bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Ways of College Mental Health Education Based on Big Data
Authors: Zhang Xiaoxiao , Jia Suning 
Published: April 2021

Abstract
The advent of the era of big data(BD) has imperceptibly changed our life, work and study. For CS, the era of BD has created a new social environment. Under the current situation, there are new opportunities and challenges for the development of college students(CS)’ mental health education(MHE). In the process of MHE, we should establish and apply BD guarantee mechanism for quantitative research. We should use BD to carry out MHE for CS, and explore new ways of CS’ Psychological Education under the background of BD era. As an important part of Ideological and political education, MHE in Colleges and Universities(CAU) has been widely concerned, especially the mental health problems of CS. The results show that 66.2% of the students and teachers are not satisfied with the MHE. It is necessary to reform and innovate the methods of health education. Based on the characteristics of BD era, we analyze the impact of BD era on CS’ MHE. This paper puts forward the strategy of CS’ MHE, in order to improve the effectiveness of psychological education, and then through the innovation and reform of school MHE methods, better adapt to the development of education informatization.
International Trade Barriers and Countermeasures of Chinese Medicinal Materials Based on Big Data
Authors: Yang Jurong , Zhao Yonghong , Wan Lili , Chen Hua 
Published: April 2021

Abstract
With the development of global big data and trade liberalization, tariff barriers are gradually weakened, while technical trade barriers, mainly in the form of technical regulations, standards, and conformity assessment procedures, are constantly strengthening. Affected by this, in recent years, my country’s traditional Chinese medicine industry has also suffered technical trade barriers from various countries, and the export of Chinese medicine has been seriously affected. In this regard, the purpose of this article is to study the international trade barriers and countermeasures of Chinese herbal medicines based on big data. This article first expounds the meaning of technical barriers to trade in traditional Chinese medicines, and classifies them according to the form and substance of technical barriers to trade in traditional Chinese medicines. The experimental results indicate that an anti-technical trade barrier service system for the Chinese medicine industry must be established as soon as possible. The industry association must give full play to its communication and coordination role, reduce the number of Chinese medicinal materials rejected by foreign countries to less than 31 batches, and provide suggestions for the government and enterprises. Innovative ability, establish the concept of quality management, and face the technical trade barriers of traditional Chinese medicine with a positive attitude.
Teaching Mode of Psychology and Pedagogy in Colleges and Universities Based on Artificial Intelligence Technology
Authors: Jia Suning , Zhang Xiaoxiao 
Published: April 2021

Abstract
At present, artificial intelligence(AI) technology has penetrated into all aspects of the education field, and the teaching system has been reformed. In the background of AI, deep learning, personalized learning and human-computer collaborative learning have gradually become the mainstream learning methods. The change of learning style directly promotes the transformation of curriculum and teaching paradigm. This paper analyzes the current situation of the use of AI technology in the teaching mode of psychology and Pedagogy in Colleges and universities, and puts forward the research on the teaching mode of psychology and Pedagogy in Colleges and Universities Based on AI technology. In this paper, 290 teachers and students were investigated and analyzed, and their recognition of AI technology reached more than 90%. This paper makes a comparative analysis on the satisfactory learning environment, learning methods and learning effect after the use of AI in psychology teaching, and discusses and analyzes the results. It also puts forward the use suggestions of AI in psychology teaching, which provides guarantee for the development of intelligent teaching system. The research in this paper is of great significance for the further integration and development of the two.
RETRACTED: Problems of Ideological and Political Education of College Students in the Era of Big Data
Authors: Gao Qiuli , Ai Liqin 
Published: April 2021

Abstract
The ever-changing rules and regulations, teaching systems and teaching methods of world education ensure great changes in the education system.In view of the practical problems existing in the construction of the rule of law culture in colleges and universities, it is necessary to realize the mufti-disciplinary, dimensional and multi-word collaborative innovation of integrating the rule of law culture into the ideological and political education of college students, break the original boundaries and constraints, truly achieve coordinated operation of departmental functions, integrated development of mufti-disciplines and effective participation of social resources, and comprehensively promote the new development of ideological and political education of college students. Under the guidance of collaborative innovation, we should grasp the concrete working logic in the practical construction, and make it clear that the construction of legal culture in colleges and universities is to adhere to the fundamental educational idea of “cultivating people by virtue”, integrate the concept of legal culture into ideological and political education, pursue the value orientation of legal culture, take socialist core values as the logical starting point, realize the main position of education from theoretical level to practical level, and make every effort to build a new pattern of ideological and political education for college students.The results show that: the number of students returning to the dormitory is the highest when the entrance guard is 20:50-21:10, and the lowest when the entrance guard is 17:50-18:20. The percentage of the students returning to the dormitory during the period of 13:40-13:55 is higher than that of the students in the period of 11:50-12:20.
Face Image Feature Extraction based on Deep Learning Algorithm
Authors: Kuang Qing 
Published: April 2021

