This study aims to analyze the construction of motherhood identity by women in Turkey using critical discursive psychology’s approach and its concepts such as interpretative repertoires and subject positions. For this, firstly, the messages that were shared on profiles of mothers who have become famous through their posts on social media hence called as “phenomena mothers” and of maternity groups on Facebook and Instagram as well as their followers’ comments were analyzed. Secondly, semi-structured interviews were conducted with five mothers with different socio-demografic characteristics. The analysis of the data consisting of social media posts revealed four interpretative repertoires; "individual motherhood", "maternity through equality between men and women", "sufficient sacrifice" and "inadequacy" were obtained. In terms of subject positions, the “phenomena mothers” was determined positioning themselves as "persons who can instruct, guide and act as role models". For the followers of these mothers on social media, the subject positions were determined as “persons who accept these characteristics described above and role model positions of “phenomena mothers”. The results of the analysis of the interviews revealed three interpretative repertoires, "unpredictable motherhood", "motherhood as maintaining equilibrium" and "motherhood as personal change". The identified subject positions were “the person who take great pains” and "the person becoming her ought self". The interpretative repertoires in construction of the motherhood identity used by participants who were interviewed compared to the interpretative repertoires used in the social media data were both similar on some aspects and different on others. However, the subject positions used in both contexts did not differ. The results were discussed in relation to feminism in Turkey, previous studies on motherhood, self-presentation on social media.
{"title":"\"Mesih Annelik\": Sosyal Medyada İnşa Edilen Annelik Kimliğinin Söylem Analizi","authors":"Handan Coşkun, Göklem Tekdemir Yurtdaş","doi":"10.33831/jws.v21i1.64","DOIUrl":"https://doi.org/10.33831/jws.v21i1.64","url":null,"abstract":"This study aims to analyze the construction of motherhood identity by women in Turkey using critical discursive psychology’s approach and its concepts such as interpretative repertoires and subject positions. For this, firstly, the messages that were shared on profiles of mothers who have become famous through their posts on social media hence called as “phenomena mothers” and of maternity groups on Facebook and Instagram as well as their followers’ comments were analyzed. Secondly, semi-structured interviews were conducted with five mothers with different socio-demografic characteristics. The analysis of the data consisting of social media posts revealed four interpretative repertoires; \"individual motherhood\", \"maternity through equality between men and women\", \"sufficient sacrifice\" and \"inadequacy\" were obtained. In terms of subject positions, the “phenomena mothers” was determined positioning themselves as \"persons who can instruct, guide and act as role models\". For the followers of these mothers on social media, the subject positions were determined as “persons who accept these characteristics described above and role model positions of “phenomena mothers”. The results of the analysis of the interviews revealed three interpretative repertoires, \"unpredictable motherhood\", \"motherhood as maintaining equilibrium\" and \"motherhood as personal change\". The identified subject positions were “the person who take great pains” and \"the person becoming her ought self\". The interpretative repertoires in construction of the motherhood identity used by participants who were interviewed compared to the interpretative repertoires used in the social media data were both similar on some aspects and different on others. However, the subject positions used in both contexts did not differ. The results were discussed in relation to feminism in Turkey, previous studies on motherhood, self-presentation on social media.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"21 1","pages":"69-88"},"PeriodicalIF":1.1,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46247230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.4018/ijwsr.2020070104
Yin Li, Yuyin Ma, Ziyang Zeng
Edge computing is pushing the frontier of computing applications, data, and services away from centralized nodes to the logical extremes of a network. A major technological challenge for workflow scheduling in the edge computing environment is cost reduction with service-level-agreement (SLA) constraints in terms of performance and quality-of-service requirements because real-world workflow applications are constantly subject to negative impacts (e.g., network congestions, unexpected long message delays, shrinking coverage, range of edge servers due to battery depletion. To address the above concern, we propose a novel approach to location-aware and proximity-constrained multi-workflow scheduling with edge computing resources). The proposed approach is capable of minimizing monetary costs with user-required workflow completion deadlines. It employs an evolutionary algorithm (i.e., the discrete firefly algorithm) for the generation of near-optimal scheduling decisions. For the validation purpose, the authors show that our proposed approach outperforms traditional peers in terms multiple metrics based on a real-world dataset of edge resource locations and multiple well-known scientific workflow templates.
