Pub Date : 2021-09-12DOI: 10.26907/1562-5419-2021-24-4-710-753
M. K. Shakirov
A method for building end-to-end management accounting in a division of the Bank’s subdevision specializing in working with non-core assets is proposed. Has been proposed the process approach, an algorithm for building a database for the formation of key performance and control indicators. Has been described the key stages of the department's work, the attribute composition of entities (set) arriving, enriched and transmitted at each stage of the department's work. By modeling the process has been built a role model, access and editing rights for employees. Data sources (reference books) for optimization and unification of the process of filling the database (tuple) are proposed. A method of accessing the database in the Power Query Microsoft Excel add-in is proposed, which allows you to collect data from files of all basic data types, process and refine the received data. In the interactive programming environment Jupyter Notebook, mathematical and financial models for data analysis (logistic regression, decision tree and discounted cash flow method) were built based on data in order to predict costs, the timing of asset exposure and make a decision on the optimal cost of putting property on the Bank's balance sheet and selling price. Based on ready-made libraries (matpotlib, seaborn, plotly), options for data visualization for management are proposed. Using the example of the Bank's division, the author describes the positive effects and opportunities that open up to the management of different levels in solving day-to-day tasks and planning the activities of the division. A technical task was proposed for the development of a showcase for the sale of non-core assets on the Bank's website as an environment for the accumulation of external data for making flexible management decisions.
提出了在世行专门处理非核心资产的分支机构的一个部门建立端到端管理会计的方法。提出了过程方法，一种建立数据库的算法，形成关键绩效和控制指标。描述了部门工作的关键阶段，实体的属性组成(集)在部门工作的各个阶段到达、丰富和传递。通过对流程进行建模，为员工建立了角色模型、访问权限和编辑权限。提出了用于优化和统一填充数据库(元组)过程的数据源(参考书)。提出了一种在Power Query Microsoft Excel外接程序中访问数据库的方法，该方法允许您从所有基本数据类型的文件中收集数据，并对接收到的数据进行处理和细化。在交互式编程环境Jupyter Notebook中，基于数据建立了用于数据分析的数学和财务模型(逻辑回归、决策树和贴现现金流法)，以预测成本、资产暴露时间，并决定将资产纳入银行资产负债表的最优成本和销售价格。在现有库(matpotlib、seaborn、plotly)的基础上，提出了用于管理的数据可视化选项。作者以世行部门为例，描述了在解决日常任务和规划部门活动方面为不同级别的管理人员提供的积极影响和机会。提议了一项技术任务，在世界银行网站上为非核心资产的出售开发一个展示橱窗，作为积累外部数据以作出灵活管理决策的环境。
{"title":"Process Approach and Construction of the Database for Non-Core Asset Management in Credit Organizations","authors":"M. K. Shakirov","doi":"10.26907/1562-5419-2021-24-4-710-753","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-4-710-753","url":null,"abstract":"A method for building end-to-end management accounting in a division of the Bank’s subdevision specializing in working with non-core assets is proposed. Has been proposed the process approach, an algorithm for building a database for the formation of key performance and control indicators.\u0000Has been described the key stages of the department's work, the attribute composition of entities (set) arriving, enriched and transmitted at each stage of the department's work. By modeling the process has been built a role model, access and editing rights for employees. Data sources (reference books) for optimization and unification of the process of filling the database (tuple) are proposed. A method of accessing the database in the Power Query Microsoft Excel add-in is proposed, which allows you to collect data from files of all basic data types, process and refine the received data. In the interactive programming environment Jupyter Notebook, mathematical and financial models for data analysis (logistic regression, decision tree and discounted cash flow method) were built based on data in order to predict costs, the timing of asset exposure and make a decision on the optimal cost of putting property on the Bank's balance sheet and selling price. Based on ready-made libraries (matpotlib, seaborn, plotly), options for data visualization for management are proposed. Using the example of the Bank's division, the author describes the positive effects and opportunities that open up to the management of different levels in solving day-to-day tasks and planning the activities of the division. A technical task was proposed for the development of a showcase for the sale of non-core assets on the Bank's website as an environment for the accumulation of external data for making flexible management decisions.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555921","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 : 2021-09-12DOI: 10.26907/1562-5419-2021-24-4-622-652
V. Kugurakova, Vitaly Abramov, Daniil Ivanovich Kostiuk, R. Sharaeva, Rim Radikovich Gazizova, M. Khafizov
The work is devoted to the description of the process of developing a universal toolkit for generating synthetic data for training various neural networks. The approach used has shown its success and effectiveness in solving various problems, in particular, training a neural network to recognize shopping behavior inside stores through surveillance cameras and training a neural network for recognizing spaces with augmented reality devices without using auxiliary infrared cameras. Generalizing conclusions allow planning the further development of technologies for generating three-dimensional synthetic data.
