Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00142
Aixia Yang
With the progress and development of society, human beings have entered a risk society. It is a significant educational topic for Chinese universities to educate and guarantee the safety of college students in a social environment full of potential risks. This paper analyzes the connotation of college students’ safety education from the prospective of risk sociology, summarizes the types of Chinese college students’ safety risks and proposes the implementation of college students’ safety education strategies from the aspects of safety consciousness education and technology education.
{"title":"Study on Safety Education for College Students Based on Risk Society Theory","authors":"Aixia Yang","doi":"10.1109/ICUEMS50872.2020.00142","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00142","url":null,"abstract":"With the progress and development of society, human beings have entered a risk society. It is a significant educational topic for Chinese universities to educate and guarantee the safety of college students in a social environment full of potential risks. This paper analyzes the connotation of college students’ safety education from the prospective of risk sociology, summarizes the types of Chinese college students’ safety risks and proposes the implementation of college students’ safety education strategies from the aspects of safety consciousness education and technology education.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"728 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122004187","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00112
Guo Chen, Lu Zhang, Yijun Zhong
In manufacturing outsourcing among supply chain enterprises, the supplier may misappropriate the knowledge shared by the manufacturer. Consider this knowledge misappropriation, we develop two Stackelberg game models to explore the profits of a manufacturer and a supplier selected from alternative suppliers under a wholesale price contract and a revenue sharing contract. We discuss the influence of knowledge misappropriation on the conditions when each alternative supplier can provide the optimal wholesale price contract or the optimal revenue sharing contract that makes both sides profitable, and then analyze the influence of knowledge misappropriation on the conditions when the manufacturer should select the supplier who provides the optimal wholesale price contract or the optimal revenue sharing contract. This paper contributes to the research on manufacturing outsourcing among supply chain enterprises.
{"title":"Selection of the Manufacturing Outsourcing Contract Considering Knowledge Misappropriation","authors":"Guo Chen, Lu Zhang, Yijun Zhong","doi":"10.1109/ICUEMS50872.2020.00112","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00112","url":null,"abstract":"In manufacturing outsourcing among supply chain enterprises, the supplier may misappropriate the knowledge shared by the manufacturer. Consider this knowledge misappropriation, we develop two Stackelberg game models to explore the profits of a manufacturer and a supplier selected from alternative suppliers under a wholesale price contract and a revenue sharing contract. We discuss the influence of knowledge misappropriation on the conditions when each alternative supplier can provide the optimal wholesale price contract or the optimal revenue sharing contract that makes both sides profitable, and then analyze the influence of knowledge misappropriation on the conditions when the manufacturer should select the supplier who provides the optimal wholesale price contract or the optimal revenue sharing contract. This paper contributes to the research on manufacturing outsourcing among supply chain enterprises.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122202876","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00125
Bing Zhang
Nowadays, the vulnerability in the software upgrade process are extremely harmful to network security. However, the detection of upgrade vulnerability is facing serious difficulties and problems. Aiming at the current software upgrade vulnerability analysis problem, we propose a neural network model for traffic classification based on two levels of data packets and network flows. This method does not need to manually extract features and can learn the dependency relationship between data packets and networks well. It can make full use of comprehensive flow features for traffic classification. In order to evaluate the model, we built a dataset of software upgrade vulnerabilities and conducted relevant experiments on the CICIDS 2017 dataset. The experimental results show that compared with other RNN models, our model has the best performance, reaching a precision of 99.86% and an F1 score of 99.44%. At the same time, based on the pre-trained model, we use the software upgrade vulnerability dataset to fine-tuning the model, with the F1 score reaching 99.78%.
