This book examines how Russia, the world’s most complicated country, is governed. As it resumes its place at the centre of global affairs, the book explores Russia’s overarching strategies, and how it organizes itself (or not) in policy areas ranging from foreign policy and national security to health care, education, immigration, science, sport, agriculture, the environment and criminal justice. The book also discusses the structures and institutions on which Russia relies in order to deliver its goals in these areas of national life, as well as what’s to be done, in policy terms, to improve the country’s performance in its first post-Soviet century. Edited by Irvin Studin, the book includes contributions from a tremendous list of Russia’s leading thinkers and specialists, including Alexei Kudrin, Vladimir Mau, Alexander Auzan, Simon Kordonsky, Fyodor Lukyanov, Natalia Zubarevich and Andrey Melville.

The development and use of Genetically modified organisms (GMOs) has been a contentios subject for the last three decades. while there has been a number of social science analysis of the issues, this is the first book to assess the role of non-governmental organizations (NGOs) in the debate at such wide geographic scale. The various posiotions, for and against GMOs, particularly with regards to trangenic crops, articulated by NGOs in the debate are dissected, classified and juxtaposed to corresponding campaigns. these are discussed in the context of paradigms, including nature fundamentalism and the organic movement, post-colonialism, food sovereignty, anti-globalism, sustainability and feminism. This book also analyses how NGOs interprete the debate and the persuasive communication tactics. 

 

The Paris Climate Agreement established a new target of combating global warming "well below 2 degrees Celsius". This goal will lead to the transformation and deep decarbonization of world economy aiming at nearly zero carbon emissions soon after 2050. The Northeastern Asian countries (responsible for 40% of global CO2 emissions) have all rechnological, resource and ivnestment potential for decarbonization both domestically and internationally, and can show leadership in this efforts on global scale.

The book provides the first in-depth, multidisciplinary study of reurbanization in Russia's Arctic regions, with a specific focus on new mobility patterns, and the resulting birth of new urban Arctic identities in which newcomers and labor migrants form a rising part. It is an invaluable reference for all those interested in current trends in circumpolar regions, showing how the Arctic is becoming more diverse culturally, but also more integrated into globalized trends in terms of economic development, urban sustainability, and migration.

The piblication provides the key lessons learnt from DDPP project experience on designing long-term pathways of low carbon development for 16 world largest economies. The Paris Climate Agreement requires countries to build their concrete vision of the national low-emission transition, consistent with global climate goals that would widely shared by domestic stakeholders and explicitly articulated with domestic socio-economic priorities. We analyze the experience of USA, France, Germany, Russia, China, India, Indonesia, Japan, UK, Mexico, Canada, Italy, Brazil in projecting the deep decarbonization scenarios for their economies by 2050.

The book presents a brief summary of the scientific research on deep decarbonization of 16 largest economies by 2050.

This report examines the changes happening in Russia ever since the issue of global warming was introduced on the global agenda. Only today, after the planet has experienced a variety of catastrophic natural disasters, have world leaders and decision makers grown more aware of the urgency of the problem. In Russia, where climate changes have been more significant than globally on average, the government has increased its objectives in reducing greenhouse gas emissions and put forward a number of initiatives and green policy measures to achieve more sustainability in the long term. Russia’s target for greenhouse gas emissions in 2030 is set at 70-75 percent of the base level of 1990, according to the new action plan adopted by the Kremlin. Other states also recognize the problem but their positions differ in the way the issue should be solved. India, China, the U.S. and Brazil, all of which are important players analyzed in the report, find it hard to reach common ground in reaching a globally binding agreement. Whether this will be done ultimately depends on the outcome of the Paris climate change conference. The report also considers the state of the Russian climate change movement from the experience of NGO activities in Russia, provides an overview of the development of the Russian green energy sector with specific success stories and analyzes the prospects of renewable energy development in different regions of the country.

This supplementary material contains case studies presenting specific aspects of the DDPP country pathways. They illustrate and complement the cross-cutting analysis included in the 2015 DDPP synthesis report

The Deep Decarbonization Pathways Project (DDPP) is a collaborative global research initiative seeking to understand how individual countries can transition, on a technological, socio-economic and policy “pathway”, to a low-carbon economy consistent with the internationally agreed goal of limiting anthropogenic warming to less than 2 degrees Celsius (2°C). Achieving this goal requires that the world cut global net emissions of greenhouse gases (GHG) so that they approach zero between 2050 and 2075, consistent with the Intergovernmental Panel on Climate Change (IPCC)1 2014 findings that to ensure a better-than-even chance of remaining below a 2°C temperature rise, global annual emissions will need to be reduced 42%–57% by 2050 (relative to 2010), and 73%–107% by 2100. This will entail, more than any other factor, the profound transformation of energy systems through steeply reducing carbon intensity in all sectors of the economy. We call this transition “deep decarbonization” and our products, Deep Decarbonization Pathways (DDPs).

