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')

Resistance of seedlings of native and alien species of the genus Bidens (Asteraceae) from different geographic populations to the action of heavy metals

One approach to assessing the competitiveness of invasive species is a comparative analysis of the morphological, physiological, and reproductive traits of this species with native species of the same genus. The invasive species Bidens frondosa L. from the Asteraceae family, included in the list of the 50 most common and most aggressive invasive species in Europe, occupies the same ecological niche as the native species B. tripartita L., and displaces it from natural habitats. There is an obvious and growing interest in the sustainability of B. tripartita and B. frondosa in extreme conditions of existence, one of which is the action of heavy metals. Our research was performed in laboratory conditions with seedlings that developed from seeds collected from populations of the Upper and Middle Volga region. The seeds were germinated in Ni2+ and Cu2+ solutions at various concentrations. At the end of the experiment, morphometric parameters were measured and the index of tolerance was determined. Seedlings from different populations under the influence of nickel ions developed at concentrations of 1–50 mg/l, under the influence of copper ions – at 1–100 mg/l. The nickel and copper ions had the greatest toxic effect on the growth and development of the root system – at 25 mg/l and above, the main root was completely necrotic, while the action of copper ions simultaneously increased the number of adventitious roots. The tolerance index (“root test”) under the action of nickel ions was higher among the seedlings from the population of the Middle Volga region, while under the action of copper ions there were no significant differences among the seedlings from different populations. However, it decreased with the action of both heavy metals at a concentration of 10 mg/l. High concentrations of both metals significantly reduced the length of the hypocotyl, cotyledon, and the true leaf. It was also found that copper ions are more toxic for the root system (main root and adventitious roots), nickel ions – for above-ground organs (hypocotyl, cotyledons, and true leaves). We noted differences between the populations to the action of nickel and copper. From the population of the Upper Volga region, the seedlings of B. frondosa were more stable. For seedlings from the population of the Middle Volga, a smaller toxic effect was confirmed for B. tripartita. It can be assumed that the resistance of B. frondosa to the action of heavy metals as a stress factor in the Upper Volga region is one of the reasons for the suppression of B. tripartita by the invasive species

The results of follow-up study of children who had active cytomegalovirus infection during the first months of life

Follow-up observation of 44 patients who had cytomegalovirus infection (CMV) in the first months of life with the assessment of the health status of these children in terms was conducted during more than 7 years (control group consisted of healthy children). The study of course and outcomes of CMV infection of the first months of life showed that up to school period 43 % of patients had formed chronic pathology and 14,2 % of children at early age formed group of "children with disability". The structure formed chronic pathology up to school period in almost all parameters values. In main group central nervous system pathology occurred 4 times more often (р < 0,001), allergy - 3 times more often (p = 0,05), the pathology of the cardiovascular system - 3 times more often, endocrine pathology - 3 times more often, pathology of gastrointestinal tract and hepatobiliary system - 5 times more often

Economy regional features and specialist training structure

In recent years, special attention is paid to increasing the regional role in training personnel for the economy and social sphere, to implementing the “Strategy for Scientific and Technological Development of the Russian Federation”, and to balanced development of the entire territory of Russia. The purpose of the article is to study the regional economic features of the Russian Federation members in relation with a personnel training structure with higher education. The sectoral specialisation of the Russian Federation members is assessed in the article on the example of the Siberian Federal District. The assessment is based on a comprehensive analysis of the sectoral structures of the Russian Federation members, economic activities localisation, population employment. It is emphasised that a degree of sector production concentration, which characterise the sectors importance in a national scale, must be taken into account. This will make it possible to optimise the personnel training structure with higher education. A comparison of specialists graduation in terms of specialties and areas enlarged groups with the population employment structure has shown that the regions specifics are not sufficiently taken into account by the training areas of higher education institutions. The results of the study can be useful to the top management of higher education institutions in the Russian regions

Parameters of Reserpine Analogs That Induce MSH2/MSH6-Dependent Cytotoxic Response

Mismatch repair proteins modulate the cytotoxicity of several chemotherapeutic agents. We have recently proposed a “death conformation” of the MutS homologous proteins that is distinguishable from their “repair conformation.” This conformation can be induced by a small molecule, reserpine, leading to DNA-independent cell death. We investigated the parameters for a small reserpine-like molecule that are required to interact with MSH2/MSH6 to induce MSH2/MSH6-dependent cytotoxic response. A multidisciplinary approach involving structural modeling, chemical synthesis, and cell biology analyzed reserpine analogs and modifications. We demonstrate that the parameters controlling the induction of MSH2/MSH6-dependent cytotoxicity for reserpine-analogous molecules reside in the specific requirements for methoxy groups, the size of the molecule, and the orientation of molecules within the protein-binding pocket. Reserpine analog rescinnamine showed improved MSH2-dependent cytotoxicity. These results have important implications for the identification of compounds that require functional MMR proteins to exhibit their full cytotoxicity, which will avoid resistance in MMR-deficient cells

