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The overall precision corresponded to the time-different intermediate precision (i.e. time and repeatability conditions).
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The attenuation of sensory precision corresponds effectively to attending away from the consequences of action.
For a ratio of 100%, this precision corresponds to an interval of 80 to 125%.
In particular, precision corresponds to the fraction of predicted clusters that matches real protein complexes; and recall corresponds to the fraction of real protein complexes that are matched by predicted clusters.
This level of precision corresponds to what has been proposed as a minimal clinically important difference of health-related quality of life measures 59 allowing us to identify clinically significant harm from the intervention if it existed.
Performance, in terms of precision, corresponds quite closely to performance in terms of power: when power is high, the RMS error of the estimated QTL position is low, and vice versa.
Physiologically, precision corresponds to the postsynaptic gain or sensitivity of cells reporting prediction errors (currently thought to be large principal cells that send extrinsic efferents of a forward type, such as superficial pyramidal cells in cortex).
Performance, in terms of precision, corresponds quite closely to the performance in terms of power: When power is high, the root mean square error of the estimated QTL position is low, and vice versa.
Indeed, recoveries and intermediate precision perfectly corresponded with data derived from fetal calf serum deficient MEM samples for BC and all CPs.> -wrap-foot> aThe sample size (n = 15) refers to three SPEs performed on five consecutive days Inter-day precision was based on three extractions per day performed over five consecutive days.
Omitting the relerr argument, or passing relerr=0 (or any relerr less than machine precision ε≈10−16), corresponds to requesting machine precision, and in practice a relative error < 10−13 is usually achieved.
Finally we get an average of the 10 precisions which corresponds to the setting.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com