Sentence examples for standardized transformation from inspiring English sources

Results show the grape grower are positively influenced by an organizational culture of winemakers based on flexibility and not standardized transformation processes then facilitating the planting choices and assuring the health of cuttings.

While several protocols for genetic transformation had been reported for this species [ 14, 21– 23]; an efficient standardized transformation system is not yet available for the species [ 24].

It is important to reinforce that a standardized transformation of a source database does not remove the need for researchers to have a complete understanding of the underlying data.

The INR - a standardized transformation of the prothrombin time to assess the degree of anticoagulation [ 3]- is used by the ACs to determine the needed dosage of oral anticoagulants to correct the prothrombin time.

The prerequisites include image standardization (of gray value range, distribution, magnification in relation to object measurements, etc)., detection of regions of interest (ROI), standardized image transformation procedures, and sophisticated statistical algorithms of flexible and self-learning classifiers.

The association of facial characteristics with visceral obesity was determined by binary logistic regression in which differences between normal subjects and viscerally obese subjects were examined after applying standardized data transformation.

Prior to correlation and regression analyses, selected metric phenotypic variables were standardized by Blom transformation [ 55].

Raw scores were standardized by linear transformation so that the final scores were in the range of 0 –100.

For interpretability, each of the outcome variables was standardized (after statistical transformation, if applied) such that the SD and the variance were equal to one.

The Kolmogorov Smirnov normality test was applied; as the values of miRNA expression displayed a non-normal distribution, data were standardized by log10 transformation.

For interpretability, each of the outcome variables was standardized (after statistical transformation, if applied) such that both the SD and the variance were equal to 1. Thus, each regression coefficient provides an estimate of the effect in terms of a change in SD of the response variable.