{"title":"A Novel Approach to Location-Aware Scheduling of Workflows Over Edge Computing Resources","authors":"Yin Li, Yuyin Ma, Ziyang Zeng","doi":"10.4018/ijwsr.2020070104","DOIUrl":"https://doi.org/10.4018/ijwsr.2020070104","url":null,"abstract":"Edge computing is pushing the frontier of computing applications, data, and services away from centralized nodes to the logical extremes of a network. A major technological challenge for workflow scheduling in the edge computing environment is cost reduction with service-level-agreement (SLA) constraints in terms of performance and quality-of-service requirements because real-world workflow applications are constantly subject to negative impacts (e.g., network congestions, unexpected long message delays, shrinking coverage, range of edge servers due to battery depletion. To address the above concern, we propose a novel approach to location-aware and proximity-constrained multi-workflow scheduling with edge computing resources). The proposed approach is capable of minimizing monetary costs with user-required workflow completion deadlines. It employs an evolutionary algorithm (i.e., the discrete firefly algorithm) for the generation of near-optimal scheduling decisions. For the validation purpose, the authors show that our proposed approach outperforms traditional peers in terms multiple metrics based on a real-world dataset of edge resource locations and multiple well-known scientific workflow templates.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"17 1","pages":"56-68"},"PeriodicalIF":1.1,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81992915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.4018/IJWSR.2020070103
Xiaoyan Ruan, Lin Xiao, Chuanmin Mi, Yue Lu
With the rapid development of information technology, microblog sentiment analysis (MSA) has become a popular research topic extensively examined in the literature. Microblogging messages are usually short, unstructured, contain less information, creating a significant challenge for the application of traditional content-based methods. In this study, the authors propose a novel method, MSA-USSR, in which user similarity information and interaction-based social relations information are combined to build sentiment relationships between microblogging data. They make use of these microblog–microblog sentiment relations to train the sentiment polarity classification classifier. Two Sina-Weibo datasets were utilized to verify the proposed model. The experimental results show that the proposed method has a better sentiment classification accuracy and F1-score than the content-based support vector machine (SVM) method and the state-of-the-art supervised model known as SANT.
{"title":"Microblog Sentiment Analysis Using User Similarity and Interaction-based Social Relations","authors":"Xiaoyan Ruan, Lin Xiao, Chuanmin Mi, Yue Lu","doi":"10.4018/IJWSR.2020070103","DOIUrl":"https://doi.org/10.4018/IJWSR.2020070103","url":null,"abstract":"With the rapid development of information technology, microblog sentiment analysis (MSA) has become a popular research topic extensively examined in the literature. Microblogging messages are usually short, unstructured, contain less information, creating a significant challenge for the application of traditional content-based methods. In this study, the authors propose a novel method, MSA-USSR, in which user similarity information and interaction-based social relations information are combined to build sentiment relationships between microblogging data. They make use of these microblog–microblog sentiment relations to train the sentiment polarity classification classifier. Two Sina-Weibo datasets were utilized to verify the proposed model. The experimental results show that the proposed method has a better sentiment classification accuracy and F1-score than the content-based support vector machine (SVM) method and the state-of-the-art supervised model known as SANT.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"83 1","pages":"39-55"},"PeriodicalIF":1.1,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76783507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.4018/ijwsr.2020070101
G. Bhandari, Ratneshwer Gupta
Fault prediction in Service Oriented Architecture (SOA) based systems is one of the important tasks to minimize the computation cost and time of the software system development. Predicting the faults and discovering their locations in the early stage of the system development lifecycle makes maintenance processes easy and improves the resource utilization. In this paper, the authors proposed the fault prediction model for SOA-based systems by utilizing the deep learning techniques. Twenty-one source code metrics are applied to different web services projects. The web services datasets are constructed by injecting the faults into it, and metrics are extracted for both faulty and nonfaulty data for training and testing purpose. Moreover, different deep learning techniques are inspected for fault prediction of web services and performance of different methods are compared by using standard performance measures. From the experimental results, it is observed that deep learning techniques provide effective results and applicable to the real-world SOA-based systems.
