197 research outputs found

    Brand Marketing Trends in Russian Social Media

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    In the paper, the authors have reviewed common actions, an aim of which is consumer engagement in interactions with a brand in social media. They have also reviewed engagement types and effects of their use. Based on a literature review, in a clearer way, the authors have presented attributes of Internet marketing and explored brand-marketing challenges on the Internet. Authors have summarized the information on Russian users' efforts in social media. Based on empirical data, the researchers have made a portrait of media actors and the audience in Russian social media, identified target groups among consumers by a number of criteria. They have also completed an analysis of common ways for promotion of companies (brands) and their products and services, taking into account a structure of social media users and specifics of communication channels. Findings include identified most common lines of business for promotion in a competitive social media based on efficiency of the engagement response (rate) per brand/product-specific page or post. These data have made it possible to formalize strategic goals and possible results of brand marketing for various types of social media

    Moving Objects Tracking in Distributed Maritime Observation Systems

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    This paper considers the processes of target tracking complicated by big data gaps in complex media such as Distributed Maritime Observation System (DMOS). The main purpose of DMOS is to support the favorable navigation conditions, monitoring, life-saving on the sea for different ships in harbors, maritime roads and open sea. DMOS can be considered as a heterogeneous distributed computer system, it includes different layers of services at different levels of abstraction: ship, harbor; regional and global levels. Such a framework is based on several satellite and maritime information systems that nowadays favor the integration of maritime data (e.g., AIS, ECDIS, OPTIMARE, GMDSS). Despite of the input data big volume the situations exist when gaps (e.g., time delays from minutes to hours) between target observations’ points are different. Well known algorithms of target tracking do not work properly in such situations. The proposed approach describes synthesis of analytical and simulation methods at tactical hypothesis development for the cases when suitable direct analytics is not applicable. Also, a joined artificial techniques’ scenario approach to tactical situation hypothesis development is proposed

    Assessment of News Items Objectivity in Mass Media of Countries with Intelligence Systems: the Brexit Case

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    The role of mass media in society keeps the problem of manipulative influence distinction and the contiguous phenomena, chief among which is objectivity and authenticity of news items, current. The research provides a detailed study of the information broadcasting mechanisms in the media area, defines the problems, impeding an impersonal reproduction and disclosure of information, clarifies the verification methods, and gives their topology. In this research, we examined how the mass media of different countries presented the same event to the public. The publications of four mass media, concerning such an event as the withdrawal of the United Kingdom from the European Union (Brexit), have been determined as an object of the analysis. The chosen mass media refer to the countries, which are not the direct participants of that process: Russia, the USA, and Ukraine. D. Brewer’s criteria were used to define the objectivity of the news items. A relative sentiment of the news, which became the objective analysis basis, has been identified using linguistic rate with Eureka Engine intelligence system. The obtained results predominantly confirmed the hypothesis, that the mass media of different countries would represent the process of the UK withdrawal from the EU according to the country’s policy and interpret the facts in their favor. All the four mass media demonstrate the partiality when broadcasting the current situation in the matter of Brexit. The concepts being the semantic kernel elements of mass media publications have emotional coloring. The sentiment analysis of the publications resulted in the conclusion that only one of the four mass media gave a neutral assessment of the Brexit situation. The other three held to the political stance of their edition or government. The research results indicate that the problem of mass media objectivity remains relevant. The correctional impact on public opinion through mass media is extremely high. Therefore, forming the personal attitude toward the situation or event should occur with using several verifications methods and mass media sources at once

    Picosecond-laser-induced structural modifications in the bulk of single-crystal diamond

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    Arrays of through laser-graphitized microstructureshavebeenfabricatedintypeIIasingle-crystal1.2-mmthick diamond plates by multipulse laser irradiation with 10-ps pulses at λ=532 nm wavelength. Raman and photoluminescence (PL) spectroscopy studies of the bulk microstructures have evidenced the diamond transformation to amorphous carbon and graphitic phases and the formation of radiation defects pronounced in the PL spectra as the self-interstitial related center, the 3H center, at 504 nm. It is found that the ultrafast-laser-induced structural modifications in the bulk of single-crystal diamond plates occur along{111}planes, known as the planes of the lowest cleavage energy and strength in diamond

    A methodological approach to forecasting spatial distribution of workplaces in an industrial metropolis

