Issue of Money Laundering Risks Identification in the Activity of the Organizations and Individual Entrepreneurs Engaged in the Mining, Production, Use and Circulation of Precious Metals and Precious Stones

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.Identification of money laundering risks in the sector of precious metals and precious stones is an important element in building an effective risk-based approach of money laundering risk assessment in the country. The article describes a mechanism of information exchange used in risk assessment of the organizations and individual entrepreneurs engaged in the mining, production, use and circulation of precious metals and precious stones. The mechanism is based on modern digital technologies such as a user’s cabinet on the Federal financial monitoring service website. The risk-score is obtained as a result of the analysis of the information contained in the database of Rosfinmonitoring, as well as monitoring and oversight activities conducted by Federal state institution «The risk-score shall be provided to all subjects of the sector allowing them to quickly resolve the shortcomings in their activities. Keywords: money laundering risk, sector of precious metals and precious stones, big data, information exchange, risk assessment, internal control

Cross-domain web author identification

The paper is devoted to the cross-domain web author attribution (identification), where user's messages are obtained from several sources (web-sites). We focused on the problem of one web-site user identification by his messages from another web-site. We found that there is a stylistic difference between the texts of messages created by one user on different web-sites. The possibility of a single feature space forming for texts received from various sources was determined providing sufficient accuracy of linguistic identification. Two subtasks were studied: 1) mixed sources – training and test datasets include messages from mixed sources (web-sites); 2) separated sources – the text messages sources of the training and test datasets do not intersect; training dataset includes texts from one source, test dataset includes texts from another.The experiment results showed that identification accuracy in mixed sources task is 0.82. The accuracy in separated sources task is 0.74. It is concluded that there is a stylistic difference between texts created by one user, but on the various web-sites. But at the same time, it is possible to form a single feature space for text messages received from various web-sites, ensuring sufficient identification accuracy

Age evolutionary dynamics of atopic dermatitis

The article describes evolutionary dynamics of atopic dermatitis (AD) course and clinical features of the disease in different age periods. It analyzes in detail the impact of genetically determined pathogenetic factors and external environment triggers for the development of AD considering patients age. Authors substantiate approach to external therapy, efficacy and safety of methylprednisolone aceponate in AD treatment. © 2016, Pediatria Ltd. All rights reserved

Age evolutionary dynamics of atopic dermatitis

The article describes evolutionary dynamics of atopic dermatitis (AD) course and clinical features of the disease in different age periods. It analyzes in detail the impact of genetically determined pathogenetic factors and external environment triggers for the development of AD considering patients age. Authors substantiate approach to external therapy, efficacy and safety of methylprednisolone aceponate in AD treatment. © 2016, Pediatria Ltd. All rights reserved