Sentence examples for model that counts from inspiring English sources

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Our theory applied to a simple energy model that counts A-U, C-G and G-U base pairs separately revealed that about half of chosen known structures could potentially be predicted using this simple energy model.

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The approach implements a bag-of-word model that simply counts the appearance of positive or negative (word) tokens for every sentence.

This places the data on both sides of the model, that is, the counts are on the left side but they are also used to obtain the expected counts on the right side.

First, the whole application flow has been described with a parameterized performance model that enables the counting of operations and transfers according to 25 variables such as the display format, the number and size of objects, etc.

Illnesses caused by the 24 known gastroenteritis pathogens were, in most instances, estimated by using models that scaled counts of laboratory-confirmed illnesses up to an estimated number of illnesses with aggregate multipliers to adjust for underreporting and underdiagnosis factors that contribute to an illness not being reported to public health agencies (1 ).

In addition, they constructed a model that combines these occupancy counts with Google Maps data and computes the optimal "redirection lot" for a driver to be directed to, in the event of over-capacity at the driver's normal lot.

where the graph is represented as a matrix with cells A i, j, which are valued 1 if a link exists between i and j, 0 otherwise; the second term corresponds to the configuration model, that is, the expected counts under the assumption of random connections between the nodes; finally, Kronecker delta δ C i C j has a value 1 if nodes i and j belong to the same community C, and 0 otherwise.

In a model that included either UFP counts or PM2.5 concentrations, the interaction terms were only significant for the percentage blood neutrophils and not for the other measured parameters (Table 4).

But differences in blood cell counts do not explain the observed age acceleration effects as can be seen from the fact that DS status remains a significant predictor of DNAm age in a multivariate regression model that includes blood cell counts and chronological age (Table s1).

For example, if we analyse the disease data such that the deteriorations of many lesions are found simultaneously, we should select the model that can manage the count data approach rather than the gap time modeling of event history analysis.

Since the BoW model is an orderless representation that counts frequencies of visual words from a dictionary, efforts have been made to incorporate spatial information into the model.

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