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It is worth at least exploring GM analysis in cache points.
They do not explicitly state the theoretical orientation that leads them to GM analysis.
Such a result indicates that the overall size is an important component of facial variability in the studied population and is likely an important component of respirator fit assessment, but would not be captured by a standard GM analysis that focuses more on pure shape change.
To quantify these defects, geometric morphometric (GM) analysis was employed.
GM analysis of craniofacial shape was performed by microCT.
Values >8 mg/L were classed as 16 mg/L for GM analysis.
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Indeed, a close link with West African populations, also suggested by the Gm system analysis [ 7], is identifiable through the relatively high frequencies of some mtDNA sub-haplogroups as L2a1 (22.5%), L1b (14.1%), L3d (3.5%), L3f1 (3.5%), NRY sub-haplogroups as E1b1a7* (33.3%) and E1b1a8* (21.4%) [ 31, 76].
Loss of σ(s) rendered stationary-phase Escherichia coli more sensitive to the bactericidal antibiotic gentamicin (Gm), and proteomic analysis suggested involvement of a weakened antioxidant defense.
There were 8 principal components (initial eigenvalues >1) abstracted from 30 items of the general module (QLICD-GM) by factor analysis, accounting for 68.1% of the cumulative variance.
For heavy metal analysis, one gm of soil and 1 g of rice grain samples were digested after adding 15 mL of triacid mixture (HNO3, H2SO4, and HClO4 in a 5 : 1 : 1 ratio) with three replicates at 80°C until a transparent solution was obtained [ 33].
For heavy metal analysis, 1 gm of soil and VC samples were acid digested with 20 ml of triacid mixture (HNO3:H2SO4:HClO4::5:1:1) following Allen et al. (1986).
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