bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: The Solution of Network Intellectual Property Infringement under the Background of Big Data
Authors: Wang Shuai 
Published: June 2020

Abstract
At present, big data applications have entered a new era. Compared with the network era, data storage and data transmission are the main content. The big data era is mainly based on data mining and data application. In the context of big data, intellectual property protection faces more severe challenges. To this end, this article proposes research on the solution of intellectual property rights infringement in the context of big data. This paper uses a combination of research methods such as literature sub-research and content analysis to conduct research. This paper finds that to resolve the infringement of online intellectual property rights in the context of big data, it is necessary to improve the system, strengthen network management, and form a social environment conducive to the operation of the intellectual property system. Support ideas, clarify measures, and strengthen law enforcement. In this era of online rampage, only by strengthening online supervision, establishing correct concepts, encouraging originality, and resisting piracy, can the origin of online intellectual property infringement be resolved.
Change of Psychology Teaching Methods in the Era of Big Data
Authors: Zhang Ping 
Published: June 2020

Abstract
In today’s highly competitive society, most people have different degrees of psychological problems. The development of psychology courses based on this has also received considerable attention. The integration of big data and education has promoted the reform of psychology teaching methods. However, influenced by many factors, psychology teaching methods in China are still traditional. The purpose of this paper is to study the main problems existing in the teaching methods of psychology courses in the era of big data, and to explore the specific strategies to promote the transformation of teaching methods with the support of big data technology. This article first to the era of big data and psychology course has carried on the summary of relevant, and briefly discusses the big data the significance of the development of psychology course, and then take in the form of questionnaire survey as the main experimental investigation on the teaching of psychology, according to the experimental results obtained conclusions about psychology course teaching, based on this, advances the transformation of the mode of teaching by means of big data technologies, establish efficient interactive teaching mode. The experimental results show that the existing teaching methods of psychology course result in low teaching effect, so we must reform the teaching methods.
Research on the Measurement of Manufacturing Servitization Level in Fujian Province Based on Big Data and Input-Output Table
Authors: Wu Dandan , Lin Qingjin 
Published: June 2020

Abstract
Under the background of a new round of adjustment and upgrading cycle of global value chain (GVC), manufacturing servitization is one of the important measures to improve the position of value chain. Therefore, this paper bases on the classification of the GVC status of the manufacturing industry in Fujian Province, using its latest data of the input-output table, through the matrix operation analysis of the complete consumption coefficient, concluding the servitization level of manufacturing in Fujian Province is fairly low, among which the manufacturing service input in the high position of GVC is slightly lower than that in the low position of GVC.
Resent Situation and Cultivation Strategy of Network Media Literacy of “Micro-blog and WeChat -Era” Youth Generation
Authors: Sun Qian 
Published: June 2020

Abstract
With the innovation of mobile internet technology and the popularization of smart phones, China enters a Micro-blog and WeChat Era. The government’s supervision of public opinion will also focus on micro-blogging, WeChat - messaging and other network media platforms. Youth is the main force of the emergence of network public opinion, and improving their media literacy is an important issue at present. This research provides countermeasures and suggestions for improving youth media literacy in the new era.
Application of Internet of Things Technology in Intelligent Orchard
Authors: Wang Zuliang , Yu Hongtao , Cao Chuanglue , Zhang Ting 
Published: June 2020

Abstract
In this paper, an internet of things (IOT) system of the intelligent agricultural is designed, and the system is described in detail. On this basis, taking kiwifruit orchard as an example, the architecture of the IOT of the intelligent orchard is designed, and the complete elements of each layer are designed in detail. The design scheme and architecture are simple and practical, which can be used as a reference for similar intelligent orchard design. The intelligent IOT system designed according to the scheme of this paper has important reference value for improving the level of orchard informatization, intelligence and standardization.
Teaching Effect and Improvement Model of College Basketball Sports Based on Big Data Analysis
Authors: Liu Yanping 
Published: June 2020

Abstract
Basketball has a large audience in colleges and universities(CAU) in China. College basketball has developed rapidly, and its attention has been increasing. It has promoted the disruptive change of Internet technology and brought unprecedented opportunities and challenges to competitive sports information systems. The purpose of this article is to study the effect and improvement model of college basketball sports teaching based on big data analysis (BDA). On the basis of systematically combing the characteristics, concepts, and development trends of big data, this study analyzes the teaching effects and improvement models of basketball sports in China’s CAU in the context of the era. The research results show that 60.8% of CAU in China currently use big data technology in basketball sports, which can promote the development of college basketball games, improve athletes’ level of competition, and enhance the enjoyment and interest of basketball games. In addition, 90.6% of college physical education teachers believe that teaching based on BDA can also effectively help the team’s daily training, arrange training plans for coaches and give guidance.
Optimization Application of Fresh Agricultural Products Efficient Logistics Distribution System from the Perspective of Big Data
Authors: Cui Xiaoning , Xie Chao 
Published: June 2020

