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For the same relative random errors in concentration measurements, the diffusion cell method yields effective matrix diffusion coefficient estimates that have less uncertainty than the wafer method.
Here, we discuss strategies to generate robust libraries of 'standard' parts that can be combined with directed evolution and design of experimental methods to yield effective biological circuit design cycles.
This ensures that this toolkit of combined neuroscience-native methods and calculi-based algorithms will yield effective and timely insights for pilot studies of new, previously unidentified, in sense of dynamics and bifurcations, models of individual neurons, as well as other cells, such as myocytes - cardiac tissue cell.
In our semi-supervised method, we use the unsupervised Pairwise Recommendation [9] re-ranking algorithm, which has been demonstrated to yield effective results in image retrieval tasks.
Both methods yielded estimates of effective matrix diffusion coefficients that were within the range of values previously reported for NNSS volcanic rocks.
Both methods yield the same clustering result.
Comparison of results with the exact solution as well as finite element method in the literature suggests that the mesh free radial basis function method yields an effective solution method for laminated composite plates.
Both methods yielded the same results.
The methods yielded similar results.
Both methods yielded predominantly gram-positive bacteria.
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