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The key idea, on which the method relies, is to solve the collision part on a grid and then to solve exactly the transport linear part by following the characteristics backward in time.
The key idea, on which the method relies, is to solve the collision part on a grid and then to solve exactly the transport part by following the characteristics backward in time.
Another approach consists in computing directly the distribution function on a grid by following the characteristics backward in time for one time step and interpolating the value at the feet of the characteristics using the grid point values of the distribution function at the previous time step.
To adjust for the potential confounding effect of socio-economic characteristics, backward stepwise logistic regression was performed, where the variables found to be significant at a p < 0.05 level (educational level, occupation, residence and monthly income) were included in the final model [ 19]. * Adjusted for the effect of educational level, occupation, residence and monthly income.
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To explore differences between the stress levels of parents with and without a child with cancer, adjusting for family characteristics, multivariate backward stepwise regression was carried.
If both systems are minimising prediction error, descending hierarchical projections in the motor cortex should share the laminar, topographic and physiological characteristics of backward connections in exteroceptive (sensory) systems.
Under active inference, descending projections in the motor hierarchy convey proprioceptive predictions and therefore should have comparable laminar, topographic and physiological characteristics as backward projections in exteroceptive (e.g. visual) hierarchies.
To explore environmental factors that might influence the changes in the ratios of TC:HDL-C and LDL-C HDL-C next to R-18 : 1 t intake (such as subject and study characteristics), two backward stepwise partiaLDL-C HDL-Cares (PLDL-C HDL-Cionextere implementod.
Computational simulation by using standard k-ε turbulence model was performed to investigate numerically the characteristic of backward-facing step flow in a concentric configuration.
In the Cox proportional hazards regression, we adjusted the model for confounders that were selected from demographic and clinical characteristics using the backward elimination strategy [ 22].
To construct the most parsimonious models using the full set of candidate independent variables (clinical integration variables and patient characteristics), we used backward stepwise logistic regression, beginning with all available patient clinical characteristics that have been shown to be significant in predicting mortality outcomes for ACS patients in prior studies.
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