Pub Date : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101971
J. Harischandra, Sunesh Hettiarachchi
The objective of this study is to identify the critical factors affecting the software quality at the engineering division of a selected software development organization in Sri Lanka. The purpose of the study is to identify the critical organizational factors that affect the software quality in the selected organization, determine the relationship and impact of those factors to software quality and provide recommendations and strategies to improve software quality. Having conducted a critical literature review, four independent variables have been identified which are staff training & development, coworker relationships, diversity of the team and knowledge sharing. A quantitative survey was carried out with a population of 110 and sample size of 86 senior engineers. The data analysis has been conducted using SPSS 19.0 tool and hypothesis validation was carried out using Pearson correlation, regression and significance values. The research findings showcase that, knowledge sharing has the strongest relationship towards software quality. Staff training and development and co-worker relationships also hold a relationship on software quality whereas diversity of the team does not claim a relationship on software quality. This research would help the software organizations to uplift the software quality by various strategies such as improving existing knowledge management systems with new features, introducing certification process for staff trainings and team building activities. This research could be further enhanced with a larger sample size with the use of other qualitative survey techniques.
{"title":"Organizational Factors that Affect the Software Quality A Case Study at the Engineering Division of a Selected Software Development Organization in Sri Lanka","authors":"J. Harischandra, Sunesh Hettiarachchi","doi":"10.1109/ICIEA49774.2020.9101971","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101971","url":null,"abstract":"The objective of this study is to identify the critical factors affecting the software quality at the engineering division of a selected software development organization in Sri Lanka. The purpose of the study is to identify the critical organizational factors that affect the software quality in the selected organization, determine the relationship and impact of those factors to software quality and provide recommendations and strategies to improve software quality. Having conducted a critical literature review, four independent variables have been identified which are staff training & development, coworker relationships, diversity of the team and knowledge sharing. A quantitative survey was carried out with a population of 110 and sample size of 86 senior engineers. The data analysis has been conducted using SPSS 19.0 tool and hypothesis validation was carried out using Pearson correlation, regression and significance values. The research findings showcase that, knowledge sharing has the strongest relationship towards software quality. Staff training and development and co-worker relationships also hold a relationship on software quality whereas diversity of the team does not claim a relationship on software quality. This research would help the software organizations to uplift the software quality by various strategies such as improving existing knowledge management systems with new features, introducing certification process for staff trainings and team building activities. This research could be further enhanced with a larger sample size with the use of other qualitative survey techniques.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"40 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":"114057344","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/ICIEA49774.2020.9101952
Mohamed Mostafa, S. A. Fahmy
Maintenance strategy selection (MSS) usually has multiple, contradicting objectives. These include reducing cost, increasing availability, reducing unplanned downtime and meeting both safety and environmental requirements. This paper presents the use of analytic hierarchy process (AHP) in solving a MSS problem for a natural gas processing plant. The plant is currently adopting timely based preventive maintenance strategy for all equipment. Six different pieces of equipment were studied to evaluate five different maintenance strategies against multiple criteria such as cost, damage and applicability. Results showed that significant changes should be made to the current maintenance strategy, which would better utilize the resources of the plant, reduce the total maintenance cost, and increase the equipment availability.
{"title":"Maintenance Strategy Selection Using AHP: A Case Study in the Oil and Gas Industry","authors":"Mohamed Mostafa, S. A. Fahmy","doi":"10.1109/ICIEA49774.2020.9101952","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101952","url":null,"abstract":"Maintenance strategy selection (MSS) usually has multiple, contradicting objectives. These include reducing cost, increasing availability, reducing unplanned downtime and meeting both safety and environmental requirements. This paper presents the use of analytic hierarchy process (AHP) in solving a MSS problem for a natural gas processing plant. The plant is currently adopting timely based preventive maintenance strategy for all equipment. Six different pieces of equipment were studied to evaluate five different maintenance strategies against multiple criteria such as cost, damage and applicability. Results showed that significant changes should be made to the current maintenance strategy, which would better utilize the resources of the plant, reduce the total maintenance cost, and increase the equipment availability.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","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":"127766998","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/ICIEA49774.2020.9102058
Makbul Hajad, V. Tangwarodomnukun, C. Dumkum, Chorkaew Jaturanonda, K. H. Widodo, L. Sutiarso
An approach for minimizing both truck routing distance and perishable product defect is presented in this paper. The proposed algorithm was constructed based on a memetic algorithm associated with a simple genetic algorithm and a powerful local search. The routing problem was modeled as a capacitated vehicle routing problem under a quality constraint for delivering perishable product. The quality degradation function was incorporated into the problem by assigning a critical routing time as a constraint. A penalty was given to the vehicle route overlapping the critical time in order to minimize the product defect due to quality degradation during the delivery process. The simulation revealed that the proposed approach was capable of solving the capacitated vehicle routing problem with minimum travel distance and product defect. The presented method could further be applied for optimizing the delivery of products whose quality degradation is an important factor to be accounted in the route planning.
