Sentence examples for models that matched from inspiring English sources

Interestingly, the EM approach was able to identify this property, as neither of the flux maps with less than a 60∶40 split ratio were able to retain any models that matched each of the screening phenotypes.

We also evaluated the environmental drivers that affected changes in reproductive phenologies with statistical models that matched individual flowering times with climatic variables for all biogeographic regions of Florida.

A subsequent 20 ns unbiased MD simulation produced an ensemble of TibA models that matched the EM density with a best overall CCC value of 0.87.

Many of the annotations of other Glyma models that matched siRNAs predict their involvement in transcription or physiological processes, such as Glyma13g32810.1, annotated as MADS-box transcription factor 27 which could potentially translate a transcription factor involved in DNA-dependent transcription regulation.

Honda's Insight, for example, offers a less sophisticated hybrid drive-train in a similarly-sized car but at a much lower price, while the European manufacturers are offering advanced diesel models that match or better hybrids for "real world" fuel consumption.

This paper examines a Bayesian Framework for uncertainty quantification in porous media flows that uses a stochastic sampling algorithm to generate models that match observed data.

This gradually guides the colony towards models that match the desired behavior — in our case the production history of the reservoir.

Although normally soft biometrics are not discriminative enough to build a biometric system by themselves, they may aid a biometric system by either helping to reach a better decision by fusing hard and soft information or narrowing down the search by allowing the system to only compare with those user models that match with the soft biometrics [11].

We should construct multi-rate codon models that match the performance of REV in a statistical sense, with comparable likelihood scores, but with sufficiently few parameters to be computationally tractable and estimable from reasonable alignments.

These uncertainties may lead to qualitatively different models that match experimental observations equally well.

In global health, we are concerned with both theory and practice, and are in need of models that match the complex conditions in which we work.