Modeling and Analysis of the Impact of Big Data on the Development of Education Network

The arrival of the big data era not only provides corresponding technical support for the development of Educational Networking but also promotes the acceleration of Educational Networking. Therefore, this paper puts forward the research on the impact of big data on the development of education network and constructs a Bayesian knowledge tracking model to collect and analyze the behavior data of teachers and learners in network education. The experimental results show that big data technology provides greater development space for Education Networking. Its market scale has reached 502.47 billion yuan in 2021, and there is a trend of continuous growth. At the same time, the increase in the number of users also makes its teaching content richer and teaching methods more diversified and personalized. And, through the analysis of relevant data, learners and teachers can more comprehensively and truly understand their own level, achieve the purpose of accurate assistance to learners and teachers, and help learners and teachers find their own problems and make targeted adjustments. In addition, the campus intelligent management system based on big data technology can achieve the purpose of multipurpose and information management.

Seasonality of cruise ship activityin neighboring regions

The continuous growth of the cruise industry has brought with it a series of threats. Among them is the management of the seasonality of cruise activity in order to address its negative effects. This study examines the monthly cruise passenger movement distribution among a group of harbors located in the northeast sector of the Atlantic Ocean and the Baltic Sea with the aim of determining the existence of seasonality patterns in cruise traffic and their relationship between different regions. A database of cruise passenger movements during the period from 2007 to 2019 among 24 harbors forms the backbone of the empirical analysis. First, the seasonal variation index of each harbor was calculated to determine the seasonality pattern. Second, a cluster analysis was performed to classify harbors into clusters with analogous seasonality patterns. The results reveal that seasonality of cruise activity in a consolidated region is explained by own factors of the region, but also by an induced seasonality imported from neighboring cruise regions.

Research Paper DNA barcode identification of fish products from Guiyang markets in southwest China

Nowadays, the global fish consumption continues to rise along with the continuous growth of the population, which has led to the dilemma of overfishing of fishery resources. Especially high-value fish that are overfished are often replaced by other fish. Therefore, the accurate identification of fish products in the market is a problem worthy of attention. In this study, full-DNA barcoding (FDB) and mini-DNA barcoding (MDB) used to detect the fraud of fish products in Guiyang, Guizhou province in China. The molecular identification results showed that 39 of the 191 samples were not consistent with the labels. The mislabelling of fish products for fresh, frozen, cooked and canned were 11.70%, 20.00%, 34.09% and 50.00%, respectively. The average kimura 2 parameter distances of MDB within species and genera were 0.27% and 5.41%, respectively; while average distances of FDB were 0.17% within species and 6.17% within genera. In this study, commercial fraud is noticeable, most of the high-priced fish were replaced of low-priced fish with a similar feature. Our study indicated that DNA barcoding is a valid tool for the identification of fish products and that it allows an idea of conservation and monitoring efforts, while confirming the MDB as a reliable tool for fish products.

Patterning Configuration of Surface Hydrophilicity by Graphene Nanosheet towards the Inhibition of Ice Nucleation and Growth

Freezing of liquid water occurs in many natural phenomena and affects countless human activities. The freezing process mainly involves ice nucleation and continuous growth, which are determined by the energy and structure fluctuation in supercooled water. Herein, considering the surface hydrophilicity and crystal structure differences between metal and graphene, we proposed a kind of surface configuration design, which was realized by graphene nanosheets being alternately anchored on a metal substrate. Ice nucleation and growth were investigated by molecular dynamics simulations. The surface configuration could induce ice nucleation to occur preferentially on the metal substrate where the surface hydrophilicity was higher than the lateral graphene nanosheet. However, ice nucleation could be delayed to a certain extent under the hindering effect of the interfacial water layer formed by the high surface hydrophilicity of the metal substrate. Furthermore, the graphene nanosheets restricted lateral expansion of the ice nucleus at the clearance, leading to the formation of a curved surface of the ice nucleus as it grew. As a result, ice growth was suppressed effectively due to the Gibbs–Thomson effect, and the growth rate decreased by 71.08% compared to the pure metal surface. Meanwhile, boundary misorientation between ice crystals was an important issue, which also prejudiced the growth of the ice crystal. The present results reveal the microscopic details of ice nucleation and growth inhibition of the special surface configuration and provide guidelines for the rational design of an anti-icing surface.

The Social and Solidarity Economics, Public Policies, and Non-Monetary Economic Practices

The prevailing economic and social model contains great inequalities. Against this backdrop, the Republic of Ecuador, in its constitution of 2008, included recognizing ancestral practices at an economic and social level and granting special protection to “mother earth” or Pachamama based on the common element of solidarity between ecosystems and human beings. Despite this, continuous growth processes have blunted some of the tools and institutions created in Ecuador to redress poverty and rebalance existing economic and regulatory abuses. To analyze this situation, a series of group interviews were carried out in two communities of Loja (Ecuador) to analyze the scope and continuity of current ancestral practices and the effectiveness of processes established in the social economy. The analysis shows the lack of continuity of these practices and their associated benefits for people and communities with limited resources.

