Pub Date : 2022-05-13DOI: 10.1142/s0219649222400147
Guoxi Chai, Qiao Wen
In view of the longtime interactive English–Chinese translation system, an interactive English–Chinese translation system based on Griffin–Lim algorithm (GLA) is proposed. The hardware design of the system is completed by the hardware structure design, the interactive English–Chinese translation memory design and the interactive English–Chinese translation retrieval system design. Through analysing the semantic characteristics of interactive English–Chinese translation, constructing interactive English–Chinese translation database and designing interactive English–Chinese translation process, the system software design is completed and interactive English–Chinese translation is realised. The results of the system test show that the interactive English–Chinese translation system based on the GLA algorithm cannot only shorten the time of interactive English–Chinese translation, but also accelerate the response speed of the translation system, and greatly improve the overall performance of the interactive English–Chinese translation system.
{"title":"An Interactive English-Chinese Translation System Based on GLA Algorithm","authors":"Guoxi Chai, Qiao Wen","doi":"10.1142/s0219649222400147","DOIUrl":"https://doi.org/10.1142/s0219649222400147","url":null,"abstract":"In view of the longtime interactive English–Chinese translation system, an interactive English–Chinese translation system based on Griffin–Lim algorithm (GLA) is proposed. The hardware design of the system is completed by the hardware structure design, the interactive English–Chinese translation memory design and the interactive English–Chinese translation retrieval system design. Through analysing the semantic characteristics of interactive English–Chinese translation, constructing interactive English–Chinese translation database and designing interactive English–Chinese translation process, the system software design is completed and interactive English–Chinese translation is realised. The results of the system test show that the interactive English–Chinese translation system based on the GLA algorithm cannot only shorten the time of interactive English–Chinese translation, but also accelerate the response speed of the translation system, and greatly improve the overall performance of the interactive English–Chinese translation system.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114268183","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 : 2022-05-12DOI: 10.1142/s0219649222500332
Theodore J. Randles, Lisa A. Gardner, Lee Allison
The knowledge spectrum provides information about pragmatic knowledge types, which are placed on a spectrum based on their potential cognitive force. Based on the relationship between insight and Dretske’s three knowledge types, a conceptual framework for the equations is provided. These equations provide a shorthand method for determining the cognitive force of a specific pragmatic knowledge type. Together, the graphical and mathematical techniques of knowledge microanalysis, which is based on the knowledge chemistry approach, will be calibrated and refined. Two tools will be used to estimate cognitive force. These tools will enable organisations to develop models of their existing and proposed knowledge-intensive processes for analysis and refinement.
{"title":"The Cognitive Force Equations","authors":"Theodore J. Randles, Lisa A. Gardner, Lee Allison","doi":"10.1142/s0219649222500332","DOIUrl":"https://doi.org/10.1142/s0219649222500332","url":null,"abstract":"The knowledge spectrum provides information about pragmatic knowledge types, which are placed on a spectrum based on their potential cognitive force. Based on the relationship between insight and Dretske’s three knowledge types, a conceptual framework for the equations is provided. These equations provide a shorthand method for determining the cognitive force of a specific pragmatic knowledge type. Together, the graphical and mathematical techniques of knowledge microanalysis, which is based on the knowledge chemistry approach, will be calibrated and refined. Two tools will be used to estimate cognitive force. These tools will enable organisations to develop models of their existing and proposed knowledge-intensive processes for analysis and refinement.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"95 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121002151","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 : 2022-05-11DOI: 10.1142/s0219649222400056
Shahid Hussain
In the COVID-19 era, the use of social media platforms has significantly increased leading to misinformation being produced whose management is quite necessary for the domain experts, such as the Reddit social platform where people disseminate extensive information about their health issues using relevant posts and comments. The management of misinformation about COVID-19 impact on mental illness could be quite beneficial for the domain experts. In this regard, we proposed a two-step methodology which could aid domain experts to manage and group the posts and comments information with respect to COVID-19 impact on mental illness. First, we extract the information of well-known mental illnesses (such as depression, anxiety, OCD and PTSD) from the Raddit platform. Second, we leverage the capabilities of unsupervised learning algorithms and text categorisation approach to manage the information. We also proposed the evaluation model to assess the efficacy of the proposed method according to expert opinion. The experimental results indicate the efficacy of the proposed method. Moreover, we observed fuzzy c-means as an outperformed learner (with [Formula: see text]) as compared to K-means ([Formula: see text]) and Agglomerative ([Formula: see text]).
