Forest ecosystems, their products and services play an important role in achieving ambitious climate change mitigation objectives at the same time requiring profound adaptation to climate change. Forest management schemes to support climate action have to be developed within their regional context but also have to be aligned with national or EU-level climate, forest and sustainability policies. The conference on “Managing forests in the 21st century” is the final conference of the FORMASAM, REFORCE and FOREXCLIM research projects. The conference bringstogether scientific experts on forest management from all over Europe facing very specific management challenges. The aim isto discuss and improve the understanding the role of forests and forest management in the context of climate change. The conference addresses climate change impacts, as well as needs for mitigation and adaptation especially with regard to the following scientific questions: 1. What are the impacts of climate extremes and disturbances? 2. What are the management challenges (and options) for resilient forests? 3. What can we do to increase the contribution of forest management to climate change mitigation?

This is the third book in a series on Medieval Novgorod and its surroundings and deals with a substantial body of animal bones that have been recovered over the last decade. The zooarchaeological evidence is discussed by the editor and a number of English and Russian specialists who dug the site, looking at domestic exploitation of animals, diet, animal husbandry, and butchery practices. Detailed data sets are provided to enable the reader to make comparisons with their own research, but the book is also suitable for those with a more general interest in Medieval Russian archaeology.

Cancer cells require exogenous methionine for survival and therefore methionine restriction is a promising avenue for treatment. The basis for methionine dependence in cancer cells is still not entirely clear. While the lack of the methionine salvage enzyme methylthioadenosine phosphorylase (MTAP) is associated with methionine auxotrophy in cancer cells, there are other causes for tumors to require exogenous methionine. Restricting methionine by diet or by enzyme depletion, alone or in combination with certain chemotherapeutics, is a promising antitumor strategy.

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

Development of novel approaches for regulating the expression of angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2) is becoming increasingly important within the context of the ongoing COVID-19 pandemic since these enzymes play a crucial role in cell infection. In this work we searched for putative ACE2 and TMPRSS2 expression regulation networks mediated by various miRNA isoforms (isomiR) across different human organs using publicly available paired miRNA/mRNA-sequencing data from The Cancer Genome Atlas (TCGA) project. As a result, we identified several miRNA families targeting ACE2 and TMPRSS2 genes in multiple tissues. In particular, we found that lysine-specific demethylase 5B (JARID1B), encoded by the KDM5B gene, can indirectly affect ACE2 / TMPRSS2 expression by repressing transcription of hsa-let-7e / hsa-mir-125a and hsa-mir-141 / hsa-miR-200 miRNA families which are targeting these genes.

A major challenge in the design of electrochemical biodevices is to achieve fast rates of electron exchange between proteins and electrodes. In this work, we show that a significant increase in the direct electron transfer rate between a graphite electrode and Tobacco Peroxidase takes place when a surface exposed leucine, located in the vicinity of the heme pocket, is replaced by tryptophan. The analysis of the Fe(III)/Fe(II) voltammetric responses of native and mutated proteins, as a function of solution pH and temperature, leads to similar values of the reduction entropy and reorganization energy, but to a higher electronic coupling in the case of the mutant. In addition, the mutated and native proteins are shown to display similar electrocatalytic activities to reduce hydrogen peroxide at positive potentials, indicating that the molecular structure of the heme pocket is largely unaffected by the mutation.

Detection of positive selection signatures in populations around the world is helping to uncover recent human evolutionary history as well as the genetic basis of diseases. Most human evolutionary genomic studies have been performed in European, African and Asian populations. However, populations with Native American ancestry have been largely underrepresented. Here, we used a genome-wide local ancestry enrichment approach complemented with neutral simulations to identify post-admixture adaptations underwent by admixed Chileans through gene flow from Europeans into local Native Americans. The top significant hits (P = 2.4 x 10−7) are variants in a region on chromosome 12 comprising multiple regulatory elements. This region includes rs12821256, which regulates the expression of KITLG, a well-known gene involved in lighter hair and skin pigmentation in Europeans. Another variant from that region is associated with the long noncoding RNA RP11-13A1.1, which has been specifically involved in the innate immune response against infectious pathogens (Riege, et al. 2017). Our results suggest that these genes were relevant for adaption in Chileans following the Columbian exchange.