{"title":"Generation of Three-Dimensional Synthetic Datasets","authors":"V. Kugurakova, Vitaly Abramov, Daniil Ivanovich Kostiuk, R. Sharaeva, Rim Radikovich Gazizova, M. Khafizov","doi":"10.26907/1562-5419-2021-24-4-622-652","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-4-622-652","url":null,"abstract":"The work is devoted to the description of the process of developing a universal toolkit for generating synthetic data for training various neural networks. The approach used has shown its success and effectiveness in solving various problems, in particular, training a neural network to recognize shopping behavior inside stores through surveillance cameras and training a neural network for recognizing spaces with augmented reality devices without using auxiliary infrared cameras. Generalizing conclusions allow planning the further development of technologies for generating three-dimensional synthetic data.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133921589","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 : 2021-09-12DOI: 10.26907/1562-5419-2021-24-4-667-688
Rustem Damirovich Saitgareev, B. R. Giniatullin, Vladislav Yurievich Toporov, Artur Aleksandrovich Atnagulov, Farid Radikovich Aglyamov
Currently, the major part of transmitted and stored data is unstructured, and the amount of unstructured data is growing rapidly each year, although it is hardly searchable, unqueryable, and its processing is not automated. At the same time, there is a growth of electronic document management systems. This paper proposes a solution for extracting data from paper documents considering their structure and layout based on document photos. By examining different approaches, including neural networks and plain algorithmic methods, we present their results and discuss them.
{"title":"Data Extraction from Similarly Structured Scanned Documents","authors":"Rustem Damirovich Saitgareev, B. R. Giniatullin, Vladislav Yurievich Toporov, Artur Aleksandrovich Atnagulov, Farid Radikovich Aglyamov","doi":"10.26907/1562-5419-2021-24-4-667-688","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-4-667-688","url":null,"abstract":"Currently, the major part of transmitted and stored data is unstructured, and the amount of unstructured data is growing rapidly each year, although it is hardly searchable, unqueryable, and its processing is not automated. At the same time, there is a growth of electronic document management systems. This paper proposes a solution for extracting data from paper documents considering their structure and layout based on document photos. By examining different approaches, including neural networks and plain algorithmic methods, we present their results and discuss them.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124558672","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 : 2021-09-12DOI: 10.26907/1562-5419-2021-24-4-653-666
D. Kuzmin, K. Grigorian
In the context of ever-increasing informatization, automation and digitalization of business, new schemes of unfair actions by both legal entities and individuals are emerging. In this regard, there is an acute problem of quick, effective and high-quality identification of information about a potential or current counterparty, which will allow you to quickly make the right management decisions. The article describes one of the ways to solve this problem - the development of a system of information monitoring of counterparties, which will allow you to quickly identify and analyze information about their activities.
{"title":"System of Information Monitoring of Contractors","authors":"D. Kuzmin, K. Grigorian","doi":"10.26907/1562-5419-2021-24-4-653-666","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-4-653-666","url":null,"abstract":"In the context of ever-increasing informatization, automation and digitalization of business, new schemes of unfair actions by both legal entities and individuals are emerging. In this regard, there is an acute problem of quick, effective and high-quality identification of information about a potential or current counterparty, which will allow you to quickly make the right management decisions.\u0000The article describes one of the ways to solve this problem - the development of a system of information monitoring of counterparties, which will allow you to quickly identify and analyze information about their activities.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115891454","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 : 2021-09-12DOI: 10.26907/1562-5419-2021-24-4-689-709
O. Tazenkova
A method for assessing the risk of default of a corporate borrower at the monitoring stage based on a scoring assessment is proposed. This paper provides proof of the hypothesis that scoring methods for assessing credit risks can be used not only at the stage of initial assessment of a potential borrower when making a decision on lending, but also at the stage of its monitoring when accompanying a transaction. Monitoring is a periodic review of the credit quality of the corporate borrower with whom the loan agreement is concluded. This is done for the purpose of timely detection of negative signals, as well as timely response to threatening trends in the borrower's activities. Some credit institutions save on monitoring by relying on the decision-making system, considering it flawless. However, this saving can be a fatal mistake, since many things change over time during the "life" of the enterprise. This is facilitated by both external factors (political, economic) and internal (incorrect development strategy of the organization, inability to assess its own credit capabilities, unscrupulous counterparties). The proposed method is a system of automatic risk signals that have been tested for predictive ability, excluding manual procedures. The proposed solution includes markers (risk signals) that have a predictive ability above average, which can lead to a default of the corporate borrower. In addition, color marking is applied – red, yellow, green, which allows you to visualize the criticality of the identified risk signal depending on the predictive ability - a visual representation of the borrower's risks in order to facilitate interpretation. The analysis of the developed method showed how much it is possible to speed up the monitoring process, which will allow for a prompt response to the identified risk signals, as well as to predict the likely deterioration of the borrower's credit quality in the loan or guarantee portfolio without compromising the quality of risk assessment.
