Under the background of mobile Internet of Things, this paper focuses on the solutions of trusted computing and privacy protection of Internet of Things nodes. Based on the research of existing mainstream service discovery protocols and the deep fuzzy control theory of dynamic learning rate, this paper proposes a trusted computing algorithm for Internet of Things nodes in mobile Internet of Things,which takes into account service quality and user preference.This paper combines the depth fuzzy control model of IoT nodes proposed before, uses a normal data set to train it, and then makes it generate and play the prediction residuals. It will be further used to build a privacy protection model and realize the anomaly detection of privacy protection data in the Internet of Things. This paper designs and implements a trusted computing system using the Internet of Things platform,which has been tested. Experimental results show that, compared with previous elastic matching algorithms, the precision and recall of the new algorithm proposed in this paper are improved.
{"title":"Trusted Computing and Privacy Protection of Computer Internet of Things Nodes Based on Deep Fuzzy Control of Dynamic Learning Rate","authors":"Yufei Sun, Annagiulia Pezzola","doi":"10.4018/ijfsa.348655","DOIUrl":"https://doi.org/10.4018/ijfsa.348655","url":null,"abstract":"Under the background of mobile Internet of Things, this paper focuses on the solutions of trusted computing and privacy protection of Internet of Things nodes. Based on the research of existing mainstream service discovery protocols and the deep fuzzy control theory of dynamic learning rate, this paper proposes a trusted computing algorithm for Internet of Things nodes in mobile Internet of Things,which takes into account service quality and user preference.This paper combines the depth fuzzy control model of IoT nodes proposed before, uses a normal data set to train it, and then makes it generate and play the prediction residuals. It will be further used to build a privacy protection model and realize the anomaly detection of privacy protection data in the Internet of Things. This paper designs and implements a trusted computing system using the Internet of Things platform,which has been tested. Experimental results show that, compared with previous elastic matching algorithms, the precision and recall of the new algorithm proposed in this paper are improved.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828693","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}
The multi-attribute decision-making method based on online reviews has been widely used in addressing the hotel selection problem. However, due to information overload and the presence of fake reviews, traditional hotel selection methods that rely solely on unverified review analysis can affect the outcome of hotel selections. In this study, a novel three-dimensional helpful review analysis model based multi-attribute decision-making approach for hotel selection is established. Firstly, a new three-dimensional helpful review analysis model that effectively filters out sentiment inconsistency reviews, topic inconsistency reviews, and reviews from invalid sources is proposed. Secondly, this study employs TF-IDF and LDA to extract attributes for hotel selection. We further utilize BERT to extract sentiment level for each attribute. Then, a ranking result for alternative hotels is obtained using a combination compromise solution method (CoCoSo). Finally, we demonstrate its effectiveness and feasibility through a case study of selecting the optimal hotel from TripAdvisor.com.
{"title":"An Online Hotel Selection Method With Three-Dimensional Analysis of Reviews' Helpfulness","authors":"Yujia Liu, Jihui Li","doi":"10.4018/ijfsa.343490","DOIUrl":"https://doi.org/10.4018/ijfsa.343490","url":null,"abstract":"The multi-attribute decision-making method based on online reviews has been widely used in addressing the hotel selection problem. However, due to information overload and the presence of fake reviews, traditional hotel selection methods that rely solely on unverified review analysis can affect the outcome of hotel selections. In this study, a novel three-dimensional helpful review analysis model based multi-attribute decision-making approach for hotel selection is established. Firstly, a new three-dimensional helpful review analysis model that effectively filters out sentiment inconsistency reviews, topic inconsistency reviews, and reviews from invalid sources is proposed. Secondly, this study employs TF-IDF and LDA to extract attributes for hotel selection. We further utilize BERT to extract sentiment level for each attribute. Then, a ranking result for alternative hotels is obtained using a combination compromise solution method (CoCoSo). Finally, we demonstrate its effectiveness and feasibility through a case study of selecting the optimal hotel from TripAdvisor.com.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140974521","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}
The study aims to prioritize critical climate components for school improvement. A psychometrically validated instrument named the Chinese “Organizational Climate Diagnostic Instrument for Junior High Schools” (OCDI-JH) was used to diagnose climate factors through expert judgments and fuzzy DEMATEL-based ANP. Results of the study identified the six factors clustered under the two dimensions of ‘Safety' (D1) or ‘Academic emphasis' (D2) should be given particular attention for school effectiveness. The established climate diagnosis appraisal computed by fuzzy DEMATEL-based ANP can be extended to other school regions for systematically developing school climate based on contextually specific needs and concerns. Future research studies are expected to provide incremental and value-added contributions to the competitive advantages of Taiwan's junior high school education.
