Pub Date : 2016-01-12DOI: 10.1504/IJIDS.2015.074131
Narravula Ankaiah, V. Ravi
Traditional data envelopment analysis (DEA) has serious shortcomings: 1) linear programming is run as many times as the number of decision making units (DMUs) resulting in no common set of weights for them; 2) maximising efficiency, a nonlinear optimisation problem, is approximated by a linear programming problem (LPP); 3) the efficiencies obtained by DEA are only relative. Hence, we propose multi objective DEA (MODEA) solved by differential evolution. Here, we maximise the efficiencies of all the DMUs simultaneously. We developed two variants of the MODEA using: 1) scalar optimisation; 2) Max-Min approach. The effectiveness of the proposed methods is demonstrated on eight datasets taken from literature. We also applied NSGA-II to solve the nonlinear optimisation problem in the strict multi objective sense. It was found that MODEA1, MODEA2 and NSGA-II are comparable, as evidenced by Spearman's rank correlation coefficient test. However, MODEA1, MODEA2, and NSGA-II yielded better discrimination among the DMUs compared to the traditional DEA.
{"title":"Multi objective constrained optimisation of data envelopment analysis by differential evolution","authors":"Narravula Ankaiah, V. Ravi","doi":"10.1504/IJIDS.2015.074131","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.074131","url":null,"abstract":"Traditional data envelopment analysis (DEA) has serious shortcomings: 1) linear programming is run as many times as the number of decision making units (DMUs) resulting in no common set of weights for them; 2) maximising efficiency, a nonlinear optimisation problem, is approximated by a linear programming problem (LPP); 3) the efficiencies obtained by DEA are only relative. Hence, we propose multi objective DEA (MODEA) solved by differential evolution. Here, we maximise the efficiencies of all the DMUs simultaneously. We developed two variants of the MODEA using: 1) scalar optimisation; 2) Max-Min approach. The effectiveness of the proposed methods is demonstrated on eight datasets taken from literature. We also applied NSGA-II to solve the nonlinear optimisation problem in the strict multi objective sense. It was found that MODEA1, MODEA2 and NSGA-II are comparable, as evidenced by Spearman's rank correlation coefficient test. However, MODEA1, MODEA2, and NSGA-II yielded better discrimination among the DMUs compared to the traditional DEA.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133125215","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 : 2016-01-12DOI: 10.1504/IJIDS.2015.074128
Surinder Kumar, T. Raj
This paper presents the application of interpretive structural modelling (ISM) approach for modelling the variables of automated material handling systems as a useful tool in advanced manufacturing system. There are certain variables, which help in the implementation of material handling systems in advance manufacturing systems. These variables affect these material handling systems and influence one another also. The main objective of this paper is to understand the mutual interaction of these variables and to identify the 'driving variables' and the 'dependent variables'. In the present work, these variables have been identified through the literature survey and their ranking is done by a questionnaire-based survey. The ISM approach has been utilised in analysing their mutual interaction and in preparation of a model through which some key variables can be identified for the implementation of automated material handling systems (AMHS).
{"title":"An ISM approach for modelling the variables affecting the selection of material handling equipments in advance manufacturing system","authors":"Surinder Kumar, T. Raj","doi":"10.1504/IJIDS.2015.074128","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.074128","url":null,"abstract":"This paper presents the application of interpretive structural modelling (ISM) approach for modelling the variables of automated material handling systems as a useful tool in advanced manufacturing system. There are certain variables, which help in the implementation of material handling systems in advance manufacturing systems. These variables affect these material handling systems and influence one another also. The main objective of this paper is to understand the mutual interaction of these variables and to identify the 'driving variables' and the 'dependent variables'. In the present work, these variables have been identified through the literature survey and their ranking is done by a questionnaire-based survey. The ISM approach has been utilised in analysing their mutual interaction and in preparation of a model through which some key variables can be identified for the implementation of automated material handling systems (AMHS).","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129135502","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 : 2015-08-24DOI: 10.1504/IJIDS.2015.071372
A. P. Sant’Anna, H. G. Costa, Valdecy Pereira
This paper develops an approach for sorting based on randomising the trichotomic decision about classifying an alternative as superior, inferior or indifferent to a certain number of profiles. The alternatives to be classified and the representative profiles are determined by performances under multiple criteria. The alternative is allocated to the category for which the probabilities of being above and below such a category are nearest to one another. A previous development in this stream is ELECTRE TRI-nC. Results of application of the new approach are compared to those obtained in a previous application of ELECTRE TRI-nC. A second analysis explores the new method when applied to a situation in which the evaluations come from a group of people instead of only one evaluator. The robustness of the approach was also tested by comparing classifications from benevolent and exacting rules. The results of application of the different rules are similar.
