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We evaluate the maximum accuracy of predictions obtained by using contact potentials and the correlation between parameters derived from different data-sets of experimental (ΔΔG) values.
As such, an IVIVC is generally described by a linear relationship between parameters derived from the in vitro and in vivo experiments as quantified by the Pearson correlation.
In particular, many studies showed good relationships between parameters derived from airborne LiDAR data and forest measures such as canopy height [18 20], basal area [21, 22], stem volume [23 26] and aboveground carbon [7, 15, 27 31].
Levels of agreement between parameters derived from the questionnaire, and from the medical records, were examined.
Generalized linear models (GLMs) were used to estimate the association between parameters derived from the questionnaire and the number of all MRSA cases and the number of ICU-acquired MRSA cases, respectively.
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This model is used as a basis to demonstrate the relationship between pulmonary parameters derived from circuit analysis.
In the XRD-sin2ψ stress measurement, the residual stress value is determined through a linear regression between two parameters derived from experimentally measured diffraction angle (2θ).
The compatibility between the parameters derived from the aforementioned models was checked by evaluating the fatigue results for five groups of selected constructional materials.
Much as in Connors et al. (2014), we find a consistent picture between the parameters derived from independent ground magnetometer and AMPERE in situ data.
There were no significant differences between PK parameters derived from paired data sets (data not shown), suggesting a time-independent PK behaviour when XR11576 is administered on days 1 5 every 21 days.
A statistical comparison has been made between gravity field parameters derived from different global geopotential models (GGMs) and observed gravity anomalies, gravimetric geoid and GPS-Leveling data.
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