Publications

This book focuses on crisis management in software development which includes forecasting, responding and adaptive engineering models, methods, patterns and practices. It helps the stakeholders in understanding and identifying the key technology, business and human factors that may result in a software production crisis. These factors are particularly important for the enterprise-scale applications, typically considered very complex in managerial and technological aspects and therefore, specifically addressed by the discipline of software engineering. Therefore, this book throws light on the crisis responsive, resilient methodologies and practices; therewith, it also focuses on their evolutionary changes and the resulting benefits.

Akkadian, the oldest surviving Semitic language and one of the most important Ancient Near Eastern languages, is one of the best documented languages of the ancient world. This nine volume encyclopedic set presents a detailed compendium of Akkadian vocabulary that will prove a vital resource for students and scholars of language, Ancient Near Eastern studies, and all those with a wider interest in Akkadian writings.

In this article, our ultimate goal is to transform a graph’s adjacency matrix into a distance matrix. Because cluster density is not observable prior to the actual clustering, our goal is to find a distance whose pairwise minimisation will lead to densely connected clusters. Our thesis is centred on the widely accepted notion that strong clusters are sets of vertices with high induced subgraph density. We posit that vertices sharing more connections are closer to each other than vertices sharing fewer connections. This definition of distance differs from the usual shortest-path distance. At the cluster level, our thesis translates into low mean intra-cluster distances, which reflect high densities. We compare three distance measures from the literature. Our benchmark is the accuracy of each measure’s reflection of intra-cluster density, when aggregated (averaged) at the cluster level. We conduct our tests on synthetic graphs, where clusters and intra-cluster density are known in advance. In this article, we restrict our attention to unweighted graphs with no self-loops or multiple edges. We examine the relationship between mean intra-cluster distances and intra-cluster densities. Our numerical experiments show that Jaccard and Otsuka-Ochiai offer very accurate measures of density, when averaged over vertex pairs within clusters.

The economies of Central and Eastern Europe, Caucasus, and Central Asia (CEECCA) grew at a varying pace in 2000–2019, with an average rate of 6.5 percent per annum (GDP, PPP). This economic progress was accompanied by some positive changes in environmental performance, but not in all areas and not in all countries in the region.

Proceedings of Machine Learning Research: Volume 119: International Conference on Machine Learning, 12-18 July 2020

Positive-Unlabeled (PU) learning is an analog to supervised binary classification for the case when only the positive sample is clean, while the negative sample is contaminated with latent instances of positive class and hence can be considered as an unlabeled mixture. The objectives are to classify the unlabeled sample and train an unbiased positive-negative classifier, which generally requires to identify the mixing proportions of positives and negatives first. Recently, unbiased risk estimation framework has achieved state-of-the-art performance in PU learning. This approach, however, exhibits two major bottlenecks. First, the mixing proportions are assumed to be identified, i.e. known in the domain or estimated with additional methods. Second, the approach relies on the classifier being a neural network. In this paper, we propose DEDPUL, a method that solves PU Learning without the aforementioned issues. The mechanism behind DEDPUL is to apply a computationally cheap post-processing procedure to the predictions of any classifier trained to distinguish positive and unlabeled data. Instead of assuming the proportions to be identified, DEDPUL estimates them alongside with classifying unlabeled sample. Experiments show that DEDPUL outperforms the current state-of-the-art in both proportion estimation and PU Classification and is flexible in the choice of the classifier.

Maps and diagrams have long been used by science and education. The results and achievements of geography, astronomy, biology, economics have always been presented in the form of maps. Modern methods and tools of network science allow to deeper understand collaboration because relations between agents of activity are represented as a map. For many collaborative educational systems maps of relations between agents and activity products are built automatically. However, these diagrams are not used in educational practice as tools for better learning. The paper provides examples of how the diagrams were used in educational practice in order to support a group reflection of collaborative activities.

Creativity loosely refers to activities in the visual arts, music, design, film and performance that are primarily intended to produce forms of affect and social meaning. Yet, over the last few decades, creativity has also been explicitly mobilized by governments around the world as a ‘resource’ for achieving economic growth. The creative economy discourse emphasizes individuality, innovation, self-fulfillment, career advancement and the idea of leading exciting lives as remedies to social alienation. This book critically assesses that discourse, and explores how political shifts and new theoretical frameworks are affecting the creative economy in various parts of the world at a time when creative industries are becoming increasingly ‘industrialized.’ Further, it highlights how work inequalities, oligopolistic strategies, competitive logics and unsustainable models are inherent weaknesses of the industrial model of creativity. The interdisciplinary contributions presented here address the operationalization of creative practices in a variety of geographical contexts, ranging from the UK, France and Russia, to Greece, Argentina and Italy, and examine issues concerning art biennials, museums, DIY cultures, technologies, creative writing, copyright laws, ideological formations, craft production and creative co-ops.