{"title":"Three-Phase Methodology to Manage the COVID-19 Information for Classification of Mental Illness","authors":"Shahid Hussain","doi":"10.1142/s0219649222400056","DOIUrl":"https://doi.org/10.1142/s0219649222400056","url":null,"abstract":"In the COVID-19 era, the use of social media platforms has significantly increased leading to misinformation being produced whose management is quite necessary for the domain experts, such as the Reddit social platform where people disseminate extensive information about their health issues using relevant posts and comments. The management of misinformation about COVID-19 impact on mental illness could be quite beneficial for the domain experts. In this regard, we proposed a two-step methodology which could aid domain experts to manage and group the posts and comments information with respect to COVID-19 impact on mental illness. First, we extract the information of well-known mental illnesses (such as depression, anxiety, OCD and PTSD) from the Raddit platform. Second, we leverage the capabilities of unsupervised learning algorithms and text categorisation approach to manage the information. We also proposed the evaluation model to assess the efficacy of the proposed method according to expert opinion. The experimental results indicate the efficacy of the proposed method. Moreover, we observed fuzzy c-means as an outperformed learner (with [Formula: see text]) as compared to K-means ([Formula: see text]) and Agglomerative ([Formula: see text]).","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"2001 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128276175","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 : 2022-05-11DOI: 10.1142/s0219649222400251
S. Porkodi, Bassam Khalil Hamdan Tabash
For an organisation, it is noteworthy to engage employees, where the organisations look to their workers’ inventiveness, activities and are proactive with the solutions for the current requirements. Achieving employees’ engagement is similar to the new Blue Ocean leadership approach (BOL) that gives an entirely new system as worker’s points of view are considered in building a new leadership profile. The key objective of this research paper is to analyse the impact of BOL on professional-level employee engagement through Kim and Mauborgne’s BOL grid four-action framework variables, particularly in the private sector. To test the developed hypothesis, the researcher applied simple linear regression and multiple regression analysis methods. The result of this research study showed that all the four-action BOL grid variables are significant in employee engagement. Further, to develop the new leadership profile, the researcher also used multiple regression analysis to conduct a detailed analysis on the impact of the BOL approach through BOL grid four-action framework variables separately. From the outcomes of the evaluation, it is accomplished that the new leadership blue ocean methodology creates a higher influence on employee engagement via the detected acts along with activities in the new BOL grid since the Create variables have extremely higher significance with 87% ([Formula: see text] and [Formula: see text]), the Eliminate variables have next-level higher significance with 84% (([Formula: see text] and [Formula: see text]), followed by the Raise variables that have the next higher importance with 72% ([Formula: see text] and [Formula: see text]) which displays the consequence of BOL grid (all four-action) variables on employee engagement. In view of impending private sectors in Oman Vision 2040, the results of this research could be an important pointer to be considered in Oman’s private sector development.
