Eco-Environmental Civilization Construction System in Remote Areas Based on Multiple Data Collection and the Internet of Things

For a long time, the development strategy of remote areas is basically resource-oriented. Large-scale exploitation of resources not only damages the corresponding balance of resource reserves but also causes serious damage to the ecological environment. To this end, this paper has carried out research on the construction of ecological environment civilization in remote areas based on multidata collection and edge computing. Based on the understanding of the connotation, composition, and characteristics of ecological civilization, this paper selects representative indicators to reflect the specific requirements of ecological civilization, constructs an evaluation index system for the construction of ecological civilization in remote areas, and uses the evaluation indicators analysis and sorting. Second, edge computing and sensor technologies are applied to the process of data collection and information transmission and providing solutions for data collection and transmission in remote areas. This paper also presents the security method to protect the information transmission. Through testing, the program has shown good adaptability and can provide ideas for the construction of ecological environment in remote areas.

Integrative Smart Grids’ Assessment System

The COVID-19 pandemic has significantly affected the energy sector. The new behavior of industrial and non-commercial consumers changes the energy consumption model. In addition, the constraints associated with the coronavirus crisis have led to environmental effects from declining economic activity. The research is based on evidence from around the world showing significant reductions in emissions and improved air quality. This situation requires rethinking the energy development strategy, particularly the construction of smart grids as a leading direction of energy development. Evaluating the efficiency of smart grids is a vital tool for disseminating successful experience in improving their management. This paper proposes an approach to a comprehensive assessment of smart grids based on a comparative analysis of existing methods, taking into account the changes that need to be considered after the experience gained from the COVID-19 pandemic. The approach provides an accurate set of efficiency indicators for assessing smart grids to account for the direct and indirect effects of smart grids’ implementation. This evaluation approach can be helpful to policymakers in developing energy efficiency programs and implementing energy policy.

Electricity Substitution Potential Prediction Based on Tent-CSO-CG-SSA-Improved SVM—A Case Study of China

Nowadays, fossil energy continues to dominate China’s energy usage; its inefficient use and large crude emissions of coal and fuel oil in its end-consumption have brought about great pressure to reduce emissions. Electrical power substitution as a development strategy is an important step toward achieving sustainable development, the transformation of the end-use energy consumption structure, and double carbon goals. To better guide the broad promotion of electrical power substitution, and to offer theoretical support for its development, this paper quantifies the amount of electrical power substitution and the influencing factors that affect the potential of electrical energy substitution. This paper proposes a hybrid model, combining Tent chaos mapping (Tent), chicken swarm optimization (CSO), Cauchy–Gaussian mutation (CG), the sparrow search algorithm (SSA), and a support vector machine (SVM), as a Tent-CSO-CG-SSA-SVM model, which first uses the method of Tent chaos mapping to initialize the sparrow population in order to increase population diversity and improve the search ability of the algorithm. Then, the CSO is introduced to update the positions of sparrows, and the CG method is introduced to make the algorithm jump out of the local optimum, in order to improve the global search ability of the SSA. Finally, the final electrical power substitution potential prediction model is obtained by optimizing the SVM through a multi-algorithm combination approach. To verify the validity of the model, two regions in China were used as case studies for the prediction analysis of electrical energy substitution potential, and the prediction results were compared with multiple models. The results of the study show that Tent-CSO-CG-SSA-SVM offers a good improvement in prediction accuracy, and that Tent-CSO-CG-SSA-SVM is a promising method for the prediction of electrical power substitution potential.

A Development Strategy of Tailor-made Natural Deep Eutectic Solvents for the Enhanced Extraction of Hydroxynaphthoquinones from Alkanna tinctoria Roots

Natural hydroxynaphthoquinone enantiomers (HNQs) are well-described pharmaceutical and cosmeceutical agents especially present in the roots of Alkanna tinctoria (L.) Tausch, a species native to the Mediterranean region. In this work, eco-friendly natural deep eutectic solvents (NaDESs) were developed for the selective extraction of these compounds. An extensive screening was performed using more than sixty tailor-made NaDESs. The impact of the intrinsic physicochemical properties on the HNQs extraction efficiency as well as the specificity towards the different enantiomeric pairs was thoroughly investigated. As a result of a multivariate analysis and of the one factor-a-time solvent optimization, the eutectic mixture composed of levulinic acid and glucose (LeG) using a molar ratio of 5:1 (molHBA:molHBD) and 20% of water (w/w) was found as the most appropriate mixture for the highest extraction efficiency of HNQs. Further optimization of the extraction process was attained by response surface methodology, using a temperature of 45 °C, a solid-to-liquid ratio of 30 mg/mL, and an extraction time of 50 min. A maximum extraction output of 41.72 ± 1.04 mg/g was reached for HNQs, comparable to that of the commonly used organic solvents. A solid-phase extraction step was also proposed for the recovery of HNQs and for NaDESs recycling. Our results revealed NaDESs as a highly customizable class of green solvents with remarkable capabilities for the extraction of HNQs.

Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.

