Objective: To quantitatively evaluate the influence of sports level on the behavioral indexes and eye movement indexes of female tennis players by independent sample T test analysis, and to provide strategic basis for visual search of athletes. Methods: In this study, 20 female tennis players from colleges and universities in Henan Province were randomly selected as professional group, and 20 female tennis students from colleges and universities in Henan Province were randomly selected as amateur group. All the tested players had normal vision (5.0 after correction), healthy body, and were right-handed racket holding players. The experiment was conducted to compare the two groups of subjects' prediction accuracy rate, reaction time, total number of effective gaze, gaze track and interest area and other eye movement characteristics when watching videos. Results: The professional group had shorter reaction time, and the correct rate was obviously higher than the amateur group. The total effective fixation point of the professional group was more than that of the amateur group, and the professional group could focus more information. The professional group had a mature grasp of cognitive processing strategies, and their visual search times were targeted; Athletes in the professional group can allocate more attention to the key areas of interest that affect the serve landing point, and highly focus on the interest areas directly related to the direction of the serve, so that they can search information more accurately and improve the accuracy of the prediction.
目的通过独立样本 T 检验分析，定量评价运动水平对女子网球运动员行为指标和眼动指标的影响，为运动员视觉搜索提供策略依据。研究方法随机抽取河南省高校网球女运动员 20 名作为专业组，河南省高校网球女学生 20 名作为业余组。所有受试者视力正常（矫正后5.0），身体健康，右手持拍。实验比较了两组被试在观看视频时的预测准确率、反应时间、有效注视总次数、注视轨迹和兴趣区等眼动特征。结果显示专业组反应时间短，正确率明显高于业余组。专业组的总有效定点数多于业余组，专业组能聚焦更多的信息。专业组对认知加工策略的掌握比较成熟，视觉搜索时间有针对性；专业组运动员能将更多的注意力分配到影响发球落点的关键兴趣区，高度集中于与发球方向直接相关的兴趣区，从而能更准确地搜索信息，提高预测的准确性。
{"title":"Eye Movement on Predicting Serve Return of College Female Tennis Players of Different Levels in Henan Province","authors":"Jingang Li","doi":"10.54097/fcis.v6i2.17","DOIUrl":"https://doi.org/10.54097/fcis.v6i2.17","url":null,"abstract":"Objective: To quantitatively evaluate the influence of sports level on the behavioral indexes and eye movement indexes of female tennis players by independent sample T test analysis, and to provide strategic basis for visual search of athletes. Methods: In this study, 20 female tennis players from colleges and universities in Henan Province were randomly selected as professional group, and 20 female tennis students from colleges and universities in Henan Province were randomly selected as amateur group. All the tested players had normal vision (5.0 after correction), healthy body, and were right-handed racket holding players. The experiment was conducted to compare the two groups of subjects' prediction accuracy rate, reaction time, total number of effective gaze, gaze track and interest area and other eye movement characteristics when watching videos. Results: The professional group had shorter reaction time, and the correct rate was obviously higher than the amateur group. The total effective fixation point of the professional group was more than that of the amateur group, and the professional group could focus more information. The professional group had a mature grasp of cognitive processing strategies, and their visual search times were targeted; Athletes in the professional group can allocate more attention to the key areas of interest that affect the serve landing point, and highly focus on the interest areas directly related to the direction of the serve, so that they can search information more accurately and improve the accuracy of the prediction.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"357 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138986009","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}
Multi-core shared cache conflict constraint technology for low energy consumption and low latency can be widely applied in various industries such as intelligent automobiles, aviation, aerospace, medical, industrial control, etc., and has important application backgrounds. This paper analyzes the energy consumption optimization method for multi-core shared cache conflict constraints, providing important reference for energy consumption optimization research under shared resource conflicts and promoting the development of multi-core industries.
{"title":"Analysis of Energy Consumption Optimization for Shared Cache Conflicts","authors":"Mingquan Zhang, Junwei Hu, Zihao Wu","doi":"10.54097/fcis.v6i2.13","DOIUrl":"https://doi.org/10.54097/fcis.v6i2.13","url":null,"abstract":"Multi-core shared cache conflict constraint technology for low energy consumption and low latency can be widely applied in various industries such as intelligent automobiles, aviation, aerospace, medical, industrial control, etc., and has important application backgrounds. This paper analyzes the energy consumption optimization method for multi-core shared cache conflict constraints, providing important reference for energy consumption optimization research under shared resource conflicts and promoting the development of multi-core industries.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"85 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138988352","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 aims to explore the market development of Mongolian-themed films and put forward corresponding strategies and suggestions. By analyzing the current situation and problems of the Mongolian-themed film market, combined with the development trends of domestic and foreign film markets, we study key issues such as the commercial operation mechanism, market support, and marketing of Mongolian-themed films. In the process of market development, Mongolian-themed films face challenges such as insufficient financial support, poor marketing promotion, and limited distribution channels. In order to promote the market-oriented development of Mongolian-themed films, diversified publicity and promotion strategies, strengthening market support, and optimizing commercial operation mechanisms are needed.
