Mass customization is essential for smart manufacturing. In particular, generating demand forecast is undoubtedly the most important part of any industry. Appropriate demand forecasts make S&OP quality, which greatly contributes to overall corporate management. In addition, proper stock can be maintained to save the costs of maintaining multiple warehouses. In this paper, we find out why mass customization is needed in smart manufacturing and find appropriate demand forecasting techniques by comparing the traditional time series technique ARIMA analysis with the nonlinear network model. Afterwards, the company develops an algorithm to evaluate the sales process by finalizing the production plan by evaluating the expected inventory through mathematical modelling.
{"title":"Demand Forecasting Based on Machine Learning for Mass Customization in Smart Manufacturing","authors":"Myungsoo Kim, Jongpil Jeong, Sang-Pil Bae","doi":"10.1145/3335656.3335658","DOIUrl":"https://doi.org/10.1145/3335656.3335658","url":null,"abstract":"Mass customization is essential for smart manufacturing. In particular, generating demand forecast is undoubtedly the most important part of any industry. Appropriate demand forecasts make S&OP quality, which greatly contributes to overall corporate management. In addition, proper stock can be maintained to save the costs of maintaining multiple warehouses. In this paper, we find out why mass customization is needed in smart manufacturing and find appropriate demand forecasting techniques by comparing the traditional time series technique ARIMA analysis with the nonlinear network model. Afterwards, the company develops an algorithm to evaluate the sales process by finalizing the production plan by evaluating the expected inventory through mathematical modelling.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121757088","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}
Waste incineration power generation, as a waste disposal method of "reduction, harmlessness and resource utilization", is an important measure to improve national well-being index and guarantee the achievement of overall well-off struggle. However, in the process of project promotion, it is faced with the problem of landing difficulties caused by "NIMBY". In order to solve this social problem scientifically and quantitatively, this paper innovatively constructs a network case analysis method based on reputation and benefit space, and abstracts a clustering center with scientific management significance by case clustering method to evolve reputation and benefit space. Based on this, a decision-making aided method based on similarity calculation is constructed to provide support for the transformation of "NIMBY" crisis.
{"title":"Assistant Decision-making Method of \"NIMBY\" Crisis Conversion in Waste Incineration Based on \"Reputation and Benefit Space\"","authors":"Enyuan Liu, Minxuan Li, Shengya Liu","doi":"10.1145/3335656.3335686","DOIUrl":"https://doi.org/10.1145/3335656.3335686","url":null,"abstract":"Waste incineration power generation, as a waste disposal method of \"reduction, harmlessness and resource utilization\", is an important measure to improve national well-being index and guarantee the achievement of overall well-off struggle. However, in the process of project promotion, it is faced with the problem of landing difficulties caused by \"NIMBY\". In order to solve this social problem scientifically and quantitatively, this paper innovatively constructs a network case analysis method based on reputation and benefit space, and abstracts a clustering center with scientific management significance by case clustering method to evolve reputation and benefit space. Based on this, a decision-making aided method based on similarity calculation is constructed to provide support for the transformation of \"NIMBY\" crisis.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130895066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper studies the Online Judge System for assignments such as programming. Sometimes there are plagiarismsin codes submitted by students[1]. In addition to calculating the similarity degree between the codes, we also extract other features to determine whether there isplagiarismsuspicion of a submitted code or not. By using combination of Random Forest and Gradient Boosting Decision Tree, we also can getitssuspicion level. The model first calculates the similarity degree between the newly submitted code and all submitted codes, and determines plagiarism suspect. For some codes that are difficult to confirm whetherisplagiarismor not, we extract the programming style similarity degree, and the student's submission behavior pattern (such as similar target concentration degree) and other features, to create decision trees such as Random Forestand Gradient Boosting Decision Trees, which can help determine the level of plagiarism suspect. If the level is medium, the teacher will mark the code as plagiarized or not. Finally, the learning model is incrementally trained to improve the accuracy of the model and the classification results. Experiment results show that the accuracy rate can reach 95.9%. As a result, the model can prevent students from plagiarizing while minimizing the workload of the teacher.
