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u j → s i An access of user u j to subject s i. U s i The set of users that access subject s i. N e t s i A complete graph of U s i. SU A binary matrix of subjects and users, the size of which is m × n.
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For each group, the mean functional connectivity matrix was calculated by averaging the N × N (N = 90 in the present study) connection matrix of all subjects.
Our PCA-merge can thus be useful to process the copy number dosage data matrix (of dimension #subjects by #SNPs) and obtain a smaller matrix (#subjects by #CNV regions) for subsequent association studies with a given clinical trait.
For each subject, the dynamics of the normalized EEG spectral amplitude at each electrode and frequency bin were dot-multiplied with the dynamics of each RSN, resulting in a data matrix of 20 (subjects)×10 (RSNs)×75 (frequency steps)×92 (electrodes) covariance values.
In accordance with the findings of the multilevel regression analysis, we subjected the correlation matrix of study variables to a path analysis to determine if the three AAQ subscales acted as mediators between health satisfaction and QOL.
Additionally six movement parameters (translation and rotation around x-, y-, and z-axis) were included in the 1st-level design matrix of every subject as regressors of no interest.
In contrast to comparable percentages of collagen type I in the matrixes of control and distraction group, the picrosinus staining showed that the relative abundance of collagen type III increased dramatically in the deep fascia matrix of rabbits subjected to 2 mm/day distraction (group C and D, Fig 1).
The predictor matrix consists of subject specific information of any kind, and may include a mixture of behavioral factors, genotype, conventional factors, like gender and age, and environmental variables.
Therefore, red areas are found in the periphery of the lungs of both subjects, but a larger proportion is found in subject S12 compared to subject S1. Figure 4 Coronal slices of CV matrices for subjects S1 and S12.
Memory for the letters was tested using a 4 × 3 matrix of letters, and subjects used a mouse to check which letters were presented at encoding in the order of presentation.
Each gait waveform is presented by a matrix, X, which is a 101 (stride normalized data points) by 37 (number of subjects) matrix of a knee moment waveform (knee adduction, flexion, or rotation moment).
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CEO of Professional Science Editing for Scientists @ prosciediting.com