However, the systems model increased the time-to-solution due to network latency.
Including a relative height term in this linear model increased the proportion of variation in SGA explained to 30%%.
Simultaneously adding E/A ratio and peak Vo2 to the basic model increased the C-index to 0.75 (p <0.0005).
Including midair collisions in the model increased the flux, in extreme cases approximately doubling the strength of the storm, they report online this month in Physical Review Letters.
Its combination with an adenovirus serotype 5 (Ad5 -based vector in the mouse model increAd5 -basedrequency and polyfunctionality of HIvectorinic CD4+ and CD8+ theells.
Adding the lipid profiles to the clinical model increased the area under the ROC curve only slightly (73.2% vs. 72.1%, respectively; P = 0.002).
The addition of E/E′ or E/A to the basic model increased the C-index from 0.70 to 0.72 and 0.73, respectively (all p values <0.0001).
Employing simplified Johnson-Cook material model to simulate mechanical behavior of steel pipelines and considering air in the model increased the simulation accuracy.
In multivariate analyses for predicting the primary end point, adding E/A ratio to a basic demographic and clinical model increased the C-index from 0.61 to 0.62, compared with 0.64 after adding peak Vo2.
Four variables in our regression model increased the likelihood of a head injury in our study sample, male gender, younger age (( overline{mathrm{x}} ) = 82.9 years versus 86 years for all other injuries), prescribed anticoagulants and lack of pre-fall musculoskeletal conditions.
Compared with traditional models, such as the logistic regression model, the probit model, and the ANN, the RF-cost sensitive model increased the total accuracy by 22.23, 22.48, and 9.56%, respectively, and by 16.63, 16.03, and 10.45%, respectively, for the wildfire ignition prediction.
