Sentence examples for sequential map from inspiring English sources

Exact(6)

In case of a significant link between AKI at H72 and sequential MAP values as disclosed by ANOVA, a post hoc t-test was used to find out time-points at which MAP was significantly different between noAKIh72 and AKIh72 patients.

The sequential map μ ∘ ψ K n : Γ → ( V n → ) R : Γ ↦ μ = μ Γ = μ ( ψ K n ), is also called a quantum probability and is represented by the same symbol μ , where K and V are as previously defined.

As a result, the above sequential MAP procedure represented in (25) is only a theoretical solution of the Bayesian statistical inference, and it is almost impossible to derive in practical applications, so we should resort to a flexible method to approximate the complex distribution.

This became particularly important in low probability areas, which would be considered as "safe" if seen in the blue-yellow-red diverging map (Figure 1E), but would still be considered as having a potential to be impacted on the red-yellow sequential map (Figure 1A-D): My first impression of that [diverging map] is, blue would be safe.

To convince parents the state posted an incomprehensible and unbelievable multi-pathway sequential map showing a fifteen-step review process with forty-five sub-steps along the way.

In particular, trophic factor deprivation models of neuronal cell death involve a sequential MAP kinase cascade including the MLKs (mixed lineage kinases), MKK 4 and 7 (mitogen-activated protein kinase kinases) and JNKs (c-Jun N-terminal kinases) 14– 20.

Similar(54)

Similar sequential mapping was performed for snRNA, scRNA, tRNA, rRNA, and piRNAs.

At the sub-map level (low level SLAM), 3D sequential mapping of natural landmarks and the robot location/orientation are obtained using a top-down Bayesian method to model the dynamic behavior.

Here we describe a method to monitor changes in habitat types by producing sequential maps based on point information followed by mapping using a multinomial logit regression model with abiotic variables of which maps are available as predictors.

Shown are sequential maps of precipitation rate (color shading) and lower troposphere geopotential height (contours).

We used a sequential mapping pipeline that mapped approximately 95% of all reads to the Drosophila genome.

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