bluuebunny/crossref_metadata_2025 huggingface dataset:
Canonical Correlation Analysis of Leisure Behavior and Satisfaction of Hearing Impaired College Students in Leisure Industry
Authors: Ye Yang, Ju Fen Yu Xin Wei,
Published: August 2021

With the transformation of various industries, a series of changes have taken place in the leisure industry. The college students with hearing impairment are a special group, and the quality of leisure life plays a decisive part of their physical and psychological development .In order to understand the relationship between leisure behavior and leisure satisfaction of hearing-impaired college students, 77 hearing-impaired college students from Leshan normal university were sampled by cluster to conduct a questionnaire survey. The results showed that the leisure behavior and leisure satisfaction of the hearing-impaired students were at medium level. Except for the correlation between recreation and health satisfaction, which is not remarkable, there is a significantly positive correlation between each dimension of leisure behavior and leisure satisfaction. The canonical correlation analysis showed that the influence of leisure behavior on leisure satisfaction was greater than that of leisure satisfaction on leisure behavior. Community organization and recreation in leisure behavior had positive effects on cognitive satisfaction.
Research on Mechanism Materials of Innovation Performance of Makerspaces
Authors: Lu Shi, Tianhong Jiang Jiancun Zheng,
Published: August 2021

The researches of existing makerspaces mainly focus on external factors (policies, resources, etc.) or internal subjects (operating subjects, makers, etc.), but pay little attention to the sustainability and self-running ability of makerspaces themself. In view of this, through theoretical research, this paper combs four operational mechanisms of makerspaces, including platform service, resource aggregation, network connection and endogenous cultural guarantee, and thesemechanisms are regarded as the key materials for the innovation output of makerspaces.By empirical analysis to verify the impact of each operational mechanism on the innovation performance, we explore feasible designs of mechanism that is conducive to the sustainable innovation of makerspaces. The result shows that autonomy of service selection, formal network connection and fault-tolerant culture have significant positive effects on the innovation performance of makerspaces, but it will change with the development stage of makerspaces.
Research on the Relationship of E-Commerce Livestreaming and Sales Performance of Manufacturers —An Empirical Study of Tmall Transaction Information System
Authors: Xiao Hu Zhenghua Deng,
Published: August 2021

With the rapid development of industry, the e-commerce livestreaming, which is becoming popular in recent years, poses many interesting challenges and opportunities for manufacturers. To explore the influence mechanism of e-commerce livestreaming on sales performance, this paper studied the impact of e-commerce livestreaming from both sales volume and consumer satisfaction, and studied the combined effect of e-commerce livestreaming and third-party recommendation on sales performance. The results show that e-commerce livestreaming has significantly boosted the sales of goods. Consumers with low purchasing power are more susceptible to e-commerce livestreaming than those with high purchasing power. Further tests show that third-party recommendations had the positive action on the influence relationship between e-commerce livestreaming and the purchases of consumers with low purchasing power, as well as on e-commerce livestreaming and the satisfaction of consumers with high purchasing power.The conclusion provides theoretical basis for enterprises to use big data of transaction information system to improve marketing efficiency.
Analysis on the Professional Ability Training of Normal University Students in New Industrial Age
Authors: Biqiong Zhou Lanyan Qin,
Published: August 2021

The professional training of normal university students has always been highly concerned by the society especially in the new industrial age. The professional-oriented training of normal university students is closely related to the future teacher occupation and teaching quality. It also affects the construction of high-quality teachers in the future. Faced with the problems encountered in the professional training of normal university students in recent years, this article put forward feasible training methods based on the actual situation to improve to cultivate qualified professional teachers.
An Analysis of China’s International Competitiveness in Competitive Sports Industry by Means of Mathematical Modeling
Authors: Siyuan Chen, Yuxia Zhu Huaming Huang,
Published: August 2021

China has joined the world’s front rank of competitive sports, with remarkable performance in the Summer Olympic Games in particular. But there is no denying that other events and non-Olympic events have been neglected when emphasis has been put on the Olympic Gold Medal Winning Program. This paper makes a statistical analysis of China’s international competitiveness in competitive sports industry by means of mathematical statistics, so as to analyze the deficiencies in China’s development in competitive sports industry on the basis of statistical results. This study suggests that although China’s international competitiveness in competitive sports is improving rapidly, the gap with the USA remains wide; secondly, China’s development in competitive sports is seriously uneven, which is mainly reflected in the development of summer and winter sports; but in the current situation, there are very favorable opportunities for China’s development in competitive sports, namely, opportunities in the policy environment, opportunities in the climate for hosting events and opportunities in the transition of household consumption.
Study on Manufacture of Production Line and Characteristics of Rice Straw Seedling Trays
Authors: Et al. Yifei Li,
Published: August 2021