{"title":"Application of Credit Risk Scoring Methods in Corporate Borrower Monitoring","authors":"O. Tazenkova","doi":"10.26907/1562-5419-2021-24-4-689-709","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-4-689-709","url":null,"abstract":"A method for assessing the risk of default of a corporate borrower at the monitoring stage based on a scoring assessment is proposed. This paper provides proof of the hypothesis that scoring methods for assessing credit risks can be used not only at the stage of initial assessment of a potential borrower when making a decision on lending, but also at the stage of its monitoring when accompanying a transaction. Monitoring is a periodic review of the credit quality of the corporate borrower with whom the loan agreement is concluded. This is done for the purpose of timely detection of negative signals, as well as timely response to threatening trends in the borrower's activities.\u0000Some credit institutions save on monitoring by relying on the decision-making system, considering it flawless. However, this saving can be a fatal mistake, since many things change over time during the \"life\" of the enterprise. This is facilitated by both external factors (political, economic) and internal (incorrect development strategy of the organization, inability to assess its own credit capabilities, unscrupulous counterparties).\u0000The proposed method is a system of automatic risk signals that have been tested for predictive ability, excluding manual procedures. The proposed solution includes markers (risk signals) that have a predictive ability above average, which can lead to a default of the corporate borrower. In addition, color marking is applied – red, yellow, green, which allows you to visualize the criticality of the identified risk signal depending on the predictive ability - a visual representation of the borrower's risks in order to facilitate interpretation.\u0000The analysis of the developed method showed how much it is possible to speed up the monitoring process, which will allow for a prompt response to the identified risk signals, as well as to predict the likely deterioration of the borrower's credit quality in the loan or guarantee portfolio without compromising the quality of risk assessment.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126789242","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 : 2021-09-12DOI: 10.26907/1562-5419-2021-24-4-604-621
A. S. Eremenko, V. Naumova, Aleksey Andreevich Zagumennov, V. S. Eremenko, A. Zlobina
This work is related to the development of a high-tech popular science Internet portal "History of the Earth". The developed resource sets as its main goal the popularization of modern scientific geological knowledge using popular science multimedia content and software tools for interactive work with it. The Internet resource is intended for schoolchildren and students, as well as a wide range of Internet users.
{"title":"Internet Portal \"Earth History: Geological Perspective\". High-Technology Popularization of Scientific Geological Knowledge","authors":"A. S. Eremenko, V. Naumova, Aleksey Andreevich Zagumennov, V. S. Eremenko, A. Zlobina","doi":"10.26907/1562-5419-2021-24-4-604-621","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-4-604-621","url":null,"abstract":"This work is related to the development of a high-tech popular science Internet portal \"History of the Earth\". The developed resource sets as its main goal the popularization of modern scientific geological knowledge using popular science multimedia content and software tools for interactive work with it. The Internet resource is intended for schoolchildren and students, as well as a wide range of Internet users.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131714182","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 : 2021-08-30DOI: 10.26907/1562-5419-2021-24-3-446-464
Alla Aleksandrovna Vitukhnovskaya
The article describes the problems and features of information retrieval activity of students amid the extreme transition of universities to remote education. The results of a student survey are described, allowing to gain some initial insights into the information retrieval competencies of students in a new reality, when the only opportunity for them is remote access to electronic information systems and electronic educational resources. The competencies necessary for effective information retrieval in a remote and blended teaching have been listed and characterized.