{"title":"Diagnosing the Organizational Climate of Junior High Schools in Taiwan","authors":"Hui-Wen Vivian Tang, Lynne Lee","doi":"10.4018/ijfsa.342606","DOIUrl":"https://doi.org/10.4018/ijfsa.342606","url":null,"abstract":"The study aims to prioritize critical climate components for school improvement. A psychometrically validated instrument named the Chinese “Organizational Climate Diagnostic Instrument for Junior High Schools” (OCDI-JH) was used to diagnose climate factors through expert judgments and fuzzy DEMATEL-based ANP. Results of the study identified the six factors clustered under the two dimensions of ‘Safety' (D1) or ‘Academic emphasis' (D2) should be given particular attention for school effectiveness. The established climate diagnosis appraisal computed by fuzzy DEMATEL-based ANP can be extended to other school regions for systematically developing school climate based on contextually specific needs and concerns. Future research studies are expected to provide incremental and value-added contributions to the competitive advantages of Taiwan's junior high school education.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141020495","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}
Dan Li, Zheng Qu, Chen Lyu, Luping Zhang, Wenjin Zuo
In public health emergencies, situational awareness is crucial for swift responses by governments and rescue organizations. In this manuscript, a novel framework is proposed to identify and classify event-specific information, aiming to comprehend concepts, characteristics, and classifications associated with situational awareness in social media emergencies. First, a statistical approach is employed to extract a set of standard features. Second, a category-based latent dirichlet allocation to vector (LDA2vec) model is leveraged to extract topic-based features to enhance accuracy, particularly for unbalanced datasets. Finally, a fuzzy support vector machine (FSVM) classifier utilizing the Mahalanobis distance kernel is introduced to improve the detection accuracy of event-specific information. The framework's effectiveness is evaluated using the social media public health dataset, achieving superior filtering capabilities for non-informative data with a precision of 89% and an F1-Score of 91%, surpassing other standard methods.
{"title":"Fuzzy SVM With Mahalanobis Distance for Situational Awareness-Based Recognition of Public Health Emergencies","authors":"Dan Li, Zheng Qu, Chen Lyu, Luping Zhang, Wenjin Zuo","doi":"10.4018/ijfsa.342117","DOIUrl":"https://doi.org/10.4018/ijfsa.342117","url":null,"abstract":"In public health emergencies, situational awareness is crucial for swift responses by governments and rescue organizations. In this manuscript, a novel framework is proposed to identify and classify event-specific information, aiming to comprehend concepts, characteristics, and classifications associated with situational awareness in social media emergencies. First, a statistical approach is employed to extract a set of standard features. Second, a category-based latent dirichlet allocation to vector (LDA2vec) model is leveraged to extract topic-based features to enhance accuracy, particularly for unbalanced datasets. Finally, a fuzzy support vector machine (FSVM) classifier utilizing the Mahalanobis distance kernel is introduced to improve the detection accuracy of event-specific information. The framework's effectiveness is evaluated using the social media public health dataset, achieving superior filtering capabilities for non-informative data with a precision of 89% and an F1-Score of 91%, surpassing other standard methods.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140689605","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}
Against the backdrop of the rapidly expanding digital economy, multinational corporations are increasingly exploiting information asymmetry in the market to employ covert and diverse methods of tax avoidance. This poses a significant challenge to tax collection and administration. The proposal of a digital service tax aims to adapt the international tax system to the digitalization of the economy, ensuring fair and reasonable tax payments. To address these challenges, this article assumes an asymmetric international digital economy market and a domestic market characterized by duopoly. It establishes an asymmetric market duopoly game, calculates the digital gains of each country's market using the logistic function, determines the Nash equilibrium of the data service tax game, and analyzes the relationship between the digital service tax rates of strong and weak countries in the digital economy.
{"title":"A Game Model Analysis of the International Digital Service Tax in an Asymmetric Market Duopoly","authors":"Yixin Sun, Wenqi Liu, Meng Li","doi":"10.4018/ijfsa.342116","DOIUrl":"https://doi.org/10.4018/ijfsa.342116","url":null,"abstract":"Against the backdrop of the rapidly expanding digital economy, multinational corporations are increasingly exploiting information asymmetry in the market to employ covert and diverse methods of tax avoidance. This poses a significant challenge to tax collection and administration. The proposal of a digital service tax aims to adapt the international tax system to the digitalization of the economy, ensuring fair and reasonable tax payments. To address these challenges, this article assumes an asymmetric international digital economy market and a domestic market characterized by duopoly. It establishes an asymmetric market duopoly game, calculates the digital gains of each country's market using the logistic function, determines the Nash equilibrium of the data service tax game, and analyzes the relationship between the digital service tax rates of strong and weak countries in the digital economy.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692372","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 article identifies the factors that affect college students' social entrepreneurship willingness from the perspective of individuals and colleges, and introduces the social environment as a moderating variable to analyze its role in the generation of various factors and college students' social entrepreneurship willingness. The analysis method constructs the judgment matrix of each layer, calculates the weight of each influencing factor and its overall ranking, and provides theoretical guidance and model support for local governments, colleges and universities, and college students to enhance their entrepreneurial intentions. On the basis of expert consultation, questionnaire method and practical research, a “four-in-one” innovation and entrepreneurship education evaluation index system is constructed, and the analytic hierarchy process (AHP) is used to study the innovation and entrepreneurship education evaluation system.
