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The modulus and coefficient of thermal expansion (CTE) of polypropylene-based nanocomposites and blends were predicted using various composite theories and compared to experimental results.
The barrier properties of the PP/EVOH extruded blends were predicted using a hybrid diffusion model that takes into account the morphology of the blends.
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The final localization of SiNPs in the blend was predicted using wetting parameter calculation and confirmed by scanning electronic microscopy (SEM) observations.
RNA secondary structures were predicted using RNAfold.
Functional areas were predicted using PROSITE.
Blend complex viscosities can be predicted using Lecyar's mixing rule.
The phase behavior of a Poly(2,6-dimethyl-1,4-phenylene 2,6-dimethyl-1,4-phenylene 2,6-dimethyl-1,4-phenylene 2,6-dimethyl-1,4-phenyleneaminetherTDA) blend during reaction induced PPE /diglycidyln is prethered using Flofy–Huggins theory.
The uncured blends were homogeneous and the Tg-composition behaviour was predicted using Fox, Gordon Taylor and Kelley Bueche equations.
The LRR domain was predicted using MANIFOLD.
Subcellular localization was predicted using SurfG+ [69].
On average, reliabilities of genomic breeding values predicted using the original single-step blending were 1.6%% higher than reliabilities from the adjusted GBLUP method, but 0.3% lower than reliabilities from the adjusted single-step blending.
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