Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measures

very conservative adaptation of above stated model

Physiological impact of nanoporous acupuncture needles: Laser Doppler perfusion imaging in healthy volunteers

Differences between individuals with schizophrenia or obsessive-compulsive disorder and healthy controls in social cognition and mindfulness skills: A controlled study

alpha=.929; Intentionality Bias, alpha=.895; Anger Bias, alpha=.918; Blame Scale, alpha=.908; Aggressivity Bias; alpha=.900

Effect of integrating a video intervention on parenting practices and related parental self-efficacy regarding health behaviours within the Feel4Diabetes-study in Belgian primary schoolchildren from vulnerable families: A cluster randomized trial

Trust development as an expectancy-learning process: Testing contingency effects

100% learning phase contingency repeated measures anova
100% contingency repeated measures anova

Classification of flavors in cigarillos and little cigars and their variable cellular and acellular oxidative and cytotoxic responses

Balance control mechanisms do not benefit from successive stimulation of different sensory systems

State of household need for caregivers and determinants of psychological burden among caregivers of older people in Thailand: An analysis from national surveys on older persons

The socio-economic status gradient in median lifespan by birth cohorts: Evidence from Dutch Olympic athletes born between 1852 and 1947

discrete time proportional hazard rate model

pone.0226269.e001">removedGRAPHIC lambda d (a | c i, g i, x i a, b)=1

Measuring individual differences in cognitive abilities in the lab and on the web

participant numbers differed across test
3 presents cronbach alpha values of individual test

Detecting false intentions using unanticipated questions

An examination of the association between early initiation of substance use and interrelated multilevel risk and protective factors among adolescents