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Two methods are most common.
A new book looks at which methods are most effective.
But unfortunately these methods are, most often, still used independently.
Research on which methods are most effective for sharing knowledge related to innovation provide some clues.
Machine learning methods are most effective when they optimize an appropriate performance measure.
In northern Sumatra downscaling methods are most skillful during Jan.-Apr.
Transverse-stitch method and the carbon cord tying methods are most effective for trailing edge reinforcement.
In this context, the compendial methods are most likely offering the highest degree of standardization.
Habitat valuation methods are most often developed and used to prioritize candidate lands for conservation.
The location of the product will dictate which recovery methods are most appropriate.
However, management methods are most often experience-based, rather than science-based.
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