Exact(3)
The inverse isothermal osmotic compressibility (∂π∂c1T) and correlation length ζ of concentration fluctuations were determined as functions of the reduced temperature ϵ= |TsT−1| near the stability limit, where T is the absolute temperature and Ts is the spinodal temperature.
For each day, three parameters of maximum, minimum, and fluctuations were determined for IOP, BPs, and MOPP in both the sitting and supine positions.
The values of σ and τ, which denote the amplitude and timescale of simulated CheY-P fluctuations, were determined by scanning through a range of values, and minimizing the global, reduced χ (Bevington and Robinson, 2003) from comparisons of simulations to data.
Similar(57)
Minimum variance analysis was applied to find the mirror type fluctuations, and the amplitude of the fluctuations was determined individually.
The spanwise coherence function of velocity and pressure fluctuations is determined by means of additional experiments, and is applied to weight the contributions at different frequencies.
In the model, a full kinetic electron model is applied to the full-f gyrokinetic equation, the multi-species linear Fokker Planck collision operator, and an axisymmetric part of the gyrokinetic Poisson equation, while in a non-axisymmetric part of the gyrokinetic Poisson equation, turbulent fluctuations are determined only by kinetic trapped electrons responses.
The resilience of the system to endure and adapt to natural (e.g. climate change and variability) and human-induced (e.g. land use and management) changes and fluctuations is determined by the status and endurance of the land resource components and their interactions.
The SV model was first proposed by Taylor (1986) This model considered the noise process of the variance equation and that fluctuation was determined via an unobserved stochastic process.
Fluctuation is determined by subtracting the value of the expression of a miRNA in a given sample from the mean expression of that miRNA for all samples; the overall mean of the expression of all miRNAs in all samples can be subtracted from the sample means to determine the fluctuation of a sample mean.
The background CFP fluctuations during FRET were determined from the unbleached control cells present in the same field.
Critical epidemiological characteristics of the disease in Indonesia, such as its geographic distribution and seasonal fluctuations in outbreaks, were determined using the PS data (ILRI 2012).
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