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In many IBA applications the main aim is to obtain quantitative figures characterizing the sample.
In this case, the structural parameters characterizing the sample were as follows: d int = 440 nm, d p = 125 nm and L = 2400 nm.
Preliminary data characterizing the sample populations and describing the pattern of leverage experienced by community mental health and substance misuse patients will be presented.
After characterizing the sample with descriptive statistics, adjusted logistic regression models assessed factors in admission (yes/no) in FY2000, including demographic measures, the indicators of prior neurological conditions, clinical covariates (medical and psychiatric comorbidities) to adjust for between-group differences, and new-onset epilepsy.
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We have rigorously characterized the sample through various characterization tools.
Y.S. and Y.H. characterized the sample with the help of Y.L. and Q.Z.
The first moment, or mean, characterizes the sample's central tendency; it is the sum of observation values divided by the number of observations.
SEM, XRD, TEM, nitrogen adsorption and TGA/DSC were used to characterize the sample.
We characterized the sample in details by SEM, TEM, EDX, FT-IR, XRD, TGA, VSM, and zeta potential.
The data were used to characterize the sample.
Descriptive statistics were generated to characterize the sample.
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