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The first year of college is a stressful life period connected with the experience of loneliness, isolation and depression since the majority of freshmen can no longer maintain an equally close relationship with school friends and family. Social networks have become a significant part of students' daily lives and might be an effective tool for maintaining relationship and reducing loneliness. There are contradictory results concerning the relationship between social networks sites (SNS) use and feelings of loneliness.
A four-week experiment was conducted to study the effect of SNS on feelings of social and emotional loneliness across freshmen. The treatment group (n = 40) took a break from SNS, while the control group (n = 37) used SNS as usual.
Comparison of the treatment and control groups showed that quitting SNS does not change either feeling of social/emotional loneliness. This paper also found that feelings of social and emotional loneliness did not depend on freshmen's positive/negative attitudes toward being alone.
This study is one of the few that uses experimental design to study the effects of using social networks on the psychological state of students in the context of higher education. The results showed that refusing SNS use can have a positive potential for psychological well-being of freshmen since solitude can be used by them as time for self-discovery and self-development. According to the results, social networks neither increase nor decrease the feeling of loneliness, and offline learning and communication environment plays a more significant role in the adaptation of freshmen. These results allow to take a new look at the studies related to the relationship between SNS use and loneliness and the role of social networks in the adaptation of freshmen.
Using mathematical modeling, we consider the phenomenon of singularity in the biological and social history. It is shown that hyperbolic trends in biological and social evolution can be explained by transitional processes that accompany the expansion of ecological niches due to periodically occurring revolutionary innovations. During these periods, strong positive feedbacks are actualized, leading to hyperbolic growth. However, this growth is then inhibited, and the system goes into a new qualitative state. Then, there is a relatively slow development of the updated system with a gradual accumulation of quantitative characteristics and a new innovative breakthrough. This cycle then repeats multiple times. In this regard, the system’s hyperbolic growth trends indicate the transitivity of its current state, while the time of singularity in this hyperbolic trend indicates the end of the transition process.
Purpose: The purpose of the article is to determine the scenarios innovational development of the Russian AIC in the conditions of the EAEU and to develop a competitive model of this development. Methodology: The authors use the method of qualitative scenario analysis for determining the scenarios of innovational development of the Russian AIC in the conditions of the EAEU and the method of modeling of socio-economic processes and systems and the method of formalization (graphic presentation of the results of modeling) for creating a competitive model of innovational development of the Russian AIC in the conditions of the EAEU. Results: Three scenarios of innovational development of the modern Russia’s AIC are determined–technical modernization, ecologization, and transition to AIC 4.0–each of which envisages narrow specialization and cannot guarantee high competitiveness of the studied complex. For receiving the highest advantages from innovational development of the modern Russia’s AIC, it is offered to combine all three scenarios that have to determine the directions of this development. Due to this, the manufactured food products will be diversified and, therefore, will be less dependent on the change of consumer preferences in separate segments of the market and fluctuations of the world prices for food. This will ensure high global competitiveness of development of the Russian AIC, as the platform of the EAEU will provide export to the participants of this integration union and to the world markets. Recommendations: A competitive model of innovational development of the Russian AIC in the conditions of the EAEU is developed and recommended for practical application. © Springer Nature Switzerland AG 2020.
This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019.
The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behaviour through event data.
Beginning with the historic racial desegregation in the United States, and spreading to other parts of the world, policy makers, guided by the findings of social scientists (e.g., Allport, 1954), have advocated for increased intergroup contact (e.g., in schools and neighborhoods) as the key to prejudice reduction and increased social cohesion. Recent work on the ‘irony of harmony’ effect ( Saguy, Tausch, Dovidio, & Pratto, 2009), however, suggests that intergroup contact can undermine disadvantaged group’s support for social change toward greater equality (e.g., Çakal, Hewstone, Schwär, & Heath, 2011; Dixon, Durrheim, & Tredoux, 2007). Using a large and heterogeneous dataset (N = 12,997 individuals from 69 countries), we demonstrate that intergroup contact and support for social change toward greater equality are positively associated among members of advantaged groups (ethnic majorities and cis-heterosexuals), but negatively associated among disadvantaged groups (ethnic minorities and sexual and gender minorities), supporting the ‘irony of harmony’ effect. Specification curve analysis revealed important variation in the size—and at times, direction—of correlations, depending on how contact and support for social change were measured. This allowed us to identify one type of support for change, willingness to work in solidarity for social change, that is positively associated with intergroup contact among both advantaged- and disadvantaged-group members.
