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Mikhail Yu. Tsinker

Bio: Mikhail Yu. Tsinker is an academic researcher. The author has contributed to research in topics: Economic efficiency & Service (business). The author has an hindex of 1, co-authored 2 publications receiving 2 citations.

Papers
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Proceedings ArticleDOI
01 Apr 2020
TL;DR: In this paper, the authors developed a sub-model to examine gas flows inside the human lungs that are a two-phase saturated elastically deformed porous media, which allowed for interaction between lung tissue and air inside the lungs.
Abstract: The paper is developing a sub-model to examine gas flows inside the human lungs that are a two-phase saturated elastically deformed porous media. This sub-model is being developed within creation of a mathematical model for the human respiratory system. There was a sub-task related to uniform compression of a thin-wall hollow sphere filled with air; having solved it, we obtained a correlation applied to determine how rapidly changes occurred in average stress of the two-phase media in the lungs. The correlation allowed for interaction between lung tissue and air inside the lungs. Further development of the mathematical model involves finding a solution to a task concerning gas filtration in a deformed saturated porous media of the lungs in its full statement, taking into account the correlation described in the given paper. There also should be a joint solution to tasks related to gas dynamics in the upper airways and filtration inside the human lungs. Results of the given research are significant from theoretical point of view as they provide a better insight into breathing mechanics and mechanisms of functional disorders accumulation under inhalation exposure to chemicals contained in inhaled air. They also have applied significance as they can be used to assess and predict individual and population health risks.

3 citations

Journal ArticleDOI
22 Dec 2020
TL;DR: The introduction of a risk-based model in the control-supervision activities of Rospotrebnadzor led to a decrease in the likelihood of violations of sanitary requirements for the drinking water quality from centralized water supply systems and an increase in the number of prevented deaths and diseases of the population associated with the quality of drinking water.
Abstract: Introduction. The availability of the quality and safety of drinking water is essential for human life and health. The Russian Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing (Rospotrebnadzor) and other participants of the federal project ‘Clean Water’ assigned the task of providing 90.8% of the Russian population Federation with high-quality drinking water from centralized water supply systems until 2024. Currently, Rospotrebnadzor has switched to a new model of risk-based control and supervision, which determined the study’s purpose: to evaluate the effectiveness and economic efficiency of the new model of the service in the field of centralized drinking water supply. At present, Rospotrebnadzor has switched to a new model of risk-based control and supervision. The purpose of the study. To evaluate the results and cost-effectiveness of the new model of the service in the field of centralized drinking water supply. Material and methods. The study used indices of the control and supervisory activity of Rospotrebnadzor, indicators of drinking water quality of centralized water supply systems, data on morbidity and mortality of the population of the Russian Federation for 2014-2019. The results were estimated by the proportion of samples of drinking water from centralized water supply systems with excess hygienic standards prevented by the actions of the Federal Service for Supervision of Consumer Rights Protection and Human Welfare, as well as controlled cases of morbidity and mortality. The economic efficiency assessment was based on a comparison of the costs of implementing the activities of Rospotrebnadzor and financial losses prevention as a result of a decrease in morbidity and mortality Results. An assessment of the results of the Rospotrebnadzor activity showed the occurrence of more than 36.75% of samples in 2019 that did not meet sanitary requirements for sanitary and chemical indices was prevented (1.8-2.0 times more than in 2014-2015), and 1.51% for microbiological (1.6 times more than in 2014). As a result of the activities of the Rospotrebnadzor, 249 deaths and 185,097 thousand cases of diseases of the population associated with the quality of drinking water were more prevented if compared with the pre-reform period. The economic efficiency of the service’s activities to improve the quality of drinking water of centralized water supply systems increased by 28.8% and amounted to 67.7 rubles in 2019. Conclusions. The introduction of a risk-based model in the control-supervision activities of Rospotrebnadzor led to a decrease in the likelihood of violations of sanitary requirements for the drinking water quality from centralized water supply systems and an increase in the number of prevented deaths and diseases of the population associated with the quality of drinking water. The economic efficiency of the service to improve the quality of drinking water from centralized water supply systems has increased.

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Journal ArticleDOI
TL;DR: In this paper , the set-point modulated fuzzy PI-based model reference adaptive controller (SFPIMRAC) is delineated to control the oxygen supply to uncomforted breathing or respiratory infected patients.
Abstract: Uncontrolled breathing is the most critical and challenging situation for a healthcare person to patients. It may be due to simple cough/cold/critical disease to severe respiratory infection of the patients and resulting directly impacts the lungs and damages the alveoli which leads to shortness of breath and also impairs the oxygen exchange. The prolonged respiratory failure in such patients may cause death. In this condition, supportive care of the patients by medicine and a controlled oxygen supply is only the emergency treatment. In this paper, as a part of emergency support, the intelligent set-point modulated fuzzy PI-based model reference adaptive controller (SFPIMRAC) is delineated to control the oxygen supply to uncomforted breathing or respiratory infected patients. The effectiveness of the model reference adaptive controller (MRAC) is enhanced by assimilating the worthiness of fuzzy-based tuning and set-point modulation strategies. Since then, different conventional and intelligent controllers have attempted to regulate the supply of oxygen to respiratory distress patients. To overcome the limitations of previous techniques, researchers created the set-point modulated fuzzy PI-based model reference adaptive controller, which can react instantly to changes in oxygen demand in patients. Nonlinear mathematical formulations of the respiratory system and the exchange of oxygen with time delay are modeled and simulated for study. The efficacy of the proposed SFPIMRAC is tested, with transport delay and set-point variations in the devised respiratory model.