Sentence examples for program for implementation from inspiring English sources
I do not think we have to take that language literally in estimating the cost of translating Sanders' political aspirations into a specific program for implementation in the real world.
In 2007, New York City shelved a proposal for a three-year pilot program for implementation in Manhattan, and a new proposition was denied in 2008, with a potential federal grants of USD 354 million being reallocated to other American cities.
The residence times were entered into the MIRDOSE version 3.1 personal computer program for implementation of the MIRD absorbed dose calculations, and the resulting unit absorbed dose, effective dose equivalent and effective dose estimates were tabulated [ 17– 20].
Algorithm and programs for implementation of the design method are developed.
We are particularly grateful that Dunn and Smyth (2005) and Zhang (2013) chose to produce R programs for implementation of the Tweedie family of model distributions.
The pathways have been designed to provide maximum flexibility to programs for implementation and to radiology residents for planning their subspecialty training.
Ongoing federally-funded programs for implementation of these visual analytic techniques in support of pandemic planning and response may further stimulate interest in visual analytics [6].
Communities need to be selective in locating promising programs for implementation and matching the model to the needs of a particular site and population.
The main limitations of these simulations as a solution to missing laboratory data for predictive modelling applications are: a requirement for skilled R programming for implementation, and slightly more demanding computational needs, compared to NN or MICE methods.
Burkina Faso, a landlocked country in West Africa, is endemic for all these five NTDs [ 20] and thus it was selected as one of the first five country programs for implementation of integrated NTD control.
The main limitations of missForest as a solution to missing laboratory data for predictive modelling applications are a requirement for skilled R programming for implementation, and slightly more demanding computational needs, compared to NN or multivariate imputation by chained equations methods.
