In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and improve English language practice ability. Therefore, cultivating college students' English reading ability is a pivotal element in college English teaching. This study will focus on the application of clustering algorithm based on big data framework in the evaluation of college students' English reading ability, aiming at exploring and establishing an effective evaluation model to promote the improvement of college students' English reading ability and academic achievement.
{"title":"Application of Clustering Algorithm in the Evaluation of College Students' English Reading Ability Under the Framework of Big Data","authors":"Yanhui Wang","doi":"10.4018/ijwltt.349132","DOIUrl":"https://doi.org/10.4018/ijwltt.349132","url":null,"abstract":"In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and improve English language practice ability. Therefore, cultivating college students' English reading ability is a pivotal element in college English teaching. This study will focus on the application of clustering algorithm based on big data framework in the evaluation of college students' English reading ability, aiming at exploring and establishing an effective evaluation model to promote the improvement of college students' English reading ability and academic achievement.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores online self-regulated learning skills among high school students in three schools in China's EAST City Y using questionnaires. Results reveal the online self-regulated learning skills of high school students are positioned at an intermediate level, showcasing noteworthy disparities across distinct cohorts of high school students. Specifically, female students, urban residents, high-achieving students, and senior students (Grade 12) manifest distinct advantages in terms of online self-regulated learning aptitude. Conversely, male students, rural residents, students with comparatively lower academic achievements, as well as students in Grade 10 and Grade 11, evince limitations in online self-regulated learning skills. Additionally, Moderate internet use enhances high school students' online self-regulated learning; excessive or insufficient use hampers skill development. Future research should expand the sample to diverse regions and cultures to enhance generalizability.
本研究采用问卷调查的方式，探讨了中国东隅 Y 市三所学校高中学生的在线自我调节学习技能。结果显示，高中生的网络自我调节学习能力处于中等水平，不同群体的高中生之间存在显著差异。具体来说，女生、城市居民、成绩优秀的学生和高年级学生（12 年级）在网络自我调节学习能力方面表现出明显的优势。相反，男生、农村居民、学习成绩相对较差的学生以及 10 年级和 11 年级的学生在网络自我调节学习技能方面则表现出局限性。此外，适度使用互联网能提高高中生的在线自我调节学习能力，而过度使用或不充分使用互联网则会阻碍技能的发展。未来的研究应将样本扩大到不同地区和文化，以增强普适性。
{"title":"A Survey on High School Students' Online Self-Regulated Learning Skills","authors":"Bing Liu, Jing Liu, Qianrong Yang","doi":"10.4018/ijwltt.347664","DOIUrl":"https://doi.org/10.4018/ijwltt.347664","url":null,"abstract":"This study explores online self-regulated learning skills among high school students in three schools in China's EAST City Y using questionnaires. Results reveal the online self-regulated learning skills of high school students are positioned at an intermediate level, showcasing noteworthy disparities across distinct cohorts of high school students. Specifically, female students, urban residents, high-achieving students, and senior students (Grade 12) manifest distinct advantages in terms of online self-regulated learning aptitude. Conversely, male students, rural residents, students with comparatively lower academic achievements, as well as students in Grade 10 and Grade 11, evince limitations in online self-regulated learning skills. Additionally, Moderate internet use enhances high school students' online self-regulated learning; excessive or insufficient use hampers skill development. Future research should expand the sample to diverse regions and cultures to enhance generalizability.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As Internet technology evolves, distance learning emerges as a pivotal mode of education. In music education, vocal teaching faces limitations in traditional face-to-face methods. This paper explores the advantages of Internet-based remote vocal music teaching and proposes a new mode leveraging an online platform, multimedia technology, and real-time interaction. The study assesses its impact on theoretical knowledge, vocal skills, singing proficiency, satisfaction, and improvement. Results demonstrate the effectiveness of Internet-based remote teaching, overcoming geographical barriers and providing flexible learning opportunities. Multimedia tools enhance skill demonstration, making learning more intuitive. The study reveals that Internet distance vocal teaching rivals traditional methods in improving singing skills and outperforms in teaching music theory. Moreover, students express higher satisfaction with this innovative approach, establishing it as a promising mode in vocal music education.
