This study aims to identify the types of illocutionary acts employed in both male and female beauty product advertisements on Instagram, as well as to discover the male and female customers’ perspectives on the linguistic features of the advertised products as shown in their comments. The data were taken from six (6) official Instagram accounts of beauty product brands, particularly 10 male and female product advertisements and the customers’ comments of those products. The data were analyzed qualitatively by categorizing and comparing the types of illocutionary acts employed in the advertisements. Moreover, the customers’ comments were analyzed based on the tone and context as well as the copywriting techniques used. The findings show that there are 3 types of illocutionary acts found in 10 advertisements: representatives, directives, and commissives. Male products have in total of 12 representative acts, 4 directives, and 1 commissive act, while female products used 12 representative acts, 5 directives, and 3 commissive acts. Furthermore, this study also found that both female and male customers give more positive comments toward each gender's products. However, there are no significant language differences between male and female products in their copywriting techniques. We hope that this study could provide insight on the use of illocutionary types, particularly in e-business and copywriting, to get a better understanding of the hidden intention behind the advertisements as well as to provide sufficient information for the readers to explore.
{"title":"Language in E-Business: Gender-Based Perspectives of Male and Female Beauty Products’ Advertisement on Instagram: The Linguistic Features and Copywriting Differences in Marketing","authors":"Valentina Wijaya, C. H. Karjo","doi":"10.1145/3599609.3599614","DOIUrl":"https://doi.org/10.1145/3599609.3599614","url":null,"abstract":"This study aims to identify the types of illocutionary acts employed in both male and female beauty product advertisements on Instagram, as well as to discover the male and female customers’ perspectives on the linguistic features of the advertised products as shown in their comments. The data were taken from six (6) official Instagram accounts of beauty product brands, particularly 10 male and female product advertisements and the customers’ comments of those products. The data were analyzed qualitatively by categorizing and comparing the types of illocutionary acts employed in the advertisements. Moreover, the customers’ comments were analyzed based on the tone and context as well as the copywriting techniques used. The findings show that there are 3 types of illocutionary acts found in 10 advertisements: representatives, directives, and commissives. Male products have in total of 12 representative acts, 4 directives, and 1 commissive act, while female products used 12 representative acts, 5 directives, and 3 commissive acts. Furthermore, this study also found that both female and male customers give more positive comments toward each gender's products. However, there are no significant language differences between male and female products in their copywriting techniques. We hope that this study could provide insight on the use of illocutionary types, particularly in e-business and copywriting, to get a better understanding of the hidden intention behind the advertisements as well as to provide sufficient information for the readers to explore.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90674106","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}
COVID-19 has a significant impact on consumer shopping behavior in retail markets. In this paper, we consider a competitive market consisting of brick-and-mortar retailer and online retailer, and use game theory to construct a Hotelling model in a competitive situation. Three decision models of no government subsidy, consumer subsidy, and brick-and-mortar retailer subsidy are considered to explore the effects of consumer social distance preferences and government subsidy strategies on retailer pricing and epidemic prevention service levels. The results show that subsidizing consumers will not lead to better socio-economic development, but it will definitely benefit the operation of B&M retailer. To some extent, the cost subsidy of epidemic prevention services for B&M retailer can improve the economic level of society.
{"title":"Government subsidy strategy based on competitive retail market during COVID-19","authors":"Yuan Song, Huihui Wang","doi":"10.1145/3599609.3599632","DOIUrl":"https://doi.org/10.1145/3599609.3599632","url":null,"abstract":"COVID-19 has a significant impact on consumer shopping behavior in retail markets. In this paper, we consider a competitive market consisting of brick-and-mortar retailer and online retailer, and use game theory to construct a Hotelling model in a competitive situation. Three decision models of no government subsidy, consumer subsidy, and brick-and-mortar retailer subsidy are considered to explore the effects of consumer social distance preferences and government subsidy strategies on retailer pricing and epidemic prevention service levels. The results show that subsidizing consumers will not lead to better socio-economic development, but it will definitely benefit the operation of B&M retailer. To some extent, the cost subsidy of epidemic prevention services for B&M retailer can improve the economic level of society.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87700386","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}
Internet of Things (IoT) based liquid cleaning dispensers are being increasingly used in public buildings for personal sanitation purposes. However, it is not always easy for facility managers to keep track of, as well as predict product usage. Most devices deployed at facilities still require the facility/building manager or staff at the facility, to check the devices from time to time. In recent years, the need to effectively utilize these devices as well as anticipate usage rates has become necessary because the time lag between refilling the dispensers and their being out of service can pose health risks. This paper thus explores how machine learning (ML) algorithms can be applied to improve the availability of IoT-based liquid cleaning dispensers. The goal of the paper is to apply machine learning in predicting the daily usage volumes of cleaning solutions, thereby increasing the efficiency of the cleaning dispensers. The paper compares different machine learning algorithms to determine the best algorithm for predicting the usage patterns of IoT-based cleaning dispensers, thereby, develops a predictive model that can be applied to improve the availability of cleaning products in IoT-based dispensers. The results of the analysis show that the Random Forest algorithm performed best among the evaluated models using regression performance measures. Hence, ML algorithms can be applied to help building or sanitation managers improve the availability of cleaning products in IoT-based cleaning dispensers, ultimately improving the user experience.
