Age Estimation of Infants Through Metric Analysis of Developing Anterior Deciduous Teeth

This study provides regression equations for estimation of age of infants from the dimensions of their developing deciduous teeth. The sample comprises 97 individuals of known sex and age (62 boys, 35 girls), aged between 2 days and 1,081 days. The age‐estimation equations were obtained for the sexes combined, as well as for each sex separately, thus including “sex” as an independent variable. The values of the correlations and determination coefficients obtained for each regression equation indicate good fits for most of the equations obtained. The “sex” factor was statistically significant when included as an independent variable in seven of the regression equations. However, the “sex” factor provided an advantage for age estimation in only three of the equations, compared to those that did not include “sex” as a factor. These data suggest that the ages of infants can be accurately estimated from measurements of their developing deciduous teeth.     

Externalizing and oppositional behaviors and karate-do: the way of crime prevention. A pilot study

Childhood disruptive behaviors can be precursors to later deviance. To verify the efficacy of karate, a complex psychomotor activity that enhances self-regulation and executive skills, as an intervention for externalizing behaviors, 16 children, ranging in age from 8 to 10 years, and meeting diagnostic criteria for oppositional defiant disorder were studied. Eight were randomly assigned to a 10-month Wa Do Ryu karate program, whereas 8 children received no intervention. The children were assigned to a larger karate class, composed of typically developing youngsters. Three domains of temperament--intensity, adaptability, and mood regulation--were measured at the beginning and the end of the training period in all 16 participants. A significant improvement in temperament scale scores was measured in the karate group for all tested items compared to controls. Karate, when properly taught, can be a useful adjunct in multimodal programs aimed at externalizing behavior reduction.     

Integration information in the judicial field: adding versus averaging models

Abstract

In the course of a trial, the main task that every judge or juror has to face concerns the evaluation of various pieces of evidence from a variety of different sources, with the aim of integrating such data into a single, final verdict. Algebraic models have tried to explain and predict decisional paths by identifying formal, mathematical combinatory rules. The aim of the present research was to test two main integration information models, namely adding and averaging, when combining items of judicial evidence. In the first study, we investigated how the probability of guilt varied as a function of the value of the pieces of evidence and information presented, in legal and not legal professional samples. In the second study, we analysed combinatory rules with more complex and realistic experimental material. Results indicated that participants summed the values of pieces of evidence in a linear fashion when they had to provide estimates of guilt. We found evidence of an adding rule among both legal and not legal professionals as well as in simple and more complex judicial cases, thus providing even stronger support for the use and the generalization of a summative model. Theoretical and practical implications are discussed.