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But the stuff inside the tube is still fairly brittle, and the flexibility provided by the silver only partially overcomes this.The solution, according to Gregory Yurek, the boss of American Superconductor, the company using this method, draws its inspiration from fibre-optic cables.

This method draws from the latest techniques and advances in machine learning, in particular Deep Neural Networks.

This method draws on the fact that patients with PCD have impaired mucociliary clearance as a result of abnormal ciliary motility [12].

This method draws conclusions based on the best available evidence or may conclude that conclusions cannot be drawn considering the currently available evidence [ 18].

This method draws strength from examining all sequenced genomes containing homologs of the desired TR for the clustering of metabolically related genes and their conservation in a cluster (co-occurrence).

This important characteristic has been observed in the initial simulation that this method draws upon, but some possibility still exists that the quantitative predictability of amplification that was observed may be merely a consequence of the particular conditions of this simulation (Appendix 2.2).

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Basically, the users that prefer this method, draw a pattern between the nodes to open the lock in lieu of entering an alphanumeric password.

This biomimetic mineralization method draws attention to the design of organic molecules as templates for controlling the nucleation and growth of mineral crystals and the design of the form of mineral-ion transport.

Rather than relying on a traditional "artificial intelligence" approach of parsing sentences and trying to work out what a question actually means, this quick-and-dirty method draws instead on the collective, ever-growing intelligence of the web itself.

This version of the Path Tubes method draws on a semi-Lagrangian time discretization that employs the Reynolds's transport theorem and a localization strategy.

In this way the approximate Bayesian bootstrap method draws θ from a scaled multinomial distribution rather then a Dirichlet posterior as in the Bayesian bootstrap case.

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