{"title":"Capacitated Vehicle Routing Problem under Quality Constraint for Perishable Product","authors":"Makbul Hajad, V. Tangwarodomnukun, C. Dumkum, Chorkaew Jaturanonda, K. H. Widodo, L. Sutiarso","doi":"10.1109/ICIEA49774.2020.9102058","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102058","url":null,"abstract":"An approach for minimizing both truck routing distance and perishable product defect is presented in this paper. The proposed algorithm was constructed based on a memetic algorithm associated with a simple genetic algorithm and a powerful local search. The routing problem was modeled as a capacitated vehicle routing problem under a quality constraint for delivering perishable product. The quality degradation function was incorporated into the problem by assigning a critical routing time as a constraint. A penalty was given to the vehicle route overlapping the critical time in order to minimize the product defect due to quality degradation during the delivery process. The simulation revealed that the proposed approach was capable of solving the capacitated vehicle routing problem with minimum travel distance and product defect. The presented method could further be applied for optimizing the delivery of products whose quality degradation is an important factor to be accounted in the route planning.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"11 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":"127777610","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}
Digital technologies bring about massive change in society and consequently presents emerging patterns of activities in both government and private sectors. The digital transformation is having a huge impact on the role and responsibilities of IT leadership, especially for Chief Information Officer (CIO). CIO is an important role that is in charge of digital technology to support the organization's goals. This research aims to study the competencies and risks of competency shortage of CIO, comparing government organizations to private enterprises in Thailand. The findings found that CIO competency consists of four main groups which are business, digital technology, leadership, and process and change. Sub-competencies of government organizations which have high risk level (high impact and high probability of shortages) are Enterprise Architecture, Process and Change Management, and Cybersecurity / Information Assurance. For private enterprises, sub-competencies which have high risk level are Communication Skills, Agent of change, Cybersecurity/ Information Assurance, and Cross-dimensional vision.
{"title":"CIO Competency in Digital Era: A Comparative Study between Government Organizations and Private Enterprises","authors":"Wasinee Noonpakdee, Acharaphun Phothichai, Thitiporn Khunkornsiri, Arpawadee Nuntree","doi":"10.1109/ICIEA49774.2020.9101988","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101988","url":null,"abstract":"Digital technologies bring about massive change in society and consequently presents emerging patterns of activities in both government and private sectors. The digital transformation is having a huge impact on the role and responsibilities of IT leadership, especially for Chief Information Officer (CIO). CIO is an important role that is in charge of digital technology to support the organization's goals. This research aims to study the competencies and risks of competency shortage of CIO, comparing government organizations to private enterprises in Thailand. The findings found that CIO competency consists of four main groups which are business, digital technology, leadership, and process and change. Sub-competencies of government organizations which have high risk level (high impact and high probability of shortages) are Enterprise Architecture, Process and Change Management, and Cybersecurity / Information Assurance. For private enterprises, sub-competencies which have high risk level are Communication Skills, Agent of change, Cybersecurity/ Information Assurance, and Cross-dimensional vision.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"41 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132914599","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/iciea49774.2020.9101978
Jiaqian Ren, Jiye Huang
{"title":"Notice of Removal: A Laser Sensor-Based 3-Dimensional Displacement Measuring System for Railway Track","authors":"Jiaqian Ren, Jiye Huang","doi":"10.1109/iciea49774.2020.9101978","DOIUrl":"https://doi.org/10.1109/iciea49774.2020.9101978","url":null,"abstract":"","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"103 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141217320","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/ICIEA49774.2020.9101975
Thorbjørn M. Illemann, A. Karam, K. H. Reinau
Private freight companies collect a significant amount of data by utilizing advanced information and communication tools. Sharing the freight data of these companies with public policy makers, would significantly improve transportation planning decisions in the public sector. Existing literature has shown various ways of how public sectors can use this private freight data in transportation planning. However, current literature lacks a framework that can be used to guide the public policy makers to identify the most suitable uses of the shared freight data that satisfy their planning needs. This paper addresses this research gap and presents a framework for identifying how the shared freight data can be used to satisfy the planning needs of different freight stakeholders. First, relevant studies are reviewed, including a detailed illustration of the different uses of the freight data. Based on the review results, different uses of freight data are identified and categorized into six categories: Potentials of freight data in research, patterns of freight movements, estimating Green House Gas (GHG) emissions from transportation activities, analyses of parking patterns, traffic safety analyses, and traffic planning. Second, a framework is suggested to help public policy makers in identifying the most suitable groups that satisfy their transportation planning needs.
