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Although some of the applied methods suggested that a low proportion of HS was present inside Great Egret nests, those results were not consistent among methods, thus, were not taken into account for our final inferences.
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The method thus is an attractive alternative to the commonly used non-linear "black-box" techniques such as artificial neural networks.
The QC samples were used to evaluate the method reproducibility, and thus were treated separately.
New methods should thus be investigated and then developed.
The frequency of inadequate adherence is usually underestimated by pre-electronic methods and thus is clinically unrecognized as a frequent cause of failed treatment or underestimated effectiveness.
Extensions of artificial viscosity methods have thus been used in the past.
Overall, a mix of complementary empirical methods might thus be the most promising approach (Weimann, 2015).
Different prediction methods can thus be compared with ease.
New computational methods will thus be required to address this shortcoming.
Specialized kernel methods have thus been developed for this learning problem.
BLSOM is an alignment-free clustering method, and thus is the most suitable method for this metagenomics analysis.
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