Sentence examples for modeling equations from from inspiring English sources

MGGP and MARS are well-established methods to construct predictive modeling equations from experimental data.

SEM integrates empirical information with mechanistic knowledge by deriving the model equations from known causal relationships, while estimating the model parameters using the available data.

That feature has greatly facilitated the development of our software for the automatic generation of coupled model equations from a generic PBPK template and a library of SBML models (Bois 2009a).

We calculated approximations for 1D unstable manifolds of saddles S having a single eigenvalue with positive real part by solving the simplified model equations from two initial conditions S ± w, where w is a scaled eigenvector (corresponding to the unstable eigenvalue) of the Jacobian at the saddle.

The results of both methods imply that the uncompetitive inhibition kinetics was valid for the amyloglucosidase reaction and the kinetic constants (Vmax, Km and Ki) were 1.48 μmol maltose/min/mg enzyme, 1.91 mM, and 71.42 mM for the model equation from developed program and 1.38 μmol maltose/min/mg enzyme, 1.96 mM, and 94.34 mM for the model equation obtained from the conventional method.

Time course integration was performed to obtain estimated intravesicular concentrations from the model equation for tracer influx (19).

Figure 4b shows that the probabilities predicted with the 1978 1997 logistic regression model equation for epidemic SLEV transmission from 0 to 0.2.

Table 2 provides a list of the best-fit model equations resulting from this analysis.

Times required for solving mixed model equations ranged from 5 min (PC19) to 7 min (FA9).

The full conditional distribution of this vector is then proportional to (A1) Explicitly, (A1) is equal to (A2) Now, by means of appropriate algebraic operations it can be shown [ 24] that (A3) Here, is the solution to the mixed models equations arising from model (10), C -1 is the corresponding inverse coefficient matrix, and r the right hand side.

An original methodology to reformulate these models using equations from shortcut equipment design is proposed.