Sentence examples for databank based on from inspiring English sources

This process simulator incorporates up-to-date databanks for pure component thermochemical properties based on the American Institute of Chemical Engineers DIPPR data compilation project, as well as a combustion databank based on the JANAF tables, including 60 combustion products and radicals for temperatures up to 6000 K. Finally, ASPEN Plus incorporates several types of reactors.

The databank is based on the global modeling of the line positions and intensities performed within the framework of the method of effective operators.

The CDSS AU drug databank is based on information approved by the Federal Institute for Drugs and Medical Devices and is continuously updated albeit at irregular intervals.

This group used a cohort control matching protocol employing the Traumatic Coma Databank to match subjects based on age, ICP, radiographic findings, and admission Glasgow Coma Scale score.

Based on databank similarities and the prediction of facile translational start and stop codons, full-size protein models were derived for approximately 30% of the manually curated transcripts.

Based on a databank of around 220 measurements collected from the open literature, a correlation for hold-up was derived using artificial neural network (ANN) modeling.

Based on a databank of around 3500 measurements collected from the open literature, a correlation for gas holdup was derived using a combination of Dimensional Analysis and artificial neural network (ANN) modeling.

We reiterate that the data presented come from a series of patients and include the use of cemented and uncemented components, unlike those based on large databanks of northern European registers, which show that cemented components perform better [ 23, 24] or at least as well as [ 25] uncemented ones.

The proposed correlation is developed and validated based on a comprehensive databank of 752 thermal conductivity datasets from open literature.

Based on the obtained databank from the tests, Back Propagation Artificial Neural Network (BP-ANN) and Evolutionary Polynomial Regression (EPR) models are developed to predict the UCS and CBR values.

The hybrid model is based on a comprehensive databank of 531 reliable experimental VLE data that cover binary systems of CO2 + 13 types of short to medium chained alcohols at temperature and pressure overall ranges of 293.15 432.45 K and 5.2 213.91 bar, respectively.