{"title":"Research on the Market Development of Mongolian-Themed Films","authors":"Yating Zhang","doi":"10.54097/fcis.v6i1.20","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.20","url":null,"abstract":"This study aims to explore the market development of Mongolian-themed films and put forward corresponding strategies and suggestions. By analyzing the current situation and problems of the Mongolian-themed film market, combined with the development trends of domestic and foreign film markets, we study key issues such as the commercial operation mechanism, market support, and marketing of Mongolian-themed films. In the process of market development, Mongolian-themed films face challenges such as insufficient financial support, poor marketing promotion, and limited distribution channels. In order to promote the market-oriented development of Mongolian-themed films, diversified publicity and promotion strategies, strengthening market support, and optimizing commercial operation mechanisms are needed.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"570 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139023521","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 evaluated the effectiveness of digital interactive learning methods in art classes, and the learning satisfaction of college students in Xinyang Normal University (XNU). The study used a descriptive-comparative correlational design and the respondents of the study are 100 students from Xinyang Normal University (XNU). The use of digital interactive learning methods was highly effective according to the teacher respondents. Both students and teachers are highly satisfied in their learning with the use of digital interactive learning methods. The assessment of the effectiveness of digital interactive learning methods does not vary significantly across different levels of sex, age, and year level. Moreover, there is a significant difference in the assessments of both respondents on the effectiveness of virtual learning and overall digital interactive learning method, there is a significant difference in the satisfaction of assessment of the students among different year levels, and the fourth-year students have a significantly higher satisfaction compared to third year students. Furthermore, there is a significant direct relationship between the assessment of video-based learning effectiveness and student satisfaction with generic skills and learning experiences. The assessment of digital interactive learning effectiveness is significantly correlated with overall satisfaction. Additionally, there are direct relationships between game-based learning and satisfaction with teaching, as well as digital interactive learning method and satisfaction with generic skills and learning experiences. However, no significant relationships were observed between other variables.
{"title":"Digital Interactive Learning Method and its Influence on College Art Students’ Learning Satisfaction","authors":"Chen Chen","doi":"10.54097/fcis.v6i2.16","DOIUrl":"https://doi.org/10.54097/fcis.v6i2.16","url":null,"abstract":"This study evaluated the effectiveness of digital interactive learning methods in art classes, and the learning satisfaction of college students in Xinyang Normal University (XNU). The study used a descriptive-comparative correlational design and the respondents of the study are 100 students from Xinyang Normal University (XNU). The use of digital interactive learning methods was highly effective according to the teacher respondents. Both students and teachers are highly satisfied in their learning with the use of digital interactive learning methods. The assessment of the effectiveness of digital interactive learning methods does not vary significantly across different levels of sex, age, and year level. Moreover, there is a significant difference in the assessments of both respondents on the effectiveness of virtual learning and overall digital interactive learning method, there is a significant difference in the satisfaction of assessment of the students among different year levels, and the fourth-year students have a significantly higher satisfaction compared to third year students. Furthermore, there is a significant direct relationship between the assessment of video-based learning effectiveness and student satisfaction with generic skills and learning experiences. The assessment of digital interactive learning effectiveness is significantly correlated with overall satisfaction. Additionally, there are direct relationships between game-based learning and satisfaction with teaching, as well as digital interactive learning method and satisfaction with generic skills and learning experiences. However, no significant relationships were observed between other variables.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"54 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139024278","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}
In order to improve the accuracy of interval number prediction, this paper proposes a new type of interval number combination prediction model based on improved grey correlation degree and IOWHA operator. Transform the interval number into the center and radius of equivalent information, introduce the IOWHA operator, use the interval number prediction accuracy as the inducing factor, and improve the grey correlation degree as the optimal criterion to construct a variable weight interval type combination prediction model based on the improved grey correlation degree and IOWHA operator. And the variable weight coefficient interval type combination prediction model is applied to the prediction of interval number sequences, and the example proves that the model is effective.