‘Language, Linguistics, Communication’ is designed for students, teachers and everyone whose interests lie in the field of language and linguistics. The textbook focuses on building and developing four basic language skills: reading, writing, listening, speaking, in which students are expected to cope with input texts in the discipline and to produce output texts throughout the course.

This book, a philosophical consideration of Soviet socialism, is not meant simply to revisit the communist past; its aim, rather, is to witness certain zones where capitalism’s domination is resisted—the zones of countercapitalist critique, civil society agencies, and theoretical provisions of emancipation or progress—and to inquire to what extent those zones are in fact permeated by unconscious capitalism and thus unwittingly affirm the capitalist condition.

By means of the philosophical and politico-economical consideration of Soviet socialism of the 1960 and 1970s, this book manages to reveal the hidden desire for capitalism in contemporaneous anticapitalist discourse and theory. The research is marked by a broad cross-disciplinary approach based on political economy, philosophy, art theory, and cultural theory that redefines old Cold War and Slavic studies’ views of the post-Stalinist years, as well as challenges the interpretations of this period of historical socialism in Western Marxist thought.

Science, technology and innovation (STI) studies are interrelated, as are STI policies and policy studies. This series of books aims to contribute to improved understanding of these interrelations. Their importance has become more widely recognized, as the role of innovation in driving economic development and fostering societal welfare has become almost conventional wisdom. Interdisciplinary in coverage, the series focuses on the links between STI, business, and the broader economy and society. The series includes conceptual and empirical contributions, which aim to extend our theoretical grasp while offering practical relevance. Relevant topics include the economic and social impacts of STI, STI policy design and implementation, technology and innovation management, entrepreneurship (and related policies), foresight studies, and analysis of emerging technologies. The series is addressed to professionals in research and teaching, consultancies and industry, government and international organizations.

This book is an analysis of the developments associated with the Belt and Road Initiative (B&RI) five years after Xi Jinping announced both the Silk Road Economic Belt (SREB) and the 21st Maritime Silk Road (21MSR). Together, these two dimensions constitute the B&RI, providing the so-called Chinese ‘project of the century’ with regional, inter-regional and global reach. This book aims at assessing the impact of the B&RI in all these dimensions and levels of influence. This is a current and promising theme, not only in the short and medium terms, but also within a broader timescale, reflecting Chinese strategic thinking itself, since Chinese philosophy and culture are oriented towards long-term and inter-generational perspectives. Likewise, both the title of this publication and the way it has been organized result from the empirical perception that China asserts a conservative attitude towards foreign affairs, redesigned in multiple dimensions, to create a perception of domestic unity and global prestige. In this vein of thought, the B&RI is already influencing and will continue to influence, directly or indirectly, the current economic and political order.

The authors introduce ongoing child welfare reform in Russia, consider the international and national context, as well as the main drivers of these reforms and their current results. In addition, a literature review of field is also provided. Child welfare reform in Russia builds on the idea of every child’s right to grow up in a family. The main aim is to deinstitutionalize the child welfare system by promoting adoptions and fostering, restructuring the remaining residential institutions into home-like environments and creating community-based family support services. The chapter introduces the main concepts and terminology used to describe the child welfare system, the research questions of the volume, and employs a neo-institutionalist framework as the theoretical framework of the book. The volume analyses how reform is implemented, which echoes a fundamental change in the ideological premises of child welfare policy. Thus, the reform has shifted the course of the child welfare policy in Russia. The volume examines how the reforms are affecting the institutions and practices of child welfare in Russia, what kind of institutional change has followed the shift in the ideals, and what are the intended and unintended consequences of these reform processes. Finally, the chapter gives a brief overview of the chapters in the volume.

The bond market is a key securities market and emerging economies present exciting, new investment opportunities. This timely book provides insights into these emerging bond markets through empirical models and analytical databases, i.e. Bloomberg, Eikon Refinitiv and the Russian Cbonds.

