Sentence examples for model and invariant from inspiring English sources

In the analyses, a dipole model was used for the geomagnetic field model and invariant latitude was referred from the "orbit datasets" provided by the Akebono project team.

After scanning and low-level quantification using Microarray Suite (Affymetrix), DNA Chip (dChip) analyzer [10] was used to estimate expression values, using the PM/MM difference model and invariant set normalization.

dChip was used to estimate expression values by using the perfect match/mismatch (PM/MM) difference model and invariant set normalization [ 21].

The array signal intensity CEL files were processed by dChip 2005 [ 23] (Build date Nov 30 , 2005 using the PM/MM difference model and invariant set normalization.

Given the low level of variant sites in our dataset, for the remaining analysis we used GTR as base model and invariant proportion of 0.97 for both the ML and Bayesian analyses.

The phylogeny of each group was constructed from the concatenated DNA sequences of these genes using MRBAYES [ 61] (200,000 generations sampled every 100 generations with a Γ distribution model and invariant class).

The methodology proposed in the chapter is similar in intention to that of Agile MDA/Executable UML, although it is recommended to start from a more abstract CIM/PIM consisting of a data model and invariants, in place of the explicit message passing of Agile MDA models.

When the invariant measurement weight model and the invariant structural weight model were compared, the fit indices were significantly reduced and χ2 difference was significant (∆χ2 = 14.700, ∆df = 6, p < .05).05

As a result of the multi-group comparison, the fit indices for the unconstrained model and the invariant measurement weight model were not significantly different (∆χ2 = 7.008, ∆df = 15, p = .957), indicating that the measurement weights for the two involvement groups were not different.

It is worth mentioning that we solely present variables included in our main model and time-invariant sociodemographic variables.

These were used for phylogenetic reconstructions and non-parametric bootstrap using maximum likelihood (ML) method implemented in phyml (Guindon and Gascuel, 2003) using the WAG model plus gamma and invariant (WAG+Γ+I) as the best-fit model of the viral DdDp evolution that was determined using the Bayesian information criterion (BIC) implemented in ProtTest version 1.2.6 [34].