Bukhary Ikhwan Ismail, Muhammad Nurmahir Mohamad Sehmi, Hishamadie Ahmad, Shahrol Hisham Baharom, Mohammad Fairus Khalid
Automation in agriculture has vast potential to enhance productivity in the industry. Incorporating agricultural robotics can significantly improve work efficiency, enhance product quality, reduce expenses, and minimize manual labor. Despite significant advancements in robotic and sensing technologies, their practical implementation in agriculture, particularly in the palm oil sector, remains limited primarily to laboratories and spin-off companies. The utilization of robots in the palm oil complex agricultural environment presents more significant challenges than conventional flat agricultural landscapes, primarily due to the unstructured nature of agricultural settings. Complex coordination is required to address the need for collaboration with human workers, establish long-distance communication networks, and enable autonomous navigation in areas far from power sources. This article explores the various environmental challenges in oil palm plantation estates and in-field operations and proposes a robot built from an all-terrain vehicle into an agricultural robot.
{"title":"Robotic Research Platform for Agricultural Environment","authors":"Bukhary Ikhwan Ismail, Muhammad Nurmahir Mohamad Sehmi, Hishamadie Ahmad, Shahrol Hisham Baharom, Mohammad Fairus Khalid","doi":"10.4018/jcit.328579","DOIUrl":"https://doi.org/10.4018/jcit.328579","url":null,"abstract":"Automation in agriculture has vast potential to enhance productivity in the industry. Incorporating agricultural robotics can significantly improve work efficiency, enhance product quality, reduce expenses, and minimize manual labor. Despite significant advancements in robotic and sensing technologies, their practical implementation in agriculture, particularly in the palm oil sector, remains limited primarily to laboratories and spin-off companies. The utilization of robots in the palm oil complex agricultural environment presents more significant challenges than conventional flat agricultural landscapes, primarily due to the unstructured nature of agricultural settings. Complex coordination is required to address the need for collaboration with human workers, establish long-distance communication networks, and enable autonomous navigation in areas far from power sources. This article explores the various environmental challenges in oil palm plantation estates and in-field operations and proposes a robot built from an all-terrain vehicle into an agricultural robot.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44501696","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}
Muktar Abdella Jiru, Ketema Adere, T. Gopi Krishna, J. R. Perumalla
The present work proposed an improved switch migration method (ISMM) for balancing the controller load to migrate the switch from overloaded to under-loaded controller. This method is used on each controller during controller load balance in order to decide the state of controllers. The implementation was conducted using the Mininet simulation tool. The performance of the proposed solution has been evaluated by using throughput, response time, and packet loss metrics. Accordingly, the simulation results indicated that this method has improved throughput by 7.6% over SSMS and 1.8% over CAMD, improved response time 8.3% over SSMS and 4% over CAMD, and improved the packet loss 8% over SSMS and 1.3% over CAMD during the incoming traffic load between 501p/s and 5000p/s. Thus, the performance of ISMM has shown efficient results over SSMS and CAMD among all assessed metrics by balancing the load between controllers.
{"title":"An Improved Switch Migration Method-Based Efficient Load Balancing for Multiple Controllers in Software-Defined Networks","authors":"Muktar Abdella Jiru, Ketema Adere, T. Gopi Krishna, J. R. Perumalla","doi":"10.4018/jcit.326136","DOIUrl":"https://doi.org/10.4018/jcit.326136","url":null,"abstract":"The present work proposed an improved switch migration method (ISMM) for balancing the controller load to migrate the switch from overloaded to under-loaded controller. This method is used on each controller during controller load balance in order to decide the state of controllers. The implementation was conducted using the Mininet simulation tool. The performance of the proposed solution has been evaluated by using throughput, response time, and packet loss metrics. Accordingly, the simulation results indicated that this method has improved throughput by 7.6% over SSMS and 1.8% over CAMD, improved response time 8.3% over SSMS and 4% over CAMD, and improved the packet loss 8% over SSMS and 1.3% over CAMD during the incoming traffic load between 501p/s and 5000p/s. Thus, the performance of ISMM has shown efficient results over SSMS and CAMD among all assessed metrics by balancing the load between controllers.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47168106","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}
As governments, education departments, and academic accreditation bodies have begun to encourage schools to develop evidence-based decision-making and innovation systems, learning analysis techniques have shown great advantages in decision-making aid and teaching evaluation. After integrating relevant algorithms and technologies in artificial intelligence and machine learning, learning analysis has achieved higher analysis accuracy. In order to realize the recognition of students' classroom behaviors such as standing up, sitting up, and raising hands and improve the recognition accuracy and recall rate, multi-modal data such as human key point information and RGB images are used for experiments. To further improve the feature extraction capability of the model, features are extracted from the improved ResNet-50 and EfficientNet-B0 models, and bilinear fusion is performed to further improve the recognition accuracy of the models.
