Construction

This book presents the main findings of a study on school learning environments and student outcomes, which the World Bank conducted in 2019 in three regions of the Russian Federation. Using data collected through the OECD School User Survey and the pilot “Trends in Mathematics and Science Study” (TIMSS), the book analyzes how a school’s infrastructure and learning environment may affect the progress and success of students in math and science. It also delves into teaching practices, analyzing their impact on learning and highlighting the important nexus between learning environments and teaching methods. The book concludes by recommending areas in which focused attention by educational authorities could improve educational policy and help maintain high-quality learning environments. The book will be useful for educators, school principals, architects, and policy makers who are involved in school infrastructure projects and are interested in increasing their knowledge of school design planning.

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 materials of The International Scientific – Practical Conference is presented below. The Conference reflects the modern state of innovation in education, science, industry and social-economic sphere, from the standpoint of introducing new information technologies.
It is interesting for a wide range of researchers, teachers, graduate students and professionals in the field of innovation and information technologies.

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.

This volume discusses post-socialist urban transport functioning and development in Russia, within the context of the country’s recent transition towards a market economy. Over the past twenty-five years, urban transport in Russia has undergone serious transformations, prompted by the transitioning economy. Yet, the lack of readily available statistical data has led to a gap in the inclusion of Russia in the body of international transport economics research. By including ten chapters of original, cutting-edge research by Russian transport scholars, this book will close that gap. Discussing topics such as the relationship between urban spatial structure and travel behavior in post-soviet cities, road safety, trends and reforms in urban public transport development, transport planning and modelling, and the role of institutions in post-soviet transportation management, this book provides a comprehensive survey of the current state of transportation in Russia. The book concludes with a forecast for future travel development in Russia and makes recommendations for future policy. This book will be of interest to researchers in transportation economics and policy as well as policy makers and those working in the field of urban and transport planning.

The materials of The Third International Scientific-Practical Conference is presented below. The Conference reflects the modern state of innovation in education, science, industry and social-economic sphere, from the standpoint of introducing new information technologies.
Digest of Conference materials is presented in 3 parts. It is interesting for a wide range of researchers, teachers, graduate students and professionals in the field of innovation and information technologies.

The materials of The Third International Scientific-Practical Conference is presented below. The Conference reflects the modern state of innovation in education, science, industry and social-economic sphere, from the standpoint of introducing new information technologies.
Digest of Conference materials is presented in 3 parts. It is interesting for a wide range of researchers, teachers, graduate students and professionals in the field of innovation and information technologies.

The materials of The Third International Scientific-Practical Conference is presented below. The Conference reflects the modern state of innovation in education, science, industry and social-economic sphere, from the standpoint of introducing new information technologies.
Digest of Conference materials is presented in 3 parts. It is interesting for a wide range of researchers, teachers, graduate students and professionals in the field of innovation and information technologies.

