bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors affecting cross-border RMB settlement under the Belt and Road Initiative: An empirical study based on panel data of 19 countries (regions)
Authors: Wang Yang-Chao , Tsai Jui-Jung , Chen Wenyu 
Published: September 2020

Abstract
Based on the panel data of 19 countries (regions) under the background of the Belt and Road Initiative (BRI) from 2014 to 2018, this study uses generalized least squares (GLS) models, which reduce the heteroscedasticity to explore the factors affecting partner countries’ RMB settlement choice. Further, this study compares the differences of influencing factors between BRI and non-BRI countries (regions). The results show that for countries (regions) along the Belt and Road, China’s economic and financial development more effectively promote the use of RMB settlement. In addition, the trade characteristics are closely related to the cross-border RMB receipts and payments. In terms of trade volume, the larger the bilateral trade between China and BRI countries (regions), the larger the cross-border RMB receipts and payments will be. In terms of trade structure, due to low degree of substitution for high-tech products, the higher the proportion of China’s high-tech products exported to foreign countries (regions), the greater bargaining power in the choice of pricing and settlement currency. Moreover, bilateral currency swap agreements, the establishment of RMB clearing centers, and currency stability are also critical influencing factors.
Dynamic analysis of piezoelectrically driven flapping wing
Authors: Guo Buyuan , Zhang Yafeng , Zhang Jiajia 
Published: September 2020

Abstract
The micro flapping wing using the traditional flapping wing mechanism has the disadvantages of low aerodynamic efficiency and high energy consumption. The bionic flapping wings driven by piezoelectric materials can effectively combine the two main systems of flapping wings and wings. It not only has the task of reducing weight but also has the characteristics of strong deformation ability, high aerodynamic efficiency, and low energy consumption of mechanism. The structure simulation of piezoelectrically driven bionic flapping wing was carried out to use aerodynamic experimental data of the same size of flapping wing. The piezoelectrically driven bionic flapping wing was developed by using the simulation results. The studies show flapping frequency of bionic flapping wing has been improved obviously after using the piezoelectric actuator. The piezoelectric patches can effectively control the wing bending and torsion deformation, which is helpful to improve aerodynamic efficiency of the flapping wing.
Design and analysis of single-degree-of-freedom flapping wing mechanism based on UG
Authors: Zhang Yafeng , Wang Xiaobo , Zhang Guoqiang , Yang Jinhua 
Published: September 2020

Abstract
According to the structural characteristics of bird wings, this paper presents a new type of flapping wing mechanism with single degree of freedom. The mathematical model of this structure has been established by this study. The left and right flapping angles of the mechanism are obtained through this simulation. The change rules of the left and right flapping angular velocities and the left and right flapping angular accelerations of the left and right rocker arm instantaneous flapping angular difference mechanism are also simulated by this model. This model lays a theoretical foundation for the dynamic characteristics of the mechanism. This study also makes a experimental plane. In this study, a high-speed camera was used to record the motion process of the experimental plane. The experimental results show that the test aircraft in this paper can realize the required movement of bionic wings. This study provides some theoretical and engineering guidance for the design of flapping wing mechanism.
Hybrid matrix factorization recommendation algorithm based on item similarity
Authors: Min Lu , Huang Xuejian , Wang Gensheng 
Published: September 2020

Abstract
In order to solve the problem of sparse data in matrix factorization recommendation algorithm, a hybrid matrix factorization recommendation algorithm based on item similarity is proposed. First of all, Worde2vec is used to mine the content information of items in user’s comment data to get the content similarity of items; secondly, the attribute similarity of items is calculated according to the attribute information of items; then, the content similarity and attribute similarity are fused to get the final item similarity; finally, the similarity of item is integrated into the objective function of matrix factorization algorithm. The experimental results show that the hybrid recommendation algorithm has higher accuracy, recall and coverage than the traditional matrix factorization recommendation algorithm.
Prediction of international Chinese liquor market based on convolution neural network
Authors: Zhou Liwen 
Published: September 2020

Abstract
In view of the low market share of Chinese liquor in the international market, domestic liquor export strategies are mostly analyzed from the qualitative aspect, while the reasonable quantitative mathematical model is seldom studied. In this paper, the Convolutional Neural Network (CNN) was used to analyze the current development of Chinese liquor export market by establishing the nonlinear relation model between liquor export amount and various influencing factors, so as to forecast the future market export volume and provide quantitative reference for the development of Chinese liquor export industry.
Formation keeping method of weakly driven multi robot in time-varying flow field
Authors: Wang Ting , Sui Jianghua 
Published: September 2020