Digital Technology Deployment in Multi-National Enterprises

After the longest period of continuous growth in its history, the automotive industry is experiencing a most dramatic downturn. The challenge for automobile companies is not just to cope with the three converging trends of vehicle electrification, autonomous driving, and shared mobility, but also to make the best judgement on how and where to invest in a declining market. Digital is becoming the de facto way of operating along the value chain. Advanced automation, artificial intelligence (AI), and additive manufacturing will reshape traditional processes. This chapter reports upon the implementation of new digital technologies and related critical success factors in two multi-national industries, with major interests in the automotive sector. It takes an empirical approach, analysing use cases, projects, and input from experts. The findings assess the repercussions for IT strategy and changes in business processes impacted by the use of new technologies and illustrate how people skill requirements have evolved, both within the IT organisation and in other company departments.

Development of a model and technology of access to documents in scientific and educational activities

The paper deals with general issues of organizing access to electronic documents in the framework of scientific and educational activities. Large volumes of already existing information, its continuous growth, the heterogeneous nature of storage and distribution, the lack of a unified way of working with it create many difficulties when using it. Awareness of these difficulties, qualitative changes in the field of information technology and telecommunications have led to the need to solve the problem of finding new approaches to the creation of repositories of information resources, their structure, and the development of tools necessary for users. Currently, such approaches are called “digital” or “electronic” libraries. According to the preliminary concept, an intelligent scientific and educational Internet resource will be an information system accessible via the Internet, providing systematization and integration of scientific knowledge, data, and information resources into a single information space, meaningful and effective access to them, as well as support for their use in solving various scientific and educational tasks. Another problem of the organization of effective information support for scientific and educational activities is that, due to its diversity and multidimensional nature, scientific and educational information resources are dispersed on remote pages of many sites and in distributed electronic libraries and archives. To solve this problem, it is necessary to solve the problem of bringing such resources related to one area of knowledge into a single information space, and also, no less important, to support their logical integrity. Without solving these two related tasks, it is impossible to solve the main task – to provide all participants of scientific and educational activities with meaningful access to integrated information resources and means of their analysis. The support of information systems in the field of scientific and educational activities is relevant, since the need for information always exists. In order to satisfy this need, it is necessary to organize access to various resources.

STUDY OF THE PROCESS OF OXIDATIVE DESULFURIZATION OF DIESEL FUEL IN THE PRESENCE OF CO-CATALYSTS

Continuous growth in consumption of oil in the world, as well as ever-increasing quality requirements stimulate the search for new scientific and technological solutions to directionally affect the characteristics of petroleum products, including their chemical composition. The advantages of oxidative desulfurization before hydrotreating are the absence of the need to use hydrogen, as well as small capital and energy costs, since the method does not require high temperatures and pressures. The purpose of this work was to study the oxidation process of diesel fuel and to search for the optimal mode of oxidative desulfurization of diesel fuel in the presence of transition metals salts with the addition of mineral acids. The object of the study is a straight-run diesel fraction of the Pavlodar Petrochemical Plant with boiling temperatures of 180-350°C. The oxidation process was carried out with hydrogen peroxide in the presence of salts of the transition metals molybdenum, vanadium and tungsten. The article defined the basic physico-chemical characteristics of straight-run and desulfurized diesel fractions. The optimal catalyst (Na2MoO4) was selected at a molar ratio of metal to sulfur of 1:100 for the oxidation process of straight-run diesel fractions. As a result of oxidative desulfurization of diesel fuel in the presence of sodium molybdenum perox complexes, the total sulfur content decreased by 42.9%, and with the addition of sulfuric acid by 56.5%. An increase in the cetane index from 56.3 to 58.6 was revealed in the presence of sodium molybdate with the addition of sulfuric acid.

Trends in Morbidity and Hospital Lethality from Neoplasms before and during the New Coronavirus Infection COVID-19

Background. Taking into account the special medical and social significance of oncological diseases, as well as taking into account that patients suffering from neoplasms are a special risk group for developing complications of coronavirus infection, it seems relevant to study the impact of the COVID-19 pandemic on the level of morbidity and hospital lethality of patients with neoplasms. Aims to study the trends of morbidity and hospital lethality due to neoplasms in the Russian Federation before and during the pandemic of the new coronavirus infection COVID-19. Methods. The indicators of primary and general morbidity, hospital lethality from neoplasms of the adult population were calculated on the basis of federal statistical observation data contained in reporting forms No. 12 and No. 14 of all subjects of the Russian Federation for 20152020. Results. During the period from 2015 to 2019, an increase in the general (by 14.8%) and primary (by 4.8%) incidence of neoplasms was noted in the Russian Federation. In 2020, compared with 2019, on the contrary, the indicators of general (by 5.0%) and primary (by 17.4%) incidence of neoplasms decreased. Hospital lethality due to neoplasms also increased during 20152019, in total it increased by 19.2%, in one year (2020) hospital lethality increased by 6.6%. A similar situation has developed in all federal districts and most regions of the country. Conclusions. The decline in the incidence of neoplasms in 2020, with their previous continuous growth, reflects the difficult situation that has developed during the pandemic of a new coronavirus infection in the healthcare of the Russian Federation. The increase in hospital lethality from neoplasms indicates a more severe course of coronavirus infection in adult patients with malignant neoplasms and a more frequent development of fatal complications in them.