The present volume is the fourth issue of the Yearbook series entitled ‘Evolution’. The title of the present volume is ‘From Big Bang to Nanorobots’. In this way we demonstrate that all phases of evolution and Big History are covered in the articles of the present Yearbook. Several articles also present the forecasts about future development.

The main objective of our Yearbook as well as of the previous issues is the creation of a unified interdisciplinary field of research in which the scientists specializing in different disciplines could work within the framework of unified or similar paradigms, using the common terminology and searching for common rules, tendencies and regularities. At the same time for the formation of such an integrated field one should use all available opportunities: theories, laws and methods. In the present volume, a number of such approaches are used.

The volume consists of four sections: Universal Evolutionary Principles; Biosocial Evolution, Ecological Aspects, and Consciousness; Projects for the Future; In Memoriam.

This Yearbook will be useful both for those who study interdisciplinary macroproblems and for specialists working in focused directions, as well as for those who are interested in evolutionary issues of Cosmology, Biology, History, Anthropology, Economics and other areas of study. More than that, this edition will challenge and excite your vision of your own life and the new discoveries going on around us!

The Deep Decarbonization Pathways Project (DDPP) is a collaborative initiative to understand and show how individual countries can transition to a low-carbon economy and how the world can meet the internationally agreed target of limiting the increase in global mean surface temperature to less than 2 degrees Celsius (°C). Achieving the 2°C limit will require that global net emissions of greenhouse gases (GHG) approach zero by the second half of the century. This will require a profound transformation of energy systems by mid-century through steep declines in carbon intensity in all sectors of the economy, a transition we call “deep decarbonization.” Successfully transitioning to a low-carbon economy will require unprecedented global cooperation, including a global cooperative effort to accelerate the development and diffusion of some key low carbon technologies.

This collection is a special issue of Russian Sociological Review dedicated to the concept of border. The concept itself seems to draw attention in many disciplines. As spatial phenomena, borders are always drawn in spaces, while social scientists, philosophers and other academics often have different meanings of space. Recent reconsiderations of space in terms of networks, flows and events, bring even more complexity to the concept. The current volume contributes to both theoretical and empirical studies of borders on various levels. Contributions look at the relevant phenomena from contemporary or historical perspectives, study narratives about borders, reconstructions of the empirical configurations of borders and other objects (such as bodies), exploring how borders emerge and reshape existing spaces, etc. Overall, the issue contributes to the emerging interdisciplinary field of border studies and encourages cross-disciplinary dialogue.

 

Work-book «The current state of the Russian oil and gas industry» is offered for publication as a training aid for students qualified at the direction 131000 “Oil and gas engineering”. We have described the geology of hydrocarbons, in particular - the geology of heavy oil, unconventional resources of energy, etc. In this workbook there are also methods for the development of deposits of heavy oil and produce shale oil. Special attention was given to unconventional sources of hydrocarbons, exactly, gas hydrates and clayey shale. Novelty of work-book is presentation of oil and gas terminology to students from China. This work-book is published for the first time and will be very useful for self-study students of oil and gas disciplines, as well as oil and gas terms in Russian, English and Chinese. The manuscript is classified as «Approved by UMO on Higher Education in the field of applied geology as a work book for students enrolled in the direction 131000 “Oil and Gas Engineering”».

Climate change is already having a negative impact on agricultural production in Russia, especially grain production, since this sector is perhaps the most dependent on weather and climate factors. This report presents an economic evaluation of the impact of climate change on crop production at the national level and a long-term economic evaluation of the losses, profits, and risks for agriculture throughout Russia. It analyses the situation in the two the major agricultural regions, where the negative effects of climate change are especially pronounced, and examines the prospects for adapting Russia’s agriculture to climate change

The study includes a variety of topics, from a review of the political, legal and institutional frameworks for the development of a “green economy” in Russia, to concrete practices of separate waste collection, the development of renewable energy sources and aspects of environmental education. We tried to look at the process of sustainable development in Russia from diff erent perspectives, including the political and economic background, the legal situation, existing practices of sustainable development and how environmental information circulated, including journalism and education on sustainable development. The result is a broad study, which includes a collection of articles written by both theorists and practitioners of sustainable development in Russia.

