Sentence examples for index correlation from inspiring English sources

Exact(18)

Multiple sorting functions are provided for the correlated molecules (right panel) including sorting by molecular index, correlation values (Correl) and molecule name.

Basis risk cannot be avoided, and increases as the spatial resolution of the area modeled increases (requiring good index correlation with the loss at such resolution).

This holds true with the manual classification as severe PVA or not (Table 2), as well as with the automated NeuroSync index (correlation with ventilation duration: R 2 = 0.12; p = 0.58).

In this paper the influences of the BDS measurement stochastic model on the internal reliability index – minimal detectable bias (MDB), the separability index correlation coefficient, and the integrity index – vertical protection level (VPL), for each satellite are analyzed and algebraic formulas derived for carrying out the calculations.

Open image in new window Fig. 15 The Brittleness Index correlation in the study area wells; the red is indicating high brittleness and blue is indicating ductile area in well#1 and well#2 Open image in new window Fig. 16 The Brittleness Index modeling output along the study wells in the study area in Cambay shale section.

There was good correlation between the two methods used to assess dyssynchrony (LV t-IVT LV t-IVT LVx correlaTein coeffindext = 0.80, P <0.001).

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Material properties adapted from the proximal femur reduced the CT index correlations by up to 58% indicating that bulk density from a near proximity is a poor representation of specific localised density.

Index correlations.

Fig. 4 Gini and frictional wage dispersion indexes correlation.

A threshold resolution of ∼10% of the original topographic field is identified through analyses of homogeneity indices, correlation coefficients and spatial errors.

The network performance indices correlation coefficient, Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and Variance Account For (VAF) are 0.9996, 0.744, 25.06 and 99.97, respectively, which demonstrates the high performance of the predictive capability of the neuro-fuzzy system.

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