Peptide-spectrum-match (PSM) scores used in database searching are calibrated to spectrum- or spectrum-peptide-specific null distributions. Some calibration methods rely on specific assumptions and use analytical models (e.g., binomial distributions), whereas other methods utilize exact empirical null distributions. The former may be inaccurate because of unjustified assumptions, while the latter are accurate, albeit computationally exhaustive. Here, we introduce a novel, nonparametric, heuristic PSM score calibration method, called Tailor, which calibrates PSM scores by dividing them with the top 100-quantile of the empirical, spectrum-specific null distributions (i.e., the score with an associated p-value of 0.01 at the tail, hence the name) observed during database searching. Tailor does not require any optimization steps or long calculations; it does not rely on any assumptions on the form of the score distribution (i.e., if it is, e.g., binomial); however, it relies on our empirical observation that the mean and the variance of the null distributions are correlated. In our benchmark, we re-calibrated the match scores of XCorr from Crux, HyperScore scores from X!Tandem, and the p-values from OMSSA with the Tailor method and obtained more spectrum annotations than with raw scores at any false discovery rate level. Moreover, Tailor provided slightly more annotations than E-values of X!Tandem and OMSSA and approached the performance of the computationally exhaustive exact p-value method for XCorr on spectrum data sets containing low-resolution fragmentation information (MS2) around 20-150 times faster. On high-resolution MS2 data sets, the Tailor method with XCorr achieved state-of-the-art performance and produced more annotations than the well-calibrated residue-evidence (Res-ev) score around 50-80 times faster.

In the last 50 years, the biosphere, upon which humanity depends, has been altered to an unparalleled degree. The current economic model relying on fossil resources and addicted to “growth at all costs” is putting at risk not only life on our planet, but also the world’s economy. The need to react to the unprecedented COVID-19 crisis is a unique opportunity to transition towards a sustainable wellbeing economy centered around people and nature. After all, deforestation, biodiversity loss and landscape fragmentation have been identified as key processes enabling direct transmission of zoonotic infectious diseases. Likewise, a changing climate has profound implications for human health. Putting forward a new economic model requires transformative policies, purposeful innovation, access to finance, risk-taking capacity as well as new and sustainable business models and markets. But above all we need to address the past failure of our economy to value nature, because our health and wellbeing fundamentally depends on it. A circular bioeconomy offers a conceptual framework for using renewable natural capital to holistically transform and manage our land, food, health and industrial systems with the goal of achieving sustainable wellbeing in harmony with nature. Within the framework of the Sustainable Markets Initiative, under the leadership of His Royal Highness The Prince of Wales, a 10-Point Action Plan to create a circular bioeconomy is proposed below. The Action Plan is a response to The Prince of Wales’ call to invest in nature as the true engine for our economy. The Action Plan, guided by new scientific insights and breakthrough technologies, is articulated around six transformative action points further discussed below and four enabling action points, which mutually reinforce each other.

The interaction of tumor cells with the extracellular matrix (ECM) may affect the rate of cancer progression and metastasis. One of the major components of ECM are laminins, the heterotrimeric glycoproteins consisting of α-, β-, and γ-chains (αβγ). Laminins interact with their cell surface receptors and, thus, regulate multiple cellular processes. In this work, we demonstrate that shRNA-mediated knockdown of the α5 laminin chain results in Wnt- and mTORC1-dependent partial dedifferentiation of colorectal cancer cells. Furthermore, we showed that this dedifferentiation involved activation of ER-stress signaling, pathway promoting the sensitivity of cells to 5-fluorouracil.

Background

In patients with psychotic disorders, sleep spindles are reduced, supporting the hypothesis that the thalamus and glutamate receptors play a crucial etio-pathophysiological role, whose underlying mechanisms remain unknown. We hypothesized that a reduced function of NMDA receptors is involved in the spindle deficit observed in schizophrenia.

Methods

An electrophysiological multisite cell-to-network exploration was used to investigate, in pentobarbital-sedated rats, the effects of a single psychotomimetic dose of the NMDA glutamate receptor antagonist ketamine in the sensorimotor and associative/cognitive thalamocortical (TC) systems.

Results

Under the control condition, spontaneously-occurring spindles (intra-frequency: 10–16 waves/s) and delta-frequency (1–4 Hz) oscillations were recorded in the frontoparietal cortical EEG, in thalamic extracellular recordings, in dual juxtacellularly recorded GABAergic thalamic reticular nucleus (TRN) and glutamatergic TC neurons, and in intracellularly recorded TC neurons. The TRN cells rhythmically exhibited robust high-frequency bursts of action potentials (7 to 15 APs at 200–700 Hz). A single administration of low-dose ketamine fleetingly reduced TC spindles and delta oscillations, amplified ongoing gamma-(30–80 Hz) and higher-frequency oscillations, and switched the firing pattern of both TC and TRN neurons from a burst mode to a single AP mode. Furthermore, ketamine strengthened the gamma-frequency band TRN-TC connectivity. The antipsychotic clozapine consistently prevented the ketamine effects on spindles, delta- and gamma−/higher-frequency TC oscillations.

Conclusion

The present findings support the hypothesis that NMDA receptor hypofunction is involved in the reduction in sleep spindles and delta oscillations. The ketamine-induced swift conversion of ongoing TC-TRN activities may have involved at least both the ascending reticular activating system and the corticothalamic pathway.