As the late processing of rice straw may consume the cost and pollute the environment, this paper put forward a method to use the rice straw, namely, the rice straw is used as the raw material for making seedling trays. The process of seedling tray production was designed, and the method of obtaining raw materials and steps of seedling tray production were introduced. In addition, the overall structure, transmission system and the forming mold of the pneumatic molding machine were also designed and produced. Next, the seedling trays were made by using the production line to analyze the characteristics of the rice straw seedling strays. The study was intended to explore the rules about the influence of moisture content on the characteristics of the seedling strays. As the moisture content of the seedling trays increased, the seedling trays expanded, increasing the volume, density and mass. However, the ultimate tension and shear force borne by the seedling stray decreased along with the increase of moisture content. It could be known from the analysis that: rice straw seedling trays could satisfy the needs of rice nursery. Compared with the traditional plastic seedling tray, the rice straw seedling tray can simplify the production process and provide natural nutrients for rice seedlings.
Prevention and Counter Measures of Bribery in Athletic Sports Industry
Authors: Yijun Bai Zhen Bai,
Published: August 2021

Through the method of literature and online inquiry, this paper studies the connotation, harm and classification of bribery in competitive sports industry and puts forward countermeasures such as enhancing the sensitivity of judicial enforcement and strengthening the management of sports competitions, which provides the basis for the decision-making of competent departments.
Legalization of Central Bank Digital Currency under Blockchain Industry
Authors: Chengyong Liu Yuting Hsu,
Published: August 2021

In recent years, private digital currency based on blockchainindustry has caused many doubts, such as privacy infringement, money laundering tools, consumer protection and financial stability. However, as digital currency has gradually become the important issue, the central banks of various countries have already started to study the central bank digital currency (CBDC). In this paper, firstly, the concept of private digital currency and its derivative issues are explained. Secondly, based on the two chains scheme of the blockchain, a CBDC system is established to facilitate supervision, which stores and accesses transaction information and verification information separately to balance the user privacy security and the convenience of supervision. Meanwhile, the consortium blockchain is settled to the public chain to protect the reliability of the data. Moreover, although some countries have started to develop CBDC, laws and regulations which regulate various aspects of it are still deficient. Therefore, in this paper, in addition to proposing a general outline of the legal system regulating the CBDC, it also illustrates separately the monetary rights and obligations of the central bank, merchant banks and the public, which will be helpful for the future legal construction.
Optimal Production Decisions of Green Supply Chain Under Random Demand in Production Manufacturing
Authors: Et al. Yi Wang,
Published: August 2021

To investigate supply chain’s performance in production manufacturing industry, we establish a green one under random demand containing two members.In the channel, production quantity, wholesale price, and green-level are decided by the manufacturer. Retail price is decidedby theretailer. It showshow the parameters, such as the market potential, consumers' preference for green products, production cost and the green investment parameter, influence the performance of the production, pricing decision, whole channel's profit. We find that: (1) When the two members work as a team, green-level will increase, and this will also promote sustainable development of green production;(2) In the face of random demand, improvements in the manufacturer's green production technology, increased promotion of green products by the retailer, and enhanced green preferences of consumers are all conductive to improve channel's total profit.
Cure Kinetics and Properties of Blends of Epoxy Resins with Polyethersulfone
Authors: Et al. Tiantian Feng,
Published: August 2021

In this article,polyethersulfone and flourene-coating epoxy resin were utilized tomodify both the toughness and the mechanical properties of traditional epoxy resins. The cure kineticsand the thermal stabilityof the resultedblends were tested by differential scanning calorimetry technology and thermogravimetric analysis, respectively. Additionally, the mechanical properties of resulted thermosets were discussed after tested by Dynamic Thermomechanical Analyzer.When compared to the traditional epoxides, the obtained blends exhibit much better heat resistance, thermal stability and mechanical properties.
The Effect of Anti-Fatigue of mGluR4, GABA-ARα1 and GABA-BR1 on the Substantia Nigra Pars Reticular During Exercise
Authors: Xiaoli Liu, Decai Qiao Meihua Su,
Published: August 2021

