Sentence examples for more accurately expected from inspiring English sources

If we realize that fitness or, more accurately, expected fitness is just a theoretical tool and consists of nothing a priori (as Gould argued) we may avoid tautology and reification of concepts as dispositions that inhere in organisms and populations.

However, these studies overlook the potential use of historical shop-floor quality data of existing MMPs in order to extract the actual manufacturing operation capabilities from each station, and then, to evaluate more accurately the expected dimensional variability of new candidate process plans.

The more times the situation is repeated, the more accurately the expected value will mirror the actual average outcome.

While the first plugin is much faster, the advanced plugin more accurately produces output expected in the field.

As a result, the more modest dystrophin correction observed after a single administration is likely to more accurately model the expected clinical situation.

Work is currently underway to refine existing models, including the one used here, to more accurately reflect the expected type-specific reduction in CIN and cancer when girls are vaccinated using data from the UK (Dr R. Barnabas, personal communication, 2007).

Since 2D membranes are usually embedded on porous support in the experimental reverse osmosis (RO) process, the free-standing membrane can more accurately model the behavior expected during operation.

To take a few instances: the furloughs (more accurately, since we are expected to fulfill our teaching commitments even though we are not being paid) to which faculty have been subjected have not been equally distributed among all faculty.

At six months, participants in the three arm trialw7 guessed more accurately than would be expected by chance whether they had received active drug or placebo.

However, when applied to a setting in which measurements are more irregular and infrequent, the AM, which is weighted for the interval between measurements, may be expected more accurately to reflect cumulative risk exposure and hence the overall risk of CAD.

For example, using the above scenario, the number of white male cases between the age of 45 and 49 that have been successfully geocoded to a location within zip code 21237 (for which their block can easily be identified) are subtracted from the corresponding expected block counts, yielding an adjusted expected count more accurately reflecting the availability of the remaining population strata.