Human reasoning uses to distinguish things that do change and things do not. The latter are commonly expressed in the reasoning as objects, which may represent classes or instances, and classes being further divided into concept types and relation types. These became the main issue of knowledge engineering and have been well tractable by computer. The former kind of things, meanwhile, inevitably evokes consideration not only of a ``thing-that-changes'' but also of ``change-of-a-thing'' and thus claims that the change itself be another entity that needs to be comprehended and handled. This special entity, being treated from different perspectives as event, (changeable) state, transformation, process, scenario and the like, remains a controversial philosophical, linguistic and scientific entity and has gained notably less systematic attention by knowledge engineers than non-changing things.   In particular, there is no clarity in how to express the change in knowledge engineering -– as some specific concept or relation type, as a statement, or proposition, in which subject is related to predicate(s), or in another way. There seems to be an agreement among the scientists that time has to be related, explicitly or implicitly, to everything we regard as change -– but the way it should be related, and whether this should be exactly the time or some generic property or condition, is also an issue of debate.   To bring together the researchers who study representation of change in knowledge engineering both in fundamental and applied aspects, a workshop on Modeling States, Events, Processes and Scenarios (MSEPS 2013) was run on 12 January, 2013, in the framework of the 20th International Conference on Conceptual Structures (ICCS 2013) in Mumbai, India. Seven submissions were selected for presentation that cover major approaches to representation of the change and address such diverse domains of knowledge as biology, geology, oceanography, physics, chemistry and also some multidisciplinary contexts.   Concept maps of biological and other transformations were presented by Meena Kharatmal and Nagarjuna Gadiradju. Their approach stems from conceptual graphs of Sowa and represents the vision of change as a particular type of concept or, likely, relation, defined by meaning rather than by formal properties.   The work of Prima Gustiene and Remigijus Gustas follows a congenial approach but develops a different notation for representation of the change based on specified actor dependencies in application to business issues concerning privacy-related data.   Nataly Zhukova, Oksana Smirnova and Dmitry Ignatov explore the structure of oceanographic data in concern of opportunity of their representation by event ontologies and conceptual graphs. Vladimir Anokhin and Biju Longhinos examine another Earth science, geotectonics, and demonstrate that its long-lasting methodological problems urge application of knowledge engineering methods, primarily engineering of knowledge about events and processes. They suggest a draft of application strategy of knowledge engineering in geotectonics and claim for a joint interdisciplinary effort in this direction.   Doji Lokku and Anuradha Alladi introduce a concept of ``purposefulness'' for any human action and suggest a modeling approach based on it in the systems theory context. In this approach, intellectual means for reaching a purpose are regarded either as structure of a system, in which the purpose is achieved, or as a process that takes place in this system. These means are exposed to different concerns of knowledge, which may be either favorable or not to achieving the purpose. The resulting framework perhaps can be described in a conceptual-graph-related way but is also obviously interpretable as a statement-based pattern, more or less resembling the event bush (Pshenichny et al., 2009).   This binds all the aforementioned works with the last two contributions, which represent an approach based on understanding of the change as a succession of events (including at least one event), the latter being expressed as a statement with one subject and finite number of predicates. The method of event bush that materializes this approach, previously applied mostly in the geosciences, is demonstrated here in application to physical modeling by Cyril Pshenichny, Roberto Carniel and Paolo Diviacco and to chemical and experimental issues, by Cyril Pshenichny. The reported results and their discussion form an agenda for future meetings, discussions and publications. This agenda includes, though is not limited to,     - logical tools for processes modeling, - visual notations for dynamic knowledge representation, - graph languages and graph semantics, - semantic science applications, - event-driven reasoning, - ontological modeling of events and time, - process mining, - modeling of events, states, processes and scenarios in particular domains and interdisciplinary contexts.     The workshop has marked the formation of a new sub-discipline in the knowledge engineering, and future effort will be directed to consolidate its conceptual base and transform the existing diversity of approaches to representation of the change into an arsenal of complementary tools sharpened for various spectral regions of tasks in different domains.        

The given study is devoted to the issues of searching the ways for adaptation to climate change, mitigation of its impact on the economy and population, as well as to the role of increasing energy efficiency in the economies of some countries of Eastern Europe, Caucasus and Central Asia (EECCA). It also relates to the issues of responding to negative trends and emerging challenges caused by climate change. The Report represents several case studies on the above topics implemented in Moldova, Tadjikistan, Kazakhstan, Azerbaijan and the Russian Federation by the network of regional enviuronmental centres. It also contains consideration of possible methodological approaches and recommendations on addressing the above issues in the EECCA region.

