Sentence examples for data determined through from inspiring English sources

For each GP adopted, the PCDFF is derived in two different ways: (a) by examining data obtained from tension tests only (GLM single application); (b) by collecting data, determined through tension tests and three-point bending tests, into a unique set (GLM joint application).

As a conclusion for the statistical data determined through the ANOVA 5x3x2 technique, the different components of the independent variable (variety, fertilization and seeding distance) and their interaction doesn't influence significantly the Mn content in the analyzed hemp seeds.

Mean absolute error (MAE) and root mean squared error (RMSE) for 9 datasets created using real prokaryotic data determined through ChIP experiments.

Mean site-level sensitivity (sSn), positive predictive value (sPPV) and area under the ROC curve (AUC) for 9 datasets created using real prokaryotic data determined through ChIP experiments.

In the last years, several studies used synthetic genetic interaction data, determined either through synthetic genetic arrays (SGAs) [ 12, 13] or epistatic miniarray profiles (EMAPs) [ 14, 15], to deduce functional relationships between gene pairs, identify sets of genes which function within the same complex or pathway and to predict the function of uncharacterized genes.

Outcome data were determined through a comprehensive perinatal database.

Crack growth history data were determined through the use of quantitative fractography (QF).

The period of the luminescence data was determined through the WaveClock algorithm (Price et al., 2008).

While I don't know what specialty I will pursue, or even where and with what patient population I'll end up working, the ability to sift through data, determine the veracity of sources, and to synthesize a narrative, was the product of an undergraduate curriculum that trained me to think, and these skills have been tremendously helpful both at my job, and certainly in medical school.

Companies and researchers are using machine learning to train computers to sort through data, determining various features or relationships that might be present.

For existing sources, noise emission data must be determined through site measurements, while predictions for green-field developments are usually based on emission measurements from similar existing sites.