bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Research on English Translation based on Computer Technology
Authors: Wu Zhenghao 
Published: February 2021

Abstract
With the rapid development of science and technology, computer technology has been applied to all walks of life, including English translation. Through computer technology translation, we can greatly improve the efficiency of translation production, which has an unprecedented impact on the language service industry. At the same time, with the rapid development of global economy, the economy and society put forward higher requirements for the translation industry, which requires us to constantly improve the quality and speed of translation. Therefore, in order to better English translation, computer science and technology has brought a significant basis for it. However, due to the limitations of computer language translation technology, we must adopt post editing method to adjust the machine translation, which will improve the accuracy of translation, such as computer aided technology (hereinafter referred to as CAT) software. First, this paper introduces the main role of computer-aided translation technology. Then, this paper analyzes the important principles of computer-aided translation software. Finally, some suggestions are put forward.
E-commerce company strategic management system based on balanced scorecard with Computer Aid
Authors: He Zhenhua , Ma Jinjing 
Published: February 2021

Abstract
Strategic budget management is an emerging enterprise management tool oriented to corporate strategic goals. It can guarantee the efficient cooperation between various departments of the enterprise on the basis of comprehensive planning of the limited resources of the enterprise. The application of the Balanced Scorecard in the e-commerce company’s strategic management system can guarantee the improvement of the effectiveness of the enterprise’s strategic management system. This paper starts from the strategic planning process of the strategic management system based on the balanced scorecard, the construction of the group management and control model and the group’s strategic support system with computer aid, the KPI indicator system in the strategic management system based on the balanced scorecard and the strategy based on balanced scoring. The implementation of the performance appraisal process was analyzed.
The Application of Computer Information Platform in the Construction of University Ideological and Political Service System
Authors: Chen Zhifang 
Published: February 2021

Abstract
Nowadays, the application of all levels of industry in society has the participation of computer information system. At this stage, the participation of computers and network technology in all aspects of our lives has become more and more obvious. In the process of reforming some ideological and political education systems in today’s schools, people do not realize how to construct some effective ways of students’ ideological and political thinking. Of course, in order to adequately respond to the reform measures of the school’s ideological and political service system, many schools have begun to propose integrating computer information technology into the establishment of an ideological and political system. As far as the current form is concerned, the so-called informatization platform itself does not have a very dazzling halo. However, it can bring a huge development and forward momentum to the school’s ideological and political education service system[1].
Application of Computer Virtual Technology in Basketball Training
Authors: Chen Zhihong 
Published: February 2021

Abstract
With the rapid development of information technology, various industries are facing great opportunities and challenges for upgrading, as is the sports industry. Combining the Internet of things, big data, artificial intelligence, VR/AR, 3D printing with sports products, stadiums and sports services will bring new changes to the sports fitness industry. Computer virtual technology is a new technology produced under the background of the all-round development of science and technology. This technology is mainly composed of sensing technology, computer technology, simulation technology and so on, so as to better simulate the real world. By simulating real vision and various actions, we can deepen the user’s understanding of something, feel all kinds of phenomena constructed by the virtual world, strengthen the communication between the user and the virtual environment, and feel more the connotation of the real world[1]. Athletes can interact with their own limbs and environment through computer virtual technology, which is the application of virtual method in real sports training, so that athletes can better exercise their sports skills and improve their sports ability.
RETRACTED: Traditional Chinese medicine orthopedic rehabilitation treatment for senile osteoarthritis based on the Big Data
Authors: He Zike , He Kaifei , Wang Shangzeng 
Published: February 2021

Abstract
Objective: To study and analyze the effect of traditional Chinese medicine orthopedic rehabilitation therapy on senile osteoarthritis from the analysis of big data. METHODS: Seventy elderly patients with osteoarthritis admitted to our hospital from March 2015 to March 2017 were enrolled. The grouping method is a random number table method, which is divided into an experimental group and a reference group, each of which is 35 cases. The patients in the reference group were treated with nimesulide orally, and the patients in the experimental group were treated with traditional Chinese medicine orthopedics. The clinical effects of the two groups were compared. RESULTS: The effective rate of treatment in the experimental group (97.14%) was significantly higher than that in the reference group (82.86%). The difference between the two groups was statistically significant (P<0.05). There were significant differences in VAS scores and JOA scores between groups, and P < 0.05. Conclusion: The treatment of senile osteoarthritis patients with traditional Chinese medicine orthopedics has achieved remarkable results. The quality of life of patients has been significantly improved, the treatment efficiency has been improved, and the pain of patients has been alleviated. It is worthy of clinical reference and further popularization.
Clinical Study on 320 Cases of Senile Osteoarthritis Treated by Traditional Chinese Medicine Orthopedics based on Big Data Analysis
Authors: He Zike , He Kaifei , Wang Shangzeng 
Published: February 2021

