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First, the explicit sound field calculation approach for the spherical-section phased array and the genetic optimal algorithm are briefly introduced as the optimal focus pattern control methods.
The results of single on and off axial focus, multiple on and off axial foci, half sub-array focus pattern provide further evidence for the 3D focus steering and sub-array mode for avoiding obstacles in focused ultrasound surgery.
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The modeling results obtained from all of the cases showed a remarkably similar flow-focusing pattern at the repository horizon.
Small, non-refractive, circular or ovoid chromatin bodies displaying the same staining and focusing pattern as the main nucleus were scored as micronuclei ([Al-Sabti and Metcalfe 1995]).
The same markers score AHF during the stage of progression, but many AHF in this stage are phenotypically heterogeneous, exhibiting in tissue sections a "focus-in-focus" pattern of marker alteration.
The transferrin isoelectric focusing pattern showed a CDG type 1 pattern in all investigated patients.
Herewith, the interspacing of a curved structure dominates the intensity distribution of the resulting focused pattern.
It is possible that there are subtle variations in this model compared to humans in that some systemic features prevail over a liver focused pattern of injury.
Therefore, any specific intensity distribution of the focused pattern can be obtained by properly selecting the interspacing of adjacent nanobumps, indicating the ultrahigh flexibility for our proposed technique.
Not only the altitude of the focused light pattern is modulated by adjusting the RCs of curved structures, but also the interspacing of adjacent nanobumps in curved structures determine the intensity distribution of the focused pattern.
We found that the percentage of cells positive for G2-distinctive pH3 foci pattern was significantly increased in Trf1Δ/Δ K-Ras+ /G12V p53−/− carcinoma lesions compared to Trf1+ / + K-Ras+ /G12V p53−/− lesions (Fig 4B), suggestive of increased G2 arrest.
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