{"title":"Research on Code Plagiarism Detection Model Based on Random Forest and Gradient Boosting Decision Tree","authors":"Huang Qiubo, Tang Jingdong, Fang Guo-zheng","doi":"10.1145/3335656.3335692","DOIUrl":"https://doi.org/10.1145/3335656.3335692","url":null,"abstract":"This paper studies the Online Judge System for assignments such as programming. Sometimes there are plagiarismsin codes submitted by students[1]. In addition to calculating the similarity degree between the codes, we also extract other features to determine whether there isplagiarismsuspicion of a submitted code or not. By using combination of Random Forest and Gradient Boosting Decision Tree, we also can getitssuspicion level. The model first calculates the similarity degree between the newly submitted code and all submitted codes, and determines plagiarism suspect. For some codes that are difficult to confirm whetherisplagiarismor not, we extract the programming style similarity degree, and the student's submission behavior pattern (such as similar target concentration degree) and other features, to create decision trees such as Random Forestand Gradient Boosting Decision Trees, which can help determine the level of plagiarism suspect. If the level is medium, the teacher will mark the code as plagiarized or not. Finally, the learning model is incrementally trained to improve the accuracy of the model and the classification results. Experiment results show that the accuracy rate can reach 95.9%. As a result, the model can prevent students from plagiarizing while minimizing the workload of the teacher.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114602273","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}
Qin Yu, Junliang Yu, Jie Hu, Kun Yang, Taijun Wang, Rongsheng Ding
With the rapid development of communication technology, the demand of rate of communication network is higher and higher, and the problem of energy consumption is becoming more and more serious. Data and Energy Integrated communication Networks (DEINs) can simultaneously transmit information and energy for the terminal, which greatly improves the convenience of the terminal and makes devices without batteries possible in future. This paper studies the joint design of transceivers in a full-duplex cloud access number-integrated network. The system model considers both upstream and downstream users. Considering the need for joint resource allocation for system uplink and downlink, full-duplex technology and self-interference caused by full-duplex technology are considered into the system. The optimization goal of this problem is to minimize the total power consumption under the uplink and downlink SINR and EH constraints. For this non-convex optimization problem, An algorithm combining ZF beamforming and MRT beamforming is proposed. In the hybrid beamforming algorithm, the zero-forcing (ZF) beamformer and MRT beamformer are linearly combined, which simplifies the optimization of the downlink beam vector to the optimization of the combination ratio. The proposed algorithm is simulated. Simulation results show that the power consumed in the half-duplex scenario is higher than that in the full duplex scenario. The time spent in the hybrid beamforming algorithm does not change with the increase in the number of RRH antennas.
{"title":"Joint Transceiver Design for Fully-Duplex Cloud-Access DEINs","authors":"Qin Yu, Junliang Yu, Jie Hu, Kun Yang, Taijun Wang, Rongsheng Ding","doi":"10.1145/3335656.3335691","DOIUrl":"https://doi.org/10.1145/3335656.3335691","url":null,"abstract":"With the rapid development of communication technology, the demand of rate of communication network is higher and higher, and the problem of energy consumption is becoming more and more serious. Data and Energy Integrated communication Networks (DEINs) can simultaneously transmit information and energy for the terminal, which greatly improves the convenience of the terminal and makes devices without batteries possible in future. This paper studies the joint design of transceivers in a full-duplex cloud access number-integrated network. The system model considers both upstream and downstream users. Considering the need for joint resource allocation for system uplink and downlink, full-duplex technology and self-interference caused by full-duplex technology are considered into the system. The optimization goal of this problem is to minimize the total power consumption under the uplink and downlink SINR and EH constraints. For this non-convex optimization problem, An algorithm combining ZF beamforming and MRT beamforming is proposed. In the hybrid beamforming algorithm, the zero-forcing (ZF) beamformer and MRT beamformer are linearly combined, which simplifies the optimization of the downlink beam vector to the optimization of the combination ratio. The proposed algorithm is simulated. Simulation results show that the power consumed in the half-duplex scenario is higher than that in the full duplex scenario. The time spent in the hybrid beamforming algorithm does not change with the increase in the number of RRH antennas.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128676020","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}
Fan Yan-ying, Zhang Zi-min, Chen Guan-ping, Zheng Shi-yong
We apply the rough set theory to the evaluation process of students. Firstly, we should create the information table of evaluation decision by using the discernibility matrix of rough set theory to do attribute reduction for the evaluation data and hence reduce unnecessary evaluation indicators. We will do value reduction and rule extraction algorithm based on this and then dig out the general rule of the evaluation for students from enormous evaluation data in order to provide decision basis for the work of students at school. This process of evaluation is totally about enabling the date talk and reduce the influence of human-dominated factors, as a result, the outcome of the evaluation will be more objective and fair.
