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Thirty-two male Sprague-Dawley rats were divided into four groups randomly: Group 1 with normothermia (control, 37 to 38°C); Group 2 with hypothermia (33 to 34°C on rectal temperature); Group 3 with hypothermic hemorrhagic shock; Group 4 with normothermic hemorrhagic shock.
For instance, Chen et al. use a hash function to randomly group network connections into hash buckets to make the connections in same hash bucket share the same weight [34].
Meanwhile, regarding the problem of too high eigenvector dimension of training set, a feasible approach is to group the features, i.e., to randomly group a feature set into several non-intersecting subsets, and project the originally integral training set into those feature sets, thereby composing several new grouped training sets.
Twelve CIA rats were divided into two groups randomly: group A (i.g. administration) and group B (TP-LHP under microneedles).
These students were assigned to one of three groups randomly: Group A (TBL + LBL, with 41 students), Group B (LBL, with 43 students), and Group C (TBL, with 43 students).
Similar(55)
After 3 d adaption, the rats were divided into three groups randomly: control group, PS group and foot shock group.
Rats were randomly grouped to establish CCI models.
Rats were randomly grouped for establishment of chronic constriction injury (CCI) models.
These mice were randomly grouped and treated with vehicle or Ponatinib by oral gavage.
Twenty five (25) wister rats were randomly grouped into five (A-E) of five animals each.
They were randomly grouped, by their basic information which sex, age, academic level and school size, into one treatment group.
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