{"title":"Fault Prediction in SOA-Based Systems Using Deep Learning Techniques","authors":"G. Bhandari, Ratneshwer Gupta","doi":"10.4018/ijwsr.2020070101","DOIUrl":"https://doi.org/10.4018/ijwsr.2020070101","url":null,"abstract":"Fault prediction in Service Oriented Architecture (SOA) based systems is one of the important tasks to minimize the computation cost and time of the software system development. Predicting the faults and discovering their locations in the early stage of the system development lifecycle makes maintenance processes easy and improves the resource utilization. In this paper, the authors proposed the fault prediction model for SOA-based systems by utilizing the deep learning techniques. Twenty-one source code metrics are applied to different web services projects. The web services datasets are constructed by injecting the faults into it, and metrics are extracted for both faulty and nonfaulty data for training and testing purpose. Moreover, different deep learning techniques are inspected for fault prediction of web services and performance of different methods are compared by using standard performance measures. From the experimental results, it is observed that deep learning techniques provide effective results and applicable to the real-world SOA-based systems.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"3 1","pages":"1-19"},"PeriodicalIF":1.1,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83613660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.4018/ijwsr.2020070102
Zhengli Liu, Bing Li, Jian Wang, Yu Qiao
In recent years, crossover services have attracted wide attention as an emerging service mode in the modern service industry. Crossover services can offer values that cannot be provided by single-domain services, and they usually need to cross the boundaries of domains, organizations, and processes, which puts forward more challenges for requirements modeling and analysis under the crossover scenarios. Given the characteristics of crossover services, the authors propose a value-driven meta-model framework from multiple viewpoints to support the requirements analysis of crossover services, which consists of three parts: a value network, a goal network, and a service network. Based on the proposed meta-model framework, a value-driven crossover service modeling tool is developed to help requirements analysts in requirements analysis and design, and a case study is presented to illustrate the usage of the proposed approach. Finally, we evaluate our methods and tools using a controlled experiment, and the experimental results show the effectiveness of the approach.
{"title":"A Value-Driven Modeling Approach for Crossover Services","authors":"Zhengli Liu, Bing Li, Jian Wang, Yu Qiao","doi":"10.4018/ijwsr.2020070102","DOIUrl":"https://doi.org/10.4018/ijwsr.2020070102","url":null,"abstract":"In recent years, crossover services have attracted wide attention as an emerging service mode in the modern service industry. Crossover services can offer values that cannot be provided by single-domain services, and they usually need to cross the boundaries of domains, organizations, and processes, which puts forward more challenges for requirements modeling and analysis under the crossover scenarios. Given the characteristics of crossover services, the authors propose a value-driven meta-model framework from multiple viewpoints to support the requirements analysis of crossover services, which consists of three parts: a value network, a goal network, and a service network. Based on the proposed meta-model framework, a value-driven crossover service modeling tool is developed to help requirements analysts in requirements analysis and design, and a case study is presented to illustrate the usage of the proposed approach. Finally, we evaluate our methods and tools using a controlled experiment, and the experimental results show the effectiveness of the approach.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"14 1","pages":"20-38"},"PeriodicalIF":1.1,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83867343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.4018/ijwsr.2020040104
Dehui Du, Tong Guo, Yao Wang
Cyber physical systems (CPS's) are a kind of complex system with highly integrated interaction between computing resources and physical environment in a network environment. There are some challenges in modeling and simulation of heterogeneous CPS due to its hybrid and heterogenous characteristics. To address the issue, we propose an executable domain specific modeling language for co-simulation (DSML4CS) to model the co-simulation of CPS. According to the construction method of domain modeling language, we present the abstract syntax, concrete syntax and operational semantics of DSML4CS. We also propose a flexible co-simulation mechanism, which supports partial step revision of specific co-simulation process with the state event fault-tolerant mechanism. The co-simulation language for heterogeneous CPS is implemented based on the GEMOC platform. Our aim is to provide the co-simulation service in CPS. The usability of DSML4CS is illustrated with a case study of a temperature control system in an energy-aware building.
