Stephan Baier, Sebastian Dunzer, P. Fettke, Constantin Houy, Martin Matzner, P. Pfeiffer, Jana-Rebecca Rehse, Martin Scheid, Sebastian Stephan, M. Stierle, Brian Willems
Information systems (IS) can significantly support the organization of business processes. However, the proceeding digitalization of processes can also lead to an increasing organizational complexity and the need to more intensely investigate the adherence to external or internal compliance rules. Process-related data from IS and underlying process models can, however, also contribute to an effective compliance checking. This paper summarizes the motivation, the setup, the data set and the results of the 2019 MobIS-Challenge which was conducted as a workshop at WI 2019 in Siegen, Germany. Results submitted to the challenge are presented in detail and directions for future work are discussed.
{"title":"The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems","authors":"Stephan Baier, Sebastian Dunzer, P. Fettke, Constantin Houy, Martin Matzner, P. Pfeiffer, Jana-Rebecca Rehse, Martin Scheid, Sebastian Stephan, M. Stierle, Brian Willems","doi":"10.18417/EMISA.15.5","DOIUrl":"https://doi.org/10.18417/EMISA.15.5","url":null,"abstract":"Information systems (IS) can significantly support the organization of business processes. However, the proceeding digitalization of processes can also lead to an increasing organizational complexity and the need to more intensely investigate the adherence to external or internal compliance rules. Process-related data from IS and underlying process models can, however, also contribute to an effective compliance checking. This paper summarizes the motivation, the setup, the data set and the results of the 2019 MobIS-Challenge which was conducted as a workshop at WI 2019 in Siegen, Germany. Results submitted to the challenge are presented in detail and directions for future work are discussed.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116368952","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}
Recent research in conceptual modeling and enterprise modeling calls for relaxing common assumptions about the nature of modeling methods and related modeling languages and metamodels. This paper pursues that goal by proposing a new vision of modeling methods that overcomes some of the limitations identified in the literature by satisfying four requirements for more flexible modeling methods. That vision builds upon the integration of multiple modeling techniques that are related to an overarching metaphor. Those techniques may address heterogeneous purposes such as specifying a system’s capabilities or specifying which resources are used by specific activities. This paper presents design characteristics and metamodel design options to guide method engineers in adopting this broader notion of modeling methods, integrating multiple modeling techniques, and using appropriate modeling languages. To demonstrate feasibility, an extended version of the work system method (WSM) is presented in the form of a Work System Modeling Method (WSMM) that encompasses seven purposes of modeling that call for successively more formal approaches. A final section summarizes how WSMM addresses the issues and requirements from the introduction, explains how coherence is maintained within WSMM, and identifies areas for future research, with emphasis on ways to make WSMM and similar modeling methods as valuable as possible.
{"title":"Satisfying Four Requirements for More Flexible Modeling Methods: Theory and Test Case","authors":"D. Bork, Steven L. Alter","doi":"10.18417/EMISA.15.3","DOIUrl":"https://doi.org/10.18417/EMISA.15.3","url":null,"abstract":"Recent research in conceptual modeling and enterprise modeling calls for relaxing common assumptions about the nature of modeling methods and related modeling languages and metamodels. This paper pursues that goal by proposing a new vision of modeling methods that overcomes some of the limitations identified in the literature by satisfying four requirements for more flexible modeling methods. That vision builds upon the integration of multiple modeling techniques that are related to an overarching metaphor. Those techniques may address heterogeneous purposes such as specifying a system’s capabilities or specifying which resources are used by specific activities. This paper presents design characteristics and metamodel design options to guide method engineers in adopting this broader notion of modeling methods, integrating multiple modeling techniques, and using appropriate modeling languages. To demonstrate feasibility, an extended version of the work system method (WSM) is presented in the form of a Work System Modeling Method (WSMM) that encompasses seven purposes of modeling that call for successively more formal approaches. A final section summarizes how WSMM addresses the issues and requirements from the introduction, explains how coherence is maintained within WSMM, and identifies areas for future research, with emphasis on ways to make WSMM and similar modeling methods as valuable as possible.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123574155","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}
Business Process Compliance (BPC) bridges the disciplines of Business Process Management and Compliance Management, and is aimed to ensure that business processes are aligned with laws and regulations. In this context, business rules are used as a central means to represent regulatory policies and consequently to (automatedly) verify, whether business process models abide by respective rules. While there has been a plethora of works regarding this actual verification of process models relative to business rules, we see a strong lack of works regarding the actual creation and maintenance of business rules. More precisely, many works assume sound sets of business rules as a basis for subsequent techniques. However, recent works suggest this assumption cannot be made in practice, and companies actually need to be supported in the scope of managing and organizing business rules, e.g., to remove redundant or contradictory rules. Organizing business rules is a mandatory prerequisite to BPC, as errors in business rules make these rule bases unusable and impede a subsequent verification of process compliance. However, the literature on business rule organization is sparse - especially its relation to BPC. We therefore investigate how to harmonize company efforts in business rule organization and BPC by the means of a systematic literature review. The main contribution of this work is a guideline which supports companies to select appropriate rule organization approaches based on company BPC needs. Also, we identify research gaps and propose a corresponding research agenda based on our findings.