{"title":"Reforming the Activities of Leaders for Professional Level Employee Engagement: A Blue Ocean Leadership Approach","authors":"S. Porkodi, Bassam Khalil Hamdan Tabash","doi":"10.1142/s0219649222400251","DOIUrl":"https://doi.org/10.1142/s0219649222400251","url":null,"abstract":"For an organisation, it is noteworthy to engage employees, where the organisations look to their workers’ inventiveness, activities and are proactive with the solutions for the current requirements. Achieving employees’ engagement is similar to the new Blue Ocean leadership approach (BOL) that gives an entirely new system as worker’s points of view are considered in building a new leadership profile. The key objective of this research paper is to analyse the impact of BOL on professional-level employee engagement through Kim and Mauborgne’s BOL grid four-action framework variables, particularly in the private sector. To test the developed hypothesis, the researcher applied simple linear regression and multiple regression analysis methods. The result of this research study showed that all the four-action BOL grid variables are significant in employee engagement. Further, to develop the new leadership profile, the researcher also used multiple regression analysis to conduct a detailed analysis on the impact of the BOL approach through BOL grid four-action framework variables separately. From the outcomes of the evaluation, it is accomplished that the new leadership blue ocean methodology creates a higher influence on employee engagement via the detected acts along with activities in the new BOL grid since the Create variables have extremely higher significance with 87% ([Formula: see text] and [Formula: see text]), the Eliminate variables have next-level higher significance with 84% (([Formula: see text] and [Formula: see text]), followed by the Raise variables that have the next higher importance with 72% ([Formula: see text] and [Formula: see text]) which displays the consequence of BOL grid (all four-action) variables on employee engagement. In view of impending private sectors in Oman Vision 2040, the results of this research could be an important pointer to be considered in Oman’s private sector development.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130783577","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 : 2022-05-11DOI: 10.1142/s0219649222400160
B. Xiao, Weibin Liu, Xiaoli Wu, Yanyong Lan
In order to explore new approaches of training postgraduates of taught postgraduate programs, this paper proposed an analysis method to discuss the supply-side influencing factors of “vocational master of education” using the interpretative structural model (ISM). The research results showed that the quality of postgraduates, recruitment plan and the number of graduated students are the direct influencing factors of the supply side of “vocational master of education”. Teaching with practices, dissertation, postgraduate management, employment policy and the actual recruitment are the necessary influencing factors. Training program and courses, faculty, basic environment, entrance examination, program promotion, professional direction and planned enrolment are the indirect influencing factors. The strategic environment, the profession of secondary vocational schools and the demand of teachers in these schools are the fundamental influencing factors. Therefore, when studying the supply side of “vocational master of education”, we analysed top-down with specific emphasis on its hierarchy to strengthen the synergy effect of the subject.
{"title":"An Analysis Method of the Supply-side Influencing Factors of \"Vocational Master of Education\" Based on ISM","authors":"B. Xiao, Weibin Liu, Xiaoli Wu, Yanyong Lan","doi":"10.1142/s0219649222400160","DOIUrl":"https://doi.org/10.1142/s0219649222400160","url":null,"abstract":"In order to explore new approaches of training postgraduates of taught postgraduate programs, this paper proposed an analysis method to discuss the supply-side influencing factors of “vocational master of education” using the interpretative structural model (ISM). The research results showed that the quality of postgraduates, recruitment plan and the number of graduated students are the direct influencing factors of the supply side of “vocational master of education”. Teaching with practices, dissertation, postgraduate management, employment policy and the actual recruitment are the necessary influencing factors. Training program and courses, faculty, basic environment, entrance examination, program promotion, professional direction and planned enrolment are the indirect influencing factors. The strategic environment, the profession of secondary vocational schools and the demand of teachers in these schools are the fundamental influencing factors. Therefore, when studying the supply side of “vocational master of education”, we analysed top-down with specific emphasis on its hierarchy to strengthen the synergy effect of the subject.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121170490","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 : 2022-05-11DOI: 10.1142/s0219649222400263
Kritika Gosain, M. Rajendran
The present study aims to evaluate a conceptualised learning design for the growth of techno-pedagogic competencies among Pre-Service Teachers (PST). A teaching experiment is conducted for assessing the effectiveness of the conceptualised learning design by implementing it in a two-year teacher training programme for one year on 36 PST. The progress in the techno-pedagogic competencies’ growth is measured through the self-reporting rating scale, assessment of lesson activities prepared by the PST and semi-structured interview. The result of repeated measure ANOVA statistically signifies the growth of techno-pedagogic competencies amongst PST who participated in the teaching experiment. The assessment of lesson activities further illustrated the growth of techno-pedagogic competencies. PST also reported that they have learned new ways of integrating technology into teaching and have become a more confident user of computers.
