Sentence examples for parameter for the prediction of from inspiring English sources
Riverbed hydraulic conductivity (K) is a critical parameter for the prediction of exchange fluxes between a river and an aquifer.
In the Mechanistic-Empirical Pandment Desits Guide (MEPDG) and itsoftwarere Pavement ME, dynamic modulus (E∗) is an essential parameter for the prediction of asphalt pavement distresses such as rutting and fatigue cracking.
In addition, the sensitivity analysis indicated that the ash content of coals was the most effective parameter for the prediction of the ratio of bottom ash to coal burned.
The purpose of this study is to compare the fetal fractions during non-invasive prenatal testing (NIPT) in singleton pregnancies according to gestational age and maternal characteristics to evaluate the utility of this parameter for the prediction of pregnancy complications including gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP).
Similarly, the root mean square acceleration (aRMS) is found to be the most efficient amplitude-related parameter for the estimation of maximum displacements in bilinear and CB structures whereas the peak ground acceleration (PGA) is the most efficient ground-motion parameter for the prediction of peak deformations in PR systems.
The results discussed include transient velocity vector fields, wall shear stress gradient distributions, and a new dimensionless parameter for the prediction of the probable sites of stenotic developments in branching blood vessels.
Beta-N-acetylhexosaminidase sequences were analyzed using SignalP 3.0 [ 84], with default options to predict signal peptide sequences; SOSUI [ 85] and HMMTOP [ 86] with default parameters for the prediction of transmembrane helices; SMART [ 87] to predict the domain architecture.
They may also be parameters for the prediction of neonatal neurosonography findings in newborns with IUGR.
This paper presents two empirical parameters for the prediction of fretting.
The stiffness modulus is one of the most important parameters for the prediction of pavement strength against dynamic loads.
These findings demonstrate that the importance of different parameters for the prediction of bone strength also depends on the mechanical loading.
