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The resulting Stress Discontinuity model can fully characterise active and passive stress states within bulk material.
The proposed model can fully explain the character of low frequency curves in the root coherence.
This model can fully represent the previous geological interpretations, comprehensively show the realistic conditions of the subsurface reservoir and greatly reduce the uncertainty of the model.
In principle, not even the best two-part decomposition model can fully achieve both goals regarding the desired properties of the cartoon and texture component simultaneously.
Generally speaking, the integrated model can fully reflect the spirit of the expectation disconfirmation model and take advantage of planned behavior theory.
It is worthwhile mentioned that this model can fully describe the dynamic characteristic of network and always guarantee the newest control input executed by the plant, which makes that the plant can be controlled in real time.
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Both models can fully utilize a variety of data types, such as spatial, temporal, geographic, and demographic data, to make predictions.
Currently, no animal models can fully recapitulate the pathological changes in human AD patients (Ashe and Zahs, 2010).
It is very likely that none of the existing mouse models can fully recapitulate the neurocognitive impairments of humans with DMD (D'Angelo and Bresolin, 2006).
Unfortunately, none of these models can fully reproduce the features and symptoms of human OA, owing to the complexity and heterogeneity of the disease.
Due to their probabilistic nature these models can fully account for multiple mapping reads, complex biases in the sequence data, sequencing errors, alignment quality scores and prior information on the insert length in paired-end reads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com