Pub Date : 2021-01-07DOI: 10.1504/IJENM.2021.10034717
M. Prabha, P. Murugesan, Nivethitha Santhanam
The purpose of this study is to investigate how the impact of PE on motivation and satisfaction varies according to the faculty member's age and work experience. Data were collected from 402 faculty members employed at technical institutions across India. From the results of the study, it is evident that faculty members with above average age exhibited higher PE, motivation and satisfaction. Subsequently, faculty members with above average experience possessed higher level of PE and satisfaction. Further, the implication of these findings suggests that the proposed framework will act as a benchmarking tool to measure the psychological empowerment among the faculty members.
{"title":"A study on the impact of psychological empowerment on motivation and satisfaction among the faculty working in the technical educational institutions in India based on age and work","authors":"M. Prabha, P. Murugesan, Nivethitha Santhanam","doi":"10.1504/IJENM.2021.10034717","DOIUrl":"https://doi.org/10.1504/IJENM.2021.10034717","url":null,"abstract":"The purpose of this study is to investigate how the impact of PE on motivation and satisfaction varies according to the faculty member's age and work experience. Data were collected from 402 faculty members employed at technical institutions across India. From the results of the study, it is evident that faculty members with above average age exhibited higher PE, motivation and satisfaction. Subsequently, faculty members with above average experience possessed higher level of PE and satisfaction. Further, the implication of these findings suggests that the proposed framework will act as a benchmarking tool to measure the psychological empowerment among the faculty members.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44498383","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 : 2021-01-07DOI: 10.1504/ijenm.2022.10029548
D. Komalavalli, T. Padma
As on miniature devices to military applications, the cloud computing plays a vital role. Building efficient cloud management systems will lead to improve extraordinary features in the applications of cloud services. In cloud atmosphere, enormous tasks are performed simultaneously; an effectual task scheduling is very important role to get better performance of the cloud system. An assortment of cloud-based task scheduling algorithms is offered that schedule the user's task to resources for implementation. The innovation of cloud computing, conventional scheduling algorithms cannot gratify the cloud's requirements, the researchers are frustrating to modify conventional algorithms that can accomplish the cloud needs similar to rapid elasticity, resource pooling and on-demand self-service. Also, the priority becomes an important task when dealing with critical functionality systems. Real world invocations are needed to make an efficient selection in cloud services through a collection of functionally equivalent services. This research aims to detect a novel method to predict the system functionality without consuming more time and less expensive for implementation. Investigation on swarm intelligence-based task scheduling is presented. This will improve the power consumption by reducing overloads when more services opt for a single load. Experiments were carried out to test the effectiveness of the method.
{"title":"Swarm intelligence-based task scheduling algorithm for load balancing in cloud system","authors":"D. Komalavalli, T. Padma","doi":"10.1504/ijenm.2022.10029548","DOIUrl":"https://doi.org/10.1504/ijenm.2022.10029548","url":null,"abstract":"As on miniature devices to military applications, the cloud computing plays a vital role. Building efficient cloud management systems will lead to improve extraordinary features in the applications of cloud services. In cloud atmosphere, enormous tasks are performed simultaneously; an effectual task scheduling is very important role to get better performance of the cloud system. An assortment of cloud-based task scheduling algorithms is offered that schedule the user's task to resources for implementation. The innovation of cloud computing, conventional scheduling algorithms cannot gratify the cloud's requirements, the researchers are frustrating to modify conventional algorithms that can accomplish the cloud needs similar to rapid elasticity, resource pooling and on-demand self-service. Also, the priority becomes an important task when dealing with critical functionality systems. Real world invocations are needed to make an efficient selection in cloud services through a collection of functionally equivalent services. This research aims to detect a novel method to predict the system functionality without consuming more time and less expensive for implementation. Investigation on swarm intelligence-based task scheduling is presented. This will improve the power consumption by reducing overloads when more services opt for a single load. Experiments were carried out to test the effectiveness of the method.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44440624","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 : 2021-01-07DOI: 10.1504/IJENM.2021.10034718
M. N. Basariya, P. Murugesan
A model has been evolved by keeping the stock index as dependable variable and gross domestic product, consumption and consumer price index as independent variables. The assumptions to arrive the model are tested. The behaviour of the model is studied by including and relaxing the important assumption of stationarity in the economic data. It was finally found that the model becomes significant if we violate the stationary assumption for both dependent variable stock price and independent variable consumer price index, consumption and gross domestic product. This is evidenced by demonstrating the model by using the data related to the macroeconomic variables of developed countries (USA, UK), emerging countries (India, Brazil), and frontier countries (Latvia, Estonia).
