Sentence examples for more general compared from inspiring English sources

Exact(4)

The demand structure in [23] is more general compared to the previously discussed studies [14 16], that is, not necessarily all users require all information.

The stress strain relations for polymer composites undergoing glass transition, which are derived based on the stiffness-growth method (23), (25), are more general compared to the "energy" relations (12) and therefore more accurate in describing the glass transition processes.

Even though the work in [14] exploits the perceptually-important consecutive voiced speech (CVS) segments in a hybrid Mandarin synthesis algorithm, the segments in [14] are more general compared to the suffixes used here.

Our approach is therefore more general compared to a recently published approach, which is based on phasor analysis of spectral images recorded for Laurdan on a two-photon microscope.[ 18] We first exemplified GP spectral imaging on model membranes such as giant unilamellar vesicles (GUVs) composed of different mixtures of lipids.

Similar(56)

This indicates a lack of loyalty to a single brand, and a desire to consume more media in general, compared with their older counterparts.

To be more flexible and general compared to the current software provided in the literature, an interactive software LSSA_CAU is developed to estimate body measurements of livestock based on 3d point clouds data.

The thin-plate spline also demonstrated a deformation zone around the apex with the S-ecotype being more pointed, in general, compared to the E-ecotype.

Vassiliou and colleagues found that Greek women are more anxious in general, compared with Greek men [ 23], which is consistent with much other research on gender differences in anxiety [ 24].

The OR for exposure to six or more surgeries under general compared to fewer than six was 1.44 (95% CI: 0.77 - 2.71) and the association between a cumulative duration of greater than 10 hours of exposure to GA when compared to less than 10 hours was 1.63 (95% CI: 0.53 - 5.04).

Although there are different strategies to tackle this problem, methods that address the problem through the generation of artificial data constitute a more general approach compared to algorithmic modifications.

GloVe is a more general model compared with word2vec.

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