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  38. .00 mm (little macroaggregates), and 0.25 mm (microaggregates
  39. .51 (0.60) NS 21.56 (0.61) NS 20.23 (0.90) NS 20.041 (0.47) NS 20.33 (0.64) NS Distinction in enhance (p-value)largely explained
  40. .52** (-1.02?0.01) -0.51* (-1.03?.02) 6.8th quantile 0.14*** (0.06?.22) 0.06*** (0.03?.09) 0.07 (-0.13?.28) 0.34** (0.02?.67) 0.47*** (0.24?.69) 0.17 (-0.14?.47) 0.47*** (0.14?.80) 0.66** (0.14?.17) 0.55** (0.09?.01) -0.03 (-0.14?.08) -0.05 (-
  41. .52** (-1.02?0.01) -0.51* (-1.03?.02) six.8th quantile 0.14*** (0.06?.22) 0.06*** (0.03?.09) 0.07 (-0.13?.28) 0.34** (0.02?.67) 0.47*** (0.24?.69) 0.17 (-0.14?.47) 0.47*** (0.14?.80) 0.66** (0.14?.17) 0.55** (0.09?.01) -0.03 (-0.14?.08) -0.05 (-
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  43. . Additional, regardless of the above limitations, considerable effort was place into estimating
  44. . BMC Loved ones Practice 2012, 13:122 http://www.biomedcentral.com/1471-2296/13/Page 9 ofAkiyama also
  45. . Moreover and as shown for the
  46. . Okino et al. not too long ago presented a very multiplexed pre-amplification method that
  47. . PANAS: No effect four. STAI-state: No impact Active vs. sham tDCS: 1. Valence
  48. . PANAS: No impact four. STAI-state: No effect Active vs. sham tDCS: 1. Valence
  49. . PANAS: No impact four. STAI-state: No impact Active vs. sham tDCS: 1. Valence
  50. . Responses for the survey had been anonymous, but we tracked the traits

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