Abstract
As a sunrise industry in the development of modern agriculture, the development of fresh agricultural products industry has a huge space. Because of its various categories, and planting all over the country, the logistics distribution problems. The idea of “Internet +” modern agriculture combines big data with fresh agricultural logistics. By analyzing the current situation and mode of logistics distribution of fresh agricultural products, we find out the weak links of fresh agricultural products logistics distribution, and analyze the best way of fresh agricultural products logistics distribution system by using big data technology, which can effectively reduce the wastage of fresh agricultural products in logistics and transportation. Provide optimization platform for logistics distribution between regions. It is expected to provide important theoretical and practical guidance for the development of modern logistics big data of fresh agricultural products.
Predictive Analysis of New Energy Vehicle Life Cycle Based On Logistic Model
Authors: Fang Jian , Shao Fang , Li Mingyue 
Published: June 2020

Abstract
This article uses (new energy vehicle or electric vehicle or hybrid vehicle or fuel cell vehicle or hydrogen energy powered vehicle or solar vehicle) as the search key, Based on the new energy vehicle invention patent data retrieved in the SooPAT patent search engine, The logistic model is used to analyze the life cycle of China’s new energy vehicle technology, to predict and analyze the technology, and to summarize the development stage of China’s new energy vehicle technology. Research shows that China’s new energy vehicle technology has begun to sprout from the early 1990s. After a 23-year technology introduction period, it entered the growth stage in 2014, entered a mature period in 2020, and is expected to enter a recession in 2026. Finally reveal the current status and future development trends of technology in this field in China.
Tourism Big Data Construction and Application Strategy Analysis -- Take Qiqihar Tourism Cultural Resources Publicity as an Example
Authors: Li Xiangkun , Tian Zhiwei , Tian Mingli , Han Yunfeng , Li Ang , Zhang Xuejuan , Yan Di , Chen Xinxin 
Published: June 2020

Abstract
With the rapid promotion of big data on the Internet, the construction of “big data” in all walks of life has begun to take root. With the continuous rise of smart scenic spots and smart tourism, it is possible to obtain massive tourism big data. The purpose of this paper is to analyze the construction and application strategy of tourism big data based on the promotion of tourism cultural resources in Qiqihar. First of all, it analyzes the advantages and applicability of spark big data platform, and expounds the system module functions from three main aspects: background management module, information service module and big data analysis module. After studying the algorithm of scoring function, it selects the most commonly used centralized data storage engine on MySQL 5.6.17 for research and test. The experimental results show that the InnoDB storage engine takes 10 to 100 times more time than other engines, and the archive storage engine has the advantages of compressing storage and saving space, which is very suitable for storing visitors’ access information. The platform collects the cultural resources of Qiqihar, a new tourism city, through fine classification and index of resources, graphic and multimedia.
Export Effect of FTA - Based on Smart Economy
Authors: Guo Chuandao 
Published: June 2020

Abstract
In the Sino-US trade war, China’s exports have been affected to a certain extent. China needs to develop smart economy to eliminate the crisis. In the uncertain situation of Sino-US trade relations, how to maintain the driving force of foreign trade for economic growth has become the top priority of China’s trade policy. It is a good choice to seek new market and open up the original market. Establishing regional trade agreements with trading partners is a good trade policy tool. In order to examine the impact of FTA on China’s exports, this paper selects the data from 2000 to 2011 to test the effect of FTA signed by China on China’s exports. In this paper, the least square estimation method is used. The results show that the FTA signed by China has promoted China’s exports by more than 50%.
Development and Thinking of MOOC in the Era of Big Data
Authors: Li Huan 
Published: June 2020

Abstract
With the rapid development of the Internet and the widespread application of cloud computing-based information storage and data mining technologies, the big data hidden behind information platforms is no longer silent, and there are huge treasures behind seemingly worthless flowing data More and more people are paying attention. This article studies the status quo of MOOC under the background of big data, and puts forward effective suggestions to promote the sustainable development of MOOC.
Application of Big Data in the Management System of “Second Classroom Education” Platform in Universities
Authors: Cao Aiping , Xue Chunmei , Zhu Wanping 
Published: June 2020

