Monocytes were sorted (by FACS) into three subsets and cultured overnight.
According to the differences of the image contents, firstly, the images are divided into three subsets: saturation, smoothness and others.
Thus the whole set of kinetic equations can be divided into three subsets, each of which corresponds to one kind of reaction.
Next, two adjustable thresholds are used to split the set of cloud cover indices into three subsets representing clear, partly covered and overcast skies, respectively.
A clustering analysis detects atypical operations and then partitions the whole dataset into three subsets of typical daily profiles of the supply fan modulation.
The findings also break the rankings down into three subsets for each city: one for the aging population overall, one for people 65 to 79, and one for those 80 and older.
The enriched monocytes were then sorted by fluorescence-activated cell sorting (FACS) into three subsets: classical ("CL"; CD14high/CD16−), intermediate ("ITM"; CD14high/CD16+), and non-classical ("NC"; CD14low/CD16+) (Fig. 1a).
Human primary monocytes comprise a heterogeneous population that can be classified into three subsets based on CD14 and CD16 expression: classical (CD14high/CD16−), intermediate (CD14high/CD16+), and non-classical (CD14low/CD16+).
All the images are partitioned into three subsets.
For training ANNs, the data are divided into three subsets: training, validation, and testing sets.
To this end, firms are divided into three subsets according to their energy intensity.
