Sentence examples for conversion to strong from inspiring English sources

Exact(2)

His conversion to strong support for the United States is a sincere but relatively recent phenomenon.

It is probable, however, that Williams's struggles on deep passes this season will hasten his conversion to strong safety, a position that will take advantage of his tackling.

Similar(58)

When applied to T40, two regions with a strong propensity for conversion to β-strand were recognized, YMVHWK the strongest and AEFHR more weakly (Figure 1), which is consistent with the fact that fragments (peaks e f) containing these regions are the most surface-active.

However, the academies minister, Lord Nash, has written to local MP Iain Duncan Smith to say that, while he acknowledged the improvement at the school, "our clear expectation … is that conversion to an academy with a strong sponsor is the best route to assure long-term improvement".

In that regard, one possible caveat is that, under certain conditions on mutation, the ascertainment bias of SNP genotyping arrays could lead SNPs subject to stronger biased gene conversion to be enriched, and thus lead us to slightly over-estimate the strength of biased gene conversion across the genome.

When we applied the algorithm to AChE586-599, the whole peptide (with the exceptions of the N-terminal Ala and Glu, and the C-terminal Lys) possessed propensity for conversion to β-strand with the strongest propensity for the sequence YMVH (Figure 1).

The higher-energy π,π* absorption bands are strong, and internal conversion to the S1 state is very fast (e.g., ∼100 260 fs for acetophenone).

12 Interestingly, selective attention is a cognitive ability that is one of the first to decline with age and has been shown to be a strong predictor for conversion to Alzheimer's' disease even before memory deficits were present.

Our study describes for the first time the unexplored variability of NI biomarkers among CN subjects, and we found that CSF tau and structural MRI measures, either aHV or SPARE-AD, were the strongest predictors of conversion to MCI/DAT from among a very comprehensive set of NI biomarkers.

The vertical ActiGraph activity counts demonstrated the closest relationship with the Actical, with consistent moderate to strong conversions using the algorithm: y = 0.905x, in the day by day data (R range: 0.514 to 0.989 and average: 0.822) and full data set (R = 0.865).

A higher baseline anti-CCP antibody concentration among anti-CCP-negative individuals was the strongest predictive factor for conversion to anti-CCP positive in the first 5 years of disease (Table 2).

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