The procedure for sub-culturing the suspension was empirically optimised with a view to increasing the number of viable single cells in the suspension population.
The administration manual was developed in English but detailed written information about administration procedures for sub-items was developed in Chinese.
Quantitative information derived from the fitting procedure for the different sub-fractions allowed for the determination of the complex mineralogy of the < 2 μm clay fraction through the identification and quantification of ten clay phases.
Statistical procedures: For each sub-group, we plotted the survival to day 28 and fit distributions with exponential curves using the maximum likelihood procedure.
The same procedure was used for sub-classification of CaP specimens into several dichotomies: patients whose age was ≤65 versus >65; total PSA value at prostatectomy <10 versus ≥10; final Gleason score on fixed whole prostate gland <7 versus ≥7.
The selection procedure for the cases and the sub-cohort, and the exact diagnostic criteria used for CHD and ischemic stroke have been described in detail previously [29], [31], [33] [35].
Furthermore, the decay time and duration at half-width of sEPCS of shell MSNs were longer in master mice than in saline controls (sub-region×behavioral procedure, for decay time, F2, 63=3.21, P=0.0470; for half-width duration, F2, 63=3.35, P=0.0415; post- hoc test, P<0.05, master versus saline in the MSNs of NAc core and shell for both frequency and amplitude).
Adjusted importance weights were then calculated for each element and domain using the same adjustment procedure as for the sub-elements to ensure equal contribution of criticality and frequency.
FC is formalized by the following procedure: Procedure FC(Sub, H, D, A, k max ) (1) For 1 ≤ h ≤ H, compute a perturbed data matrix D(h ) using resampling scheme Sub;.
For each sub-motif of size k, we repeat the foregoing split procedure on each sub-motif to generate [ k / 2 ] pairs of sub-sub-motifs (also called sub-motifs afterwards).
This paper investigates a computational model that combines a frontend based on an auditory model with an exemplar-based sparse coding procedure for estimating the posterior probabilities of sub-word units when processing noisified speech.