The book looks at the dynamics of the development of emerging bond markets, their competitiveness, features and patterns using macro and micro level data. It also takes into consideration various securities type i.e. government, corporate, sub-federal and municipal bonds, to identify respective challenges and risks. The book also analyses factors that may inhibit or stimulate a well-balanced financial market. It includes case studies of Asian, Latin American and Russian bond markets, as also as cross-country comparisons.

It will be a useful reference for anyone who is interested to learn more of the bond market and the modelling techniques for critical data analysis.

This report is the result of a collaborative study performed by the Russian International Affairs Council (RIAC) and the Strategic Vision Institute (SVI). The report is devoted to analyzing the role of Russia and Pakistan in Middle Eastern processes as well as the two states’ policies in the Persian Gulf subregion. Experts determine the areas in which the strategic and diplomatic interests of the two states converge. This work also examines Russian and Pakistani positions towards regional competition, influence of external actors and prospects for cooperation in the sphere of security in the Persian Gulf.

This book explores the ongoing transformation processes in various education systems, including those in Asia. Drawing on research, policy and practice in a diverse range of contexts to illuminate the process of system transformation and improvement, it provides a rich comparative basis for considering large-scale reform and offers contemporary reflections and insights into the process of school and system improvement. The book features informed critique, as well as descriptions, analyses and assessments of system reform in all its facets. Accordingly, it offers unique perspectives on the change processes, and reveals how numerous countries in Asia and elsewhere are tackling the challenge of transforming their schools and education systems.

In the early decades of the twentieth century, tens of thousands of Yiddish speaking immigrants actively participated in the American Socialist and labor movement. They formed the milieu of the hugely successful daily Forverts (Forward), established in New York in April 1897. Its editorial columns and bylined articles—many of whose authors, such as Abraham Cahan and Sholem Asch, were household names at the time—both reflected and shaped the attitudes and values of the readership. Most pages of this book are focused on the newspaper’s reaction to the political developments in the home country. Profound admiration of Russian literature and culture did not mitigate the writers’ criticism of the czarist and Soviet regimes.

Given the increasing restrictions and rigorous approval procedures for the exercise of freedom of assembly in various parts of the globe, one-person pickets often remain the only available form of voicing one’s opinion. This is the case of Russia, where citizens use solo protests as an opportunity to join together: they can take turns or stand at a distance from one another, forming a ‘group one-person picket’. These realities pose an interesting question: are such group solo protests characterised as freedom of expression or assembly? Through examining the legal nature of solo protests in the practice of international human rights bodies, this article aims to reveal a deeper understanding of the two freedoms involved and the interplay between them.

Forecasting and analyses of the dynamics of financial and economic processes such as deviations of macroeconomic aggregates (GDP, unemployment, and inflation) from their long-term trends, asset markets volatility, etc., are challenging because of the complexity of these processes. Important related research questions include, first, how to determine the qualitative properties of the dynamics of these processes, namely, whether the process is stable, unstable, chaotic (deterministic), or stochastic; and second, how best to estimate its quantitative indicators including dimension, entropy, and correlation characteristics.

These questions can be studied both empirically and theoretically. In the empirical approach, researchers consider real data expressed in terms of time series, identify the patterns of their dynamics, and then forecast the short- and long-term behavior of the process. The second approach is based on postulating the laws of dynamics for the process, deriving mathematical dynamical models based on these laws, and conducting subsequent analytical investigation of the dynamics generated by the models.

To implement these approaches, either numerical or analytical methods can be used. While numerical methods make it possible to study dynamical models, the possibility of obtaining reliable results using them is significantly limited due to the necessity of performing calculations only over finite time intervals, rounding-off errors in numerical methods, and the unbounded space of initial data sets. Analytical methods allow researchers to overcome these limitations and to identify the exact qualitative and quantitative characteristics of the dynamics of the process. However, effective analytical applications are often limited to low-dimensional models (in the literature, two-dimensional dynamical systems are most often studied).

In this paper, we develop analytical methods for the study of deterministic dynamical systems based on the Lyapunov stability theory and on chaos theory. These methods make it possible not only to obtain analytical stability criteria and to estimate limiting behavior (to localize self-excited and hidden attractors and identify multistability), but also to overcome difficulties related to implementing reliable numerical analysis of quantitative indicators such as Lyapunov exponents and the Lyapunov dimension. We demonstrate the effectiveness of the proposed methods using the mid-size firm model suggested by Shapovalov.

