Cross-jurisdictional factors linked to gambling frequency in adolescents from 28 European countries: a machine learning approach.

Adolescents are vulnerable to experiencing problematic gambling, although its prevalence and potential risk factors vary across countries. This study aims to identify cross-jurisdictional factors associated with higher gambling frequency among adolescents in different European countries, using machine learning. Data were obtained from the European school Survey Project on Alcohol and other Drugs (ESPAD).

Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions.

The environmental damage caused by air pollution has recently become the focus of city council policies. The concept of the green city has emerged as an urban solution by which to confront environmental challenges worldwide and is founded on air pollution levels that have increased meaningfully as a result of traffic in urban areas. Local governments are attempting to meet environmental challenges by developing public traffic policies such as air pollution protocols.