Poultry farming is actively developed in most countries of the world, as it is the basis for the livelihood of many people regardless of income level. It is a rapidly growing, low-cost industry that does not require much labor. Over the period from 1990 to 2017, the total number of birds in the Russian Federation decreased by 15%. At the same time, the laying capacity of laying hens in large-scale formations increased by almost 32%. If in the 90 years of the 20th century poultry production in Russia began to decline due to the high growth of imports from abroad, from 2000 the market of chicken and egg meat began to grow. In the course of the study, we found that the disparity of prices for energy resources and the cost of agricultural products, and the reduction in the number of able-bodied rural population, are the main deterrents for the development of the poultry industry. The main goal of the development of the poultry industry in the Russian Federation is the creation of an efficient, competitive and optimal in its structure poultry products and raw materials for the processing industry, which will increase the level of self-sufficiency of the main types of poultry products and raw materials, as well as develop exports outside the country. Achieving this goal provides for the development of the poultry industry on an innovative basis based on the preservation of reproduction and improvement of land and other natural resources used in agro-industrial production, increasing the competitiveness of poultry products and raw materials produced.
Разработана математическая и симуляционная модель для моделирования биомеханических движений конечности человека. Разработанный алгоритм модели базируется на биологическом представлении о включении и выключении в процессе удержания положения конечности отдельных мышц или их групп. Работа модели осуществляется за счет генерации случайных чисел (в математической форме симмуляционной модели отсутствуют статические величины). Сравнительный анализ экспериментальных и модельных данных показывает высокую эффективность работы симуляционной модели. Созданная симуляционная модель позволяет изучать принципы работы нервно-мышечной системы. Также модель является масштабируемой, что позволит в дальнейшем перейти к трехмерному моделированию для изучения механизмов самоорганизации биосистемы на уровне и нервно-мышечной системы, и центральной нервной системы.
Mathematical and simulation model has been developed for modeling the biomechanical movements of a human limb. The developed model algorithm is based on the biological presentation and shutdown in the process of maintaining the positions of the final individual muscles or their groups. Work in models is due to statistical values. A comparative analysis of experimental and model data shows the high efficiency of the simulation model. The created simulation model allows to study the principles of the neuromuscular system. This model is scalable, which will allow us to switch to three-dimensional modeling to study the signs of self-organization of biosystems at the level of the neuromuscular system and central nervous system.
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