{"title":"DSML4CS","authors":"Dehui Du, Tong Guo, Yao Wang","doi":"10.4018/ijwsr.2020040104","DOIUrl":"https://doi.org/10.4018/ijwsr.2020040104","url":null,"abstract":"Cyber physical systems (CPS's) are a kind of complex system with highly integrated interaction between computing resources and physical environment in a network environment. There are some challenges in modeling and simulation of heterogeneous CPS due to its hybrid and heterogenous characteristics. To address the issue, we propose an executable domain specific modeling language for co-simulation (DSML4CS) to model the co-simulation of CPS. According to the construction method of domain modeling language, we present the abstract syntax, concrete syntax and operational semantics of DSML4CS. We also propose a flexible co-simulation mechanism, which supports partial step revision of specific co-simulation process with the state event fault-tolerant mechanism. The co-simulation language for heterogeneous CPS is implemented based on the GEMOC platform. Our aim is to provide the co-simulation service in CPS. The usability of DSML4CS is illustrated with a case study of a temperature control system in an energy-aware building.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijwsr.2020040104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70472190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.4018/IJWSR.2020040103
Widad Ettazi, M. Nassar, H. Hafiddi
Pervasive environments are characterized by limited computing resources and wireless connectivity. In parallel, current application domains have variable transactional requirements that do not fit the traditional ACID model. As a result, the pervasive environment characteristics are compelling and cannot be supported by conventional solutions that are typically dedicated to a specific application domain and support a limited set of context parameters. This article aims at providing a complete solution that addresses the challenges of the adaptability of context-aware transactional services “CATS” in pervasive environments. Thus, a new framework CATS-CAE was designed, which offers a comprehensive structure of multiple component chains. The adaptation strategy in CATS-CAE is based on a hybrid approach combining the use of adaptation policies, alternative strategy and behavioral adaptation of composite services through the “Profiled Task Class” concept. A probabilistic model is also presented to support the efficiency of the proposed approach.
{"title":"CATS-CAE Reflective Middleware Framework for Adapting Context-Aware Transactional Services: Using a Hybrid Policy-Based Approach","authors":"Widad Ettazi, M. Nassar, H. Hafiddi","doi":"10.4018/IJWSR.2020040103","DOIUrl":"https://doi.org/10.4018/IJWSR.2020040103","url":null,"abstract":"Pervasive environments are characterized by limited computing resources and wireless connectivity. In parallel, current application domains have variable transactional requirements that do not fit the traditional ACID model. As a result, the pervasive environment characteristics are compelling and cannot be supported by conventional solutions that are typically dedicated to a specific application domain and support a limited set of context parameters. This article aims at providing a complete solution that addresses the challenges of the adaptability of context-aware transactional services “CATS” in pervasive environments. Thus, a new framework CATS-CAE was designed, which offers a comprehensive structure of multiple component chains. The adaptation strategy in CATS-CAE is based on a hybrid approach combining the use of adaptation policies, alternative strategy and behavioral adaptation of composite services through the “Profiled Task Class” concept. A probabilistic model is also presented to support the efficiency of the proposed approach.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"41 1","pages":"40-58"},"PeriodicalIF":1.1,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77554391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.4018/IJWSR.2020040101
M. Benabdelhafid, Mahmoud Boufaïda
Service oriented architectures (SOA) and software as a service (SaaS) models are accelerating the use of the service concept. They have been rapidly adopted by enterprise resource planning (ERP) providers and offers to organizations modern environments favorable for making strategic decisions. However, as the SaaS concept is often confused with the SOA one, a solution is needed to clarify this problem before moving to the introduction of a framework that aggregates several services. Moreover, most of the services-based solutions rely on a particular composition and only a few are equipped with appropriate formal tools for automating the service verification. They focus on specific formal models and are based on particular properties. This article proposes a formal framework that reveals a set of general steps starting from defining the service composition before shifting to the use of the chosen formal methods so as to verify the ERP system properties.
