The software to conduct comparative analysis of dynamic series of medical statistical data.

The software was designed to process and conduct comparative analysis of Big medical statistical data. This software is easy to use. It allows to conduct the analysis of medical statistical indexes in dynamics, gives a fair assessment of the time-series tendencies, helps to compare time-series of the studied indexes and presents graphic display of the information. The software can be used by health-care institutions, high education institutions, health-related scientific research organizations, physical culture organizations and institutions of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing of the Russian Federation.

Modeling Multivalued Dynamic Series of Financial Indexes on the Basis of Minimax Approximation

In this article, the problem of modeling a time series using the Minimax method is considered. The expediency of using Minimax to identify points of change in trends and the range of changes in the graphical figures of technical analysis is justified. Spline approximation of the dynamic process with range constraints was performed to improve the quality of the model. Investors are advised to refrain from making hasty decisions in favor of holding reliable shares (such as PJSC Novatek shares), rather than selling them. The purchase of new shares should be carefully analyzed. Through an approximation of the dynamic number of the applicable optimization problem of minimizing the maximum Hausdorff distances between the ranges of the dynamic series and the values of the approximating function, the applied approach can provide reliable justification for signals to buy shares. Energy policy occupies the highest place in the list of progress ratings according to news analytics of businesses related to the energy sector of the economy. At the same time, statistical indicators and technologies of expert developments in this field, including intellectual analysis, can become an important basis for the development of a robotic knowledge program in the field under study, an organic addition to which is the authors’ methodology of development in energy economics as in energy policy. This paper examines the model of approximation of the multivalued time series of PJSC Novatek, represented as a series of ranges of numerical values of the indicators of financial markets, with constraints on the approximating function. The authors consider it advisable for promising companies to apply this approach for successful long-term investment.

Features of Population Reproduction and Assessment of Demographic Security of the Republic of Khakassia in the Context of Siberian and All-Russian Trends in the Post-Soviet Period

The article compares the changes in the demographic situation in the Republic of Khakassia with the regional demographic development of the neighboring republics of Altai and Tyva, as well as Krasnoyarsk Krai against the background of Siberian and all-Russian trends for the period 1990–2020. A comparative analysis of the main indicators of population reproduction of these territories was carried out using the method of multi-regional demographic analysis of dynamic series based on Rosstat data. The conclusion is made about the decrease in the level of demographic security in recent years in the Republic of Khakassia, as well as the country as a whole, due first to a decrease in fertility, and then an increase in mortality against the background of the population ageing.

APPLICATION OF PATENT ANALYSIS FOR FORECASTING THE DEVELOPMENT OF NANOMATERIALS

In this article, in order to identify the most promising nanomaterials, the method of patent analysis is applied, dynamic series of the number of issued patents in specific classes and IPC groups, as well as patents containing the given names of nanomaterials on the title page, are constructed. Models of the life cycle of the studied nanomaterials were constructed, the coefficients of their maturity and the expected remaining service life were calculated.

ANTAGONISM IN SYSTEM REGULATION ARTERIAL PRESSURE And ITS CHANGE after THERAPY NICERGOLINE

By the method of fractional trends, when analyzing the dynamic series of blood pressure (АД), an antagonism between the cardiac output block (CB) and the peripheral vascular resistance block (СПС) was revealed in the patient, after 12 weeks of nicergoline therapy, at the 1-3 hierarchical level of systemic regulation. At the subordinate 4-6 levels of the hierarchy, the phenomenon of antagonism was also revealed. When regulating systolic (САД) and diastolic (ДАД) blood pressure, this method revealed that nicergoline has a greater effect on the regulation of ДАД.

Reliable Assessment of Inflation as an Objective Necessity

The article is devoted to laying out methodological foundations for assessing the level of inflation in modern Russia. It justifies using aggregate (integral) indices to characterize price processes and determine strategic development priorities.The use of inflation indicators used in the international practice in Russia does not provide the necessary level of reliability of information about the ongoing inflationary processes in various sectors of the national economy. It does not allow us to objectively assess the current state of socio-economic development to timely capture and account for changes in the trends of strategic development. As a result, the quality of analytical work, first and foremost carried out by real sector development institutions, is reduced, which affects the effectiveness of decisions made by economic entities and public administration bodies.The authors argue that the aggregate inflation index shows a higher degree of variability in the dynamics of inflationary processes than the consumer price index since it accounts for changes in the most significant sectors of the economy, the social sphere and the financial sector.The article proposes an improved method for constructing an aggregate inflation index based on mathematical and statistical methods. It is shown that the use of an aggregated inflation index increases the objectivity of the assessment of economic growth and social progress, which makes it possible to more quickly predict the dynamics of costs and results with a sufficiently high degree of forecast accuracy.The need for regular adjustment of the composition of private indicators taken into account in the formation of the aggregate inflation index is justified by including new, more relevant indicators and excluding those that have lost their relevance.Results of the study are the conclusions obtained by analyzing the dynamic series of aggregate and partial inflation indices formed on the basis of the methodology proposed by the authors.

