Sentence examples for which gives weight from inspiring English sources

Exact(2)

, which gives weight to the idea that T-Mobile is not just growing, but completely reinventing itself.

A pluralistic communicative system, which gives weight to considerations of mercy as well as retribution or desert, would only punish to the extent that the punishment was justified (not to the extent that it was deserved) since mercy toward the offender might recommend punishing her less than she deserves according to justice.

Similar(57)

The movie scooped up six other statuettes, including one for Fernando Luján, whose slow-burn performance as Nora's ex-husband, José, imbues the movie with a sense of loss — evident at first only in his withering asides, calculated indifference and finely tuned resentments — which give weight to the story's complications.

The fitting is carried out by the weighted least square regression, which gives more weight to points close to the target point and less weight to distant points.

(This corresponds to the Carnapian λ-function c0 = 0) which gives total weight to the empirical factor and no weight to the logical factor).

To address the problem of EF as discussed in various reports [38, 54] Sheridan et al. developed an exponential weighted scoring scheme RIE which gives heavier weight in "early recognized" hits [34, 35].

Hence, AGP evaluated health mobility on the basis of the social weights associated with individuals' initial income ranks, which gives greater weight to the health prospects of those who start with lower income.

For the original fits we had used the default weighting option in our fitting software (Origin 8.6), which gives more weight to data points with lower errors.

Similarly, the default value for the weighting coefficient for VM termination w t is 0.75, which gives more weight to the proportional factor for termination P T (k).

The weighting coefficient for VM provisioning w p was set to its default value 0.5, which gives equal weight to P P (k) and D P (k).

To avoid this, the initial decision is smoothed by a weighted average with past decisions, using an exponentially decaying "forgetting factor," which gives more weight to recent segments: (24).

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