Pub Date : 2008-06-28DOI: 10.1109/IEMCE.2008.4617962
T. Sueyoshi, G. R. Tadiparthi, M. Goto
During the summer (2000), wholesale electricity prices in California were approximately 500% higher than those during the same months in 1998-1999. This study proposes a use of a multi-agent intelligent simulator (MAIS) to numerically examine several reasons regarding why the crisis has occurred during May 2000-Janurary 2001. The MAIS explains the price fluctuation of wholesale electricity during the crisis with estimation accuracy (91.15%). We also find that 40.46% of the price increase was due to an increase in marginal production cost, 17.85% to traderspsila greediness, 5.27% to a real demand change and 3.56% to market power. The remaining 32.86% came from the other unknown components. This result indicates that the price hike has occurred due to an increase in fuel prices and real demand. The two market fundamentals explained 45.73% (= 40.46% + 5.27%) of the price increase. The responsibility of energy firms was 21.41% (= 17.85% + 3.56%). The numerical evidences are different from the very well-known research of Joskow and Kahn (2002), which has attributed the exercise of market power by large energy firms.
{"title":"A use of multi-agent intelligent simulator to examine California electricity crisis","authors":"T. Sueyoshi, G. R. Tadiparthi, M. Goto","doi":"10.1109/IEMCE.2008.4617962","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4617962","url":null,"abstract":"During the summer (2000), wholesale electricity prices in California were approximately 500% higher than those during the same months in 1998-1999. This study proposes a use of a multi-agent intelligent simulator (MAIS) to numerically examine several reasons regarding why the crisis has occurred during May 2000-Janurary 2001. The MAIS explains the price fluctuation of wholesale electricity during the crisis with estimation accuracy (91.15%). We also find that 40.46% of the price increase was due to an increase in marginal production cost, 17.85% to traderspsila greediness, 5.27% to a real demand change and 3.56% to market power. The remaining 32.86% came from the other unknown components. This result indicates that the price hike has occurred due to an increase in fuel prices and real demand. The two market fundamentals explained 45.73% (= 40.46% + 5.27%) of the price increase. The responsibility of energy firms was 21.41% (= 17.85% + 3.56%). The numerical evidences are different from the very well-known research of Joskow and Kahn (2002), which has attributed the exercise of market power by large energy firms.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127199785","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4617965
R. Baptista
The creation of new knowledge gives rise to opportunities to convert inventions into innovations. Technology based entrepreneurship is concerned with the recognition, evaluation and exploitation of technological opportunities available in the knowledge base. In that sense, technology based entrepreneurship may be seen as a dasiaconduitpsila for knowledge spillovers occurring through the successful commercialization of new technology based products and services.
{"title":"Introduction to topic 2","authors":"R. Baptista","doi":"10.1109/IEMCE.2008.4617965","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4617965","url":null,"abstract":"The creation of new knowledge gives rise to opportunities to convert inventions into innovations. Technology based entrepreneurship is concerned with the recognition, evaluation and exploitation of technological opportunities available in the knowledge base. In that sense, technology based entrepreneurship may be seen as a dasiaconduitpsila for knowledge spillovers occurring through the successful commercialization of new technology based products and services.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124921519","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4618031
B. Kopacek, P. Kopacek, M. Ceccarelli, E. Hajrizi, L. Stapleton
Emerging economies in the midst of fundamental restructuring of higher education can benefit from radical approaches to engineering education programme design. The authors present the case of the development of a BSc curriculum in Mechatronics Management for one of the new international universities in Kosovo in order to demonstrate that it is possible to develop higher-education programmes in advanced engineering, which have local economic context in an emerging economy. The authors illustrate how it is possible to use theories of engineering and technology professional competence to develop a coherent higher education programme which has the potential to deliver on aggressive economic and educational objectives.