Estimation of the growth rate of wild ungulate populations in the territory of the Saratov region by the dynamic series of their numbers

The present paper is devoted to the study of the possibility of estimating the reproductive potentials of wild ungulate populations, and possibly other large mammals, by the time series of their numbers. We have found out that this is possible, which is confirmed by the high quality of approximation of the time series of abundance by logistic curves, and the corresponding coefficients of their determination for different species ranged from 75 to 96%. For such calculations, one circumstance is necessary, which is that the population of the studied species has been briefly exposed to some unfavorable factor causing a significant reduction in its numbers with subsequent restoration to the previous level, or the time series should contain a well-expressed and extended section of the transition of the population from some lower level to the upper level of the population, passing into a stationary state. The values of the maximum exponential growth rates of ungulate populations that we obtained do not fundamentally differ from the data available in other researchers’ works. In addition, it should be borne in mind that our method for assessing the reproductive potentials of ungulates is statistical, with features accompanying all such methods, for example, in the presence of statistical errors in all determined parameters. However, the evaluation of the magnitude of these errors is a topic for a separate study.

Cancer-Immunity Cycle and Therapeutic Interventions- Opportunities for Including Pet Dogs With Cancer

The tumor-immune interplay represents a dynamic series of events executed by cellular and soluble participants that either promote or inhibit successful tumor formation and growth. Throughout a tumor’s development and progression, the host organism’s immune system reacts by generating anti-cancer defenses through various incremental and combinatorial mechanisms, and this reactive orchestration is termed the cancer-immunity cycle. Success or failure of the cancer-immunity cycle dictates the fate of both host and tumor as winner or loser. Insights into how the tumor and host immune system continuously adapt to each other throughout the lifecycle of the tumor is necessary to rationally develop new effective immunotherapies. Additionally, the evolving nature of the cancer-immunity cycle necessitates therapeutic agility, requiring real-time serial assessment of immunobiologic markers that permits tailoring of therapies to the everchanging tumor immune microenvironment. In order to accelerate advances in the field of immuno-oncology, this review summarizes the steps comprising the cancer-immunity cycle, and underscores key breakpoints in the cycle that either favor cancer regression or progression, as well as shaping of the tumor microenvironment and associated immune phenotypes. Furthermore, specific large animal models of spontaneous cancers that are deemed immunogenic will be reviewed and proposed as unique resources for validating investigational immunotherapeutic protocols that are informed by the cancer-immunity cycle. Collectively, this review will provide a progressive look into the dynamic interplay between tumor and host immune responses and raise awareness for how large animal models can be included for developing combinatorial and sequenced immunotherapies to maximizing favorable treatment outcomes.

Segmented analysis of official statistical indicators dynamic series for osteoarthritis in 1994–2018 in Russia, the North-Western Federal district and the Arkhangelsk region

To improve the rheumatology service in the Russian Federation, it is necessary to determine the true extent of primary and general incidence of osteoarthritis (OA).The aim of the study is a detailed assessment of trends in the dynamics of OA incidence in the Russian Federation, the North-Western Federal district (NWFD) and the Arkhangelsk region (AR).Materials and methods. We evaluated trends in the dynamics of both incidence and prevalence of OA in the Russian Federation (RF), NWFD and AR in the period 1994–2018 based on data from the annual statistical reports of the Ministry of health of the Russian Federation (form 12). Data on the population of AR were obtained in the regional Bureau of statistics – Archangelskstat, for the northwestern Federal district and the Russian Federation from freely available statistical collections of Rosstat. We analyzed the indicators of the adult population (over 18 years old). To evaluate time trends, we used segmented analysis using the Joinpoint Regression Program (National Cancer Institute, USA) to analyze linear trends, evaluate their statistical significance, and identify time points of their change (joinpoints).Results. In the period from 2004 to 2012 in Russia was a decline in the number of annually detected cases of OA, the prevalence of OA increased steadily in the 2016 year recorded a decline in the number of cases of OA in NWFD and AR. The analysis showed a discrepancy in the trends of incidence of OA in the Russian Federation, the northwestern Federal district and AR, which was nonlinear and chaotic. In all territories, the prevalence was increasing. In the Russian Federation, the period from 2004 to 2008, when the primary incidence of OA fell sharply, was marked by a stable increase in the prevalence from 2041.6 to 3383.3 per 100 thousand population. Conclusion. Analysis of official statistical information on the both incidence and prevalence of OA shows a significant variation in indicators, their fluctuations are not related to changes in the practice of diagnosis and treatment of this disease and, most likely, are associated with gaps in its accounting. Improving the epidemiological assessment of OA is possible with the introduction of a system of personalized patient registration-the osteoarthritis registry.

Formation of Long-Term Fiscal Sustainability of Kazakhstan Using the Rule Structural Budget Balance

The purpose of the study is to substantiate the potential of using the results of modeling potential GDP and estimating the output gap to comply with fiscal rules that are adequate for the corresponding economic cycle of the economy of Kazakhstan. The methods of economic, statistical, graphical, system, functional analysis, economic and mathematical modeling are applied. To achieve this goal, the analysis of Kazakhstan’s fiscal stability was carried out based on the assessment of Kazakhstan’s potential GDP and the calculation of output gaps, which were carried out based on the dynamic series method of the reported real GDP in 2005 prices for 1991-2019 using the Hodrick-Prescott filter (CP) using the EViews 10 econometric package. The current mechanism for using the output gap indicator in Kazakhstan’s fiscal policy does not have sufficient flexibility. For a timely response of the budget system to changes in the economic situation in the country or abroad, considering the output gap, it is important to introduce an automatic adjustment system that can eliminate contradictions and inconsistencies when making macroeconomic policy decisions by the main regulator and the government of the country. To do this, there is a need to revise the existing fiscal policy based on building a system of new budget rules on countercyclical principles. The proposed alternative fiscal model with the introduction of the rule on the structural balance of the budget is aimed at ensuring long-term fiscal stability, which does not allow for a pro-cyclical policy.