{"title":"A study on the impact of macroeconomic indicators on the stock price by relaxing the assumptions of stationarity in time series data in a general linear model","authors":"M. N. Basariya, P. Murugesan","doi":"10.1504/IJENM.2021.10034718","DOIUrl":"https://doi.org/10.1504/IJENM.2021.10034718","url":null,"abstract":"A model has been evolved by keeping the stock index as dependable variable and gross domestic product, consumption and consumer price index as independent variables. The assumptions to arrive the model are tested. The behaviour of the model is studied by including and relaxing the important assumption of stationarity in the economic data. It was finally found that the model becomes significant if we violate the stationary assumption for both dependent variable stock price and independent variable consumer price index, consumption and gross domestic product. This is evidenced by demonstrating the model by using the data related to the macroeconomic variables of developed countries (USA, UK), emerging countries (India, Brazil), and frontier countries (Latvia, Estonia).","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41316539","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 : 2020-12-07DOI: 10.1504/ijenm.2020.10034046
S. Prabu, S. Karthik
The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customisation and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimising the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.
{"title":"Attempting to design differed service broker forwarding strategy for data centres in cloud environment","authors":"S. Prabu, S. Karthik","doi":"10.1504/ijenm.2020.10034046","DOIUrl":"https://doi.org/10.1504/ijenm.2020.10034046","url":null,"abstract":"The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customisation and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimising the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44184754","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 : 2020-12-07DOI: 10.1504/ijenm.2020.10034045
S. Karthikeyan, P. Devi
The web services are the commonly prevailing service clusters of the service-oriented framework (SOA) and service related assessments. The disputes are related to the quality of service (QoS) for choosing web services freely and creating a collection of web services for carrying out trades. The ultimate aim is to choose web services based on the non-functional features and quality of service (QoS) ranks. In order to choose a web service for every process a social aspect web (SAW) scheme is employed which does not comprehensively make use of all sorts of web services. It employs the requirements of the user for ranking web service set of the applications and finally provides SAW schemes over a set of web service applicants. The mechanism helps in selecting the web services in terms of quality of services (QoS) scores and user needs. The choice of web services over varied web services based on scheme can be utilised for aggregation and organising web services resulting in optimised time of reply to the web service actions.
{"title":"An attempt to enhance the time of reply for web service composition with QoS","authors":"S. Karthikeyan, P. Devi","doi":"10.1504/ijenm.2020.10034045","DOIUrl":"https://doi.org/10.1504/ijenm.2020.10034045","url":null,"abstract":"The web services are the commonly prevailing service clusters of the service-oriented framework (SOA) and service related assessments. The disputes are related to the quality of service (QoS) for choosing web services freely and creating a collection of web services for carrying out trades. The ultimate aim is to choose web services based on the non-functional features and quality of service (QoS) ranks. In order to choose a web service for every process a social aspect web (SAW) scheme is employed which does not comprehensively make use of all sorts of web services. It employs the requirements of the user for ranking web service set of the applications and finally provides SAW schemes over a set of web service applicants. The mechanism helps in selecting the web services in terms of quality of services (QoS) scores and user needs. The choice of web services over varied web services based on scheme can be utilised for aggregation and organising web services resulting in optimised time of reply to the web service actions.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44434410","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 : 2020-12-04DOI: 10.1504/ijenm.2020.10034003
Habibullah Khan, Hameed Sulthan Imam Abdul Samad
Cloud computing can be perceived as an amalgamation of technology, facilitator, source and as an application that raised the curtain for a shift in the global data management system. There is a need for more research and promotion to encourage the laggards towards this revolution. The present research is such a trial to explain laggards about the road map, framework and possible benefits of the strategic shift from traditional or distributed systems to cloud-based systems. The research work is mainly carried out to facilitate optimal information technology (IT) services using cloud-based technology for a medium-sized multi-national company. The study tool, a questionnaire, is shared with 250 respondents of different cadres in the organisation based on 28 countries worldwide. To explain the necessity of this shift, the study collected the version of the employees regarding their favouritism for cloud technology adoption (CA) as well as the need for user training (UT) for practicing cloud adoption.