{"title":"A Software Upgrade Security Analysis Method on Network Traffic Classification using Deep Learning","authors":"Bing Zhang","doi":"10.1109/ICUEMS50872.2020.00125","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00125","url":null,"abstract":"Nowadays, the vulnerability in the software upgrade process are extremely harmful to network security. However, the detection of upgrade vulnerability is facing serious difficulties and problems. Aiming at the current software upgrade vulnerability analysis problem, we propose a neural network model for traffic classification based on two levels of data packets and network flows. This method does not need to manually extract features and can learn the dependency relationship between data packets and networks well. It can make full use of comprehensive flow features for traffic classification. In order to evaluate the model, we built a dataset of software upgrade vulnerabilities and conducted relevant experiments on the CICIDS 2017 dataset. The experimental results show that compared with other RNN models, our model has the best performance, reaching a precision of 99.86% and an F1 score of 99.44%. At the same time, based on the pre-trained model, we use the software upgrade vulnerability dataset to fine-tuning the model, with the F1 score reaching 99.78%.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"13 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126116190","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00039
Yingda Wang
There are rich rural tourism resources in Southern Anhui Province, including water tourism resources, ancient town tourism resources, opera tourism resources, etc. These tourism resources lead to the promoting of the economic development, labor employment and regional exchange in Southern Anhui Province. Since February 2014, the planning outline for the construction and development of the international cultural tourism demonstration in southern Anhui Province has been officially promulgated and implemented. It is proposed to build the zone into a world-class tourism destination and provide a demonstration for the construction of a beautiful China. The development of Wannan international cultural tourism demonstration area has entered a fast track. However, due to the rapid development of rural tourism in southern Anhui Province, a series of achievements have been made, and at the same time, problems related to ecological environment protection have gradually emerged. How to protect the ecological environment will become the key to promote the sustainable development of rural tourism in southern Anhui Province in the future.
{"title":"On the Coordinated Development Mechanism of Rural Tourism Development and Ecological Environment Protection in the International Cultural Tourism Demonstration Area in Southern Anhui Province","authors":"Yingda Wang","doi":"10.1109/ICUEMS50872.2020.00039","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00039","url":null,"abstract":"There are rich rural tourism resources in Southern Anhui Province, including water tourism resources, ancient town tourism resources, opera tourism resources, etc. These tourism resources lead to the promoting of the economic development, labor employment and regional exchange in Southern Anhui Province. Since February 2014, the planning outline for the construction and development of the international cultural tourism demonstration in southern Anhui Province has been officially promulgated and implemented. It is proposed to build the zone into a world-class tourism destination and provide a demonstration for the construction of a beautiful China. The development of Wannan international cultural tourism demonstration area has entered a fast track. However, due to the rapid development of rural tourism in southern Anhui Province, a series of achievements have been made, and at the same time, problems related to ecological environment protection have gradually emerged. How to protect the ecological environment will become the key to promote the sustainable development of rural tourism in southern Anhui Province in the future.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121071203","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00150
Ping He
In this paper, a COVID-19 risk prevention and control decision-making model is proposed according to the incompatible characteristics of epidemic risk prediction. Firstly, the uncertainty attribute of epidemic risk was analyzed through the collection of information on the personnel flow, and the problem that the risk of the epidemic could not be accurately predicted due to the uncertainty of the personnel flow was solved, and emergency prevention and control countermeasures were proposed for the possible COVID-19. Secondly, a model of epidemic risk prevention and control analysis is established by using correlation function method, which provides a new research method for risk prevention and control of public health security.
{"title":"Study on Epidemic Prevention and Control Strategy of COVID -19 Based on Personnel Flow Prediction","authors":"Ping He","doi":"10.1109/ICUEMS50872.2020.00150","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00150","url":null,"abstract":"In this paper, a COVID-19 risk prevention and control decision-making model is proposed according to the incompatible characteristics of epidemic risk prediction. Firstly, the uncertainty attribute of epidemic risk was analyzed through the collection of information on the personnel flow, and the problem that the risk of the epidemic could not be accurately predicted due to the uncertainty of the personnel flow was solved, and emergency prevention and control countermeasures were proposed for the possible COVID-19. Secondly, a model of epidemic risk prevention and control analysis is established by using correlation function method, which provides a new research method for risk prevention and control of public health security.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":" 31","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051701","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00061
Wang Liang, Guo Fei, H. Jianjun, Z. Zhimin
On the basis of recognizing importance of safe operation in power grid, more comprehensive evaluation index system is built in this paper for power grid engineering operations. Moreover, interval analytic hierarchy process is used to determine weight of evaluation index, which greatly reduces influence of subjective factors and makes evaluation index more scientific and reasonable. Besides, concept of interval number is introduced to minimize influence of subjective factors in determining weight of evaluation indicators. In addition, power grid operation is divided into four subsystems structure, equipment, management, and environment so that comprehensive evaluation and research on grid operation risks can be performed. What’s more, factors affecting power grid engineering are divided into static influence factors in which structure of power grid and operating status of equipment are concluded and dynamic influence factors where external environment and internal management are involved. Additionally, according to characteristics and requirements of power grid engineering, matter-element extension method is used to construct evaluation model and calculate its correlation degree. Besides it, combined with examples to prove applicability of model, it is pertinently pointed out that operation and maintenance management of equipment need to be strengthened so that professionalism and skills of management personnel can be improved, and safe and stable operation of power grid will be guaranteed.