{"title":"Towards Sharing Data of Private Freight Companies with Public Policy Makers: A Proposed Framework for Identifying Uses of the Shared Data","authors":"Thorbjørn M. Illemann, A. Karam, K. H. Reinau","doi":"10.1109/ICIEA49774.2020.9101975","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101975","url":null,"abstract":"Private freight companies collect a significant amount of data by utilizing advanced information and communication tools. Sharing the freight data of these companies with public policy makers, would significantly improve transportation planning decisions in the public sector. Existing literature has shown various ways of how public sectors can use this private freight data in transportation planning. However, current literature lacks a framework that can be used to guide the public policy makers to identify the most suitable uses of the shared freight data that satisfy their planning needs. This paper addresses this research gap and presents a framework for identifying how the shared freight data can be used to satisfy the planning needs of different freight stakeholders. First, relevant studies are reviewed, including a detailed illustration of the different uses of the freight data. Based on the review results, different uses of freight data are identified and categorized into six categories: Potentials of freight data in research, patterns of freight movements, estimating Green House Gas (GHG) emissions from transportation activities, analyses of parking patterns, traffic safety analyses, and traffic planning. Second, a framework is suggested to help public policy makers in identifying the most suitable groups that satisfy their transportation planning needs.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"509 42","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113994357","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/ICIEA49774.2020.9101957
Andrei O. J. Kwok, Sharon G. M. Koh
In recent years, blockchain technology has garnered phenomenal interest across various industries due to its disruptive potential on business improvement. The capability of blockchain technology in enhancing efficient data management and providing traceability offers significant value to manufacturing. Given the increasing traction of blockchain application, the confluence of blockchain technology with other emergent technologies is poised to transform the manufacturing industry. This study addresses the paucity of scholarly research by deciphering how blockchain technology can contribute to manufacturing improvement. Based on neural network analysis, this study maps the future pathways in blockchain technology research in manufacturing improvement by revealing the emerging themes, offer recommendations, and raise the call for more studies.
{"title":"Neural Network Insights of Blockchain Technology in Manufacturing Improvement","authors":"Andrei O. J. Kwok, Sharon G. M. Koh","doi":"10.1109/ICIEA49774.2020.9101957","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101957","url":null,"abstract":"In recent years, blockchain technology has garnered phenomenal interest across various industries due to its disruptive potential on business improvement. The capability of blockchain technology in enhancing efficient data management and providing traceability offers significant value to manufacturing. Given the increasing traction of blockchain application, the confluence of blockchain technology with other emergent technologies is poised to transform the manufacturing industry. This study addresses the paucity of scholarly research by deciphering how blockchain technology can contribute to manufacturing improvement. Based on neural network analysis, this study maps the future pathways in blockchain technology research in manufacturing improvement by revealing the emerging themes, offer recommendations, and raise the call for more studies.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"35 13-14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114047507","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/ICIEA49774.2020.9101930
Sirang Klankamsorn
The objective of this research is to determine the number of kanban in the pull system for automotive axle mixed-model production line. The number of Kanban composes of the cycle stock kanban, buffer stock kanban, and safety stock kanban. The results show that the parameters affecting the number of kanban must have to be controlled to meet customer demand. The parameters involving the kanban number are the cycle time, Overall Equipment Effectiveness, safety stock factor, changeover time and Every Part Every Interval.
