Sentence examples for measurements of random from inspiring English sources

Local measurements of random plasma glucose and glycosylated haemoglobin are performed at each visit from 12 months onwards and reported to the DMU.

Each experiment was repeated three times for each type of tissue to sample tissue averages and avoid measurements of random events.

Experimental results of a non-contacting, full-field measurement of random bending strain over the surface of a two-dimensional structure are presented.

The technique is intended to be applied using a scanning laser vibrometer to allow a non-contacting measurement of random bending strain over the surface of a structure.

For measurement of random plasma glucose levels, blood samples were collected at 8.00 a.m. from nonfasted rats at weeks 0, 5, and 24.

A tentative diagnosis of overt diabetes based on measurement of random plasma glucose must be confirmed with either an FPG or A1C value greater than or equal to the threshold using a DCCT/UKPDS standardized/aligned method (56).

A variety of methods have been used to detect adrenal insufficiency in patients with septic shock, including the 250 μg ACTH stimulation test (standard or "high-dose" test), the 1 μg ACTH stimulation test ("low-dose" test), measurement of random cortisol levels, measurement of free cortisol levels, and determination of the hemodynamic response to hydrocortisone.

All subjects had measurements taken of random plasma and capillary glucose (RPG and RCG), A1C, and plasma and capillary glucose 1 h after a 50 g oral glucose challenge test without prior fasting (GCT-pl and GCT-cap), and a subsequent diagnostic 75 g oral glucose tolerance test (OGTT).

Measurements of the random incidence transmission loss of aluminium double-panel structures lined with polyurethane foam are presented and have been found to be in good agreement with theoretical predictions.

The average fibre diameter was determined from 30 measurements of the random fibres taken from different areas of the scanned images.

Autoregressive models are used frequently with discrete time series data, when we have measurements of a random variable at equispaced points in time.