Igor Pihir, Katarina Tomičić-Pupek, Martina Tomicic Furjan
Digital transformation (DT) introduces strategy-oriented and customer-centric changes, based on innovative usage of emerging information and communication technology (ICT), to implement improved or new processes in modern organizations. This paper provides insights into academic publishing trends and offers an analysis of scientific fields in which researches were made followed by a brief analysis of the most influential articles. Paper also identifies and discusses key determinants and influence factors of DT and some emerging trends and technologies, in order to explain organizational and technological context of DT. For better understanding of this mix of business and ICT related concepts, a framework of concepts on DT was developed and called Digital transformation playground (DTP). Its purpose is to get better understanding of what are the mainstream concepts of today, what other and emerging ICT or digitalization concepts in the context of DT arise, and how these technology elements impact business related concepts.
{"title":"Digital transformation playground","authors":"Igor Pihir, Katarina Tomičić-Pupek, Martina Tomicic Furjan","doi":"10.31341/JIOS.43.1.3","DOIUrl":"https://doi.org/10.31341/JIOS.43.1.3","url":null,"abstract":"Digital transformation (DT) introduces strategy-oriented and customer-centric changes, based on innovative usage of emerging information and communication technology (ICT), to implement improved or new processes in modern organizations. This paper provides insights into academic publishing trends and offers an analysis of scientific fields in which researches were made followed by a brief analysis of the most influential articles. Paper also identifies and discusses key determinants and influence factors of DT and some emerging trends and technologies, in order to explain organizational and technological context of DT. For better understanding of this mix of business and ICT related concepts, a framework of concepts on DT was developed and called Digital transformation playground (DTP). Its purpose is to get better understanding of what are the mainstream concepts of today, what other and emerging ICT or digitalization concepts in the context of DT arise, and how these technology elements impact business related concepts.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.43.1.3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47201462","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}
The purpose of this paper is to analyze the existing Croatian research information infrastructure and to outline a new model of the Croatian Current Research Information System (CroRIS), required for the systematical monitoring and evaluation of the research processes and output of the Croatian public research and higher education institutions, as well as for the increasing of their international visibility. Based on the results of the analysis of the existing research information infrastructure in Croatia, the general outline of the new CERIF-based CroRIS model is proposed. The analysis of the existing research information infrastructure showed that there are some functional parts which could be reused and/or used as a basis for the implementation of the proposed CroRIS model. The proposed model represents a concept which would allow a quality decision and science-policy making in Croatia.
{"title":"The current state and future perspectives of the research information infrastructure in Croatia","authors":"B. Macan, J. Petrak","doi":"10.31341/JIOS.43.1.2","DOIUrl":"https://doi.org/10.31341/JIOS.43.1.2","url":null,"abstract":"The purpose of this paper is to analyze the existing Croatian research information infrastructure and to outline a new model of the Croatian Current Research Information System (CroRIS), required for the systematical monitoring and evaluation of the research processes and output of the Croatian public research and higher education institutions, as well as for the increasing of their international visibility. Based on the results of the analysis of the existing research information infrastructure in Croatia, the general outline of the new CERIF-based CroRIS model is proposed. The analysis of the existing research information infrastructure showed that there are some functional parts which could be reused and/or used as a basis for the implementation of the proposed CroRIS model. The proposed model represents a concept which would allow a quality decision and science-policy making in Croatia.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43789556","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}
Simona Sternad Zabukovšek, R. Picek, S. Bobek, Irena Šišovska Klančnik, P. Tominc
Enterprise Resource Planning (ERP) solutions are the most frequently used software tool in companies in all industries. Therefore, the labour market requires the knowledge and skills for usage of ERP solutions from graduates – future employees. The main objective of our paper is therefore the identification of important factors that contribute to the acceptance of ERP solutions by students in economics and business and that shape their intentions to use this knowledge in the future. The model of our research is based on the Technology Acceptance Model (TAM), extended by identified important multidimensional external factors that refer to (1) students’ personal characteristics and information literacy, (2) perceived system and technological characteristics of ERP solutions and (3) perceived support within the study process. Research results revealed that several dimensions of the three multidimensonal factors play an important role in shaping the attitudes towards acceptance of ERP solutions by students.