Abstract
In order to solve the problem that group formation control and optimal path cannot be considered simultaneously for weakly driven multi robot under the influence of environmental flow field, a method combining time-optimal path planning and leader-follower formation control is proposed in this paper. The time-optimal path of the leader is obtained by level set method, and the formation keeping is based on this path. According to the position of the leader and the reachable set of the follower at a certain time, the position of the follower is determined by solving the formation optimization function, and the complete path is completed by solving the formation optimization problem iteratively. While the formation optimization function maintains the group formation, the reachable set generated by the level set method ensures the feasibility of the path obtained in the time-varying strong flow.
Analyzing trade data between Fujian Free Trade Zone and Taiwan based on the gravity model
Authors: Tsai Jui-Jung , Wang Yang-Chao , You En 
Published: September 2020

Abstract
Using panel data of 19 major trading regions in Fujian from 2001 to 2017, this study employs two directional (import and export) trade gravity models to evaluate the current trade status and trade potential of Fujian. As the closer economic and trade cooperation between the two sides of the Taiwan Straits strengthens, it is of great significance to investigate how the Fujian Free Trade Zone can further promote cross-strait development. The results show that Fujian’s imports and exports to Taiwan were in an abnormal state, with imports showing “over-trading” and exports showing “under-trading”. The main reason is that Fujian presents trade subsidies in imports, while Taiwan has hidden barriers in exports. This study uses empirical results to emphasize the need for further economic integration and development between Fujian and Taiwan. In terms of population, the Fujian Free Trade Zone needs to focus on introducing talents and industrial integration at various levels. Culturally, Fujian should strengthen cross-strait cultural exchanges, reduce information asymmetry, and lower cultural barriers to promote cross-strait economic and trade development.
Data analysis of factors influencing consumers’ payment price of traceable food
Authors: Li Xia , Huang Heliang 
Published: September 2020

Abstract
Taking infant formula milk powder, an important food, as an example, this paper selects a total of 12 explanatory variables from three aspects: personal characteristics, family factors and psychological factors, takes consumers’ willingness to pay for food traceability labels as dependent variable Y, and adopts binary logistic regression model to understand and analyze the influencing factors of consumers’ willingness to pay for food traceability labels with big data collection and analysis. The results show that consumers’ age, education background, monthly family income, consumers’ trust in traceable labels and total family population will significantly affect consumers’ willingness to pay for food traceability labels; specifically, younger consumers are more willing to pay for food traceability labels, consumers with higher education are more inclined to pay for food traceability labels, consumers with higher income are more inclined to pay for food traceability labels, consumers with higher education are more inclined to pay for food traceability labels, and consumers with high trust in traceability labels are more inclined to pay for food traceability labels.
An empirical research on the Non-Linear effect of financial asset allocation on the development of main business
Authors: Ren Keke 
Published: September 2020

Abstract
With respect to the hot issue of “breaking away from entity economy, and transforming to virtual economy” in Chinese economy over the years, an empirical test is carried out in the paper considering the influence of financial asset allocation on the development of main business in entity enterprises by regarding A-share entity enterprises in Henan Province from 2009 to 2018 as the research samples. According to the research, entity enterprises in Henan Province are of huge differences in financial asset allocation and in general, the configuration level is not high, and the main business is facing lower operating incomes. From the perspective of different industries, financial asset allocation of enterprises in the manufacturing industry presents U-shaped relations with the development of main business, and when the level of financial asset allocation in enterprises reaches to 10.47%, incomes obtained by financial asset allocation can promote the development of main business, but the above effect isn’t obvious in other industries. The research conclusion made in the paper is that entity enterprises can benefit more by making reasonable investment decisions, improving the utilization rate of idle funds, perfecting the effectiveness of financial market, and depositing into financial institutions, and these effects can provide the major basis to realize “the mutual promotion of finance and industry”.
Intelligent chat robot in digital campus based on deep learning
Authors: Liang Yujie , Yu Ying , Ouyang Wenhao 
Published: September 2020

Abstract
In this paper, two different technologies are adopted to realize the digital campus intelligent chatbot. The robot has three core modules: chat module, campus information module and virtual teaching assistant module. For chat module, this paper uses Encoder-Decoder framework. For the campus information module and virtual teaching assistant module, this paper pursue high precision and adopt retrieval mode. In practice, the two modules implemented by different technical means complement each other, greatly improving the user experience of students.
Internal control quality, equity pledge financing and investment efficiency
Authors: Mu Wen , Zhou Yuetian , Cao Qilin 
Published: September 2020

