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When using histological methods, only a portion of the tissue can be quantified.
With the usual steam injection methods, only a quarter or so of the oil trapped underground can be recovered.
Thus, so far, due to limit of these methods, only a small number of plant microRNAs have been identified.
Amongst these methods, only a few are used to generate "benchmark" results in the atmospheric science community.
Despite the large number of existing methods, only a limited number of them have performed a comparison among sentiment analysis methods, usually with restricted datasets.
There are several problems in the above classification method: Firstly, in some methods, only a little polarimetric information has been used.
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By using a group lasso regularization method, only a few kernels are selected for each feature.
However, because the laser milling is a serial fabrication method, only a small portion of the micromixer channel could be modified with slanted wells.
In our method, only a set of measured data for a photorefractive two-wave mixing set-up with small sinusoidal phase modulation for fixed wavelength is needed.
But interestingly using the proposed method, only a single pixel of the 9 pixels band is detected as artifact and has undergone for correction.
Because of the recent introduction of the Peakforce QNM method, only a few studies have been reported, such as the stiffness mapping of polymer blends [18].
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