{"title":"Exploration on the Influential Factors of College Students' Innovation and Entrepreneurship Intention Based on Analytic Hierarchy Process","authors":"Yanjia Yang","doi":"10.4018/ijfsa.337966","DOIUrl":"https://doi.org/10.4018/ijfsa.337966","url":null,"abstract":"This article identifies the factors that affect college students' social entrepreneurship willingness from the perspective of individuals and colleges, and introduces the social environment as a moderating variable to analyze its role in the generation of various factors and college students' social entrepreneurship willingness. The analysis method constructs the judgment matrix of each layer, calculates the weight of each influencing factor and its overall ranking, and provides theoretical guidance and model support for local governments, colleges and universities, and college students to enhance their entrepreneurial intentions. On the basis of expert consultation, questionnaire method and practical research, a “four-in-one” innovation and entrepreneurship education evaluation index system is constructed, and the analytic hierarchy process (AHP) is used to study the innovation and entrepreneurship education evaluation system.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855837","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 article identifies the factors that affect college students' social entrepreneurship willingness from the perspective of individuals and colleges, and introduces the social environment as a moderating variable to analyze its role in the generation of various factors and college students' social entrepreneurship willingness. The analysis method constructs the judgment matrix of each layer, calculates the weight of each influencing factor and its overall ranking, and provides theoretical guidance and model support for local governments, colleges and universities, and college students to enhance their entrepreneurial intentions. On the basis of expert consultation, questionnaire method and practical research, a “four-in-one” innovation and entrepreneurship education evaluation index system is constructed, and the analytic hierarchy process (AHP) is used to study the innovation and entrepreneurship education evaluation system.
{"title":"Exploration on the Influential Factors of College Students' Innovation and Entrepreneurship Intention Based on Analytic Hierarchy Process","authors":"Yanjia Yang","doi":"10.4018/ijfsa.337966","DOIUrl":"https://doi.org/10.4018/ijfsa.337966","url":null,"abstract":"This article identifies the factors that affect college students' social entrepreneurship willingness from the perspective of individuals and colleges, and introduces the social environment as a moderating variable to analyze its role in the generation of various factors and college students' social entrepreneurship willingness. The analysis method constructs the judgment matrix of each layer, calculates the weight of each influencing factor and its overall ranking, and provides theoretical guidance and model support for local governments, colleges and universities, and college students to enhance their entrepreneurial intentions. On the basis of expert consultation, questionnaire method and practical research, a “four-in-one” innovation and entrepreneurship education evaluation index system is constructed, and the analytic hierarchy process (AHP) is used to study the innovation and entrepreneurship education evaluation system.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795964","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}
A new fuzzy group decision-making method considering multi-attributes correlation under interval-valued function is presented, which mainly includes (1) acquiring the group fuzzy preference matrix and (2) handling the interactions between multiple evaluation attributes. To do that, firstly, the fuzzy joint Choquet integral based on an interval-valued function is proposed, which not only reflects the interaction between multiple attributes in a complex and uncertain environment, but also retains the initial preference of the decision maker. Secondly, a Shapley value with fuzzy measure is applied to assign each decision maker's weight, and the fuzzy group preference matrix is acquired by fusing the fuzzy preference matrices of all decision makers. Finally, a nursing home selection case is depicted to explain the effectiveness of the proposed technique. The corresponding sensitivity analysis is operated, which clarifies the reliability and flexibility of the proposed technique.