Abstract
Objective: To analyze the clinical efficacy of traditional Chinese medicine orthopedic rehabilitation in the treatment of senile osteoarthritis based on the analysis of big data. Methods: 640 elderly patients with osteoarthritis were randomly divided into control group and observation group. The patients in the control group were treated with celecoxib capsules. The patients with neonates were treated with traditional Chinese medicine orthopedic rehabilitation. The clinical efficacy of the two groups was compared. The pain and functional recovery were evaluated by VAS and JOY scores. RESULTS: There was no significant difference in VAS and JOY scores between the two groups (P>0.05). The VAS and JOY scores of the New Zealand patients were significantly better than those of the control group (P<0.05). The total effective rate of patients with neonatal observation was 93.3%, which was better than that of the control group (70.0%). The difference was statistically significant (P<0.05). Conclusion: The effect of traditional Chinese medicine orthopedic rehabilitation on senile osteoarthritis is better than that of celecoxib alone. It is worthy of clinical application.
The Ideological Education and Evaluation System of College Students Based on the Internet Environment
Authors: Luo Tingting 
Published: February 2021

Abstract
Today, the Internet environment has had a great impact on all aspects of college students and has played an indispensable role. The Internet is like a “double-edged sword”, which brings opportunities and challenges to ideological education. More and more universities attach importance to the networking of ideological and political education for college students. This paper expounds how to expand the mode of ideological education through the Internet platform and establish the work mechanism and evaluation system for the online ideological education.
Construction and Application of Smart Education Teaching Platform
Authors: Yang Hui 
Published: February 2021

Abstract
With the continuous development of science and technology, my country has gradually entered the era of big data. In this case, various Internet technologies and teaching software continue to appear and are widely used in classrooms. Therefore, this article discusses how to make better use of intelligent learning platforms in terms of big data to improve the quality of education and serve platform users. This system divides teaching work into basic modules and provides a network application platform for smart classrooms. Through the connection with the education cloud platform, it can identify the sharing of high-quality educational resources, expand its implementation and promotion, and use intelligent learning. The platform is the test group, and traditional education is the control group for all research fields and research. The research results show that the intelligent learning platform is a new type of service platform that has a certain impact on the traditional education model. However, from another perspective, the technology has improved the traditional education model in an innovative way. This model can be used to realize intelligent learning through the use of Internet technology, and can solve various problems in the field of education, increase the allocation of reasonable educational resources and significantly improve the quality of education.
Analysis and Research of Blockchain Technology in Audit System
Authors: Li Jun 
Published: February 2021

Abstract
Blockchain technology has attracted widespread attention from all walks of life due to its decentralization, openness and transparency, and data that cannot be tampered with. At the same time, it has a good development prospect in the accounting and auditing industries. This article is based on the consensus algorithm research experiment. In the network environment, computers will be attacked in many situations, which may cause unexpected behaviors of the computer and the network. The consensus algorithm can deal with these unpredictable behaviors. The experiment uses a questionnaire survey method, and the survey objects rank the importance of accounting informatization, the necessity and feasibility of applying blockchain technology and other related issues, and different scores form different results. The experimental data shows that it is necessary to analyze and build a credibility guarantee mechanism for audit information systems based on blockchain technology. Each aspect includes its own specific content and details, and an average score is obtained for each category of options. Let’s compare the importance levels of the four factors. The experimental results show that, overall, the average scores of the four factors are between 3.9-4.4 points, with little difference in importance levels. Audit information quality issues scored the highest at 4.37 points, followed by management control issues and security issues at 4.24 and 4.21 points respectively. Although blockchain technology in the audit system is still in the research and development stage, the application of blockchain in the audit industry is a major trend. Researchers are working hard to solve the problems of blockchain storage and confidentiality.
Crack Detection under Coating of Flow Passage Parts based on Adaptive Second Generation Wavelet
Authors: Wang Peng , Zhu Hongbo , Li Dongjiang , He Huchang , Qin Chengpeng 
Published: February 2021

