Sentence examples for model more specifically from inspiring English sources

Although it is possible to make the general distribution of subgraphs in an artificial model (more specifically the duplication model) very similar to that of a specific PPI network, there are a number of subgraphs, for example, in the Yeast PPI network, which occur much more frequently than that in the associated artificial model.

On a simplified model, more specifically informed systems signal to the midbrain dopamine neurons the presence of novelty, uncertainty, or learned predictors of pleasure and also unpredicted pleasure.[36] The dopamine signal then engages attention and motivation by telling the striatum to attend and respond mainly to whatever signals came just before.

We modeled the seismicity using 30 shallow (depth ≤ 30 km) earthquakes with M ≥ 5.0 since 1923 in the area of Fig. 3a and using the integrated seismicity model (more specifically, a stationary Poisson model) under the null hypothesis of no seismicity interaction between the Kumamoto and Oita earthquakes.

We suspect this is due to the limitations of the in vitro model, more specifically the absence of immune system factors which are normally present in an in vivo environment.

The coefficients of Y t -1 and Y t -3 had very large log-likelihood ratio p-values regardless of which external covariates were included in the model; more specifically, their log-likelihood ratio p-values exceed 0.1 everywhere and thus were excluded from the final models.

Data are not available to identify specifically the proportion of patients who are in the 'active surveillance' or 'watch and wait' groups, nor is it available in enough detail for each of the risk groups to stratify them in the model more specifically.

The bottom figures represent relations between these two models, more specifically their difference on the bottom left and their 2D spatial correlation on the bottom right.

During the MOD process, accurate surrogate models, more specifically, response surface (RS) models of SEA and PCF of the MCT tubes are established to reduce the computational cost of crash simulations by finite element method.

In this paper we have chosen to use hierarchical Bayesian models, more specifically a model based on Besag, York and Mollié [ 55, 56] (BYM) to analyze the relationship between mortality and small-area deprivation.

A mechanistic model developed based on modification of the concept underlying the classical wake model (CWM), more specifically the generalized wake model, is presented to account for the phase holdup behavior in gas liquid solid fluidized beds.

This can be achieved by using generalized linear mixed modeling or, more specifically, multilevel modeling, which is also called hierarchical linear modeling, mixed-effects modeling, random-effects modeling, and others (see Barkaoui, 2013, 2014 and Cunnings, 2012, for other features and advantages of this method).