This report analyzes the development trends and conditions of the Russian economy, specifically its energy sector. It also reviews the projections of carbon emissions by 2020 and beyond in the context of the Russian government's scenarios of economic development. The second section of the report focuses on Russia's position in the negotiation process on a post-2012 climate regime, including the emission limitation pledge, carry-over of the surplus of assigned amount units (AAU) beyond 2012 and the forest carbon sinks. The report is written by Dr George Safonov, State University - Higher School of Economics/ Russian Environmental Defense Fund and Dr Oleg Lugovoy, Russian Environmental Defense Fund and Dr Anna Korppoo, the Finnish Institute of International Affairs. The Nordic Ministers of Environments established the Nordic COP 15 Group early in 2008. In January 2010 the group was renamed to the Nordic ad hoc Group on Global Climate Negotiations. The main tasks of the group are to prepare reports and studies, conduct relevant meetings and organize conferences supporting the Nordic negotiators in the UN climate negotiations. The overall aim of the group is to contribute to a global and comprehensive agreement on climate change with ambitious emission reduction commitments.

Genes coding for small peptides have been frequently misannotated as long noncoding RNA (lncRNA) genes. Here we have demonstrated that one such transcript is translated into a 56-amino-acid-long peptide conserved in chordates, corroborating the work published while this manuscript was under review. The Mtln peptide could be detected in mitochondria of mouse cell lines and tissues. In line with its mitochondrial localization, lack of the Mtln decreases the activity of mitochondrial respiratory chain complex I. Unlike the integral components and assembly factors of NADH:ubiquinone oxidoreductase, Mtln does not alter its enzymatic activity directly. Interaction of Mtln with NADH-dependent cytochrome b5 reductase stimulates complex I functioning most likely by providing a favorable lipid composition of the membrane. Study of Mtln illuminates the importance of small peptides, whose genes might frequently be misannotated as lncRNAs, for the control of vitally important cellular processes.

Many pharmaceutical companies are avoiding the development of novel antibacterials due to a range of rational reasons and the high risk of failure. However, there is an urgent need for novel antibiotics especially against resistant bacterial strains. Available in silico models suffer from many drawbacks and, therefore, are not applicable for scoring novel molecules with high structural diversity by their antibacterial potency. Considering this, the overall aim of this study was to develop an efficient in silico model able to find compounds that have plenty of chances to exhibit antibacterial activity. Based on a proprietary screening campaign, we have accumulated a representative dataset of more than 140,000 molecules with antibacterial activity against Escherichia coli assessed in the same assay and under the same conditions. This intriguing set has no analogue in the scientific literature. We applied six in silico techniques to mine these data. For external validation, we used 5,000 compounds with low similarity towards training samples. The antibacterial activity of the selected molecules against E. coli was assessed using a comprehensive biological study. Kohonen-based nonlinear mapping was used for the first time and provided the best predictive power (av. 75.5%). Several compounds showed an outstanding antibacterial potency and were identified as translation machinery inhibitors in vitro and in vivo. For the best compounds, MIC and CC50 values were determined to allow us to estimate a selectivity index (SI). Many active compounds have a robust IP position.

Understanding the molecular mechanisms underlying variation in lifespan is central to ensure long life. Lim3 encoding a homolog of the vertebrate Lhx3/4 transcription factors plays a key role in Drosophila neuron development. Here, we demonstrated that Lim3 knockdown early in life decreased survival of adult flies. To study the mechanisms underlying this effect, we identified embryonic Lim3 targets using combined RNA-seq and RT-qPCR analyses complemented by in silico analysis of Lim3 binding sites. Though genes with neuronal functions were revealed as Lim3 targets, the characteristics of neurons were not affected by Lim3 depletion. Many of the direct and indirect Lim3 target genes were associated with mitochondrial function, ATP-related activity, redox processes and antioxidant defense. Consistent with the observed changes in the embryonic transcription of these genes, ROS levels were increased in embryos, which could cause changes in the transcription of indirect Lim3 targets known to affect lifespan. We hypothesize that altered mitochondrial activity is crucial for the decrease of adult lifespan caused by Lim3 knockdown early in life. In adults that encountered Lim3 depletion early in life, the transcription of several genes remained altered, and mitochondrial membrane potential, ATP level and locomotion were increased, confirming the existence of carry-over effects.

Background

In the past decade, several studies have examined the effects of transcranial direct current stimulation (tDCS) on long-term episodic memory formation and retrieval. These studies yielded conflicting results, likely due to differences in stimulation parameters, experimental design and outcome measures.

Objectives

In this work we aimed to assess the robustness of tDCS effects on long-term episodic memory using a meta-analytical approach.

Methods

We conducted four meta-analyses to analyse the effects of anodal and cathodal tDCS on memory accuracy and response times. We also used a moderator analysis to examine whether the size of tDCS effects varied as a function of specific stimulation parameters and experimental conditions.

