38 Studencheskaya ul.
Using Major League Soccer as a unique dataset, this study examines the direct andindirect role of coaches’ experience in determining team performance. Inspired by labormarket studies, we applied traditional indicators of team salary structure and, unlikeprevious studies, empirically test the hypothesis that coach experience affects the way inwhich team salary distribution inuences performance. Our results suggest that coacheswith experience as professional soccer players improve team performance directly butworsen the negative effect of a skewed s alary distribution. Moreover, experience as aplayer is more important than coaching experience. (JEL D3, J3, M5)
In recent years, English has become lingua franca in the spheres of higher education and science in Russia: more and more university courses are delivered in English, university students and academics take part in international conferences and workshops, Russian scholars strive to publish their research findings in international peer-reviewed journals.
Such a shift of focus makes the ability to write a good quality academic text a necessary skill in the modern academic environment. However, as our experience of EAP practitioners shows, Russian L2 writers, having a good command of General English, often find it challenging to conform to the conventions of English academic discourse when writing their research papers or project proposals. Despite the existence of various types of software which can check grammar and/or style of a text (e.g. Grammarly, Ginger, Language Tool) and even provide feedback about errors (Dreschler et al., 2019), to our knowledge, there are no programmes focusing on linguistic characteristics of an academic text. Besides, in the existing literature there appears to be no clear rubric for academic writing assessment. The application Paper Cat developed by a team of teachers and students from the National Research University Higher School of Economics, Perm, Russia, is aimed at facilitating students’ and researchers’ writing in English by identifying the most significant features of academic discourse. We used the world accumulated knowledge in EAP to develop the software that is able to assess an academic text against a set of criteria, i.e. academic discourse markers, selected from academic style guides, handbooks and research articles on EAP. Evaluating the ‘quality of academic discourse’ of the text in terms of style can be automated by using software to tag style markers in that text. At the heart of this approach is creating a repository of patterns which are needed to extract the markers mentioned above. The quality of an L2 academic writing is assessed against a set of criteria worked out on the basis of competent writing features analysis.
This paper examines the development and significant contributions in a growing array of relevant publications spanning from 1946 to date and discusses future developments of the wellness tourism topic until the year 2095.
This perspective study traces down the wellness tourism evolution research by re-viewing and analysing an extant body of the relevant literature over the last 75 years. This paper builds a rigorous perspective review by examination of publications derived from several scientific domains, including tourism, medicine, economics, and social sciences.
As a result of this study, wellness tourism can be attributed as a profuse and proliferating research stream in the recent 75 years. Its relevance to significant aspects of life, such as health and also due to effects on human, social, and economic wellbeing, drives its proliferation. The paper anticipates the relevance and topicality of wellness tourism studies for academic research in the next 75 years.
This paper contributes to the theory by addressing the ambiguous nature of wellness tourism, recapping the debate on the most debated research questions, and revealing the perspectives for future research in this area.
The present investigation considers phenomenon of tourism cluster as a theoretical model of region tourism complex administration. Basing on authors’ approach to theoretical analysis, deep investigation of the concept “tourism cluster” was realized. Following the results of the analysis mentioned, we described a number of theoretical approaches to the category of tourism cluster. All the approaches mentioned were presented in two different ways: static and dynamic ones. The dynamic model provided a general view on historical development of the category “tourism cluster” in the scope of economic theory.
Basing on complex analysis results, we created our own “system and agglomeration” approach to the concept of “tourism cluster”. The approach mentioned was structured as follows: authors’ interpretation of the category “tourism cluster”, feature-based table, tourism cluster graphical model, authors’ methodology of tourism cluster identification and complex analysis of this type system.
New methodology was tested on the case of Perm krai.
The set of theoretical and practical innovations suggested in the present research is considered as universal one and it could be used in the practice of other regions administration. The present monograph could be recommended to the specialists working in the sphere of public administration ( specially to those of them who is responsible for tourism policy); to students of university programs related with tourism , economics, public administration and to all of those who are interested in the sphere of special development and tourism development in the Russian Federation.
The article deals with the problem of creating a temperature regulator,
which does not require preliminary tuning for a specific production plant.
