Sentence examples for data swallowing from inspiring English sources

Exact(1)

Furthermore, this study could be clinically relevant suggesting objective data (swallowing duration and muscle activity pattern) in order to check dental therapy (prosthetic and orthodontic treatment).

Similar(58)

Dose/volume data for swallowing structures will be correlated with long-term swallowing function, collected prospectively in this multicentre randomised trial.

Matyjasiak, unpublished data), barn swallow males that survived to the next breeding season were significantly better fliers than non-survivors (t test, t = −2.45, df = 64, P = 0.017; survivors, n = 30 and non-survivors, n = 36).

Some people may be convinced that they already have a black hole laptop, imploding at the worst possible moments and irretrievably swallowing data.

The results of this study showed some correlations between the oral condition and the data of the swallowing performance even when elderly individuals affected by stroke were part of the heterogeneous group.

Pearson's correlations between the swallowing pressure data and a reference measure of each participant's peak amplitude collected during an effortful saliva swallow task showed a relationship of r = 0.38, P = 0.000.

These data suggest that during swallowing with an occlusal contact, higher and more prolonged forces are released on the teeth and on the skeletal structure partly justifying Monaco's findings.

We might baulk at swallowing electronic data-hoarding sensors handed to us by pharmaceutical or insurance firms, but if Google gives them to us – free!

Introduction: Available data shows that dysphagia and swallowing disorder rate secondary to artificial airway and prolonged mechanical ventilation in critical tracheostomized patients is high (50-83 %), nevertheless it real incidence is not yet well established.

Available data shows that dysphagia and swallowing disorder rate secondary to artificial airway and prolonged mechanical ventilation in critical tracheostomized patients is high (50-83%), nevertheless it real incidence is not yet well established.

To overcome this problem a Machine Learning model was established to objectively determine the UES restitution time (RT) and moreover to collect physiological data on sphincter function after swallowing.

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