Sentence examples for order dependant from inspiring English sources

Lexical matching is performed using UIMA ConceptMapper, with order dependant lookup, longest contiguous match and a stemmer that removes endings of words longer than three characters.

Rogers et al [ 31] found impairments in ID/ED reversal shifts, while Park et al [ 29] reported order-dependant effects on the TOL.

The permutation test was conducted by changing the orders of dependant variable randomly against the genotypes.

The permutation test was conducted by changing the orders of dependant variable randomly against the genotypes (under the null hypothesis - no association between dependant variable and haplotypes).

Interestingly, postural contamination was also found dependant on presentation order.

In order to determine if HH-SMO-dependant signaling is required in the mature kidney, we also examined Smo−/−UB kidneys at PN30.

The products were characterized by scanning electron microscopy, X-ray diffraction and temperature dependant dark electrical resistivity measurements in order to investigate the effects of substrate on morphology, crystallographic structure and electrical properties of the films.

In order to assess if there is any dose dependant relationship between telomere length and background radiation dose, we have divided the study samples into four groups based on background radiation dose levels i.e., ≤1.50 mGy per year, 1.51 3.00 mGy per Year, 3.01 5.00 mGy per Year and >5.00 mGy per year (as given in table 1, figure 1).

An analysis of the variance was performed in order to determine which measurement parameters have a significant effect on the dependant variable; and a model relating the dependant variable and the measurement parameters was built.

They are dependant on their abilities to learn and remember things in order to find food.

In order to identify these source components, the algorithm seeks a transformation of the dependant multispectral dataset into a set of independent variables which is accomplished by maximizing their non-Gaussianity because, according to the central limit-theorem, statistical independent variables are less Gaussian than their mixed dependent counterparts.