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Its scale models show an urban core sprawling outwards with thickets of new apartment blocks: cheap housing for the masses built at vast government expense.
Multivariate latent growth curve models show an interrelation between (the development of) non-symbolic and symbolic comparison skills.
All models show an occurrence rate of large earthquakes with magnitude ≥ 6.8 in each cell, and the historical data indicate whether such a large earthquake took place or not in each cell.
In the case of regression our models show an average lower RMSE of 0.12 log units when based on a pIC50 output variable compared to conventional QSAR modeling the same data-set.
The CCSM3 and ECHAM5 models show an increase in the frequency of type A and a decrease in the frequency of type C. The three models are in agreement in terms of a projected decrease in type C in spring.
In summer, all models show an increase in the frequency of type NE and a decrease in the frequency of types SW and W. Furthermore, in two out of the three models, an increase is observed in the frequency of type E, along with a decrease in the frequency of the NW types.
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The models show a progressive aridification.
Most forecast models show a less rosy picture in Florida ― and FiveThirtyEight shows it going for Trump.
For the evaluation of calving traits, multi-trait models show a slight advantage over univariate models.
However, only the three-cluster models show a significant difference between motivators.
Both process models show a congruent pattern to changes in input data.
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