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By integrating Equation 11 with respect to the product variable v inside the contour integral, and separating out those terms in v only, we have T = ∫ 0 v t v - β s ′ dv = t v t - β s ′ β 1 β - s ′, (25).
For CDSs where one of the annotations had a hypothetical protein designation for the product variable but the other annotation had a more meaningful designation for this same variable, the hypothetical protein designation was discarded.
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It was used to understand and illustrate the impact of the product variables and their interactions on metabolic response parameters.
Another PLS regression analysis was then performed on the four glycaemic response parameters including the product variables selected in the first step and all the possible interactions between them, including the quadratic terms of the variables.
Here, the main contributors to the model built over the full range of the biscuits characteristics were SDS, fibres and fat with contributions of 17·4, 15·9 and 13·7 %, respectively (Table 2).> -wrap-foot> The same PLS approach was followed to select the product variables impacting the insulinaemic response parameters.
For example, although the products and startups variables are strongly correlated (0.6939), the present analysis finds a commensal relationship in which the startups variable exerts a beneficial effect on the products variable, but not one in which the reverse is true.
The analyses of the relation between the WG product variables and colon or rectal cancer rates were based on the Cox proportional hazard model (including time-dependent variables) using age as the time axis to ensure that the estimation procedure was based on comparisons of individuals at the same age, which allowed for age adjustment to prevent confounding by age.
The model developed for insulinaemic response parameters including the three product variables (fat, fibres and SDS) and the five interactions (fibres, fat, SDS, fat × fibres and fat × SDS) explains 43·3%% of the four insulinaemic descriptors considered together.
In these categorical analyses, the WG product variables were categorised into quartiles based on the distribution among cases (men and women, colon and rectal cancer cases combined).
Relatively few on-line measurements and frequent disturbances often result in a significant amount of variability in the product quality variables for this system.
If variables are discrete, mathematic expectation is the sum of the product of variables and their probability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com