{"title":"The Application of Machine Learning Algorithms in Predicting the Usage of IoT-based Cleaning Dispensers: Machine Learning Algorithms in Predicting the Usage if IoT-based Dispensers","authors":"Tobechi Obinwanne, Chibuzor Udokwu, P. Brandtner","doi":"10.1145/3599609.3599637","DOIUrl":"https://doi.org/10.1145/3599609.3599637","url":null,"abstract":"Internet of Things (IoT) based liquid cleaning dispensers are being increasingly used in public buildings for personal sanitation purposes. However, it is not always easy for facility managers to keep track of, as well as predict product usage. Most devices deployed at facilities still require the facility/building manager or staff at the facility, to check the devices from time to time. In recent years, the need to effectively utilize these devices as well as anticipate usage rates has become necessary because the time lag between refilling the dispensers and their being out of service can pose health risks. This paper thus explores how machine learning (ML) algorithms can be applied to improve the availability of IoT-based liquid cleaning dispensers. The goal of the paper is to apply machine learning in predicting the daily usage volumes of cleaning solutions, thereby increasing the efficiency of the cleaning dispensers. The paper compares different machine learning algorithms to determine the best algorithm for predicting the usage patterns of IoT-based cleaning dispensers, thereby, develops a predictive model that can be applied to improve the availability of cleaning products in IoT-based dispensers. The results of the analysis show that the Random Forest algorithm performed best among the evaluated models using regression performance measures. Hence, ML algorithms can be applied to help building or sanitation managers improve the availability of cleaning products in IoT-based cleaning dispensers, ultimately improving the user experience.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83848076","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}
ABSTRACT-Fractional investment, a relatively new investment method, has been gaining attention to young retail investors, as it allows investors to buy split ownership of a whole asset that they can invest on expensive assets, such as buildings, artworks, or IP, in a small amount of money. Takes MUSICOW, the first music copyrights fractional trading platform in Korea, as a case study, this paper analyzed the basic operation model, elements for innovations, as well as risk factors of such IP-based fractional investment platform and predicted that MUSICOW could become a template in the industry, and based on its experience, more such platforms would be launched in the near future.
{"title":"When Fractional Investment Platform Meets Intellectual Property Assets: A Case Study on MUSICOW","authors":"Yana Pei","doi":"10.1145/3599609.3599622","DOIUrl":"https://doi.org/10.1145/3599609.3599622","url":null,"abstract":"ABSTRACT-Fractional investment, a relatively new investment method, has been gaining attention to young retail investors, as it allows investors to buy split ownership of a whole asset that they can invest on expensive assets, such as buildings, artworks, or IP, in a small amount of money. Takes MUSICOW, the first music copyrights fractional trading platform in Korea, as a case study, this paper analyzed the basic operation model, elements for innovations, as well as risk factors of such IP-based fractional investment platform and predicted that MUSICOW could become a template in the industry, and based on its experience, more such platforms would be launched in the near future.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83091080","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}
Recently, with the rapid development and use of technology in network infrastructures, Macao is being transformed into a smart city progressively, even though it is recognized as a World heritage city for its architectural wonders and rich cultural traditions. The benefits of machine learning technology open up new avenues for environmental monitoring, such as weather forecasting, early extreme or severe weather alerts and safeguards, disaster mitigation enhancement, and technological revolution as part of overall smart city planning in Macao. This study focuses on the evolution of artificial intelligence, the important use of machine learning technology in the field of meteorology, and suggestions on the major future development trends in Macao to the migration of a smart city.We discussed solutions tackling the problems in weather forecasting in Macao while creating advances in its transformation to be a smarter city, starting with the essence of machine learning and turning challenges into opportunities.
