Sentence examples for evaluation updated from inspiring English sources

The 1997 IARC evaluation updated an older, obsolete evaluation that had classified TCDD as a group 2B (possible) human carcinogen.

Since 1991, the U.S. Institute of Medicine (IOM) has been congressionally mandated to conduct a comprehensive evaluation, updated biennially, of scientific and medical information related to health outcomes associated with Agent Orange and other herbicides used for defoliation and crop destruction during the Vietnam War between 1962 and 1971 [ 23].

A simple iterative finite difference scheme is designed; the calculation complexity is reduced by decoupling the nonlinear system, and the precision is assured by timely evaluation updating.

By posing a price factor to the BS evaluation update, users dynamically associate the best BS based on the congestion state.

Core themes and outcomes will be identified using Miles and Huberman's stages of data analysis [ 49]. 3. Based on outcomes from the evaluation, update and adapt FIRST 2 ACT Web to meet learning and teaching requirements.

A novel element of the program's data and monitoring strategy was not only to provide monitoring and evaluation updates to the funders but also to document the program's approaches and share program successes and challenges with the broader public health community.

Bayesian updating facilitates evaluation of updated validation information as additional data from experimental observations or improved simulations is incorporated.

An alternative approach would be to utilize ontology-based approach to definition of quality metrics and evaluation, where updated representation of concepts in the metrics would be automatically updated in the system [52].

For the current evaluation, we updated the population structure using the 2010 Australian female resident population [ 30].

The capital cost evaluation was updated to the first quarter of 2011, as were vendor quotations for the CHP plant, the filter press and the biogas recirculation tanks.

It is divided into seven elements such as data warehousing, data preprocessing, feature subset selection, modeling, model evaluation, model updating and model release.