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Its flexibility to deal with varying seam inclination and degree of critical extraction makes the influence function method a much better tool in subsidence prediction than the existing methods.
With this method, a much lower amount of stabilizer was needed to obtain a similar size.
This approach makes the photographic assessment method a much longer and therefore more costly process as compared to visual examination methods.
With the use of a GC MS method, a much lower detection limit (6.4 fmol) compared to the HPLC protocols was achieved.
Because fire is a less costly juniper removal method, a much larger area could be treated for a given budget, which in our model yielded significantly greater forage production and sage-grouse habitat restoration.
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Compared with non-uniform deblurring methods, GAC method has a much lower peak memory usage and is much more efficient.
When comparing across methods, a much larger number of genes putatively under selection were identified using the RAD genome scan approach.
When compared to the other methods, the proposed method has a much better performance.
In addition, compared with electromagnetic transient simulation methods, the proposed method has a much faster computation speed and thus is more practical for engineering use.
This observation indicates a general concordance of these two methods, with our method producing a much finer cluster, expressing an explicit pharmacological relationship between responses and treatments.
It is shown that the Prony method and the wavenumber fit method yield a much improved wavenumber resolution as compared to the spatial Fourier transform method.
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