{"title":"The extraction research on evaluation rules for students based on discernibility matrix","authors":"Fan Yan-ying, Zhang Zi-min, Chen Guan-ping, Zheng Shi-yong","doi":"10.1145/3335656.3335680","DOIUrl":"https://doi.org/10.1145/3335656.3335680","url":null,"abstract":"We apply the rough set theory to the evaluation process of students. Firstly, we should create the information table of evaluation decision by using the discernibility matrix of rough set theory to do attribute reduction for the evaluation data and hence reduce unnecessary evaluation indicators. We will do value reduction and rule extraction algorithm based on this and then dig out the general rule of the evaluation for students from enormous evaluation data in order to provide decision basis for the work of students at school. This process of evaluation is totally about enabling the date talk and reduce the influence of human-dominated factors, as a result, the outcome of the evaluation will be more objective and fair.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128934462","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 popularity of mobile internet accelerates the dissemination and communication of information and also changes the way tourists obtain information. Tourists no longer rely on the officially published travel brochures and TV programs to obtain tourism information. Through Twitter, Sina Weibo, Facebook and other We-Media channels, tourists can get first-hand information about the tourist destination. A large number of GPS trajectory data, such as taxi trajectory data and mobile signaling data, are generated through the widely existing GPS sensors and have been widely used in traffic and resident travel research. Since tourists are not familiar with the road distribution and traffic rules of the destination city, taxi car is an important travel method for non-local tourists to choose, and its OD(origin-destination) points reflect the travel needs and travel characteristics of tourists. Therefore, this paper applies the taxi data to the tourism research. In our study, CFSDPF clustering algorithm is adopted to cluster Sina Weibo data to form tourism ROI (region of interest), and the tourism ROI is used to cluster taxi OD data. The travel characteristics of tourists can be fully and accurately reflected through multi-source data. From two different scales of citywide and central city, we can comprehensively analyze the relationship between the travel characteristics of tourists in chengdu and the tourism ROI.
{"title":"Spatio-temporal Changes of Tourists Based on Multi-source data in Chengdu","authors":"R. Yuan","doi":"10.1145/3335656.3335696","DOIUrl":"https://doi.org/10.1145/3335656.3335696","url":null,"abstract":"The popularity of mobile internet accelerates the dissemination and communication of information and also changes the way tourists obtain information. Tourists no longer rely on the officially published travel brochures and TV programs to obtain tourism information. Through Twitter, Sina Weibo, Facebook and other We-Media channels, tourists can get first-hand information about the tourist destination. A large number of GPS trajectory data, such as taxi trajectory data and mobile signaling data, are generated through the widely existing GPS sensors and have been widely used in traffic and resident travel research. Since tourists are not familiar with the road distribution and traffic rules of the destination city, taxi car is an important travel method for non-local tourists to choose, and its OD(origin-destination) points reflect the travel needs and travel characteristics of tourists. Therefore, this paper applies the taxi data to the tourism research. In our study, CFSDPF clustering algorithm is adopted to cluster Sina Weibo data to form tourism ROI (region of interest), and the tourism ROI is used to cluster taxi OD data. The travel characteristics of tourists can be fully and accurately reflected through multi-source data. From two different scales of citywide and central city, we can comprehensively analyze the relationship between the travel characteristics of tourists in chengdu and the tourism ROI.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"14 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130410592","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}
Crowdfunding has become an important channel for the transformation of innovation achievements. Exploring the healthy and rapid development of crowdfunding is a hot of academic research. This paper simulates the agglomeration effect in the development of crowdfunding mode through multi-agent system. And this paper findsthat properly supporting superior enterprises or high-quality projects and concentrating resources to stimulate innovation and transformation, are beneficial to improve the whole development level of the crowdfunding system without reducing the stability of the system operation.
{"title":"Simulation for Agglomeration Effect of Internet Crowdfunding Model","authors":"Yunjie Ji, YanXia Zhu","doi":"10.1145/3335656.3335682","DOIUrl":"https://doi.org/10.1145/3335656.3335682","url":null,"abstract":"Crowdfunding has become an important channel for the transformation of innovation achievements. Exploring the healthy and rapid development of crowdfunding is a hot of academic research. This paper simulates the agglomeration effect in the development of crowdfunding mode through multi-agent system. And this paper findsthat properly supporting superior enterprises or high-quality projects and concentrating resources to stimulate innovation and transformation, are beneficial to improve the whole development level of the crowdfunding system without reducing the stability of the system operation.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116532347","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 development of the Internet, the amount of daily output data is constantly increasing, and the value contained in the data is increasing as well; Meanwhile, the difficulty of data mining and the complexity of data analysis increases sharply. Developing a new data processing system is in urgent need especially in the macroeconomic field. Word cloud is a trendy way to visualize hot spot. At first, the design of a distributed batch-based website word cloud rendering platform will be explained, combining the processing mode of big data and the traditional web crawler design method to collect all the information of a website and present the data using word cloud. Then, this platform will be used for practice and applied to the measurement of systemic financial risks.
