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Even with so much uncertainties, associated to experimental data, modeling development and some unknown initial conditions, it has been shown that it is possible to fit and/or improve model predictions with parameters identifiability procedures.
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Splicemodel predictions with these parameters was rather inclusive, i.e. it generally predicted 3' UTRs of lengths equal to, or longer than, the actual length.
A comparison of numerical model predictions with response parameters measured in fire tests clearly indicate that interfacial bond between reinforcing steel and concrete can influence extent of strength degradation and deflections in RC beams exposed to fire leading to relatively lower fire resistance in the beams.
Our target-site predictions with selected parameters in human and mouse are available as Supplementary Table S9, Supplementary Table S10, Supplementary Table S11, and Supplementary Table S12.
We utilised the RaptorX (Kallberg et al. 2012) tool (from the University of Chicago, US, raptorx.uchicago.edu) for 3D structure predictions with default parameters.
The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior predictions with the parameter characterization presently available.
The experimental data show good qualitative agreement with numerical predictions computed with parameter continuation and time integration methods.
This paper proposes a first-order fuzzy perturbation finite element method (FFPFEM) and a modified fuzzy perturbation finite element method (MFPFEM) for the uncertain temperature field prediction with fuzzy parameters in material properties, external loads and boundary conditions.
Taking this into account, we assessed the prediction with the parameters (left{ {beta _0,beta _1,beta _2 } right} ) obtained under the different econometric models mentioned above, and the implicit forward rates model of our database of bond prices, in three ways.
Finally, CTLPred 32 was implemented additionally for further confirmation about the prediction with default parameters.
The gas-turbine model is validated by direct comparison of the model predictions with the output parameters of a commercial turbine.
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