Sentence examples for predictions survey from inspiring English sources

And it's probably why the CEOs of venture-backed companies were most bullish on company growth in the Midwest compared to any other region in the U.S. (excluding Silicon Valley, New York and New England), as reported by the NVCA in its 2011 predictions survey.

Yet for all the dire predictions, a survey published in Sunday's Bild found that 65 percent of Germans expect the euro to still be there in 2021, versus just 31 percent who do not.

Defying many predictions, the survey found declining interest among employers in canceling their health plans and sending workers to government-run exchanges for Obamacare coverage.

Next, we describe the principles of in silico PPI prediction and survey the existing PPI and PPI site prediction servers that are useful for drug discovery.

The general lesson we take from these transformational experiences in history is that in matters of personnel change within the military, predictions and surveys tend to overestimate negative consequences, and underestimate the U.S. military's ability to adapt and incorporate within its ranks the diversity that is reflective of American society at large.

We predicted that lethal control would drive dingoes into the unstable states A or B, and that relaxation of control would allow recovery towards C. We tested our predictions by surveying relative abundance (track density) and indicators of social stability (scent-marking and howling) at seven sites in the arid zone subject to differing degrees of control.

The OMIM records used in the CGC prediction were surveyed manually and rated on a scale from 1 to 5. Comparing the manual and CGC ratings, it was found that the two highest-ranked candidate genes in the CGC application for all QTLs studied were rated as high in the manual evaluation, with the exception of one gene, CD74 in Cia17.

To survey predictions for the duration of military rule is to hear estimates ranging from one year to indefinite.

Our PVA model predictions matched the survey data for the Australian Capital Territory region remarkably well, but failed to predict occupancy rates in remnants in other regions.

The overlay of these predictions with the survey effort map allows us to locate those areas where more sampling effort is necessary (areas of high predicted species richness that are not well inventoried).

To systematically evaluate ChIP-PED prediction accuracy, we examined all predictions through a survey of existing literature.