Abstract
In the present situation of difficult enterprise-financing, the equity pledge of corporate controlling shareholders is a effective channel for enterprises to relieve financing constraints. Whether an enterprise can formulate a reasonable investment policy to obtain investment income effectively and achieve financial goals, determines whether an enterprise can develop in the long-tern future. The target of this paper is to approach how the investment efficiency of an enterprise will change with the increase in the portion of controlling shareholder equity pledge (CSEQ), and how the internal control system of the enterprise regulates the contact between controlling shareholder equity pledge and investment efficiency. The article found that the controlling shareholder’s equity pledge (CSEQ) affects the enterprise’s inefficient investment behavior, and the controlling shareholder’s equity pledge ratio has a positive interrelationship with the inefficient investment. According to the previous studies, this paper carries out further research, innovatively introduces the internal control quality index, discusses the influence of internal control quality on equity pledge and investment efficiency sensitivity. The result show that the higher internal control quality can restrain the excessive investment behavior of enterprises
Statistical analysis and prediction based on recursive calculation under short and long term models
Authors: Liu Zhang 
Published: September 2020

Abstract
One of the most critical factors for economic growth is population issue, which is also a key factor restricting the development of a country. Currently, the population aging process has accelerated, the number of birth sex ratios has continued to rise, and the rural population has been urbanized. Based on the recursive calculation method, the relevant population short-term growth prediction model and long-term growth prediction model are established in this paper. According to the census data, the future possible number is predicted. Practice has proved that our prediction results are basically in line with China’s development.
Charitable donation, managerial power, and sustainable development of enterprises—based on data analysis of Chinese listed companies
Authors: Guo Furong , Yang Wei , Gan Shengdao , Liu Xinyun 
Published: September 2020

AbstractAs an important strategic enterprise decision, charitable donation plays an important role in the operation and growth of enterprises, and managers can have an important impact on the selection and implementation of enterprise strategies. Therefore, we used data analysis methods to test the relationship between managerial power and philanthropic donation on the sustainable development of Chinese A-share listed companies from 2008 to 2017. The result shows that charitable donation can promote the sustainable development of enterprises, while managerial power plays a negative regulatory role in the development. The findings provide empirical evidences for us to combine corporate donation and management power when considering the promotion of sustainable development of enterprises.
Application of big data technology in prediction and prevention of rock burst
Authors: Shi Junwei , Meng Xiangrui , Chen Zhangliang , Wu Xueyi 
Published: September 2020

Abstract
Coal and rock dynamic disasters, especially the impact ground pressure dynamic disasters, are major safety technical problems in deep resources mining in China. In view of the basic theory and key technology of ground pressure monitoring and early warning during coal mining, in order to reveal the scale and timing effect of physical field response and the relation with energy accumulation-release, the cooperative relation and equivalent transformation mode of multi-field multi-parameter precursor information, constructing the monitoring and warning index system, big data technology is used to study the characteristics of ground pressure stress-energy-physical parameter coupling feed-off and time-space evolution, while considering the whole mechanical process of ground pressure development, and establish the theory and model of multi-field multi-parameter monitoring and early warning under the background of big data based on space-time complementarity; The purpose of this paper is to establish the theory and method of intelligent identification and early warning of impact ground pressure through studying the intelligent identification method and expert system of the main control factors, disaster risk and precursor information of impact ground pressure under big data. In order to ensure the correctness and accuracy of monitoring information, construct the integrated monitoring and warning technology of shock ground pressure-electric-seismic multi-source information under the complex geological conditions of coal mine, this paper on the one hand studies the accurate monitoring, extraction and identification theory and optimization algorithm of shock ground pressure precursor information based on multi-parameter information fusion, on the other hand develops the active controllable stress inversion technology and equipment based on vibration wave CT, the continuous real-time monitoring theory method of ground stress, and ultra-low frequency electromagnetic radiation monitoring technology. Finally the theory and technology system of impact ground pressure risk identification and monitoring can be concluded.
Research on the influence of physician-work environment fitting on turnover intention-mediating role of job burnout
Authors: Wang Xiuqin , Cheng Xiao , Chen Li 
Published: September 2020

Abstract
From the perspective of Person-environment fit (PEF), this paper tooks job burnout as a mediating variable to study the influence of physician-work environment fitting on turnover intention. The mediating model of physician-work environment fitting, job burnout and turnover intention was fitted through the questionnaire survey results of 250 physicians in class3-A hospitals in Hubei province. The mediating effect accounts for 47.4% of the total effect between the two. The fitting degree between physicians-work environment in the class3-A hospitals in Hubei province was general (5.62+0.75), and the burnout situation and turnover tendency were not obvious (3.46+0.91, 3.67+1.34). The fitting degree between physicians and hospitals, as well as colleagues were important factors affecting the turnover of physician. In order to alleviate physicians burnout and reduce the turnover rate, the hospital should promote the cooperation and communication between physicians, face up to and meet the economic and psychological needs of physicians, and improve the fitting degree between physician-work environment. Finally, the paper puts forward some suggestions on the intervention of the hospital environment.
Optimization of the speed regulation performance of a rubber belt CVT for a vehicle
Authors: Dong Jihao 
Published: September 2020

