Sentence examples for more reasonable methods from inspiring English sources

Especially in montanic region, unpleasant geological condition confines engineers in working out more reasonable methods to stop water seepage, even leakage.

Such limits on calories are not feasible in most oncologic settings, and more reasonable methods to achieve the metabolic effects of CR, without the potential of severe malnourishment and toxicity, include IF and CHO restriction [ 107].

In addition, this model can provide a more reasonable method to optimize hydraulic fracturing considering non-Darcy flow effect.

The data presented here explain the synergistic action of multiple enzyme families at a molecular level and provide a more reasonable method for functional annotation, which can be further applied toward the practical engineering of chitinases and chitosanases.

We adopted a more reasonable method to calculate the background value's upper and lower bounds and then take four strong earthquakes (Qinghai earthquake, Honshu earthquake, Hotan earthquake and Nepal earthquake) as examples to prove the effectiveness of the sliding PCA method.

In order to clarify which method estimates more reasonable errors, both methods are applied to data contaminated with systematic errors in order to simulate hypocenter determination with an unsuitable velocity model.

Curve fitting exaMTLSs are given to prove the better performethodof AMTLS method than MLS method and MTLS method.

Since only the basic elasticity equations of the plates are used, this method eliminates the need to pre-determine the deformation function and is hence more reasonable than conventional methods.

An assumption that the non-linear method is more reasonable than the linear method when canopy reflectance is used to establish the yield prediction model was proposed and tested in this study.

The movie script, subtitle analysis and annotations can be combined with the character appearance to discover and construct the characters network so that a more reasonable and efficient method can be developed in the future.

It was concluded that predicted fatigue properties by the trained neural network model seem more reasonable compared to approximate methods, which were formerly suggested based on tensile material data.