Abstract
Cracks under coating of flow passage parts of hydropower station is a very serious fault, which can directly lead to fatigue fracture. This will directly affect the safety of the entire hydropower unit. The array eddy current testing method has been studied, and crack signals are found with a lot of noise. In order to improve the signal quality, adaptive second generation wavelet transform is applied to the array eddy current signal analysis to reduce the signal noise. A test block with some cracks under the coating was tested, and the tiny crack defect with size of 0.13mm × 0.5mm × 5mm was identified. The experimental results show that the array eddy current detection method based on adaptive second generation wavelet transform can effectively identify the cracks under the coating of flow passage components of hydropower station, with high detection accuracy and strong adaptability, and has good engineering application value.
Motivation Structure and Risk Prevention and Control of Youth Participating In Network Mass Disturbances in the Age of “We Media”
Authors: Zhao Jiahuan 
Published: February 2021

Abstract
This paper investigates and studies the motivation structure and risk prevention and control of contemporary youth in network mass disturbances. This study selected more than 1200 college students from 5 colleges and universities in Hebei province as the research objects through questionnaire survey and interview. Network group event is a special group event which is different from the common group event in the field and the subject and object of the event. The results show that the frequent occurrence of network mass disturbances is driven by internal motives and external causes. Based on this, this paper starts from the balance of government, youth and network operators. To explore the construction of a diversified network of mass incidents prevention and control system rational reference Suggestions.
Reform of College English Teaching Model under the Background of Artificial Intelligence
Authors: Gao Hui 
Published: February 2021

Abstract
Computers have been used in teaching for more than 30 years. With the development and productization of artificial intelligence technology to promote the rapid development of education informatization, Artificial Intelligence Assisted Language Learning (AIALL) is also under continuous development. This has also promoted the reform of college English teaching model. Artificial intelligence based on big data has changed the organizational form of teaching, the form of teaching resources presentation, the form of teaching evaluation, and so on. Therefore, it is particularly important to explore the college English teaching model under the background of artificial intelligence.
The Influence of Python on Logical Thinking and Analysis of Teaching Countermeasures
Authors: Li Ke 
Published: February 2021

Abstract
As a programming language that perfectly fits artificial intelligence and big data analysis technology, the Python language is simple and efficient, easy to learn and easy to understand, which can make students focus more on the problem itself than the details of programming technology, so as to effectively improve the students’ logical thinking ability to solve problems. This paper analyzes the characteristics and advantages of Python language, takes the computer network course as an example, and puts forward the countermeasure analysis to carry out Python programming teaching.
Application of Corpus-Based Text Statistics Analyzer in Sports English
Authors: Yu Beibei 
Published: February 2021

Abstract
The link between corpora and ESP is crucial and even more for some time to come, due to the current patterns of academic and professional mobility which create a need for ESP expertise and teaching materials. The problem in Sports English in China since 2004 is the lack of competent teachers and proper-leveled textbooks, which hindered the development of the major of Sports English greatly. This essay discusses four corpus-based online text analyzers to offer statistics of individual texts and vocabulary profile to help English teachers choose proper-leveled texts and modify materials to meet their needs in Sports English teaching.
Judicial Trials in the Context of Artificial Intelligence
Authors: Zhao Heyixi 
Published: February 2021

Abstract
With the development of artificial intelligence technology, the convenience it brings is significant, but it is also limited. The functionality of judicial trials is “subjective” and “irreplaceable”, while artificial intelligence as a new thing has the characteristics of “mechanization” and “programming” [1] Therefore, it is impossible and should not be possible to use artificial intelligence to build a trial stage artificial intelligence replacement. It cannot be reflected in the fact that the essential attributes of the two things deviate from each other, and their forced combination will only lead to the situation of doing their own things. It should not be embodied in the judicial trial agency as a dispute resolution agency. The public’s demands are merely demands on “people”, and the situation of replacing individuals only applies to situations where individuals are insufficient. Therefore, artificial intelligence should not replace judicial trials. The application of artificial intelligence in the judicial field should be limited to alternative jobs.
High Speed Moving Target Tracking Algorithm based on Mean Shift for Video Human Motion
Authors: Feng Zhanwei 
Published: February 2021