The COVID-19 pandemic has tested the preparedness of Russia’s public health system to respond to a nationwide crisis, and the ability of its broader welfare state to cushion the population against the economic impacts. This essay puts these developments in the context of recent reforms of the health care and welfare systems, showing how they affected the population’s vulnerability to the pandemic’s health and economic shocks, and the government’s ability to manage both.

The crystal structure of decakis(μ-chloro)-tetrakis(1,2,4-triphenylcyclopentadienyl)-hexakis(tetrahydrofuran)- di-potassium-tetra-neodymium(III) tetrahydrofuran trisolvate, 1, is reported. The centrosymmetric complex 1 has a rare tetranuclear core [Ln4K2Cl10] and crystalizes in triclinic space group (P̄1 ) with unit cell parameters: a = 11.9858(3) Å, b = 14.0698(3) Å, c = 19.8129(4) Å, α = 74.1120(4)°, β = 81.2073(4)°, γ = 83.9521(4)° and Z = 1. The catalytic system based on 1 and nBuMg(O-2,6-tBu2-4-MeC6H2) exhibits moderate activity in coordinative chain transfer polymerization of ethylene. In case of the system 1/nBu2Mg, oligomerisation of ethylene was not detected. Graphic

Organophosphate-chloride complexes [{(2,6-iPr2C6H3-O)2POO}2LnCl(CH3OH)4]
2CH3OH, Ln = Nd (1), Eu (2), Gd (3), and Tb (4) have been obtained and structurally characterized. Their reaction with 2,20:60,2”-terpyridine leads to the formation of 1:1 adducts ([{(2,6-iPr2C6H3- O)2POO}2LnCl(terpy)(H2O)2(CH3OH)], Ln = Eu (5), Gd (6), Tb (7) with exception of Nd, where tris-diisopropylphenylphosphate complex [{(2,6-iPr2C6H3-O)2POO}3Nd) (terpy)(H2O)(CH3OH)] (8) was obtained due to the ligand metathesis. A bright luminescence observed for the Eu and Tb organophosphate complexes is the first example of an application of organophosphate ligands for 4f-ions luminescence sensitization. Photophysical properties of all complexes were analyzed by optical spectroscopy and an energy transfer scheme was discussed. A combination of two types of ligands into the coordination sphere (phosphate and phenanthroline) allows designing the Eu surrounding with very high intrinsic quantum yield QEu Eu (0.92) and highly luminescent Ln complexes for both visible and near-infrared (NIR) regions.

The paper discusses the so-called «anti-Israel» campaign which the USSR started after the Six Day War between Israel and the Arab countries. The focus of the analysis is on the connection of this campaign and the general dynamics of the Cold War. The paper introduces the main lines of propaganda that sought to frame the Israeli victory and Israeli policies as those of an «imperialist» state.

In this paper, we simulate the nucleation and growth of crystalline nuclei in a molybdenum film cooled at different rates confined between two amorphous walls. We also compare the results for the wall-confined and wall-free systems. We apply the same methodology as in the work (Kirova and Pisarev 2019 J. Cryst. Growth 528 125266) which is based on reconstructing the probability density function for the largest crystalline nucleus in the system. The size of the nucleus and the asphericity parameter are considered as the reaction coordinates. We demonstrate that in both the free and confined systems there are two mechanisms of crystal growth: the attachment of atoms to the biggest crystal from the amorphous phase and the merging of the biggest crystal cluster with small ones (coalescence). We show that the attachment mechanism is dominant in the melt cooled down at a slower rate, and the mechanism gradually shifts to coalescence as cooling rate increases. We also observe the formation of long-lived crystal clusters and demonstrate that amorphous walls do not affect their geometric characteristics. However, system confined between walls demonstrates higher glass-forming ability.

The  existence problem for attractors of foliations with transverse linear connection is investigated. In general foliations with transverse linear connection do not admit attractors. A conditions that implies the existence of a global attractor which is a minimal set, is specified. An application to transversely similar pseudo-Riemannian foliations is obtained. The global structure of transversely similar Riemannian foliations is described. Different examples are constructed.

