Sentence examples for predicted trait from inspiring English sources

Study 1 (N = 326) examined the role of trait AP, worry, and rumination in predicting symptoms of social anxiety, depression, and trait anxiety and found that all three RNT styles predicted social anxiety, but only worry predicted trait anxiety and only rumination predicted depressive symptoms.

After this adjustment, the trait population mean was added to the observations to obtain predicted trait values.

We found that GEMOT's predicted trait pairs were supported by the best-correlated transcripts across a wide range of trait trait correlations.

We estimated MB-OPLS models for each of the 17 traits and diagnosed their predictive performance using the squared correlation coefficient between the true and the seven-fold cross-validation (CV) predicted trait data, r CV 2. We furthermore calculated the empirical P-value PCV that assesses the probability of observing an equal or higher r CV 2 given randomized data.

For each model, the correlations between observed and predicted trait values were standardized by dividing the average correlation estimates across the five folds by the square root of the heritability on a line mean basis estimated for that trait in the 201 lines.

Of predicted traits, only that for fillet weight showed a heritability with the potential of utilising the information on the selection candidate itself (h2 = 0.10).

In Fig. 3, a screenshot of the application is shown which depicts how, at a random video frame, the 16PF predicted traits compare with the results obtained from filling in the 16PF questionnaire.

Similarly to the intra-subject methodology, when the samples acquired in the controlled scenario are used for both training and testing, the maximum time needed to compute the 16PF predicted traits was 33 s, while when samples acquired in random scenarios are used, the time to converge is 12 s higher.

We found that PMC deactivations predicted traits related to egocentricity and mPFC deactivations predicted traits related to decision-making.

When we applied the genomic selection models, the accuracy of predicted traits increased with spatial adjustment.

Of the 18 strongly predicted traits (i.e., <25% or >75% probability), 15 were correct, with only one false positive and two false negative predictions.