Abstract
In recent years, due to the rapid development of computer technology, artificial intelligence technology in the computer field has begun to integrate into people’s life, and facial recognition, as a unique biometric recognition method, is the core of artificial intelligence technology. Based on this, this paper discusses the local feature extraction and global feature extraction based on the deep learning algorithm, and proposes a training classification method based on the deep learning model combined with local pattern and GLQP representation feature extraction algorithm. In this paper, the local quantization method is used to input the data set preprocessed by the filter into the network. The depth of CNN network is selected as 4 layers, and the network is trained to produce high-resolution features. Experiments show that the accuracy of the trained deep network model is 92.2% in the test set. Therefore, compared with the traditional methods, deep learning has the advantages of powerful visualization and automatic face feature extraction, overcomes the shortcomings of deep learning model in the process of shallow feature learning, and shows higher recognition efficiency and generalization.
Reflection on Teaching Research of English Applied Linguistics Based on Big Data
Authors: Tao Yuanyuan 
Published: April 2021

Abstract
The traditional English teaching is mainly dominated by the teacher and instilled in teaching. The students trained by this teaching mode have a low ability to acquire knowledge, and they often become dumb when they communicate with each other. With the continuous development of society, big data has been applied to all aspects of our life, constantly changing our existing education mode. Based on this, this paper establishes the teaching platform of English applied linguistics, and combines the teaching of English Applied Linguistics with big data in combination with the current teaching situation of English applied linguistics. In this paper, the students of grade 2020 are used as the control group, and the network teaching platform based on big data is used for teaching. The control group is the students of grade 2019, and the traditional teaching mode is used for teaching. More than 90% of the students’ oral ability can be improved by more than 90% of the students’ oral English in 2020.
The Design of Concrete Structure Durability Based on Genetic Algorithm is optimized
Authors: Shen Li , Yang Xueqing 
Published: April 2021

Abstract
In the construction of basic projects, there are still very serious problems, especially in the extremely harsh climate of construction, the durability of concrete will be affected by many uncontrollable factors. It not only increases the difficulty of engineering design, but also brings great challenges to the operation cycle of basic engineering. Therefore, the purpose of this paper is to optimize the design of concrete structure durability based on genetic algorithms. From the point of view of building safety, this paper focuses on the application of concrete in China’s architecture and the solution of defects. With concrete structure durability optimization as the specific research object, from the aspect of institutional durability, genetic algorithms are used for analysis and simulation. The experimental results show that concrete durability can be optimized by the method used in this paper, and it can be cured by about 20% compared with the previous method.
Optimal Design of Computer Network Security Performance Based on Genetic Algorithm
Authors: Chen Fengfeng 
Published: April 2021

Abstract
With the current implementation of my country’s reform and opening up, a large number of advanced concepts have been introduced for domestic science and technology, the purpose is to gradually optimize the security performance of domestic computer network (CN) systems. Network security cannot be guaranteed and the development process of CNs cannot be guaranteed. Therefore, people apply genetic algorithms to the innovation and development of CN security performance and obtain more optimization benefits. CN attack technology is diverse and concealed, which makes it difficult to be detected, seriously endangering CN security and accurately identifying network abnormalities. In order to overcome the shortcomings of traditional network security and the low detection accuracy of anomaly detection technology, a genetic algorithm-based support vector machine-based network security performance optimization method was developed. This article first reviews the research and development of CN security systems at home and abroad, summarizes the main problems currently facing the research field of CN security systems, and introduces the main performance optimization technologies, aiming at the current existing CNs The ubiquitous performance shortcomings and problems of security systems, based on the in-depth analysis of the characteristics of network attacks and intrusions, have carried out a more systematic study of the genetic algorithm theory. The experimental results show that the network anomaly detection accuracy of the least square support vector machine classifier based on genetic algorithm optimization is high and the effect is good, which provides a reliable guarantee for the optimization of network security performance.
An Energy Consumption Model of Electric Vehicle based on Neural Network
Authors: Li Guanfa 
Published: April 2021

