Sentence examples for a more stable predictor from inspiring English sources
Our results suggest that the amount of practical training is a more stable predictor of vocational identity than dual versus solely school-based training; therefore, we recommend that providing vocational internships can improve learners' identification with their vocation and potentially overcome differences between scholastic learners and apprentices.
Figure 11 plots the predicted daily energy delivered by the solar thermal power plant based on the TMY3 dataset, the cosine adjustment, estimated efficiency, and aperture area (1050 m2), while Fig. 12 gives the monthly total energy output, a more stable predictor.
In Europe, the higher prevalence of diesel passenger vehicles implies that total traffic may itself act as a diesel marker, providing more stable predictors for EC.
Multigenic markers consist of several differentially expressed genes which also form a connected region in protein protein interaction (PPI) networks and proved to be more stable predictors in cross-platform evaluation schemes.
Traffic-related and non traffic-related PM pollutanon traffic-relatede PMedictors of airway inflammation than was NO2.
We found that traffic indicators not reliant on ADT estimates (i.e. roadway lengths) provided more stable predictors in the residential settings in our study.
For aryl-amines, the quantum mechanically derived reaction energy for forming a known reactive intermediate was shown to be a more stable and accurate predictor than statistical models with more descriptors.
In contrast to gene expression, genomic alterations may be a more stable and reliable predictor of the location of driver genes.
In no cases did we detect effect heterogeneity according to PON1 enzyme activity, perhaps because genotype is a more stable, long-term predictor of metabolism potential.
If this fluctuation-immunogenicity hypothesis is a universal aspect of immunogenicity (i.e., immune system recognition of an epitope within a loop is more reliable when it is presented via a more stable delivery structure), then fluctuation measures can serve as one predictor of immunogenicity as part of a computer-aided vaccine design strategy.
