Sentence examples for predict transformation from inspiring English sources

In this study, we demonstrate that a statistical learning approach using three features or material descriptors related to the chemical bonding and atomic radii of the elements in the alloys, provides a means to predict transformation temperatures.

The use of electronic theory to predict transformation products also could be expanded and validated to better characterize contaminant fate.

This study used immunohistochemistry to quantify and analyze expression patterns of E-cadherin in normal oral mucosa, oral epithelial dysplasia and OCSCC N+ to investigate the role of this molecule in oral carcinogenesis and its ability to predict transformation in potentially malignant lesions.

We are unable to comment on the ability of ABCG2 and Bmi-1 to predict transformation of oral dysplasia tissues to OSCC because few of the patients were biopsied more than once, and we are unable to comment upon survival rates for the OSCC patient groups as these data lie beyond our ethical constraints.

PROXIMAL can predict transformations of chemicals that contain substructures recognizable by human liver enzymes.

After obtaining a predicted transformation, the source points are transformed and these steps are performed, iterated until the transformation is negligible.

We have performed a systematic review with pooling of data to assess the evidence for the use of biomarkers in predicting transformation of oral dysplasia into cancer.

The degree of variant selection was determined by comparing the predicted transformation texture during heating and cooling based on the Burgers relationship and the assumption of no variant selection with the measured textures.

Framework for combining the predicted transformation error with other uncertainties was introduced to determine the overall uncertainty in shear strength parameters.

Framework for combining the predicted transformation error with other uncertainties was introduced that can be used to determine the overall uncertainty of shear strength parameters.

The third step ranks the predicted transformation products using available data on the activity and abundance of the enzymes associated with the transformations.