{"title":"A Taxonomy of Business Rule Organizing Approaches in Regard to Business Process Compliance","authors":"Carl Corea, Patrick Delfmann","doi":"10.18417/EMISA.15.4","DOIUrl":"https://doi.org/10.18417/EMISA.15.4","url":null,"abstract":"Business Process Compliance (BPC) bridges the disciplines of Business Process Management and Compliance Management, and is aimed to ensure that business processes are aligned with laws and regulations. In this context, business rules are used as a central means to represent regulatory policies and consequently to (automatedly) verify, whether business process models abide by respective rules. While there has been a plethora of works regarding this actual verification of process models relative to business rules, we see a strong lack of works regarding the actual creation and maintenance of business rules. More precisely, many works assume sound sets of business rules as a basis for subsequent techniques. However, recent works suggest this assumption cannot be made in practice, and companies actually need to be supported in the scope of managing and organizing business rules, e.g., to remove redundant or contradictory rules. Organizing business rules is a mandatory prerequisite to BPC, as errors in business rules make these rule bases unusable and impede a subsequent verification of process compliance. However, the literature on business rule organization is sparse - especially its relation to BPC. We therefore investigate how to harmonize company efforts in business rule organization and BPC by the means of a systematic literature review. The main contribution of this work is a guideline which supports companies to select appropriate rule organization approaches based on company BPC needs. Also, we identify research gaps and propose a corresponding research agenda based on our findings.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650909","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}
Given the scale, complexity and variety of enterprise architectures, approaches for modeling them need to be as simple and flexible as possible in order to minimize the accidental complexity within enterprise architecture models. Multi-level modeling techniques offer an effective way of achieving this but to date there has been little research into how they could contribute to enterprise architecture modeling. In this article we therefore explore how the former could be best leveraged within the latter by considering the modeling goals, architecture and principles of one of the most concrete and widely used enterprise architecture modeling standards: ArchiMate. More specifically, we discuss how the conceptual integrity of the ArchiMate standard and modeling experience could be enhanced using multi-level modeling principles. In our discussions, we focus on a specific variant of multi-level modeling, called deep modeling, which is based on the notions of orthogonal classification and deep instantiation.
{"title":"A Deep Perspective on the ArchiMate Enterprise Architecture Modeling Language","authors":"C. Atkinson, Thomas Kühne","doi":"10.18417/EMISA.15.2","DOIUrl":"https://doi.org/10.18417/EMISA.15.2","url":null,"abstract":"Given the scale, complexity and variety of enterprise architectures, approaches for modeling them need to be as simple and flexible as possible in order to minimize the accidental complexity within enterprise architecture models. Multi-level modeling techniques offer an effective way of achieving this but to date there has been little research into how they could contribute to enterprise architecture modeling. In this article we therefore explore how the former could be best leveraged within the latter by considering the modeling goals, architecture and principles of one of the most concrete and widely used enterprise architecture modeling standards: ArchiMate. More specifically, we discuss how the conceptual integrity of the ArchiMate standard and modeling experience could be enhanced using multi-level modeling principles. In our discussions, we focus on a specific variant of multi-level modeling, called deep modeling, which is based on the notions of orthogonal classification and deep instantiation.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127585901","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}
Jonas Wanner, Christopher Wissuchek, Christian Janiesch
In the Industrial Internet of Things, cyber-physical systems bridge the gap between the physical and digital world by connecting advanced manufacturing systems with digital services in so-called smart factories. This interplay generates a large amount of data. By analyzing the data, manufacturers can reap many benefits and optimize their operations. Here, the value of information is at its highest with low latency to its emergence and its value decreases over time. Complex Event Processing (CEP) is a technology, which enables real-time analysis of complex events (i.e., combined data values from different sources). In this way, CEP assists in the identification and localization of anomalous process sequences in smart factories. However, CEP comes with limitations that reduce its effectiveness. Setting up CEP requires in-depth domain knowledge and is primarily declarative as well as reactive by nature. Combining CEP with machine learning (ML) is a possible extension to circumvent these technological limitations. However, there is no up-to-date overview on the integration of both paradigms in research and no review of their transferability for application in smart factories. In this article, we provide (1) a synthesis of research on the integration of CEP and ML identifying supervised learning as the predominant approach, and (2) a transfer of potentials for the use in smart factories. Here, reactive and proactive policies are used in equal frequency.