This volume contains the refereed proceedings of the 8th International Conference on Analysis of Images, Social Networks, and Texts (AIST 2019). The previous conferences during 2012–2018 attracted a significant number of data scientists – students, researchers, academics, and engineers working on interdisciplinary data analysis of images, texts, and social networks.
‘And Quiet Flows the Don’ is an epic novel, considered one of the most significant works of Russian and world literature. The debate on the authorship of ‘And Quiet Flows the Don’ had been surrounding the novel since its first release in 1928 by Mikhail Sholokhov, who was repeatedly accused of plagiarism. The supporters of the plagiarism theory often indicate that the real author of the novel is the Cossack writer, Fyodor Kryukov, who died before ‘And Quiet Flows the Don’ was published. In the present study we applied the information-based similarity analysis (Yang et al., 2003a, Linguistic analysis of human heartbeats using frequency and rank order statistics. Physical Review Letters, 90: 108103; Yang et al., 2003b, Information categorization approach to literary authorship disputes. Physica A, 329, 473) and Burrows's Delta (Burrows, 2002, ‘Delta’: a measure of stylistic difference and a guide to likely authorship. Literary and Linguistic Computing, 17(3):267–87) to a corpus of Russian literature of XIX and XX centuries. We next used these two methods to compare ‘And Quiet Flows the Don’ to Sholokhov’s and Kryukov’s writings. It was found that Fyodor Kryukov writings are distinct from ‘And Quiet Flows the Don’, whilst Sholokhov’s writings being close to the Don novel. The results also highlight how both information similarity analysis and Delta analysis can be used Russian language.
. This paper presents a novel rodent avoidance test. We have devel-oped a specialized device and procedures that expand the possibilities for exploration of the processes of learning and memory in a psychophysiological experiment. The device consists of a current stimulating electrode-platform and custom software that allows to control and record real-time experimental pro-tocols as well as reconstructs animal movement paths. The device can be used to carry out typical footshock-avoidance tests, such as passive, active, modified active and pedal-press avoidance tasks. It can also be utilized in the studies of prosocial behavior, including cooperation, competition, emotional contagion and empathy. This novel footshock-avoidance test procedure allows flexible current-stimulating settings. In our work, we have used slow-rising current. A test animal can choose between the current rise and time-out intervals as a signal for action in footshock avoidable tasks. This represents a choice between escape and avoid-ance. This method can be used to explore individual differences in decision-making and choice of avoidance strategies. It has been shown previously that a behavioral act, for example, pedal-pressing is ensured by motivation-dependent brain activity (avoidance or approach). We have created an experimental design based on tasks of instrumental learning: pedal-pressing in an operant box results in a reward, which is either a piece of food in a feeder (food-acquisition behavior) or an escape-platform (footshock-avoidance behavior). Data recording and analysis were performed using custom software, the open source Accord.NET Framework was used for real-time object detection and tracking.
The authors quantitatively analyse the long-term dynamics of technological progress from 40,000 BCE and offer projections through the 22nd century. We provide one method to measure technological progress over that time period, using a simple hyperbolic equation, yt = C/(t0 – t), as our model. We define yt as the technological growth rate, measured as number of technological phase transitions per unit of time. Our method measures the worldwide technology dynamic growth with an accuracy of R2 = 0.99. We find the singularity date occurs in the early 21st century and expect a new powerful acceleration of technological development after the 2030s followed by a slow-down in the late 21st and early 22nd centuries. The authors discuss the role of global ageing as one of the main factors in both the technological acceleration and the subsequent deceleration.