The process of transformation, which began in the Russian Empire in the second half of the XIX century, as one of the important social problems put forward the question of literacy. The problem of literacy in Russia intensified and became more prominent after the abolition of serfdom in 1861 when peasants were granted personal freedom and some civil rights. The elimination of illiteracy was one of the most important conditions for the further development of the country. The spread of literacy in the Russian Empire in the late XIX-early XX centuries was largely associated with the activities of local self-government bodies. For them one of the most important areas of work was public education. The well-known fact is that the local self-government reform was carried in 1864. In Russian, these local self-government bodies were called Zemstvo.

As scholars review ASEAN’s performance, as well as predict likely trends of its future development, the association’s response to the challenges presented by the Fourth Industrial Revolution becomes crucial. Assessing ASEAN’s pre-digital achievements as the foundation of its response to the emerging digital challenges, the authors specify the association’s current and prospective readiness to effectively cope with them. As distinguished from numerous writings on the aftereffects of the Fourth Industrial Revolution for ASEAN, the central argument of the chapter is as follows. The key vulnerability of ASEAN’s policy is the overlap of the long-standing and present ASEAN’s shortcomings as the central reason behind its insufficient preparedness to face the digital challenges rather than the seriousness of these problems per se. The academic novelty of the research comes from distinguishing an appropriate remedy to decrease this vulnerability.

The actuality and the academic significance of the research stem from the authors’ identification and analysis of issues critical for ASEAN’s future evolution. Among these issues, the pivotal are prospects for the association to lose its digital sovereignty as a result of the intensifying Sino-American contradictions over the digital issues, the emergence of new imbalances between and within Southeast Asian states with negative implications for the ASEAN Economic Community. The aftereffects of the on-going digitalization of economic exchanges for ASEAN’s multilateral dialogue platforms and initiatives in the economic and political-security sphere. The authors’ findings on this set of issues, as well as their assessment, determine the academic originality of the paper.

Process mining is emerging as an important discipline for the analysis, monitoring, and improvement of business and software processes. Methods from process mining are based on the use of formal models and event logs, i.e., describing respectively the expected and observed behavior of system processes. This approach can be leveraged by the software testing industry for the log-based analysis of trading platforms. In this light, this paper presents an approach to extract event logs for process mining from network messages of trading systems. In particular, these messages are Financial Information Exchange (FIX) protocol messages, which are related to trading sessions in order books.

Trading systems have become sophisticated multi-agent in-frastructures with complex development cycles. This is why the financialindustry constantly seeks for novel approaches to design and  validate these systems. We propose the use of models to support such tasks. On the one hand, these models need to describe how objects (e.g., ordersto buy/sell securities) are shared by the system and traders. On the other hand, being a dynamic multi-agent system, models of trading systems should have a clear structure, describing how participants interact between each other. In this paper, we address these requirements, integrating notions of various Petri net extensions. In particular, we discuss modeling capabilities/limitations of each extension, and we propose to integrate them into a single approach, allowing for comprehensive modeling of different trading system components.

The aim of this paper is to present a basic word list for Christian Urmi Neo-Aramaic provided with etymologies and a discussion of problematic positions in the list. This study, which uses a variant of Swadesh list of 110 basic words, is the first research outcome after creating an electronic corpus of literary Christian Urmi based on the texts published in Soviet Union in 1929 - 1938 (Novij Alfavit). With some exponents being uncertain (having two possible variants), the statistical results demonstrate that from 85,5 % to 87,3 % of the exponents have reliable Aramaic etymology. The percentage of loanwords derived from Persian is 3,6 % (or 4,5 %), from Kurdish — 1,8 % (or 2,7 %), from Azeri Turkish — 0,9 %. Six exponents have no clear etymology (5,5 %).

An use of mobile devices for environmental monitoring is relevant. Such a tool as a mobile application can simplify interaction and affect the involvement of urban residents in urban environmental processes. To solve the problem of rapid presentation of air pollution information is possible not only on the basis of a mobile application, but also using SMS messages, messengers or social networks, chatbots. At the same time, the mobile application can be implemented both with push notifications and without push notifications. Any of these decisions can report not only the excess of air pollution above a certain value, but also the current air pollution in the area of residence. Since any of these solutions is user-oriented, the actual task is to assess potential users preferences in a particular solution. The aim of the work is to identify the preferences of the use by the residents of the smart city of potential information tools for informing about urban air pollution and the connection of these preferences with environmental behavior. The results of the research will improve the quality of environmental information to residents of the smart city and environmental monitoring for different populations.

