A Moment of Mindfulness: Computer-Mediated Mindfulness Practice Increases State Mindfulness

Long-Term and Transgenerational Effects of Stress Experienced during Different Life Phases in Chickens (Gallus gallus)

Understanding the Dynamics of Violent Political Revolutions in an Agent-Based Framework

pone.0154175.e006">removedGRAPHIC A i=1 - exp - w 1
z s 1 - k (p s, r s, n s) P - z s, z s=0, 1

How Live Performance Moves the Human Heart

Overall alpha=0.10, subset alpha=0.10/14 ≈ 0.007

Shared Cultural History as a Predictor of Political and Economic Changes among Nation States

network topologies it may produce biased estimates
prior literature indicating spatial autocorrelation
spurious finding of temporal autocorrelation
two alternative sets of non adjacent time intervals

top models-2^nd preferred BIC difference=2.22, Bayes Factor=4.44; top models-3^rd preferred BIC difference=3.56, Bayes Factor=7.12

A Social Identity Approach to Understanding Responses to Child Sexual Abuse Allegations

Tinnitus Suppression by Intracochlear Electrical Stimulation in Single Sided Deafness - A Prospective Clinical Trial: Follow-Up

Changes in P3b Latency and Amplitude Reflect Expertise Acquisition in a Football Visuomotor Learning Task

Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 Participants

inter correlation between cognitive test
two factorial random intraclass correlation

Visual Mislocalization of Moving Objects in an Audiovisual Event

Effects of Shift Work on the Postural and Psychomotor Performance of Night Workers

Decoding the Attentional Demands of Gait through EEG Gamma Band Features

neighbors k=30. - Decision Tree Learning DTL [58]
each session (2 session x 12 healthy users + 1 session x 3 patients=27 sessions) an 8
e=p ~ +- p ~ - (1 - p ~) n + 4 - z 1 - alpha 2</disp formula><disp formula id="pone.0154136.e011">removedGRAPHIC p ~=n - X ¯ + 2 n + 4</disp formula><disp formula id="pone.0154136.e012">removedGRAPHIC X ¯=1 n - ∑ i=1

The Role of Cognitive Factors in Predicting Balance and Fall Risk in a Neuro-Rehabilitation Setting