This Study was prepared by the United States Agency for International Development (USAID), the Russian Energy Agency (REA), and the United States Energy Association (USEA) under the framework of the U.S./Russia Bilateral Presidential Commission Energy Efficiency Working Group’s Russian/American Smart Grid Partnership Initiative. This study was designed to provide the Russian and American stakeholders with on overarching 360 degree perspective on the major impediments to Smart Grid deployment in the U.S. and Russia. The study doesn’t include recommendation; it only assesses the current barriers that prevent smart grid technology deployment in the United States and Russia. It is organized into two parallel sections, one focusing on the impediments to smart grid technology deployment in the United States and the other on the impediments to its deployment in Russia. A common analytical framework for the study was jointly developed by the U.S. and Russian counterparts to ensure that the studies were parallel in their analyses and the impediments are divided into the following high level main Smart Grid related themes: Smart Grid Concept Markets Efficiency Cross-Subsidy Generation Consumer Participation Behavioral Norms Data & Analytics Smart Grid Investment Environment Education Grid Modernization A parallel series of in-person interviews were conducted in the U.S. and Russia with relevant smart grid stakeholders including government agencies, regulatory officials, infrastructure companies, electric utilities, industry associations, market operators, and research institutions. The interviews ranged 2-3 hours in length. The subjects were informed in advance that their opinions were not for attribution, leading to a candid exchange of opinion. A customized questionnaire jointly developed by the Russian and American expert consulting teams was utilized during each stakeholder interview.
The Paris Agreement invited Parties to develop low-emission development strategies. This study presents national low-emission scenarios to inform such strategies for Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the USA. We use country-level technology-rich energy-economy and integrated assessment models that include detailed representations of the energy, transport and land systems and provide insights on emissions, energy system and economic implications of low-emission pathways until 2050. We show that the low-emission pathways of most economies studied here are consistent with pathways limiting global temperature increase to well-below 2 °C, while emission reductions are achieved through uptake of renewable energy, energy efficiency improvements and electrification of energy services. The role of mitigation options like nuclear, carbon capture and storage (CCS) and advanced biofuels is differentiates across countries, depending on national priorities, specificities and resource endowments. The energy system transformation requires a pronounced reallocation of investments towards low-carbon technologies, but without raising significant affordability issues in most countries. National pathways improve the consistency between country policy plans with global temperature goals and capture structural heterogeneities and broad socio-economic considerations.
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.
Russia is one of the largest carbon emitters in the world, possessing huge resources of both fossil fuels and zero-carbon energy sources. The Paris Agreement targets require substantial efforts to limit global warming to “well below 2 °C”. Energy-economic modeling provides sound conclusions that continuation of existing energy and climate policy will lead to stabilization of energy carbon emissions in Russia at the current level in 2010–2050 (about 30% below 1990). Stronger mitigation policies could gradually reduce domestic energy CO2 emissions by 61% from 2010 to 2050 (75% below 1990). Deep decarbonization policies with even more ambitious commitments could ensure an 83% reduction in energy CO2 emissions from 2010 levels (88% below 1990) by 2050. All key sectors (energy, industries, transport, and buildings) can play a substantial role in decarbonizing the national economy. However Russia’s historical reliance on domestic consumption and exports of fossil fuels creates strong barriers to decarbonization. Emission reduction costs are expected to be below 29 USD/tCO2 by 2030, 55 USD/ tCO2 by 2040, and 82 USD/tCO2 by 2050 in the most ambitious decarbonization scenario. The results of this study provide insights into how Russia can enhance its ambitions to implement the Paris Agreement and contribute to global efforts toward building a climate-neutral economy by 2050.
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.
A combined method for synthesizing a highly dispersed (0.8–2.5 μm) hydrophobic Na2O– Bi2O3–SiO2 powder (NBS powder) based on solutions of sodium methyl siliconate and bismuth nitrate is studied. The powder is synthesized at a reduced temperature (100°C). The microstructure and the phase composition of the resulting compounds in the Na2O–Bi2O3–SiO2 system at different processing temperatures are investigated. The structural phase transformations in the mineral phases of NBS powder are revealed in the temperature range of 100–500°C. The metastable bismuth silicate Bi2SiO5 at 400°C is transformed into stable sillenite with composition Bi12SiO20 having a cubic crystal structure (a = 10.1050 Å). The synthesized NBS powder can be used as a filler to fabricate highly effective constructional radiation-shielding polymer composites with tailored properties.
Diversification of energy sources in the road transport sector is becoming a global trend with the emergence of economically and technologically viable alternative fuels, such as electricity, biofuels, compressed natural gas, and others. With the transport sector generating over 50% of global oil demand, this trend obviously holds great significance. The Russian Federation, while being one of the world's major oil producers as well as energy consumers, is falling behind on this trend. However, the prospects for change are quite tangible. The article presents a long term outlook for changes in the Russian road transportation sector's fuel mix. The calculations demonstrate that switching to natural gas and electricity will reduce the share of petroleum products from 95% in 2015 to 74–86% by 2040. Nevertheless, the extent of support by the Russian Government for the infrastructural development will be the key factor to determine the end result. The incentives for natural gas and electric vehicles will also play a large role. The issue of fuel mix diversification will have to be resolved against the background of a 75% increase in the sector's energy consumption, expected in the next 20 yr. Petrol will remain a key fuel for transportation but its share will decrease from 59 to 40-47%, while the share of diesel will remain at 34-39%.
Recent research has revealed that more than 1.3 billion tons of food is wasted globally every year. The disposal of such huge biomass has become a challenge. In the present paper, we report the production of the bio-oil by hydrothermal liquefaction of three classes of food waste: meat, cheese and fruits. The highest yield of the bio-oil was observed for meat (∼60%) and cheese (∼75%), while for fruits, it was considerably low (∼10%). The molecular composition of the obtained bio-oil was investigated using ultrahigh resolution Fourier Transform Ion Cyclotron Resonance mass spectrometry and was found to be similar to that obtained from algae. Several thousand heteroatom compounds (N, N2, ON2, etc. classes) were reliably identified from each sample. It was found that bio-oils produced from meat and cheese have many compounds (∼90%) with common molecular formulas, while bio-oil produced from fruits differs considerably (∼30% of compounds are unique).
Abstract:
Purpose
This article aims to identify effects of client orientation on business models of central power generation companies.
Design/methodology/approach
Five major Russian wholesale electricity market players were selected for the analysis conducted applying A. Osterwalder and Y. Pigneur’s ‘Business Model Canvas’. To identify the changes induced by client orientation, the progress of companies’ business models was traced over 6 years; from 2009 to 2015.
Findings
Five major trends in business model changes due to client orientation were identified:
1. Declaration of client orientation and adoption of client service standards;
2. Advent of business diversification in favor of engineering, construction, service, operation and maintenance of generating facilities;
3. Increase in vertical integration;
4. Increase in diversity of communication channels with consumers;
5. Increase in diversity of customer relationships.
The results were compared with those obtained in international studies. Conclusions about international and local character of the trends are presented.
Originality/value
The study contributes to knowledge of current and upcoming changes in the business of central power generation triggered by the advent of electricity prosumers. It is valuable both for management decision makers and theorists.
The objective of this work is to develop a predictive model for multiphase wellbore flows using the machine learning approach. The artificial neural network is developed and then trained on the dataset generated using the numerical simulator of the full-scale transient wellbore flows. After the training is completed, the neural network is used to predict one of the key parameters of the wellbore flow, namely, the bottomhole pressure. The novelty of this work is related to the application of the neural network to analyze highly transient processes taking place in wellbores. In such processes, most of the parameters of interest can be represented by interdependent time series of variables linked through complex physical phenomena pertinent to the nature of multiphase flows. The proposed neural network with two hidden layers demonstrated the capability to predict the bottomhole pressure within 5% of the normalized root mean squared error for many complex wellbore configurations and flows. It is also shown that relatively higher prediction errors are mainly observed in the case of slug flows where the transient nature of flows is pronounced the most. Finally, the developed model is tested on data affected by noise. It is demonstrated that although the error of prediction slightly increases in contrast to the data without noise, the model captures essential features of the studied transient process. Description of the developed models, analysis of various test use cases, and possible future research directions are outlined.