Sentence examples for model to continually from inspiring English sources

With respect to grassland management in the future, the simulated general increase in annual grassland productivity (i.e., NPP) generally leads to an increase in the annual forage yield (Y pot ), annual grazing capacity (C grazing ), and thus of potential livestock density (D opt ), when management is allowed in the model to continually adjust to increasing NPP (i.e., E control ).

Administrators must lead through ever-changing reimbursement models, work to continually improve patient satisfaction indicators, affect hospital quality metrics, and close the labor shortage gap during a time of political unknowns of health care reform.

Because APSE is an OA journal, our production model is designed to continually accept manuscripts for the review process, meaning there are no deadlines to meet to be considered for monthly issues.

And speaking of role models, in addition to continually being called upon to voice Ariel, Benson is also now the official voice of Barbie.

Finally, models would need to continually adjust for changes in competing mortality risks, which also change over time.

For this model to work, the company has to continually stay ahead of whatever Apple is building itself.

Archer said: "It's not the case that we have modelling capacity available on-tap to continually undertake analyses".

FICO also takes advantage of threat intelligence sharing in order to continually enhance its model with insights gained from data contributed by a consortium of users.

It is essential, therefore, to continually test a model against new data that did not go into its construction.

These are not one-time actions; they are processes involving learning loops that contribute to continually adjusting the business model so as to maintain the organization's competitive edge.

Badapple shares some key features of Bayesian approaches: (1) absence of any assumed probability distribution, and (2) by iterative learning cycles, new data can be used to continually improve the prediction model.