There is ample evidence that morphological and social cues in a human face provide signals of human personality and behaviour. Previous studies have discovered associations between the features of artificial composite facial images and attributions of personality traits by human experts. We present new findings demonstrating the statistically significant prediction of a wider set of personality features (all the Big Five personality traits) for both men and women using real-life static facial images. Volunteer participants (N = 12,447) provided their face photographs (31,367 images) and completed a self-report measure of the Big Five traits. We trained a cascade of artificial neural networks (ANNs) on a large labelled dataset to predict self-reported Big Five scores. The highest correlations between observed and predicted personality scores were found for conscientiousness (0.360 for men and 0.335 for women) and the mean effect size was 0.243, exceeding the results obtained in prior studies using ‘selfies’. The findings strongly support the possibility of predicting multidimensional personality profiles from static facial images using ANNs trained on large labelled datasets. Future research could investigate the relative contribution of morphological features of the face and other characteristics of facial images to predicting personality.
This article investigates the role of boards in founder-managed firms with concentrated ownership in emerging markets. The literature frequently suggests that in this type of companies, boards have little influence on the corporate decision making. The article conducts a case study of AFK Sistema—a large Russian founder-managed firm with concentrated ownership. We observe that, contrary to the expectations, in this company, the founder provided real authority to the board, at the same time focusing on recruiting independent (mainly foreign) members. Based on this case, we argue that selectively empowering boards in this type of ownership setting could be beneficial for the firm: Selective empowerment is a source of intrinsic motivationfor the independent board members, making them proactively search for new projects and assist in their implementation on behalf of the firm. As a result, the company can overcome a number of important barriers in its development.
Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates.Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm—the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate.Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced.Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
What characteristics of firms give them the confidence to invest in settings rife with expropriation by local officials? Empirically, firms in the developing world often face the threat of expropriation from local agents of the state rather than a centralized autocrat. Because policing local officials is costly, the state cannot easily credibly commit to doing so. This has negative consequences for investment. We argue that one solution is to allow firms to approach the state directly to ask for intervention. Not all firms are equally able to successfully get the attention of the state, however, so this mechanism only works for some. We develop an argument about the firm-level characteristics – large-scale employment, political connections, foreign ownership, and business association membership – that should make the central state more attentive to calls for help. Because firm with these characteristics are more likely to secure intervention against predatory bureaucrats, the latter are less likely to try to expropriate them. These firms’ investment decisions should be less sensitive to local expropriation than other firms. We test this argument using data on cases of decentralized expropriation across Russia’s regions and firm-level data from a cross-regional, large scale survey of Russian firms.
This book, including thirteen chapters, treats different aspects of epistolary genre in the history of sociology. Correspondence of sociologists contains a valuable material on the life and work of sociologists, on revealing of their intellectual exchange networks, on the assessment of theories influence, on the analysis of their elaboration, on the understanding of their social, intellectual and political context. In this book are considered the general issues of epistolary genre in the history of sociology, as well as the particular correspondence themes of some of its representatives. This is about letters of classics, well-known sociologists (like Marx, Durkheim, Bouglé, George Gurvitch, Michel Crozier, Robert Merton), as well as less known social scientists, whose epistolary heritage has a great importance.
Currently many research information systems can provide, for a selected author, two groups of citation relationships: a) the outgoing citations linking the authors papers with papers cited by him/her; and b) the ingoing citations created by others and citing the authors papers. Using these citation relationships, one can build three groups of papers: (1) the papers of a selected author; (2) those papers cited by the author; (3) papers citing the author. Authors of papers from these three groups can be presented as a fragment of a research cooperation network, because they use/cite research outputs of each other. Their papers full texts, and especially the contexts of their in-text citations, contain some information about the character of this research cooperation. We present a concept of research cooperation, based on publications and the current results of the Cirtec project, for building the research cooperation characteristics. This work is based on the processing of citation content/context data. The results include an online service for authors to monitor the citation content data extractions and three types of built indicators/parameters: co-citation statistics, spatial distribution of citations over papers body and topic models for citation contexts.