{"title":"Technology acceptance model based study of students’ attitudes toward use of enterprise resource planning solutions","authors":"Simona Sternad Zabukovšek, R. Picek, S. Bobek, Irena Šišovska Klančnik, P. Tominc","doi":"10.31341/JIOS.43.1.4","DOIUrl":"https://doi.org/10.31341/JIOS.43.1.4","url":null,"abstract":"Enterprise Resource Planning (ERP) solutions are the most frequently\u0000used software tool in companies in all industries. Therefore, the labour market\u0000requires the knowledge and skills for usage of ERP solutions from graduates –\u0000future employees. The main objective of our paper is therefore the\u0000identification of important factors that contribute to the acceptance of ERP\u0000solutions by students in economics and business and that shape their intentions\u0000to use this knowledge in the future. The model of our research is based on the\u0000Technology Acceptance Model (TAM), extended by identified important\u0000multidimensional external factors that refer to (1) students’ personal\u0000characteristics and information literacy, (2) perceived system and\u0000technological characteristics of ERP solutions and (3) perceived support within\u0000the study process. Research results revealed that several dimensions of the\u0000three multidimensonal factors play an important role in shaping the attitudes\u0000towards acceptance of ERP solutions by students.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.43.1.4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44259690","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}
At the present time heart disease is a major cause of death. Factors such as physical inactiveness, obesity, diabetes, social isolation and aging are expected to make the situation worse. It is worsened even further with misdiagnosis of patients describing heart related issues. A probability decision support approach to diagnosis of heart disease based on Naive Bayes is discussed here as most hospitals collect patient records but these are rarely used for automatic decision support. The approach is analyzed on Statlog heart data with the focus on improving preprocessing methods. As the result, a discretization algorithm with Equal Frequency Discretization which considers the specifics of engaged heart disease patients is presented. Enhancements of achieved accuracy with the added discretization and in comparison with other machine learning algorithms are shown in experiments founded on 10-fold cross-validation.
{"title":"Discretization for Naive Bayes taking the specifics of heart data into account","authors":"J. Bohacik, M. Zábovský","doi":"10.31341/JIOS.43.1.1","DOIUrl":"https://doi.org/10.31341/JIOS.43.1.1","url":null,"abstract":"At the present time heart disease is a major cause of death. Factors such as physical inactiveness, obesity, diabetes, social isolation and aging are expected to make the situation worse. It is worsened even further with misdiagnosis of patients describing heart related issues. A probability decision support approach to diagnosis of heart disease based on Naive Bayes is discussed here as most hospitals collect patient records but these are rarely used for automatic decision support. The approach is analyzed on Statlog heart data with the focus on improving preprocessing methods. As the result, a discretization algorithm with Equal Frequency Discretization which considers the specifics of engaged heart disease patients is presented. Enhancements of achieved accuracy with the added discretization and in comparison with other machine learning algorithms are shown in experiments founded on 10-fold cross-validation.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43334173","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}
The key concept of information science is the concept of information which is tied to a number of complications. The main problem is that there is no definition of this concept. The purpose of this article is an analysis of the concept of information from the position of classical logic. The main method of the article is a conceptual analysis. First, we briefly deal with the overview of the concepts of information, with concepts and their definition as such and with the scope of the concept of information. Then, we provide an analysis of 31 important definitions of the concept of information which were developed within the scope of information science and related fields, and we consider relations between the concept of information and the concepts in other disciplines. Conceptual analysis of the concept of information leads to the conclusion that information is probably a concept that somehow addresses the entire reality, thus that it is a term, which is in the classical logic described as transcendental. This fact, in the view of the fact that information science is a special field, seems to be a serious methodological problem. Problems associated with the broadness of the concept of information have three possible solutions: transformation of information science into the universal science, narrowing the concept of information to a special term, or replacement of the concept of information by a different one. At the end of the article, we briefly point out our solution to the problem.