ПОСТРОЕНИЕ ТИПОЛОГИИ ФИЛИАЛЬНЫХ БАНКОВ НА ОСНОВЕ МЕТОДОВ КЛАСТЕРНОГО АНАЛИЗА И НЕЙРОННЫХ СЕТЕЙ

Topic. The article analyzes Russia’s banking system, which is a complex, multi-layered, hierarchically organized system in which there exist different stable groups of banks. It is stated the strengthening role of multi-branch  banks. We analyze the existing approaches to the selection of the group of multi-branch banks. There is lack of uniformity in the definition of ‘multi-branch bank’ and existence of different interpretation among researchers, legislators, and regulators as concerns the characteristics and quality of group multi-branch banks.Purpose. The purpose of this paper is the construction of a typology of banks with branches in the Russian Federation according to the number of branches and allocation in the banking system of the group multidivisional banks.Methodology. Based on the clustering of banks that have branches and representative offices (Ward’s method, distance metric — a Euclidean distance), we constructed the typology of banks according to a number of their branches and departments. Further, we tested a dedicated group of multi-branch banks for its substantial stability using different methods of clustering and neural networks.Results. In the study, we propose a list of parameters for the implementation of clustering procedures of Russian banks that have branches and representative offices. As parameters of the clustering, we consider all statutory allowed internal and external units of banks. We implemented verification of a typology of banks by the neural network with the teacher: if the proposed typology is not true, the network will not be trained, or it will make errors corresponding to the ‘fallout’ from the classification. The result of the implementation of the neural network confirmed the presence in the banking system of the Russian Federation groups of banks classified on the basis of cluster analysis.Conclusions. Received typology of branches of banks has confirmed the hypothesis about the existence in the banking system of the Federation group of multi-branch banks. It has been actually determined this group of banks and given its mathematical description in accordance with the average number of structural units. The results of the study can be used for further study of the properties inherent in different types of banks with branches and offices, including multi-branch banks, and for analysis of the mechanism of their functioning that could serve as a basis of increase of efficiency of banking activities in the Russian Federation.Предмет. В статье анализируется банковская система России, представляющая собой сложную, многоуровневую, иерархически выстроенную систему, в которой выделяются различные устойчивые группы банков. Констатируется усиление роли многофилиальных банков. Дается анализ существующих подходов к выделению группы многофилиальных банков. Делается вывод об отсутствии единообразия в определении понятия «многофилиальный банк» и различной трактовке исследователями, законодателем и регулирующим органом характеристик и качественного состава группы многофилиальных банков.Цель. Построение типологии филиальных банков Российской Федерации по числу структурных подразделений и выделение в банковской системе группы многофилиальных банков.Методология. На основе кластеризации банков, имеющих филиалы и представительства (метод Уорда, метрика расстояния — евклидово расстояние), построена типология банков по числу их филиалов и подразделений и выделена группа многофилиальных банков, проверена ее содержательная устойчивость при использовании различных методов кластеризации. Использованы экономико-математические методы кластерного анализа и нейронных сетей.Результаты. В ходе исследования сформирован перечень параметров для осуществления кластеризации банков РФ, имеющих филиалы и представительства. В качестве параметров кластеризации рассмотрены все законодательно предусмотренные внешние и внутренние подразделения. Реализована проверка полученной типологии банков с помощью нейронной сети с учителем: если предложенная типология не соответствует действительности, то сеть не обучится либо будет делать ошибки, соответствующие «выпадениям» из классификации. Результат работы нейронной сети подтвердил наличие в банковской системе РФ выделенных на основе кластерного анализа групп банков.Выводы. Построена типология филиальных банков, в рамках которой подтверждена гипотеза о существовании в банковской системе РФ группы многофилиальных банков, фактически выделена эта группа банков и дано ее математическое описание в соответствии со средним количеством структурных подразделений. Результаты исследования могут быть использованы для дальнейшего изучения свойств, присущих различным типам банков, имеющих филиалы и подразделения, в том числе многофилиальным банкам, и анализа закономерностей их функционирования, что может послужить основой повышения эффективности банковской деятельности в РФ

Methods for investigating the mechanical properties of isolated subendocardial and subepicardial cells ffom mouse heart

Supported by the Russia Foundation for Basic Research (14-01-00885, 14-01-31134, 13-04-00365) and JSPS KAKENHI2628212

The intellectual information system for management of geological and technical arrangements during oil field exploitation

The intellectual information system for management of geological and technical arrangements during oil fields exploitation is developed. Service-oriented architecture of its software is a distinctive feature of the system. The results of the cluster analysis of real field data received by means of this system are shown

Two-dimensional mathematical modeling of 2013 and 2020 Amur River floods

Predicting river flooding of the territory where people live and engage in economic activities is urgent. The most problematic area in the Russian Far East is the territory through which the Amur River and its tributaries flow. The article considers the calculations of two Amur River floods: 2013 – catastrophic flood and 2020 – low flood. The simulation was carried out using a system of two-dimensional Saint-Venant equations using the Stream 2D CUDA program. The solution of the system of equations by numerical methods is based on the original author’s methodology. Channel depth maps and WordDEMTM (Airbus Defense and Space, Intelligence) data at 24 m resolution were used as a digital elevation model. Calculations of river floods in 2013 and 2020 were performed on a built-in and calibrated mathematical model, which matches the observational data well