Sentence examples for mathematical modeling indicates from inspiring English sources

Exact(3)

And in breast cancer, he says, observations of women whose cancer accelerated after breast surgery as well as mathematical modeling indicates that surgery at the site of a dormant tumor can spur it to grow.

Sequestration of the blood-borne toxins onto the nanosphere receptors generates circulating nanosphere-toxin complexes within a short time interval; mathematical modeling indicates prevailing of unbound nanosphere receptors over target toxin concentrations at most therapeutic injection dosages.

However, mathematical modeling indicates that observed ageing curves require retention frequencies above 0.99 per individual ERC (Gillespie et al., 2004), which is higher than what the morpho-kinetic model can achieve.

Similar(56)

The pattern of observed results was accurately predicted by mathematical modeling.In vitro measurements and mathematical modeling indicate that CVVH provides very limited clearance of protein-bound solutes.

Mathematical modeling indicated that sorption and settling accounted for approximately 19% of total triclosan loss over 8 km.

Mathematical modeling indicated that different interfacial tensions in anterior and posterior KV cells are involved in KV remodeling.

Mathematical modeling indicated that it is more effective to increase the self-renewal rate than the proliferation rate in the course of autologous HSC transplantation and this should be mediated by a feedback mechanism [15].

Mathematical modeling indicated that, at current treatment rates, praziquantel resistance will likely take 10 or more years to emerge.

However, while natural selection operates to maintain recombination, mathematical modeling indicated that the known benefits of recombination (on fertility and viability) are insufficient to maintain hotspots in the face of their loss by gene conversion (Boulton et al. 1997; Pineda-Krch and Redfield 2005; Peters 2008).

The value of R2 > 0.99 for the present mathematical model indicates the high correlation between observed and predicted values.

A correlation coefficient R2 > 0.90 for the present mathematical model indicates a high correlation between observed and predicted values.

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