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For QSAR models, the weight of a substructure directly correlates with its activity contribution [36].
However, this time we added to the models the weight of the brood mass (instead of the female's body weight) and all interaction terms with the other predictor variables.
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In the case of the ANN models, the weights of the individual models were used for the calculation of the weighted mean value of the weights of the local ensemble model.
Although those symptoms disappeared after the model establishment factors were terminated in the FRD-LC model, the weight of the FRD-LC rats remained lower than that of the rats in the LC model group (Table 1).
We used the library 'nlme' [ 39] in R (version 2.14.0) to build linear mixed-effects models, considering the weight of brood masses produced as a response variable and female's body weight as a covariate.
The initial pressure of the compressed air determines the speed of the train model, and the brake distance depends on the kinetic energy of the model and the weight of magnets on the bottom of the model.
b1≥0, b2≥0 and α≥0 are the parameters of the model, defining the weight of the corresponding term.
Because the model concerns the weight of lower limbs after the time at user left the seat.
Our preferred model combines the weight of 6 factors (i.e. slope gradient, land cover, mean annual precipitation, stream density, proximity to roads and slope orientation).
This dividing and remerging approach enables the constructed interaction networks to be easy-to-visualized without impairing the higher-order property of the model since the weight of edges in the constructed networks are derived from the hyperedge weights reflecting the strength of the higher-order interaction.
In the final model, the weights of selected features were determined that yielded the highest classification accuracy in a balanced subsampling procedure with standard 10-fold cross-validations.
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CEO of Professional Science Editing for Scientists @ prosciediting.com