The Broader Context of Relational Aggression in Adolescent Romantic Relationships: Predictions from Peer Pressure and Links to Psychosocial Functioning

The broader context of relational aggression in adolescent romantic relationships was assessed by considering the ways such aggression emerged from prior experiences of peer pressure and was linked to concurrent difficulties in psychosocial functioning. Longitudinal, multi-reporter data were obtained from 97 adolescents and their best friends at age 15 and from adolescents and their romantic partners at age 18. Teens’ relational aggression and romantic partners’ victimization were predicted from levels of best friends’ pressuring behaviors toward teens in an observed interaction as well as from best friends’ ratings of how much pressure teens experienced from their peer group. Romantic partner relational aggression and teen victimization were predicted by pressure from teens’ peer group only. Adolescents’ romantic relational aggression and victimization were also associated with elevated levels of depressive symptoms and increased alcohol use. Results are discussed in terms of the connection of relational aggression in romantic relationships to the broader task of establishing autonomy with peers in psychosocial development.

Corneal‐Smart Phone: A novel method to intelligently estimate postmortem interval

The changes of postmortem corneal opacity are often used to roughly estimate the postmortem interval (PMI) in forensic practice. The difficulty associated with this time estimate is the lack of objective means to rapidly quantify postmortem corneal changes in crime scenes. This study constructed a data analysis model of PMI estimation and implemented an intelligent analysis system for examining the sequential changes of postmortem corneal digital images, named Corneal‐Smart Phone, which can be used to quickly estimate PMI. The smart phone was used in combination with an attachment device that provided a darkroom environment and a steady light source to capture postmortem corneal images. By segmenting the corneal pupil region images, six color features, Red (R), Green (G), Blue (B), Hue (H), Saturation (S), Brightness (V) and four texture features Contrast (CON), Correlation (COR), Angular Second Moment (ASM), and Homogeneity (HOM), were extracted and correlated with PMI model. The results indicated that CON had the highest correlation with PMI (R² = 0.983). No intra/intersubject variation in CON values were observed (p > 0.05). With the increase in ambient temperature or the decrease in humidity, the CON values were increased. PMI prediction error was <3 h within 36 h postmortem and extended to about 6–8 h after 36 h postmortem. The correct classification rate of the blind test samples was 82%. Our study provides a method that combines postmortem corneal image acquisition and digital image analysis to enable users to quickly obtain PMI estimation.