{"title":"Evaluation of a Conceptualised Learning Design for the Development of Techno-Pedagogic Competencies among Pre-Service Teachers","authors":"Kritika Gosain, M. Rajendran","doi":"10.1142/s0219649222400263","DOIUrl":"https://doi.org/10.1142/s0219649222400263","url":null,"abstract":"The present study aims to evaluate a conceptualised learning design for the growth of techno-pedagogic competencies among Pre-Service Teachers (PST). A teaching experiment is conducted for assessing the effectiveness of the conceptualised learning design by implementing it in a two-year teacher training programme for one year on 36 PST. The progress in the techno-pedagogic competencies’ growth is measured through the self-reporting rating scale, assessment of lesson activities prepared by the PST and semi-structured interview. The result of repeated measure ANOVA statistically signifies the growth of techno-pedagogic competencies amongst PST who participated in the teaching experiment. The assessment of lesson activities further illustrated the growth of techno-pedagogic competencies. PST also reported that they have learned new ways of integrating technology into teaching and have become a more confident user of computers.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130390094","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 : 2022-05-07DOI: 10.1142/s0219649222500277
N. Sailaja, L. P. Sree, N. Mangathayaru
Automated text mining is an especially important task in modern data analysis, both from theoretical and experimental points of view. This particular problem has a major interest in the digital age that is related to “Artificial Intelligence, Machine learning and Information Retrieval”. Feature selection and classification of high dimensionality of text data are challenging tasks. In this paper, we adopted an optimal method for dealing with high dimensionality of data. Later, we chose an appropriate strategy (learning algorithm) for an effcient model training. Our empirical evaluation and experimental analysis show that the proposed method performs better compared with other variable selection-based dimension reduction and further text categorisation methods. We exploited several systematic and careful experimentation scenarios in this work to discover what architecture works best for this BBC news dataset. We used 3 hidden layers, each layer with 128 neurons. We observed this architecture optimal as per our specific problem experimentation. Moreover, our proposed method can be useful for improving efficiency and speed-up the calculations on certain datasets.
{"title":"Statistically Empirical Integrated Approach for Knowledge Refined Text Classification","authors":"N. Sailaja, L. P. Sree, N. Mangathayaru","doi":"10.1142/s0219649222500277","DOIUrl":"https://doi.org/10.1142/s0219649222500277","url":null,"abstract":"Automated text mining is an especially important task in modern data analysis, both from theoretical and experimental points of view. This particular problem has a major interest in the digital age that is related to “Artificial Intelligence, Machine learning and Information Retrieval”. Feature selection and classification of high dimensionality of text data are challenging tasks. In this paper, we adopted an optimal method for dealing with high dimensionality of data. Later, we chose an appropriate strategy (learning algorithm) for an effcient model training. Our empirical evaluation and experimental analysis show that the proposed method performs better compared with other variable selection-based dimension reduction and further text categorisation methods. We exploited several systematic and careful experimentation scenarios in this work to discover what architecture works best for this BBC news dataset. We used 3 hidden layers, each layer with 128 neurons. We observed this architecture optimal as per our specific problem experimentation. Moreover, our proposed method can be useful for improving efficiency and speed-up the calculations on certain datasets.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133961201","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 : 2022-05-05DOI: 10.1142/s0219649222400172
Ya-Ping Huang
In the application of the existing distance education platform, the server load is often unbalanced, which increases the response time of the platform. This paper designs a personalised English distance teaching platform based on artificial intelligence. Put forward the overall architecture of the platform, and design the platform on this basis. In order to realise the personalised course resource recommendation function, a collaborative filtering personalised recommendation algorithm is designed to get the best course recommendation results. Using artificial intelligence technology to set up multipoint control unit, the task balance is allocated to multiple operation units, and the reasonable allocation of curriculum resources is realised. According to the functional requirements of the platform design, the composition of functional modules is further set to realise the scheduling and management of curriculum resources. The experimental results show that, under the condition of the same number of concurrent users, the average response time of this design platform is less than that of the existing distance teaching platform, which shows that it has certain advantages in server load balancing and resource scheduling, which can improve the rapid response ability of the platform and enhance the stability of the platform.
