Sentence examples for order was evaluated using from inspiring English sources

Phylogenetic trees were generated, and the consistency of branching order was evaluated using SEQBOOT, DNADIST, NEIGHBOR, and CONSENSE modules of the Phylogeny Inference Package (V3.52c).

Membrane order was evaluated using the fluorescent probe 6-dodecanoyl-2-dimethylaminonapthalene (Laurdan) (Roche, UK).

Existence of spatial autocorrelation (disease clustering or second-order effect) was evaluated using a difference between K-functions [ 36] for PCVAD-positive and PCVAD-negative herds [D s)] [ 37].

The order of markers was evaluated using the functions flips and chrompic in CRI-MAP.

For every protein phylogeny and site in the corresponding MSA, the change of state (order vs. disorder) was evaluated using parsimony as implemented in GLOOME (Cohen et al. 2010) and normalized by the number of nodes in each phylogeny.

The main effects and binary, ternary and quaternary interaction effects were determined and the significance of effects was evaluated using normal order score and multifactor ANOVA.

The influence of these three regressors on the four dependent variables, i.e., chemical oxygen demand (COD), total phenols (TP), color and aromaticity removals was evaluated using second-order polynomial multiple regression model.

For each increment of loads used for the prescribed loading configuration, the second-order displacements were evaluated using the flexural stiffness of each element and a two-dimensional frame analysis procedure.

Common functions used to describe dichotomous covariate effects are shown below: Polychotomous covariates such as race (which have no inherent ordering) can be evaluated using a different factor for each classification against a reference value or may be grouped into two categories depending on results of visual examination of the covariates.

Independently of their size, these approximate second-order Gaussian derivatives are evaluated using integral images, significantly speeding up the whole process.

Because of the large number of third- and higher-order interactions, these were evaluated using a stricter p<0.01 criterion.