The sorption kinetics of Ni and Zn sorption at pH 7.5 were quantitatively modeled via both pseudo first-order [33, 34] and second-order kinetic models [34].
The distance between the true distribution and its estimate is modeled via ϕ-divergences.
Both topics are modeled via fuzzy sets and fuzzy logic, and these refer to suitable systems of MVL.
Traditionally the LVE behavior of bituminous material is modeled via creep/recovery functions.
Data were collected and then modeled via linear regression by fitting the water content values to the T1 values.
Projected changes are based on primary and secondary data sources and modeled via the Forest Vegetation Simulator.
A threat-independent approach or the alternate path method forms the basis of the simulations wherein the extreme event is modeled via column removal scenarios.
The transmit antenna effects are modeled via random low pass filtering which changes the shape of the transmitted pulse to the second order Gaussian pulse.
A non-linear binding activity event is modeled via slight modification of minterm on Eq. (3).
Long-term (i.e., micro and macrovascular) events for each arm were modeled via reductions in A1c levels.
The precedence restrictions between activities are modeled via constraints (3).
