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First, although existent geometry-based methods provided considerable accurate prediction of binding site, improvement could be made by integrating other information, such as evolutionary conservation.
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Numerical results are tabulated in tables; these tables show that the results obtained by cubic B-spline are considerable and accurate with respect to the cubic spline and more or less similar to the quintic spline.
These tables show that the results obtained by cubic B-spline are considerable and accurate with respect to the cubic spline and are more or less similar to the quintic spline.
The feasibility of applying Partial Least Squares (PLS) to the Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) spectra of mineral mixtures, quarry sandstones and oilfield reservoir rocks has been investigated and shown considerable potential for accurate and precise mineralogical analysis.
However, there are considerable difficulties for accurate quantitative measurements due to beam hardening and radiation scattering effects.
Despite considerable ongoing efforts, accurate computational simulation of the flow behavior of (unvulcanized) rubber remains an open challenge.
There has been considerable effort towards accurate representation of the feasible operation range and different metrics have been proposed in literature to quantify the operational flexibility.
It is shown that previous assumptions are valid only in some types of piezoelectric materials, while in other types these assumptions lead to considerable deviations from accurate modeling.
It is shown that the reduction in computational time can be considerable as very accurate results can be obtained by using only a limited number of modes.
Most studies of ancient binders acknowledge considerable difficulties in accurate identification due to the degradation of the original compounds, the mixture and interaction of materials present in the preparation, paint and protective layers, and the small sample size [25 27].
Thus, we collected a considerable amount of accurate data versus the amount of noise data.
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