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Both models provided excellent linear correlation indicating that they could substitute each other and both showed very good discrimination vis-à-vis the external validation test.
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Simulation models provide excellent instruments for researchers to gain more insight into relevant processes and best agricultural practices and provide tools for planners for decision making support.
Both models provide excellent fit to the whole data (P-values <0.0001).
Conversely, it may also be possible that underlying mortality is increasing because of the severe recession of the Zimbabwean economy, degradation of the health services, as well as increase in other causes of death due to the interaction between HIV and diseases such as TB [25] and malaria[26] Both the cubic spline and log logistic models provide excellent fits to the mortality data.
Utilizing mouse models provides excellent immunological and experimental tools to study oral immune responses.
It was found that Langmuir model showed the best fit with the zeolite 13X and zeolite 4A while Freunlich model provided excellent fit with AC.
This model provided excellent discriminative capability towards LND (C-statistics=0.86, CI 0.76 to 0.95).
This model provided excellent discriminative capability towards END (C-statistics=0.87, CI 0.82 to 0.92).
Experimental validation of the optimal solution showed that the co-culture model provided excellent agreement with measured concentration profiles.
This higher-order six-factor model provided excellent fit to the data (RMSEA = 0.04, CFI =.96, TLI = 0.96).
Further validation indicated that the OPLS-DA model provided excellent predictive power for distinguishing between the sample groups (p =1.7 × 10−6; control vs S. Typhi vs S. Paratyphi A).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com