{"title":"Mechatronics management a BSC program","authors":"B. Kopacek, P. Kopacek, M. Ceccarelli, E. Hajrizi, L. Stapleton","doi":"10.1109/IEMCE.2008.4618031","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4618031","url":null,"abstract":"Emerging economies in the midst of fundamental restructuring of higher education can benefit from radical approaches to engineering education programme design. The authors present the case of the development of a BSc curriculum in Mechatronics Management for one of the new international universities in Kosovo in order to demonstrate that it is possible to develop higher-education programmes in advanced engineering, which have local economic context in an emerging economy. The authors illustrate how it is possible to use theories of engineering and technology professional competence to develop a coherent higher education programme which has the potential to deliver on aggressive economic and educational objectives.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125046490","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4617998
É. Chappin, G. Dijkema
The primary objective of Transition Management appears to be dasiato manage transitions towards sustainability.psila The emerging body-of-knowledge on system transitions to date remains largely descriptive, however. We propose a research agenda to develop a prescriptive system transition body-of-knowledge, which eventually will provide handles for policy makers to push and pull transitions. This agenda is developed by focusing on energy systems. We conjecture it is always socio-technical systems that are the subject of transition. We define a system transition as a structural change in both technical and social subsystems. We conclude that shared definitions must be developed of indicators of sustainability performance of systems in transition. Secondly, an understanding and recognition of the socio-technical design space is required. The design space for energy systems includes technological structure and content, policy, regulation and market design and social innovation. The combination and interrelation of these must be recognized and its use suitably underpinned, for example by exploratory simulation models and games that would allow ex-ante testing of transition policies and management.
{"title":"On the design of system transitions Is Transition Management in the energy domain feasible?","authors":"É. Chappin, G. Dijkema","doi":"10.1109/IEMCE.2008.4617998","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4617998","url":null,"abstract":"The primary objective of Transition Management appears to be dasiato manage transitions towards sustainability.psila The emerging body-of-knowledge on system transitions to date remains largely descriptive, however. We propose a research agenda to develop a prescriptive system transition body-of-knowledge, which eventually will provide handles for policy makers to push and pull transitions. This agenda is developed by focusing on energy systems. We conjecture it is always socio-technical systems that are the subject of transition. We define a system transition as a structural change in both technical and social subsystems. We conclude that shared definitions must be developed of indicators of sustainability performance of systems in transition. Secondly, an understanding and recognition of the socio-technical design space is required. The design space for energy systems includes technological structure and content, policy, regulation and market design and social innovation. The combination and interrelation of these must be recognized and its use suitably underpinned, for example by exploratory simulation models and games that would allow ex-ante testing of transition policies and management.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257095","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4618034
M. Frank
A teaching strategy that integrates the project-based learning and the systems approaches is applied to a technology management final project course. In this course, teams of senior students carry out mini-projects that require either the design of products, systems or services or finding a solution to a practical problem in industry. The main aim of the qualitative study presented here was to examine the studentspsila emotions, thoughts, behavior, and difficulties during and at the end of the project. The main benefits and challenges of the project-based learning approach are discussed and then the methodology of the study and the main findings are presented.
{"title":"Teaching technology management in a project-based learning environment","authors":"M. Frank","doi":"10.1109/IEMCE.2008.4618034","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4618034","url":null,"abstract":"A teaching strategy that integrates the project-based learning and the systems approaches is applied to a technology management final project course. In this course, teams of senior students carry out mini-projects that require either the design of products, systems or services or finding a solution to a practical problem in industry. The main aim of the qualitative study presented here was to examine the studentspsila emotions, thoughts, behavior, and difficulties during and at the end of the project. The main benefits and challenges of the project-based learning approach are discussed and then the methodology of the study and the main findings are presented.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126947792","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4617952
B. Felix, C. Weber
In this paper two approaches for natural gas storage valuation are compared. Whereas the first approach uses recombining trees and the dynamic programming principle the second one uses Least Squares Monte Carlo simulation to compute the optimal storage value and strategy. Both methodologies rely on simulated spot prices. In a first step, therefore the deterministic impacts on the historic natural gas price are determined. The results are then used to simulate appropriate natural gas prices. Whereas the results of these simulation runs are clustered to be applied by the recombining tree valuation, the unclustered simulation results are used to calculate the optimal storage schedule and value via Least Squares Monte Carlo simulation. Applying both approaches on a German case study, the methodologies are compared concerning valuation results, valuation speed and discretization sensitivity.