Results

Although all selected studies reported a significant effect of tDCS in at least one condition in the published paper, the results of the four meta-analyses showed only statistically non-significant close-to-zero effects. A moderator analysis suggested that for anodal tDCS, the duration of the stimulation and the task used to probe memory moderated the effectiveness of tDCS. For cathodal tDCS, site of stimulation was a significant moderator, although this result was based on only a few observations.

Conclusions

To warrant theoretical advancement and practical implications, more rigorous research is needed to fully understand whether tDCS reliably modulates episodic memory, and the specific circumstances under which this modulation does, and does not, occur.

We applied transcranial alternating current stimulation (tACS) to the primary motor cortex (M1) at different frequencies during an index-thumb pinch-grip observation task. To estimate changes in the corticospinal output, we used the size of motor evoked potentials (MEPs) obtained by transcranial magnetic stimulation (TMS) of M1 using an online MRI-guided simultaneous TMS-tACS approach. The results of the beta-tACS confirm a non-selective increase in corticospinal excitability in subjects at rest; an increase was observed for both of the tested hand muscles, the first dorsal interosseous (FDI) and the abductor digiti minimi (ADM). However, during action observation of the pinch-grip movement, the increase of corticospinal excitability was only observed for the prime mover FDI muscle and took place during alpha-tACS, while gamma-tACS affected both the FDI and control muscle (ADM) responses. These phenomena likely reflect the hypothesis that the mu and gamma rhythms specifically index the downstream modulation of primary sensorimotor areas by engaging mirror neuron activity. The current neuromodulation approach confirms that tACS can be used to induce neurophysiologically detectable state-dependent enhancement effects, even in complex motor-cognitive tasks

Red blood cells of rats were exposed to the earth’s magnetic field and an attenuated magnetic field in the presence of tert-butyl hydroperoxide to induce oxidative stress. Spectral analysis within the wavelength range of 500–700 nm was used to estimate the concentration of three forms of hemoglobin: oxyhemoglobin, methemoglobin, and hemichrome, released during erythrocyte hemolysis. The concentration of reactive oxygen species was determined in samples by spin trapping using electron paramagnetic resonance. It was found that after 4 h of incubation at high tert-butyl hydroperoxide concentrations (>700 μM), red blood cells that were exposed to an attenuated magnetic field released considerably more (p < 0.05) hemoglobin, mostly methemoglobin. After 24 h of incubation at low tert-butyl hydroperoxide concentrations (≤350 μM), erythrocytes that were exposed to the earth’s magnetic field released relatively more (p < 0.001) hemoglobin, with methemoglobin as a major form of total hemoglobin. Red blood cells exposed to the attenuated magnetic field generated more oxygen radicals than cells exposed to the earth’s magnetic field. Under certain oxidative stress conditions, the attenuated magnetic field can impair the functional state of red blood cells and provoke cell death. However, low concentrations of reactive oxygen species can neutralize attenuated magnetic field effects.

The evolution of gene expression in mammalian organ development remains largely uncharacterized. Here we report the transcriptomes of seven organs (cerebrum, cerebellum, heart, kidney, liver, ovary and testis) across developmental time points from early organogenesis to adulthood for human, rhesus macaque, mouse, rat, rabbit, opossum and chicken. Comparisons of gene expression patterns identified correspondences of developmental stages across species, and differences in the timing of key events during the development of the gonads. We found that the breadth of gene expression and the extent of purifying selection gradually decrease during development, whereas the amount of positive selection and expression of new genes increase. We identified differences in the temporal trajectories of expression of individual genes across species, with brain tissues showing the smallest percentage of trajectory changes, and the liver and testis showing the largest. Our work provides a resource of developmental transcriptomes of seven organs across seven species, and comparative analyses that characterize the development and evolution of mammalian organs.

Competition for resources is a fundamental characteristic of evolution. Auctions have been widely used to model competition of individuals for resources, and bidding behaviour plays a major role in social competition. Yet, how humans learn to bid efficiently remains an open question. We used model‐based neuroimaging to investigate the neural mechanisms of bidding behaviour under different types of competition. Twenty‐seven subjects (nine male) played a prototypical bidding game: a double action, with three “market” types, which differed in the number of competitors. We compared different computational learning models of bidding: directional learning models (DL), where the model bid is “nudged” depending on whether it was accepted or rejected, along with standard reinforcement learning models (RL). We found that DL fit the behaviour best and resulted in higher payoffs. We found the binary learning signal associated with DL to be represented by neural activity in the striatum distinctly posterior to a weaker reward prediction error signal. We posited that DL is an efficient heuristic for valuation when the action (bid) space is continuous. Indeed, we found that the posterior parietal cortex represents the continuous action space of the task, and the frontopolar prefrontal cortex distinguishes among conditions of social competition. Based on our findings, we proposed a conceptual model that accounts for a sequence of processes that are required to perform successful and flexible bidding under different types of competition.