Objective: The substantia nigra pars reticular (SNR) is the vital nuclei sending out information from basal ganglia and it plays an important part in motor behavior maintenance and motor regulation. It aims to observe the changes of mGluR4，GABA-ARα1 and GABA-BR1 in substantia nigra pars reticular of rats induced by one single bout of exhaustive exercise, and to discuss the relationship among the expression of mGluR4，GABA-ARα1, GABA-BR1 and exercise fatigue. Methods: Thirty-six male wistar rats were divided into three groups at random including CG, 0EG and 90EG,which having 12 rats. Meanwhile, peripheral blood samples were drawn from the vein of tail at different time points (pre- exercise, exercise for 30 min, exercise for 90 min and exhaustion immediately during exercise, and 30 min and 90 min post exercise) ，and blood concentrations of lactic acid (LD) ，blood urea nitrogen (BUN) and activities of creatine kinase (CK) were detected by automatic analyser. Furthermore, the technique of Immunohistochemistry has been used to indicate the protein expression of metabotropic glutamate receptors like mGluR4 and gamma-aminobutyric acid a receptor like GABAAR1, also gamma-aminobutyric acid B receptor like GABAB1. Results: The expression level of mGluR4 in SNR in immediately post-exercise group (0EG) and 90 min post-exercise group (90EG) increase significantly than control group (CG), and the expression level of GABA-ARα1 in SNR at 0EG and 90EG were also significantly higher than control group, and GABA-BR1 in SNR in 0EG and 90EG were both significantly lower than CG. Moreover, it presented significant increases in the levels of LD, BUN and CK in peripheral blood compared with those at rest. Conclusion: Exercise fatigue could result in up-regulation of mGluR4 expression，GABA-ARα1 and down-regulation of GABA-BR1 expression in substantia nigra pars reticular of rats, and it also induce the muscle injury by increase the level of LD, CK and BUN in peripheral blood, which suggested that substantia nigra pars reticular was an important brain rigion to modulate the motor function, and mGluR4，GABA-ARα1 and GABA-BR1 were three important receptors related with the muscle injury induced by exercise fatigue. So the mGluR4, GABA-ARα1 and GABA-BR1 could be the new novel substance produced to prevent from exercise fatigue.
Two-Sided Platform Ecosystems’ Structure, Architecture and Mechanism: an Integrated View--Under the Background of Industry 4.0
Authors: Bader Tariq Eid Hakam, Agbanyo George Kwame Zheng Sheng Hua,
Published: August 2021

Platform model is one of the most prominent phenomena in modern business with the development of the Internet and the continuous expansion of the scale of industry 4.0 related industries. Two-sided platforms show features whereby two groups of agents interact with each other, in order to promote resource exchange and value creation. This review presents an integrated framework for understanding key factors of platform ecosystems, analyzing its member structure and technology architecture, exploring the dynamic mechanism and competition mechanism. Platform ecosystems refer to the core platform and its cooperative network of stakeholders, mainly consist of providers, sponsors, complementors and end users. The dynamic mechanism and competition mechanism are mainly in the realization of network effects and “winner-take-all”. These bring some management challenges, the preventive strategies are embodied in platform pricing, positioning, binding, in realization of ecosystem expansion and multi-win situation, to face the “egg-and chicken” syndrome and “get both sides of the market onboard”. Using this foundation, this research finally proposes five directions for future research in these settings, including the influence of platform technology architecture on complement or innovation, profit model of platform companies, environmental factors in platform competition, new challenge of platform envelopment and dynamic research methods, hoping to offer substantial new insights in the context of platforms and ecosystems.
Malicious URL Detection Algorithm Based on Multi Neural Network Series
Authors: Xiu Weirong
Published: August 2021

Convolutional neural network based on attention mechanism and a bidirectional independent recurrent neural network tandem joint algorithm (CATIR) are proposed. In natural language processing related technologies, word vector features are extracted based on URLs, and the extracted URL information features and host information features are merged. The proposed CATIR algorithm uses CNN (Convolutional Neural Network) to obtain the deep local features in the data, uses the Attention mechanism to adjust the weights, and uses IndRNN (Independent Recurrent Neural Network) to obtain the global features in the data. The experimental results shows that the CATIR algorithm has significantly improved the accuracy of malicious URL detection based on traditional algorithms to 96.9%.
Fault Feature Extraction for Anchor Bolt Loosening of Escalator Based on EWT and Bispectrum Analysis
Authors: Yan Zheng
Published: August 2021

Escalator is an essential large-scale public transportation equipment. Once the failure occurs, it will inevitably affect the operation and even cause safety accidents.  As an important part of the structure of escalator, the loosening of the anchor bolt will lead to abnormal operation of escalator.  Aiming at the current difficultyin extracting the fault features of anchor bolt loosening, a fault feature extraction method of escalator anchor loosening is constructed based on empirical wavelet transform (EWT) and bispectrum analysis. First, perform EWT decomposition of the original footing vibration acceleration signal to obtain a series of empirical mode functions(EMFs).Then, for each empirical mode function, the bispectrum was calculated by using bispectrum analysis method, and six texture features of the bispectrum were extracted as fault feature vectors by means of gray-gradient co-occurrence matrix.  Finally, the extracted multi-scale fault feature vectors and bi-directional longshort-term memory (BI-LSTM) were used to classify and identify the four types of fault signals with different degrees of foot loosening, and the fault types of foot loosening were determined. The results show that the feature extraction method based on empirical wavelet decomposition and bispectrum analysis can more effectively identify the loosening level of anchor bolts.
Resource Endowment Evaluation of Sports Tourism Industry in Nine Provinces of the Yellow River Basin
Authors: Huang Yan Yuzhen Wang,
Published: August 2021

