Pub Date : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.001
Guixiang Lv, L. Xing, Honggang Wang, Hong Liu
Storage area networks (SANs) are one of the prevalent reliable data storage solutions. However, cascading failures triggered by data overloading have become a major threat to SANs, preventing the desired quality of service from being delivered to users. Based on our preliminary works on studying the impacts of data loading on the reliability performance of SANs, this paper advances the state of the art by implementing node degree-based load redistribution strategies to enhance the SAN reliability, thus mitigating or even preventing the occurrence of cascading failures during the mission time. Load-based and reliability-based node selection rules are considered, which choose nodes with the highest load level and the lowest reliability for load redistribution, respectively. The relationship between data loading and reliability of an individual SAN component is modeled using the accelerated failure-time model with the power law. The SAN reliability is assessed using a combinatorial decision diagram-based approach. The application and effectiveness of the proposed load redistribution strategies are demonstrated and compared through a case study of an SAN with the mesh topology.
{"title":"Load Redistribution-based Reliability Enhancement for Storage Area Networks","authors":"Guixiang Lv, L. Xing, Honggang Wang, Hong Liu","doi":"10.33889/ijmems.2023.8.1.001","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.001","url":null,"abstract":"Storage area networks (SANs) are one of the prevalent reliable data storage solutions. However, cascading failures triggered by data overloading have become a major threat to SANs, preventing the desired quality of service from being delivered to users. Based on our preliminary works on studying the impacts of data loading on the reliability performance of SANs, this paper advances the state of the art by implementing node degree-based load redistribution strategies to enhance the SAN reliability, thus mitigating or even preventing the occurrence of cascading failures during the mission time. Load-based and reliability-based node selection rules are considered, which choose nodes with the highest load level and the lowest reliability for load redistribution, respectively. The relationship between data loading and reliability of an individual SAN component is modeled using the accelerated failure-time model with the power law. The SAN reliability is assessed using a combinatorial decision diagram-based approach. The application and effectiveness of the proposed load redistribution strategies are demonstrated and compared through a case study of an SAN with the mesh topology.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45205545","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 : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.010
R. Suryawanshi, R. Deore
Managing a distribution planning problem in an integrated supply chain environment is daunting. These challenges are aggravated when there are multiple stakeholders involved. The proposed simulation model provides an environment to gauge the existing adversities in the distribution plan of a two-stage supply chain (SC) network. In addition to the underlined issues, the model captures the influence of decisions from neighboring firms in a periodical decision-making plan. A cellular automaton (CA) based approach is implemented to present the complete analysis and impact of endogenous and exogenous situations affecting the decision-making. The decision environment involves two states of selecting an efficient supply chain strategy (ESC) and responsive supply chain strategy (RSC) based on the implicit uncertainty and performance of Moore-based neighboring cells. The study contributes to the scant literature on the application of CA-based evolutionary decisions in the SC context. The simulation model characterizes the neighboring firm's influences in strategic decision-making and the implicit uncertainty in supply and demand. The modeling framework is tested with a significantly larger set, and the results are graphically presented to provide further clarity.
{"title":"Simulation of Supply Chain Performance in the Period of Implicit Uncertainty using Cellular Automata","authors":"R. Suryawanshi, R. Deore","doi":"10.33889/ijmems.2023.8.1.010","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.010","url":null,"abstract":"Managing a distribution planning problem in an integrated supply chain environment is daunting. These challenges are aggravated when there are multiple stakeholders involved. The proposed simulation model provides an environment to gauge the existing adversities in the distribution plan of a two-stage supply chain (SC) network. In addition to the underlined issues, the model captures the influence of decisions from neighboring firms in a periodical decision-making plan. A cellular automaton (CA) based approach is implemented to present the complete analysis and impact of endogenous and exogenous situations affecting the decision-making. The decision environment involves two states of selecting an efficient supply chain strategy (ESC) and responsive supply chain strategy (RSC) based on the implicit uncertainty and performance of Moore-based neighboring cells. The study contributes to the scant literature on the application of CA-based evolutionary decisions in the SC context. The simulation model characterizes the neighboring firm's influences in strategic decision-making and the implicit uncertainty in supply and demand. The modeling framework is tested with a significantly larger set, and the results are graphically presented to provide further clarity.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43393526","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 : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.005
Shikha Gupta, S. Pani, K. Muduli, A. Vaish, Ashok Kumar
To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate."