{"title":"Determination of the Number of Kanban for Automotive Axle Production","authors":"Sirang Klankamsorn","doi":"10.1109/ICIEA49774.2020.9101930","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101930","url":null,"abstract":"The objective of this research is to determine the number of kanban in the pull system for automotive axle mixed-model production line. The number of Kanban composes of the cycle stock kanban, buffer stock kanban, and safety stock kanban. The results show that the parameters affecting the number of kanban must have to be controlled to meet customer demand. The parameters involving the kanban number are the cycle time, Overall Equipment Effectiveness, safety stock factor, changeover time and Every Part Every Interval.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"18 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":"115085177","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/ICIEA49774.2020.9101944
Xue Lin, Zhisheng Zhang
Recent years, with the development of medical conditions, adopting the principles from human factors engineering has become a new requirement in medical field. It can improve human performance with medical devices, reduce the potential for error and consequently improve patient safety. Furthermore, the importance of human-machine operation becomes increasingly visible in a clinical environment. As a typical representative of controller, the remote control of operating bed is widely applied to the medical operation. Therefore, the remote control similarly puts more and more emphasis on the user experience and humanized design. This is conducive not only to adjusting the patient's positioning for a surgical procedure efficiently, but also to reducing operating difficulties and raising user's satisfaction. This article takes an in depth look at the application characteristics of remote control and analyses the key pain points in medical operation combined human-machine engineering methods. Ultimately, the paper provides a well-defined framework of guidelines and principles for designing remote control of medical bed.
{"title":"Designing Remote Control of Medical Bed Based on Human Factors","authors":"Xue Lin, Zhisheng Zhang","doi":"10.1109/ICIEA49774.2020.9101944","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101944","url":null,"abstract":"Recent years, with the development of medical conditions, adopting the principles from human factors engineering has become a new requirement in medical field. It can improve human performance with medical devices, reduce the potential for error and consequently improve patient safety. Furthermore, the importance of human-machine operation becomes increasingly visible in a clinical environment. As a typical representative of controller, the remote control of operating bed is widely applied to the medical operation. Therefore, the remote control similarly puts more and more emphasis on the user experience and humanized design. This is conducive not only to adjusting the patient's positioning for a surgical procedure efficiently, but also to reducing operating difficulties and raising user's satisfaction. This article takes an in depth look at the application characteristics of remote control and analyses the key pain points in medical operation combined human-machine engineering methods. Ultimately, the paper provides a well-defined framework of guidelines and principles for designing remote control of medical bed.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"8 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":"114157888","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/ICIEA49774.2020.9101929
Dasilva Dindana, Fadel Muhammad, A. Kurniawati, M. T. Kurniawan
Massive development of information technology and internet access have driven major changes in people's behavior in certain activities. In the education sector, e-learning becomes a new trend in educational technology. A company of aerospace tried to implement e-learning as a breakthrough project to boost knowledge sharing among its employees. The purpose of this study is to design e-learning for boring process activity. The result of this study is expected to help the company to develop employees' production expertise and reduce production defect rate. The e-learning development was divided into two parts. The first part is the knowledge conversion process based on the SECI model. The second part is the e-learning development process based on the waterfall method and the KM Cycle framework. The three e-learning main structures developed are the online course, the articles that contain best practice and lesson-learned, and the community of practice.
{"title":"E-learning for a Boring Process at an Aerospace Industry Company","authors":"Dasilva Dindana, Fadel Muhammad, A. Kurniawati, M. T. Kurniawan","doi":"10.1109/ICIEA49774.2020.9101929","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101929","url":null,"abstract":"Massive development of information technology and internet access have driven major changes in people's behavior in certain activities. In the education sector, e-learning becomes a new trend in educational technology. A company of aerospace tried to implement e-learning as a breakthrough project to boost knowledge sharing among its employees. The purpose of this study is to design e-learning for boring process activity. The result of this study is expected to help the company to develop employees' production expertise and reduce production defect rate. The e-learning development was divided into two parts. The first part is the knowledge conversion process based on the SECI model. The second part is the e-learning development process based on the waterfall method and the KM Cycle framework. The three e-learning main structures developed are the online course, the articles that contain best practice and lesson-learned, and the community of practice.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"112 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":"114824659","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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