Based on the methods of mathematical statistics and qualitative description analysis, this paper quantitatively evaluates and analyzes the resources endowment of sports tourism industry of nine provinces in the Yellow River Basin. Results: the regional differentiation is the prominent feature of the sports tourism resources endowment in the nine provinces of the Yellow River Basin, showing a spatial distribution pattern of rich in the southeast, poor in the northwest and moderate in the north central. Suggestions: according to the resources differences of sports tourism industry in nine provinces and autonomous regions of the Yellow River Basin, accurately positioning the development scale of sports tourism resources, deeply innovating the product system of sports tourism industry, and scientifically deciding the integration path of sports tourism resources; designing, planning, developing and publicizing sports tourism resources in a targeted way, so as to continuously improve the benefits of sports tourism resources in the Yellow River Basin and effectively promote the coordinated development of sports tourism industry in nine provinces of the Yellow River Basin.
Quality Safety Risk Evaluation of Agriculture Product Cold Chain:A 4M1E Analysis Framework
Authors: Xin Shen Qiao Liu,
Published: August 2021

Due to the lack of an efficient cold chain logistics process, China's agricultural postpartum loss has been serious for a long time, and frequent food safety accidents occur. It is of necessity to establish a quality safety management system for the agricultural product cold chain in China. From the five dimensions of man, machine, material, method, and environment (4M1E), we identify the quality risk structure of the agri-food cold chain. An evaluation system is established with the combination of the analytic hierarchy process and entropy value method. A case study demonstrates the effectiveness of the risk assessment system to help enterprises for decision-making on cold chain operations.
Impact of Network Public Opinion Disposal Model on Public Value Factors under the Background of Big Data
Authors: Xu Xiao-Long Peng  Bo,
Published: August 2021

It is the key for the government to control the degree of information alienation to study the mechanism and control model of network public opinion information alienation for big data. This provides a theoretical basis for the government to deal with and manage the network public opinion. This paper uses qualitative analysis of the information alienation mechanism of network public opinion under the big data environment, and expands the evolution mechanism model of network public opinion to the information alienation control model. On this basis, the classification of government control information alienation is studied by numerical simulation. This paper takes the actual forum, blog, website with news comment function as the research object, and proposes a prediction platform construction scheme based on Java, which integrates a variety of prediction models. This provides useful exploration and ideas for quantitative research on the complex social phenomenon of network public opinion.
Analysis of the Current Situation of Piano Education in Colleges and Universities in the Information Age and Research on Countermeasures
Authors: Shuhui Yuan
Published: August 2021

In view of the low application ability of piano improvisational accompaniment of music majors, this paper proposes a method of big data combined with MIDI keyboard and Kinect depth sensor to achieve the purpose of recognizing chord progression and judging fingering when students perform, and realizes the auxiliary teaching system. Firstly, the information of color and depth images is obtained, and the state transition diagram of chord transposition and chord gesture template library are constructed as the system initialization conditions. Secondly, using the traditional skin color modeling and background difference method as well as the current depth data, the gesture recognition is realized by template matching. Finally, the correctness of chord progression is judged, and comprehensive fingering application is used to score and evaluate. The experimental results show that the system has high robustness and can be effectively applied to piano teaching.
Image Information Collection System Based on Python Web Crawler Technology
Authors: Jin Dong
Published: August 2021

Collecting data from the Internet is the key to solve the problem of data sources. This paper studies the image information collection system based on Python web crawler technology.This paper studies and develops a data acquisition system based on Python web crawler technology, which realizes the automatic collection of subject data. In this paper, we use urllib, beautiful soup, threading library to design and develop a system model framework including data crawling, exception handling, robots protocol management and multithreading management modules. Through the application of specific cases, this paper introduces the data acquisition process. Experimental data show that compared with the traditional manual data acquisition, the proposed method greatly improves the work efficiency.
Research on Data Security Audit in Cloud Computing for Big Data Environment
Authors: Shuanbao Li
Published: August 2021

