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In this study, focusing on fixation procedures, we determined the conditions conducive to improved detection of lacZ activity in deeper areas of whole tissues.
Applying an information-theory-based test (see the Supplemental Experimental Procedures), we determined that the basal firing activity of each of these facilitated cells did indeed encode significant (p < 0.05) information about binocular irradiance.
To ensure that differences in the dynamic ranges were not due to contrasting normalisation procedures, we determined the dynamic range of the RNA-seq data following a quantile normalisation strategy, which is comparable to the quantile normalisation used for the microarray.
After isolation of S. aureus in 8 national laboratories using standardised procedures, we determined in one central laboratory whether the isolates were resistant or susceptible to a range of commonly used antibiotics in primary care, using cut-off points from the Eucast guidelines [ 4, 27].
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After this procedure, we determined that the five components of service value adequately represent the responses provided by the cloud computing participants.
After conducting an example case following the proposed procedure, we determined an ideal color scheme for six construction states of a 4D model for plant construction.
To further evaluate the consistency of the procedure, we determined from a different set of observatories the position of the focus for solar cycle 20, which has a maximum amplitude of SSN similar to solar cycle 23.
Using a CART procedure, we determined cyclin E and Ki-67 cutoff scores for metastasis prediction.
Using this procedure, we determined that cell proliferation was uniform in all IPF and control cell lines, with an approximate doubling time of 1 day.
From this "fitting" procedure, we determined the total amount of time (i.e., duration) a given topography was observed for a given condition across participants.
To evaluate our filter procedure, we determined potential non-chloroplast contaminants in this filtered dataset using an extensive cross-correlation to more than fifty published proteomics papers on Arabidopsis subcellular fractions, as well as information extracted from TAIR, from SUBA [53], and other literature.
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