Sentence examples for cge data from inspiring English sources

Exact(1)

We found a good correlation between regions of high 5-HT3A mRNA expression (Fig. 5 C, G ) and high GFP-immunoreactivity (Fig. 5 D, H ). At E13.5, expression was highest in the AEP/Preoptic (AEP/Po) region, whereas discrete labeling was also observed in the CGE (data not shown).

Similar(59)

While the cause of this is not clear, we have previously observed paradoxical increases in the mRNA levels of Notch targets when treating brain tumor cells with high levels of gamma-secretase inhibitors that target Notch, and this may represent a feedback or resistance mechanism of some sort in cells surviving maximal therapy (CGE, unpublished data).

Section 3 describes the CGE model and data used in the present analysis.

LUC GHG emissions are also highly uncertain [ 14] due to large uncertainties in CGE modelling, aboveground carbon data, and SOC content data [ 15].

Clarke and Waschik (2012) employ a static CGE model using GTAP7 data for Australia to examine the effects of a carbon tax and assess whether the scale of carbon leakages and loss of competitiveness in Australian industry sectors warrant concern.

All 3 Robo receptors were strongly localized within the CGE at this stage (data not shown).

An introduction to the CGE model characteristics and the data applied in the study are given in Sect. 4.

The median prescribed dose was 56 CGE (52 64) at 1.8 2 CGE per fraction.

That is, the main source of data for the multi-country CGE model is the GTAP database which is briefly discussed in the following section.

Spatial computable general equilibrium (SCGE) models can be seen as a spatial extension of the CGE framework with at least the same data requirements as IO models (e.g. multiregional IO tables or make and use tables).

The essence of the methodology involves running numerous simulations in a computable general equilibrium (CGE) model for each threat, yielding synthetic data for the estimation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions).

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