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The results of these calculations together with the earlier results have allowed us to build the correlation of Evans Polanyi type between the activation barrier and reaction enthalpy for "inversion substitution" reactions CH3X + O2 → CH3O2 + X.
The data used to build the correlation consist of measurements from 137 crude oils from various locations around the world, with 254 viscosity measurements taken at two temperatures, 0 °C and 15 °C, resulting in kinematic viscosity values ranging from 2 cSt to 9,000,000 cSt.
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Data employed to build the correlations come from detailed dynamic simulations performed in TRNSYS environment.
In order to build the correlations, forty petroleum samples with API grades ranging from 31.1 to 36.4 were employed.
In order to build the correlations between the generalized damage model and the multi-level damage performance, a normalized corresponding parameter is introduced into the damage model to specify the damage limit values at each structural level.
To build the two correlation matrices in MASEM, we combined corrected population correlation coefficients from the current study with previous meta-analytic results (e.g. Butts et al. 2013; Chang et al. 2009).
Finally, the response surface methodology (RSM) is applied to build the comprehensive correlation of the bonding force with its dimensional size, spatial orientation, and bond layer thickness.
When the example of formula (1) is used to build the data vector, the correlation coefficient of the corresponding item of the data vector decreases with the increasing coregistration error.
In contrast, a variety of approaches build the subsequent expectations on the correlation between the corporative agreement of stable development and organizational culture, including various subcultures can exist within an organization and various attitudes of participants of each subculture.
The experimental results demonstrate that the proposed method built on the correlation of HVS and RD cost is both practical and efficient.
The distribution pattern of the time difference sequence is analyzed with the probability density function, and the mathematical model of the time difference sequence is built by the correlation analysis.
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