Sentence examples for models incorporating more from inspiring English sources

Plantar pressure predictions from barefoot, shod, and shod with insole simulations using simplified models were compared to those obtained from CT-based FE models incorporating more detailed representations of bone and tissue geometry.

Clearly, models incorporating more biology and possessing more general growth patterns than exponential or Gompertz dynamics are required to explain such phenomena.

36 38 We found that discrimination of two other basic models KORA basic 35 and DESIR clinical equation 39 which were not included in the list of Noble and colleagues, 8 approximated performance of the models incorporating more predictors.

Compared with the existing analytical models of EDCA, the proposed model incorporates more features of EDCA into the analysis.

Made of graduated tiers of wafer-thin Capiz shells -- one model incorporates more than 6,000 -- threaded onto metal rings, it shimmies and shakes from Redd's kitchen ceiling like a sequined miniskirt, right above a regal little French banquette.

This model incorporates more than 150,000 household observations from the Consumer Expenditure Survey, as well as cross section and time series variation in prices from the Consumer Price Index, both compiled by U.S. Bureau of Labor Statistics.

Specifically, by accounting for vacancies as material species rather than just holes in the oxide lattice, the model incorporates more plausible expressions for interfacial reactions and associated kinetic rate expressions.

In our future studies, it is suggested to enhance the ontological vector model by incorporating more algorithmic elements from information content model, which spans an essential dimension of assessing the semantic similarity [ 20].

In the future, we will develop the current model by incorporating more constraints and improving optimization methods to enhance the FER performance.

In critically analyzing their model by incorporating more plausible biology (allowing transient three-sided cells, re-examining the weights used to describe a random axis of division, and introducing a Markov process model for asynchronous division), we have consistently found significantly worse agreement with the "universal histogram".

When SF models were based on high stringency of marker selection (P = 1e-04), aggregating of the appropriately thinned maps (2 ∼5 cM inter-marker distances) seemed to slightly improve model fit by incorporating more predictors in the ensemble.