The modernization of industrial industry cannot be separated from the development of big data.In order to meet this challenge, cloud data integrity audit has been proposed in recent years and received extensive attention. Based on the in-depth study of the impact of different cloud storage data types on the audit scheme, this paper proposes an audit scheme based on Dynamic Hash table.Based on this, this paper explores a variety of cloud storage audit algorithms for different data types to deal with different security challenges.Facing a series of data security problems brought by cloud computing, this paper analyzes the concept, working principle and characteristics of cloud computing, and discusses the data security risks brought by cloud computing from four aspects. At the same time, this paper elaborates the data security strategy from five aspects: data transmission, data privacy, data isolation, data residue and data audit. In this paper, we propose to adopt end-to-end data encryption technology, build private cloud or hybrid cloud, share table architecture, destroy encrypted data related media, and introduce third-party certification authority for data audit.
Research on Oil Painting Image Extraction and Identification Method based on Intelligent Vision
Authors: Yu Xianjun
Published: August 2021

A high-precision and high-efficiency oil painting identification method is the auxiliary basis for authenticating works, because it can improve the efficiency and credibility of oil painting identification. Therefore, an oil painting image extraction method based on intelligent vision was proposed.An intelligent visual detection model was constructed to obtain the characteristics of oil painting images.The oil painting feature fusion method based on intelligent vision was adopted to integrate the color and shape features of oil painting features, calculate oil painting feature difference coefficient and difference feature threshold, and realize oil painting image extraction by oil painting image extraction rules.The research results verified that the proposed method could effectively identify the authenticity of oil paintings. Compared with the expert identification method and the identification method based on deep learning, it can be seen that the method had the highest identification accuracy, the shortest identification time, the best anti-interference, and the remarkable identification performance, so it had a high application value.
Research on Renewable Resources in Circular Economy based on Intelligent Processing Technology and Product Life Cycle Analysis
Authors: Shifan Zhu Longfei Yu,
Published: August 2021

To achieve more real-time and efficient management of renewable resources and ensure the economic efficiency and environmental friendliness of the process, the renewable resources management mode based on intelligent processing and life cycle analysis was discussed. With the advantages of intelligent processing technology in perception, data collection, information network transmission and intelligent processing, the theory and method of life cycle analysis on environmental impact assessment were applied to the field of renewable resources management, so as to realize efficient and intelligent management of renewable resources. Meanwhile, the environmental effects of various renewable resources should be taken into account, and their respective advantages should be given full play to provide better services for the management of renewable resources.Finally, the combined application of the two was explored by taking the data as the integrating point.
Relationship between Corporate Social Responsibility and Corporate Value of Listed Forestry Companies: A case study in China
Authors: Et al. E. Liu,
Published: August 2021

In this study, a sample of 100 was obtained from 20 listed forestry companies in China to explore the relationship between corporate social responsibility and corporate value for the period 2013 to 2017. The study concentrated mainly on corporate social responsibility to the shareholders, creditors, suppliers, consumers, employees, government and community and how it influence corporate value. In front of the covid-19, companies are facing market pressure and non-market pressure in fulfilling their social responsibilities The SPSS statistical software was used for analysis. The result shows a positive relationship between corporate responsibility to shareholders, creditors, employees, consumers, suppliers and government and corporate value. In a short period, the enterprise's donation would bring down the enterprise's value, but in the long-run, the enterprises that donate more would experience an increase in enterprise's value. The positive effect of corporate social responsibility on the enterprise value of forestry-listed companies is not obvious in the short term.
An Empirical Study on the Influence of Citizen Information Literacy on Smart City Construction under COVID-19 Epidemic
Authors: Rui Zhang, Zhao Yi Sujuan Zhang,
Published: August 2021

Objectives: The information epidemic caused by COVID-19 in 2019 makes it difficult to find accurate sources or reliable guidance when people need information. During the outbreak of an epidemic, citizens' information literacy level not only affects people's access to relevant information, but also affects how people take timely and appropriate actions after obtaining the correct information. Therefore, it is of great significance to analyze the impact of citizens' information acquisition ability, information evaluation and utilization and information ethics on urban public health emergencies, and to realize the people-oriented core concept of smart city and improve the construction effect of smart city. Methods: Based on the evaluation standard of information literacy for smart city, this paper constructs a structural equation model of citizens' information literacy and smart city for empirical analysis. Results: The results show that there is a significant positive correlation between citizens' information literacy and smart city construction. Conclusions: Improving citizens' information literacy level can effectively promote the development of smart city construction.
Analysis of Contemporary College Students' Physical Exercise Behavior under the NCP
Authors: Jin Yuefeng
Published: August 2021

