Sentence examples for prediction of conversion from inspiring English sources

The prediction of conversion requires an appropriate representation of partial segregation of the initiator feedstream.

Furthermore, the determined rate constants were used to validate the model through prediction of conversion in comparison with experimental data under identical conditions.

Moreover, short form models were proposed for the prediction of conversion coke yield and gasoline composition as a function of the main feedstock properties.

The chapter also highlights that the term "kinetics" is generally applied to the equations used to deserve the rate of consumption of reactants and is thus, related to the prediction of conversion performance.

One representative model of each kinetic approach was selected, and parameter estimation was done with reported experimental values in order to establish the capability and accuracy in the prediction of conversion and product yields.

They concluded that, for AD versus CN, whole-brain methods achieved high accuracies (up to 81%% sensitivity and 95%% specificity); for the detection of MCIc, the sensitivity was substantially lower; and for the prediction of conversion, no classifier obtained significantly better results than chance.

A procedure has been suggested for analytical prediction of conversion-time behaviour of gas-solid non-catalytic reactions which are first order with respect to the gaseous reactant but of any general form with respect to the solid species.

Predictions of conversion based on published theoretical reactor models have been compared with the experimental results and it has been found that the model of Raghuraman and Potter suitably modified to account for reaction in the pre-slugging region of the bed gives the closest agreement.

56 In this context of expensive and sophisticated techniques, it should be borne in mind that neuropsychological tests can reveal good predictions of conversion to dementia in experienced hands.

First, prediction accuracies of conversion from MCI to AD can be improved by learning the atrophy patterns that are specific to the different stages of disease progression.

The model gives good predictions of conversions and yields.