Sentence examples for more precisely simulate from inspiring English sources

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The stochastic version of this model enables us to more precisely simulate processes that include several steps and to investigate the efficacy of different regimes of treatment and switching drugs, e.g. the effectiveness of switching a patient from drug 1 to drug 2 after a fixed number of days of treatment with drug 1 rather than switching at the same rate per day.

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More precisely, we simulate 2000 genes of which 400 are differentially expressed (true positives).

More precisely, we simulated values for v1,…,v k by independent draws from the Cauchy distribution, solved Eq. (1), and checked whether (W^_{ text {train})}(v_{1},hdots,v_{k})) was up to four digits equal to the "training" weights given in Table 1.

More precisely, we simulated 200 000 epidemic trajectories without a vaccine trial from 7 June 2015 until 1 May 2016.

More precisely, we simulated 1000 datasets for each of 10 scenarios to evaluate the magnitude and direction of the influence of outliers on estimates of predictive accuracy for seven contending methods for accuracy estimation in genomic prediction.

More precisely, we simulated K = 3, 4, …, 10 independent, randomly mating populations each of which comprised 100 individuals, where by an individual we mean a sequence composed of L loci evolved over a period of 10,000 generations (see File S1 for exact msms commands used).

Using ESD voltage breakdown testing one can more precisely and statistically simulate actual field failures when compared to testing on-wafer DC ramp-to-failure voltage (Whitman et al., 2004 [3]).

A nonlinear time-dependent electro-mechanical coupling relation for the piezoelectric patches is considered to simulate more precisely response of piezoelectric materials when subjected to large magnitude of electric field.

Thus, the operation process can be simulated more precisely and take the time-variable nature of REGs and load demand into consideration, while easing the burden of planning computation.

Indeed, tumour spheroids represent quite realistically the three-dimensional growth and organization of solid avascular tumours and, consequently, simulate much more precisely the cell-cell interactions and microenvironmental conditions found in tumours, especially nutrient and oxygen gradients.

More precisely, if v is the simulated value, we report as the measured value: vnoisy = v + 0.1 × g1 + 0.2 × g2 × v, where g1 and g2 are Gaussian random variables with standard deviations of 1.

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