Sentence examples for mechanistic error from inspiring English sources

The mechanistic error determining the cell and granule area was estimated by 10fold determination of the cell and granule area of a randomly picked cell.

I believe that God is perfectly good, not just in a mechanistic, error-free sense but in the sense of being perfectly benevolent toward each and every one of His creatures.

The mechanistic standard error, in percent ( σ x ⎺, for the determination of granule/cell area ratio was found to be 2.01% (Table 5).

In addition to explaining a mechanistic link between error-free DDT defects and tumorigenesis, our work indicates that premature, nuclease dependent processing of the replication-associated junctions involved in damage bypass under conditions of replication and genotoxic stress may lead to a similar outcome with the one induced by oncogene activation: genome rearrangements.

State-space models directly address these issues by coupling a model for observation error with a mechanistic model of animal movement and solving the models together [53].

The WCA, currently administered by private outsourcing firm Maximus, having for most of the last government been run by Atos, has been widely criticised as error-prone and mechanistic, often causing harm to the sick and disabled claimants who are obliged to undergo it.

While the overall production pipelines are similar across sequencing platforms, they differ in mechanistic details which affect the types of errors made during sequencing.

Parameters for phosphofructokinase (pfkA) are confined within a relatively small parameter space, which is based on mechanistic analysis and time-consuming trial-and-error testing.

If one builds a model such as the integrated exposure uptake biokinetic model carefully, using essentially error-free lead exposure data, and applies this model in a different data set with error-prone exposures, the complex mechanistic model will almost certainly do a poor job of prediction, especially of extremes.

At best, they have a high coverage of the most relevant relationships between cellular components, with a high percentage of correct mechanistic inferences and a low level of omission and error introduced by curation or text mining, inspector bias, and experimental error.

On comparing the amplitudes of cutting forces, it is seen that mechanistic model predicts the transverse force with an average absolute error of 12.29%, while a higher prediction error of 19.49% is obtained for feed force.