Through a novel data set comprising the criminal records of 11,138 convicted mafia offenders, we compute criminal career parameters and trajectories through group-based trajectory modeling. Mafia offenders report prolific and persistent careers (16.1 crimes over 16.5 years on average), with five distinct trajectories (low frequency, high frequency, early starter, moderate persistence, high persistence). While showing some similarities with general offenders, the trajectories of mafia offenders also exhibit significant differences, with several groups offending well into their middle and late adulthood, notwithstanding intense criminal justice sanctions. These patterns suggest that several mafia offenders are life-course persisters and career criminals and that the involvement in the mafias is a negative turning point extending the criminal careers beyond those observed in general offenders.

In the field of research for designing and preparing innovative nanostructured systems, these systems are able to reveal the presence of heavy metals in water samples, and can efficiently and selectively interact with them, allowing for future applications in the field of water remediation. We investigated the electronic and molecular structure, as well as the morphology, of silver nanoparticles stabilized by mixed biocompatible ligands (the amino acid L-cysteine and the organic molecule citrate) in the presence of cadmium and arsenic ions. The molecular, electronic, and local structure at the ligands/silver nanoparticles interface was probed by the complementary synchrotron radiation-induced techniques (SR-XPS, NEXAFS and XAS). The optical absorption (in the UV-Vis range) of the nanosystem was investigated in the presence of Cd(II) and As(III) and the observed behavior suggested a selective interaction with cadmium. In addition, the toxicological profile of the innovative nanosystem was assessed in vitro using a human epithelial cell line HEK293T. We analyzed the viability of the cells treated with silver nanoparticles, as well as the activation of antioxidant response.

This study relies on a new original dataset, the Proton Mafia Members dataset (PMM). The PMM originates from two datasets provided by the Italian Ministry of Justice: the Criminal Records Registry (Casellario dataset) and the Prison Administration Department dataset (henceforth DAP dataset). Formal agreements with the Ministry of Justice made the data available and guarantee the anonymity of all individuals in compliance with current data protection and privacy regulations. The Casellario dataset provided information on the criminal records for individuals convicted for mafia offenses between 1982 and March 2017. 1 The dataset included

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Many illicit markets are transnational in nature: illicit products are consumed in a country different from the one in which they were produced. Therefore, reconstructing the trafficking network and estimating the size of cross-border illicit flows are crucial steps to gain better understanding of these crimes and to enforce actions aimed at countering them. In this respect, the present study outlines a methodology with which to map and size illicit flows and applies it in estimation of transnational cigarette trafficking flows. The proposed methodology traces each step in the paths followed by illicit cigarettes flowing from their origin to the final consumption country and then estimates the quantity of cigarettes moving between each pair of countries. It exploits data on consumption of illicit cigarettes in 57 countries located in Europe, the Middle East, Central Asia, and North Africa, together with data on seizure cases and geographical information for 158 countries worldwide. These data are combined by a function that assigns a likelihood value of illicit cigarettes being transported between any pair of countries. An algorithm is then implemented in order to identify the most likely paths from the origin to the destination country. By merging results for all the different combinations of origins and destinations, this study estimates the size of all cross-border illicit flows and reconstructs a dynamic transnational cigarette trafficking network for the period 2008–2017. The results highlight the multifaceted role of countries in the cigarette trafficking network, the emergence of identifiable cigarette trafficking routes, and the evolution over time of the structure of this transnational illicit network. Finally, the paper discusses how the methodology developed could be adapted to the study of other transnational crimes.