В статье рассматриваются вопросы прогнозирования микроклимата городов и ветроэнергетического потенциала жилых зданий применительно к России, Северной и Восточной Европе. В исследовании проанализирована климатическая структура крупного города, биоклиматический комфорт, а также представлен климатический анализ на примере Москвы. Уточнена взаимосвязь ветрового режима с климатическими и градостроительными факторами. Представлены возможные подходы к оценке ветроэнергетического потенциала здания. Проанализирован зарубежный опыт и классификация факторов, влияющих на размещение ветроэнергетических установок. Отмечена возможность детализации данных микроклимата по ветровому режиму для размещения ветроэлектростанций с учетом благоустройства и озеленения городов. Рассмотрен вопрос первичной привязки ветроэнергетических установок в строительстве на основе ветроэнергетического потенциала зданий и территорий. Концепция "Умного города" рассматривается с целью формирования системы управления ветроэнергетическим потенциалом в городском строительстве и оценки комфортности аэрации для пешеходов с интеграцией в градостроительное энергетическое моделирование (УБЭМ).
Accountability—constraints on a government’s use of political power—is one of the cornerstones of good governance. However, conceptual stretching and a lack of reliable measures have limited cross-national research on this concept. To address this research gap, we use V-Dem data and innovative Bayesian methods to develop new indices of accountability and its subtypes: the extent to which governments are accountable to citizens (vertical accountability), other state institutions (horizontal accountability), and the media and civil society (diagonal accountability). In this article, we describe the conceptual and empirical framework underlying these indices and demonstrate their content, convergent, and construct validity. The resulting indices have unprecedented coverage (1900–present) and offer researchers and policymakers new opportunities to investigate the causes and consequences of accountability and its disaggregated subtypes. Furthermore, the methodology provides a framework for theoretically driven index construction to scholars working with cross-national panel data.
The chapter 1) introduces the latest volume of the conference proceedings of HSE's annual German conference "Welt und Wissenschaft", 2) reviews emerging trends in policy-responses to the Corona epidemic, and 3) highlights two recent publications on the German-Russian relationship.
Corporate social responsibility (CSR) is not as new a phenomenon for Russia as it is considered to be. Despite the prevalence of CSR among Russian corporations and considerable budgets, the number of corporate foundations is limited to a few tens. This chapter develops explanations for a narrow prevalence of corporate foundations as a tool of CSR. The chapter is based on the available statistical information, corporate social reports and interviews with representatives of the corporate foundations. Three aspects are examined. The first is a statistical portrait of the subsector of corporate foundations: its size, funding models, payouts, projects being funded, etc. The second point is an institutional context: the current legislation on foundations and CSR, and the tax regulations. The third aspect to be covered is a hybrid role of corporate foundations, their operation in the social policy and the non-profit sector. The chapter concludes with a discussion on comparative advantages and weaknesses of corporate foundations in an emerging Russian market.
In this paper we provide the methodology for evaluating ef- fectiveness of international sanctions using Data Envelopment Analysis (DEA), which we use for generating the network matrix for further anal- ysis. DEA is a non-parametric technique used to compare performance of similar units, such as departments or organizations. DEA has wide applications in all industries, and has been successfully used to compare performance of hospitals, banks, universities, etc. The most important advantage of this technique is that it can handle multiple input and out- put variables, even those not generally comparable to each other. We use the ”Threat and Imposition of Sanctions (TIES)” Data 4.0 for analysis. This database contains the largest number of cases of international sanctions (1412 from the years 1945-2005) imposed by some countries on others, takes into account simultaneous sanction imposition, and also estimates the cost of all sanctions - both for those who receive and those who impose them. As input variables for DEA model we use the impact of sender commitment, anticipated target and sender economic costs, and actual target and sender economic costs. As the output variable, we use the outcome of sanctions for senders. We describe how to use DEA cross-efficiency outputs to build the network of sanction episodes. Our proposed combination of DEA and network methodology allows us to cluster sanction episodes depending on their outcomes, and provides explanations of higher efficiency of one group of sanction episodes over the others.