{"title":"Interval Type Combination Prediction Model based on Improved Grey Correlation Degree IOWHA Operator","authors":"Feng Xu, Xiaowei Cai","doi":"10.54097/fcis.v6i1.23","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.23","url":null,"abstract":"In order to improve the accuracy of interval number prediction, this paper proposes a new type of interval number combination prediction model based on improved grey correlation degree and IOWHA operator. Transform the interval number into the center and radius of equivalent information, introduce the IOWHA operator, use the interval number prediction accuracy as the inducing factor, and improve the grey correlation degree as the optimal criterion to construct a variable weight interval type combination prediction model based on the improved grey correlation degree and IOWHA operator. And the variable weight coefficient interval type combination prediction model is applied to the prediction of interval number sequences, and the example proves that the model is effective.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208612","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}
Intelligent robots have replaced manual labor to complete a lot of complicated work, especially in equipment inspection has advantages. The purpose of this paper is to design an intelligent robotic inspection system. The system is based on ROS and adopts YOLO algorithm, RRT* algorithm, Agile_grasp function package, and MoveIt! framework to realize the basic target recognition, position recognition, robotic arm navigation planning and other functions. The human-computer interaction interface has been designed, and the simulation test in Gazebo and the real machine test in real environment have also been completed. The system still has a large space for improvement, and further research will be conducted in the future in terms of response speed and accuracy.
{"title":"An Intelligent Equipment Inspection System based on Robotic Arm","authors":"Zewei Ye, Liwei Zeng, Qingzhang Wang, Zhicheng Wang, Jianhua Cui, Yanning Cao, Lingling Shen, Xiaojun Qian","doi":"10.54097/fcis.v6i1.22","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.22","url":null,"abstract":"Intelligent robots have replaced manual labor to complete a lot of complicated work, especially in equipment inspection has advantages. The purpose of this paper is to design an intelligent robotic inspection system. The system is based on ROS and adopts YOLO algorithm, RRT* algorithm, Agile_grasp function package, and MoveIt! framework to realize the basic target recognition, position recognition, robotic arm navigation planning and other functions. The human-computer interaction interface has been designed, and the simulation test in Gazebo and the real machine test in real environment have also been completed. The system still has a large space for improvement, and further research will be conducted in the future in terms of response speed and accuracy.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"33 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200407","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}
In this era of information, the rapid advancement of computer information technology has brought about tremendous changes to our work and life. However, accompanying this progress are significant challenges in terms of data security. Vulnerabilities in data security and encryption technologies have become the focal point of research, aiming to ensure the utmost protection and security of our data. The purpose of this article is to delve into the vulnerabilities in data security and encryption technologies within the realm of computer information technology, with the intention of providing readers with a profound understanding of data security issues and effective solutions. By comprehensively understanding the origins and impacts of data security vulnerabilities, as well as the principles and applications of encryption technologies, we can become more acutely aware of the importance of data security, enhance our capabilities in safeguarding data security, and contribute to the construction of a secure and reliable information society.
{"title":"Research on Vulnerabilities in Computer Information Technology and Encryption Techniques","authors":"Zhenan Tu","doi":"10.54097/fcis.v6i1.08","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.08","url":null,"abstract":"In this era of information, the rapid advancement of computer information technology has brought about tremendous changes to our work and life. However, accompanying this progress are significant challenges in terms of data security. Vulnerabilities in data security and encryption technologies have become the focal point of research, aiming to ensure the utmost protection and security of our data. The purpose of this article is to delve into the vulnerabilities in data security and encryption technologies within the realm of computer information technology, with the intention of providing readers with a profound understanding of data security issues and effective solutions. By comprehensively understanding the origins and impacts of data security vulnerabilities, as well as the principles and applications of encryption technologies, we can become more acutely aware of the importance of data security, enhance our capabilities in safeguarding data security, and contribute to the construction of a secure and reliable information society.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139230412","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 uses LSTM to conduct a prediction study on the PS dataset to establish a revenue maximization optimization model by limiting the actual cost of a category that fluctuates within 10% of two adjacent days, using seven-day revenue as the objective function, and using the actual daily supplemental cost of each category as the decision variable. Taking the unit cost profit of a category as a category, the ratio of seven-day total profit to seven-day total supplemental cost, and based on cost-plus pricing, the cost price of an individual product for the next seven days can be estimated based on the unit cost profit of the corresponding category, so as to further estimate the pricing as the basis for pricing decisions. The Monte Carlo method is used to optimize the optimization objectives within different profit fluctuation percentage intervals using genetic algorithm, with a view to providing some implications for forecasting research in other fields.