{"title":"Gas storage valuation: Comparison of recombining trees and Least Squares Monte-Carlo simulation","authors":"B. Felix, C. Weber","doi":"10.1109/IEMCE.2008.4617952","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4617952","url":null,"abstract":"In this paper two approaches for natural gas storage valuation are compared. Whereas the first approach uses recombining trees and the dynamic programming principle the second one uses Least Squares Monte Carlo simulation to compute the optimal storage value and strategy. Both methodologies rely on simulated spot prices. In a first step, therefore the deterministic impacts on the historic natural gas price are determined. The results are then used to simulate appropriate natural gas prices. Whereas the results of these simulation runs are clustered to be applied by the recombining tree valuation, the unclustered simulation results are used to calculate the optimal storage schedule and value via Least Squares Monte Carlo simulation. Applying both approaches on a German case study, the methodologies are compared concerning valuation results, valuation speed and discretization sensitivity.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116409812","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4618027
R. Sinthavalai
Knowledge management (KM) has increased the importance to be an issue of interests to management of the organization. In Thailand, the rapid grow of KM application results in widely practice of KM in all sizes and types of organizations. However, some of them perceive KM as fad or fashion of management; some only adopt the application and give the label for KM without the understanding of its concept. In contrast, some organizations practice KM tools and those work well even without the KM label. The objectives of this paper could be classified as three issues. The first objective was to critically review the KM basis. The second objective was to discuss the opportunities to apply KM in Thai organization. The culture analysis was an attempt to determine Thai culture whether to support KM practice. This part also discussed the current KM application in Thai organizations. Thirdly, it was to highlight the importance of considering the KM objectives of each organizations, culture and people behavior. There is no complete package of KM that can suit for all type and size of organizations and technology is not the absolute solution for KM. The attempt of this paper was to enable the organization selecting the appropriate approaches for KM. In other words, KM needs to be customized to suit each organizational context. The paper proposed the application of house of quality (HoQ) as the support tool to design KM approaches.
知识管理(KM)已日益成为组织管理层关心的问题。在泰国，知识管理应用的快速增长导致了知识管理在各种规模和类型的组织中的广泛实践。然而，他们中的一些人认为知识管理是一种时尚或管理时尚;有的企业在不了解知识管理概念的情况下，只采用应用程序，给知识管理贴上标签。相比之下，一些组织实践了知识管理工具，即使没有知识管理的标签，这些工具也能很好地工作。本文的目标可分为三个问题。第一个目标是严格审查知识管理的基础。第二个目标是讨论在泰国组织中应用知识管理的机会。文化分析是试图确定泰国文化是否支持KM实践。这一部分还讨论了当前泰国组织中知识管理的应用。第三，它是为了强调考虑每个组织、文化和人员行为的知识管理目标的重要性。没有一个完整的知识管理包可以适合所有类型和规模的组织，技术也不是知识管理的绝对解决方案。本文的尝试是使组织能够选择合适的知识管理方法。换句话说，需要定制KM以适应每个组织环境。本文提出将质量屋(house of quality, HoQ)作为知识管理方法设计的辅助工具。
{"title":"Knowledge management practice and the selection of approaches: A Thailand study","authors":"R. Sinthavalai","doi":"10.1109/IEMCE.2008.4618027","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4618027","url":null,"abstract":"Knowledge management (KM) has increased the importance to be an issue of interests to management of the organization. In Thailand, the rapid grow of KM application results in widely practice of KM in all sizes and types of organizations. However, some of them perceive KM as fad or fashion of management; some only adopt the application and give the label for KM without the understanding of its concept. In contrast, some organizations practice KM tools and those work well even without the KM label. The objectives of this paper could be classified as three issues. The first objective was to critically review the KM basis. The second objective was to discuss the opportunities to apply KM in Thai organization. The culture analysis was an attempt to determine Thai culture whether to support KM practice. This part also discussed the current KM application in Thai organizations. Thirdly, it was to highlight the importance of considering the KM objectives of each organizations, culture and people behavior. There is no complete package of KM that can suit for all type and size of organizations and technology is not the absolute solution for KM. The attempt of this paper was to enable the organization selecting the appropriate approaches for KM. In other words, KM needs to be customized to suit each organizational context. The paper proposed the application of house of quality (HoQ) as the support tool to design KM approaches.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130322491","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4617949
Karen T. Lum, Daniel R. Baker, J. Hihn
Current research at JPL incorporates data mining and machine learning techniques to see whether a better software cost model can be developed. 2CEE is a tool developed for developing new software cost estimation models using data mining techniques. The accuracy of these models has been validated internally through leave-one out cross validation. However, the newly generated models have not been validated to see how well they predict in the real world. Our study seeks to find out how well these machine learning based models perform against standard models for eighteen new flight and ground software projects. The accurate performance of the models against current real world projects is extremely important for practitioners to adapt new techniques.