{"title":"CPP-TRI: a sorting method based on the probabilistic composition of preferences","authors":"A. P. Sant’Anna, H. G. Costa, Valdecy Pereira","doi":"10.1504/IJIDS.2015.071372","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.071372","url":null,"abstract":"This paper develops an approach for sorting based on randomising the trichotomic decision about classifying an alternative as superior, inferior or indifferent to a certain number of profiles. The alternatives to be classified and the representative profiles are determined by performances under multiple criteria. The alternative is allocated to the category for which the probabilities of being above and below such a category are nearest to one another. A previous development in this stream is ELECTRE TRI-nC. Results of application of the new approach are compared to those obtained in a previous application of ELECTRE TRI-nC. A second analysis explores the new method when applied to a situation in which the evaluations come from a group of people instead of only one evaluator. The robustness of the approach was also tested by comparing classifications from benevolent and exacting rules. The results of application of the different rules are similar.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332989","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 : 2015-08-24DOI: 10.1504/IJIDS.2015.071371
M. A. Zamil, Samer M. J. Samarah
Due to the spatio-temporal aspects of vehicles within vehicular ad-hoc networks, traditional clustering techniques are not effective as they rely on static configuration. In this paper, we proposed a dynamic clustering technique that is based on rough theory of grouping data. The contributions of this research are to propose: A self-organising clustering technique as an extension to dynamic rough clustering and a framework that manages the integration among different algorithmic components, which are required to develop such soft computing systems. We performed extensive experiments in order to evaluate the effectiveness of the proposed technique in terms of: communication load, inter and intra connectivity, threshold analysis, and relationship among data clusters. Furthermore, a performance comparison with relevant techniques has been reported. The results indicated that the proposed technique is robust and promising in comparison with existing techniques in the domain of wireless sensor networks.
{"title":"Dynamic rough-based clustering for vehicular ad-hoc networks","authors":"M. A. Zamil, Samer M. J. Samarah","doi":"10.1504/IJIDS.2015.071371","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.071371","url":null,"abstract":"Due to the spatio-temporal aspects of vehicles within vehicular ad-hoc networks, traditional clustering techniques are not effective as they rely on static configuration. In this paper, we proposed a dynamic clustering technique that is based on rough theory of grouping data. The contributions of this research are to propose: A self-organising clustering technique as an extension to dynamic rough clustering and a framework that manages the integration among different algorithmic components, which are required to develop such soft computing systems. We performed extensive experiments in order to evaluate the effectiveness of the proposed technique in terms of: communication load, inter and intra connectivity, threshold analysis, and relationship among data clusters. Furthermore, a performance comparison with relevant techniques has been reported. The results indicated that the proposed technique is robust and promising in comparison with existing techniques in the domain of wireless sensor networks.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114698887","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 : 2015-08-24DOI: 10.1504/IJIDS.2015.071370
P. S. Dharmapala, Piyadasa Edirisuriya
We propose a method to classify banks as profit-makers, loss-makers or neither by randomising Thompson-Thrall's linked-cone (LC) profit ratios with assurance-regions (AR) in data envelopment analysis (DEA). Thompson et al. (1995) addressed 'profitability' of banks with the introduction of LC-AR profit ratios. We randomise LC-AR and show that randomised profit ratios uncover more profit-makers than Thompson-Thrall's profit ratios. In an application to banks from four South Asian nations, we demonstrate how to do this classification. Then, using cluster analysis with financial ratios and randomised profit ratios, we strengthen the classification of profit-makers and do a comparative study across nations.
