The phrase "a strong validation for" is correct and usable in written English.
It can be used when discussing evidence or support for a particular claim, theory, or argument.
Example: "The recent study provides a strong validation for the effectiveness of the new treatment."
Alternatives: "a solid endorsement for" or "a robust confirmation of".
Using f stim = 6.5 sec -1 yields predictions that effectively match the observations of Lohmeier et al.. Indeed, given that only one parameter was adjusted, the comparison of model predictions to the five variables plotted in the figure represents a strong validation test for the model.
The obvious answer is that successful predictive categories are actually tracking the causal structure in the world that accounts for the shared nature of the different instances, so we should aim for a stronger validation of the diagnosis than mere predictive validity.
Whereas we applied a strong validation criterion requiring rules to hold for all simulated and observed transitions, the expert could also reject rules below a threshold of support and confidence in the observed context, potentially reducing noise or eliminating measurement errors.
The company rejects charges that seem far from the norm and subjects the information to a "strong validation process," according to a UnitedHealth spokesman, Don Nathan.
These results provide strong validation for the DamID method.
The congruence of DNA microarray and qPCR data for selected differentially expressed genes and gene expression markers provided strong validation for the DNA microarray data.
Our finding of preferential reactivations of cells encoding general and subgeneral features provides a strong experimental validation for the computational modeling work which simulates that the finer distinctions of specific events or knowledge may be more easily lost than the more general ones during the consolidation stage [29] [31].
The robustness across different datasets, and the obvious association of genes of known function or cell lineage-restriction, provides a strong internal validation for our approach.
These experiments also provide strong validation support for the IES model itself.
