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Therefore, a future study for the suitable combination of fungal pretreatment with other methods might be required.
Second the methodology developed here could be validated in a future study for a new rotor blade system to function well within the scoop.
Most importantly, finalization of the IMPA scale will depend on a future study for psychometric evaluation of the measure, involving comparison of the IMPA scale with other accepted measures of function (e.g., cognitive, behavioral, ADLs).
Determining the optimal ΩUC (p), instead of an acceptable interval, might even be done by online adaptation in our future study, for which many original approaches are yet to be discovered.
In a 2013 article Todeschini and coworkers perform the comparison of 51 similarity coefficients, their conclusions also support the usefulness of the Tanimoto index, as well as identifying two additional metrics "that may be worthy of future study for applications in chemoinformatics" [16].
Such an approach would need to be based on quantitative spectral data, as has been demonstrated in the literature [15, 29], and could perhaps form the basis of a future study for the development of a post-processing tool to create false colour images that could more accurately represent the proportion of pigments used in mixtures or overlays.
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Such sensitivity analyses might be conducted in future studies for semantic monitoring approaches in general.
The proposed method might be applied to other human and animal matrices in future studies for accurate quantitation of diclofenac.
Due to the relatively small sample size n (Table 1), these relationships should be examined in future studies for validity.
This will be essential in future studies for screening mutants and optimizing photobioreactor system performance for filamentous cyanobacteria.
The data will be used in future studies for validation of CFD models for wind flow, natural ventilation and indoor environmental conditions in buildings.
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