The social impact in a high-risk community: A cellular automata model

This research examines the spread of criminal behavior and hard drug consumption using a mathematical approach called cellular automata (CA). This CA model is based on two behavioral concepts. Firstly, peer association impacts criminal involvement. Secondly, addiction can heighten criminal activity. The model incorporates four types of actors who interact in a high-risk social community and one intervention method. The actors exert a social influence on each other by encouraging or discouraging drug use and criminal behavior. The intervention method called Incapacitation has a probabilistic impact on the individuals in the model. The results identify the threshold where positive influences on a population reduce the number of high-rate offenders in the community. These results are discussed to further the knowledge about the social influences in a high-risk community and how these influences can effect decisions on offender management.     

Polystyrene-Supported Aminocatalyst Derived from Diarylprolinol for Asymmetric α-Amination of Aldehydes

A new class of polystyrene-supported aminocatalysts with a triazole linker from diphenyl prolinol were developed. Their catalytic activity was tested in the asymmetric α-amination of aldehydes. The substrate scope of this catalysis was studied under the optimized reaction conditions. The reusability of the polystyrene-supported aminocatalyst was demonstrated up to four cycles. Based on the reaction results, a reaction mechanism was proposed for the asymmetric α-amination of aldehydes.