Sentence examples for possible prediction of from inspiring English sources

To determine possible prediction of regular menses with aging in anovulatory women with polycystic ovary syndrome (PCOS).

A qualitative correlation has been established between the master curves (material characterisation) and the transmissibility curves (isolator characterisation) which leads to a possible prediction of expected isolation performances of a viscoelastic material during early design stages.

This study promotes the better understanding of the structure-property relationship with possible prediction of NLO properties in such complexes as the design of such type of metal-organic systems has an essential impact on their NLO performance.

As in our prior study [Cárdenas, R. A., & Harris, L. J. (2006)], symmetry of facial features and symmetry of decoration enhanced attractiveness, but, contrary to the possible prediction of the good-genes hypothesis, the effects did not vary across the cycle.

The device is useful beyond cancer monitoring, including determining if you have a viral or bacterial infection and possible prediction of cardiac arrest.

To maintain the consistency of stimulus inputs and yet minimize possible prediction of upcoming stimuli, the stimuli were triggered using a computer and delivered for seven times at randomized intervals within a few minutes.

Unknown to you, the stockbroker has been sending every combination of possible predictions to tens of thousands of other people, and you are one of the unlucky few who got 10 good ones in a row.

Although linear regression modeling is a statistical data-driven technique focused on obtaining the best possible prediction, many of these mutations are also known resistance-associated mutations, indicating that the statistical models largely reflect well characterized biological phenomena.

These two extrapolation scenarios define the only possible prediction range of mixture responses according to Equation 1.

It plots the prediction rate for insulators (correctly versus incorrectly predicted) throughout the full spectrum of possible prediction thresholds.

The equations used were: A value of MCC=1 defines the best possible prediction, while a value of MCC=-1 indicates the worst possible prediction.