{"title":"Novel Bilinear Fusion Network Based on Multimodal Data for Student Distracted Behavior Recognition","authors":"Jian Zhang","doi":"10.4018/jcit.326131","DOIUrl":"https://doi.org/10.4018/jcit.326131","url":null,"abstract":"As governments, education departments, and academic accreditation bodies have begun to encourage schools to develop evidence-based decision-making and innovation systems, learning analysis techniques have shown great advantages in decision-making aid and teaching evaluation. After integrating relevant algorithms and technologies in artificial intelligence and machine learning, learning analysis has achieved higher analysis accuracy. In order to realize the recognition of students' classroom behaviors such as standing up, sitting up, and raising hands and improve the recognition accuracy and recall rate, multi-modal data such as human key point information and RGB images are used for experiments. To further improve the feature extraction capability of the model, features are extracted from the improved ResNet-50 and EfficientNet-B0 models, and bilinear fusion is performed to further improve the recognition accuracy of the models.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46479638","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}
Huimin Ma, Wenyang Cao, Xin Cheng, Chong Wang, K. Wang
The literature emphasizes the crucial role of state-owned enterprises (SOEs) in fostering economic growth and addressing public demands. However, ensuring the sustainable development of SOEs requires further research to investigate sustainable project management with a focus on value creation. Accordingly, the authors conducted a case study of a prominent real estate SOE in China to examine how SOEs can alter their project management practices and achieve a more sustainable business model. The findings reveal that adopting a whole life-cycle management system can promote value refinement, optimization, and co-creation, enabling SOEs to achieve value creation through sustainable management. This study offers useful insights for policymakers and business executives in China and contributes to the literature on sustainable project management and value creation.
{"title":"Value Creation and Sustainable Project Management","authors":"Huimin Ma, Wenyang Cao, Xin Cheng, Chong Wang, K. Wang","doi":"10.4018/jcit.324762","DOIUrl":"https://doi.org/10.4018/jcit.324762","url":null,"abstract":"The literature emphasizes the crucial role of state-owned enterprises (SOEs) in fostering economic growth and addressing public demands. However, ensuring the sustainable development of SOEs requires further research to investigate sustainable project management with a focus on value creation. Accordingly, the authors conducted a case study of a prominent real estate SOE in China to examine how SOEs can alter their project management practices and achieve a more sustainable business model. The findings reveal that adopting a whole life-cycle management system can promote value refinement, optimization, and co-creation, enabling SOEs to achieve value creation through sustainable management. This study offers useful insights for policymakers and business executives in China and contributes to the literature on sustainable project management and value creation.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42691722","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}
Aiming at the problem that most existing models of art sentiment analysis only consider text encoding from the word level, this paper proposes a novel long and short-term memory network-based krill herd algorithm for explainable art sentiment analysis in interior decoration environment. Firstly, multi-scale convolution is used to capture local correlation of different granularity, so as to obtain more semantic information of different levels and form richer text representation. Then, a gating mechanism is introduced to control the path of sentiment information flowing to the aggregation layer. An improved krill swarm algorithm based on cosine control factor and Cauchy factor is proposed to solve the model. Finally, the full connection layer and argmax function are used to achieve sentiment classification. The experimental results show that compared with other advanced models, the proposed model can improve the accuracy of emotion classification by 2.3% and 0.8% respectively on two public data sets of IMDB and Yelp2014, and obtain the minimum root mean square error (RMSE).
{"title":"A Novel Long and Short-Term Memory Network-Based Krill Herd Algorithm for Explainable Art Sentiment Analysis in Interior Decoration Environment","authors":"Zhiqiang Gao","doi":"10.4018/jcit.324602","DOIUrl":"https://doi.org/10.4018/jcit.324602","url":null,"abstract":"Aiming at the problem that most existing models of art sentiment analysis only consider text encoding from the word level, this paper proposes a novel long and short-term memory network-based krill herd algorithm for explainable art sentiment analysis in interior decoration environment. Firstly, multi-scale convolution is used to capture local correlation of different granularity, so as to obtain more semantic information of different levels and form richer text representation. Then, a gating mechanism is introduced to control the path of sentiment information flowing to the aggregation layer. An improved krill swarm algorithm based on cosine control factor and Cauchy factor is proposed to solve the model. Finally, the full connection layer and argmax function are used to achieve sentiment classification. The experimental results show that compared with other advanced models, the proposed model can improve the accuracy of emotion classification by 2.3% and 0.8% respectively on two public data sets of IMDB and Yelp2014, and obtain the minimum root mean square error (RMSE).","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47268168","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}
H. Nguyen, D. Truong, Sang Vu, Diem Nguyen, Hung Nguyen, Nha Thanh Tran
E-learning is an online educational system that uses electronic and technology tools and the internet. To facilitate the acquisition of knowledge, students can consult materials and interact directly with lecturers via e-learning educational systems. The method for developing an intelligent querying system for e-learning is suggested in this research. The knowledge base of the system is structured using the knowledge model combining an ontology and the two-layer knowledge graph, called Rela-KG model. The searching problems for knowledge content are studied and solved. The technique is applied to create an intelligent querying system on the course of Database Foundation in Information Technology (IT) at the university. This technique attempts to assist students in reviewing lectures and better comprehending course material through independent study. The experimental results indicate that it would be anticipated to support student access to online learning resources.
