantification of the impact of new potential measurements on the expected reduction of predictive uncertainty based on a given process model.
This interdisciplinary approach will allow for the collection of biologically relevant exposure data to increase the potential for quantification of exposure response relationships that will be useful for risk assessment and risk management purposes.
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