Targeted Cooperative Actions Shape Social Networks

Keeping Pace with Your Eating: Visual Feedback Affects Eating Rate in Humans

mean difference=0.35, p<.001, Cohen's d=0.93
mean difference=0.37, p<.001, Cohen's d=1.19
for up-60 minutes after eating F(1,72)=.33, p=.57, eta2(p)=.005

Is Knowledge Regarding Tuberculosis Associated with Stigmatising and Discriminating Attitudes of General Population towards Tuberculosis Patients? Findings from a Community Based Survey in 30 Districts of India

N=3823 towards TB patients among general population from 30

Income and Subjective Well-Being: New Insights from Relatively Healthy American Women, Ages 49-79

multivariate linear regression forward selection analysis

life are 2 highly correlated variables r=0.76975, p<0.0001
ranks 6^th among 6, partialR Sq.=0.0002, p<0.0001; 2

First-Person Perspective Virtual Body Posture Influences Stress: A Virtual Reality Body Ownership Study

Counterfactual Reasoning Deficits in Schizophrenia Patients

Does Effectiveness of Adolescent Smoking-Cessation Intervention Endure Into Young Adulthood? 7-Year Follow-Up Results from a Group-Randomized Trial

difference=+1.1%, 95% confidence interval CI=-3.4-5.8, p=.61
difference=4.0%, 95% confidence interval=-0.2-8.1, p=.06

Associations between Cognition, Gender and Monocyte Activation among HIV Infected Individuals in Nigeria

brief visuospatial memory test revised delayed recall test
brief visuospatial memory test revised total learning test

Legal Professionals' Knowledge of Eyewitness Testimony in China: A Cross-Sectional Survey

Mobile Phone Use Behaviors and Postures on Public Transportation Systems

Solving the Border Control Problem: Evidence of Enhanced Face Matching in Individuals with Extraordinary Face Recognition Skills

Iterative Approximation of Basic Belief Assignment Based on Distance of Evidence

design of efficient combination algorithms

pone.0147799.e001">removedGRAPHIC ∑ A ⊆ Θ m A=1, m (∅)=0</disp formula>If m A>0
pone.0147799.e003">removedGRAPHIC m A=0, if A=∅ ∑ A i ∩ B j=A m 1
pone.0147799.e005">removedGRAPHIC d J (m 1, m 2)=0
A 0 is<disp formula id="pone.0147799.e008">removedGRAPHIC A 0 ≜ ∪ A ' ∉ M, m (A ')>0
by<disp formula id="pone.0147799.e022">removedGRAPHIC nRd A i ≜ 1 l -1 ∑ j=1 l -1
i=1..., L, i.e.,<disp formula id="pone.0147799.e026">removedGRAPHIC s=arg i min d i</disp formula>- Step 4
pone.0147799.e027">removedGRAPHIC m 1 (A 2)=0
d J (m 1, m)=0.4899 When we remove A 2={ θ 1, θ 3, θ 4
obtained is<disp formula id="pone.0147799.e028">removedGRAPHIC m 2 (A 1)=0
obtained is<disp formula id="pone.0147799.e029">removedGRAPHIC m 3 (A 1)=0
d J (m 3, m)=0.0835 When we remove A 4={ θ 3, θ 4
obtained is<disp formula id="pone.0147799.e030">removedGRAPHIC m 4 (A 1)=0
d J (m 4, m)=0.0375 When we remove A 5={ θ 4, θ 5
obtained is<disp formula id="pone.0147799.e031">removedGRAPHIC m 5 (A 1)=0
is mm<- m 4, i.e.,<disp formula id="pone.0147799.e032">removedGRAPHIC m m (B 1)=0
obtained is<disp formula id="pone.0147799.e033">removedGRAPHIC m m 1 (B 2)=0
obtained is<disp formula id="pone.0147799.e034">removedGRAPHIC m m 2 (B 1)=0
obtained is<disp formula id="pone.0147799.e035">removedGRAPHIC m m 3 (B 1)=0
obtained is<disp formula id="pone.0147799.e036">removedGRAPHIC m m 4 (B 1)=0
Randomly generate 1000 BBAs according Algorithm 1. - For each BBA m j, j=1..., 1000