K.N. Kalashnikova1,2, N.L. Mosienko1,2, A.V. Pirotskaya2 1Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia 2Novosibirsk National Research State University, Novosibirsk, Russia
Keywords: scientific center, science and technology infrastructure, city environment transformation, city environment perception, technopark
The article presents a study of how scientific center’s residents perceive new science and technology (S&T) infrastructure, based on the 2006 and 2021 mass surveys conducted in Novosibirsk Akademgorodok. This research is relevant due to the issues most scientific centers faced in post-Soviet Russia and the need to transform these unique metropolitan settlements. Various projects to transform their environment are implemented with the purpose of solving the problems, among them the creation of technoparks and other new objects of S&T infrastructure. Their success largely depends on social factors, including the public perception of innovations. We consider two projects for new S&T facilities in Novosibirsk Akademgorodok: Technopark (2006) and SKIF Shared Use Center (2021). The perception of these projects by the population was assessed in terms of the following parameters: awareness of the project, attitude towards the project, and negative and positive expectations from the project implementation. As a result, we reveal how these perception parameters differentiate, as well as describe their possible conflict points and dynamics.
I.V. Shchetinina1,2, Yu.O. Derevyanko3 1Siberian Research Institute of Agricultural Economics of the Russian Academy of Sciences, Novosibirsk, Russia 2Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy Sciences, Novosibirsk, Russia 3Siberian Federal Science Center for Agrobiotechnology of the Russian Academy of Sciences, Novosibirsk, Russia
Keywords: Agriculture, Siberian regions, labor resources, human capital, education, wages, working and living conditions
Modern socio-political and economic problems have increased the urgency of agricultural development through modern innovation. Such development is only possible with the availability of highly qualified personnel. However, at present, the rural economy of Russia experiences a shortage of necessary personnel, which is one of the reasons for the slow introduction of innovations and insufficiently rapid advancement of agriculture. This situation is due to the reluctance of young and skilled people to lead a working life in rural areas caused by such problems as low wages, domestic inconveniences, etc. Hence the necessity to work on solving these, preserve and grow human capital in agricultural production, thus filling the agrarian sector with labor resources in the necessary quantity and high quality and fully ensuring the food security in Russia and its regions.
The impact on labor markets of measures to contain the spread of COVID-19 almost immediately became the subject of increased attention to researchers across the globe. Already in mid-2020, analytical materials emerged estimating the magnitude and consequences of pandemic shocks at both the national and subnational levels. In this paper we propose that the shocks that labor markets responded to in 2020 should include not only restrictive measures to curb the spread of COVID-19 but also shocks of independent significance to the fall of several commodity markets. The purpose of the article is to characterize the reactions of the labor markets in Russian resource-type regions to the crisis of2020. We used Rosstat data as empirical basis to present regional labor markets by months/quarters of2020 as compared with the corresponding period in 2019. This study confirms that the Russian labor market has responded with traditional adjustment mechanisms, primarily flexible working hours. Their regulation by the state, on the one hand, helped curb the decline in employment and the growth of ILO unemployment rate, while, on the other hand, registered unemployment rose. At the same time, regional labor markets reacted differently to the 2020 shocks. This was due to the different impact of various recession factors, as well as to the different impact of institutional changes in the regulation of employment. The study revealed differences in the response to the 2020 shocks in the labor markets of resource-type regions with different degrees of resource dependence.
O.P. Burmatova
Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
Keywords: environmental information, environmental monitoring, optimization territorial models, best available technologies, environmental protection
The availability, transparency, and quality of environmental information largely determine the quality of decisions made in the environmental sector, including those related to preventing the negative impact of environmental pollution on human health. Therefore, environmental data should be mainly kept in an open information space. This article examines the current state of environmental information from the standpoint of its availability and transparency and then identifies the critical problems in providing regional studies with data on environmental protection. We analyze why and to what extent it is difficult to provide information on the state of the environment in general and applied regional studies in particular. With an assessment of current legislative provision of environmental information, it is shown that the Law No. 39-FZ adopted in March 2021, which regulates the relations on providing citizens and organizations with environmental information, did not live up to expectations and, according to experts, will not lead to a noticeable improvement in the situation. Its weaknesses are noted and areas requiring further elaboration and refinement are highlighted.