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    Many world cities retain their unique industrial status. Such a feature of the economy of an industrial metropolis imposes additional requirements on the development of the forecast of spatial distribution of workplaces. The article highlights the contradictions of the long-term development of an industrial megalopolis, which become scenic forks, when forecasted. These include optimization of the industrial and trade-service sectors of the economy, the ratio of inertial and innovative development vectors, variability of migration flows and the choice of the agglomeration model type. The article is devoted to the problem of forecasting the development of a large metropolis, where the industrial sector plays a significant role in the economy. At the methodological level, the article justifies principles of spatial development of an industrial metropolis. The article describes forecasting tools for spatial location of workplaces, based on a combination of several models. The study was performed through the example of Ekaterinburg – the industrial capital of Russia; the metropolis scenarios were justified until 2035; the forecast of spatial distribution was calculated through the example of the two sectors competing for investments – industrial and trade-service. The authors substantiate spatial distribution of workplaces taking into account the projected number of people employed, the number of population of working age and distinguishing features of transport behavior of citizens. The paper demonstrates that the number of large industrial enterprises in a historically industrial center and its first zone decreases, and the modern industry in the form of small and medium-sized businesses located in industrial parks commence gradually forming a circuit with nodes on transport routes towards the largest consumer territories

    Investment capacity of the economy during the implementation of projects of public-private partnership

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    The article considers the peculiarities of the mechanism of public-private partnership. An important problem of the research is to find an optimal ratio in the investment distribution when the arising positive externalities are maximized. In the critical literature review, the assumption was made that the balance between the market and state methods of regulation allows reaching the sustainable growth from the point of view of the use of resources. This hypothesis is developed in the analysis of the multiplicative effect through the index of GDP investment capacity. The research approach is based upon the study of the regression dependencies: multidimensional optimization is solved by the method of configurations with performing the iteration procedure. The obtained results show that the state contribution into the total investment potential of the projects of public-private partnership is traditionally low. The maximal investment capacity of the economy can be reached when maintaining the structure of investment distribution at the ratio 0.09/0.91 for the public and private sectors, respectively. The practical use of the optimization model allows to introduce the flexible mechanism of coordination of the terms of project financing

    Modeling Energy-Efficient Consumption at Industrial Enterprises

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    A possibility to reduce costs incurred in both product manufacturing and energy consumption constitutes energy-efficient consumption at industrial enterprises. Manufacturers operating in various economic sectors adopt similar conceptual models of energy consumption, which allows developing a universal solution for modeling such processes. The central problem of modeling lies in finding an adequate objective function based on a sufficient set of parameters and characteristics of the efficiency of an enterprise's power circuit. The article justifies the performance indicators of industrial enterprises' power supply systems. The literature review proves that economic feasibility of energy efficiency is especially obvious if a massive modernization program is implemented. The estimates produced indicate that the largest portion of the potential energy savings is attributed to implementation of energy-saving projects in industrial buildings and other structures. We present a mathematical model designed to perform a comparative analysis of technical and economic features of two modernization scenarios of the heat and power supply system of an industrial enterprise circuit. Performing a simulation calculation based on performance aspects of Russian companies, the paper outlines the advantages of integrated modernization and analyzes the influence of various factors. The results reveal that there is an inverse correlation between specific heat consumption of buildings under thermal modernization and the length of the thermal network. As specific energy consumption in the thermal modernization scenario increases, the payback period for capital investments decreases. The effect of this dynamics is virtually proportional. Compared with total costs for various heat sources, the share of capital costs differs significantly; however, the share of running costs is dominant for all types of units. At the same time, the length of an enterprise's heat circuit weakly affects the payback period of capital costs. Keywords: Energy efficiency; Industrial enterprise; Thermal modernization; Energy modeling. JEL Classifications: Q43, L95, L97 DOI: https://doi.org/10.32479/ijeep.737

    Brand Marketing Trends in Russian Social Media

    Get PDF
    In the paper, the authors have reviewed common actions, an aim of which is consumer engagement in interactions with a brand in social media. They have also reviewed engagement types and effects of their use. Based on a literature review, in a clearer way, the authors have presented attributes of Internet marketing and explored brand-marketing challenges on the Internet. Authors have summarized the information on Russian users' efforts in social media. Based on empirical data, the researchers have made a portrait of media actors and the audience in Russian social media, identified target groups among consumers by a number of criteria. They have also completed an analysis of common ways for promotion of companies (brands) and their products and services, taking into account a structure of social media users and specifics of communication channels. Findings include identified most common lines of business for promotion in a competitive social media based on efficiency of the engagement response (rate) per brand/product-specific page or post. These data have made it possible to formalize strategic goals and possible results of brand marketing for various types of social media

    Use of Perovskites for Optosensors

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    The work is devoted to the determination of the place of perovskites among the other materials for optosensors. The features and advantages of this material are determined. The methods for the manufacture of perovskites and the latest technical developments in their application are analyzed. Perovskite and silicon photosensors are compared. A comparative table of perovskite compounds is drawn up. It is determined that perovskites have great potential for their use in low-voltage, inexpensive, high-speed, highly sensitive and ultra-highly integrated optoelectronic devices
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