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More significantly, the model is proposed for the subsequent step of model-based optimization to readily develop optimal antisolvent feeding recipes attractive for pharmaceutical and chemicals crystallization operations.
Significantly, the model reveals a log-dose response consistent with experiments, and suggests that the optimal timing and frequency of applications is highly dependent on the form of the control required.
Significantly, the model includes a calculation of the costs required to establish bulk manufacturing of the current high cost speciality materials components, encompassing synthesis and associated chemical plant design.
Even more significantly, the model also incorporates terms for explaining the variability of catalyst phase distribution with changes in electrolyte composition in the aqueous phase, which subsequently affects the amount of inorganic nucleophile that reacts in the organic phase.
More significantly, the model proposed a method for the separation effect evaluation and the key operational conditions (feed rate and cooling rate) determination which could readily develop optimal crystal layer growth route during industrial crystallization.
Significantly, the model places the E2-ubiquitin subunits centrally and above the Neh2 domain, where they seem poised to participate in Nrf2 ubiquitination (Fig. 4).
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This approach significantly improved the model predictions.
Other variables did not contribute significantly to the model.
Higher order terms significantly increase the model size, yet yield litter gain in denoising results.
It is shown that the adopted pore geometry can significantly affect the model performance.
For trigeminal chemosensory only the pain threshold, not the detection threshold, contributes significantly to the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com