Objectives: Facing the rapid spread of NCP in the world, it is particularly important to improve students' immunity and resistance through physical exercise.Methods: This paper investigates the physical exercise behavior of college students by means of literature investigation, expert interview, questionnaire survey and behavior analysis.Results: Under the NCP, there are individual differences in the enthusiasm of college students to participate in physical exercise; the self-efficacy of male and female students participating in physical exercise is low, and girls are lower than boys; boys' expectation of results is higher than girls'; the self-adjustment ability of boys is higher than that of girls. There is a negative correlation between students' participation perception barrier and participation enthusiasm. Conclusions:Home exercise is training for the public during the NCP and special weather conditions. By creating a strong atmosphere of physical exercise and sports culture, vigorously publicizing and popularizing sports knowledge and exercise effects, carrying out personalized physical education, reducing perceptual barriers and adjusting physical exercise plans, students' enthusiasm for participating in physical exercise is mobilized to improve students' physical health.
Survey of UI Design Needs for Integrated Service Apps in Large Hospitals are the Medical Industry-Based on a Case Study in Zhengzhou
Authors: Yu Fan
Published: August 2021

The improvement of Service Apps has a strong driving effect on the overall improvement of the medical industry. Besides, it is more conducive to the prevention and control of the COVID-19 outbreak for patients with chronic and mild diseases to use the online inquiry. Therefore, in this paper, the status quo of comprehensive service design for large-scale hospitals in Zhengzhou, China is analyzed and summarized, and the necessary requirements for establishing a unified UI (User Interface) design centered on users (patients) are studied, in order to enhance and improve the design content of inappropriate placement and use of UI.Using the existing model of integrated services, an evaluation project is proposed for users. A survey study is made on investigating the needs for UI design in large general hospitals from a service perspective based on relevant theories, which aims to achieve enhancement of the hospital system, reach work productivity and increase brand-name value of hospital services. It involves the lack of unity of information systems and user confusion due to the different forms. To solve this problem, user-centric UI design includes a coherent interface, an experiential design component, and a visual component. Therefore, in this study, the network service App and UI design needs of large hospitals in Zhengzhou City are investigated and summarized.Based on the situational design method, the user centered design fully considers the user needs in different situations and gives feedback, so as to improve the user experience. The integrated design model of service design created in this study will help large general hospitals in Zhengzhou to establish organic, efficient and high-quality health care services, and realize a general hospital system to improve service experience and service satisfaction for all users.
Influencing Factors and Mechanism of Coal Enterprise Merger and Acquisition from the Perspective of Dynamic Capability
Authors: Min Zhou Zhen Zhou,
Published: August 2021

Merger and acquisition (M&A) is an important way for coal enterprises to acquire key competitive resources and core competencies and achieve rapid growth. In the existing research, more emphasis is placed on integration policies, methods and performance evaluation, lack of theoretical analysis and empirical testing on the key decision-making factors and driving mechanism of coal enterprises' M&A. In this paper, a conceptual model of influencing factors and action mechanism of coal enterprise M&A is constructed, and the relationship between influencing factors, ability construction and enterprise performance of coal enterprise M&A is discussed from the perspective of dynamic ability. Based on 323 sample data of coal enterprises in key coal-producing areas in China, the research hypothesis is empirically tested by hierarchical regression and structural equation model. The research reveals that government regulation, industry competition, entrepreneurial orientation and organizational alertness have significant positive effects on coal enterprise M&A. Government regulation and industry competition have a positive impact on environmental perception and resource reconfiguration, but an insignificantly positive impact on resource integration, which also verifies the negative effect between government regulation and industry competition.
A Field Study of Relatively Long Chopsticks Reduce Food Consumption
Authors: Hui Hsi Hung Hung Ming Lin,
Published: August 2021

In this study, we examined the influence of chopstick length on diners’ food consumption in a Chinese box restaurant. Diners were randomly offered chopstick of two lengths (23 and 19 cm), and after they finished eating, their lunch boxes were weighed to measure the actual quantity of food consumed in a real dining environment. The results indicated that diners who used the long chopsticks consumed a lower quantity of food and had fewer mouthfuls than did those who used the short chopsticks, suggesting that long chopsticks can help control the quantityof food consumed without affecting diners’ satisfaction with the dining experience. Our findings and those of previous research prove that bite size is the main factor mediating the relationship between a utensil’s physical characteristics and people’s food consumption.
Short-Term Load Forecasting and Temperature Load Extraction Based on CEEMDAN and TDIC
Authors: Et al. Min Wang
Published: August 2021