This chapter analyzes an anti-Russian conspiratorial discourse within the Ukrainian public sphere in the aftermath of the Euromaidan revolution of 2014. Because it ended with a change of government in Ukraine, the Maidan transformation has provided fertile ground for conspiracy theories of various sorts. However, in contrast to Russian propagandistic constructions, which presented the Maidan as a coup d’etat staged by the West and committed by local neo-Fascists, Ukrainian conspiratorial discourses have not become a popular subject of analysis in academic research. With the aim of contributing to this research area, this chapter discusses how Ukrainian politicians exploit conspiracy theories to incite public fears and shift attention from the internal dimensions of Ukrainian problems to external ones. The case study discussed is the Odessa tragedy that happened on May 2, 2014, when 48 people died as a result of street clashes between two groups of Ukrainians, the opponents and proponents of the Maidan revolution. Using framing analysis, the chapter investigates the coverage of the tragedy by the news programs of three national television networks and Ukraine’s five most popular news websites on May 3 and 4, the two days immediately after the tragedy.

Conducted from 1996 to 2002, the project Translation Literature in the Social Sciences changed the face of post-Soviet Russian academia. Not only did it result in the translation of more than 400 key publications in human and social sciences, but it also created a community of scholars and translators specialising in social sciences and humanities, many of whom have continued shaping Russian academic landscape until today. This chapter discusses the aims, scope and results of the translation project, as well as the ramifications that it had for contemporary academia. Particular attention is paid to the transformation and changing praxis of translations from Soviet to Post-Soviet Russia.

LoRaWAN is a popular low power wide area network technology widely used in many scenarios, such as environmental monitoring and smart cities. Different applications demand various quality of service (QoS), and their service within a single network requires special solutions for QoS provision. We consider the problem of QoS provision in heterogeneous LoRaWAN networks that consist of several groups of devices that require different packet loss rate (PLR). To solve this problem, we develop a mathematical model that can find the PLR distribution in a LoRaWAN network. With the model, we show that the PLR can vary significantly, and it is wrong to consider only the average PLR for the QoS provision. Finally, we develop an algorithm for assigning modulation and coding schemes to end-devices that provides PLRs below the required thresholds.

This paper presents a compositional conformance checking approach between nested Petri nets and event logs of multi-agent systems. By projecting an event log onto model components, one can perform conformance checking between each projected log and the corresponding component. We formally demonstrate the validity of our approach proving that, to check fitness of a nested Petri net is equivalent to check fitness of each of its components. Leveraging the multi-agent system structure of nested Petri nets, this approach may provide specific conformance diagnostics for each system component as well as to avoid to compute artificial boundaries when decomposing a model for conformance checking.

How can industrial policies lead to bank distress? In the 1890s, the Russian Empire, when undergoing rapid state-led industrialisation, grew by foreign capital inflows into the national debt and by the state’s procurement of industrial output. Concurrently, state policies incentivised industry to expand production. In 1899, the inflow of foreign capital fell sharply, initiating a financial crisis. Using newly-collected historical data and extensive narrative evidence, I find that government development policies were responsible for the industrial distress and, consequently, for the bank losses in the crisis. I also find that the banks which experienced greater distress had more personal connections to top government officials. These banks also had more personal ties to heavy industrial companies.

This paper represents a review of strategic level S&T policies in several leading (mostly OECDmember) countries. How are science and technology leadership being targeted and realized in most developed economies? What are the composition and drivers of such policies? How do the S&T policies and corresponding challenges transform over the last decade? These and some other questions constitute a discussion based on desk research comprising strategic documents, adopted in Germany, Sweden, China, Korea, and Japan. The outcomes provide certain S&T strategic options for further discussion, in terms of both, policy coordination and meeting the future challenges.

Adaptive introgression - the flow of adaptive genetic variation between species or populations - has attracted significant interest in recent years and it has been implicated in a number of cases of adaptation, from pesticide resistance and immunity, to local adaptation. Despite this, methods for identification of adaptive introgression from population genomic data are lacking. Here, we present Ancestry_HMM-S, a Hidden Markov Model based method for identifying genes undergoing adaptive introgression and quantifying the strength of selection acting on them. Through extensive validation, we show that this method performs well on moderately sized datasets for realistic population and selection parameters. We apply Ancestry_HMM-S to a dataset of an admixed Drosophila melanogaster population from South Africa and we identify 18 loci which show signatures of adaptive introgression, four of which have previously been shown to confer resistance to insecticides. Ancestry_HMM-S provides a powerful method for inferring adaptive introgression in datasets that are typically collected when studying admixed populations. This method will enable powerful insights into the genetic consequences of admixture across diverse populations. Ancestry_HMM-S can be downloaded from https://github.com/jesvedberg/Ancestry_HMM-S/.