{"title":"A New Fuzzy Joint Choquet Integral Method Under Interval-Valued Function","authors":"Kaisheng Liu","doi":"10.4018/ijfsa.334699","DOIUrl":"https://doi.org/10.4018/ijfsa.334699","url":null,"abstract":"A new fuzzy group decision-making method considering multi-attributes correlation under interval-valued function is presented, which mainly includes (1) acquiring the group fuzzy preference matrix and (2) handling the interactions between multiple evaluation attributes. To do that, firstly, the fuzzy joint Choquet integral based on an interval-valued function is proposed, which not only reflects the interaction between multiple attributes in a complex and uncertain environment, but also retains the initial preference of the decision maker. Secondly, a Shapley value with fuzzy measure is applied to assign each decision maker's weight, and the fuzzy group preference matrix is acquired by fusing the fuzzy preference matrices of all decision makers. Finally, a nursing home selection case is depicted to explain the effectiveness of the proposed technique. The corresponding sensitivity analysis is operated, which clarifies the reliability and flexibility of the proposed technique.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138981771","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 address the mental health challenges brought about by the diversified development and rapid changes in society, with special attention to the psychological status of the student population. By using the SCL-90 mental health testing tool, collecting students' mental health data, and applying the fuzzy comprehensive evaluation method to analyze and evaluate students' mental health and its influencing factors in depth, the study aims to provide more effective countermeasures for students' mental health education as well as targeted teaching assistance for teachers. This study combines the BP neural network prediction model, which is committed to improving the accurate prediction of students' mental health status. The results of the study will help to assess the mental health level of students, detect and intervene in psychological crises in a timely manner, provide schools with more comprehensive mental health management and services, and promote the overall healthy growth of students.
本研究旨在应对社会多元化发展和快速变化带来的心理健康挑战，特别关注学生群体的心理状况。通过使用 SCL-90 心理健康测试工具，收集学生的心理健康数据，运用模糊综合评价法对学生的心理健康及其影响因素进行深入分析和评价，为学生的心理健康教育提供更有效的对策，也为教师的教学提供有针对性的帮助。本研究结合 BP 神经网络预测模型，致力于提高对学生心理健康状况的准确预测。研究结果将有助于评估学生的心理健康水平，及时发现和干预心理危机，为学校提供更全面的心理健康管理和服务，促进学生全面健康成长。
{"title":"Mental Health Status and Influencing Factors of College Students","authors":"Liangqun Yang","doi":"10.4018/ijfsa.334233","DOIUrl":"https://doi.org/10.4018/ijfsa.334233","url":null,"abstract":"This study aims to address the mental health challenges brought about by the diversified development and rapid changes in society, with special attention to the psychological status of the student population. By using the SCL-90 mental health testing tool, collecting students' mental health data, and applying the fuzzy comprehensive evaluation method to analyze and evaluate students' mental health and its influencing factors in depth, the study aims to provide more effective countermeasures for students' mental health education as well as targeted teaching assistance for teachers. This study combines the BP neural network prediction model, which is committed to improving the accurate prediction of students' mental health status. The results of the study will help to assess the mental health level of students, detect and intervene in psychological crises in a timely manner, provide schools with more comprehensive mental health management and services, and promote the overall healthy growth of students.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139227027","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}
The multi-dimensional cloud model is proposed as the expansion of the one-dimensional cloud model. The features of ambiguity and stochasticity in complex information situations are considered; thus, this optimized model can be utilized upon multiple value classifications and ordering via which the objects' attributes of physical and social can be reflected. Therefore, this promoted model is wildly used. This paper provides a knowledge graph by reviewing the theoretical research of the multi-dimensional cloud model and its related bibliographies, and Cite Space is applied here to give a visualization conclusion. In recent years, a multitude of theories and methods have emerged to address the challenges posed by fuzzy and stochastic uncertainty in various domains, such as image segmentation, data mining, prediction techniques, and comprehensive evaluation of multiple metrics and dimensions using uncertain linguistic variables.
{"title":"Multi-Dimensional Cloud Model-Based Assessment and Its Application to the Risk of Supply Chain Financial Companies","authors":"Jinming Zhou, Yuanyuan Zhan, Sibo Chen","doi":"10.4018/ijfsa.333863","DOIUrl":"https://doi.org/10.4018/ijfsa.333863","url":null,"abstract":"The multi-dimensional cloud model is proposed as the expansion of the one-dimensional cloud model. The features of ambiguity and stochasticity in complex information situations are considered; thus, this optimized model can be utilized upon multiple value classifications and ordering via which the objects' attributes of physical and social can be reflected. Therefore, this promoted model is wildly used. This paper provides a knowledge graph by reviewing the theoretical research of the multi-dimensional cloud model and its related bibliographies, and Cite Space is applied here to give a visualization conclusion. In recent years, a multitude of theories and methods have emerged to address the challenges posed by fuzzy and stochastic uncertainty in various domains, such as image segmentation, data mining, prediction techniques, and comprehensive evaluation of multiple metrics and dimensions using uncertain linguistic variables.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251274","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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