BACKGROUND Individual characteristics and socioeconomic strata (SES) are important determinants of health differences. We examine health inequalities in Russia and estimate the association of demography (gender and age) and SES (working status, income, geography of residence, living standard, wealth possession, and durable asset-holding) with perceived health over the period 1994-2012. METHOD...

Political, social and economic transitions that occurred as a result of the regime change in Eastern Europe and the Russian Federation from the late 1980s to the early 1990s led to a sudden increase in mortality across the region, with more than 80% of deaths being attributable to preventable causes, such as cardiovascular disease, lifestyle factors and injuries. The Russian Federation has expe...

An immature female worm, Dirofilaria immitis, was isolated from the scrotum of a 14-month-old child. This is the first identification of human dirofilariosis caused by D. immitis in a relatively Northern region (Moscow) of the Russian Federation. The parasite was diagnosed by means of morphological examination of the worm, confirmed by PCR assay. This case raises questions about the range of th...

Personality traits are complex phenotypes influenced by interactions of multiple genetic variants of small effect and environmental factors. It has been suggested that the brain derived neurotrophic factor gene (BDNF) is involved in personality traits. Season of birth (SOB) has also been shown to affect personality traits due to its influences on brain development during prenatal and early post...

The paper deals with the analysis of modus questions used in dialogues of native Russian speakers, discusses their quantitative properties and characteristics. The research focuses on the development of models describing these questions based on the Russian National Corpus and a newspaper corpus. The results obtained can be applied in various fields of natural language processing, e.g. dialogue...

BOLD fMRI is often used for the study of human language. However, there are still very few attempts to conduct longitudinal fMRI studies in the study of language acquisition by measuring auditory comprehension and reading. The following paper is the first in a series concerning a unique longitudinal study devoted to the analysis of bi- and multilingual subjects who are: (1) already proficient i...

In this paper, we present a research of factored language model (FLM) for rescoring N-best lists for Russian speech recognition task. As a baseline language model we used a 3gram language model. Both baseline and factored language models were trained on a text corpus collected from recent news texts on Internet sites of online newspapers; total size of the corpus is about 350 million words (2.4...

There is great variation in the amount of NLP resources available for Slavic languages. For example, the Universal Dependency treebank (Nivre et al., 2016) has about 2 MW of training resources for Czech, more than 1 MW for Russian, while only 950 words for Ukrainian and nothing for Belorussian, Bosnian or Macedonian. Similarly, the Autodesk Machine Translation dataset only covers three Slavic l...