Alzheimer’s disease is an age-related pathology associated with accumulation of amyloid-β peptides, products of enzymatic cleavage of amyloid-β precursor protein (APP) by secretases. Several familial mutations causing early onset of the disease have been identified in the APP transmembrane (TM) domain. The mutations influence production of amyloid-β, but the molecular mechanisms of this effect are unclear. The “Australian” (L723P) mutation located in the C-termini of APP TM domain is associated with autosomal-dominant, early-onset Alzheimer’s disease. Herein, we describe the impact of familial L723P mutation on the structural-dynamic behavior of APP TM domain studied by high-resolution NMR in membrane-mimicking micelles and augmented by molecular dynamics simulations in explicit lipid bilayer. We found L723P mutation to cause local unfolding of the C-terminal turn of the APP TM domain helix and increase its accessibility to water required for cleavage of the protein backbone by γ-secretase in the ε-site, thus switching between alternative (“pathogenic” and “non-pathogenic”) cleavage cascades. These findings suggest a straightforward mechanism of the pathogenesis associated with this mutation, and are of generic import for understanding the molecular-level events associated with APP sequential proteolysis resulting in accumulation of the pathogenic forms of amyloid-β. Moreover, age-related onset of Alzheimer’s disease can be explained by a similar mechanism, where the effect of mutation is emulated by the impact of local environmental factors, such as oxidative stress and/or membrane lipid composition. Knowledge of the mechanisms regulating generation of amyloidogenic peptides of different lengths is essential for development of novel treatment strategies of the Alzheimer’s disease.

Admixture is increasingly being recognized as an important factor in evolutionary genetics. The distribution of genomic admixture tracts, and the resulting effects on admixture linkage disequilibrium, can be used to date the timing of admixture between species or populations. However, the theory used for such prediction assumes selective neutrality despite the fact that many famous examples of admixture involve natural selection acting for or against admixture. In this paper, we investigate the effects of positive selection on the distribution of tract lengths. We develop a theoretical framework that relies on approximating the trajectory of the selected allele using a logistic function. By numerically calculating the expected allele trajectory, we also show that the approach can be extended to cases where the logistic approximation is poor due to the effects of genetic drift. Using simulations, we show that the model is highly accurate under most scenarios. We use the model to show that positive selection on average will tend to increase the admixture tract length. However, perhaps counter-intuitively, conditional on the allele frequency at the time of sampling, positive selection will actually produce shorter expected tract lengths. We discuss the consequences of our results in interpreting the timing of the introgression of EPAS1 from Denisovans into the ancestors of Tibetans.

Estimation of the relationship between DNA sequences is one of the most important problems in genomics. Understanding these relationships is central to de- mographic inference, correction of population structure in GWAS, identifying signals of selection etc. The data structure containing the full information about sample genealogy is called the ancestral recombination graph (ARG). However, ARG inference is a very dicult problem, not least due to a very complex state space. In this work we describe a new approach for fast and scalable generation of local tree topologies relating large numbers of haplotypes. Our method is closely related to the estimation of ARG, and captures both local and global properties of an ARG. It is based on a data structure which we call tree consistent PBWT , a modi cation of PBWT data structure intro- duced by R. Durbin (2014). We also explore some methods to estimate the quality of the generated tree topologies and to make inferences based on them. At the end we discuss a probabilistic model which could potentially lead to the estimation of ARG node times.

Whether the motor cortex activation accompanying concrete verbs comprehension is necessary for verbs conceptual processing is still a hotly debated topic in the literature. Answering this question, we examined to what extent the more difficult access to verb semantics requires an additional engagement of cortical motor system in verb generation task. Using power suppression of MEG beta oscillations (15-30 Hz) as an index of sensorimotor activation, we presented to our participants the noun cues which either were strongly associated with a single verb and prompted the fast and effortless verb retrieval, or were weakly associated with multiple verbs and were more difficult to respond to. A whole-brain analysis of beta suppression revealed that the only cortical regions sensitive to the difficulty of semantic access were the higher order motor areas on the medial and lateral surfaces of the frontal lobe. This differential activation of cortical motor system accompanied effortful verb retrieval and preceded the preparation of vocal response for more than 500 milliseconds. Since the mid-frontal frontal brain areas are involved in maintaining abstract representations of actions during their initiating and planning, we argue that our finding supports the view that motor associations contribute to retrieval of verb semantics.