{"title":"Automatic Monitoring of Grid Operation Risks Based on Data Mining","authors":"Wang Liang, Guo Fei, H. Jianjun, Z. Zhimin","doi":"10.1109/ICUEMS50872.2020.00061","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00061","url":null,"abstract":"On the basis of recognizing importance of safe operation in power grid, more comprehensive evaluation index system is built in this paper for power grid engineering operations. Moreover, interval analytic hierarchy process is used to determine weight of evaluation index, which greatly reduces influence of subjective factors and makes evaluation index more scientific and reasonable. Besides, concept of interval number is introduced to minimize influence of subjective factors in determining weight of evaluation indicators. In addition, power grid operation is divided into four subsystems structure, equipment, management, and environment so that comprehensive evaluation and research on grid operation risks can be performed. What’s more, factors affecting power grid engineering are divided into static influence factors in which structure of power grid and operating status of equipment are concluded and dynamic influence factors where external environment and internal management are involved. Additionally, according to characteristics and requirements of power grid engineering, matter-element extension method is used to construct evaluation model and calculate its correlation degree. Besides it, combined with examples to prove applicability of model, it is pertinently pointed out that operation and maintenance management of equipment need to be strengthened so that professionalism and skills of management personnel can be improved, and safe and stable operation of power grid will be guaranteed.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127744768","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00117
Yu Zhang, Shuran Lv
Due to the characteristics of large commercial complex, such as large building scale, large amount of combustibles and large flow of people, fire accidents occur from time to time, but the mechanism of accident risk coupling disaster is still unclear. Based on the above problems, the risk coupling analysis of human, equipment, environment and management factors affecting the fire safety of large commercial complex is carried out, and the probability and risk value of different risk coupling situations are calculated by using the N-K Model. The results show that human is the key coupling factor; multi-factor risk coupling will increase the probability of accidents; at the same time, the coupling form with strong coupling should be avoided..
{"title":"Study on Fire Risk Coupling Mechanism of Large Commercial Complex","authors":"Yu Zhang, Shuran Lv","doi":"10.1109/ICUEMS50872.2020.00117","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00117","url":null,"abstract":"Due to the characteristics of large commercial complex, such as large building scale, large amount of combustibles and large flow of people, fire accidents occur from time to time, but the mechanism of accident risk coupling disaster is still unclear. Based on the above problems, the risk coupling analysis of human, equipment, environment and management factors affecting the fire safety of large commercial complex is carried out, and the probability and risk value of different risk coupling situations are calculated by using the N-K Model. The results show that human is the key coupling factor; multi-factor risk coupling will increase the probability of accidents; at the same time, the coupling form with strong coupling should be avoided..","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115520463","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00147
Gongguo Zhang, Enyan Li
With the rapid development of the Internet, the “Internet +” model has been widely used. A new generation of security technology such as intrusion detection is urgently needed to ensure information security. In order to improve the detection efficiency of intrusion detection, IDS Snort research based on the classic clustering algorithm was performed. First, the traditional clustering algorithm, Kmeans algorithm, itself has some uncertain factors. The algorithm is optimized to make it better used in IDS Snort. Second, Combining the improved Kmeans algorithm with intrusion detection technology to improve Snort and analyze the advantages of applied to IDS Snort. Finally, the experimental results show that compared with the traditional Snort, the improved Snort has a significantly improved detection efficiency, which makes the intrusion detection technology further and the information security more reliable.
