Sentence examples for possessing distance from inspiring English sources

Exact(1)

For example, forward players possessing distance values 359 and 441 were classified into different positions in the Bundesliga data, whereas they belonged to the same position in the J-League data if they were both assigned to FW.

Similar(59)

The improved performance may be attributed to the ultrathin nanosheet subunits possess short distance for Li+ ions diffusion and large electrode-electrolyte contact area for high Li+ ions flux across the interface.

The ancestral E2F sequence could be found in additional File 4. It was found that human E2F4 and E2F5 possess smaller distance to the predicted ancestral E2F sequence or the E2F-Mb (gi|167523471) compared with human E2F1, E2F2 and E2F3.

Using the threshold that minimized cumulative error at DK2P = 0.00152, the optimal threshold, 60 samples (95%) could be identified to the species level, while three samples possessed intraspecific distances from the references greater than this threshold.

Additionally, many neurons possess long-distance projections.

The latter value agrees well with the crystalline form II as discussed above, whereas the former one better corresponds to an intermediate form I' reported by Roehling et al. [44], which possesses the interplanar distance of 0.41 0.42 nm.

The non-fused five-membered ring structure of 2- 1H-pyrrol-2-yl pyridine (5-HB) is more flexible than the fused six-membered ring structure of 10,11,12- 1H-pyrrol-2-yl pyridineno[8,7-a]carbazole (6-HB) to form the intramolecular hydrogen bond between pyrrole and pyridine, while the six-membered ring structure possesses more favorable distance and orientation between pyrrole and pyridine.

The χ2 distance possesses the property of distributional equivalence [ 38].

The algorithm consists of a divisive phase and an agglomerative phase; during these two phases, the samples are repartitioned using a least quadratic distance criterion possessing unique analytical properties that we exploit to achieve a very fast computation.

In addition, the CNS possess a tunable interplanar distance by intercalation or doping.

The GPCC class has been shown to possess codes with good distance properties under this decoding complexity measure.

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