Abstract
As an important research field of computer vision, there are a lot of achievements of human action recognition in recent Most of the researches are confined to the daily gentle action of human, such as walking jogging, sitting down. In sports video there were many specific characteristics about human actions, such as the upside pose of human, high speed, moving viewpoint. For human motion characteristics of sports video, a highspeed moving target tracking algorithm was proposed. Mean shift was an effective tracking algorithm, which was employed to track moving object in video, but it loses object frequently when the tracked object in the video moves rapidly. We advanced an approach to tracking object moving rapidly, and it can work effectively when the object was in cluttered environment. Experimental shows that the proposed algorithm can improve the tracking effect of mean shift algorithm and effectively track high-speed moving target.
Hyperspectral Remote Sensing Image Classification Based On Deep Learning
Authors: Jiang Rui 
Published: February 2021

Abstract
In recent years, with the development of science and technology, in order to further explore the world, we have explored and studied remote sensing technology. As a new discipline, teleology has been widely studied and applied in the fields of spectroscopy, informatics, geography, environmental science and urban construction, and has become one of the most active fields of science and technology. However, both classifier and feature extraction are in the shallow level. How to extract deep features and make them more abstract and easy to classify is a hot issue in machine learning field. Therefore, through the study of different classifiers and various special cases, we find that the post-processing method proposed in this paper can alleviate this situation to a certain extent. When the number of hidden layers is 2, the overall classification accuracy of DBN model is higher. Experiments show that this method is better than the traditional deep learning method.
Study on the Marketing Strategy of “7 Days lnn” Based on the New Media Perspective
Authors: Su Lanlan , Fang Shihao , Lai Fan , Cheng Congxi , Duan Xiangyu 
Published: February 2021

Abstract
With the vigorous development of domestic economy and tourism industry & the increasing popularity of mobile Internet technology in hotel industry, the development speed of economical chain hotels is also greatly improved, and the market competition is becoming more and more fierce. As the representative of economical chain hotels, 7 Days lnn is facing severe challenges, but it is also full of unlimited development opportunities. Based on the investigation of the new media marketing of 7 Days lnn, this paper has analyzed the problems existing in the new media marketing of 7 Days lnn, and finally put forward the corresponding countermeasures.
Construction of Employment Ability Simulation Training System in Artificial Intelligence Era
Authors: Li Pinlin , Dou Yingying 
Published: February 2021

Abstract
Artificial intelligence has brought a short-term destructive substitution effect on the employment of college graduates. At present, the lack of employability development in colleges and universities is mainly manifested in four aspects: two-way choice of supply and demand, individual’s growth, vocational education and artificial intelligence environment demand. On the basis of employment intelligent module and as the guidance of individual’s growth needs, this paper constructs a graduate employment simulation training system for different levels, different jobs “work environment”, with the interaction of professional assessment and planning system, employment information intelligent system, career counseling.
Power System Clock Synchronization Method Based on Service Interoperability
Authors: Mei Qin , Wang Yisheng , Wang Ting , Tong Xing 
Published: February 2021

Abstract
With the development of power system in recent years, it is changing from the direction of smart grid. It is forming a system composed of a large number of intelligent devices with multiple features, producing a large number of heterogeneous and related data. However, there is the problem of information closure in the system, because different systems and equipment come from different manufacturers, and based on different standards, there will be information closure between each other. So it has become an important topic for the power industry to establish the relationship and form interoperability. In view of the above problems, this paper first proposes a service interoperability architecture, which is used to solve the problem of information closure and promote the efficient collaboration between multiple devices and businesses. At the same time, in the process of service interoperability, due to the real-time and deterministic requirements of data transmission, this paper studies the IEEE802.1AS clock synchronization protocol, analyzes the delay measurement principle and time synchronization principle in the protocol, proposes a clock synchronization method based on IEEE802.1AS and service interoperability, and proposes an OPC UA based clock synchronization method Finally, the proposed method is proved to be effective in power system.