Sentence examples for models when deciding from inspiring English sources

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Teams rely on these models when deciding whether or not to recruit players.

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Importantly, the risk-stratified approach does not replace or supersede physician judgment about factors not accounted for in the NIHSS-weighted model when deciding the best overall course and bed status for the patient.

Using a comparative assessment of business model innovation practices of two well-reputed carriers, Air Berlin and JetBlue, the paper highlights the importance of taking into account several components of a business model when deciding to experiment with it as these choices have important implications for an airline's performance.

Amazon will presumably use these deals as a model when deciding who will land its 50,000 high-paying jobs.

The specific algorithms which were considered are provided in Table 2. > -wrap-foot> Bayesian methods consider prior knowledge about the parameters and variables in the model when deciding if a logic property holds.

"With social media everything has changed," she says, noting that some fashion houses now take into account the number of Twitter followers a model has when deciding which model will best bring attention to their catwalk or advertising campaign.

While this distributed leadership model works well when deciding where to camp or how long to hike on a particular day, it is not the best approach when there is a serious problem or emergency.

The issue of model granularity also arises when deciding how to submit a patch-based model to a model repository, such as Biomodels.net [ 29].

Intracranial pressure and its assessment are important tools to understand both brain modeling and clinical issues when deciding treatment algorithms for individual patients.

This is something to bear in mind when deciding on model fitting procedures.

Studies using a number of different accelerometers have been reported [ 12- 17], with researchers required to weigh the differing costs, unit dimensions, technical specifications, outputs and evidence for reliability and validity when deciding which model to utilise.

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