The phrase "a term based on" is correct and usable in written English.
It can be used when explaining the origin or foundation of a specific term or concept.
Example: "The term 'biomimicry' is a term based on the study of nature's models and processes."
Alternatives: "a term derived from" or "a term rooted in".
Nanotechnology, a term based on the nanometer, which is one-billionth of a meter, has attracted investment not only from privately held start-ups, but also from giants like I.B.M., General Electric and DuPont, which are eager to exploit the potentially valuable properties of materials so small that their dimensions can be measured in molecules.
It is obtained by combining the Langevin-statistics-based theory of Arruda and Boyce (AB) with a term based on the first invariant of the generalized deformation tensor which follows from some theoretical treatments of the constraint effect.
As mentioned above, the Recent engine converts each journal title to a term based on its scope to effectively utilize it as the user's research interest; the author's names are simply obtained from the MEDLINE database.
To ensure this did not affect our results we ran an additional analysis that included a term based on this assessment as a categorical covariate as part of our sensitivity analyses (see Appendix).
In many cases a GO term can be inferred from just one other annotation, but occasionally a curator can also infer an annotation to a term based on evidence from multiple sources of evidence/GO annotation.
However, for the longer carbon length chains, where the log Kow predictions were >6, an overprediction was observed that was easily corrected by including a term based on carbon number.
Firstly, the expected proportion of infected captured individuals is taken as a function of risk factors plus a random term based on a centered binomial distribution.
A penalty term based on a localization operator is therefore added to improve the recovery of jet noise sources.
An observer is designed which contains a corrective term based on a second-order sliding mode control algorithm featuring global convergence properties.
By introducing a correction term based on a given protein characteristic, the ratio of the relative hydrophobic and hydrophilic character of the binding site, the accuracy of target prediction was improved by 27% (i.e., from 57% to 72%).
The sediment transport is modeled by a depth-averaged advection diffusion equation with a source term based on the concept of equilibrium sediment concentration (Galappatti and Vreugdenhil, 1985): (4 where C is the depth-averaged concentration of suspended sediment.
