Sentence examples for validates the model that from inspiring English sources

As predicted by the DITH model, lateral membranes of cells along the inside of the wild-type curve are indeed longer than those opposite in which FasIII is not lateralised; this validates the model that supports the DITH approach and is consistent with the increased intercellular adhesion likely to be elicited by FasIII in these cells.

Imagine if Walmart validates the model that The Most Important Company in Silicon Valley No One Has Heard About utilizes by adopting the emerging Direct Primary Care (DPC) model.

The relationship between clades A and B validates the model that a DTU TcI strain contributed to the genetic make-up of the heterozygous hybrid DTUs TcV and TcVI.

However, this problem was mitigated to the least in three aspects: we used leaving-one-out cross validation to validate the model that has been proved to perform well for continuous error measurement [ 37]; the degree of freedom in GAM was set to be less than 10 for most covariates, thus avoiding the over-fitting problem of the GAM.

The good agreement between experimental and numerical results allows validating the model that is then used to calculate the mass of refrigerant contained in all the components of the system, as well as other operational parameters of interest not measured experimentally.

The goal is to validate the models that could be used to determine the neutron flux profiles to optimize the irradiation conditions, as well as to study reactivity insertion experiments and also to evaluate the fuel composition.

In other words, how can we validate the models that vendors use to predict people's influence?

The knowledge of these data is important to validate the models that predict their performance, as well as to establish the design criteria and control strategies that lead to an optimal performance of these machines in air conditioning systems.

The proportion of pixels ranked differently between the model that validated most poorly and the model that validated best was 0.72 0.88 depending on year.

We partitioned each prepared Data source into a training set that includes 80%% of the data and a test set (used to validate the developed model) that includes the remaining 20 %.8 We used the training set to develop the prediction models, or fits, and the test set to assess the goodness of the generated models.

Our objectives were (a) identify prognostic models in traumatic brain injury (b) describe their characteristics (c) investigate their quality and (d) described the models that were validated in an external population.