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10.7554/eLife.06085.006 Figure 3. Probability defects are present in four mouse models.
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The fourth model that showed a probability defect was Shank3+/ΔC.
This paper proposes a procedure to predict the occurrence probability of defect and the defect size for piles at a site based on coring examinations supplemented with engineers' experiences.
To avoid metal diffusion through the organic film, the author used (i) nanoscale bottom electrodes to reduce the probability of defects on the bottom electrodes and (ii) molecular crosslinked technology to avoid metal diffusion through the SAMs.
The occurrence probability of defect is updated based on results from on-site coring.
In addition, the gas contained in the powders increases the probability of defect formation.
The inspection results from on-site coring have a significant influence on the estimated occurrence probability of defect.
Results from numerical examples indicate that the occurrence probability of defect can be estimated using the proposed procedure in a more rational way.
We propose new path selection algorithms that increase the probability of defect detection by taking into account the variability in path delays.
As the gas flow rate was further raised from 160 to 180 sccm, instability may occur as atoms did not have enough time to move to the right lattice locations, and the probability of defect formation and anisotropy of growth increased owing to the local thermal disturbance and the local imbalance of precursor concentration and pressure.
Here, we present an analytic model that predicts the concentrations of such complexes as a function of point defect concentrations using the probabilities for point defects to encounter and the probabilities for the formation of specific complexes dependent on their formation energies.
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