{"title":"Research and Analysis of Vegetable Pricing and Replenishment Decisions","authors":"Chunli Jiang, Guo Chen","doi":"10.54097/fcis.v6i1.04","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.04","url":null,"abstract":"This paper uses LSTM to conduct a prediction study on the PS dataset to establish a revenue maximization optimization model by limiting the actual cost of a category that fluctuates within 10% of two adjacent days, using seven-day revenue as the objective function, and using the actual daily supplemental cost of each category as the decision variable. Taking the unit cost profit of a category as a category, the ratio of seven-day total profit to seven-day total supplemental cost, and based on cost-plus pricing, the cost price of an individual product for the next seven days can be estimated based on the unit cost profit of the corresponding category, so as to further estimate the pricing as the basis for pricing decisions. The Monte Carlo method is used to optimize the optimization objectives within different profit fluctuation percentage intervals using genetic algorithm, with a view to providing some implications for forecasting research in other fields.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139230866","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}
Aiming at the problems of low recognition accuracy and low noise resistance of current power quality disturbance recognition algorithms, a power quality disturbance recognition method based on the fusion of neural network and adaptive features is proposed. Firstly, one-dimensional features are extracted by 1D_CNN+GRU network. The GADF algorithm and 2D_CNN are used to extract 2D features, and then the extracted 1D features and 2D features are adaptively fused into a new feature. Finally, the new features are input into the channel attention mechanism and classified through the full connection layer. The experimental results show that the classification accuracy of the proposed method is above 92% for 40 disturbance types containing single, double, triple and quadruple disturbances, and above 96% for 20 disturbance types containing single and double disturbances.
{"title":"Power Quality Disturbance Recognition based on Deep Neural Network and Adaptive Feature Fusion","authors":"Lei Chen, Chao Zhou, Jianjun Chen","doi":"10.54097/fcis.v6i1.02","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.02","url":null,"abstract":"Aiming at the problems of low recognition accuracy and low noise resistance of current power quality disturbance recognition algorithms, a power quality disturbance recognition method based on the fusion of neural network and adaptive features is proposed. Firstly, one-dimensional features are extracted by 1D_CNN+GRU network. The GADF algorithm and 2D_CNN are used to extract 2D features, and then the extracted 1D features and 2D features are adaptively fused into a new feature. Finally, the new features are input into the channel attention mechanism and classified through the full connection layer. The experimental results show that the classification accuracy of the proposed method is above 92% for 40 disturbance types containing single, double, triple and quadruple disturbances, and above 96% for 20 disturbance types containing single and double disturbances.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231893","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}
In the mobile edge computing scenario, intelligent terminal devices can reduce the waiting delay by offloading the computing task to a server. The offloading scheme’s optimization has been proven an NP-hard problem. The heuristic algorithms, including evolutionary algorithms, are widely used to search for the optimal scheme. User experience is mainly limited by energy consumption and time delay. Most existing research results combine it linearly into a single objective or focus on the optimal solution in a specific area. Based on this, this paper proposes an adaptive multitasking evolutionary optimization algorithm, which considers multiple independent areas to be optimized. It abstracts the task offloading system model in each area as a multi-objective programming problem, aiming at minimizing the average energy consumption and delay of intelligent devices. By learning the user distribution and the similarity of tasks to be processed in different areas dynamically to adjust the degree of population communication, the convergence has been sped up. The performance of the proposed algorithm is verified by a set of instances.
{"title":"An Adaptive Multitasking Evolutionary Computation Offloading Algorithm for Mobile Edge Computing","authors":"Yingjie Hou, Zhangang Wang, Xu Liu","doi":"10.54097/fcis.v6i1.06","DOIUrl":"https://doi.org/10.54097/fcis.v6i1.06","url":null,"abstract":"In the mobile edge computing scenario, intelligent terminal devices can reduce the waiting delay by offloading the computing task to a server. The offloading scheme’s optimization has been proven an NP-hard problem. The heuristic algorithms, including evolutionary algorithms, are widely used to search for the optimal scheme. User experience is mainly limited by energy consumption and time delay. Most existing research results combine it linearly into a single objective or focus on the optimal solution in a specific area. Based on this, this paper proposes an adaptive multitasking evolutionary optimization algorithm, which considers multiple independent areas to be optimized. It abstracts the task offloading system model in each area as a multi-objective programming problem, aiming at minimizing the average energy consumption and delay of intelligent devices. By learning the user distribution and the similarity of tasks to be processed in different areas dynamically to adjust the degree of population communication, the convergence has been sped up. The performance of the proposed algorithm is verified by a set of instances.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139232367","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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