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Here we have created a novel mouse CPC model by expressing a stabilised form of c-Myc (MycT58A) and inactivating Trp53 in the choroid plexus of newborn mice.
Since the n-grams context is short and cannot, most of the times, retain information about the syllable structure, marking the (V_mathrm{stressed}) improves the statistical model by expressing graphoneme classes unequivocally.
Gordon and Budianto (1999) specified Eq. 1 into a model form, for radiata pine, that included an upper stem diameter term as an additional tree-level predictor (hereinafter referred to as the DH+ model) by expressing some of the parameters of Eq. 1 as functions of dbh, upper stem diameter at 6-m height and total height.
Thus, using the maximal entropy principle to characterize spike statistics in the gIF model by expressing constraints in terms of spike events (monomials), one can at best find an approximation which can be rather bad, especially if those constraints focus on instantaneous spike patterns ( D = 0 ) or short memory patterns.
We tested this model by expressing an RNAi construct targeting Caf1p55 in rbf1 120a eye discs.
This can be incorporated into the model by expressing the death term as a i.
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Diseases caused by dominant mutations can be modeled by expressing the mutated human gene under the control of a zebrafish promoter.
It may be possible to set up animal models by expressing HERV sequences under the appropriate conditions, mimicking exposure from an endogenous element.
Thus, OPMD has been modelled by expressing mutant PABPN1 transgenes in the presence of endogenous copies of the gene in cells and mice.
We re-ran models excluding outliers with externally studentized residuals > 3. We also applied separate models expressing PBDEs on a total lipid basis, and on a serum basis while including triglycerides and total cholesterol as covariates in models, and by expressing ∑PBDEs on a weight and molar basis.
By employing the Carrera Unified Formulation (CUF), the proposed shell model is obtained by expressing the displacement field as an arbitrary and, eventually, hierarchical expansion of the primary unknowns along the thickness.
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