Sentence examples for studying latent from inspiring English sources
These animal models, while addressing many aspects of human TB disease, lack a cheap and convenient model for studying latent infection and for testing new anti-TB drugs targeting non-replicating persistent Mtb.
Two technical hurdles in studying latent Mtb infection in vivo are the low number of bacilli, which is the quintessential aspect of this infection, and the inability to reliably isolate these bacilli from lungs of a host while preserving their physiological state.
This method provides a comprehensive framework for studying latent variables over time by combining the strengths of structural equation modelling.
That is why some researchers consider BCG infection in mice the model of choice for studying latent mycobacterial infection [ 21, 34, 35].
In the case of EBV, to study latent genes it is first essential to obtain an immortalized cell line latently infected with the mutant virus, which takes place often in combination with wild-type virus if the gene is essential.
Due to these hillocks, whose origin is still unknown, it is presently not possible to study latent ART with SFM.
The studied latent time-series framework not only covers classical ARMA type models and their fractionally integrated generalizations, i.e., autoregressive fractionally integrated moving average (ARFIMA) processes but also allows for inference of time-series with heterogeneous memory properties.
This model is suitable when the experiment does not have multiple farms per environment, and to study latent common factors across environments.
After studying 6Synthetic Latent Predictors from 11 MetS routine biomarkers in a MetS positive population, we develop a novel routine biomarker-based risk prediction model for MetS in urban Han Chinese population.
When studying a latent change, some authors prefer to use as manifest variables the baseline measurements and the time 2 measurements rather than the baseline measurements and their changes [ 16, 17].
In previous studies, latent variables (normally distributed random noise) have been implemented to explicitly incorporate input uncertainty from precipitation data.
