Suggestions(5)
Similar(60)
The κ-ɛ based models were more likely to produce the reverse swirl than the RSM model.
The respondents who received VCT through the facility based model were more likely to receive the service because they wanted to know their sero-status (OR = 11.6 95% CI = 7.2, 18.7).
The female respondents who received VCT through the facility based model were more likely to have had pain or burning on urination and itching around the vagina (OR = 1.5 95% CI = 1.1, 2.2 and OR = 1.9 95% CI = 1.4, 2.6 respectively).
The Tree based model is more efficient in dealing with missing values and given that the two approaches identify a nearly identical subset of useful explanatory variables, the possibility that the missing values are having an undue influence on the final regression model is remote.
Optimal solutions based on physics-based models are more reliable than those from "lumped" parameter or ad hoc approximations.
In general, mass transfer-based models are more suitable (R2 more than 0.90) for East Azerbaijan (EA), WA, AR, Gorgan (GO), GI, MZ, (north of Iran), and BU (south of Iran).
Although it is commonly accepted that regression-based models are more flexible and predict better than those that are cell-based [ 4- 6], in our case the classification of the population based on diagnoses by CGR categories shows a similar predictive ability to the ACG-PM system, which uses a mixed system of categories and regression.
The results indicated that ANN-based models are more effective than the regression models and can easily be implemented in a spreadsheet, thus making it easy to apply.
The results indicate that the proposed SVM-based models are more well-performed, robust and efficient than the existing BPN-based models.
The results show that while differences between turbulence models are typically small with respect to the prediction of global parameters such as ejector inlet mass flow rates and Mass Entrainment Ratio (MER), the k ω SST model generally performs best whereas ε-based models are more accurate at low motive pressures.
A final important point concerns the question why AAV-based models are more powerful in producing neuro-degeneration than transgenic models expressing the same wild-type Tau4R isoform [41] or Tau.P301L mutant [23] at similar near-physiological levels.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com