Your English writing platform
Discover LudwigExact(4)
For feeding trial weights, labeled means with no common letters differ within sex and feeding intensity, and means with * differ between feeding intensity within sex (P ≤ 0.05).
(A )/(B ) Two example neurons from DLPFC each showing a transition from encoding action value difference (blue) to later encoding the selected action (red), and influenced by the LFP-derived PC2 single trial weights (cyan) in the intervening period.
In the attempt to generalise the use of I2 to the situation with trial weights being unequal a 'typical' sampling error σ2 of the included trials is assumed [ 10].
It is noteworthy that I = 0% in our study should not be interpreted as homogeneous as I estimates may be unreliable due to lack of power and precision, due to the presence of time-dependent biases, or due to dependence on trial weights and precision [ 49].
Similar(56)
Throughout the trial, weight gain (g) was monitored.
On the 1st and 60th day of feeding trial, weight measurement was taken using an electronic balance (Citizen, India).
At the end of the 8-week feeding trial, weight gain, feed efficiency, feed intake and tissue proximate composition were not significantly affected by dietary CLA.
At the end of the feeding trial, weight gain, specific growth rate, feed efficiency and protein efficiency ratio of fish fed SG and SG + BG were significantly higher than those of fish fed the BG and CONT diets (P < 0.05).
At the end of 8-week feeding trial, weight gain (WG) of fish fed with CP50 and CP60 diets were significantly higher than those of fish fed with CP35, CP40 and CP45 diets.
At the end of the first trial, weight gain in cobia was not significantly impacted by protein levels with values ranging from 333% (50% CP) to 353% (40% CP).
At the end of the 15-wk feeding trial, weight gain (WG), feed efficiency (FE) and survival were significantly higher in fish fed diets containing marine protein compared with fish fed diets containing terrestrial proteins.
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