{"title":"Classification of profitability using DEA and cluster analysis: a transnational comparison of South Asian banks","authors":"P. S. Dharmapala, Piyadasa Edirisuriya","doi":"10.1504/IJIDS.2015.071370","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.071370","url":null,"abstract":"We propose a method to classify banks as profit-makers, loss-makers or neither by randomising Thompson-Thrall's linked-cone (LC) profit ratios with assurance-regions (AR) in data envelopment analysis (DEA). Thompson et al. (1995) addressed 'profitability' of banks with the introduction of LC-AR profit ratios. We randomise LC-AR and show that randomised profit ratios uncover more profit-makers than Thompson-Thrall's profit ratios. In an application to banks from four South Asian nations, we demonstrate how to do this classification. Then, using cluster analysis with financial ratios and randomised profit ratios, we strengthen the classification of profit-makers and do a comparative study across nations.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134433429","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 : 2015-08-24DOI: 10.1504/IJIDS.2015.071374
Zhong Wang, Zheng-liang Xu
Based on the path dependence theory and path creation theory, the transformation path and mechanism from old urban industrial areas to smart city was studied by conducting a case study on Shijingshan District of Beijing. It is also hoped to contribute some useful experience for other old industrial areas' transformation endeavour.
{"title":"On transformation from industrial city to smart city: a case study on Shijingshan District of Beijing","authors":"Zhong Wang, Zheng-liang Xu","doi":"10.1504/IJIDS.2015.071374","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.071374","url":null,"abstract":"Based on the path dependence theory and path creation theory, the transformation path and mechanism from old urban industrial areas to smart city was studied by conducting a case study on Shijingshan District of Beijing. It is also hoped to contribute some useful experience for other old industrial areas' transformation endeavour.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482578","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 : 2015-08-24DOI: 10.1504/IJIDS.2015.071373
Srijith Rajeev, S. Kurian, B. Paul
This paper proposes a modified serial scheduling scheme for resource constrained project scheduling weighted earliness tardiness problem (RCPSPWET). Project activities are assumed to have known unit earliness and tardiness penalty cost and constant renewable resource requirements. The objective is to schedule the activities in such a way that it minimises the total weighted earliness-tardiness penalty cost of the project, subject to the precedence constraints and the constant renewable resource availability constraints. A modified serial scheduling scheme using a sliding factor is proposed along with a heuristic method for solving the RCPSPWET.
{"title":"A modified serial scheduling scheme for resource constrained project scheduling weighted earliness tardiness problem","authors":"Srijith Rajeev, S. Kurian, B. Paul","doi":"10.1504/IJIDS.2015.071373","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.071373","url":null,"abstract":"This paper proposes a modified serial scheduling scheme for resource constrained project scheduling weighted earliness tardiness problem (RCPSPWET). Project activities are assumed to have known unit earliness and tardiness penalty cost and constant renewable resource requirements. The objective is to schedule the activities in such a way that it minimises the total weighted earliness-tardiness penalty cost of the project, subject to the precedence constraints and the constant renewable resource availability constraints. A modified serial scheduling scheme using a sliding factor is proposed along with a heuristic method for solving the RCPSPWET.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130635292","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 : 2015-04-13DOI: 10.1504/IJIDS.2015.068756
Gong Bing, Joaquín B. Ordieres Meré, C. B. Cabrera
Ozone is one of the worst harmful pollutants nowadays which affects the public health, so it is necessary to predict ozone level accurately in order to prevent the public from exposing to the pollution when it exceeds the limits. This study aims to predict daily maximum ozone concentrations in the metropolitan area of Mexico City by using four individual artificial intelligence techniques: multiple linear regression, neural networks, support vector machine, random forest, and two ensemble techniques: linear ensemble and greedy ensemble. Results from the comparison among different artificial intelligence techniques clearly showed that ensemble models, especially linear ensemble model, outperformed the individual artificial intelligence techniques. Moreover, it is concluded that the performance of models is influenced by the time ahead factor for the predictors. The errors of prediction models related to the data of current day are only around 50% of ones corresponding to the data of the previous day. In addition, in order to select the input variables properly, analysis of variance (ANOVA) based on multiple linear regression models was performed. Best model prediction capability also depends on the ranges of input variables.
