Sentence examples for form predictors from inspiring English sources

We apply the different bed form predictors to estimate the suspended sediment concentration distributions based on the 1D advection diffusion equation and the bed-form-enhanced shear stress, which includes the flow contraction effect according to Nielsen [Coast. Eng. 10 (1986) 23].

In this paper, we study the effect of bed forms on suspended sand concentrations and we compare three existing bed form predictors to field and laboratory measurements over a wide range of conditions and propose a new predictor that better collapses the measured bed form dimensions.

In this paper, we identify a series of discriminative gene clusters by running clustering and feature selection processes iteratively, where the centroids of the clusters are used to form predictors.

This ROI was chosen not only to ascertain whether effects of semantic, action-related, and/or word form predictors appear in IFG but also to determine whether activation in picture naming spreads from posterior to frontal brain regions within approximately 100- to 200-ms time interval.

Interestingly, it does not make much difference which bed form predictor is implemented but more whether a bed form predictor is implemented.

Predictions of suspended sand concentration improve when including a bed form predictor.

However, the choice of a particular bed form predictor is more important when the bed form effect in the sand transport model is based a roughness length scale ks and thus on η2/λ instead of η/λ, where ks is Nikuradse's equivalent roughness length scale, η is the bed form height and λ is the bed form length.

There are converging findings suggesting early activation of word forms near the cortical regions where effects of the Word Form predictor were observed.

Furthermore, effects of frequency and phonological neighborhood 2 of the variables included in the Word Form predictor had their loci in posterior temporal areas in fMRI investigations of picture naming (Graves et al. 2007; Wilson et al. 2009; Peramunage et al. 2010), thus in close proximity to the middle temporal area where effects of the Word Form predictor appeared in MEG.

The time of this word frequency effect is close to the time point where we found that of our Word Form predictor, a composite variable that also included word frequency.

Because word length and neighborhood size are strongly correlated with word frequency (rs = −0.51 and 0.46, respectively), log-transformed frequencies (from CELEX, Baayen et al. 1993 ) were also included in the PCA that yielded the Word Form predictor.