Sentence examples for process can predict from inspiring English sources

A rational design of the surface strengthening process can predict and control the region of fatigue crack initiation.

The deRIP process can predict ancestral functional sequence from degraded repeat elements.

We utilize previously described methods [25] to determine whether altered state of non-randomly altered processes can predict patient outcome.

While the underlying clinician-patient communication processes are complex and poorly understood, the quality of these processes can predict health outcomes even months after consultations have taken place [ 2]. "Good communication skills in medical practice are not innate, can be learned, and can always be enhanced" [ 3].

The constant development of new sheet materials with various shearing properties makes it desirable to have a model of the shearing process that can predict the appropriate shearing parameters.

By this process, individuals can predict how their activities will be evaluated and reacted to by others.

Using advanced statistical methods, the consortium identified, with a high degree of reliability, the organizational traits and processes that can predict whether a school is likely to show above-average improvement in student outcomes.

By using advanced statistical methods, the consortium was able to determine with a high degree of reliability the organizational characteristics and processes that can predict whether a school is likely to show above average improvement in student test scores.

Nowadays, these models constitute a significant source of information on caldera-forming processes and can predict semi-quantitatively general conditions for fault formation and propagation.

The EVM process can accurately predict BER degradation in distortion techniques as the distortion can be modelled as a random statistical process.

Although it may seem intuitive to equate a performance gain with redundant signals with facilitatory processing, parallel processes with no facilitation can predict significant redundancy gains (Duncan, 1980; Kahneman, 1973; Miller, 1982; Raab, 1962; Townsend & Wenger, 2004).