The phrase "a more robust basis" is correct and usable in written English.
It can be used when discussing the foundation or reasoning behind an argument, theory, or system, indicating that it is stronger or more reliable than before.
Example: "To ensure the success of our project, we need to establish a more robust basis for our research findings."
Alternatives: "a stronger foundation" or "a firmer groundwork".
And then the market, they are going to rally on a more robust basis.
This is in agreement with our previous findings [24], and it can be explained by the fact that 6 31G* is a more robust basis set than STO-3G.
The results advance the fundamental understanding of how chain length can substantially alter inter-particle bridging behaviour under different conditions, and thus provide a more robust basis for enhanced dewatering of clay suspensions through flocculant MW selection.
By evaluating the thermodynamics of metal protein interactions via equilibrium binding studies, protein unfolding free energy determinations, proton competition equilibria, and electrochemistry, a more robust basis for the computational design of metalloproteins may be provided.
Again, the recent expansion of electronic grant data could be tapped to provide more a more robust basis for analysis.
This provides a more robust basis for extrapolating long-term outcomes than previous approaches [ 18, 19, 21].
The Zero-Training method on the other hand might is dependent on a richer and more robust basis of spatial filters, as the current session might differ from some or most of the historic sessions.
Because of this uncertainty, we conducted assay M4 in which plants were carefully matched for size and prior reproduction, and this experiment is the more robust basis for our argument that GLV-mediated indirect defense increases plant reproduction.
Besides, the committee introduced more stringent rules for data collection and a more robust scientific basis to set sustainable catch limits.
The need for a more robust statistical basis for models has prompted discussions on how model predictivity can be assessed [11, 12].
With advances in understanding the microbiome and its metagenome in humans and other mammals, we now can build a more robust scientific basis to develop probiotic strategies.