{"title":"The scope of the concept of information and the future of information science","authors":"J. Stodola","doi":"10.31341/JIOS.43.1.5","DOIUrl":"https://doi.org/10.31341/JIOS.43.1.5","url":null,"abstract":"The key concept of information\u0000science is the concept of information which is tied to a number of\u0000complications. The main problem is that there is no definition of this concept.\u0000The purpose of this article is an analysis of the concept of information from\u0000the position of classical logic. The main method of the article is a conceptual\u0000analysis. First, we briefly deal with the overview of the concepts of information,\u0000with concepts and their definition as such and with the scope of the concept of\u0000information. Then, we provide an analysis of 31 important definitions of the\u0000concept of information which were developed within the scope of information\u0000science and related fields, and we consider relations between the concept of\u0000information and the concepts in other disciplines. Conceptual analysis of the\u0000concept of information leads to the conclusion that information is probably a\u0000concept that somehow addresses the entire reality, thus that it is a term,\u0000which is in the classical logic described as transcendental. This fact, in the\u0000view of the fact that information science is a special field, seems to be a\u0000serious methodological problem. Problems associated with the broadness of the\u0000concept of information have three possible solutions: transformation of\u0000information science into the universal science, narrowing the concept of\u0000information to a special term, or replacement of the concept of information by\u0000a different one. At the end of the article, we briefly point out our solution\u0000to the problem.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.43.1.5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41928191","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}
"Young measure" is an abstract notion from mathematical measure theory. Originally, the notion appeared in the context of some variational problems related to the analysis of sequences of “fast” oscillating of functions. From the formal point of view the Young measure may be treated as a continuous linear functional defined on the space of Carathéodory integrands satisfying certain regularity conditions. Calculating an explicit form of specific Young measure is a very important task. However, from a strictly mathematical standpoint it is a very difficult problem not solved as yet in general. Even more difficult would be the problem of calculating Lebasque’s integrals with respect to such measures. Based on known formal results it can be done only in the most simple cases. On the other hand in many real-world applications it would be enough to learn only some of the most important probabilistic characteristics of the Young distribution or learn only approximate values of the appropriate integrals. In such a case a possible solution is to adopt Monte Carlo techniques. In the presentation we propose three different algorithms designed for simulating random variables distributed according to the Young measures associated with piecewise functions. Next with the help of computer simulations we compare their statistical performance via some benchmarking problems. In this study we focus on the accurateness of the distribution of the generated sample.
{"title":"On Simulation of the Young Measures","authors":"A. Grzybowski, P. Puchała","doi":"10.31341/JIOS.41.2.3","DOIUrl":"https://doi.org/10.31341/JIOS.41.2.3","url":null,"abstract":"\"Young measure\" is an abstract notion from mathematical measure theory. Originally, the notion appeared in the context of some variational problems related to the analysis of sequences of “fast” oscillating of functions. From the formal point of view the Young measure may be treated as a continuous linear functional defined on the space of Carathéodory integrands satisfying certain regularity conditions. Calculating an explicit form of specific Young measure is a very important task. However, from a strictly mathematical standpoint it is a very difficult problem not solved as yet in general. Even more difficult would be the problem of calculating Lebasque’s integrals with respect to such measures. Based on known formal results it can be done only in the most simple cases. On the other hand in many real-world applications it would be enough to learn only some of the most important probabilistic characteristics of the Young distribution or learn only approximate values of the appropriate integrals. In such a case a possible solution is to adopt Monte Carlo techniques. In the presentation we propose three different algorithms designed for simulating random variables distributed according to the Young measures associated with piecewise functions. Next with the help of computer simulations we compare their statistical performance via some benchmarking problems. In this study we focus on the accurateness of the distribution of the generated sample.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46827066","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}
Proactive-reactive scheduling is important in the situations where the project collaborators need to coordinate their efforts. The coordination is mostly achieved through the combination of the shared baseline schedule and the deviation penalties. In this paper, we present an extension of predictive Gantt chart to the proactive-reactive scheduling needs. It can be used to track the evolution of the relationship between dynamic and static elements through the time. The dynamic elements are evolving probability distributions due to the uncertainty and revealed information. The static elements are time-agreements in the baseline schedule. We demonstrate that in the state-of-the-art proactive-reactive scheduling, the baseline schedule is agnostic to the information received during the project execution. The sources of such inflexibility in the problem model and the scheduling methods are analyzed. The visualization is highlighted as a precursor to developing new methods that proactively change the baseline schedule in accordance with the gained information.