{"title":"A New Model of Vocal Music Teaching in the Context of Internet Distance Learning","authors":"Xiaochen Zhang, Junkai Zhang","doi":"10.4018/ijwltt.348336","DOIUrl":"https://doi.org/10.4018/ijwltt.348336","url":null,"abstract":"As Internet technology evolves, distance learning emerges as a pivotal mode of education. In music education, vocal teaching faces limitations in traditional face-to-face methods. This paper explores the advantages of Internet-based remote vocal music teaching and proposes a new mode leveraging an online platform, multimedia technology, and real-time interaction. The study assesses its impact on theoretical knowledge, vocal skills, singing proficiency, satisfaction, and improvement. Results demonstrate the effectiveness of Internet-based remote teaching, overcoming geographical barriers and providing flexible learning opportunities. Multimedia tools enhance skill demonstration, making learning more intuitive. The study reveals that Internet distance vocal teaching rivals traditional methods in improving singing skills and outperforms in teaching music theory. Moreover, students express higher satisfaction with this innovative approach, establishing it as a promising mode in vocal music education.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a four-quadrant clustering technique. The AIM model delineates student investment into four quadrants based on their time and energy commitment to academic pursuits, distinguishing between result-oriented and process-oriented investments. The findings reveal that the four-quadrant method surpasses machine learning clustering in predictive accuracy, highlighting the robustness of manual feature engineering. The study's significance lies in its potential to guide educators in designing targeted interventions and personalized learning strategies, emphasizing the importance of process-oriented assessment in education. Future research is recommended to expand the sample size and explore the integration of deep learning models for validation.
{"title":"Manual Label and Machine Learning in Clustering and Predicting Student Performance","authors":"Mengjiao Yin, Hengshan Cao, Zuhong Yu, Xianyu Pan","doi":"10.4018/ijwltt.347661","DOIUrl":"https://doi.org/10.4018/ijwltt.347661","url":null,"abstract":"This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a four-quadrant clustering technique. The AIM model delineates student investment into four quadrants based on their time and energy commitment to academic pursuits, distinguishing between result-oriented and process-oriented investments. The findings reveal that the four-quadrant method surpasses machine learning clustering in predictive accuracy, highlighting the robustness of manual feature engineering. The study's significance lies in its potential to guide educators in designing targeted interventions and personalized learning strategies, emphasizing the importance of process-oriented assessment in education. Future research is recommended to expand the sample size and explore the integration of deep learning models for validation.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper provides an approach to providing QOE enhancement for a multifaceted learning platform that includes streamed media content. We demonstrate how the QOE of a multifaceted platform can be enhanced using the Lighthouse tool. The Lighthouse tool helped improve the page load speed by 75%. We also demonstrate how the playback quality of the video streaming content can be enhanced using CMAF-formatted DASH content. When compared to single-bit rate media, DASH-based media provided better video playback quality. The study also evaluates the learners` preferences for specific interactive features of a learning platform. The least preferred feature uniquely had static content. The results of this study provide empirical data that would help instructional designers make feature selection choices that`s guided by empirical data and improve the QOE of their instructional learning platforms.
{"title":"An Interactive Multimedia Model for Developing QOE-Enhanced E-Learning Platforms","authors":"Edwin Mwosa Kivuti, Dennis Kaburu, Kennedy Ogada","doi":"10.4018/ijwltt.347662","DOIUrl":"https://doi.org/10.4018/ijwltt.347662","url":null,"abstract":"This paper provides an approach to providing QOE enhancement for a multifaceted learning platform that includes streamed media content. We demonstrate how the QOE of a multifaceted platform can be enhanced using the Lighthouse tool. The Lighthouse tool helped improve the page load speed by 75%. We also demonstrate how the playback quality of the video streaming content can be enhanced using CMAF-formatted DASH content. When compared to single-bit rate media, DASH-based media provided better video playback quality. The study also evaluates the learners` preferences for specific interactive features of a learning platform. The least preferred feature uniquely had static content. The results of this study provide empirical data that would help instructional designers make feature selection choices that`s guided by empirical data and improve the QOE of their instructional learning platforms.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper attempts to test and analyze students' mental health status through the reform of physical education curriculum setting mode, reveal the changes and characteristics of individual mental health status, and then promote reasonable and effective physical education reform and the integration of psychological education. Furthermore, this article investigates people's mental health using the Apriori algorithm and the BP algorithm, and accurately presents the current condition using data graphs and other approaches, and its accuracy has grown by 20.32%. It also concludes that we should pursue the aims of social adaption and mental health, as well as support improved implementation of the new physical education curriculum. Physical education instruction must be engaging, but it cannot be done in isolation from sports and practice. As part of the new curriculum reform, physical education should be linked with psychological education.