{"title":"Design of Personalised English Distance Teaching Platform Based on Artificial Intelligence","authors":"Ya-Ping Huang","doi":"10.1142/s0219649222400172","DOIUrl":"https://doi.org/10.1142/s0219649222400172","url":null,"abstract":"In the application of the existing distance education platform, the server load is often unbalanced, which increases the response time of the platform. This paper designs a personalised English distance teaching platform based on artificial intelligence. Put forward the overall architecture of the platform, and design the platform on this basis. In order to realise the personalised course resource recommendation function, a collaborative filtering personalised recommendation algorithm is designed to get the best course recommendation results. Using artificial intelligence technology to set up multipoint control unit, the task balance is allocated to multiple operation units, and the reasonable allocation of curriculum resources is realised. According to the functional requirements of the platform design, the composition of functional modules is further set to realise the scheduling and management of curriculum resources. The experimental results show that, under the condition of the same number of concurrent users, the average response time of this design platform is less than that of the existing distance teaching platform, which shows that it has certain advantages in server load balancing and resource scheduling, which can improve the rapid response ability of the platform and enhance the stability of the platform.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131761653","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 : 2022-05-05DOI: 10.1142/s0219649222500289
Sruthy Manmadhan, Binsu C. Kovoor
Visual Question Answering (VQA) is a multi-modal AI-complete task of answering natural language questions about images. Literature solved VQA with a three-phase pipeline: image and question featurisation, multi-modal feature fusion and answer generation or prediction. Most of the works have given attention to the second phase, where multi-modal features get combined ignoring the effect of individual input features. This work investigates VQA’s natural language question embedding phase by proposing a new question featurisation framework based on Supervised Term Weighting (STW) schemes. In addition, two new STW schemes integrating text semantics, qf.cos and tf.rf.sim, have been introduced to boost the framework’s performance. A series of tests on the DAQUAR VQA dataset is used to compare the new system to conventional pre-trained word embedding. Over the past few years, STW schemes have been commonly used in text classification research. In light of this, tests are carried out to verify the effectiveness of the two newly proposed STW schemes in the general text classification task.
{"title":"An Enhanced Term Weighted Question Embedding for Visual Question Answering","authors":"Sruthy Manmadhan, Binsu C. Kovoor","doi":"10.1142/s0219649222500289","DOIUrl":"https://doi.org/10.1142/s0219649222500289","url":null,"abstract":"Visual Question Answering (VQA) is a multi-modal AI-complete task of answering natural language questions about images. Literature solved VQA with a three-phase pipeline: image and question featurisation, multi-modal feature fusion and answer generation or prediction. Most of the works have given attention to the second phase, where multi-modal features get combined ignoring the effect of individual input features. This work investigates VQA’s natural language question embedding phase by proposing a new question featurisation framework based on Supervised Term Weighting (STW) schemes. In addition, two new STW schemes integrating text semantics, qf.cos and tf.rf.sim, have been introduced to boost the framework’s performance. A series of tests on the DAQUAR VQA dataset is used to compare the new system to conventional pre-trained word embedding. Over the past few years, STW schemes have been commonly used in text classification research. In light of this, tests are carried out to verify the effectiveness of the two newly proposed STW schemes in the general text classification task.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472635","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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