{"title":"Knowledge Management for Information Querying System in Education via the Combination of Rela-Ops Model and Knowledge Graph","authors":"H. Nguyen, D. Truong, Sang Vu, Diem Nguyen, Hung Nguyen, Nha Thanh Tran","doi":"10.4018/jcit.324113","DOIUrl":"https://doi.org/10.4018/jcit.324113","url":null,"abstract":"E-learning is an online educational system that uses electronic and technology tools and the internet. To facilitate the acquisition of knowledge, students can consult materials and interact directly with lecturers via e-learning educational systems. The method for developing an intelligent querying system for e-learning is suggested in this research. The knowledge base of the system is structured using the knowledge model combining an ontology and the two-layer knowledge graph, called Rela-KG model. The searching problems for knowledge content are studied and solved. The technique is applied to create an intelligent querying system on the course of Database Foundation in Information Technology (IT) at the university. This technique attempts to assist students in reviewing lectures and better comprehending course material through independent study. The experimental results indicate that it would be anticipated to support student access to online learning resources.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44141268","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}
Due to the differences of students' English proficiency and the rapid changes in reading interests, online personalized English reading recommendation is a highly challenging problem. Although some works have been proposed to address the dynamic change of recommendation, there are two issues with these methods. First, it only considers whether students have read the recommended articles. Second, these methods often fail to capture the real-time changing interests of users. To address the above challenges, a deep Q-network based recommendation framework was proposed. The authors further use the user's behavior and scores as reward information to get more user's feedback. In addition, a personalized adaptive module was introduced to capture the short-term interests on the fly and utilized the consistent loss of KL divergence to distill the knowledge from the online model. Extensive experiments on the offline and online dataset in the IWiLL website demonstrate the superior performance of the method.
{"title":"Behavior-Aware English Reading Article Recommendation System Using Online Distilled Deep Q-Learning","authors":"Ting Zheng, Min Ding","doi":"10.4018/jcit.324102","DOIUrl":"https://doi.org/10.4018/jcit.324102","url":null,"abstract":"Due to the differences of students' English proficiency and the rapid changes in reading interests, online personalized English reading recommendation is a highly challenging problem. Although some works have been proposed to address the dynamic change of recommendation, there are two issues with these methods. First, it only considers whether students have read the recommended articles. Second, these methods often fail to capture the real-time changing interests of users. To address the above challenges, a deep Q-network based recommendation framework was proposed. The authors further use the user's behavior and scores as reward information to get more user's feedback. In addition, a personalized adaptive module was introduced to capture the short-term interests on the fly and utilized the consistent loss of KL divergence to distill the knowledge from the online model. Extensive experiments on the offline and online dataset in the IWiLL website demonstrate the superior performance of the method.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44609704","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}
Mahayaudin M. Mansor, N. Ibrahim, Siti Afiqah Muhamad Jamil, Nur Amalina binti Shafie, Siti Meriam Zahari
This paper aims to visualise three financial distress outlooks using computer simulations. The financial distress exposure for airport operations in Malaysia between 1991 and 2021 is given by Altman Z”-score and modelled by the multivariate generalized linear model (MGLM). Seven determinants contributing to the financial distress from literature are examined. The determinant series are fitted individually by using linear model with time series components and autoregressive integrated moving average models to forecast values for the next 10 financial years. Future short- to long-term memory effects following COVID-19 are apparent in time series plots. In the simulations, the MGLM procedure utilised Gaussian, gamma, and Cauchy probability distributions associated with expectations and challenges of doing business as well as uncertainties in the economy. The underlying trends of realistic, optimistic, and pessimistic financial distress outlooks insinuate that the increasing risk of financial distress of airport operations in Malaysia is expected to continue for the next decade.
