Sentence examples for considerably less negative from inspiring English sources

It can be also seen from Figs. 6a and 10 that the values of ζ for Ti foil are the most negative and considerably less negative for NTs 15 and 100 nm.

The hexagonal low-temperature phase (δ-Ta2O5), the monoclinic structure, as well as the Lehovec structure show considerably less negative energies of formations with Ef = −3.020, −2.962 and −2.947 eV atom−1, respectively, and hence they are significantly less favorable.

In comparison to these highly conserved orthologs which mediate the core cellular processes, we detect evidence of considerably less negative selection acting on orthologs associated with transmembrane receptors, apoptotic signals, guanyl-nucleotide exchange factors and GPCR activity.

We were also able to identify annotation terms that exhibited considerably higher dN/dS values indicating less negative selection in the act on some types of genes.

Cation transference numbers are found to be salt-concentration dependent and considerably less than unity or even negative over a wide concentration range.

The ANEW dictionary stands out as being considerably less capable of distinguishing positive from negative.

Moreover, for the traditionally used template obtained from a low rate regular stimulation sequence, the SSR reconstruction is considerably less accurate (see Fig. S3), highly resembling the negative results previously reported [18], [19].

Applying an offset of 0.5 to the compounds predicted with BCF close to the thresholds, the number of false negatives (the most dangerous errors) dropped considerably (less than 0.6% of chemicals).

The slope coefficient is more negative with increased random error throughout the questionnaire (a considerably less than b) or more positive with decreased random error throughout the questionnaire (a considerably larger than b).

"Encouragingly we found that women with three negative tests for cervical cancer between 50 and 64 are considerably less likely to get the disease in the next 20 years.

In comparison, the Poisson and negative binomial models produce comparable log-likelihoods (both that are considerably less than those from the sCMP class) because they are unable to effectively model the under-dispersion present in this dataset.