With the intensification of urbanization in various countries worldwide, the temperature load which is greatly affected by ambient temperature, such as summer cooling loads and winter heating loads, accounts for a rising proportion of the total urban load. It causes an increasing peak-to-valley load difference. However, due to the complex composition and strong randomness of the load, it is necessary to study the multi-scale and multi-period correlation between temperature. Based on this, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is used to decompose the temperature and load into multi-scale components. The time-dependent intrinsic correlation (TDIC) is proposed to analyze the local correlation between temperature and load in multiple periods under a multi-scale framework, and obtain the dynamic change characteristics of the correlation between temperature and load. Based on the TDIC analysis results, a suitable sample period for short-term load forecasting (STLF) and input temperature data can be selected. Finally, extreme learning machine optimized by particle swarm optimization (PSO-ELM) is used to forecast each component of the load. The proposed STLF method is validated on real-time data from the Pennsylvania-New Jersey-Maryland (PJM) Company in the United States. The proposed method has greatly reduced in both mean absolute percentage error (MAPE) and root mean square error (RMSE) compared with other traditional methods, and the temperature load that fluctuates with temperature in the day to be forecasted is extracted.
Curriculum Ideology and Politics: Research on the Practice of Consumption Psychology Practice Curriculum Divided Classroom Teaching Practice
Authors: Yunping Ai Wei Zhao,
Published: August 2021

At present, improving the practical effect of ideological and political courses has become a hot issue in many vocational colleges. The article cuts into the classroom teaching model, uses teaching experiments, questionnaire surveys, interviews and other research methods to design the integration of the ideological and political elements of the consumer psychology practice curriculum, the implementation of the teaching process, and the feedback of teaching results. The results show that: The dual classroom teaching model of information technology such as the media can better meet the learning characteristics and needs of students in higher vocational colleges and has a significant effect on improving the ideological and political teaching of consumer psychology practical courses. At the same time, we also hope to provide some ideas for reference to the ideological and political education of the same type of courses in other higher vocational colleges.
Research on the Problems and Countermeasures of China's Sporting Goods Manufacturing Industry in Olympic Marketing
Authors: Han Yang Zhen Bai,
Published: August 2021

“Sports marketing” is a very popular marketing method today. With the upcoming 2022 Beijing Winter Olympics, "Olympic marketing" has become a new way for sporting goods manufacturing industry to enhance brand value and realize brand leap. Using the method of literature review, this paper summarizes the existing problems of domestic sporting goods manufacturing industry in the process of Olympic marketing, and puts forward the corresponding marketing strategies for everyone to discuss.
Influencing Factors of Background Music Application in Tourist Attractions Based on DEMATEL
Authors: Zhao Ping
Published: August 2021

This paper reveals the influencing factors of background music application in tourist attractions from three dimensions of music selection, application management and supporting services. Using DEMATEL model to analyze the interaction between the various factors and the degree of affect and importance according to the calculation results.With consideration of the key factors of performance activities,lighting, various style, particularmusicartisticconceptionand regional cultural characteristics, this paper puts forward some suggestions on application of background music in A-level tourist attractions.
The Dynamic Developing Strategies of the Construction of Self-Management Learners’ Identity in Online Teaching Space
Authors: Jiapei Wang, Huxiao Li Xiaoliang Xiong,
Published: August 2021

With the implementation of “three accesses and two platforms” (three accesses refer to the access to Internet for each school and college, access to quality educational resources for each class, access to online learning space for each student; two platforms refer to the online platform for educational resources and the online platform for educational management), the online teaching space with more abundant subject knowledge material has become a new teaching field of curriculum reform. Its effectiveness depends on the multiple effects of value pursuit, identity, teaching system, teaching culture, teaching personality and learning style, with students’ identity as the subjective initiative factor. In view of the fact that the purpose of education is the premise and foundation of students’ identity, this paper applies the methods of sociology and pedagogy to explain the influence of the value orientation of students’ identity and the socialization process of learners’ development so as to illustrate the dynamic developing strategies of the construction of self-management learners’ identity in online teaching space on the basis of the building, developing, formatting and maintenance of emotional education of teaching.
Magnetic Circuit Design and Finite Element Simulation Analysis of Magnetic Fluid Rotating Dynamic Sealing Device
Authors: Et al. Xiaojuan Li
Published: August 2021

The magnetic fluid rotary dynamic sealing device is based on the magnetic fluid material. The typical sealing structure is to fill the magnetic fluid in the gap between the shaft and the magnetic pole, and keep it in the sealing gap under the action of the external magnetic field to form a liquid "O"-shaped sealing ring to block it. The sealing effect of this kind of device largely depends on the design of the magnetic circuit structure of the device. In this paper, ANSYS finite element simulation is used to analyze the influence of seal stages, tooth shape and the number of permanent magnets on the magnetic fluid rotating dynamic seal. The L9 (34) factor level table is designed by orthogonal test method to analyze the priority of the influence of tooth width, seal clearance and chamfering on the magnetic fluid sealing performance, which provides the reference for the structural design and magnetic circuit design of magnetic fluid rotating dynamic seal.
Recognition of Station Topology Based on Power Conservation
Authors: Et al. Yulu Cai
Published: August 2021

