The phrase "a strong scale of" is correct and usable in written English.
It can be used when discussing a measurement or evaluation system that has significant impact or intensity.
Example: "The researchers developed a strong scale of measurement to assess the effectiveness of the new treatment."
Alternatives: "a robust scale of" or "a significant scale of".
The diagnostics required to evaluate Mokken scaling analyses include Loevinger's coefficient (H) which is used to select items from larger items sets into undimensional item clusters; H > 0.3 indicates weak scale with H > 0.4 indicating a medium scale and H > 0.5 a strong scale with higher values of H indicating greater accuracy in person ordering.
The diagnostics required to evaluate Mokken scaling analyses include H which is used to select items from larger items sets into undimensional item clusters; H > 0.3 indicates weak scale with H > 0.4 indicating a medium scale and H > 0.5 a strong scale with higher values of H indicating greater accuracy in person ordering.
Our results suggested a strong scale-dependence of aboveground carbon accumulation, supporting the intermediate peak hypothesis at the fine scale of the 0.16-ha transects, but an asymptotic model at the landscape scale incorporating thousands of hectares.
We also found a strong scale-dependency effect of forest fragmentation over the ecology of microbial communities: fragmentation increases the local (alpha) diversity, but affected negatively microbial diversity at the landscape scale (beta diversity).
The computational efficiency of the parallel simulation was examined using a strong scaling test, where the computation time of a fixed-sized numerical model is measured for parallel computing using different CPU numbers.
Results from this study show that model predictions exhibit a strong scale-dependency, with percent clay, sum of bases, and total carbon having the highest R2-adj and lowest root mean square error (RMSE) at coarse neighborhood extents (i.e., 150 to 300 m) both between soil variables and across soil depths.
In the following three sections, we study the strong scaling of d2o where the performance is a result of the combination of all three cost contributions.
The overall strong scaling of the method depends on the number of patches and on the scalability of the standard solver within each patch.
Strong scaling of this nature will be required to run clustered cosmological simulations on future machines with hundreds of Petaflop/s performance, and presents a realistic proving ground for parallel strategy innovations.
Additionally, because the computations in kinetic models are serial in nature, strong scaling of traditional molecular simulations to these architectures is exceptionally difficult.
