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Acupuncture may stimulate self-regulatory processes independent of the treatment objective, points, means or methods used; this would account for acupuncture's reported benefits in so many disparate pathologic conditions.
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Such a structure is less commonly used, but some integration methods use this structure [12, 14].
One major limitation of methods using this approach is that they are protein- and position- independent.
We focus on the first case study and illustrate our methods using this data set.
Pure coalescence-based methods use this complete information (MSVAR, Beaumont 1999).
Global prioritization methods use this network information to compute α by propagating σ over.
Some recombination detection methods use this dependence (de Oliveira Martins et al. 2008) and have been used on viruses.
We call our method using this definition MLRA-RD (Relaying time Duration).
The proposed method uses this estimate of V A (denoted ( {V}_A^{CT} )) in Eq. (1).
A typical method using this assumption is ridge regression best linear unbiased prediction (RRBLUP) [1], [12].
We apply now our method using this data and the randomly generated coordinates.
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