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The article considers and analyzes issues related to the problems of organizing e-learning, the use of distance learning technologies in organizing the educational process in the extreme conditions of the period of self-isolation in 2020. On the basis of the sociological survey of pupils and teachers the article defines the readiness of the educational organizations, teachers trained to use information technologies in the course of remote/e-Learning in the event of unforeseen force majeure and insuperable circumstances.

In the article, the paper classifies the regions of the Central Federal district level indicators of their socio-economic and demographic situation. Defined the typology of the clusters identified problems of the regions and groups of regions on the basis of what identifies key threats to internal development of the Central Federal district.

In this paper we propose a method toimprove the accuracy of the trend-factormodel on the assumption that the increasein endogenous variable-screens dependnot only on time but also deviations fromtheir trend of exogenous variables, provedby the corresponding formulas that reflect the structure of the dispersion, these remnants of the trend-factor model.

The article considers methods of estimating the values of the common factors for individual observations, make a choice between the three most used methods in practice evaluation of factor values: the regression method, Bartlett method and the method of "ideal settings" Harman. However, these methods cannot be used if the variance of some specific factors equal to zero. A method is proposed for solving the problem in this case. The meaning of the method consists in adding to the original artificially generated variables specific factors, in order to transformed data it was possible to apply the methods of evaluation of factor values. The proposed method is suitable for use in the case of collinearity initial signs that extends the application of factor analysis. More other method considered "ideal settings" Harman. We prove the extreme properties of the method.

The desC gene for the acyl-lipid Delta9-desaturase from the thermophilic cyanobacterium Synechococcus vulcanus was introduced into Nicotiana tabacum under control of the 35S promoter. Expression of the desaturase was confirmed by Western blotting. Lipid analysis revealed that lipid content and the extent of fatty acid unsaturation significantly increased in leaves of transgenic plants. Chilling tolerance of those plants also increased, as estimated by the electrolyte leakage from the tissues damaged by cold treatments. Seeds of plants that expressed the desC gene imbibed at low temperatures demonstrated higher chilling tolerance than those of the control plants. The results demonstrate that the cyanobacterial thermophilic acyl-lipid desaturase was efficiently expressed in tobacco at ambient temperatures, and its expression resulted in the enhanced chilling tolerance of the transgenic plants.