Authors proposed to use a matrix approach of fuzzy logic for this purpose. It
allows engineers to apply the linguistic rules formulated in the most general
form for industrial processes control. It also allows building simple control
algorithms for complex nonlinear systems. To verify the correctness of the
algorithm, authors assembled installation with heaters of various types, powers
and inertia. The full-scale experiment shown that the developed prototype of the
device allows controlling the temperature in various settings without initial
Architecture of the compressor equipment monitoring and control cyber-physical system (CPS) based on the InfluxData IoT platform is proposed. CPS consists of three subsystems: a subsystem of a physical object, a digital twin and an interface. As a technical implementation of the IoT controller, a measuring and control module based on a data acquisition, data transfer and control device - VIDA350, connected to the Telegraf data collection agent of the platform using the MQTT protocol, is proposed. The basic methods of processing raw data from energy meters and sensors of technological parameters, implemented in blocks of on-line and off-line calculations are given. The organization of the digital twin of the compressor using the database of time series InfluxDB and the relational database MSSQL, storing information about changes in the technological parameters of equipment over time, energy efficiency indicators, statistics on accidents and operating time, equipment models, etc., is proposed. Grafana system and FreeCAD is used for visualization of equipment in 3D. The use of CPS can increase the efficiency of operation of compressors due to the timely detection of air leaks, minimizing idling, minimizing peak consumption, optimizing process parameters and settings both of the compressors and consumers.
Standards and specifications are widely used in industry to define product and business process requirements, ensure interoperability, safety, and quality, so there is an acute question of how best to apply them in the process of their own production. One of the problems at the moment is the inability to effectively use the existing standards base due to its weak structure. As a solution to this problem, NIST presented the NOVIS system, which provides an interactive visual interface with terminology from standards related to sustainable production. However, this solution has a number of limitations, which are described later in the text, therefore it is necessary to develop our own system of semantic search in industry standards. The aim of this work is system design for intelligent search in industry standards based on ontological description and semantic annotation. It is necessary to consider the existing solution, to determine the requirements for the system, to develop an algorithm for its operation, to compare the tools for management and visualization of ontology to achieve this goal. The practical significance is to define the conceptual framework and build a graphical representation of the system for the further development of an intelligent search system that will allow companies effectively manage, properly understand and comply with industry standards.
We analyse the determinants of football fans’ happiness in the Russian Premier League using facial emotion recognition. We propose a new way of measuring subjective well-being and provide its empirical validation using sports data. Our sample consists of about 10,000 photos from football matches uploaded on the most popular social network in Russia during the seasons 2014/15–2017/18. The dataset of photos is analysed with the Emotion Recognition software, which takes a facial expression in an image as an input and returns the confidence across a set of emotions for each face in the image. Next we use multinomial logistic regression to identify the determinants of happiness. The results show that uncertainty and expectations are important drivers of football fans’ happiness. A win decreases the probability of being unhappy, and the effect becomes stronger for late rounds of a national championship. The change in happiness because of a home team win is stronger for males.
The Russian government has programs to assist Russian companies with financial and organizational support. Award of procurement contracts may also serve as assistance to companies. This paper uses data from a survey of Russian companies to draw inferences about the motivation behind the choice of recipients. Possible motivations are an intent to foster economic development, successful rent-seeking by recipients or simply corruption. The evidence is mixed. There is support for both the economic development motive and rent-seeking in the analysis of financial and organizational support. A role for corruption is most evident in the procurement contract results.
Growing importance of human resources places the role of managers at the core of
company efficiency. However, there are studies that demonstrate the efficiency of teams
without a manager, so-called self-managed teams, is higher comparing with managed
teams. Thus, despite the focus on managerial efficiency in the economic literature, the
issue of whether a team needs amanager is far from settled. In this paper, we use a quasiexperimental
setting from e-Sports (competitive video gaming) to understand whether
the hiring a manager is of benefit to team performance. The empirical part of the study
is based on endogenous switching regression model. This method allows investigating
what performance of self-managed team would be if it will have a manager and vice
versa. The dataset includes the information of prize money and features of top e-Sports
teams in Counter-Strike: Global Offensive (e-Sports discipline) from 2013 to 2017. The
main finding of this study is that managed teams perform better than self-managed ones
but this is not due to the manager.
This article proposes a method of constructing dynamic neural network
mathematical models that allow not only to diagnose the disease at the
current time, but also to simulate the appearance and development of diseases in
future periods of time, as well as to control their appearance and development by
selecting the optimal lifestyle and optimal intake of drugs. It is assumed that the
use of dynamic neural network medical systems, instead of static, allow doctors,
before prescribing courses of treatment to patients, to test the effect of drugs not
on patients, but on their virtual mathematical models. The action of the system is
demonstrated by examples.
