Sentence examples for accessible variables from inspiring English sources

Decision tree methodology using easily accessible variables was employed for identifying the edges classified as having a high probability of wind damage.

Sacral slope and other sacropelvic measurements are easily accessible variables that could aid clinicians in assessing active adolescents with low back pain, particularly when the diagnosis of spondylolysis is suspected.

For dealing with plant nonlinearities and external disturbances, a nonlinear transformation is performed on the accessible variables such that the transformed system behaves as an integrator, to which linear control techniques are then applied.

In conclusion, a combination of easily accessible variables accurately predicts the absence of significant fibrosis and might render liver biopsy unnecessary in more than one third of patients with chronic hepatitis C. (HEPATOLOGY 2002 36 986-992).

In this work we provide two different realizations of kinetic networks leading to the desired limit cycle oscillation: a mass action kinetic system with constant inflow and outflow for some of the species, and a stirred tank reactor configuration with some entrapped species where the nonchemical effect of keeping some concentrations constant is achieved by manipulating some accessible variables.

"Our results suggest that even the simple, easily accessible variables from the digital footprint proxy for income, character and reputation and are highly valuable for default prediction," the study reported.

Open-loop stability is first studied, and a feedback vibration control is then designed using the accessible variable.

In addition, it is an easy accessible variable: ORC suppliers usually refer to their equipment in terms of the power capacity of the system.

The demonstrated linkage of driving pressure to outcome [5] indicates that CRS, the quotient of tidal volume and driving pressure, is a reasonable and clinically accessible variable to be optimized during PEEP titration.

The mutual information may be understood as a measure of the dependence between variables, with this dependence being quantified by calculating the average amount in the uncertainty on some variable v i given the knowledge about other accessible variable v k, and vice-versa.

The matrix confirmed our intuitive expectations, giving high propensity scores to accessible-variable residues and to buried conserved residues.