{"title":"The Design of Word Cloud Rendering Platform and Its Application on Measuring Systematic Financial Risks","authors":"Shifen Wang, Yining Sun","doi":"10.1145/3335656.3335698","DOIUrl":"https://doi.org/10.1145/3335656.3335698","url":null,"abstract":"With the development of the Internet, the amount of daily output data is constantly increasing, and the value contained in the data is increasing as well; Meanwhile, the difficulty of data mining and the complexity of data analysis increases sharply. Developing a new data processing system is in urgent need especially in the macroeconomic field. Word cloud is a trendy way to visualize hot spot. At first, the design of a distributed batch-based website word cloud rendering platform will be explained, combining the processing mode of big data and the traditional web crawler design method to collect all the information of a website and present the data using word cloud. Then, this platform will be used for practice and applied to the measurement of systemic financial risks.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125073815","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 growing maturity of web crawler technology and the advent of the era of big data, when you want to study some problems, you can directly get all the data related to them through web crawlers and other means, but it is more important to mining and filter the data to get valuable data for the research content. This study which based on the word list of keywords uses CRN network to construct semantic distance table and TOPSIS evaluation system to sort data to make sure researchers can obtain quantitative screening data with research value and to provide researchers with scientific screening methods.
{"title":"Innovation of Data Mining & Screening System under Big Data: Take a case as NIMBY","authors":"Minxuan Li","doi":"10.1145/3335656.3335688","DOIUrl":"https://doi.org/10.1145/3335656.3335688","url":null,"abstract":"With the growing maturity of web crawler technology and the advent of the era of big data, when you want to study some problems, you can directly get all the data related to them through web crawlers and other means, but it is more important to mining and filter the data to get valuable data for the research content. This study which based on the word list of keywords uses CRN network to construct semantic distance table and TOPSIS evaluation system to sort data to make sure researchers can obtain quantitative screening data with research value and to provide researchers with scientific screening methods.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, we aim to reveal the relationship between differentially expressed mRNAs and genders in low grade glioma (LGG) patients. Based on the downloaded RNA-seq files of LGG patients from The Cancer Genome Atlas database (TCGA), 89 differentially expressed mRNAs between male and female were screened out by clustering analysis. The differentially expressed mRNAs were analyzed by DAVID and KOBAS online tools. The differentially expressed mRNAs were enriched in 67 gene ontology terms, including cellular components, biological processes and molecular functions group and 7 signaling pathways. Then, the differentially expressed mRNAs were divided into two parts according to the expression level. The high-expressed mRNAs and low-expressed mRNAs were all analyzed with the clinical survival data by Kaplan-meier method and kmplot survival curves. In comparison with the LGG female patients, male patients with a differential expression mRNAs were closely related to the higher risk of LGG.
在这项研究中，我们旨在揭示低级别胶质瘤(LGG)患者差异表达mrna与性别之间的关系。基于从the Cancer Genome Atlas database (TCGA)中下载的LGG患者RNA-seq文件，通过聚类分析筛选出89个男女差异表达mrna。通过DAVID和KOBAS在线工具分析差异表达mrna。差异表达mrna富集于67个基因本体术语，包括细胞组分、生物过程和分子功能群以及7个信号通路。然后，根据表达水平将差异mrna分成两部分。采用Kaplan-meier法和kmplot生存曲线分析高表达mrna和低表达mrna的临床生存数据。与LGG女性患者相比，mrna表达差异的男性患者与LGG的高风险密切相关。
{"title":"Gene clustering, enrichment and survival analysis of differentially expressed genes in Low Grade Glioma between different genders by big data analysis","authors":"Jianzhi Deng, Xiaohui Cheng, Yuehan Zhou","doi":"10.1145/3335656.3335699","DOIUrl":"https://doi.org/10.1145/3335656.3335699","url":null,"abstract":"In this study, we aim to reveal the relationship between differentially expressed mRNAs and genders in low grade glioma (LGG) patients. Based on the downloaded RNA-seq files of LGG patients from The Cancer Genome Atlas database (TCGA), 89 differentially expressed mRNAs between male and female were screened out by clustering analysis. The differentially expressed mRNAs were analyzed by DAVID and KOBAS online tools. The differentially expressed mRNAs were enriched in 67 gene ontology terms, including cellular components, biological processes and molecular functions group and 7 signaling pathways. Then, the differentially expressed mRNAs were divided into two parts according to the expression level. The high-expressed mRNAs and low-expressed mRNAs were all analyzed with the clinical survival data by Kaplan-meier method and kmplot survival curves. In comparison with the LGG female patients, male patients with a differential expression mRNAs were closely related to the higher risk of LGG.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121108905","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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