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In 2012, (moderate infestation), the natural biocontrol was mainly explained by the natural enemies (species richness, 23.5% of variation) followed by a shared effect of natural enemies and landscape context (15.5%).
Regarding the first objective, our results showed that, in 2011 (high infestation), the soybean aphid natural biocontrol was mainly explained by a shared effect of natural enemies (entomopathogenic fungi, predators, functional diversity) and spatial context (presence of buckthorn, proportion of soybean, crop richness), accounting for 50% of the variation.
Another shared effect of UCP1 expression and FCCP treatment was to substantially elevate net glucose consumption and lactate production.
This allows us to specify how much of the variation of the final model is explained by the pure effect of each factor, i.e. not affected by collinearity with other factors in the model, and which proportion is attributable to their shared effect [36], [62], [63].
Note that all acquisitions used fat saturation pulses, which have a shared effect on multiple images in M-EPI, adding 13 ms, 3.2 ms, and 1.5 ms to the average time per slice for the 1×1, 2×2, and 3×3 accelerations (for the 3 mm resolutions), respectively.
The result of this subtraction represents the shared effect of the two sets of variables.
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It is possible that these shared effects may be produced by the same mechanism.
However, this association might be confounded by genetic and other shared effects.
Theoretically, polymorphisms residing in genes related to estradiol metabolism and action, in this case COMT and ESR1, may have shared effects on estradiol signaling in target tissues.
Hardly any susceptibility genes are known that would explain shared effects in prostate and bladder cancers.
Furthermore, the method partitions these effects to shared effects between the sources and to source-specific effects.
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CEO of Professional Science Editing for Scientists @ prosciediting.com