A.A. Akinshin1, N.B. Ayupova2, V.P. Golubyatnikov2, N.E. Kirillova2, O.A. Podkolodnaya3, N.L. Podkolodnyy3,4 1JetBrains, St.Petersburg, Russia 2Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia 3Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia 4Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
Keywords: nonlinear dynamical system, phase portrait, hyperbolic equilibrium point, linearization matrix, periodic trajectory, cycle, mathematical model, circadian oscillator
For a model of circadian oscillator represented in the form of 6-dimensional nonlinear dynamical system, conditions of uniqueness of an equilibrium point, and conditions of existence of a periodic trajectory (cycle) are established. One client-server application is elaborated in order to fulfill numerical experiments with this model on a cloud server, and to visualize results of these experiments.
S.D. Algazin
Ishlinsky Institute for Problems in Mechanics of the Russian Academy of Sciences, Moscow, Russia
Keywords: wave equation, numerical algorithm without saturation, computing experiment
The numerical algorithm without saturation for wave equation is considered. It is supposed that Laplace's operator has the discrete, valid range, and the corresponding matrix of the discrete operator Laplace has the complete set of eigenvectors. The technique speaks the example of the one-dimensional equation, but during statement is shown that the dimension is insignificant here.
The goal of this work is to highlight the advantages of using NonStandard Finite Differences (NSFD) numerical schemes for the resolution of Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs) of which some properties of the exact solution are a-priori known, such as positivity. The main reference considered is Mickens' work [14], in which the author derives NSFD schemes for ODEs and PDEs that describe real phenomena, and therefore widely used in applications. We rigorously demonstrate that NSFD methods can have a higher order of convergence than the related classical ones, deriving also the conditions that guarantee the stability of the analyzed schemes. Furthermore, we carry out in-depth numerical tests comparing the classical methods with the NSFD ones proposed by Mickens, evaluating when the latter are decidedly advantageous.
A.F. Mastryukov
Insitute Computational Mathematics and Mathematical Geophysics Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
Keywords: finite difference, optimal, accuracy, electromagnetic waves, Laguerre method
In this paper, optimum differential schemes for the solution of the Maxwell equations with the use of the Laquerre spectral transformation are considered. Additional parameters are introduced into the differential scheme of equations for harmonics. Numerical values of these parameters are obtained by minimization of an error of differential approximation of the Helmholtz equation. The optimum values of parameters thus obtained are used when constructing differential schemes - optimum differential schemes. Two versions of optimum differential schemes are considered. It is shown that the use of optimum differential schemes leads to an increase in the accuracy of the solution of the equations. A simple modification of the differential scheme gives an increase in the efficiency of the algorithm.
S.M. Prigarin1, D.E. Mironova2 1Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia 2Novosibirsk State University, Novosibirsk, Russia
Keywords: Monte Carlo methods, multiple scattering of radiation, laser sensing, atmospheric clouds, water media, light rings
This paper deals with Monte Carlo simulation of optical phenomena which appear in the lidar sensing of atmospheric clouds and water media. By numerical experiments we study peculiarities of the laser pulse propagation when the light forms expanding ring structures at the expense of multiple scattering.
In this paper, we, first, using the reduction method in the narrow sense (the simple reduction method), have generalized the classical Gauss-Jordan method for solving finite systems of linear algebraic equations to inhomogeneous infinite systems. The generalization is based on a new theory of solutions to inhomogeneous infinite systems, proposed by us, which gives an exact analytical solution in the form of a series. Second, we have shown that the application of reduction in the narrow sense in the case of homogeneous systems gives only a trivial solution, therefore, in order to generalize the Gauss-Jordan method for solving infinite homogeneous systems, we used the reduction method in the wide sense. A numerical comparison is given that shows acceptable accuracy.