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The present predictions are applicable for a fabrication of piezoelectric MEMS on Si wafers.
The proposed permeability predictions are applicable over the entire range of solid volume fractions.
By contrast, the predictions produced here are more focused on associations for which there is not available experimentally confirmation, which also implies that in principle our predictions are applicable to any protein (within the E. coli proteome here analyzed).
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Prediction is applicable only to the active elements of repair time because those are influenced by the design.
It is not known whether function assays used to predict immunosuppression are applicable to the prediction of immunostimulation.
These data show that our predictions are likely applicable to other Plasmodium species as well as to other apicomplexan parasites.
However, there can be exceptions where the predictions are not applicable to all the proteins matched, for example when a small fraction of family members have lost the active residues and are no longer catalytically active.
The aim of the present study was to determine whether recently developed MFA-based prediction equations for CH4 emission are applicable to dairy cows with different diacylglycerol o-acyltransferase 1 (DGAT1) K232A polymorphism and fed diets with and without linseed oil.
This is especially important for new sequencing technologies, i.e. next-generation sequencing, where millions of sequences are generated per sample and fast predictions are needed to be applicable in routine diagnostics.
It was furthermore studied to which extent fuel indices are applicable for the prediction of the bottom ash behavior of blended biomass fuels.
These results are applicable to the prediction of effective diffusivities in char particles and polymer materials used for the controlled release of drugs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com