本文试图通过体育课程设置模式的改革，对学生的心理健康状况进行检测和分析，揭示个体心理健康状况的变化和特点，进而促进体育教学改革与心理教育的合理有效结合。此外，本文利用 Apriori 算法和 BP 算法对人们的心理健康状况进行了调查，并利用数据图表等方法准确地呈现了现状，其准确率提高了 20.32%。报告还得出结论，我们应追求社会适应和心理健康的目标，并支持改进体育新课程的实施。体育教学必须引人入胜，但不能脱离运动和实践。作为新课程改革的一部分，体育应与心理教育相联系。
{"title":"Promoting Mental Health Education Through Sunshine Sports Integration in the Context of New Curriculum Reform","authors":"Shuo Wang","doi":"10.4018/ijwltt.345656","DOIUrl":"https://doi.org/10.4018/ijwltt.345656","url":null,"abstract":"This paper attempts to test and analyze students' mental health status through the reform of physical education curriculum setting mode, reveal the changes and characteristics of individual mental health status, and then promote reasonable and effective physical education reform and the integration of psychological education. Furthermore, this article investigates people's mental health using the Apriori algorithm and the BP algorithm, and accurately presents the current condition using data graphs and other approaches, and its accuracy has grown by 20.32%. It also concludes that we should pursue the aims of social adaption and mental health, as well as support improved implementation of the new physical education curriculum. Physical education instruction must be engaging, but it cannot be done in isolation from sports and practice. As part of the new curriculum reform, physical education should be linked with psychological education.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"5 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141641067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OBE concept is a new teaching mode which emphasizes the improvement of students' subjective initiative and professional practice ability. The teaching of animation course is based on drawing and computer, which requires teachers to understand the OBE mode of animation course, carry out targeted teaching innovation of animation course, and adjust the traditional teaching methods, teaching contents and teaching assessment methods. Based on the MOOC platform from the perspective of big data, this paper analyzes the teaching status and innovation process of animation course, and puts forward a hybrid animation course teaching method. Through the research of 686 primary and secondary school teachers, the results show that the hybrid animation course teaching based on OBE and MOOC from the perspective of big data has a better effect than the traditional teaching method, which improves students' initiative in learning animation courses and greatly enhances students' acceptability in learning animation courses.
{"title":"The Teaching Mode Design and Effect Evaluation Method of Animation Course From the Perspective of Big Data","authors":"Zhongqiang Feng, Yi Zhang","doi":"10.4018/ijwltt.343522","DOIUrl":"https://doi.org/10.4018/ijwltt.343522","url":null,"abstract":"OBE concept is a new teaching mode which emphasizes the improvement of students' subjective initiative and professional practice ability. The teaching of animation course is based on drawing and computer, which requires teachers to understand the OBE mode of animation course, carry out targeted teaching innovation of animation course, and adjust the traditional teaching methods, teaching contents and teaching assessment methods. Based on the MOOC platform from the perspective of big data, this paper analyzes the teaching status and innovation process of animation course, and puts forward a hybrid animation course teaching method. Through the research of 686 primary and secondary school teachers, the results show that the hybrid animation course teaching based on OBE and MOOC from the perspective of big data has a better effect than the traditional teaching method, which improves students' initiative in learning animation courses and greatly enhances students' acceptability in learning animation courses.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"12 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140966884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the extensive use of online learning in educational settings, Knowledge Tracing (KT) is becoming increasingly essential. KT primarily aims to predict a student's future knowledge acquisition based on their past learning activities, thus enhancing the efficiency of student learning. However, the effective acquisition of dynamic and evolving student representations from their historical records presents a formidable challenge. This paper introduces a Knowledge Tracing methodology predicated on Dynamic Broadth Graph Convolutional Networks (DBGCN). DBGCN leverages the mechanisms of breadth graph convolutional networks to proficiently acquire representations of questions and knowledge points from dynamically constructed topological graphs. It employs student state information as an attention query vector to augment student representations, thereby partially mitigating the challenge of capturing the dynamic shifts in user states. The effectiveness of our proposed DBGCN method has been demonstrated through extensive experimentation.