Abstract
The structure of a CVT in a vehicle is explained, and its characteristics is analyzed. The optimal scheme is selected, according to the influence of various parameters on the speed regulation characteristics of the transmission. The results show that the speed regulation performance can be optimized by changing the structure of the transmission, and the state of working near the maximum power point can be maintained for the engine. Compared with the general transmission, CVT (continuously variable transmission) has the advantages of simple operation, smooth transmission, less noise and small size. The speed regulation characteristics of the rubber belt CVT refers to the CVT’s own structure is changed with the changing driving conditions of the vehicle, so that it can achieve the purpose of a better speed regulation. CVT’s speed regulation characteristics affect the degree of matching between CVT and the vehicle’s power transmission system, and the power transmission performance of the whole vehicle.
An analysis and empirical study on the related factors of college oral English teaching reform
Authors: Shi Moli , Cui Faqiang 
Published: September 2020

Abstract
In order to effectively improve college students’ oral English expression ability, this article uses continuous innovation to improve the evaluation teaching method for the first time, facing 90 first-year students of 2019 university, and has carried out two consecutive semesters of reform. The SPSS software was used to conduct sample t-test on the three oral comprehensive evaluation data before, during and after the reform. It is concluded that the continuous reform of “thinking, practice and innovation” for more than one year can greatly help college students to effectively improve their oral expression ability, but it cannot exceed the correctness of traditional teaching methods in language form. At the end of the article, it is innovative to put forward the simultaneous reform of reading teaching and listening teaching, which can shorten the period of oral teaching reform and accelerate the improvement of comprehensive oral ability.
Impacts of debate instruction on students’ critical thinking skills in College EFL Classes: an empirical investigation
Authors: Li Qianmei , Li Yihan , Shen Yan 
Published: September 2020

Abstract
In view of the absence of critical thinking skills of college students, this research is aimed at implementing the debate instruction based on Paul-Elder Model in College English teaching for the improvement of college students’ critical thinking skills, and tests its effectiveness through a semester’s experiment. The results show that the implementation of debate instruction in College English teaching can significantly improve college students’ critical thinking skills, and the debate instruction based on Paul-Elder Model contribute to the whole dimensions of students’ critical skills, including clarity, precision, accuracy, significance, relevance, completeness, logicalness, fairness, breadth and depth.
Flow visualization over an Indian auto-rickshaw model
Authors: Abbey Saransh , Singh Pratyush Kumar , Singh Neha , Kannan B T 
Published: September 2020

Abstract
From the late twentieth century, spark-ignition engine powered Indian auto-rickshaw is treated as the most common mode of transportation for rural and urban area activities. This three-wheeler vehicle is found to be an economic mode of transport for shorter distances. This study focuses on the flow visualization over the vehicle using smoke based visualization technique. The visualization is achieved by using a monochromatic laser sheet on the vehicle with seeding particles at various operating conditions. This visualization study helps researchers to understand the external flow physics. The results in terms of flow pattern obtained with the visualization gives an understanding of the wake formation by the vehicle. The results also indicate the presence of complex flow around the vehicle.
Rotary vanes to increase turbulence in a can type combustor
Authors: Jesurajanishanth G , Arivazhagan A , Khandai Suresh Chandra 
Published: September 2020

Abstract
This project presents the design of a combustor with rotary vanes at the diffuser section and analyzing it’s turbulence and velocity characteristics. Rotary vanes with 2-blade, 4-blade and 8-blade configuration are analyzed and compared. The model with the better turbulent characteristics is selected and is then compared with the conventional combustor model with swirl. Cold flow analysis is carried out to understand the turbulence of air and the velocity fluctuations inside the chamber. In this study the attempt has been made by using CFD approach.
Drag measurement of an Indian auto-rickshaw model
Authors: Singh Pratyush Kumar , Singh Neha , Abbey Saransh , Kannan BT 
Published: September 2020

Abstract
Indian vehicle auto-rickshaw is considered as the most common and economical mode of transportation for day to day activities. It plays an important role in the automobile sector both in urban and rural areas. The present study is about external aerodynamics of the vehicle considered which was tested in a subsonic wind tunnel. The forces acting on the vehicle especially the drag component was measured for various operating conditions. The drag forces were measured by load balance that consists of a load cell which is calibrated against known loads. The results obtained with the model helps in the understanding of physics of the flow behind it. The results also suggest that the vehicle is moderately bluff to the flow and needs aerodynamics optimization.