Sentence examples for decision making step from inspiring English sources

Exact(5)

Our proposed approach is based on a Bayesian perception method that actively controls the sensor with local small repositioning movements to reduce perception uncertainty, followed by explorative movements based on the outcome of each perceptual decision making step.

The decision making step of the majority direction needs 1 bit.

Further support for NFATc2 dephosphorylation as the decision making step for binary IL-2 expression is coming from the hypotheses from Okamura et al. [24].

Thus, the initial information sharing and country decision making step will generally require the involvement of other actors, including PDPs.

Good practice including effective clinical decision making step 4 of the EBP process – requires the explicit research evidence and non-research knowledge (tacit knowledge or accumulated wisdom).

Similar(55)

In classrooms, such opportunities typically occur when planning and carrying out investigations (PCOI) that are designed to engage learners in the nuanced decision making steps of moving from questions, to measures, to data, to evidence, and to explanation.

The importance of partner opinion confirmation was one of the most important decision making steps for women.

We see the potential for conflict in genetic management recommendations leading to three key decision making steps in captive breeding programs to limit fitness losses.

In contrast, all of the physicians indicated in their subjective appraisals of the detailedness of shared decision making steps that therapeutic options were discussed.

We found discrepancies between these subjective appraisals of the detailedness of shared decision making steps and the log data, which represents user interactions with our electronic library of decision aids.

Through the use of a stochastic approach, this study has attempted to incorporate uncertainty into several of the key decision making steps in the MCDA procedure, and particularly into the assignment of relative importance scores to risk factor layers.

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