{"title":"Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning","authors":"Vai-Kei Ian, Rita Tse, Su-Kit Tang, Giovanni Pau","doi":"10.1145/3599609.3599620","DOIUrl":"https://doi.org/10.1145/3599609.3599620","url":null,"abstract":"Recently, with the rapid development and use of technology in network infrastructures, Macao is being transformed into a smart city progressively, even though it is recognized as a World heritage city for its architectural wonders and rich cultural traditions. The benefits of machine learning technology open up new avenues for environmental monitoring, such as weather forecasting, early extreme or severe weather alerts and safeguards, disaster mitigation enhancement, and technological revolution as part of overall smart city planning in Macao. This study focuses on the evolution of artificial intelligence, the important use of machine learning technology in the field of meteorology, and suggestions on the major future development trends in Macao to the migration of a smart city.We discussed solutions tackling the problems in weather forecasting in Macao while creating advances in its transformation to be a smarter city, starting with the essence of machine learning and turning challenges into opportunities.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89422674","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}
Kaveepon Chaichana, P. Netinant, Sorapak Pukdesree
Integrating the internet of things (IoT) technology has played a crucial role in developing smart devices such as smartphones, automobiles, smart homes, and artificial intelligence. As a result, researchers have investigated IoT-based home security system development. This research aims to create a system that uses Raspberry Pi, a small computer board, and various sensors to detect intruders and notify users via the internet. The Python programming language and OpenCV library were used to develop the system, which uses a camera and PIR (Passive Infrared Sensor) to detect faces and motion, respectively. The proposed system is designed to monitor specific areas and can be implemented in future home security innovations. In addition, the system sends notifications to users via Line Notify, enabling developers to send messages to LINE users via an API, thereby enhancing the security of homeowners. Utilizing the capabilities of IoT technology, the results of this study are to develop a cost-effective and efficient home security solution.
{"title":"Design and Implementation of an IoT-Based Surveillance System using Raspberry Pi, Camera, and Motion Sensor","authors":"Kaveepon Chaichana, P. Netinant, Sorapak Pukdesree","doi":"10.1145/3599609.3599638","DOIUrl":"https://doi.org/10.1145/3599609.3599638","url":null,"abstract":"Integrating the internet of things (IoT) technology has played a crucial role in developing smart devices such as smartphones, automobiles, smart homes, and artificial intelligence. As a result, researchers have investigated IoT-based home security system development. This research aims to create a system that uses Raspberry Pi, a small computer board, and various sensors to detect intruders and notify users via the internet. The Python programming language and OpenCV library were used to develop the system, which uses a camera and PIR (Passive Infrared Sensor) to detect faces and motion, respectively. The proposed system is designed to monitor specific areas and can be implemented in future home security innovations. In addition, the system sends notifications to users via Line Notify, enabling developers to send messages to LINE users via an API, thereby enhancing the security of homeowners. Utilizing the capabilities of IoT technology, the results of this study are to develop a cost-effective and efficient home security solution.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79277183","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}
With the rapid development of Internet technology and digital economy, the gig economy has also entered a new era of development. The traditional gig economy has been transforming to the Internet gig economy, thus entering a new “gig age”. In addition to the empowerment of the digital economy, the emergence of the Covid-19 has also pushed the development of the gig economy. However, while many opportunities have emerged, the gig economy has also faced with different challenges from many parties. This article mainly discusses the status and impact of the new gig economy in the context of the Covid-19, analyzes the development trend, opportunities and challenges of the gig economy in the post-epidemic era, and proposes countermeasures and suggestions on how to promote the healthy and sustainable development of the gig economy. In the future, the new gig economy will gradually become an important force to promote “new employment patterns” and a new boost to promote the high-quality development of the national economy.
{"title":"Impact of COVID-19 on the Gig Economy in China: Challenges and Coping Strategies: Impact of COVID-19 on the Gig Economy in China","authors":"Xiaohong Lu","doi":"10.1145/3599609.3599627","DOIUrl":"https://doi.org/10.1145/3599609.3599627","url":null,"abstract":"With the rapid development of Internet technology and digital economy, the gig economy has also entered a new era of development. The traditional gig economy has been transforming to the Internet gig economy, thus entering a new “gig age”. In addition to the empowerment of the digital economy, the emergence of the Covid-19 has also pushed the development of the gig economy. However, while many opportunities have emerged, the gig economy has also faced with different challenges from many parties. This article mainly discusses the status and impact of the new gig economy in the context of the Covid-19, analyzes the development trend, opportunities and challenges of the gig economy in the post-epidemic era, and proposes countermeasures and suggestions on how to promote the healthy and sustainable development of the gig economy. In the future, the new gig economy will gradually become an important force to promote “new employment patterns” and a new boost to promote the high-quality development of the national economy.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76932237","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}
To understand the impact of the pandemic on different stocks ‘relative risks, we analyze the stock market by comparing pre-covid and post-covid statistics. By using the Capital Asset Pricing Model (CAPM) [1] to fit our data, our result shows interesting trends on both individual and industry levels. There are three significant implications of the result of our research: 1)The R-Square of most stocks’ increased after the outbreak of Covid; 2)The consumer staples, real estate, and utilities sectors experienced a much more significant increase in R-square than other sectors; 3)Companies with stocks with a more significant decrease in their CAPM's β factor are less negatively influenced by COVID-19, and companies with stocks with a more significant increase in their CAPM's β factor are in the utilities and real estate sectors.