{"title":"Risk Managed Cloud Adoption: An ANP Approach","authors":"Shikha Gupta, S. Pani, K. Muduli, A. Vaish, Ashok Kumar","doi":"10.33889/ijmems.2023.8.1.005","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.005","url":null,"abstract":"To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, \"business continuity and recovery planning\" and \"poor availability of services\" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are \"poor availability of services\" and \"slow response rate.\"","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48970058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we formulate the concept of generalize bonvexity/pseudobonvexity functions. We formulate duality results for second-order fractional symmetric dual programs of G-Wolfe-type model. In the next section, we explain the duality theorems under generalize bonvexity/pseudobonvexity assumptions. We identify a function lying exclusively in the class of generalize pseudobonvex and not in class of generalize bonvex functions. Our results are more generalized several known results in the literature.
{"title":"Generalized Second-Order G-Wolfe Type Fractional Symmetric Program and their Duality Relations under Generalized Assumptions","authors":"Arvind Kumar, Rajnish Kumar, Naresh Kumar, Khursheed Alam, Ramu Dubey","doi":"10.33889/ijmems.2023.8.1.009","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.009","url":null,"abstract":"In this article, we formulate the concept of generalize bonvexity/pseudobonvexity functions. We formulate duality results for second-order fractional symmetric dual programs of G-Wolfe-type model. In the next section, we explain the duality theorems under generalize bonvexity/pseudobonvexity assumptions. We identify a function lying exclusively in the class of generalize pseudobonvex and not in class of generalize bonvex functions. Our results are more generalized several known results in the literature.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46899652","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 : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.008
V. Mahate, Anand Bisen, S. Vishwakarma, S. Avikal, R. Jain
Energy is vital for techno-socio-economic development of global transportation sector. A country’s energy policy will aim to provide an appropriate mix of resources to meet its energy demand. Biofuels have emerged as an alternative to meet the energy requirements. The contribution of this study is the evaluation of sustainable biofuel energy policies to increase the usage of biofuels in the transport sector without affecting the country's food security and to achieve social, economic and environmental benefits. The successful implementation of complex relationship between the factors influencing the production and use of biofuels is also addressed. In the present work, a system dynamics model has been developed to evaluate biofuel production focusing food security and to assess its impact on the economy and the environment. Simulation results have shown that the maximum biodiesel blending between 3.03% to 11.01% is possible without impacting the food security. It has been noted that 20% or less of biodiesel blends can be used as direct replacements for diesel fuel in all heavy-duty diesel vehicles without any alteration or modification of their engines. It has been demonstrated that biofuel blending strategies have a positive impact on the reduction of CO2 emission in the Indian transport sector.