{"title":"Machine Learning and Complex Event Processing. A Review of Real-time Data Analytics for the Industrial Internet of Things","authors":"Jonas Wanner, Christopher Wissuchek, Christian Janiesch","doi":"10.18417/EMISA.15.1","DOIUrl":"https://doi.org/10.18417/EMISA.15.1","url":null,"abstract":"In the Industrial Internet of Things, cyber-physical systems bridge the gap between the physical and digital world by connecting advanced manufacturing systems with digital services in so-called smart factories. This interplay generates a large amount of data. By analyzing the data, manufacturers can reap many benefits and optimize their operations. Here, the value of information is at its highest with low latency to its emergence and its value decreases over time. Complex Event Processing (CEP) is a technology, which enables real-time analysis of complex events (i.e., combined data values from different sources). In this way, CEP assists in the identification and localization of anomalous process sequences in smart factories. However, CEP comes with limitations that reduce its effectiveness. Setting up CEP requires in-depth domain knowledge and is primarily declarative as well as reactive by nature. Combining CEP with machine learning (ML) is a possible extension to circumvent these technological limitations. However, there is no up-to-date overview on the integration of both paradigms in research and no review of their transferability for application in smart factories. In this article, we provide (1) a synthesis of research on the integration of CEP and ML identifying supervised learning as the predominant approach, and (2) a transfer of potentials for the use in smart factories. Here, reactive and proactive policies are used in equal frequency.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115632267","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}
Christopher Reichstein, K. Sandkuhl, Ralf-Christian Härting
A successful digital transformation in enterprises requires surpassing infrastructural flexibility within firms and a high level of IT competence in order to meet changing business requirements. Digital enterprises face the challenge of combining business and IT to benefit from existing technological achievements in the digital age. Previous studies have shown that there are critical factors that influence the benefits of Enterprise Architecture Management (EAM). However, factors influencing the digital transformation have not been considered yet. An alternative and iterative research approach develops new success factors for enterprises that benefit from EAM. In this context, this paper builds on a qualitative research approach to examine additional factors and their impact on EAM. The approach is based on an extended structured literature review to build a new empirical research model. In addition, the indicators were validated by three different industrial case studies reflecting the benefit from EAM within the digital transformation process. The results of the extended research models and case study validation show that factors aggregated to the determinants IT Landscapes, Internal Business and EAM Establishment have substantially impact on the benefit of EAM in enterprises. Moreover, the authors found two factors (firm size and external business) in the model moderating & the effects on the benefit from EAM.
{"title":"How companies can benefit from Enterprise Architecture Management in the Digital Transformation Process - An Extended Research Model","authors":"Christopher Reichstein, K. Sandkuhl, Ralf-Christian Härting","doi":"10.18417/emisa.14.6","DOIUrl":"https://doi.org/10.18417/emisa.14.6","url":null,"abstract":"A successful digital transformation in enterprises requires surpassing infrastructural flexibility within firms and a high level of IT competence in order to meet changing business requirements. Digital enterprises face the challenge of combining business and IT to benefit from existing technological achievements in the digital age. Previous studies have shown that there are critical factors that influence the benefits of Enterprise Architecture Management (EAM). However, factors influencing the digital transformation have not been considered yet. An alternative and iterative research approach develops new success factors for enterprises that benefit from EAM. In this context, this paper builds on a qualitative research approach to examine additional factors and their impact on EAM. The approach is based on an extended structured literature review to build a new empirical research model. In addition, the indicators were validated by three different industrial case studies reflecting the benefit from EAM within the digital transformation process. The results of the extended research models and case study validation show that factors aggregated to the determinants IT Landscapes, Internal Business and EAM Establishment have substantially impact on the benefit of EAM in enterprises. Moreover, the authors found two factors (firm size and external business) in the model moderating & the effects on the benefit from EAM.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176289","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}
Digital learning has become more than just a trend in the modern world. Blended learning concepts are well established in different areas of application. An important concept in this domain is the so-called flipped classroom (FC). This approach repurposes class time to focus on application and discussion, while the acquisition of basic knowledge will happen at home, enabled by online lectures. In the past, research demonstrated and discussed the advantages of flipped classroom concepts within case studies. Still, standardized guidelines for the development of flipped classrooms are rare. However, it is necessary to learn from the past to improve future education. Thus, we analyzed reviews on flipped classroom research and used these to inductively develop a reference process model for the realization of flipped classroom concepts. The model is based on phases taken from project management, which help to structure the process and associated tasks. The results present the process model shown in Business Process Model and Notation (BPMN) and applicable checklists for the development of a FC course. The process model was applied and evaluated during the implementation of a flipped classroom at a university. Future research shouldconcentrate on evaluation of the model as well as a deeper elaboration of upcoming roles and their tasks in order to derive further guidance for teachers and organizations.