{"title":"Applying Formal Methods to SOA and SaaS Service Compositions for ERP Systems","authors":"M. Benabdelhafid, Mahmoud Boufaïda","doi":"10.4018/IJWSR.2020040101","DOIUrl":"https://doi.org/10.4018/IJWSR.2020040101","url":null,"abstract":"Service oriented architectures (SOA) and software as a service (SaaS) models are accelerating the use of the service concept. They have been rapidly adopted by enterprise resource planning (ERP) providers and offers to organizations modern environments favorable for making strategic decisions. However, as the SaaS concept is often confused with the SOA one, a solution is needed to clarify this problem before moving to the introduction of a framework that aggregates several services. Moreover, most of the services-based solutions rely on a particular composition and only a few are equipped with appropriate formal tools for automating the service verification. They focus on specific formal models and are based on particular properties. This article proposes a formal framework that reveals a set of general steps starting from defining the service composition before shifting to the use of the chosen formal methods so as to verify the ERP system properties.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"3 1","pages":"1-17"},"PeriodicalIF":1.1,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74703531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.4018/ijwsr.2020010102
Aymen Akremi, Hassen Sallay, M. Rouached, R. Bouaziz
Digital forensics is an emerging research field involving critical technologies for obtaining evidence in digital crime investigations. Several methodologies, tools, and techniques have been developed to deal with the acquisition, preservation, examination, analysis, and presentation of digital evidence from different sources. However, new emerging infrastructures such as service-oriented architecture has brought new serious challenges for digital forensic research to ensure that evidence will be neutral, comprehensive, and reliable in such complex environment is a challenging research task. To address this issue, the authors propose in this article a generic conceptual model for digital forensics methodologies to enable their application in a service-oriented architecture. Challenges and requirements to construct a forensically sound evidence management framework for these environments are also discussed. Finally, the authors show how digital forensics standards and recommendations can be mapped to service-oriented architecture.
{"title":"Applying Digital Forensics to Service Oriented Architecture","authors":"Aymen Akremi, Hassen Sallay, M. Rouached, R. Bouaziz","doi":"10.4018/ijwsr.2020010102","DOIUrl":"https://doi.org/10.4018/ijwsr.2020010102","url":null,"abstract":"Digital forensics is an emerging research field involving critical technologies for obtaining evidence in digital crime investigations. Several methodologies, tools, and techniques have been developed to deal with the acquisition, preservation, examination, analysis, and presentation of digital evidence from different sources. However, new emerging infrastructures such as service-oriented architecture has brought new serious challenges for digital forensic research to ensure that evidence will be neutral, comprehensive, and reliable in such complex environment is a challenging research task. To address this issue, the authors propose in this article a generic conceptual model for digital forensics methodologies to enable their application in a service-oriented architecture. Challenges and requirements to construct a forensically sound evidence management framework for these environments are also discussed. Finally, the authors show how digital forensics standards and recommendations can be mapped to service-oriented architecture.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"15 1","pages":"17-42"},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84294621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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