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The proportion of intensity that can be attributed to 'Bragg' reduces to 65% compared with 70% for the 10 µm crystallites.
The intensity is assumed to only come from Bragg scattering in the former, whereas this new theory reduces the proportion of intensity from Bragg scattering to ∼0.75 for 10 µm Si crystallites.
In the IOW birth cohort, after cleaning the DNA-M data, beta values are presented as the proportion of intensity of methylated (M) over the sum of methylated (M) and unmethylated (U) sites (β = M/[c + M + U] with c being a constant to prevent dividing by zero) were used to estimate the effect of DNA methylation [ 32].
The pre-processed DNA-M beta values, presented as the proportion of intensity of methylated (M) over the sum of methylated (M) and unmethylated (U) sites (β = M/[c + M + U] with c being a constant to prevent dividing by zero), were used to estimate the effect of DNA-M [ 20].
After cleaning the DNA-M data, beta values presented as the proportion of intensity of methylated (M) over the sum of methylated (M) and unmethylated (U) sites (β = M/[c + M + U] with c being a constant to prevent dividing by zero) were used to estimate the effect of DNA methylation [ 16].
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They represent the proportions of intensity of methylated (M) over the sum of methylated and unmethylated (U) sites (β = M/[c + M + U] with constant c introduced for the situation of too small M + U).
The proportion of low-intensity residential, high-intensity residential, and industrial/commercial/transportation land uses within 1 km of each location was calculated.
For PM10, distance to road, elevation, proportion of low-intensity residential, high-intensity residential, and industrial, commercial, or transportation land use within 1 km were all statistically significant predictors of measured PM10 (model R = 0.49, CV R = 0.55).
Generalized additive models were used to predict spatial surfaces from monitoring data and GIS-derived covariates (e.g. distance to road, elevation, proportion of low-intensity residential, high-intensity residential, and industrial, commercial land use).
This will also give an estimate of the proportion of the intensity associated with the Bragg condition, compared with that from non-Bragg, for a stationary sample: essentially, the intensity distribution for a specific experimental configuration.
The high total prevalence and the large proportion of high intensity infections that we found indicate that according to WHO criteria regular treatment of schoolchildren in the area is indeed necessary [ 4].
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