{"title":"Tracking Predictive Gantt Chart for Proactive Rescheduling in Stochastic Resource Constrained Project Scheduling","authors":"Mario Brčič, D. Mlinarić","doi":"10.31341/JIOS.42.2.2","DOIUrl":"https://doi.org/10.31341/JIOS.42.2.2","url":null,"abstract":"Proactive-reactive scheduling is important in the situations where the project collaborators need to coordinate their efforts. The coordination is mostly achieved through the combination of the shared baseline schedule and the deviation penalties. In this paper, we present an extension of predictive Gantt chart to the proactive-reactive scheduling needs. It can be used to track the evolution of the relationship between dynamic and static elements through the time. The dynamic elements are evolving probability distributions due to the uncertainty and revealed information. The static elements are time-agreements in the baseline schedule. We demonstrate that in the state-of-the-art proactive-reactive scheduling, the baseline schedule is agnostic to the information received during the project execution. The sources of such inflexibility in\u0000 the problem model and the scheduling methods are analyzed. The visualization is highlighted as a precursor to developing new methods that proactively change the baseline schedule in accordance with the gained information.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46566206","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}
The development and empirical verification of the balanced scorecard (BSC) model, using the multi-criteria decision-making methods (MCDM) called the analytic hierarchy process (AHP) and the analytic network process (ANP), are the key issues of the presented research. The paper presents the methodology of the prioritization of the BSC goals with the AHP and ANP methods. Even though the prioritization of the goals is possible with both, findings from the empirical analysis showed that the ANP is more complementary with the BSC because of the influences among the goals in the BSC. The ANP supports the modelling of those influences (through dependencies) and the AHP does not. The paper discusses special situations in prioritizing the BSC goals (understanding the ANP from the perspective of the user and the BSC with strategic goals that do not directly influence any other strategic goal) and proposes solutions. Therefore, it can be asserted that introducing the ANP to implement the BSC and vice versa, improved the decision-making approach and the quality of the obtained results. The research was based on a case study of modelling the BSC for Ydria Motors LL (YM), a manufacturing company.
{"title":"Differences in prioritization of the BSC’s strategic goals using AHP and ANP methods","authors":"A. Janeš, Nina Begičević Ređep","doi":"10.31341/JIOS.42.2.3","DOIUrl":"https://doi.org/10.31341/JIOS.42.2.3","url":null,"abstract":"The development and empirical verification of the balanced scorecard (BSC) model, using the multi-criteria decision-making methods (MCDM) called the analytic hierarchy process (AHP) and the analytic network process (ANP), are the key issues of the presented research. The paper presents the methodology of the prioritization of the BSC goals with the AHP and ANP methods. Even though the prioritization of the goals is possible with both, findings from the empirical analysis showed that the ANP is more complementary with the BSC because of the influences among the goals in the BSC. The ANP supports the modelling of those influences (through dependencies) and the AHP does not. The paper discusses special situations in prioritizing the BSC goals (understanding the ANP from the perspective of the user and the BSC with strategic goals that do not directly influence any other strategic goal) and proposes solutions. Therefore, it can be asserted that introducing the ANP to implement the BSC and vice versa, improved the decision-making approach and the quality of the obtained results. The research was based on a case study of modelling the BSC for Ydria Motors LL (YM), a manufacturing company.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.42.2.3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43657743","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}
Since its appearance as a research field, Content-based Image Retrieval (CBIR) system has increasingly received an important attention. Review of literature reveals that the efforts put, up to now, in the field address either effectiveness or efficiency. In this paper, we address both accuracy and efficiencythrough introducing an efficient and an effective image retrieval approach based on feature, matching measure and sub-spaceselection. The selection relies on relevance feedback information injected by the user. The approach is tested on Corel-1Kimages database. The obtained results are very promising.
{"title":"An Efficient and Effective Image Retrieval System on the basis of (Feature, Matching Measure and sub-space) Selection","authors":"Mawloud Mosbah","doi":"10.31341/jios.42.2.4","DOIUrl":"https://doi.org/10.31341/jios.42.2.4","url":null,"abstract":"Since its appearance as a research field, Content-based Image Retrieval (CBIR) system has increasingly received an important attention. Review of literature reveals that the efforts put, up to now, in the field address either effectiveness or efficiency. In this paper, we address both accuracy and efficiencythrough introducing an efficient and an effective image retrieval approach based on feature, matching measure and sub-spaceselection. The selection relies on relevance feedback information injected by the user. The approach is tested on Corel-1Kimages database. The obtained results are very promising.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/jios.42.2.4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43251531","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 paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm that we have proposed previously in the context of Content based Image Retrieval (CBIR) namely Majority Voting Re-ranking Algorithm (MVRA). The experiments conducted using ten queries reveal very promising results in terms of effectiveness.
{"title":"Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA","authors":"Mawloud Mosbah","doi":"10.31341/jios.42.2.5","DOIUrl":"https://doi.org/10.31341/jios.42.2.5","url":null,"abstract":"In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm that we have proposed previously in the context of Content based Image Retrieval (CBIR) namely Majority Voting Re-ranking Algorithm (MVRA). The experiments conducted using ten queries reveal very promising results in terms of effectiveness.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48925261","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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