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- Millon Multiaxial Clinical Inventory MCMI-II [ 19]: The MCMI-II provides theoretically derived measures which predict diagnostic probabilities and a wide range of cognitive, affective, perceptual, interpersonal, and behavioral clinical attributes (Millon, 1987).
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Beagle calculates an allelic R measure, which predicts accuracy of imputation per SNP.
Research to identify new prognostic biomarkers, which are associated with outcome measures, as well as predictive biomarkers, which predict response or resistance to therapy is ongoing.
An accurate empirical expression is proposed for the measured coupling coefficients which predicts streaming potential coupling coefficients and zeta potential in the salinity range from 0.0001 M to 5.5 M.
But Mr. Capellas said the cost-cutting measures, which he predicted would save Compaq $500 million, would let the company set prices more aggressively.
It also demonstrates good construct (theoretical) validity; the teleological measure is significantly negatively related to natural selection understanding and the final course grade but unrelated to the other measures, which was predicted.
The index that characterizes this failure sensitivity is an energy measure called the Area Release Energy, which predicts the amount of energy that is released upon crack initiation at an arbitrary position along an interface.
In this method, to get the numerical value of the evaluation function for a defined system, response variables have to be measured or a mathematical model which predicts the properties of system has to be found and incorporated into the optimization process.
This dramatic increase is measured by Moore's law, which predicts that the speed and memory capacity of computers doubles every two years.
To compare stability in uneven terrain, we introduce the normalized maximum drop (NMD), a measure based on simple kinematics, which predicts that compliant legs allow negotiation of relatively larger terrain perturbations without failure.
The variables tested were based on a broad range of measures used in the PARR algorithm which predicts re-admission within the following year.
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