{"title":"Evaluating Biofuel Energy Policies for Sustainable Transportation Sector: A System Dynamics Approach","authors":"V. Mahate, Anand Bisen, S. Vishwakarma, S. Avikal, R. Jain","doi":"10.33889/ijmems.2023.8.1.008","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.008","url":null,"abstract":"Energy is vital for techno-socio-economic development of global transportation sector. A country’s energy policy will aim to provide an appropriate mix of resources to meet its energy demand. Biofuels have emerged as an alternative to meet the energy requirements. The contribution of this study is the evaluation of sustainable biofuel energy policies to increase the usage of biofuels in the transport sector without affecting the country's food security and to achieve social, economic and environmental benefits. The successful implementation of complex relationship between the factors influencing the production and use of biofuels is also addressed. In the present work, a system dynamics model has been developed to evaluate biofuel production focusing food security and to assess its impact on the economy and the environment. Simulation results have shown that the maximum biodiesel blending between 3.03% to 11.01% is possible without impacting the food security. It has been noted that 20% or less of biodiesel blends can be used as direct replacements for diesel fuel in all heavy-duty diesel vehicles without any alteration or modification of their engines. It has been demonstrated that biofuel blending strategies have a positive impact on the reduction of CO2 emission in the Indian transport sector.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45616306","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 : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.007
H. Kumar, Ompal Singh, Adarsh Anand, M. S. Irshad
Buying process has always carried a two-fold perspective with itself. On one hand, it is important for individuals and on other hand it is equally important for the firms to deliver the perfect need and want to the customer. Amongst this entire process, awareness along with positive motivation towards the product; plays an equally significant role in strategizing the plans for any company. Plenty of models have been proposed and many would be in the pipeline that have talked about the connectivity of these processes and their impact on the final adoption. In the current work, these processes have been studied through the analogy taken from epidemic modelling framework. Furthermore, an approximation method; Range Kutta of 4th order has been utilized to come to a near approximate solution to the otherwise available non-closed form solution. The proposed modelling framework is validated on real-life data sets and the results depict the existence and presence of various stages under consideration.
{"title":"Studying Multi-Stage Diffusion Dynamics using Epidemic Modeling Framework","authors":"H. Kumar, Ompal Singh, Adarsh Anand, M. S. Irshad","doi":"10.33889/ijmems.2023.8.1.007","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.007","url":null,"abstract":"Buying process has always carried a two-fold perspective with itself. On one hand, it is important for individuals and on other hand it is equally important for the firms to deliver the perfect need and want to the customer. Amongst this entire process, awareness along with positive motivation towards the product; plays an equally significant role in strategizing the plans for any company. Plenty of models have been proposed and many would be in the pipeline that have talked about the connectivity of these processes and their impact on the final adoption. In the current work, these processes have been studied through the analogy taken from epidemic modelling framework. Furthermore, an approximation method; Range Kutta of 4th order has been utilized to come to a near approximate solution to the otherwise available non-closed form solution. The proposed modelling framework is validated on real-life data sets and the results depict the existence and presence of various stages under consideration.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44788312","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 : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.002
Huzaifa Kafeel, Prof Vikas Kumar, L. Duong
Blockchain is an emerging and disruptive technology and has the potential to change how supply chains manage their information. However, Blockchain is accompanied by challenges, such as increased information technology complexity, issues of scalability, incompatibility with existing laws and regulations, and a lack of awareness among organisations and customers. This research conducts a bibliometric analysis based on a sample of 68 papers which address the barriers and enablers of blockchain adoption in supply chain management. A recurring theme in the papers was managers’ lack of understanding of Blockchain, which acted as a barrier to adoption. This study proposes a possible explanation by arguing that the academic models used in literature are too obscure from a manager’s perspective and that there is a need to synthesise literature into a framework which is easily understood and familiar. Therefore, the barriers and enablers identified in this study were grouped into the robust Political, Economic, Social, Technological, Legal, and Environment (PESTLE) framework. A key finding from this framework was the absence of political barriers or enablers, which is surprising since blockchain adoption challenges the current status quo in multiple ways. Furthermore, the environmental enablers and barriers were scarcely discussed, with little empirical evidence.