Opportunities and risks of the climate policy in Russia

The climate agenda involves significant economic dimension and component. This is precipitated, on the one hand, by the climate change impact on the economy and its implications for economic development that necessitate costs for planning and implementing adaptation measures, and, on the other hand, by the imperatives of structural and technological modernization of the economy to strengthen its competitiveness and sustainability of socio-economic development including reduction of industrial greenhouse gases (GHG) emissions and increasing the ecosystems’ carbon sink capacity. The above implies harmonization of ecological, climatic, socio-economic, and technological characteristics to produce an effective national low GHG emissions socio-economic development strategy required by the Paris Climate Agreement. This in turn calls for comprehensive assessment of the impact produced by new low-carbon technologies on economic dynamics using the framework of macrostructural calculations and scenarios of economic development of Russia with different volumes of funding invested in decarbonization. It is argued that the most efficient is a group of so-called moderate scenarios that provide for both GHG reduction and economic growth rates above the global average. More ambitious scenarios involve risks of slowing GDP growth given weighty additional investment which constrains the dynamics of household consumption. The key role of the Russian ecosystems capacity to absorb and sequester carbon in implementation of the low GHG emissions socio-economic development strategy is substantiated and the imperative for the complex of measures to improve the efficiency of land use and forestry resources (LULUCF), primarily the quality of R&D and the national monitoring system development, is emphasized.

ORGANISATIONAL APPROACHES TO THE FORMATION OF SOCIAL RESPONSIBILITY OF HIGHER EDUCATION INSTITUTIONS IN THE MARKET OF EDUCATIONAL SERVICES

BACKGROUND AND OBJECTIVES. Social responsibility is a system of innovative working relationships that acts as an essential technology that enhances the effectiveness of a higher education institution with employees, partners, customers and the community, and ultimately contributes to its prosperity and civil society. Social responsibility should focus on enhancing the image of the higher education institution, recognising its successes in society by civil institutions and individual citizens. This will increase the social value of the higher education institution, its competitiveness, sustainability and efficiency, allowing society to use the resource voluntarily provided by the higher education institution to balance organisational and social interests.METHODS. The methods used to conduct the research were: interview, expert. The questions selected for this study were taken either from the literature or from individual interviews. The literature helped to identify important dimensions of the concept of social responsibility. The interviews helped to identify new points and possible dimensions to contextualise organisational approaches to shaping the social responsibility of higher education institutions.FINDINGS. Organizational approaches to the formation of social responsibility of higher education institutions in the market of educational services are proposed. Mechanisms to increase socio-commercial value of socially responsible higher education institutions are argued: creation of public institutions to identify, formulate public interests and present them to corporations; selection of social projects taking into account stakeholder expectations.CONCLUSION. In order to increase the efficiency of using the principles of social responsibility in HEIs, to improve their ratings, students' competitiveness in the labour market and their involvement in the task-setting and decision-making process, it is necessary to develop a programme of corporate social activity, which can become the basis for developing the HEIs' development strategy. The formation and adoption of such a strategy should be based on the interests of all stakeholders, based on the core values of the university to achieve the indicators at micro-, meso- and macrolevels.

ДІДЖИТАЛІЗАЦІЯ ПІДПРИЄМНИЦТВА НА ТРАНСПОРТІ В УМОВАХ ПАНДЕМІЇ COVID-19

The article seeks to explore opportunities for further entrepreneurship development and its intensification in a pandemic setting, in the transport sector in particular, which is associated with the constant search for and implementation of new ideas, technologies, goods, services, manufacturing methods, etc. to retain a business. An emphasis is put that in modern realia as never before, the effective functioning of any company demands for continuous improvement, renewal, reorganization, finding new pathways to manage and run a successful business. It is noted that this approach is based on the latest concept that assumes significant changes in entrepreneurship in the transport industry and will foster further business development. In addition, the study reveals that the application of digital platforms is viewed as the newest tool that has the potential to boost the transport industry growth. However, despite objective reasons, there is still a lack of proper justification for the need to use digital technologies in transport. It is noted that the Industry Development Strategy 4.0 designed by the Ukrainian Association of Industrialists and Entrepreneurs interprets digital transformation as social or technological changes associated with the penetration of digital technology into all areas of human interactions. The essence of these transformations is to find new approaches and management concepts to resolve classic business challenges. The purpose of this article is to verify the feasibility of transport entrepreneurship based on digital platforms. The study provides insights into the benefits and specifics of digitalization in the context of Covid restrictions adjusted the needs of business acceleration. To attain the research objectives, the tools of information and marketing communications were used as well as the outcomes of marketing research to summarize information on the development of courier delivery and taxi services in Ukraine. Based on the analysis of entrepreneurship in the transport industry, the essential characteristics of digital platforms for taxi service have been discussed. It is argued that a customer focus makes the basis of any successful digital strategy. However, according to the study findings, transport companies need a single comprehensive perception of their customers to develop cooperation and offer a personalized approach to them. The summary concludes that digitalization is aimed at retaining the contact between the consumer and the producer to balance twofold interests: on the one hand, to the producer it will result in profit growth, and on the other – the consumer will be able to get the enhanced service quality, thus managing a close relationship between these two market actors, even in the quarantine realia.