equals (13)<disp formula id="pone.0129074.e002">removedGRAPHIC S=1 (n -1) ∑ i=1
by (30)<disp formula id="pone.0129074.e006">removedGRAPHIC S +=lim lambda ->0 (S ' S + lambda r I) -1

Reproducibility of the Structural Brain Connectome Derived from Diffusion Tensor Imaging

step encompassed 14 correlation analysis

b=1000 s/mm^2, TR=10000ms, TE=93ms, 128*128 matrix parallel imaging GRAPPA=2, FOV=243x243
al. [22], who noted an intra site ICC=0.90-0.99

Identifying the Best-Fitting Factor Structure of the Experience of Close Relations - Revised in a Scandinavian Example

Effects of Gender and Personality on First Impression

confidence (6.38+-1.18) compared both neutral (6.16+-1.22; p<.001

Validation of the FEEL-KJ: An Instrument to Measure Emotion Regulation Strategies in Children and Adolescents

correlation coefficient represent pearson product moment correlation coefficient

Integrated Analysis and Visualization of Group Differences in Structural and Functional Brain Connectivity: Applications in Typical Ageing and Schizophrenia

network based statistic method thresholds individual test statistics
partial least squares method considers correlation

TR=2900 ms, TE=60 ms, matrix=64*64, flip angle=90
TR=2000 ms, TE=30 ms, flip angle=90°, FOV=22

The Betrayal Aversion Elicitation Task: An Individual Level Betrayal Aversion Measure

Enhancing Cognitive Abilities with Comprehensive Training: A Large, Online, Randomized, Active-Controlled Trial

effect size=0.255; 95% confidence interval=[0.198, 0.312]
Cohen's d=0.249; 95% confidence interval=[0.191, 0.306]

Variability in Vowel Production within and between Days

Using Psychophysiological Measures to Examine the Temporal Profile of Verbal Humor Elicitation

most cognitively oriented theoretical model

Women's Preferences for Penis Size: A New Research Method Using Selection among 3D Models

penis model removedgraphic dimensions of commercial penile model

One Giant Leap for Categorizers: One Small Step for Categorization Theory

dominant representative of exemplar model
constructive approaches toward studying category model
limitation of standard gradient descent algorithms