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Sentence examples for prediction condition from inspiring English sources

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In half the trials, the target object could be predicted from the verb (Prediction condition), in the other half such prediction was not possible (Control condition).

Subjects were instructed to predict an incoming sound based on key movement in two sets of trials (prediction condition), whereas they were instructed not to do so in the other two sets (non-prediction condition).

As a result, the activities in the temporo- and parieto-occipital areas for IPs were more enhanced than those for CPs in the period of 100 200 ms after the onset of visual stimulus under the prediction condition, whereas these were not recognized under the non-prediction condition.

As a result, only under the prediction condition with Δ = 300 ms was additional activity for incongruent pairs observed bilaterally in the supratemporal area within 100 200 ms of the auditory stimulus onset; this activity had spatio-temporal properties similar to those of MMF.

Earlier studies using similar materials have shown that listeners are considerably faster to fixate the target object in the Prediction condition than in the Control condition [7].

We can therefore attribute the impaired performance in the Prediction condition to disruption of neural operations by rTMS over the right cerebellum.

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Similar(49)

We first determined 'optimal' sets of comparative alignments by maximizing the number of known ncRNAs, serving as positive controls, recovered by different prediction conditions (Text S1).

A PPD is a distribution of predictions conditioned on the available data as shown in Equation (7).

Finite element (FE) models are useful for many applications in engineering community such as structural analysis, dynamic behavior prediction, structural condition assessment, and damage detection.

A problem of the state prediction and condition-based maintenance of complex engineering systems is considered.

The time-dependent approach does not provide long-term forecasts, and is proved to be successful only for short period prediction, when conditions do not change dramatically.

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