Examining the Incidence of and Time to Recidivism Within the Risk Contingency Framework: A 20-Year Follow up Study

This study examined the extent to which the contingencies risk framework (consisting of dispositional, historical, contextual, and clinical domains) predicted detected recidivism (i.e., arrest or conviction). Secondary data were extracted on 413 prisoners who underwent a psychiatric evaluation, were assessed on the risk domains, and followed up over 20 years. There were 273 (66.1%) cases of recidivism for serious offenses (e.g., assaults). Criminal career outcomes examined included: years to and the incidence of recidivism. Statistics showed that chance classification of the incidence of recidivism was 21% more accurate for the recursive partitioning than the bilinear model. These results are consistent with the contingencies risk framework, support its use over linear models, and highlight its predictive utility.     

A stochastic model of the processes in PCR based amplification of STR DNA in forensic applications

In forensic DNA profiling use is made of the well-known technique of PCR. When the amount of DNA is high, generally unambiguous profiles can be obtained, but for low copy number DNA stochastic effects can play a major role. In order to shed light on these stochastic effects, we present a simple model for the amplification process. According to the model, three possible things can happen to an individual single DNA strand in each complete cycle: successful amplification, no amplification, or amplification with the introduction of stutter. The model is developed in mathematical terms using a recursive approach: given the numbers of chains at a given cycle, the numbers in the next can be described using a multinomial probability distribution. A full set of recursive relations is derived for the expectations and (co)variances of the number of amplicon chains with no, 1 or 2 stutters. The exact mathematical solutions of this set are given, revealing the development of the expectations and (co)variances as function of the cycle number. The equations reveal that the expected number of amplicon chains without stutter grows exponentially with the cycle number, but for the chains with stutter the relation is more complex. The relative standard deviation on the numbers of chains (coefficient of variation) is inversely proportional to the square root of the expected number of DNA strands entering the amplification. As such, for high copy number DNA the stochastic effects can be ignored, but they play an important role at low concentrations. For the allelic peak, the coefficient of variation rapidly stabilizes after a few cycles, but for the chains with stutter the decrease is more slowly. Further, the ratio of the expected intensity of the stutter peak over that of the allelic peak increases linearly with the number of cycles. Stochastic models, like the one developed in the current paper, can be important in further developing interpretation rules in a Bayesian context.     

民事裁定分类研究

虽然民事裁定绝大部分都是解决程序问题的,但仍有一小部分涉及实体问题,且即便是涉及程序问题的民事裁定也具有不同的特性而非一模一样。在当前制度框架内的补充和重构是完善民事裁定制度的方式和途径,通过对民事裁定的类型化考察,可以合理界定民事裁定的适用范围并加强裁判方式的规范化,以确保民事裁定充分发挥其作用。