{"title":"Research on IDS Snort Based on Classic Clustering Algorithm","authors":"Gongguo Zhang, Enyan Li","doi":"10.1109/ICUEMS50872.2020.00147","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00147","url":null,"abstract":"With the rapid development of the Internet, the “Internet +” model has been widely used. A new generation of security technology such as intrusion detection is urgently needed to ensure information security. In order to improve the detection efficiency of intrusion detection, IDS Snort research based on the classic clustering algorithm was performed. First, the traditional clustering algorithm, Kmeans algorithm, itself has some uncertain factors. The algorithm is optimized to make it better used in IDS Snort. Second, Combining the improved Kmeans algorithm with intrusion detection technology to improve Snort and analyze the advantages of applied to IDS Snort. Finally, the experimental results show that compared with the traditional Snort, the improved Snort has a significantly improved detection efficiency, which makes the intrusion detection technology further and the information security more reliable.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115661527","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00163
Xueli Liu, Jijun You
During mining of contiguous outburst coal seams, a large amount of pressure relief gas near the seam was poured into the working face through roof and floor fractures. Consequently, substantial gas is emitted to the working face, leading to frequent alarm of methane sensors in the return air corner and in the return airway, Which seriously restricts the safe production of mines. In this study, through analysis and demonstration of several gas control schemes, the scheme took the whole coal seam group as a control unit and regarded the weak outburst coal seam with relatively small thickness and low gas content as the key protective seam. Meanwhile, in the scheme, three-dimensional borehole drainage was carried out to realize progressive protection. The field practice results showed that the gas drainage rate of the working face of protective seam reached over 90%; the gas concentration in the return air corner fell to below 0.6%; the maximum gas concentration in the return air flow was 0.15%; Meanwhile, the scheme fundamentally solved the gas-induced safety threats during the recovery of working face of protected seam.
{"title":"Study on Optimum Technology of Gas Control in Contiguous Outburst Coal Seams","authors":"Xueli Liu, Jijun You","doi":"10.1109/ICUEMS50872.2020.00163","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00163","url":null,"abstract":"During mining of contiguous outburst coal seams, a large amount of pressure relief gas near the seam was poured into the working face through roof and floor fractures. Consequently, substantial gas is emitted to the working face, leading to frequent alarm of methane sensors in the return air corner and in the return airway, Which seriously restricts the safe production of mines. In this study, through analysis and demonstration of several gas control schemes, the scheme took the whole coal seam group as a control unit and regarded the weak outburst coal seam with relatively small thickness and low gas content as the key protective seam. Meanwhile, in the scheme, three-dimensional borehole drainage was carried out to realize progressive protection. The field practice results showed that the gas drainage rate of the working face of protective seam reached over 90%; the gas concentration in the return air corner fell to below 0.6%; the maximum gas concentration in the return air flow was 0.15%; Meanwhile, the scheme fundamentally solved the gas-induced safety threats during the recovery of working face of protected seam.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125795461","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}
Pub Date : 2020-04-01DOI: 10.1109/ICUEMS50872.2020.00038
Bing Liu, Chengli Zheng
The comprehensive management of coal mining subsidence area is a special problem in the sustainable development of coal resource-based cities. The construction of its statistical system will help government departments to grasp the present situation, problems and policy effects of comprehensive management of coal mining subsidence area more comprehensively, and provide basis for decision-making. Firstly, the statistical framework of comprehensive management of mining subsidence area is constructed based on “pressure-state-response” framework. Then, the statistical scope and contents of comprehensive management of mining subsidence area are determined. Finally, the statistical investigation system and method of comprehensive management of mining subsidence area are put forward.
{"title":"Construction of Statistical System for Comprehensive Control of Coal Mining Subsidence Area Based on Pressure-State-Response Conceptual Framework","authors":"Bing Liu, Chengli Zheng","doi":"10.1109/ICUEMS50872.2020.00038","DOIUrl":"https://doi.org/10.1109/ICUEMS50872.2020.00038","url":null,"abstract":"The comprehensive management of coal mining subsidence area is a special problem in the sustainable development of coal resource-based cities. The construction of its statistical system will help government departments to grasp the present situation, problems and policy effects of comprehensive management of coal mining subsidence area more comprehensively, and provide basis for decision-making. Firstly, the statistical framework of comprehensive management of mining subsidence area is constructed based on “pressure-state-response” framework. Then, the statistical scope and contents of comprehensive management of mining subsidence area are determined. Finally, the statistical investigation system and method of comprehensive management of mining subsidence area are put forward.","PeriodicalId":285594,"journal":{"name":"2020 International Conference on Urban Engineering and Management Science (ICUEMS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125963603","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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