{"title":"Covid 19’s Impact on Stocks'Relative Risks","authors":"Haoran Chu","doi":"10.1145/3599609.3599628","DOIUrl":"https://doi.org/10.1145/3599609.3599628","url":null,"abstract":"To understand the impact of the pandemic on different stocks ‘relative risks, we analyze the stock market by comparing pre-covid and post-covid statistics. By using the Capital Asset Pricing Model (CAPM) [1] to fit our data, our result shows interesting trends on both individual and industry levels. There are three significant implications of the result of our research: 1)The R-Square of most stocks’ increased after the outbreak of Covid; 2)The consumer staples, real estate, and utilities sectors experienced a much more significant increase in R-square than other sectors; 3)Companies with stocks with a more significant decrease in their CAPM's β factor are less negatively influenced by COVID-19, and companies with stocks with a more significant increase in their CAPM's β factor are in the utilities and real estate sectors.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"142 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76075390","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}
P. Netinant, Patthanan Prajaksuvithee, Sorapak Pukdesree
The increasing importance of digital library systems in education has made the design and development of these systems a crucial task. To address the challenges faced in this process, the authors propose the utilization of the Information Flow Diagram (IFD) approach in the design and development of a graduate digital library system. This research provides a comprehensive overview of the IFD approach and its potential benefits in digital library system design and development. Our detailed case study demonstrates the feasibility and effectiveness of the proposed approach. The authors also conduct a comparative analysis between the IFD approach and traditional methods to evaluate the contributions and limitations of each approach. User studies were conducted to assess the usability and effectiveness of the digital library system designed using the IFD approach. The results indicate that the IFD approach is a promising method for designing and developing graduate digital library systems, offering a highly usable and effective system. Overall, this research highlights the potential of the IFD approach in digital library system design and development.
{"title":"Exploring the Potential of Information Flow Diagram (IFD) in Graduate Digital Library System Design and Development","authors":"P. Netinant, Patthanan Prajaksuvithee, Sorapak Pukdesree","doi":"10.1145/3599609.3599634","DOIUrl":"https://doi.org/10.1145/3599609.3599634","url":null,"abstract":"The increasing importance of digital library systems in education has made the design and development of these systems a crucial task. To address the challenges faced in this process, the authors propose the utilization of the Information Flow Diagram (IFD) approach in the design and development of a graduate digital library system. This research provides a comprehensive overview of the IFD approach and its potential benefits in digital library system design and development. Our detailed case study demonstrates the feasibility and effectiveness of the proposed approach. The authors also conduct a comparative analysis between the IFD approach and traditional methods to evaluate the contributions and limitations of each approach. User studies were conducted to assess the usability and effectiveness of the digital library system designed using the IFD approach. The results indicate that the IFD approach is a promising method for designing and developing graduate digital library systems, offering a highly usable and effective system. Overall, this research highlights the potential of the IFD approach in digital library system design and development.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89228345","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}
During the covid-19 epidemic, open government data (OGD) has become the focus of the world, and users’ participation in value co-creation of open government data platform(OGDP) will help to release the value of data. The purpose of this paper is to evaluate the outcome of users’ participation in value co-creation of OGDP, then it follows analytic hierarchy process (AHP) to construct a hierarchical model from three perspectives, government to users, users to government, users to users, which totally includes 7 dimensions and 22 criteria. TOPSIS is used to rank effect of users’ participation in value co-creation of 4 OGDPs. Finally, it puts forward some suggestions for open government data platform, such as data reuse, promoting cross-border cooperation of government data, and encouraging users to become co-creators of the platform.
{"title":"Evaluation of Users’ Participation in Value Co-creation of Open Government Data Platform","authors":"Ting Shao, Peiting Yang, Hongbo Jiang","doi":"10.1145/3599609.3599617","DOIUrl":"https://doi.org/10.1145/3599609.3599617","url":null,"abstract":"During the covid-19 epidemic, open government data (OGD) has become the focus of the world, and users’ participation in value co-creation of open government data platform(OGDP) will help to release the value of data. The purpose of this paper is to evaluate the outcome of users’ participation in value co-creation of OGDP, then it follows analytic hierarchy process (AHP) to construct a hierarchical model from three perspectives, government to users, users to government, users to users, which totally includes 7 dimensions and 22 criteria. TOPSIS is used to rank effect of users’ participation in value co-creation of 4 OGDPs. Finally, it puts forward some suggestions for open government data platform, such as data reuse, promoting cross-border cooperation of government data, and encouraging users to become co-creators of the platform.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84111208","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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