National economic development is subject to a number of restrictions. One of the main constraints is the threat of complete exhaustion of non-renewable resources and environmental pollution exceeding the capacity of the planet. However, the rapid spread of resource-saving technologies is reducing the environmental intensity of economic activities. In this study, I aim to examine the ecological-economic dynamics of the environmental effects of economic development in the regions of Russia’s North-Western Federal District (NWFD). I employ an extended version of Peter A. Victor’s model to produce a comprehensive evaluation of changes in economic indicators
and correlate them with the total and specific environmental impact. I conduct a factor analysis to identify the main effects influencing the ecological-economic dynamics. The use of water resources in the NWFD demonstrates green growth, whereas electricity consumption and wastewater treatment fall into the brown zone and industrial and municipal waste treatment into the black one. The factor analysis has shown that population change has a very weak effect on the situation. Much more influential factors are the income effect (higher incomes translate into greater consumption and thus more significant pollution levels) and the technology effect produced by a decrease in the environmental intensity of production. To promote green development, it is advisable to increase the influence of the
technology effect by stimulating resource efficiency and switching to the circular economy model.
The purpose of this paper is to investigate the role of perceived food quality and consumer ethnocentrism and potential trade-offs between these two concepts in Russian consumers’ food purchase decisions after the implementation of the Russian import ban.The results suggest that most respondents do not consider domestically produced cheese as a risky product in terms of food safety but simply of lower quality than imported cheese. However, the average respondent’s WTP discount for domestic cheese compared to imported cheese is 8 percent, which is relatively small. This corresponds to participants’ opinion that buying domestic cheese is the right thing to do since it supports Russian farmers and producers. The results indicate further that with increasing education and income levels, individuals are less likely to prefer domestically produced cheese for either economic or quality reasons. This effect is stronger for the quality preference.
Processing of mathematical operations and solving numerical tasks implicate a distributed set of brain regions. These regions include the superior and inferior parietal lobules that underlie numerical processing such as size judgments, and additional prefrontal regions that are needed for formal mathematical operations such as addition, subtraction and multiplication [Arsalidou, Taylor, 2011]. Critically, little is known about the connectivity between these regions and the association between math performance and the anatomical structure of white matter tracts. The present study investigates connectivity and white matter tracks associated with networks related to math performance: arcuate fasciculus (AF) and superior longitudinal fasciculus (SLF). Participants performed a computerized task with mathematical operations (addition, subtraction, multiplication, and division) with three levels of difficulty; accuracy and reaction time were recorded. Diffusion tensor imagining (DTI) recordings provided indices on fractional anisotropy (FA) — a measure of the direction of white matter tracks in the brain. The relation between FA and math performance scores is reported.
This paper is an empirical study of the changing nature of the dependence of fundamental factors on the stock market index, which is the trend identified earlier in the Russian stock market. We empirically test the impact of daily values of fundamental factors on the MOEX Russia Index from 2003 to 2018. The analysis of the ARIMA-GARCH (1,1) model with a rolling window reveals that the change in the power and direction of the influence of the fundamental factors on the Russian stock market persists. The Quandt-Andrews breakpoint test and Bai-Perron test identify the number and likely location of structural breaks. We find multiple breaks probably associated with the dramatic falls of the stock market index. The results of the regression models over the different regimes, defined by the structural breaks, can vary markedly over time. This research is of value in macroeconomic forecasting and in the investment strategy development
We investigate alcohol consumption as one of the main factors contributing to variation in the gender gap in life expectancy in the Russian regions. We consider the socioeconomic indicators and mortality coefficients that enable us to capture the causes of death related primarily to alcohol abuse and smoking. We assume that macroeconomic situation, coupled with alcohol consumption are substantial determinants of the gender gap in life expectancy in the Russian regions. A panel data analysis confirms that alcohol consumption has a significant influence on the gender gap in life expectancy and reduces the life expectancy of men first and foremost, as they are more inclined toward unhealthy behaviours. We have determined that employment and income support policies should be conducted in conjunction with the anti-alcohol policy. Social policy aimed at reducing alcohol consumption should be vigorously reinforced during an economic recovery.