The present study examined the assumption that emotion-related characteristics of mothers and infants contribute to the development of infant-mother attachment in the first year of life. Mothers' emotion and personality characteristics were assessed with expressive-behavior ratings and self-report scales. Infant characteristics were measured by emotion and temperament questionnaires (mother rep...

Regulations are shown to have a significant impact on entrepreneurial activity, especially startups by smaller firms. Higher compliance costs deter small firms entering new industry. In this study, using state-level regulation data in the U.S., we examine whether different types of regulations (including “health and safety regulations”, “employment “tax code”, “licensing “environmental “zoning ...

BACKGROUND Governments use law to constrain aspects of private activities for purposes of protecting health and social wellbeing. Policymakers have a range of perceptions and beliefs about what is public or private. An understanding of the possible drivers of policymaker decisions about where government can or should intervene for health is important, as one way to better guide appropriate poli...

Intensity and duration are two central characteristics of an emotional response. Appraisals and regulation strategies are among the most important determinants of these emotion features. However, as intensity and duration are only moderately correlated, appraisals and regulation strategies may be differently related to these characteristics. A systematic empirical study comparing predictors of ...

This article reports on the development of a conceptual model of teacher emotion through a review of teacher emotion research published between 2003 and 2013. By examining 82 publications regarding teacher emotion, the main aim of the review was to identify how teacher emotion was conceptualised in the literature and develop a conceptual model to illustrate the findings. Interestingly, few pape...

This paper proposes an emotion recognition system from multi-modal bio-potential signals. For emotion recognition, support vector machines (SVM) are applied to design the emotion classifier and its characteristics are investigated. Using gathered data under psychological emotion stimulation experiments, the classifier is trained and tested. In experiments of recognizing five emotion: joy, anger...