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The measure of the relative wealth at death is therefore adjusted for gifts in the following way: mu_{t}^{ast}=(1+v_{t} cdot mu_{t}, where v t represents the ratio of gifts inter vivos, V t, to total bequest flows (left (v_{t}=frac {V_{t}}{B_{t}}right)), and μ t is the unadjusted ratio between average wealth at death and the average wealth of the living.
This is converted into an "MST correction", M, for the UPC by dividing the MST value by N. The total size of the UPC is therefore adjusted by multiplying Naa (the total number of unmasked residues in the UPC) by M. (This is equivalent to the mean number of amino acids per sequence in the UPC, multiplied by the MST-corrected size of the UPC).
By construction, Z2 depends only on augmented dominance effects and is therefore adjusted for all the augmented additive effects whereas in the analysis of the global design, additive effects are controlled only for the QTL that have been detected.
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Weaning weights from the nine flocks with the highest and the nine flocks with the lowest mean weaning weights were therefore adjusted using simple additive, simple multiplicative, or flock-specific multiplicative factors and differences between adjusted weaning weights of single and twin lambs were compared within and between groups of high- and low-performance flocks.
Because the device was calibrated both with simple proportions and by use of the methods of Bayes' Decision Theory, the separation point of the device was therefore adjusted at 12 mm from the distal surface of the second molar.
Our analysis was therefore adjusted to control for the influence of center effects.
The resulting suspensions of CHAT and CuO NPs were at near neutral pH and could be incorporated directly in the gel, but copper chloride solution was still acidic after dilution and was therefore adjusted to pH 7.0 ± 0.2.
Using an equation relating fat content to CT density [31], hepatic SUV was therefore adjusted for the physical 'dilutional' effect of hepatic fat on the FDG signal, as previously described [32].
The strategy was therefore adjusted to search for patient-reported outcomes instruments assessing symptoms associated to hyperglycaemia, to better understand the daily postprandial experience of people with diabetes, and in particular those occurring after an acute hyperglycaemic event.
The model for AGB was therefore adjusted for logarithmic bias according to [56] by adding half of the model mean square error to the constant term before transformation to arithmetic scale.
The magnitudes of the forces applied to the model were therefore adjusted to 75% of the normal estimation [derived from 84].
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