Sentence examples for models discover the from inspiring English sources
Because the state's database of 800,000 well logs is not publicly available, local agencies, consultants, academics and communities looking for safe water supplies must develop their own information in order to develop groundwater models, discover the water quality characteristics of a basin, or determine which wells are likely to go dry.
And some cam models discover that despite the sense of security the virtual platform provides, they still can be blackmailed, threatened with disclosure to friends and family, and pressured to do acts they didn't bargain for.
So, in our study, we used low-dose E2 combined with G15 (a specific antagonist of GPR30) on WT Sprague Dawley (SD) ovariectomy (OVX) rat models to discover the relationship between GPR30 and bone metabolism.
Specifically, we introduced parents' and children's economic resources into the equations separately ("parents' resources model" and "children's resources model") to discover the magnitudes of the influences on coresidence.
The population model is based on a deterministic model, so we can use the deterministic model to discover the causal chain of events that leads to the statistical relationships seen in the database.
The study first examines related previous model to discover the weaknesses and the lacking in the model construction as a guide to develop the new model for WBL design.
For each of the methods, first, the summaries were obtained for the ten models discovered in each of the ten folds, using the patients in the left-out validation subset.
It then used modelling to discover the effects of schools closing half the gap with the top 20% of schools with similar concentrations of disadvantage.
This study was to develop a kinetic model to discover the true reaction mechanism of MPW pyrolysis experimentally and numerically by applying thermogravimetric analysis (TGA) and Matlab software.
So, we considered this results in the clue of drug discovery, and propose database application model to discover the new drug candidates by new uses of the old drugs.
We explore the effects of parameter on the key outputs of the model to discover the most sensitive ones using GSA and partial ranking correlation coefficient (PRCC) and to understand why they are sensitive and others are not based on the biology of the problem.