{"title":"Blockchain in Supply Chain Management: A Synthesis of Barriers and Enablers for Managers","authors":"Huzaifa Kafeel, Prof Vikas Kumar, L. Duong","doi":"10.33889/ijmems.2023.8.1.002","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.002","url":null,"abstract":"Blockchain is an emerging and disruptive technology and has the potential to change how supply chains manage their information. However, Blockchain is accompanied by challenges, such as increased information technology complexity, issues of scalability, incompatibility with existing laws and regulations, and a lack of awareness among organisations and customers. This research conducts a bibliometric analysis based on a sample of 68 papers which address the barriers and enablers of blockchain adoption in supply chain management. A recurring theme in the papers was managers’ lack of understanding of Blockchain, which acted as a barrier to adoption. This study proposes a possible explanation by arguing that the academic models used in literature are too obscure from a manager’s perspective and that there is a need to synthesise literature into a framework which is easily understood and familiar. Therefore, the barriers and enablers identified in this study were grouped into the robust Political, Economic, Social, Technological, Legal, and Environment (PESTLE) framework. A key finding from this framework was the absence of political barriers or enablers, which is surprising since blockchain adoption challenges the current status quo in multiple ways. Furthermore, the environmental enablers and barriers were scarcely discussed, with little empirical evidence.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47466205","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 : 2023-02-01DOI: 10.33889/ijmems.2023.8.1.003
C. Karsten, W. Bean, Q. V. Heerden
There is a lack of dynamic facility location models for developing countries that consider the changes in the problem environment over time, such as patient population and population migration. Therefore, this paper focuses on using optimization and goal programming to locate health care facilities in an uncertain environment using multiple possible future urban development senarios. To achieve this, a robust multi-objective facility location model is developed and used to determine locations for container clinic deployment over multiple years in selected communities in South Africa. A synthetic population and urban growth simulation model are used to estimate population density and distribution from 2018 to 2030 for three development senarios. The results from the urban growth simulation model are then used as input into the facility location model to locate facilities whilst considering the three future development scenarios. Results of the model indicate that the robust model can be used to find locations that provide a relatively good solution to all considered development scenarios, providing key role players with quantitative decision support during network design under uncertainty. An accessibility analysis investigates the impact of the prescribed accessibility percentage on model results and a budget analysis evaluates the impact of a case that includes a budget constraint. From these two analyses it is illustrated that the model is sensitive to changes in parameters and that the model can be used by key stakeholders to combine network design and urban development planning for improved decision making.
{"title":"Robust Facility Location of Container Clinics: A South African Application","authors":"C. Karsten, W. Bean, Q. V. Heerden","doi":"10.33889/ijmems.2023.8.1.003","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.003","url":null,"abstract":"There is a lack of dynamic facility location models for developing countries that consider the changes in the problem environment over time, such as patient population and population migration. Therefore, this paper focuses on using optimization and goal programming to locate health care facilities in an uncertain environment using multiple possible future urban development senarios. To achieve this, a robust multi-objective facility location model is developed and used to determine locations for container clinic deployment over multiple years in selected communities in South Africa. A synthetic population and urban growth simulation model are used to estimate population density and distribution from 2018 to 2030 for three development senarios. The results from the urban growth simulation model are then used as input into the facility location model to locate facilities whilst considering the three future development scenarios. Results of the model indicate that the robust model can be used to find locations that provide a relatively good solution to all considered development scenarios, providing key role players with quantitative decision support during network design under uncertainty. An accessibility analysis investigates the impact of the prescribed accessibility percentage on model results and a budget analysis evaluates the impact of a case that includes a budget constraint. From these two analyses it is illustrated that the model is sensitive to changes in parameters and that the model can be used by key stakeholders to combine network design and urban development planning for improved decision making.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47336793","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 : 2023-01-01DOI: 10.1007/978-3-031-33087-2
T. Köppl, R. Helmig
{"title":"Dimension Reduced Modeling of Blood Flow in Large Arteries","authors":"T. Köppl, R. Helmig","doi":"10.1007/978-3-031-33087-2","DOIUrl":"https://doi.org/10.1007/978-3-031-33087-2","url":null,"abstract":"","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81824216","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 : 2023-01-01DOI: 10.1007/978-3-031-35339-0
A. Vagaská, M. Gombár, A. Panda
{"title":"Optimization Methods in Mathematical Modeling of Technological Processes","authors":"A. Vagaská, M. Gombár, A. Panda","doi":"10.1007/978-3-031-35339-0","DOIUrl":"https://doi.org/10.1007/978-3-031-35339-0","url":null,"abstract":"","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77223830","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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