{"title":"Prediction models for ozone in metropolitan area of Mexico City based on artificial intelligence techniques","authors":"Gong Bing, Joaquín B. Ordieres Meré, C. B. Cabrera","doi":"10.1504/IJIDS.2015.068756","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.068756","url":null,"abstract":"Ozone is one of the worst harmful pollutants nowadays which affects the public health, so it is necessary to predict ozone level accurately in order to prevent the public from exposing to the pollution when it exceeds the limits. This study aims to predict daily maximum ozone concentrations in the metropolitan area of Mexico City by using four individual artificial intelligence techniques: multiple linear regression, neural networks, support vector machine, random forest, and two ensemble techniques: linear ensemble and greedy ensemble. Results from the comparison among different artificial intelligence techniques clearly showed that ensemble models, especially linear ensemble model, outperformed the individual artificial intelligence techniques. Moreover, it is concluded that the performance of models is influenced by the time ahead factor for the predictors. The errors of prediction models related to the data of current day are only around 50% of ones corresponding to the data of the previous day. In addition, in order to select the input variables properly, analysis of variance (ANOVA) based on multiple linear regression models was performed. Best model prediction capability also depends on the ranges of input variables.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125339823","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 : 2015-04-13DOI: 10.1504/IJIDS.2015.068757
R. Bisoi, P. Dash
A dynamic neural network (DNN) and a new computationally efficient functional link artificial neural network (CEFLANN) combination optimised with differential evolution (DE) is presented in this paper to predict financial time series like stock price indices and stock return volatilities of two important Indian stock markets, namely the Reliance Industries Limited (RIL), and NIFTY from one day ahead to one month in advance. The DNN comprises a set of 1st order IIR filters for processing the past inputs and their functional expansions and its weights are adjusted using a sliding mode strategy known for its fast convergence and robustness with respect to chaotic variations in the inputs. Extensive computer simulations are carried out to predict simultaneously the stock market indices and return volatilities and it is observed that the simple IIR-based DNN-FLANN model hybridised with DE produces better forecasting accuracies in comparison to the more complicated neural architectures.
{"title":"Prediction of financial time series and its volatility using a hybrid dynamic neural network trained by sliding mode algorithm and differential evolution","authors":"R. Bisoi, P. Dash","doi":"10.1504/IJIDS.2015.068757","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.068757","url":null,"abstract":"A dynamic neural network (DNN) and a new computationally efficient functional link artificial neural network (CEFLANN) combination optimised with differential evolution (DE) is presented in this paper to predict financial time series like stock price indices and stock return volatilities of two important Indian stock markets, namely the Reliance Industries Limited (RIL), and NIFTY from one day ahead to one month in advance. The DNN comprises a set of 1st order IIR filters for processing the past inputs and their functional expansions and its weights are adjusted using a sliding mode strategy known for its fast convergence and robustness with respect to chaotic variations in the inputs. Extensive computer simulations are carried out to predict simultaneously the stock market indices and return volatilities and it is observed that the simple IIR-based DNN-FLANN model hybridised with DE produces better forecasting accuracies in comparison to the more complicated neural architectures.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122681442","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 : 2015-04-13DOI: 10.1504/IJIDS.2015.068754
M. Afsharian, Heinz Ahn, M. Alirezaee
In many cases of DEA-based efficiency measurement systems, only a set of outputs has to be assumed to be proportional to a set of inputs. The assumption of constant returns to scale (CRS) is required with respect to the selected sets of inputs and outputs, preserving the variable returns to scale (VRS) assumption for the remaining factors. In such situations, neither CRS nor VRS-based models can provide valid results. In contrast to that, the selective proportionality axiom allows applying any desired combination of CRS and VRS. This paper proposes free disposal hull (FDH) technologies which incorporate the selective proportionality axiom. The considered technologies do not restrict themselves to convex technologies and are built solely on minimal axioms of non-emptiness and free disposability. The resulting FDH models are formulated as linear programming problems which are not only simple to solve but also provide an intuitive interpretation corresponding to the results. An illustrative numerical example is presented to explain the properties and features of the suggested FDH models.
{"title":"Developing selective proportionality on the FDH models: new insight on the proportionality axiom","authors":"M. Afsharian, Heinz Ahn, M. Alirezaee","doi":"10.1504/IJIDS.2015.068754","DOIUrl":"https://doi.org/10.1504/IJIDS.2015.068754","url":null,"abstract":"In many cases of DEA-based efficiency measurement systems, only a set of outputs has to be assumed to be proportional to a set of inputs. The assumption of constant returns to scale (CRS) is required with respect to the selected sets of inputs and outputs, preserving the variable returns to scale (VRS) assumption for the remaining factors. In such situations, neither CRS nor VRS-based models can provide valid results. In contrast to that, the selective proportionality axiom allows applying any desired combination of CRS and VRS. This paper proposes free disposal hull (FDH) technologies which incorporate the selective proportionality axiom. The considered technologies do not restrict themselves to convex technologies and are built solely on minimal axioms of non-emptiness and free disposability. The resulting FDH models are formulated as linear programming problems which are not only simple to solve but also provide an intuitive interpretation corresponding to the results. An illustrative numerical example is presented to explain the properties and features of the suggested FDH models.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114594266","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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