Sentence examples for models of the influence from inspiring English sources
Targeting this problem, this paper summarizes the process used by the authors to find better models of the influence of subgrade and unbound base course layers on the performance of flexible and rigid pavements.
Empirical research in this area lacks the theoretical and methodological rigor to test causal models of the influence of treatment on reducing PCAs, and effects of PCAs on recidivism.
A comprehensive trial with 28 single track optimisation runs was carried out to develop models of the influence of three processing parameters, laser power, laser traverse speed and powder feed rate, on powder deposition efficiency, dilution and porosity.
The researchers analyzed populations to determine the role of genes using simplified mathematical models of the influence of genes and the environment on each other, and with no biochemical signal of the disorder to guide them.
Moreover, we believe that this work is only the beginning of mechanistic models of the influence of communication on memory.
In agreement with previous models of the influence of diffusion on gene expression [ 40, 41], we assumed that the amplitude and speed of the gene displacements in space can be neglected compared to the mRNA and protein, so in our simulations, the genes are immobile and only the mRNAs and proteins move via Brownian motion (with identical diffusion coefficients).
Debates in the Society concerning the causes of the ice ages led Arrhenius to construct the first climate model of the influence of atmospheric carbon dioxide (CO2), published in The Philosophical Magazine in 1896.
Special attention is paid to modeling of the influence of viscoelastic pipe supports.
In this paper, we consider a model of the influence of atmospheric infrasonic waves on VLF magnetospheric whistler wave excitation.
On the basis of these rules, a prediction parameter modified model of the influence function was proposed, which is suitable for different values of unconsolidated soil layer thickness.
The advantage of using MIDAS regression is in the flexible and parsimonious modelling of the influence of the rain and flow on trends in water quality variables.
