Sentence examples for generic validation from inspiring English sources

Generally speaking, the generic validation of a novel technology should be performed on a larger scale, ideally in multiple laboratories (interlaboratory validation), and include a much more comprehensive investigation of the critical parameters relevant to the specific technology to provide the highest chance of detecting sources of variation and interference.

A generic validation study is carried out to evaluate the performance of the present finite element formulation.

These experiments thus offer a generic validation of Monte Carlo simulations of moderator density variation effects in SCWR lattices, which are characterized by considerably different water densities in the separate moderator and coolant regions.

In order to overcome this limitation, a generic validation framework was created and a specific extension developed for the PSI-MI XML2.5 format.

Besides the technical aspect, the project also focuses on generic technology validation by potential users and their human environment (family, caregivers/care takers…).

Although generic OWL validators can be used to perform basic BioPAX validation, they are not sufficient.

Using that item bank, we developed one of the first IRT-based CATs for the evaluation of generic HRQoL, the validation of which we have presented in this manuscript.

What will validation validate?

The classifier was then evaluated using cross-validation with three folds and 20 repetitions as implemented in the "crossval " R package (crossval: Generic Functions for Cross Validation. R package version 1.0.2., http://cran.r-project.org/package=crossval).org/package=crossval

This paper outlines a generic approach for the validation of methods for detection and quantification of nanoparticles in food samples.

We design a generic fitness function for validation of input specification, then use it to develop two genetic algorithm wrappers: one for the variable selection problem for decision tree inducers and one for the variable ordering problem for Bayesian network structure learning.