We introduce a family of linear relations between cell-zeta values that have a form similar to product map relations and jointly with them imply stuffle relations between multiple zeta values.

We apply Weyl n-algebras to prove formality theorems for higher Hochschild cohomology. We present two approaches: via propagators and via the factorization complex. It is shown that the second approach is equivalent to the first one taken with a new family of propagators we introduce.

The purpose of this article is to analyze the centrifugal tendencies in 17 Autonomous Communities of Spain by demonstrating that certain differences in the configurations of factors have lead to varying degrees of the loss of autonomy. The main conclusion is that for the configurations leading to less autonomy, there is a low level of economic development, a low volume of EU funding, and an absence of local languages as a factor of identity. The cases of Andalusia, Asturias, and Galicia are of particular importance in these configurations. For the configurations that lead to greater autonomy, two patterns are identified. The first group (Catalonia and the Basque Country) demonstrates a link between centrifugal tendencies and three conditions: the existence of regionalist parties in the parliaments of Autonomous Communities (AC), a high level of economic development and a high level of identification with a regional language. The second group of cases (Valencia and the Canary Islands) demonstrates the added importance of funding under the EU regional policy programs for the period from 2014 to 2020. The scientific novelty of the article lies in its analysis of the dynamics of centrifugal tendencies in Spain via crisp-set Qualitative Comparative Analysis (csQCA).

This article analyzes some of the verbal features noted in the analysis of the studied chronicles. Section 2 presents the discovered contexts with constructions of "быти + participle in -ъш - / - въш-" which are rarely found in Old Russian texts, section 3 examines examples with the subjunctive mood II, and section 4 discusses the features of the functioning of pluperfect forms. This article analyzes some of the verbal features noted in the analysis of the West Russian Chronicles. Section 2 presents the discovered contexts with constructions of "быти + participle in -ъш - / - въш-" which are rarely found in Old Russian texts, section 3 examines examples with the subjunctive mood II, and section 4 discusses the features of the functioning of pluperfect forms.  

Hardly any literature exists on the relationship between equivalence scales and poverty dynamics for transitional countries. This paper offers a new study on the impacts of equivalence scale adjustments on poverty dynamics in the Russian Federation, using equivalence scales constructed from subjective wealth and more than 20 waves of household panel survey data from the Russia Longitudinal Monitoring Survey. The analysis suggests that the equivalence scale elasticity is sensitive to household demographic composition. The adjustments for the equivalence of scales result in lower estimates of poverty lines. The study decomposes poverty into chronic and transient components and finds that chronic poverty is positively related to the adult scale parameter. However, chronic poverty is less sensitive to the child scale factor compared with the adult scale factor. Interestingly, the direction of income mobility might change depending on the specific scale parameters that are employed. The results are robust to different measures of chronic poverty, income expectations, reference groups, functional forms, and various other specifications.

Game-theoretic models of learning are hard to study even in the laboratory setting due to econometric and practical concerns (like the limited length of an experimental session). In particular, as the simulations by (Salmon, 2001) show, in a cross-model (or "blind'') testing of several models, the data generated by those models does not correspond to the estimated parameters correctly. Thus, even when the real data generation process is known we cannot distinguish correct models from incorrect ones by looking at the estimates. However, we demonstrate that under the same conditions, models are clearly distinguishable if we compare predictions that the models make instead of comparing the model parameters. We also provide a rationale for why this cross-model predictive quality is a particularly relevant way for improving learning models.

Subsequent search misses refer to the decrease in accuracy of second target detection in dual-target visual search. One of the theoretical explanations of SSM errors is similarity bias – the tendency to search for similar targets and to miss the dissimilar ones. The current study focuses on both perceptual and categorical similarity and their individual roles in SSM. Three experiments investigated the role of perceptual and categorical similarity in subsequent search misses, wherein perceptual and categorical similarity were manipulated separately, and task relevance was controlled. The role of both perceptual and categorical similarity was revealed, however, the categorical similarity had greater impact on second target detection.