Continuous high-resolution monitoring of Sphagnum growth can provide insights into the biological rhythms of moss growth. Moss Sphagnum riparium is a convenient model for growth monitoring. Application of the method of geotropic curvatures has enabled a three-year monitoring with two to five-day intervals. We measured the increment in ca. 85000 shoots and produced ca. 3500 growth rate estimates, making this study a champion in precision compared to previous efforts. The zeitgeber for seasonal growth rhythms is the temperature seasonal cycle (R2=0.21–0.52). When the temperature changes by 10C, moss growth rate is modified by 0.10–0.17cm/day according to the linear model, and 1.47–2.06-fold in the exponential model. The zeitgeber for circalunar rhythms is the lunar synodic cycle (R2=0.14–0.26). The average amplitude of the fluctuations it induces in the growth rate is 0.0425–0.0572cm/day, which is equivalent to the effect of a 3.43–4.53C change in temperature. The third rhythm can be distinguished in periodograms. Its period ranges from 10 to 16 days, but we did not detect the zeitgeber. In total, three rhythms explain 51–78% of the growth rate. We believe that the strong rhythmicity in Sphagnum growth is associated with shoot growth synchronization.

In most countries, women live longer than men. Differences in longevities are country-specific and change over time. We perform a cross-country panel data analysis in developed countries (OECD and EU) to study the gender-longevity gap dependence on various socio-economic indicators and test a number of contradicting theories. We show that a lower gender longevity gap is associated with a higher real GDP per capita, a higher level of urbanization, lower income inequality, lower per capita alcohol consumption and a better ecological environment. An increase in women’s aggregate unemployment rate and a decline in men’s unemployment are associated with a higher gap in life expectancies. The effect of the share of women in parliaments in the gender-longevity gap is estimated to have a U-shape; it has a better descriptive efficiency if taken with a 5-years lag, which approximately corresponds to the length of political cycles.

Human genetic variability is thought to account for a substantial fraction of individual biochemical characteristics — in biomedical sense, of individual drug response. However, only a handful of human genetic variants have been linked to medication outcomes. Here, we combine data on drug-protein interactions and human genome sequences to assess the impact of human variation on their binding affinity. Using data from the complexes of FDA-drugs and drug-like compounds, we predict SNPs substantially affecting the protein-ligand binding affinities. We estimate that an average individual carries ~6 SNPs affecting ~5 different FDA-approved drugs from among all of the approved compounds. SNPs affecting drug-protein binding affinity have low frequency in the population indicating that the genetic component for many ADEs may be highly personalized with each individual carrying a unique set of relevant SNPs. The reduction of ADEs, therefore, may primarily rely on the application of computational genome analysis in the clinic rather than the experimental study of common SNPs.

Despite the success of many countries in increasing energy saving and energy efficiency, the global energy consumption is expected to continue its growth. The main reasons are economic development and population growth happening primarily in developing and emerging economies, especially in India and China. In such circumstances fossil fuels will remain the dominant energy source in the medium and even long run. The present research paper aims at analyzing the current global trends in the energy sector identified through literature review and expert tools, and their influence on Russia. Considering a broad range of factors, the paper determined the following main challenges for the Russian energy sector: tightening competition at international energy markets, the need for comprehensive modernization and stronger energy efficiency measures, the need for technological catch-up in a number of energy sector segments, the need to increase recovery factor at traditional oilfields, and the need to diversify energy mix by increasing the share of renewables. The paper also considers the main rationale for the last challenge that include strengthened security, reliability and sustainability of the Russian energy sector. Among the key preconditions for advancements in renewable energy are improvements in investment climate, modernisation of the central grid and changes in energy policy. The paper is based on the outcomes of the first stage of the Foresight project devoted to renewable energy technologies.

The paper aims to reveal the relationship between improvement in human diet and transition to democracy. The spread of a ‘European diet’ – the diet with historically unprecedented high proportion of animal proteins in daily calories intake – is likely to be one of the factors of regime change since 1992. In contrast to other studies, I regard European diet as an outcome of long historical transformation and show that improvement in nutrition preceded regime change. To get data on nutrients consumption around the world I apply to the Food balance sheets data from FAOSTAT. Based on this data I are able to define a European diet as the one containing animal protein-rich items (mostly, meat and dairy), alcohol beverages and sugar. Using OLS, factor analysis and SEM I test the direct and indirect effects of the European diet on the chance of transition to democracy and find positive impact of improvement in diet on political change. My findings reveal that improvement in diet affects democratization, but not vice versa.

