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The inferred dispersion relations n are compared to the predictions of effective medium theories.
Despite numerous experimental and theoretical studies, it is still unclear whether the thermal conductivity enhancement in nanofluids is anomalous or within the predictions of effective medium theory.
Computational models tuned to specific cancer cell lines using bioinformatics and experimental data could be perturbed to make predictions of effective drug combinations to validate in preclinical models (Figure 3A).
Asking for the best and worst attributes provides no information about the attractiveness of the choice scenario itself, precluding predictions of effective use or demand by patients and consumers.
Also, refinement of the input values of the intrinsic elastic moduli of the various phases enabled predictions of effective moduli, at different ages and different water-to-cement mass ratios, that are within the 10% uncertainty in the measured values.
For simple microscale geometric configurations, both isotropic and non-isotropic, it was found that the results predictions of effective diffusivity from VAM agree well with results from the BDS for high porosity values.
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Their results revealed that intratumor heterogeneity influences the prediction of effective drug combinations.
Model simulations enable prediction of effective drug combinations for preclinical validation.
Experimental results prove that the model can give a very good prediction of effective pressure drop.
Experimental results will lead to prediction of effective diffusivity as a function of Reynolds number.
The problem of prediction of effective properties in some approximation can be solved involving only the averaging statistical descriptors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com