{"title":"The effects of data mining techniques on software cost estimation","authors":"Karen T. Lum, Daniel R. Baker, J. Hihn","doi":"10.1109/IEMCE.2008.4617949","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4617949","url":null,"abstract":"Current research at JPL incorporates data mining and machine learning techniques to see whether a better software cost model can be developed. 2CEE is a tool developed for developing new software cost estimation models using data mining techniques. The accuracy of these models has been validated internally through leave-one out cross validation. However, the newly generated models have not been validated to see how well they predict in the real world. Our study seeks to find out how well these machine learning based models perform against standard models for eighteen new flight and ground software projects. The accurate performance of the models against current real world projects is extremely important for practitioners to adapt new techniques.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130517750","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4617948
J. Lourenço, Carlos A. Bana e Costa, Alec Morton
In this paper four commercial software packages for multi-criteria resource allocation are analyzed: Equity, HiPriority, Logical Decisions Portfolio and Expert Choice Resource Aligner. The key technical distinction concerns the type of resource allocation procedure used: Equity uses the benefit-to-cost ratio approach, HiPriority also uses the benefit-to-cost ratio approach and an exhaustive enumeration approach, whereas Logical Decisions Portfolio and Expert Choice Resource Aligner use a mathematical programming approach.
{"title":"Software packages for multi-criteria resource allocation","authors":"J. Lourenço, Carlos A. Bana e Costa, Alec Morton","doi":"10.1109/IEMCE.2008.4617948","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4617948","url":null,"abstract":"In this paper four commercial software packages for multi-criteria resource allocation are analyzed: Equity, HiPriority, Logical Decisions Portfolio and Expert Choice Resource Aligner. The key technical distinction concerns the type of resource allocation procedure used: Equity uses the benefit-to-cost ratio approach, HiPriority also uses the benefit-to-cost ratio approach and an exhaustive enumeration approach, whereas Logical Decisions Portfolio and Expert Choice Resource Aligner use a mathematical programming approach.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252876","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 : 2008-06-28DOI: 10.1109/IEMCE.2008.4618008
M. Gomes, A. Barbosa‐Póvoa, A. Novais
This paper studies the performance of two Mixed Integer Linear Programming (MILP) models to solve scheduling problems in a flexible job shop environment with recirculation and assembly using a due-date-based objective function. The models convey different approaches both in the modelling of time (discrete and continuous approaches) as well as in the assignment of jobs to machines. In the discrete time formulation, time is modelled explicitly through a time index with no binary variables being required for machine assignment. In the continuous time formulation, modelling of time is implicit and jobs are assigned to machines through binary variables. The formulations are compared by scheduling a job shop system considered close to the reality of the mould making industry. Both models were tested for sets that range from 10 to 40 jobs to be scheduled and for operational scenarios of (1) a single machine per operation and (2) two or more machines in parallel per operation. As a main conclusion it can be stated that in the first scenario the continuous time formulation performs better than its discrete counterpart while in the second scenario the discrete time formulation outperforms the continuous one.
{"title":"Scheduling of job shop, make-to-order industries with recirculation and assembly: a MILP approach","authors":"M. Gomes, A. Barbosa‐Póvoa, A. Novais","doi":"10.1109/IEMCE.2008.4618008","DOIUrl":"https://doi.org/10.1109/IEMCE.2008.4618008","url":null,"abstract":"This paper studies the performance of two Mixed Integer Linear Programming (MILP) models to solve scheduling problems in a flexible job shop environment with recirculation and assembly using a due-date-based objective function. The models convey different approaches both in the modelling of time (discrete and continuous approaches) as well as in the assignment of jobs to machines. In the discrete time formulation, time is modelled explicitly through a time index with no binary variables being required for machine assignment. In the continuous time formulation, modelling of time is implicit and jobs are assigned to machines through binary variables. The formulations are compared by scheduling a job shop system considered close to the reality of the mould making industry. Both models were tested for sets that range from 10 to 40 jobs to be scheduled and for operational scenarios of (1) a single machine per operation and (2) two or more machines in parallel per operation. As a main conclusion it can be stated that in the first scenario the continuous time formulation performs better than its discrete counterpart while in the second scenario the discrete time formulation outperforms the continuous one.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133725096","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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