The Foresight study presented in this paper is devoted to the sustainable use of water resources in Russia. The authors analyse possible trajectories of development in the three thematic areas (i) sustainability of water systems; (ii) water use by households and in industry; and (iii) new water products and services. The Foresight methods cover expert interviews and seminars, desk research, and policy analysis. The state and corporate policy recommendations for the water sector offered in this study correspond with the water scenarios earlier identified by Saritas et al.: “Nearly ideal future”, “Losses and accidents”, “Problem conservation”, and “National Priority” [Saritas et al., 2015]. For each of these four scenarios, policy recommendations for water companies were identified covering new solutions (including technological innovations), new values and competencies, organisational changes, modernisation of the infrastructure, financial issues, and legal and regulatory changes. Moreover, we recommend certain policy measures and approaches to state policy in the water sector.  The paper concludes with the main directions and instruments for the sector’s development, which should be planned and implemented jointly by the government and businesses, as well as other stakeholders (organisations and people).

This article considers the uneven positions of school teachers in different regions of the Russian Federation. There exist numerous research works on the relation of school teachers’ salaries to the characteristics of regional educational systems and regional economies. A range of indicators is used to calculate school teachers’ salaries. It is necessary to consider the ratio of the teachers’ salary to the average salary in the region, the latter serving as a target indicator in government programs, in combination with other indicators, such as the ratio of the salary to the price of a fixed set of goods and services and the ratio of the teachers’ salary fund to total regional government expenditures. Research based on cluster data analysis statistical methods allowed the author to distinguish four types of regions. We used official data provided by Russian Federal State Statistics Service and the Russian Federal Treasury. The recommendations developed for each cluster of regions seek to improve the efficiency of the steps aimed at the implementation of the educational policy tasks through differentiating the support measures by the federal government

Midbrain ventral segmental area (VTA) dopaminergic neurons send numerous projections to cortical and sub-cortical areas, and diffusely release dopamine (DA) to their targets. DA neurons display a range of activity modes that vary in frequency and degree of burst ring. Importantly, DA neuronal bursting is associated with a significantly greater degree of DA release than an equivalent tonic activity pattern. Here, we introduce a single compartmental, conductance-based computational model for DA cell activity that captures the behavior of DA neuronal dynamics and examine the multiple factors that underlie DA firing modes: the strength of the SK conductance, the amount of drive, and GABA inhibition. Our results suggest that neurons with low SK conductance are in a fast firing mode, are correlated with burst firing, and require higher levels of applied current before undergoing depolarization block. We go on to consider the role of GABAergic inhibition on an ensemble of dynamical classes of DA neurons and find that strong GABA inhibition suppresses burst firing. Our studies suggest differences in the distribution of the SK conductance and GABA inhibition levels may indicate subclasses of DA neurons within the VTA. We further identify, that by considering alternate potassium dynamics, the dynamics display burst patterns that terminate via depolarization block, akin to those observed in vivo in VTA DA neurons and in substantia nigra pars compacta DA cell preparations under apamin application. In addition, we consider the generation of transient burst ring events that are NMDA-initiated or elicited by a sudden decrease of GABA inhibition, that is, disinhibition.

Humans often adjust their behavior to match the group norms. In this study, we used magnetoencephalographic (MEG) source imaging to investigate the electromagnetic responses to the perceived mismatch between individual and group opinions. After participants were exposed to group opinion that conflicted with their own, we observed an evoked response in the posterior medial prefrontal cortex (pMPFC) occurring around 200 ms, corresponding to the feedback-related negativity (FRN) – a component of the evoked response associated with processing negative feedback and reinforcement learning. This response was accompanied by an increase in  power of theta oscillations (4-8 Hz) over a number of frontal sites (including OFC and pMPFC). The magnitude of both evoked and induced responses to the perceived conflict with social norms was stronger in participants who showed relatively low conformity. Overall, our results suggest that the activation of the pMPFC following conflicts with group opinion, as recoded by MEG, may reflect an enhanced control state – a process complimentary to the reinforcement learning signal in the ventral striatum reported in previous studies of social conformity

Euroregions is an important and quite popular mechanism of cross-border cooperation. Character of institutions development differs essentially between three groups of states, which use this mechanism: old members of the European Union; new members of the European Union (entered the EU after 2003); CIS members. This comparative research is concerned with the main circumstances of euroregions development in three areas noted above. The analyses show the fundamental differences between three Euroregion cases: Oresund, Pskov-Livonia and Dnieper. Those differences are noticeable in legislative basic, financing, cooperation issues, and even in four basic Euroregions principles realizing. Meanwhile we see that after fifteen years of copying the Euroregions in post-soviet countries the positive shifts occur in CIS members’ government perception and in the decision making process.