Both linguistic (e.g., words, syntax) and extralinguistic (e.g., voice quality) information needs to be considered by interlocutors during linguistic communication. The effects of extralinguistic information on neural sentence processing are particularly poorly understood. Here, we used EEG and passive non-attend design with visual distraction in order to investigate how extralinguistic information affects brain activity during syntactic processing. We collected ERPs while participants listened to Russian pronoun-verb phrases recorded in either male or female voice. We manipulated congruency between the grammatical gender signaled by the verb’s ending and the speaker’s apparent gender. We registered both early and late phrase processing signatures in the incongruent conditions including ELAN (peaking at ~150 ms) and N400. Our data suggest a high degree of automaticity in integrating extralinguistic information during syntactic processing indicating existence of a rapid automatic syntactic integration mechanism sensitive to both linguistic and extralinguistic information.

Communities of practices (CoPs) are groups of people with a common area of expertise or professional practice who interact to exchange, share, and learn from one another. CoPs play a crucial role in distinguishing, memorizing, and exchanging novel effective practices within the organization, enabling the organization to improve its performance. In ―normal‖ circumstances, CoPs rely on channels with high media richness (i.e., personal meetings in informal settings, short- and long-term visits to sister subsidiaries, participation in joint task forces) that transfer tacit knowledge. We demonstrate how it is possible to preserve effective functioning of CoPs using communication channels with lower media richness.

We explore several types of functional relations on the family of multivariate Tutte polynomials: the Biggs duality and the star-triangle transformation at the critical point n=2. We deduce the Matiyasevich theorem and its inverse from the Biggs duality, apply the duality argument to construct the recursion on the parameter n. We provide two different proofs of the Zamolodchikov tetrahderon equation satisfied by the star-triangle transformation in the case of n=2 multivariate Tutte polynomial, extend the latter to the case of valency 2 points and show that the Biggs duality and the star-triangle transformation commute.

Numerical information can be represented in three formats: two symbolic (visual (digits) and verbal (number words)) and one nonsymbolic (analog) format. Studies have shown that the precision of symbolic numerical representation is associated with math performance. The precision of symbolic representation is mostly discussed as the precision of representation in a visual format, whereas the precision of representation in verbal format and its relation with math performance is less studied. The current study examines the precision of symbolic numerical representation in visual and verbal formats and the relationship between such precision and math performance when controlling for prior math performance, nonsymbolic numerical representation, phonological processing, reading skills and working memory. We used data from 367 Russian first graders (mean age, 7.6 years; 53% girls). To assess the precision of symbolic numerical representation, magnitude comparison tasks with digits and number words were used. It was found that the precision of symbolic representation in verbal format did not have a direct effect on math performance, but has an indirect effect via visual format of symbolic representation, even when controlling for prior math performance and other cognitive abilities.

This paper studies the convergence in per capita gross regional products (GRPs) across Russian regions in the period from 1996 to 2017. We estimate growth equations, which are directly derived from a neoclassical growth model, augmented with human capital and migration. To our knowledge, this is the first paper that explicitly applies a neoclassical model to analyze regional convergence in Russia. We also take into account possible spatial effects and do a series of other robustness checks. Our main estimates establish a convergence rate of around 2% per year. While we fail to find any role of human capital for regional economic growth, we find that interregional migration and the interdependencies of the growth of Russian regions contribute to the economic convergence between them.

This research focuses on emancipative value orientations, regional factors and their interaction in determining social capital in Russia. We are especially interested in how the effects vary for formal and informal social capital, measured as different types of civic engagement. Applying multilevel regression modeling on national survey data MegaFOM 2017 and available official statistics, we find that emancipative values significantly increase the probability of taking part in civic activities, yet the effect is larger and more uniform across regions for formal social capital. Contrary to expectations and previous cross-country studies, the moderating effect of emancipative values prevalence is either insignificant or rather unstable and goes in the negative direction. Moreover, other regional resources do not significantly moderate the relation between individual emancipative values preference and social capital. 

We derive a new explicit formula in terms of sums over graphs for the n-point correlation functions of general formal weighted double Hurwitz numbers coming from the Orlov-Scherbin partition functions. Notably, we use the change of variables suggested by the associated spectral curve, and our formula turns out to be a polynomial expression in a certain small set of formal functions defined on the spectral curve.