Sentence examples for each term after from inspiring English sources

This simplification is justified because the constant trend of our demand model can be translated into a geometric progression a sequence of numbers where each term after the first is derived by multiplying the previous term with a constant rate.

The significance of the fixed factors was evaluated using F-tests caccording according to the principle of marginality, testing each term after all others (i.e. comparing two models differing only in the presence of the tested fixed effect) [ 44].

The top three HF scores within each term category after this filtering were then chosen.

In contrast to many other parliamentary systems, Parliament elects a First Minister from a number of candidates at the beginning of each parliamentary term (after a general election).

The linear model is a multiple linear regression with the intercept forced through the origin where significance of each term is evaluated after accounting for variance attributed to other factors in the model.

The / after each term is the OVID™ MEDLINE convention for a MESH term; the 'exp' abbreviation refers to the automatic expansion of a MeSH term to its sub-headings.

Among these 32 terms, 4 terms under cluster 10, including neurotransmitter receptor activity, neurotransmitter binding, neuropeptide binding, and neuropeptide receptor activity, had significant P-values, which are indicated in the parentheses after each term (Table S14).

with c a ± = c a t 0 ± Δt 2. Replacing all occurrences of c a (t) in Equation 11 by the Taylor series in Equation 9 (neglecting fourth and higher order terms) and executing the integration separately for each term of the series yield after some straightforward but lengthy calculations the following equation: Δ c t = K m 1 + 1 24 Δt τ 2 2 - V r τ 1 1 + 1 24 τ 1 τ 3 Δt τ 3 2 c a 0 · Δt (12).

The statistical significance of main effects and interactions terms in the model was tested by F-tests in an analysis of the deviance (anodev) by looking at the change in deviance caused by the removal of each term from the maximal model after having allowed for over dispersion in the data by calculating heterogeneity coefficients with the Williams algorithm [24], [25].

The statistical significance of main effects and interaction terms in the model was tested with F-tests by analysis of deviance, which involved looking at the change in deviance caused by the removal of each term from the maximal model after having allowed for overdispersion in the data by calculating a variance heterogeneity coefficient with the Williams algorithm (25, 26 ).

The short-term after-cure process increases fatigue strength as well as static strength while the long-term after-cure process degrades the static strength and fatigue life.