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FF modelling is affected by several kinds of uncertainties and Hydrological Ensemble Prediction Systems (HEPS) are designed to take those uncertainties into account.
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The accuracy of a material model is affected by the constitutive equations and the values of the material parameters.
When a regression model includes class variables, the complexity of the model is affected by the number of levels of these class variables.
The proposed analytical model is affected by the intensity of leaders, the intensity of members, and the thresholds for DL and UL which are the important factors of service quality.
However, the performance of the LCC prediction models is affected by different types of uncertainties (i.e., aleatory or/and epistemic uncertainties).
For reinforced sections, the difference between the two models is affected by the reinforcing condition and is even smaller than the unreinforced cases.
In many engineering applications, a physical model is affected by a relatively large amount of uncertainty in the input data including, e.g., the model coefficients, the excitation term, initial/boundary conditions or the geometry of a model.
Here, the Courant constant reflects the portion of a cell that a solute will traverse by advection in one time step and the stability of the numerical model is affected by the value of Courant parameter.
The subsequent development of higher-order self-regulation is jeopardized and the formation of internal models is affected.
The cardiac developmental program in the ES cell/EB model is affected in the absence of sik1.
Distinct from the widely known and extensively studied CR rodent models in which food is restricted after weaning, lifespan in our rodent models is affected by maternal protein restriction during pregnancy and lactation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com