{"title":"Enterprise strategic shift of technology: cloud-based systems verses traditional distributed system","authors":"Habibullah Khan, Hameed Sulthan Imam Abdul Samad","doi":"10.1504/ijenm.2020.10034003","DOIUrl":"https://doi.org/10.1504/ijenm.2020.10034003","url":null,"abstract":"Cloud computing can be perceived as an amalgamation of technology, facilitator, source and as an application that raised the curtain for a shift in the global data management system. There is a need for more research and promotion to encourage the laggards towards this revolution. The present research is such a trial to explain laggards about the road map, framework and possible benefits of the strategic shift from traditional or distributed systems to cloud-based systems. The research work is mainly carried out to facilitate optimal information technology (IT) services using cloud-based technology for a medium-sized multi-national company. The study tool, a questionnaire, is shared with 250 respondents of different cadres in the organisation based on 28 countries worldwide. To explain the necessity of this shift, the study collected the version of the employees regarding their favouritism for cloud technology adoption (CA) as well as the need for user training (UT) for practicing cloud adoption.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41928799","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 : 2020-12-04DOI: 10.1504/ijenm.2020.10034005
D. Gopi, A. Pandi, R. Rajesh
In today's highly competitive environment, healthcare establishments HCEs like hospitals and health centres are focusing on service quality, as a measure to face the competition. There is a strong doubt that, whether the present quality systems practice in hospitals serve the stakeholders' expectations effectively. The authors felt that the proposed model namely integrated quality healthcare system (IQHS) with ten important critical factors could meet out this gap. The objective of this paper is to discuss the IQHS practice in hospitals in Tamil Nadu, India through the perception of stakeholders. Further the model has been validated through structural equation modelling (SEM) approach. The authors conclude that the contextual relationships of the ten critical factors of IQHS were found to be the significant drivers of quality performance to attain sustainability.
{"title":"Integrated quality healthcare practice in hospitals - a structural equation modelling approach","authors":"D. Gopi, A. Pandi, R. Rajesh","doi":"10.1504/ijenm.2020.10034005","DOIUrl":"https://doi.org/10.1504/ijenm.2020.10034005","url":null,"abstract":"In today's highly competitive environment, healthcare establishments HCEs like hospitals and health centres are focusing on service quality, as a measure to face the competition. There is a strong doubt that, whether the present quality systems practice in hospitals serve the stakeholders' expectations effectively. The authors felt that the proposed model namely integrated quality healthcare system (IQHS) with ten important critical factors could meet out this gap. The objective of this paper is to discuss the IQHS practice in hospitals in Tamil Nadu, India through the perception of stakeholders. Further the model has been validated through structural equation modelling (SEM) approach. The authors conclude that the contextual relationships of the ten critical factors of IQHS were found to be the significant drivers of quality performance to attain sustainability.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46662788","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 : 2020-12-04DOI: 10.1504/ijenm.2020.10034004
Santanu Mandal, Venkateswara Rao Korasiga, Payel Das
Social media has been dominant in shaping competition and business performance. However, the importance of social media in the development of medical supply chain capabilities is still unexplored. Our research investigates the role of social media as a prominent enabler of medical supply chain agility and resilience. To this end, the study explores the importance of social media interaction and social media usability on medical chain agility and resilience. Furthermore, the study examined the moderating role of social media orientation on the above linkages. The responses were collected using online survey and were analysed using structural equation modelling. Based on 276 completed responses, the study found positive influences of social media interaction and social media usability on both medical chain agility and medical chain resilience. The study contributes to the emerging literature of social media by undersigning the importance of social media interaction, usability and orientation in services supply chain.
