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The first step consisted in improving an existing random dynamic model by determining optimal dimensions.
An alternative is to precompute superset visibility information about the model, by determining what portions of the model will definitely be invisible for an observer in certain locations.
A key goal of our future studies will be to validate this model by determining the sequence of the DNA bound to the AYVV CP, and thereby the number or position of these loops within the genomic DNA.
We further tested the intergenerational metabolic reprogramming model by determining whether genetic manipulation of the very early embryo (G1) and the paternal germline of the next generation (G2) was sufficient to protect the adult G1 and G2 progeny from the adverse effects of a parental (or acute) HFD.
A case study set in the American Midwest is presented to demonstrate the effectiveness of the proposed model by determining the optimal decisions for generation and transmission of renewable electricity.
To estimate the effect of a hypobaric environment in a lunar base on biological components, such as higher plants, microbes, and algae, cyanobacteria was used as the model by determining their response of growth, morphology, and physiology when exposed to half of standard atmospheric pressure for 16 days (brought back to standard atmospheric pressure 30 minutes every two days for sampling).
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It can, however, be used to help calibrate the simpler models by determining the actual residence time within the catalyst.
Such a method is intended to counter-check previously developed models by determining earthquake scenario events in terms of magnitude distance (M R) pairs or combinations, having defined values of average return period.
Each harvester system is principally modelled by determining a standard I-V characterization (intensity versus voltage); therefore extracting the maximal P-V curves (power versus voltage) point law associated to it.
We examined hysteresis effects in the models by determining patterns of worm breakpoints and system shifts to alternate stable zero- or endemic infection states as initial L3 values are varied [21].
We constructed these linear models by determining the effect of each binary variable relative to the mean ΔGdissociation.
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