Paired-pulse transcranial magnetic stimulation (TMS) allows investigating inhibitory and excitatory interactions in the human motor cortex noninvasively. Short-interval intracortical inhibition (SICI) and facilitation (SICF) are used to measure cortico–cortical excitability in patients with, e.g., stroke, dystonia, and Parkinson’s disease. However, the role of the induced electric field (E-field) orientation remains partly unclear. Posterior–anterior (PA)-oriented E-field elicits motor evoked potentials (MEPs) with the lowest stimulus intensities due to the recruitment of corticospinal neurons, indirectly via excitatory synaptic inputs to corticospinal axons (indirect (I-) waves). Stimulation in the lateral–medial (LM) orientation directly activates corticospinal axons, which leads to the generation of both direct (D-) and I-waves. Conditioning stimulus (CS) with an intensity between 50% and 90% of resting motor threshold (RMT) induces activation of GABAA inhibitory mechanisms observed as the SICI (inhibitory) effect on MEP amplitude. In contrast, if the CS intensity is above RMT, the SICF (excitatory) phenomenon can be present due to the superposition of D- and I-waves. Our aim was to investigate the dependence of inhibitory and facilitatory mechanisms on the orientation of the induced E-field of CS and TS. We developed a multi-locus TMS (mTMS) transducer, which allowed us to control the E-field orientation independently for CS and TS at a millisecond inter-pair interval (IPI). Eight healthy subjects (five males; mean age 29, range 21–35 years) participated in the study. mTMS was applied to the hotspot of the abductor pollicis brevis (APB) muscle in the left primary motor cortex. The stimulus intensities were based on the individual RMT of APB for PA and LM orientations. TS and single pulses were administered at 110% RMT. Twenty single pulses were applied for each TS orientation and for each of the 32 paired-pulse conditions. CS and TS stimuli were applied in every combination of the PA and LM orientations with four CS intensities (50, 70, 90, and 110% RMT) and two IPIs (1.5 and 2.7 ms) in a random order. Interaction between CS orientation, IPI, and CS intensity significantly affected TS MEP amplitudes. We observed no statistically significant difference between the responses induced by PA- and LM-oriented TS. CS at 70% RMT for SICI and at 110% RMT for SICF induced similar effects regardless of the TS orientation. We established that LM-oriented CS at 90% RMT produced a greater inhibition than stimuli at the same intensity in the PA orientation. Our results emphasize the minimal influence of the CS E-field dorientation on the test pulse. Additionally, we demonstrate the pivotal role of the stimulus intensity for any CS orientation. SICI and SICF evoked using perpendicular CS and TS directions indicate that we stimulated overlapping neuronal populations with both pulses.

The ongoing pandemic of SARS-CoV-2 presents novel challenges and opportunities for the use of phylogenetics to understand and control its spread. Here, we analyze the emergence of SARS-CoV-2 in Russia in March and April 2020. Combining phylogeographic analysis with travel history data, we estimate that the sampled viral diversity has originated from 67 closely timed introductions into Russia, mostly in late February to early March. All but one of these introductions came from non-Chinese sources, suggesting that border closure with China has helped delay establishment of SARS-CoV-2 in Russia. These introductions resulted in at least 9 distinct Russian lineages corresponding to domestic transmission. A notable transmission cluster corresponded to a nosocomial outbreak at the Vreden hospital in Saint Petersburg; phylodynamic analysis of this cluster reveals multiple (2-4) introductions each giving rise to a large number of cases, with a high initial effective reproduction number of 3.7 (2.5-5.0).

The general goal of this paper is to gather and review several methods from homotopy and combinatorial topology and formal concepts analysis (FCA) and analyze their connections. FCA appears naturally in the problem of combinatorial simplification of simplicial complexes and allows to see a certain duality on a class of simplicial complexes. This duality generalizes Poincare duality on cell subdivisions of manifolds. On the other hand, with the notion of a topological formal context, we review the classical proofs of two basic theorems of homotopy topology: Alexandrov Nerve theorem and Quillen--McCord theorem, which are both important in the applications. A brief overview of the applications of the Nerve theorem in brain studies is given. The focus is made on the task of the external stimuli space reconstruction from the activity of place cells. We propose to use the combination of FCA and topology in the analysis of neural codes. The lattice of formal concepts of a neural code is homotopy equivalent to the nerve complex, but, moreover, it allows to analyse certain implication relations between collections of neural cells.

The most common tools to understand perception of food products are hall-tests, surveys, observations, etc. However to get reliable results these approaches require large samples, making them costly and time-consuming. Furthermore, they are also highly expert-dependent and rely on the assumption that study participants can express their preferences consciously and explicitly. Here we suggested an EEG-based approach to evaluate perceived product similarity in a cross-modal taste-visual task. Two candidate neurometrics measured from Fz electrode were tested: the amplitude of N430-620 from evoked response potentials (ERP) and the power of induced gamma oscillations during 400-600 ms period after visual stimulus presentation. Both suggested metrics showed a strong correlation with the perceived similarity scores at both individual and group levels, however N430-630 had greater inter-subject variability making it less suitable for practical applications. The results based on the power of induced gamma oscillations (N=18) not only reflected the results from traditional hall-tests (N=200) but also allowed better discrimination between different food products.

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.

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.