Polysaccharides from pumpkin were extracted by ultrasound-assisted extraction technology using four factors at five levels central composite rotatable response surface design (CCRD).
A prediction model for severe neutropenia was constructed only for the first cycle, using eight factors chosen by the multivariable logistic regression model (Table 2).
This paper improves the above method, designs an adaptive controller by using two attenuation factor, and adjusts the amplitude significantly.
As shown in results, the uncertainties regarding an appropriate processing factor were thus addressed by using two scenarios: a higher processing factor of 0.82 or a lower processing factor of 0.64 for hard and soft wheat, together with actual pasta occurrence data.
It is now possible to derive and maintain pluripotent mouse ES cells without serum factors by using two small molecule kinase inhibitors (2i) in combination with the cytokine leukemia inhibitory factor (LIF) (Ying et al., 2008).
Dependencies were studied by using three main factors (everywhere in the article, uppercase initials identify these factors): Sleep Stage (NREM Stage 2 versus SWS), Origin Location (4 main areas) and Detection Location (4 main areas).
By using three evaluation factors – (i) pesticide exposure, (ii) physiology and (iii) life history – a taxon-specific pesticide exposure risk factor (ERF) was created.
In 2006, the first generation of iPSCs were derived by using four transcription factors (Oct4, Sox2, Klf4, and c-Myc, termed OSKM) (Takahashi and Yamanaka, 2006).
Table 2 summarizes the definition of prediction groups for OHCA by using four prehospital factors.
