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The metric indicates that the factor "project name" is very important for Data source 2 and the factor "component" is very important for Data source 3.
In Table 8, it can be seen that for the both index, it has R B>R A>R C, which indicates that the factor B has greater influence on test results than A, and A is greater than C. The factors can be ranged as follows: pile space, pile diameter, row space.
19 (25) 73 (30.648648 Physician-related factors ED physician involved (19) 28 (36) 52 (21) 0.01 Admitting specialty Medical (the rest being surgical) 72 (94) 232 (94) 0.776 Corrected OR (odds ratio, 95% confidence intervals) of >1 indicates that the factor is associated with higher odds of completing all goals.
The result of Bartlett test of sphericity shows that it is highly significant (significance = 0.000), which indicates that the factor analysis is correct and suitable for testing multi-dimensionality. Therefore, the above statistical tests have confirmed that the proposed 22 items and 7 dimensions of instruments as listed in Table 3 are sound enough for the further analysis.
As the ost1 mutation does not affect plant stature, despite having open stomata, this indicates that the factor influencing plant size is not the degree of stomata opening.
This indicates that the factor responsible for mGluR-independent effects is not a universal property of (S -3,5 DHPG from AS -3,5Scientific, but thus far has only been founDHPG multiple samples from one bAscent Scientific
Similar(45)
The analysis indicates that the factors most strongly associated with the population dynamics of cereal aphids are fertilizer input and mean temperature in February, while the population dynamics of armyworms is significantly related to precipitation in May.
A cross-country perspective also indicates that the factors the paper mentions can at most be a portion of the puzzle.
This indicates that the factors triggering, and thus controlling the frequency of canyon-flushing and canyon-filling events are very different.
It indicates that the factors that can affect polymer chain flexibility have influences on T g.
A greater F-value indicates that the factors adequately explain the variation in the data.
More suggestions(12)
indicates that the coefficient
indicates that the data
indicate that the factor
indicating that the factor
indicated that the factor
has shown that the factor
suggests that the factor
indicates that the forces
indicates that the sources
indicates that drivers
indicates that the reasons
indicates that the causes
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com