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An interactive clothing system is one of the basic components of virtual reality. The clothing is implemented via design of two‐dimensional garment panels and putting the panels on an actor in a realistic way. We show how to ease this time consuming task by appealing to a hybrid cellular automaton as a parallel computing device. We draw our approach on a fact that the draping fabric bears a feature of natural parallelism. At a very short time scale behavior of any node point of a fabric depends only on the behavior of its closest neighboring node points. Therefore distant regions of the fabric can be simulated independently. Basing on the problem's natural parallelism we design two‐dimensional network of uniform locally connected hybrid automata that execute in parallel a particle model of draping behavior of clothes on a standing mannequin.

The salvation of human life is the goal of work for all rescue units. At the same time, a significant part of rescue operations is carried out in buildings or premises, which themselves are often in a state of destruction or are emergency ones. This paper aims to find how it is possible to carry out rescue operations in the face of the threat of constant collapse of the building.

To study the collapse hazard of the building, the information systems are used that display the process of rescue measures in case of a threat of deformation of the building in which there is a risk of burnback or destruction.

The findings show that the analysis of destruction parameters online allows using infrared sensors to form a picture of the allocation of places where people can be and thus saves lives while reducing the risk for the fire and rescue unit. To implement the presented format, it is proposed to use infrared sensors.

The use of infrared sensors allows online interaction with foci of dangerous situations and identifies the main aspects of the stratification of the preparation of the fire and rescue unit’s activities in conditions of increased danger.

The purpose of the paper is to study the problem of socio-economic inequality from the positions of the neo-institutional economic theory, to determine the causal connections of emergence and manifestation of this problem as a barrier on the path of sustainable development and to develop institutional measures for its solution based on state regulation.

The scientific and methodological basis of this research is based on regression analysis, which is used for creating and analyzing the regression curves. For the fullest coverage of countries of the world and provision of high representation of the research results, the objects of the research are countries from each category that were distinguished according to their position in the global rating of countries as to the index of sustainable development, calculated and compiled by Sustainable Development Solutions Network (2019).

It is substantiated that financial inequality is a result of violation of the principles of social justice—primarily, in the labor market. The institutional approach, which is used for studying the problem of socio-economic inequality, allows presenting this problem as a result of the action of social institutes with own system of rules and norms and offering the institutional measures of regulation, which are to influence the rules and norms in society in the labor market. Due to this, the object of regulation is not the consequence but the reasons—and better and long-term results are achieved.

It is proved that social justice is the key condition of overcoming socio-economic inequality, formation of inclusive society and achievement of balance of the global economic system—thus opening a path to sustainable development. Four “institutional traps” are determined, which establish the practices of violation of the principles of social justice in the system of norms and rules of behavior of the labor market's participants. The authors determine perspectives and directions and offer measures of state regulation of the institutes of socio-economic inequality for its overcoming and provision of sustainable development of national economy and the global economy.