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However, it is not easy to validate the CFD predicted results.
As mentioned in the introduction, it is not easy to validate the performance of the synthetic accessibility score, because there are no experimental measures or objective molecular characteristics we can compare it to.
This assumption is not easy to validate because it is generally difficult to pinpoint all of the factors surrounding the evolution of any character, let alone one as complicated as infanticide.
Food and drink is not easy to validate as good, easy-to-administer, self-reported measures of nutritional intake are lacking.
Unfortunately two of these studies lack experimentally determined tertiary structures [ 52, 58] and their claim of intramolecular bonding as a possible candidate for imparting thermostability is not easy to validate without a structure.
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Moreover, the proposed methods of Levin et al. [27] and Chesnais et al. [28] were based on the assumption that the classifiers were independent, which could not be easy to validate.
Additionally, the CFD models are still not easy to be validated experimentally because the transient opening motion is difficult to be accurately measured for its quick and nonlinear characteristics.
The advantages of this approach are that it is easy to validate, certificate, and verify.
It is also relatively easy to validate additional polymorphisms if one needs a greater resolution.
Quality of life measurement has been gaining attention, and although such measures are widely used, most instruments are not easy to understand and validate for older populations, which presents specific challenges and higher prevalence of cognitive and health problems and low education (Chachamovich, Fleck, Clarissa, & Power, 2008).
It is not easy to predict whether antibodies validated using blotting-type methods perform well in IP-type applications such as ChIP, and vise versa.
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