Sentence examples for a certain latent from inspiring English sources

In addition, for many infectious diseases, an individual once infected is unable to immediately infect another, and he undergoes a certain latent period before it can infect others.

First, we calculate a topic-word significance value for each visual word given a certain latent topic to evaluate how the word is connected to this latent topic.

Think of it in terms of a jumble of data without labels, categorization or a sense of context — but with a certain latent value that could be unlocked with proper organization.

A certain latent variable z i (t ) depends on neighboring pairwise factors N i, t−1) from the previous snapshot and N i, t+1) from the subsequent snapshot.

So, first of all, the aim of a LCA is to reduce the complexity of the data by identifying clusters of observed variables, the latent classes, and then, to reduce the heterogeneity of the population of patients by identifying sub populations based on the probability of each of the subjects to belong to a certain latent class.

A relationship is expected between the presence of a particular condition and certain latent traits (Andrade, et al., 2000; Sartes & Souza-Formigoni, 2013).

Accordingly, along with the likelihood of a respondent belonging to a certain group, latent class analysis estimates group-specific utility functions without splitting the sample.

For example, cigarette smoking has been associated with an increased risk of developing IPF, as have certain latent viral infections, including Epstein-Barr virus and herpesvirus (Kelly et al., 2002; Tang et al., 2003).

Finally, there is evidence that certain latent infections of the brain produce nonspecific symptoms such as headaches and seizures.

The key questions which we are addressing: Whether there are certain latent and as yet un-explored features in the nucleotide sequences of the rrs, which can be used to define the phylogenetic limits of a particular genus or species?

The intraclass correlation in this case represents the residual of the latent response variable of each individual candidate; each candidate is conceptualised as having a certain level of a latent trait (an unobserved normally distributed variable).