{"title":"DBGCN","authors":"Ping Hu, Zhaofeng Li, Pei Zhang, Jimei Gao, Liwei Zhang","doi":"10.4018/ijwltt.342848","DOIUrl":"https://doi.org/10.4018/ijwltt.342848","url":null,"abstract":"Given the extensive use of online learning in educational settings, Knowledge Tracing (KT) is becoming increasingly essential. KT primarily aims to predict a student's future knowledge acquisition based on their past learning activities, thus enhancing the efficiency of student learning. However, the effective acquisition of dynamic and evolving student representations from their historical records presents a formidable challenge. This paper introduces a Knowledge Tracing methodology predicated on Dynamic Broadth Graph Convolutional Networks (DBGCN). DBGCN leverages the mechanisms of breadth graph convolutional networks to proficiently acquire representations of questions and knowledge points from dynamically constructed topological graphs. It employs student state information as an attention query vector to augment student representations, thereby partially mitigating the challenge of capturing the dynamic shifts in user states. The effectiveness of our proposed DBGCN method has been demonstrated through extensive experimentation.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141022934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Preschool education belongs to non-compulsory enlightenment education, and it is difficult to measure and analyze the development of preschool education in different regions because of its multiple attributes and diversity of influencing factors. In addition, decision makers will be limited by their own cognition when facing multi-attribute factors and uncertain factors, and there is a big gap between the decision results given and the actual situation. Therefore, this chapter introduces generalized orthogonal fuzzy sets and prospect theory into the measurement model of preschool education development level based on technique for order of preference by similarity to ideal solution (TOPSIS) method to improve the decision accuracy of decision makers. The experimental results show that the model can effectively deal with uncertain information and improve the analysis accuracy, and the results are more in line with the actual situation than other models. At the same time, it can intuitively compare and analyze the development of preschool education in different regions, and provide reliable data support for decision makers.
{"title":"Measurement and Policy Optimization of Regional Preschool Education Development Level Based on Generalized Orthogonal Fuzzy Sets and Prospect Theory","authors":"Qian Wang","doi":"10.4018/ijwltt.341803","DOIUrl":"https://doi.org/10.4018/ijwltt.341803","url":null,"abstract":"Preschool education belongs to non-compulsory enlightenment education, and it is difficult to measure and analyze the development of preschool education in different regions because of its multiple attributes and diversity of influencing factors. In addition, decision makers will be limited by their own cognition when facing multi-attribute factors and uncertain factors, and there is a big gap between the decision results given and the actual situation. Therefore, this chapter introduces generalized orthogonal fuzzy sets and prospect theory into the measurement model of preschool education development level based on technique for order of preference by similarity to ideal solution (TOPSIS) method to improve the decision accuracy of decision makers. The experimental results show that the model can effectively deal with uncertain information and improve the analysis accuracy, and the results are more in line with the actual situation than other models. At the same time, it can intuitively compare and analyze the development of preschool education in different regions, and provide reliable data support for decision makers.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"26 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140753677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today, the network society has become an integral part of human society, and the network life marked by digitization, informatization and networking has become a new state of existence; a new society marked by interactivity, virtuality and innovation A mode of operation has been created. A network, in simple terms, is to connect, and can be called a computer network. Such highest degree of social informatization in my country. It is a new idea designed by making full use of computer networks, multimedia technology and modern communication technology and closely combining the cognitive hotspots of contemporary college students. way of political education. In response to the above problems, this article uses deep learning technology to develop an intelligent education system based on detection technology. The system takes identifying whether the standard is met as the main goal, and gives comprehensive evaluation and improvement suggestions for the quality of action completion. It gets rid of the constraints of the venue.
{"title":"Network Ideological and Political Education System for College Students Based on Multimedia Service Architecture","authors":"Liangzhou Wu, Haley A. Tancredi","doi":"10.4018/ijwltt.341265","DOIUrl":"https://doi.org/10.4018/ijwltt.341265","url":null,"abstract":"Today, the network society has become an integral part of human society, and the network life marked by digitization, informatization and networking has become a new state of existence; a new society marked by interactivity, virtuality and innovation A mode of operation has been created. A network, in simple terms, is to connect, and can be called a computer network. Such highest degree of social informatization in my country. It is a new idea designed by making full use of computer networks, multimedia technology and modern communication technology and closely combining the cognitive hotspots of contemporary college students. way of political education. In response to the above problems, this article uses deep learning technology to develop an intelligent education system based on detection technology. The system takes identifying whether the standard is met as the main goal, and gives comprehensive evaluation and improvement suggestions for the quality of action completion. It gets rid of the constraints of the venue.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"112 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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