Sentence examples for poor transferability of from inspiring English sources

Investigations show that the methods have limited predictive capability and most often poor transferability of fatigue test results for more complex geometries.

All migrants from South-Eastern (former Yugoslavia, Bulgaria, Romania and Greece and Eastern Europee are more likely to be overeducated, which might reflect a poor transferability of Soviet-era qualifications.

One of the dilemmas in current sepsis research is the poor transferability of promising experimental findings.

Unmeasured, large-scale interneighborhood differences were likely factors in the poor transferability of our models.

Species-specific metabolism is the predominant, if not the sole, reason for the poor transferability of data between species for developmental toxicants (Dorne 2010; Voisin et al. 1990; Walton et al. 2001).

7 15 17–20 This has been attributed to a range of coach-delivery factors, players' low adherence to the exercises, a perceived lack of relevance of the programmes to community sport, and poor transferability across implementation contexts.

and Pilosella led us to deduce their poor transferability also to the P. alpicola group; therefore, a new set of markers is developed here.

Note that the relatively lower T-index scores around 0.72 for samples with a score of 1 should be attributed to the apparently worse performance in predicting such samples as shown in Figure 3(c d) rather than poor transferability.

Further study is needed of how methodological artifacts (e.g., study area size, availability, and comparability of GIS data, or monitoring methods), interpretability of covariates, and differences in pollution source or dispersion characteristics contribute to poor transferability.

Although earlier published comparative QTL mapping studies concluded that there was a poor level of transferability of QTLs between populations [ 7, 16], it was expected that at least the strongest fiber QTLs would be confirmed, thus hopefully reducing the number of relevant QTLs [ 43] to a more manageable level from a breeder's perspective.

In addition, Models D and F have poorer transferability, and these two models have the poorest prediction ability in Tables  7 and 8. Development of a risk prediction model for clinical use involves the two stages: 1) model development based on a set of signatures, and 2) model validation with a perspective clinical trial.