{"title":"The Information Retrieval Competencies of Students Faced with Remote and Blended Teaching","authors":"Alla Aleksandrovna Vitukhnovskaya","doi":"10.26907/1562-5419-2021-24-3-446-464","DOIUrl":"https://doi.org/10.26907/1562-5419-2021-24-3-446-464","url":null,"abstract":"The article describes the problems and features of information retrieval activity of students amid the extreme transition of universities to remote education. The results of a student survey are described, allowing to gain some initial insights into the information retrieval competencies of students in a new reality, when the only opportunity for them is remote access to electronic information systems and electronic educational resources. The competencies necessary for effective information retrieval in a remote and blended teaching have been listed and characterized.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313775","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 : 2020-11-05DOI: 10.26907/1562-5419-2020-23-6-1192-1212
Kirill Yurevich Erofeev, M. Ziiatdinov, E. Mokshin
Persistent homology is a topological data analysis tool which is reflecting changes in topological structure of data along its scale. Application of persistent homology to monitoring hydraulic fracturing which is allowing researchers to consider prior information in a natural way is given in the article
{"title":"Persistent Homology: Application To Monitoring Hydraulic Fracturing","authors":"Kirill Yurevich Erofeev, M. Ziiatdinov, E. Mokshin","doi":"10.26907/1562-5419-2020-23-6-1192-1212","DOIUrl":"https://doi.org/10.26907/1562-5419-2020-23-6-1192-1212","url":null,"abstract":"Persistent homology is a topological data analysis tool which is reflecting changes in topological structure of data along its scale. Application of persistent homology to monitoring hydraulic fracturing which is allowing researchers to consider prior information in a natural way is given in the article","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149324","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 : 2020-08-23DOI: 10.26907/1562-5419-2020-23-5-905-913
E. Gushchina
The article discusses the process of creating and developing a library and museum as part of the educational and scientific material base of the Cabinet of Geography at the Department of Geography and Ethnography of Imperial Kazan University. From the annual reports on the activities of the Department it can be seen that the acquisition of the Library with new editions, and the Ethnographic Museum with collections, was systematic. These processes were interconnected and aimed at creating a high-quality integrated material base for the development of the educational and scientific process. The article emphasizes that the leading role in the processes of forming the library and museum belonged to the head of the Department of Geography and Ethnography, Petr Ivanovich Krotov and Bruno Friedrichovich Adler. Peter Krotov created the Cabinet of Geography. Bruno Adler improved and developed not only the Cabinet of Geography itself, but also ethnographic science in the Volga Region and Russia as a whole. For example, having academic ties with Russian and foreign scientists, Bruno Adler received many publications and subjects for the Cabinet of Geography as a gift. This allowed for the year to increase several times, both the library and the museum under the Cabinet of Geography. The scientifically organized cabinet, which has comprehensive collections and professional literature, has become a quality source base for the development of ethnographic science at Kazan University.
{"title":"Library and Museum of the Cabinet of Geography of the Imperial Kazan University","authors":"E. Gushchina","doi":"10.26907/1562-5419-2020-23-5-905-913","DOIUrl":"https://doi.org/10.26907/1562-5419-2020-23-5-905-913","url":null,"abstract":"The article discusses the process of creating and developing a library and museum as part of the educational and scientific material base of the Cabinet of Geography at the Department of Geography and Ethnography of Imperial Kazan University. From the annual reports on the activities of the Department it can be seen that the acquisition of the Library with new editions, and the Ethnographic Museum with collections, was systematic. These processes were interconnected and aimed at creating a high-quality integrated material base for the development of the educational and scientific process. The article emphasizes that the leading role in the processes of forming the library and museum belonged to the head of the Department of Geography and Ethnography, Petr Ivanovich Krotov and Bruno Friedrichovich Adler. Peter Krotov created the Cabinet of Geography. Bruno Adler improved and developed not only the Cabinet of Geography itself, but also ethnographic science in the Volga Region and Russia as a whole. For example, having academic ties with Russian and foreign scientists, Bruno Adler received many publications and subjects for the Cabinet of Geography as a gift. This allowed for the year to increase several times, both the library and the museum under the Cabinet of Geography. The scientifically organized cabinet, which has comprehensive collections and professional literature, has become a quality source base for the development of ethnographic science at Kazan University.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128409799","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 : 2019-12-15DOI: 10.26907/1562-5419-2019-22-6-667-671
Татьяна Николаевна Миракова
In the article discusses the problems of formation of economic culture of younger students in the process of teaching mathematics, provides examples of the economic module of school mathematical problems.
本文探讨了低年级学生在数学教学过程中经济文化的形成问题，并举例说明了学校数学题中的经济模块。
{"title":"Formation of Economic Culture of Students at the Lessons of Mathematics in Primary School","authors":"Татьяна Николаевна Миракова","doi":"10.26907/1562-5419-2019-22-6-667-671","DOIUrl":"https://doi.org/10.26907/1562-5419-2019-22-6-667-671","url":null,"abstract":"In the article discusses the problems of formation of economic culture of younger students in the process of teaching mathematics, provides examples of the economic module of school mathematical problems.","PeriodicalId":262909,"journal":{"name":"Russian Digital Libraries Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130765894","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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