{"title":"Influence of social media on medical chain agility and resilience: an empirical investigation","authors":"Santanu Mandal, Venkateswara Rao Korasiga, Payel Das","doi":"10.1504/ijenm.2020.10034004","DOIUrl":"https://doi.org/10.1504/ijenm.2020.10034004","url":null,"abstract":"Social media has been dominant in shaping competition and business performance. However, the importance of social media in the development of medical supply chain capabilities is still unexplored. Our research investigates the role of social media as a prominent enabler of medical supply chain agility and resilience. To this end, the study explores the importance of social media interaction and social media usability on medical chain agility and resilience. Furthermore, the study examined the moderating role of social media orientation on the above linkages. The responses were collected using online survey and were analysed using structural equation modelling. Based on 276 completed responses, the study found positive influences of social media interaction and social media usability on both medical chain agility and medical chain resilience. The study contributes to the emerging literature of social media by undersigning the importance of social media interaction, usability and orientation in services supply chain.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45163237","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 : 2020-07-17DOI: 10.1504/IJENM.2020.10021930
V. Vinu, A. Bright
Employee productivity is a key factor for the success of manufacturing companies. Performance analysis studies with a wide range of approaches are used in an attempt to improve employee productivity. However, these studies take only one or two factor into consideration, which may not provide a comprehensive solution to the productivity problem they face. An extended ACHIEVE model by the name MACHIEVE model has been proposed to overcome this, with additional factor M-'Material'. Survey analysis based on this new model has been performed among employees in the steel manufacturing industry in Kanjikode. This is a structural equation modelling analysis which used filled questionnaire data of randomly selected 420 employees from among a population of 1,280 employees. The results indicated that all eight factors of MACHIEVE model has impact on employee productivity. The analysis also suggested that the factors C-Clarity and H-Help have the greatest impact on labour productivity.
{"title":"Study and prioritizing factors of Productivity of the Employees of Steel Manufacturing Industry, Kanjikode by extended ACHIEVE Model","authors":"V. Vinu, A. Bright","doi":"10.1504/IJENM.2020.10021930","DOIUrl":"https://doi.org/10.1504/IJENM.2020.10021930","url":null,"abstract":"Employee productivity is a key factor for the success of manufacturing companies. Performance analysis studies with a wide range of approaches are used in an attempt to improve employee productivity. However, these studies take only one or two factor into consideration, which may not provide a comprehensive solution to the productivity problem they face. An extended ACHIEVE model by the name MACHIEVE model has been proposed to overcome this, with additional factor M-'Material'. Survey analysis based on this new model has been performed among employees in the steel manufacturing industry in Kanjikode. This is a structural equation modelling analysis which used filled questionnaire data of randomly selected 420 employees from among a population of 1,280 employees. The results indicated that all eight factors of MACHIEVE model has impact on employee productivity. The analysis also suggested that the factors C-Clarity and H-Help have the greatest impact on labour productivity.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"11 1","pages":"220"},"PeriodicalIF":0.0,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42069468","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 : 2020-07-17DOI: 10.1504/ijenm.2020.10030597
C. Krubakaran, K. Venkatachalapathy
Decision making and business support is an important process in data mining and this can be achieved by means of pattern classification and extraction. Since the huge volume of data needs starving knowledge to process and organisation faces many issues in solving those issues. Clustering is an effective technology available to analyse and convert the datasets into meaningful patterns. Clustering in data mining uses various attributes to compute large dataset and meet out the real time issues. The proposed model uses Bayesian hierarchical clustering model with Dirichlet model to resolve the issues in large dataset analysis. Experimental results prove that proposed model experience better clustering efficiency than conventional complete link agglomerative clustering by achieving 92% of clustering accuracy.
{"title":"A novel learning and prediction Bayesian hierarchical clustering-Dirichlet mixture model for effective data mining","authors":"C. Krubakaran, K. Venkatachalapathy","doi":"10.1504/ijenm.2020.10030597","DOIUrl":"https://doi.org/10.1504/ijenm.2020.10030597","url":null,"abstract":"Decision making and business support is an important process in data mining and this can be achieved by means of pattern classification and extraction. Since the huge volume of data needs starving knowledge to process and organisation faces many issues in solving those issues. Clustering is an effective technology available to analyse and convert the datasets into meaningful patterns. Clustering in data mining uses various attributes to compute large dataset and meet out the real time issues. The proposed model uses Bayesian hierarchical clustering model with Dirichlet model to resolve the issues in large dataset analysis. Experimental results prove that proposed model experience better clustering efficiency than conventional complete link agglomerative clustering by achieving 92% of clustering accuracy.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48902077","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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