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Two models for DSTCs were transformed to apply in FRSLCs, which has found that Lu's model (2013) is appropriate to predict the ultimate bearing capacity of FRSLCs under the whole area loading.
The results indicated that Mixolab™ parameters and statistical methods including CCD and desirability were appropriate to predict the WF replacement levels by SPH and FOS, for producing functional bread with specific volume and firmness similar to control bread.
There remain aspects of the process that require further investigation but until the technology is adopted on a commercial scale, in the context of a commitment to significant reductions in CO2 emissions across all demand sectors, it is neither possible nor appropriate to predict the details of how the process will evolve.
Thus, the ASCE equation may not be appropriate to predict the shear strength of Group A-type materials.
Thus, the first-order model is not appropriate to predict the response; hence the further investigation could be conducted through a second-order model.
It may not be appropriate to predict the error of knee joint measurement for angles greater than 90°.
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Each response has been described by a second-order model that was found to be appropriate to predict most of the responses in every experimental region.
Our study indicates that the Geary Hinkley model, using published statistics, is appropriate to predict response thresholds for the volume of pulmonary lesions on CT.
If the test agent shows good efficacy and also lacks cross-resistance with other agents, then it is entirely appropriate to predict therapeutic response when the agent is used against MDR pathogens that retain susceptibility to the new agent.
However, if the training population consists of individuals from multiple generations, the estimates of substitution effects in the additive model or BSAM will depend on allele frequencies across multiple generations, which may not be appropriate to predict crossbred performance for the purebred candidates.
Linear fit of radial growth curves of A. solani showed coefficients of determination between 0.98 and 0.99, characterizing this model as appropriate to predict λ and μ values for the different assays (Table 2b).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com