The Welfare and Public Health of the Population of Russia: Adaptation To Economic Volatility

In the article, the results of the research of correlation of welfare and public health of the population of Russia in the conditions of economic instability are presented. The review of performance indicators of development of public sentiments of society applied both in Russian and foreign practice is submitted. The concept content of the “social and psychological potential of a region” as an indicator of public health of the population is opened. On the basis of this concept, the potential pattern is created. The evaluation method of social and psychological potential of a region is developed, its main idea is an integrated assessment of both the potential of a region in general and its separate components. The assessment of the condition of potential in territorial subjects of the Russian Federation is given. Character and power of correlation between indicators of welfare and level of social and psychological potential of territorial subjects of the Russian Federation on the basis of development of correlation matrixes are revealed, also, the regional consistent patterns and tendencies are determined.The study was funded by a grant from the Russian Science Foundation (project No. 14-18-00574, “Anti-crisis”, an Information Analysis System “: Diagnostics of the Regions, Estimation of Threats and Scenario Forecasting in Order to Maintain and Reinforce Economic Security and Enhance the Well-Being of Russia)

First experiences in the application of biopreparations against the cherry fruit fly in Southern Russia in 2007

On the Russian market there are no currently registered biological preparations for the control of Rhagoletis cerasi (cherry fruit fly, CFF), and therefore the effects of natural products against this pest were studied. In laboratory, semi-field and field experiments a range of botanicals (NeemAzal-T/S and Quassia-MD) were tested alone and in combination with comparison product Phytoverm and chemical standard insecticides for their effectiveness against R. cerasi in commercial orchards. These products showed a high biological effectiveness against R. cerasi comparable with chemical insecticides

Economic tomography: the possibility to anticipate and respond to socio-economic crises

The article discusses an approach based on an original hypothesis related to the peculiarities of Russia’s development (on the one hand, its scale, the Russian mentality and a certain closeness of the economy; on the other hand, a significant dominant resource and human potential, and, as a consequence, a genuine role in the global economic community), the diagnosis of which (at the level of the well-being of individuals and inhabited areas) can be used to identify crises, provide an early assessment of threats to socio-economic development of regions as well as help to evaluate the state of the region over a 3 to 5 year period. In other words, in order to ensure that executives have enough time to mount a sufficiently rapid response to the crises and administrative errors and to reduce the impact of emerging threats. The aim of this paper is to present theoretical and methodological tools for the recognition of the early stages of emerging threats, allowing fewer losses to be experienced during the crisis period. Simulation experiments were carried out for the purpose of classifying previously occurring social and economic crises (9 possible variants were reviewed) and mathematically processed trajectories of change in the main indicators for the well-being of individuals and inhabited areas, taking the influence of various factors into account. On the basis of the authors’ proposed approach (referred to as economic tomography) an attempt is made to comprehensively assess the state of sample representative regions of Russia.The research has been supported by the Russian Science Foundation (project № 14–18–00574 'Information-analytical system "Anticrisis:" diagnostics of the regions, threat assessment and scenario forecasting for the preservation and strengthening of economic security and well-being of Russia')

Towards the second order adaptation in the next generation remote patient management systems

Remote Patient Management (RPM) systems are expected to be increasingly important for chronic disease management as they facilitate monitoring vital signs of patients at their home, alerting the care givers in case of worsening. They also provide patients with educational content. RPM systems collect a lot of (different types of) data about patients, providing an opportunity for personalizing information services. In our recent work we highlighted the importance of using available information for personalization and presented a possible next generation RPM system that enables personalization of educational content and its delivery to patients. We introduced a generic methodology for personalization and emphasized the role of knowledge discovery (KDD). In this paper we focus on the necessity of the second-order adaptation mechanisms in the RPM systems to address the challenge of continuous on-line (re)learning of actionable patterns from the patient data

Heart failure hospitalization prediction in remote patient management systems

Healthcare systems are shifting from patient care in hospitals to monitored care at home. It is expected to improve the quality of care without exploding the costs. Remote patient management (RPM) systems offer a great potential in monitoring patients with chronic diseases, like heart failure or diabetes. Patient modeling in RPM systems opens opportunities in two broad directions: personalizing information services, and alerting medical personnel about the changing conditions of a patient. In this study we focus on heart failure hospitalization (HFH) prediction, which is a particular problem of patient modeling for alerting. We formulate a short term HFH prediction problem and show how to address it with a data mining approach. We emphasize challenges related to the heterogeneity, different types and periodicity of the data available in RPM systems. We present an experimental study on HFH prediction using, which results lay a foundation for further studies and implementation of alerting and personalization services in RPM systems

Interrelation between Supply and Demand Factors in Regional Labor Markets

Annotation. The article presents the author's approach to the analysis of matching the demand for labor and its supply. The essence of the approach lies in the dynamic assessment the closeness of the relationship between two sets of indicators describing each of the factors. The proposed model for calculating the coefficient characterizing the closeness of the relationship allowed us to consider simultaneously the factors of the formation of demand for labor and its supply, as well as to make quantitative estimates. The approach was tested using the data from the subjects of the Russian Federation situated in the Ural Federal District. The results of the assessment showed that during the period from 2000 to 2019 the closeness of relationship between the indicators of supply and demand factors in the labor market increased. The most significant contribution to the coordination between supply and demand in the regional labor markets is made by the demographic factor, i.e. the share of the population of working age. In addition, in some subjects of the Russian Federation, the functioning of the labor market is quite significantly affected by the retail turnover, the amount of investment in fixed assets and the graduation of specialists. The use of the coefficient of closeness of the relationship allowed us to consider simultaneously all the indicators of the factors of supply and demand in the labor market and make quantitative estimates. Such a unique approach makes it possible to avoid the objectively existing restrictions in the statistical accounting of employment and unemployment. © 2022 Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences. All rights reserved.Russian Foundation for Basic Research, РФФИ: 20-41-660008Acknowledgements. This work has been carried out with the financial support of the Russian Foundation for Basic Research grant, project No. 20-41-660008

Sustainable Development Indicators in Benchmarks of Russia's Regional Policy

We have considered the problem concerning the substantiation of sustainable development indicators and the improvement of the standard of living of the population in Russian regions. To quantify the standard of living of the population, we have used a common indicator such as the Human Development Index. The authors present an approach to managing the region in the form of optimization problems aimed at improving the standard of living of the region's population by increasing the probability of its classification as a region with a higher standard of living. The optimization problem is solved based on the identified relationship between the standard of living of the region's population and its socioeconomic indicators. © 2020 Published under licence by IOP Publishing Ltd.This work has been performed with the support of the Russian Foundation for Basic Research, Grant No. 18-010-00493

Innovative technology of hip-potherapy in complex treatment of manifestations of dysplastic and dystrophic syndrome in children

The article presents pathomechanical grounding of application of designed method of hippotherapy in treatment of manifestations of dysplastic and dystrophic syndrome with evaluation of remote outcomes of complex treatment in 5 years in 120 children. The basics of therapeutic impact of horse riding lie in natural movements of a horse, helping a rider to organize and systematize his or her movements. Hippotherapy (with performing special correcting exercises) as a method of complex treatment of children with dysplastic and dystrophic syndrome forms the skill of space orienting, improves coordination of movements, strengthens and trains muscles. Together with all that it improves psychoemo-tional state of a patient. This method of treatment of combined pelvis and spine deformity in children in comparison with other known techniques provides expressed therapeutic effect due to simultaneous correction of pelvic and spinal muscles, development of muscular-articular perception and muscular-sensor coordination, and also due to reconstruction and formation of a new movement stereotype