{"title":"Designing a Flipped Classroom Course - a Process Model","authors":"Kristin Vogelsang, Alena Droit, Kirsten Liere-Netheler","doi":"10.18417/emisa.14.4","DOIUrl":"https://doi.org/10.18417/emisa.14.4","url":null,"abstract":"Digital learning has become more than just a trend in the modern world. Blended learning concepts are well established in different areas of application. An important concept in this domain is the so-called flipped classroom (FC). This approach repurposes class time to focus on application and discussion, while the acquisition of basic knowledge will happen at home, enabled by online lectures. In the past, research demonstrated and discussed the advantages of flipped classroom concepts within case studies. Still, standardized guidelines for the development of flipped classrooms are rare. However, it is necessary to learn from the past to improve future education. Thus, we analyzed reviews on flipped classroom research and used these to inductively develop a reference process model for the realization of flipped classroom concepts. The model is based on phases taken from project management, which help to structure the process and associated tasks. The results present the process model shown in Business Process Model and Notation (BPMN) and applicable checklists for the development of a FC course. The process model was applied and evaluated during the implementation of a flipped classroom at a university. Future research shouldconcentrate on evaluation of the model as well as a deeper elaboration of upcoming roles and their tasks in order to derive further guidance for teachers and organizations.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132734369","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}
Blockchain technology has been proposed as a new infrastructure technology for a wide variety of novel applications. Blockchains provide an immutable record of transactions, making them useful when business actors do not trust each other. Their distributed nature makes them suitable for inter-organizational applications. However, proof-of-work based blockchains are computationally inefficient and do not provide final consensus, although they scale well to large networks. In contrast, blockchains built around Byzantine Fault Tolerance (BFT) algorithms are more efficient and provide immediate and final consensus, but do not scale well to large networks. We argue that this makes them well-suited for workflow management applications that typically include no more than a few dozen participants but require final consensus. In this paper, we discuss architectural options and present a prototype implementation of a BFT-blockchain-based workflow management system (WfMS).
{"title":"Workflow Management on BFT Blockchains","authors":"Joerg Evermann, Henry M. Kim","doi":"10.18417/emisa.15.14","DOIUrl":"https://doi.org/10.18417/emisa.15.14","url":null,"abstract":"Blockchain technology has been proposed as a new infrastructure technology for a wide variety of novel applications. Blockchains provide an immutable record of transactions, making them useful when business actors do not trust each other. Their distributed nature makes them suitable for inter-organizational applications. However, proof-of-work based blockchains are computationally inefficient and do not provide final consensus, although they scale well to large networks. In contrast, blockchains built around Byzantine Fault Tolerance (BFT) algorithms are more efficient and provide immediate and final consensus, but do not scale well to large networks. We argue that this makes them well-suited for workflow management applications that typically include no more than a few dozen participants but require final consensus. In this paper, we discuss architectural options and present a prototype implementation of a BFT-blockchain-based workflow management system (WfMS).","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410315","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}
This contribution introduces the concept of Situational Reference Model Mining, i. e., the idea that automatically derived reference models, although derived from identical input data, are intended for different purposes and therefore have to meet different requirements. These requirements determine the reference model character and thus the technique that is best suited for mining it. Situational Reference Model Mining is based on well-known design principles for reference modeling, such as configuration, aggregation, specialization, instantiation, and analogy. We present a procedure model for Situational Reference Model Mining and demonstrate its usefulness by means of a case study. Existing techniques for Reference Model Mining are examined and mapped to their underlying design principles. Our approach provides reference model designers with first guidelines regarding their choice of mining technique and points out research gaps for the development of new approaches to reference model mining.
{"title":"A Procedure Model for Situational Reference Model Mining","authors":"Jana-Rebecca Rehse, P. Fettke","doi":"10.18417/emisa.14.3","DOIUrl":"https://doi.org/10.18417/emisa.14.3","url":null,"abstract":"This contribution introduces the concept of Situational Reference Model Mining, i. e., the idea that automatically derived reference models, although derived from identical input data, are intended for different purposes and therefore have to meet different requirements. These requirements determine the reference model character and thus the technique that is best suited for mining it. Situational Reference Model Mining is based on well-known design principles for reference modeling, such as configuration, aggregation, specialization, instantiation, and analogy. We present a procedure model for Situational Reference Model Mining and demonstrate its usefulness by means of a case study. Existing techniques for Reference Model Mining are examined and mapped to their underlying design principles. Our approach provides reference model designers with first guidelines regarding their choice of mining technique and points out research gaps for the development of new approaches to reference model mining.","PeriodicalId":186216,"journal":{"name":"Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127369163","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：