Machine learning in the prediction of human wellbeing.

Subjective wellbeing data are increasingly used across the social sciences. Yet, despite the widespread use of such data, the predictive power of approaches commonly used to model wellbeing is only limited. In response, we here use tree-based Machine Learning (ML) algorithms to provide a better understanding of respondents' self-reported wellbeing.

Electroencephalography spectral coherence analysis during cycle ergometry in low- and high-tolerant individuals.

The main objective of this study was to further understanding of the patterns of spectral connectivity during exercise in low- and high-tolerant individuals. Thirty-nine healthy individuals (i.e.

[Molecular epidemiological analysis of hiv infection in northern seaports of Russia].

The results of the molecular-epidemiological analysis of HIV-1 variants circulating in Arkhangelsk and Murmansk - northern seaports of Russia - were presented. In these seaports the HIV-1 variants belonging to subtype A1 were predominant (93% in Murmansk, 83% in Arkhangelsk). In addition to these variants, viruses of other subtypes such as B, C, D and recombinant forms CRF02_AG and CRF03_AB were identifed.

[Prevalence of primary drug resistance in M. tuberculosis in four administrative areas of the North-Western Federal District of the Russian Federation].

The paper describes the results of radiometric BACTEC assay of drug susceptibility of Mycobacterium tuberculosis strains, isolated from 81 new cases of tuberculosis, to first- and second-line antituberculosis drugs in four administrative areas of the North-Western Federal District of the Russian Federation. The results of determination of drug susceptibility to the antituberculosis drugs by the absolute concentration method and the BACTEC method are also compared. Primary drug resistance has been revealed in 58.