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Topology optimisation enables profound insight into the optimal material distribution for a given structural objective, applied loading and boundary conditions.
The thermal efficiency and the temperature distribution for a given microheater were estimated using the finite element method (FEM).
Topology Optimisation (TO) is an optimisation type that calculates the optimal material distribution for a given problem.
When the homogeneity of the distribution for a given spreader with a given fertilizer is inadequate, the spreader settings need to be corrected.
The current density distribution for a given cell voltage is calculated iteratively by coupling it to the local chemical reaction rate.
In this paper, neural networks are used to evaluate the parameters characterizing the statistical distribution for a given response of the structure following an inverse analysis procedure.
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The simultaneous optimisation of cellular metabolic productivity and thermodynamic performance deduces a unique set of enzyme catalysed pathways and flux distributions for a given metabolic product of importance.
Our experimental results demonstrate that, for most commonly used file formats, the observed distributions of exactly ik runs of length k, 1≤k≤n, closely follow the theoretically derived distributions, for a given n.
A persistent change in the distribution is considered to have emerged if and only if the distributions for a given period (e.g., 1955 1984) and all subsequent periods (e.g., 1956 1985, 1957 1986, …, 1976 2005) are different from the baseline distribution, based on a two-sample Kolmogorov-Smirnov (K-S) test at 5% significance6,9,12.
For example, we may use LR statistics to check if the fit using the BMO-W distribution is statistically "superior" to the fits using the BW, MOW, EW, EE and Weibull distributions for a given data set.
Previous studies reported that there are significant gender differences in abdominal adipose tissue distributions for a given waist circumference [ 36, 37].
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CEO of Professional Science Editing for Scientists @ prosciediting.com