Aiming at the problems of the confusion of user meter data in the distribution network and the difficulty in identifying the relationship, a creative method of identifying the topological structure of the station based on the conservation of current and energy is proposed. Through the calculation of the current data relationship, a mathematical relationship model based on energy conservation is established for the topological scene of the station. After constructing the mathematical model, through a series of transformation methods, the model is transformed into a convex optimization problem. By solving the model, the topological relationship of the station is finally obtained. Through the experimental verification and analysis of real data, the model algorithm proposed in this paper has higher accuracy and higher efficiency than manual screening, and has deeper research value.
Analysis of Temporal Characteristics of Burglary Crime
Authors: Zimiao Shi Dong Cai,
Published: August 2021

Social security order had generally stabilized, and various major criminal crimes had been effectively controlled, but the problem of burglary crime was very serious. Burglary crime had gradually shown the different characteristics from the past, making it increasingly difficult to control. Data of Burglary crime from 2015 to 2019 in Danyang City, Jiangsu Province, was collected. The main contents of the study included temporal trend analysis based on time series, temporal hotspot analysis based on Biharmonic Spline Surface Interpolation, and temporal correction analysis based on Time Period Probability. Characteristics of burglary cases in yearly scale, monthly scale, and daily scale were extracted in this paper. This study found that the burglary cases in Danyang showed different temporal distributions on different time scales. This study further enriched the spatio-temporal analysis methods of burglary crime, and put forward targeted and reliable suggestions for police departments.
Construction of Special Program of Artificial Intelligence in Applied Universities of Finance and Economics
Authors: Wang Linge
Published: August 2021

The development of AI technology has affected all walks of life in society, and then brought about the urgent demand for intelligent, compound and applied talents. Through the analysis of the current financial industry, finance and other industries, combined with the current situation of compound talent training in Financial Colleges and universities, the construction path of the "AI" special program in financial application colleges and universities is proposed, and the specific implementation plan of the course construction is described from the education objectives, curriculum objectives, teaching objectives, teaching plans and other aspects.
The Value Guidance and Integration Path of Red Flag Canal Spirit in Curriculum Ideology and Politics
Authors: Peng Ao-tian
Published: August 2021

Curriculum Ideology and Politics can not only be a curriculum view, but also can be a view of education, education into the activities of teaching is the due meaning of education. How to integrate the past excellent practice resources into the course is the main content of this paper. Through the interpretation of the spiritual source and essence of the Red Flag Canal, it puts forward the path of its value guidance and concrete integration: self-reliance, fearless consciousness integration; Integrate hard work, pioneering and innovative spirit; Integrate unity and cooperation, the pursuit of perseverance; Integrate selfless dedication, the courage to bear feelings.
Domestic Research Progress Analysis of Research Travel Based on CNKI Big Data Quantitative Analysis
Authors: Qing Liu, Zhen Huang Jiuju Zhang,
Published: August 2021

With the big data bibliometric analysis function of CNKI, 925 documents were retrieved with "research travel" as the keyword. Visual analysis and index analysis were performed on these documents. In terms of development trend, authors, keywords, fund support and research level, the characteristics of research progress of domestic research travel are summarized.According to the quantitative analysis results of big data, it can be seen that the research on research travel is in the exploratory stage and the research level is single.In the future, researchers need to continuously deepen their research, increase the research of industry guidance, vocational guidance, basic and applied basic research and other types, and constantly enrich the research levels; grasp the hot spots such as geographical practice, core literacy, geographic core literacy, curriculum development, quality education, small research topics, etc, and deepen the research contents of research travel.
Progress in Vinyl Acetate
Authors: Ma Heng
Published: August 2021

Vinyl acetate is an organic chemical raw material of great industrial value. It is widely used in synthetic film, adhesive, coating and textile slurry. The production route of vinyl acetate is introduced, and the advantages and disadvantages of synthesis methods of vinyl acetate method, acetylene method, EDA cracking method, base synthesis method and Halcon method are compared. The method of carbide acetylene has high economic efficiency, low energy consumption and good environmental protection, proposing the development direction of ethylene acetate production technology.
Feasibility Study Stage of Highway Engineering in Mountainous Area Compilation of Estimation Quantity Table of Temporary Works
Authors: Ru Mou, Peng Yang Wei Zhang,
Published: August 2021

Reasonable estimation of the project quantity in the feasibility study stage of mountain highway project is one of the basis for the preparation of investment estimation. Combined with the practical work for many years, the content and method of the temporary project, safety measures and other engineering quantity table in feasibility study stage of the highway project in Chongqiu District of mountain are introduced. Taking the calculation of the temporary project of Ningxiang expressway as an example, the basic method of calculation of the maintenance and restoration of the construction access road, the bridge and the original road in mountainous area is analyzed. The author concludes that the influence of geological conditions, topography and original traffic facilities should be considered comprehensively when preparing the temporary engineering quantity table.