Abstract
Second classroom education, as an important part of expanding education, is an important part of the talent training program and an important way to reform the talent training model. With the advent of the era of big data, the second classroom education in colleges and universities uses the corresponding artificial intelligence model and information technology system, thereby greatly improving the management function of the second classroom education. This essay explains the importance of a “second classroom education” platform management system in the era of big data, and analyzes the current situation and problems of system management. It has been proved that the use of big data is helpful to guide and help college students to participate in the second classroom activities efficiently, so that the ability of college students is fully developed.
Research on the Construction of Post Competency Model of Informatization Talents Based on Bimodal IT Mode Under the Background of Digital Transformation——Take a Power Grid Company as an Example
Authors: Hu Bo , Wang Jianhong , Yang Ying , Mao Chengjie , Li Ying 
Published: June 2020

Abstract
Under the background of digital transformation, the rapid development of information technology promotes the transformation of business model of power grid enterprises. The demand difference between traditional business and new business for information construction is gradually significant, which puts forward new requirements and challenges for the ability of information talents. Based on the theory of Bimodal IT and the theory of post competency model, combined with the current situation and characteristics of the informatization development of a power grid company, this paper uses literature research, workflow analysis, expert interview, questionnaire survey and other methods to build the traditional mode and the new mode of Bimodal IT talent post competency quality model, and analyzes the application of the model in the power grid enterprise, so as to It will lay a foundation for the construction and training of information professionals in the future power grid enterprises.
The Influence of Music Appreciation Courses on The Formation of College Students’ ideological Quality under The Environment of Big Data
Authors: Cui Yong 
Published: June 2020

Abstract
At present, with the deepening of China’s education system reform, China’s music education is facing a rare opportunity to develop, music education developing the students’ quality comprehensively, promoting the construction of socialist spiritual civilization will play a greater role. This article will music combined with large data environment in the school, to explore big data, and the practicality of music education in education, some problems and try to combine big data with innovative ideas to solve these problems, in order to enrich the content of music of music on college students’ thought positive impact of sustainability. Finally, after expounding the relevant concepts and theories, this paper demonstrates the feasibility of bringing positive influence of music appreciation course on the ideological quality of college students behind the use of big data technology from the aspects of music education methods, approaches, evaluation, contents and objects.
Paradigm of Historiography, Based on Historical Methodology of Information
Authors: Li Wenping , Jing Jing 
Published: June 2020

Abstract
Based on the analysis of the application of the paradigm in the study of history and the characteristics of information technology, this paper expounds the advantages of the paradigm in the study of history in information era. Using the methods of document analysis, content analysis and case study, this paper makes an in-depth analysis concerning the changes of historical research methods brought by information technology. It is believed that the use of information technology makes the framework of historical research more reasonable, the data analysis more accurate, and the protection and display of historical data more intuitive. In addition, the paper explores the promoting effect of the research method on historiography, and this new method is the supplement of the research paradigm of new historiography. paper also discusses the unique advantages of historical research methods such as historical digitization, film and television history, big data technology and quantitative database.
Psychological Resilience Characteristics and Improvement Strategies of “Internet plus” Engineering Normal College Students
Authors: Gong Zhihui 
Published: June 2020

Abstract
Psychological resilience is a necessary psychological quality for engineering normal college students to adapt to the social development and personal healthy growth. To explore the characteristics of “Internet plus” engineering and technical normal college students’ psychological resilience, we can use Hu Yueqin and Gan Yiqun’s Psychological resilience Scale Chinese Adolescent(RSCA) compiled in 2008 to conduct a questionnaire survey, which consists of five dimensions: Goal focus, emotional control, interpersonal assistance, family support and positive cognition. Taking 320 engineering normal college students as the object of study, this paper analyzes some characteristics of psychological resilience of engineering technology normal college students at present and finds out that the characteristics of the current engineering technology normal college students are as follows: There was no significant difference in sex, major and birthplace among engineering and technical normal college students, but the positive cognition and overall psychological l resilience of the only child were significantly lower than that of the non-only child. Moreover, this paper discusses the strategies to improve the psychological resilience of engineering technology normal college students from four aspects: society, school, family and individual.
Current Situation and Coping Strategies of College Students’ Academic Stress Based on Internet Background
Authors: Gong Zhihui 
Published: June 2020

