Your English writing platform
Discover LudwigExact(6)
A closed-form expression for the MSEE of the pilot-based MAP channel gain estimate from (15) is hard to find, because this estimate is coupled with the (numerically obtained) noise variance estimate.
It is questionable whether the potential estimated in the study by BRAINBOWS [53] is realistic because this estimate is based on the assumption that set-aside land is used, that surplus goods which are exported at the moment are used domestically, and that demand for animal feed goes down because of the use of co-products from food and particularly biofuel processing.
Furthermore, we use the value of 1.08% recovery per decade because this estimate is based on the truly global synthesis of [16], which provides necessary parity for the global scale calculations described herein.
Because this estimate is constrained by our requirement of 2 consecutive measurements at 5 minute intervals, it may be an overestimate.
Because this estimate is dependent on the accuracy of EBV, only sires with more than 50 progeny were used, in order to reduce this source of bias.
Because this estimate is derived from a meta-analysis of multiple screens, the most likely explanation for these false negative is weak or ineffective dsRNAs rather than statistical noise from an individual screen.
Similar(54)
We believe this estimate is conservative because a strict definition of identical IS 6110 RFLP bands was used for clustering, and several RFLP patterns in our study were similar but with ±1 band.
This estimate is conservative because it incorporates both digitizing error and deviations from steady velocity.
This estimate is conservative because reads that did originate from the genome in question will have been eliminated.
This estimate is conservative because the NAMCS only allows for coding of three diagnoses addressed per visit.
While this estimate is imperfect because of possible effects of differences in G-C content, it nonetheless provides a crude estimate.
Write better and faster with AI suggestions while staying true to your unique style.
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