AbstractWith global warming, energy crisis and air pollution in the city is increasing, energy saving and emission reduction situation facing traffic field is becoming more and more serious. Combined with the research results related to the establishment of energy consumption model of ideas, this paper determines the energy consumption of electric vehicle model by using the running data. At the same time, the acceleration will be divided into acceleration and deceleration and hook speed condition according to the running condition for the detailed description of the relationship between energy consumption rate and the electric vehicle speed and acceleration, and the energy consumption models are established. The energy consumption rate showed a rising trend with increasing acceleration at the same speed. From the overall analysis, the peak energy consumption rate in speed and acceleration are part of the larger, and energy consumption rate has remained low when the acceleration is less than or equal to zero parts.
RETRACTED: Design of College Physical Education Teaching System Based on Artificial Intelligence Technology
Authors: Wang Ming 
Published: April 2021

Abstract
In recent years, with the deepening reform of domestic education, the education mode of education mode is changing. The physical education teaching system based on artificial intelligence technology can not only improve the work efficiency of the management department, but also promote the construction of digital, information and intelligent School Park. In this paper, college physical education curriculum as the center, artificial intelligence technology as the research direction, put forward the introduction of artificial intelligence into physical education, through the construction of agent layer and data service layer to achieve personalized teaching. By comparing the results of the control group and the experimental group after the experiment, and through the investigation of the experimental group students, the system improved the students’ sports performance to a certain extent, the experimental group compared with the control group, the average score increased by 3%, improved the students’ interest in sports.
College English Assistant Teaching System Based on Artificial Intelligence
Authors: Wang Dapeng 
Published: April 2021

AbstractWith the development of information explosion and education reform, traditional education is facing great challenges. It is imperative to reform teaching methods and means. As a new teaching method, artificial intelligence technology has been widely used in college English teaching. The system receives information, processes it, and feeds back the results, that is, man-machine conversation. With the rapid development of network and multimedia technology, Teachers should combine network and multimedia technology to improve the diversity and interest of English teaching, so as to improve the quality of English teaching. This paper studies the present situation of English teaching at home and abroad, finds out the advantages and disadvantages of English teaching resources in China through literature retrieval, interview and questionnaire survey. Under the guidance of constructionist teaching theory, humanistic education theory and developmental evaluation theory, this paper analyzes the advantages and disadvantages of English teaching resources in China based on the development characteristics of contemporary college students and the contents of current college English courses. According to the teaching principle of “student-centered, process oriented, communication oriented, people-oriented”, this paper analyzes the advantages and disadvantages of domestic English teaching resources The results show that: from the perspective of the purpose of College English learning, to improve students’ comprehensive ability and quality, the proportion is the highest, accounting for 26%.
Big Data Processing Technology in Film and Television Post Production
Authors: Xu Qianqian 
Published: April 2021

Abstract
Nowadays, the wave of digitization, networking and informatization is sweeping the world, which makes the visual image become an important way of communication and transmission of global culture. The purpose of this paper is to analyze the application of big data processing technology in film and television post production. The distributed computing power of MapReduce is used to extract the content features of video images, construct corresponding indexes, and store and retrieve them in HBase database according to the indexes to form a big data processing platform for video images. This paper deeply discusses the framework related theory as the support of big data processing technology in film and television post production, analyzes the common algorithms in nonlinear editing system, discusses the mirror effect monorail and double track special effects in video special effects, and makes the realization effect of each kind of special effects in the space domain, and makes some special effects among them, The implementation of compressed domain is discussed. In this paper, through the application of experimental video big data processing technology to the film and television post production of various possibilities, and draw the following conclusions: in extreme cases, the stunt tree becomes a one-dimensional linear structure, using traditional parallel topology sorting, the device parallelism is 0, and using pipeline scheduling, because of breaking the sequence between frames, can play a relatively large parallelism.
Automatic Correction Service System for English Composition based on Big Data
Authors: Ou Guofang 
Published: April 2021

