Sentence examples for build a sequential from inspiring English sources

Data from GCPS and WYMPI (Q2a and 2b) will be used in order to build a sequential multidimensional picture of the pain's impact on individuals.

First we have built a sequential structure model which reveals to be irregular in time processing.

We have used TreeNet algorithm, which typically generates thousands of small decision trees built in a sequential error-correcting process to converge to an accurate model given by Salford Systems (SPM 8.0).

The models were built in a sequential fashion, first with an unstructured random effect, then with a spatially structured random effect, and finally with both structured and unstructured random effects (a so-called "convolution prior" model).

Our data support the notion that Nedd4 adopts a simple sequential-addition model to build a chain on a substrate; after the first ubiquitin is attached, the chain is elongated through Lys 63 linkage, because of the ability of the N-lobe to maintain the growing polyubiquitin chain in close proximity.

Alternatively, Ufd2 could first build a branch point before continuing to catalyze the sequential addition of Ub through K48.

But it is far easier to build a map of your inner world if you take sequential steps.

A common way of specifying multilevel models is to build them in a sequential manner [ 13], starting with a non-conditional (empty) model to partition variance across levels and assess its statistical significance [ 25].

Results indicate Japan has built a domestic aircraft industry through sequential learning with foreign technology transfers from the United States, and design and production on domestic fighter aircraft.

Camera-based 'full field' methods (that record the image data in parallel) can be discerned next to scanning methods (that build up distributions in a sequential manner by scanning a beam of radiation over the surface of an artefact).

Consequently, we report the unadjusted and fully adjusted models to give a perspective on the potential confounding due to observed covariates, and build models in sequential steps from being most to least parsimonious.