Sentence examples for model this principle from inspiring English sources

To model this principle, we first generated a proposed curve of fitness decline, which describes a general non-linear ~3-fold fitness drop as a function of age using the following equation: F (A ) = F max − (F max − F min 1 + 5200 A e − 0.0031 ) (2) Where F is average HSC pool fitness, Fmax is maximum initial fitness equal to 1, Fmin is minimum end-life fitness equal to 0.3, and A is age in weeks.

However, this principle has a limited validity and in the discrete models, this principle leads to biologically irrelevant results, unless some restrictions are suggested for the parameters.

Theoretically, the error in measurement in the mathematical model of this principle is limited only by repeatability of the standard.

The model approximated this principle by first estimating HIV-negative tuberculosis incidence, and then calculating the 'risk of tuberculosis' function F HIV-negative) = I− / P−, where I− is HIV-negative tuberculosis incidence and P− the number oF HIV-negative individuals susceptible to tuberculosis.

In this model, the principle relationship between TaVRN1 and TaVRN2 has been reversed with respect to earlier models; that is, TaVRN1 negatively regulates TaVRN2 (see Additional file 1, model b).

In this article, we first discuss three levels at which a cortical circuit might be observed to provide a modeler with sufficient information to design a computational model and illustrate this principle with an application to the control of visual attention.

We designed a spiking neuron model which exploited this principle to locate a variety of sound sources in a virtual acoustic environment using measured human head-related transfer functions.

The optimization model based on this principle has successfully yielded estimates of the stem cell number contained on a section of crypt or inter-villi pocket, and they largely agrees with previous speculations [45], [54].

Our final multivariate analysis was based on doubly robust estimation, in which the strongest confounders and the propensity score based on all confounders were included in the logistic model; this model in principle should provide the best control of confounding achievable with these data (20).

A number of different models operating on this principle were developed; all of them required elaborate electronic controls to solve the complex synchronization problem.

Models that follow this principle result in sub-optimal system performance when the transit lines become overcrowded.