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To get exact and equal settings of the volume in Windows, we set volume and wave sliders to maximum.
So instead of seeing each other as equals, as we tend to do in more equal settings, we become more judgmental, comparing ourselves to others even more.
The accuracy of prediction might be affected if the optimal levels of input variables, achieved from several design points, end up with equal settings and different corresponding overall desirability.
Instead of accepting each other as equals on the basis of our common humanity as we might in more equal settings, getting the measure of others becomes more important as status differences widen.
All images were obtained using a Leica DC300F CCD camera and digital imaging system for professional microscopy (Leica Microsystems GmbH) at equal settings (magnification ×40, exposure time 1 s and gain 3.2).
Confocal imaging was performed on a Zeiss 510 cLSM, using an Argon laser for excitation at 488 nm and a 515 nm long pass emission filter at equal settings for RNAi-treated and control specimens.
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This suggests that performance was worst in the setting with independent testing, and about equal in settings EXP-2G and EXP-2G*.
On the one hand the reduction of the sample size may affect the generalization of the results, but it allows us to strengthen the analysis by exposing all remaining users to equal experimental settings.
Immunofluorescence of RIP1/RIP3 co-localization on surface preparations was quantified from original confocal images, each taken with a × 63 magnification lens under identical conditions and equal parameter settings for laser gains and PMT gains, using Zeiss Zen software.
Immunofluorescence of RIP1, RIP3, p-AMPK α, CC8, and CC9 on surface preparations was quantified from original confocal images, each taken with a × 63 magnification lens under identical conditions and equal parameter settings for laser gains and PMT gains, using ImageJ software (National Institutes of Health, Bethesda, MD, USA) or Zen Zeiss software.
For Bayesian analyses with MrBayes 3.0b4, prior expectations were set to AAmodel=mixed (priors for all amino acid substitution matrices considered equal) and likelihood settings to gamma-distributed among-site rate variation and proportion of invariable sites.
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