Sentence examples for predictions of negative from inspiring English sources

Because of the non-negativity constraint on hypoxic area (any predictions of negative hypoxic area are treated as zero), probabilistic results are best determined through Monte Carlo simulation (eq 9).

In this paper we present predictions of negative and positive conductivity by using the present models of the lower ionosphere.

An attempt was made to correct the quasichemical model to avoid predictions of negative configurational entropy when long-range order is impossible as in liquids.

At T2, after controlling for pain severity, other measures of anxiety and each respective measure of functioning at T1, health anxiety uniquely predicted disability and negative affect, although anxiety sensitivity also uniquely contributed to the prediction of negative affect.

The prediction of "negative resistance" is just one of a set of counterintuitive and bizarre fluid-like effects encountered under certain exotic circumstances, involving systems of strongly interacting particles in a sheet of graphene, a two-dimensional form of carbon.

The study explored differences in the accuracy of the 2 steps of screening information and whether parents' reports of parenting practices augments the prediction of negative outcomes.

If costs to migrate represent a higher proportion of income for the low skilled population or if this population cannot access to credit, the theoretical prediction of negative selection among Mexican migrants in the United States can be modified.

All 16 patients undergoing a virtual crossmatch had negative retrospective crossmatches.By carefully determining the specificity of HLA-specific antibodies, flow cytometry methodologies enable the prediction of negative crossmatch results with up to 100% accuracy, enabling the determination of appropriateness of donors.

Generalized linear models (GLMs) have an advantage over linear regression in that they accommodate the discrete nature of count data, as well as preventing the prediction of negative numbers.

The rank product was found generally best in the prediction of negative interactions in each of the dataset pairs.

The ROC analysis yielded a best cutoff value of 100 μg/kg/hour for prediction of negative outcome (area under the ROC curve = 0.939; P <0.001).