{"title":"Visualising the Optimistic, Realistic, and Pessimistic Financial Distress Outlooks for Airport Operations in Malaysia","authors":"Mahayaudin M. Mansor, N. Ibrahim, Siti Afiqah Muhamad Jamil, Nur Amalina binti Shafie, Siti Meriam Zahari","doi":"10.4018/jcit.324103","DOIUrl":"https://doi.org/10.4018/jcit.324103","url":null,"abstract":"This paper aims to visualise three financial distress outlooks using computer simulations. The financial distress exposure for airport operations in Malaysia between 1991 and 2021 is given by Altman Z”-score and modelled by the multivariate generalized linear model (MGLM). Seven determinants contributing to the financial distress from literature are examined. The determinant series are fitted individually by using linear model with time series components and autoregressive integrated moving average models to forecast values for the next 10 financial years. Future short- to long-term memory effects following COVID-19 are apparent in time series plots. In the simulations, the MGLM procedure utilised Gaussian, gamma, and Cauchy probability distributions associated with expectations and challenges of doing business as well as uncertainties in the economy. The underlying trends of realistic, optimistic, and pessimistic financial distress outlooks insinuate that the increasing risk of financial distress of airport operations in Malaysia is expected to continue for the next decade.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43639113","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}
Najwa Ayuni Jamaludin, Farhan Mohamed, Vei Siang Chan, M. S. Sunar, Ali Selamat, O. Krejcar, Andrés Iglesias
Immersive analytics (IA) is a fast-growing research field that concerns improving and facilitating human sense making and data understanding through an immersive experience. Understanding the suitable application scenario that will benefit from IA enables a shift towards developing effective and meaningful applications. This paper aims to explore tasks and scenarios that can benefit from IA by conducting a systematic review of existing studies and mapping them according to the multi-level typology for abstract visualization tasks, which is also known as the what-why-how framework. The study synthesizes several works to answer the why within the context of multiple levels of specificity. In addition, this study also explores the application domains and IA guiding scenarios to address when scenarios best integrate with IA. Then, the paper discusses the IA evaluation types and research methods to evaluate an IA application that can promote effective user engagement in IA. Finally, the limitations and potential future works are discussed.
{"title":"Answering Why and When?","authors":"Najwa Ayuni Jamaludin, Farhan Mohamed, Vei Siang Chan, M. S. Sunar, Ali Selamat, O. Krejcar, Andrés Iglesias","doi":"10.4018/jcit.323799","DOIUrl":"https://doi.org/10.4018/jcit.323799","url":null,"abstract":"Immersive analytics (IA) is a fast-growing research field that concerns improving and facilitating human sense making and data understanding through an immersive experience. Understanding the suitable application scenario that will benefit from IA enables a shift towards developing effective and meaningful applications. This paper aims to explore tasks and scenarios that can benefit from IA by conducting a systematic review of existing studies and mapping them according to the multi-level typology for abstract visualization tasks, which is also known as the what-why-how framework. The study synthesizes several works to answer the why within the context of multiple levels of specificity. In addition, this study also explores the application domains and IA guiding scenarios to address when scenarios best integrate with IA. Then, the paper discusses the IA evaluation types and research methods to evaluate an IA application that can promote effective user engagement in IA. Finally, the limitations and potential future works are discussed.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49229634","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}
Dara Vijaya Lakshmi, Saradha M., R. Karthik, Sandeep Kumar M., J. Babu, Lucia Vilčeková
The proposed explorative study utilizes the partial least squares-structural equation modeling (PLS-SEM) for the testing of the auxiliary relationship lies in the factors focusing on the respondent's pioneering aim. This study examines student's learning desire in entrepreneurship, the value addition on student, impact on the student career path from employment to ownership, the impact on society, and the state-of-the-art practices for training thereby getting the suitable aptitudes and related information. This assists the communities to change their focus from employment to entrepreneurship. Hence, creating enterprises encompassing personality enrichment and better insights through training will promote significant benefits to the growing society.
{"title":"Parameters Describing Student Learning Environments Through Experiential Learning Technologies for Entrepreneurial Creativity","authors":"Dara Vijaya Lakshmi, Saradha M., R. Karthik, Sandeep Kumar M., J. Babu, Lucia Vilčeková","doi":"10.4018/jcit.323184","DOIUrl":"https://doi.org/10.4018/jcit.323184","url":null,"abstract":"The proposed explorative study utilizes the partial least squares-structural equation modeling (PLS-SEM) for the testing of the auxiliary relationship lies in the factors focusing on the respondent's pioneering aim. This study examines student's learning desire in entrepreneurship, the value addition on student, impact on the student career path from employment to ownership, the impact on society, and the state-of-the-art practices for training thereby getting the suitable aptitudes and related information. This assists the communities to change their focus from employment to entrepreneurship. Hence, creating enterprises encompassing personality enrichment and better insights through training will promote significant benefits to the growing society.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48652075","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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