Sentence examples for many dynamic models from inspiring English sources

Many dynamic models are used for risk assessment and decision support in ecology and crop science.

Currently, however, many dynamic models include only the mathematical information required to run simulations, and do not explicitly contain the full biological context.

In addition to flux-balance models, many dynamic models of simplified central metabolic networks in yeast also have been developed [ 10, 11], along with full-scale kinetic models specific to pathways such as glycolysis [ 12, 13] and the pentose phosphate pathway [ 14].

Yet, many dynamic saliency models follow a similar simple design and extract separate spatial and temporal saliency maps which are then integrated together to obtain the final saliency map.

Even though the nonlinear damping characteristics inherently pertain to most structural systems, many useful dynamic models are still linear.

Many HIV dynamic models have recently been developed to characterize short-term AIDS treatment, whereas in long-term HIV dynamics, viral load often rebounds in the later stage of treatment primarily due to reduced drug efficacy.

Then we consider a system of functional differential equations that, formally speaking, is a concrete realization of the AFDE and, on the other hand, covers many kinds of dynamic models with aftereffect (integro-differential, delayed differential, differential difference) [[5] [7]].

In this section, we consider a system of functional differential equations with aftereffect that, formally speaking, is a concrete realization of the AFDE, and, on the other hand, it covers many kinds of dynamic models with aftereffect (integro-differential, delayed differential, differential difference) [[2], [6], [10]].

Also, many so-called dynamic models have been published which predict a herd effect in unvaccinated children [ 39, 40].

On the other hand, many economic models are dynamic models.

Differential-algebraic equations (DAE) systems arise naturally from modelling many dynamic systems and are more difficult to handle than ordinary differential equation (ODE) systems.