Sentence examples for augmenting the likelihood from inspiring English sources

Engineered nanoparticles (NPs) are increasingly being utilized in numerous commercial applications, thereby augmenting the likelihood that they will find their way into aquatic or terrestrial environments, where their fate and behaviour still are not yet fully understood.

It would be expected that this difference would persist into adulthood, augmenting the likelihood that Inattentive symptoms would predominate the clinical presentation.

Moreover, because of their chemical nature, olfactory signals might be more likely than others to vary with small differences in ecological traits such as diet, microhabitat or parasite infections [ 50, 58, 59], perhaps augmenting the likelihood of reproductive isolation among populations.

The experiment conducted suggests that connectivity levels at both extremes, representing very little risk and high risk of species mortality, do not augment the likelihood of coexistence while intermediate levels do.

In practice, to improve the rate of convergence of the Markov chains, we augmented the likelihood of the sound change model with that obtained from cognacy data for the same words, following methods described elsewhere [ 34, 35] (Supplemental Experimental Procedures).

However, in the case of Keep Well (as with other preventive programmes) it is the health service that presents to the individual rather than the other way round and outreach workers used a range of differing approaches to augment the likelihood of candidacy being accepted.

The differences in the predictive value of the two models were assessed using the Akaike Information Criterion [ 22] to augment the log likelihood ratio χ2 test, with a penalty for differences in the number of variables in the models compared.

This algorithm maximizes the complete-data likelihood after augmenting the data for the missing variable W it during the expectation step.

The presence of both NAFLD and T2DM increases the likelihood of the development of complications of diabetes (including both macro- and micro- vascular complications) as well as augmenting the risk of more severe NAFLD, including cirrhosis, hepatocellular carcinoma and death.

By augmenting the data with the missing information, the so-called complete data is derived and the corresponding complete-data log-likelihood is in general easier to maximize.

The figures augment information about the likelihood of switching with information about the time to switching over the one-year study.