Sentence examples for formula corrected from inspiring English sources

To determine the prevalence of renal failure (RF) in type-2 diabetics and to compare two criteria of definition: that based on the calculation of glomerular filtration by the Cockcroft-Gault formula corrected for body surface area and that based on serous creatinine.

Both the hybrid structures showed improved crystallinity compared with pure ZnO, as confirmed by the improved average crystalline domain size estimated from Scherrer's formula, corrected for stress-related and instrument-related broadenings for large grain (>100 nm) structures, using the full width at half maximum (FWHM) of each spectrum [9, 10].

BMI was calculated using the weight/height2 (Kg/m2) formula, corrected for sex and age, and expressed as BMI SDS, according to Italian reference charts [41].

The final colour value was corrected for differences in light conditions with the help of the reference by using the formula: corrected hue cere = hue cere* mean hue reference/hue reference), where the mean hue reference was calculated over all the images.

Data following RT-PCR was corrected for primer efficiency by applying the formula: Corrected = EfficiencyCt.

Calcium values were corrected for albumin using the formula, (corrected calcium=measured calcium+((40-serum albumin)×0.02)).

This formula corrects for the exponential nature of diversification through the log-transformation [59], [60], is independent of the divergence time and total diversity of the two lineages [61], and can be easily interpreted as proportional differences (log(X)−log(Y) = log(X/Y)).

However, the formula corrects for age that can act as a proxy for muscle mass.

The formula corrects for different sequence lengths and variation in the number of gene copies analysed [ 69, 70].

This formula corrects for any changes seen in the control pond that would presumably also have occurred in the treated ponds in the absence of the intervention.

This formula corrects for variable amplification efficiencies across genes as well as correcting for unwanted sample-to-sample variation (such as RNA quality), but is only an approximation and makes two important assumptions:(i) that the reference gene has the same expression in both samples and (ii) that the amplification efficiency is also the same between the two samples.