Abstract
In order to investigate the current situation of college students’ academic stress under the background of the Internet and find out the coping strategies to relieve the academic stress, 313 college students in Jilin Province were tested by random sampling method, and the obtained data were analyzed and processed by spss24.0. The results showed that college students experienced higher academic stress under the background of the Internet. Specifically, the academic stresses experienced by college students are, in descending order, the stress of academic competition, the stress of academic prospects, the stress of academic burden, the stress of family expectations, the stress of learning results, the stress of learning atmosphere and the stress of learning conditions. In order to relieve the academic stress of college students, coping strategies can be formulated from four aspects: government, school, family and individual.
Influence of New Media Technology on the Reading Habits of Contemporary College Students
Authors: Ding Mingxiu 
Published: June 2020

Abstract
As the continuous development of society, the level of science and technology in our country is constantly improving, the development speed of new media technology is constantly accelerating, and the influence on people’s production and life is becoming more and more tremendous. New media technology has influenced people’s reading. Different from paper reading, new ways of reading emerge in an endless stream. New media reading and traditional reading forms blend with each other, creating a new reading pattern, which has both advantages and disadvantages. In order to ensure the quality of college students’ reading, relevant parties should deeply analyze the influence of new media technology on college students’ reading habits, and actively exert the advantages of new media technology to ensure the quality and effect of college students’ reading.
Utilizing Seasonal ARIMA Model for price of live pig in Henan
Authors: Guo Shumei , Guo Jie , Li Xinna , Yang Jiandong 
Published: June 2020

Abstract
In this paper, the SARIMA model is used to analyze the monthly pig price data of Henan Province from 2005.01 to 2019.10, identify the model, and predict the price in short time. It’s show that the model fits well.
Innovation of Hidden Ideological and Political Education Path of College Students from the Perspective of New Media
Authors: Wang Shengli 
Published: June 2020

Abstract
As for the education of college students, we should make full use of the advantages of educational resources of new media technology. This paper aims to study the innovative path of college students hidden ideological and political (IAP) education from the perspective of new media. First of all, this paper conducts theoretical research on new media and recessive IAP education, and then expounds the feasibility, feasibility, and innovation path of developing and using new media resources in recessive IAP education in colleges. Finally, the random survey of students, according to the questionnaire, statistical data. Experimental results show that 32.47% of college students frequently use new media technology, 51.8% use it occasionally, and 15.73% never use it. In addition, 91.92% of 693 college students thought that recessive IAP education was needed; 7.36% thought it could be tried; 0.72% thought it was unnecessary. From this we can see that the hidden IAP education of college students has generally received the attention of students. Colleges should adopt the form of implicit education that students are willing to accept.
Path of Community Education with Chinese Feature from the Perspective of Smart City
Authors: Zhou Jieqiong 
Published: June 2020

Abstract
Urban communities are a concentrated gathering place for urban resident. The healthy and orderly development of urban communities is inseparable from the healthy and effective development of Education with Chinese Feature in urban communities. This article uses a combination of multiple research methods to view the smart city. The path of community Education with Chinese Feature is analyzed and combined with reality, the problems and reasons existing in the current path of community Education with Chinese Feature are pointed out, these problems and reasons are analyzed, and relevant solutions are proposed. The research in this paper finds that there are many problems in the path of Education with Chinese Feature in the community from the perspective of smart cities. The reasons for these problems are also diverse. Therefore, this article proposes some relevant solutions. I hope that the research in this paper can give the community Education with Chinese Feature provides some references.
Empirical Analysis on Foreign Economic Trade of Smart City under the Background of Free Trade Agreement
Authors: Zhang Wenli , Zhao Yao , Lin Fuqiang , Zhao Feier 
Published: June 2020

Abstract
Taking the construction of smart city in Yantai as an opportunity, this paper analyzes the current situation of foreign trade under the background of free trade agreement, explores the main factors affecting the level of trade, and puts forward feasible Suggestions for the development of foreign trade in Yantai based on the construction of smart city. Through the analysis of the trade flow between Yantai and 13 major trading countries(regions), the time-varying attenuation stochastic frontier gravity model is constructed to explore the main factors affecting Yantai’s foreign trade, and the total trade efficiency of Yantai is analyzed. The research shows that the total trade efficiency presents an overall increasing trend, and the trade and population size of Yantai have a significant impact on the trade flow. In the process of building a smart city, the planning and integration of Yantai’s foreign trade should be carried out from various aspects to further improve the trade efficiency.