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Both tables show that nanoparticle based methods hold many advantages as compared to existing methods.
The results in both tables show that the proposed methods have good approximation accuracy for the relatively long time domain.
Both tables show that the proposed EDBA-2D and Two-EDBA algorithms managed to pair the azimuth and elevation angles successfully.
Both tables show that our signal transduction model based method generates considerably larger clusters, and the identified clusters by our method have at least 2 orders of magnitude higher P-value than the others on both function and localization categories.
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But while the quality of teachers is improving, the league tables show that is not enough.
Both the tables show that the prospective teachers do not differ significantly in all the six criteria of the dialogue and the monologue.
eat = eating behaviour, dep = depression, ctl = sense of control over eating, anx = anxiety * p < 0.05; ** p < 0.01; *** p < 0.001 For both groups, the tables show that the strongest associations between the variables occurred on the same day.
Government tables show that this achievement gap is even more pronounced for ordinary maths and the three main science subjects.
Experimental results with 1180 HTML tables show that the proposed method performs better than conventional methods, resulting in an average accuracy of 86.7%.
Also, the tables show that the polls vary on age as much as in other states.
The table showed that elements with similar properties often shared the same valency.
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