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The Cu and Zn LMM Auger spectra were corrected using a linear background.
Voltammetric peak and wave heights and potentials were extracted from scan files using a linear background subtraction procedure.
In order to determine the microstress from the Raman spectra, the data was fitted using a linear background correction and the Gaussian peak shape.
Core peaks were analyzed using a linear background, except for the S 2p core peak for which a non-linear Shirley-type background was applied [23].
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The first dimension estimated the risk of an individual practice or morbidity in association with mortality using a linear logistic model by controlling for background risk factors.
In order to quantify the SAXS data, the background scattering was subtracted using a linear baseline, and the diffraction peaks were fitted with a Lorentzian function.
Background before the edge was subtracted using a linear fit to the pre-edge region and spectra were normalized to the postedge step height.
Baselines were fixed using a Shirley background subtraction model and all peaks were fitted using a linear combination of 80% Gaussian and 20% Lorentzian line shapes.
Since some strains were measured in different sets (Table 1), their A4 background means were used to scale greyscale measurements of D and M relative to I using a linear model.
C 1s and Si 2p peak-fitting were performed using synthetic Gaussian Lorentzian components (70 and 30%%) with a linear background subtraction.
Raw data was analyzed using a custom-written computer code in the R-environment (see http://www.r-project.org/), which removed a linear background gradient.
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