Abstract
With the rapid development of science and technology, big data is gradually being applied to the field of English writing teaching. On this basis, an automatic correction system is developed to automatically evaluate and feedback students’ compositions. This has become the future of feedback research and development Directions and trends. Writing is a cyclical creation process. The correction and feedback of composition is very important in writing teaching. However, in traditional teaching, due to the heavy workload of teachers, it is difficult to give feedback sentence by sentence, and there may also be inefficient feedback. In view of this, it is necessary to conduct an in-depth discussion on English composition based on automatic correction system, and on this basis, explore the automatic correction service system for English composition based on big data, so as to provide inspiration and reference for the evaluation of English writing teaching. The study found that the automatic correction service system came into being, which made up for the shortcomings of composition feedback in traditional teaching. Moreover, the automatic correction service system for English composition based on big data has many advantages compared with teacher correction, and it can accurately provide Students point out errors in writing, which can reduce teachers’ workload and improve teaching quality. In addition, this article also summarizes the shortcomings of the automatic correction service system and puts forward suggestions in order to better apply the automatic correction service system to English writing teaching.
The Strategy of Optimizing Quality Management on Supply Chain with Six Sigma Management Method in the Era of Big Data
Authors: Lv Dexin , Li Zhe 
Published: April 2021

Abstract
With the increasingly cutting-edge market competition, it is difficult to form long-term advantages for enterprises by solely relying on low cost. Middle and high-end quality customers prefer product quality in decisions for .purchasing. Enterprises can establish a good brand image, obtain high returns through the dependence on quality. Through quality management, enterprises obtain continuous improvement and economic benefits will be continuously increased. Six Sigma management is widely used in quality management in enterprises. It is a management method proposed by MOTOROLA, which can effectively improve work efficiency and product quality. Six Sigma management designs and supervises each production process and business process to achieve maximum customer satisfaction with minimum losses and improve corporate profits. This paper discusses the application strategy of Six Sigma management in enterprise supply chain quality management.
Research Progress of Decitabine in the Treatment of Drug Resistance to Myelodysplastic Syndrome Based on the Information of Literature Database
Authors: Li Yan , Deng Lijuan , Li Renpeng , Liu Bei 
Published: April 2021

Abstract
Objective: To summarize the progress of drug resistance in the treatment of myelodysplastic syndrome with Decitabine. Methods: To review the mechanism of action of DAC, the mechanism of action of DAC in the treatment of MDS resistance and the treatment options after drug resistance based on the reference to the relevant literature from domestic database. Results: As the demethylated drug, Decitabine (DAC) can reverse abnormal DNA methylation and thus prolonging the survival time of patients with MDS. However, some studies have found that not all patients can benefit from it, and even some patients may develop drug resistance. However, the mechanism of DAC resistance is not clearly discovered. After DAC failed to treat MDS, demethylated drugs can be replaced in the treatment of some patients. Conclusion: DAC has a significant effect on MDS, but the drug resistance rate is relatively high. The mechanism of drug resistance is still unclear, which is worthy of close attention of clinicians. In-depth study on the mechanism of drug resistance can better prolong the patient’s survival time and improve the patient’s quality of life.
Comparative Study on “Sentence Rewriting for Semantic Parsing” and “Graph-Based Translation Via Graph Segmentation”
Authors: Tian Ying 
Published: April 2021

Abstract
Machine translation is universally discussed by people worldwide nowadays along with the developments of computer science and artificial intelligence, however, sentence parsing and the translation errors between original language to target language are still difficult problems during the translation. This essay illustrates the main points of the two articles both of which concentrate on the methods to enhance the precision rate and accuracy of semantic parsing and translation, and makes a comparison between them. Even though these articles can increase the accuracy of translation, some of the backwards still exist and they are proposed to make the articles improved with their objectivity and precision.
Design and Acceleration of Humanoid Robot Controlled by Stm32
Authors: Ren Xinyi , Yang Jixiao , Li Yuanchen 
Published: April 2021

Abstract
With the development of the industrial internet, the comprehensive application of big data, the internet of things and artificial intelligence are becoming quietly extensive, and they connect physical things to the digital world tightly. Being smart and intelligent has become one of the most important directions of future social development. As an agent, robots will be widely utilized in every corner of society, and the robot era has come quietly.
This paper mainly studies how to let the robot walk according to the prescribed route as a person. Our innovation points are as follows: Firstly, compared with the traditional packaging robot, the steering gear of the legs is similar to that of normal people, and the hands, arms, and heads can also cooperate in the march, just like normal people. Tracking, individual turns, and special gestures can be achieved. Under the combined action of the threshold, CCD, sensor, and 12 steering gear, the robot can complete the patrol walk at a fast speed.