In the present research, we have studied an influence of enhanced expression TRIM14 on alphavirus Sindbis (SINV, Togaviridae family) infection. In the HEK293 cells transfected with human trim14 gene (HEK-trim14), SINV yield after infection was decreased 1000-10,000 times (3-4 lg of TCD50/ml) at 24 h p.i. and considerably less (1-2 lg of TCD50/ml) at 48 h p.i. Analysis of the expression of 43 genes directly or indirectly involved in innate immune machine in HEK-trim14 non-infected cells comparing with the control (non-transfected) HEK293 cells revealed that stable trim14 transfection in HEK293 cells caused increased transcription of 18 genes (ifna, il6 (ifnβ2), isg15, raf-1, NF-kB (nf-kb1, rela, nf-kb2, relb), grb2, grb3-3, traf3ip2, junB, c-myb, pu.1, akt1, tyk2, erk2, mek2) and lowered transcription of 3 genes (ifnγ, gata1, il-17a). The similar patterns of genes expression observe in SINV-infected non-transfected HEK293 cells. However, SINV infection of HEK-trim14 cells caused inhibition of the most interferon cascade genes as well as subunits of transcription factor NF-κB. Thus, stable enhanced expression of trim14 gene in cells activates the transcription of many immunity genes and suppresses the SINV reproduction, but SINV infection of HEK-trim14 cells promotes inhibition of some genes involved in innate immune system.

New existence conditions of homoclinic orbits for some systems of ordinary quadratic differential equations with singular linear part are found. A realization of these conditions guarantees the existence of chaotic attractors at 3D autonomous quadratic systems. In addition, a chaotic behavior of solutions of these systems is determined by the 1D discrete map

To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The article identifies the role of analytics, based on big data, in improvement of education process and outlines the challenges, related with big data mining, storage, and security. Proposed statements are based on practical experience of the authors; architecture of program and methodological solution are the focus of the article. The article contributes to theory by the new approach to combination of big data and internet of things technologies in educational resources and, at the same time, includes implications for practice, presenting examples of the approach's realization and sharing the authors' experiences of such realization.

The paper deals with the processes of particle and energy transport by localized large-scale drift vortices in the ocean and atmosphere. In the case of nondivergent (in the first order approximation) fluid motions the evolution equation of the rotor of a generalized momentum can be reduced to the Charney-Hasegawa-Mima equation. The same equations are used to describe plasma motions. Vortex solutions of the Charney-Hasegawa-Mima equations are shown to participate in transport processes.

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