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Pure methane is recombined into a typical Manatokan dead heavy oil sample to generate a live oil sample.

Thanks to the light-amplifying properties of the M-plate, the researchers anticipate that only a very small amount of viral protein need be in the bodily fluid sample to generate sufficient fluorescent light for positive identification.

Pure methane, pure propane, and a mixture of methane and propane were recombined respectively into a typical Manatokan dead heavy oil sample to generate live oil samples, four different pressure depletion rates were undertaken for each heavy oil solvent system.

When the 2P excitation was focused at the top of the untreated CdTe sample to generate charge carriers primarily at the surface, a PL decay transient was observed (Fig. 4, green) that is similar to the decay dynamics observed with 1P excitation (Fig. 4, blue).

The method involves the use of an ultrasharp single crystal diamond wedge to cleave a highly ordered pyrolytic graphite sample to generate the graphene layers.

For fixed point C code, it takes 1460 cycles per sample to generate output whereas the optimized code gives output in 16 cycles per sample.

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Interpolation of reference samples to generate a motion-compensated prediction is generally performed for each macroblock that is intercoded [12] and occupies most complexity in motion-compensated prediction.

After the sample preparation process, transmission electron microscopy is performed on cryo samples to generate tilt series of two-dimensional images (micrographs) taken at fixed angular increments.

Traditionally, this method has been applied by using Monte Carlo (MC) sampling to generate the samples of the stochastic variables.

This pool was used to generate the 3 pools, adding 0, 4 or 8 more samples to generate the pools with 4, 8 and 16 samples, respectively (Supplementary Fig. S1A and Supplementary Table S3A).

In brief, starting from the homology model supported by mutagenesis data4, ALiBERO introduced receptor flexibility via Normal Mode Analysis and Monte Carlo sampling, to generate a small subset of receptor models (pockets).

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