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The results show that the symmetry-saliency model compares substantially better with the human data than the contrast-saliency model.
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These results show that the maximum SNP variances were substantially larger for the BSSVS model compared to the BayesC model.
Furthermore, the error in near term predictions of new cases through time was also substantially greater under the standard model compared to the behavioral models.
For pesticides with more than 50% of measurements below the limit of detection (chlorthal-dimethyl, iprodione, and phosmet), associations between dust concentrations and agricultural use were substantially greater based on estimates from Tobit model compared with linear regression models.
Also noteworthy is the substantially smaller credible intervals obtained from the HH model compared with those from the other models, which is consistent with the simulation study results.
As important markers to evaluate liver function, the serum levels of AST and ALT in CCl4-induced model group substantially elevated compared with blank control group, while DWYG treatment significantly inhibited the increase in serum levels of ALT and AST induced by CCl4.
Eliminating non-significant climate variables and incorporating land cover and land use variables substantially improved the fit of the final model when compared to the climate models, as indicated by a substantial reduction in DIC (Table 2).
Moreover, they can substantially reduce computational requirements of mixed model analyses compared to standard multivariate models, both in variance component estimation and genetic evaluation schemes.
Through a combination of comparative modelling and simulated heating/annealing molecular dynamics (SAMD) simulation in explicit water the model accuracy could be substantially improved compared to comparative modelling on its own as shown by model validation measures.
Engine performance values predicted with the developed ANN model were compared with the actual performance values measured experimentally, and substantially coinciding results were observed.
We found that the extended PBE model generated substantially improved distribution predictions compared to our previous model, with the degree of improvement dependent of the surfactant used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com