Pub Date : 2019-06-30DOI: 10.12948/issn14531305/23.2.2019.01
Cristian Ciurea, F. Filip
The paper presents a new approach related to crowdsourcing and consensus in the multiparticipant decision-making process. Multi-participant decision-making techniques, based on consensus building models frequently assume there are not really many decision makers in the group (appropriate operations can be done by complete enumeration). The consensus building and the crowdsourcing approach in the decision-making process are described. The most wellknown top ten crowdsourcing platforms are analyzed and a comparison between them is made, in order to show existing and partially supported features.
{"title":"Collaborative Platforms for Crowdsourcing and Consensus-based Decisions in Multi-Participant Environments","authors":"Cristian Ciurea, F. Filip","doi":"10.12948/issn14531305/23.2.2019.01","DOIUrl":"https://doi.org/10.12948/issn14531305/23.2.2019.01","url":null,"abstract":"The paper presents a new approach related to crowdsourcing and consensus in the multiparticipant decision-making process. Multi-participant decision-making techniques, based on consensus building models frequently assume there are not really many decision makers in the group (appropriate operations can be done by complete enumeration). The consensus building and the crowdsourcing approach in the decision-making process are described. The most wellknown top ten crowdsourcing platforms are analyzed and a comparison between them is made, in order to show existing and partially supported features.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80885917","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 : 2019-06-30DOI: 10.12948/issn14531305/23.2.2019.04
Antonio Clim
The global development industries progress towards meeting the ever evolving contemporary and future demands. This transformative evolution introduced phenomena such as Industry 4.0 and 5.0 which are facilitated by both information and operational technologies: collaborative robotics, IoT, AI. Their integration into a hyper-connected system facilitates the production of goods and services. In addition, these industries are characterized by automation, as well as by unmatched levels of data exchange throughout the value chain. Cyber security risks are crucial as the prevalence of these information and operation technologies has changed the appearance of cyber threats. Addressing the premises and realities of cyber security in Industries 4.0 and 5.0 is crucial. Risk mitigation strategies provided by various organizations are crucial for lowering risks. Given the loopholes and vulnerabilities generated by interconnections, cyber security is vital for the advancement of digital industrial transformation.
{"title":"Cyber Security Beyond the Industry 4.0 Era. A Short Review on a Few Technological Promises","authors":"Antonio Clim","doi":"10.12948/issn14531305/23.2.2019.04","DOIUrl":"https://doi.org/10.12948/issn14531305/23.2.2019.04","url":null,"abstract":"The global development industries progress towards meeting the ever evolving contemporary and future demands. This transformative evolution introduced phenomena such as Industry 4.0 and 5.0 which are facilitated by both information and operational technologies: collaborative robotics, IoT, AI. Their integration into a hyper-connected system facilitates the production of goods and services. In addition, these industries are characterized by automation, as well as by unmatched levels of data exchange throughout the value chain. Cyber security risks are crucial as the prevalence of these information and operation technologies has changed the appearance of cyber threats. Addressing the premises and realities of cyber security in Industries 4.0 and 5.0 is crucial. Risk mitigation strategies provided by various organizations are crucial for lowering risks. Given the loopholes and vulnerabilities generated by interconnections, cyber security is vital for the advancement of digital industrial transformation.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85391330","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 : 2019-03-30DOI: 10.12948/ISSN14531305/23.1.2019.05
Antonio Clim, R. Zota
Kullback-Leibler Divergence Class or relative entropy is a special case of broader divergence. It represents a calculation of how one probability distribution diverges from another one, expected probability distribution. Kullback-Leibler divergence has a lot of real-time applications. Even though there is a good progress in the field of medicine, there is a need for a statistical analysis for supporting the emerging requirements. In this paper, we are discussing the application of Kullback-Leibler divergence as a possible method for predicting hypertension by using chest sound recordings and machine learning algorithms. It would have a major outreached benefit in emergency health care systems. Decoding the chest sound pattern has a wide degree in distinguishing different irregularities and wellbeing states of a person in the medicinal field. The proposed method for the estimation of blood pressure is chest sound analysis using a method that creates a record of sounds delivered by the contracting heart, coming about because of valves and related vessels vibration and analyzing it with the help of Kullback-Leibler divergence and machine algorithm. An analysis using the Kullback-Leibler divergence method will allow finding the difference in chest sound recordings which can be evaluated by a machine learning algorithm. The report also proposes the method for analysis of chest sound recordings in Kullback-Leibler divergence class.
{"title":"The Kullback-Leibler Divergence Class in Decoding the Chest Sound Pattern","authors":"Antonio Clim, R. Zota","doi":"10.12948/ISSN14531305/23.1.2019.05","DOIUrl":"https://doi.org/10.12948/ISSN14531305/23.1.2019.05","url":null,"abstract":"Kullback-Leibler Divergence Class or relative entropy is a special case of broader divergence. It represents a calculation of how one probability distribution diverges from another one, expected probability distribution. Kullback-Leibler divergence has a lot of real-time applications. Even though there is a good progress in the field of medicine, there is a need for a statistical analysis for supporting the emerging requirements. In this paper, we are discussing the application of Kullback-Leibler divergence as a possible method for predicting hypertension by using chest sound recordings and machine learning algorithms. It would have a major outreached benefit in emergency health care systems. Decoding the chest sound pattern has a wide degree in distinguishing different irregularities and wellbeing states of a person in the medicinal field. The proposed method for the estimation of blood pressure is chest sound analysis using a method that creates a record of sounds delivered by the contracting heart, coming about because of valves and related vessels vibration and analyzing it with the help of Kullback-Leibler divergence and machine algorithm. An analysis using the Kullback-Leibler divergence method will allow finding the difference in chest sound recordings which can be evaluated by a machine learning algorithm. The report also proposes the method for analysis of chest sound recordings in Kullback-Leibler divergence class.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87116988","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 : 2019-03-30DOI: 10.12948/ISSN14531305/23.1.2019.04
I. Raicu
Social media has opened new avenues and opportunities for financial banking institutions to improve the quality of their products and services and to understand and to adapt to their customers' needs. By directly analyzing the feedback of its customers, financial banking institutions can provide personalized products and services tailored to their customer needs. This paper presents a research framework for creation of a financial banking dataset in order to be used for Sentiment Classification using various Machine Learning methods and techniques. The dataset contains 2234 financial banking comments from Romanian financial banking social media collected via web scraping technique.
{"title":"Financial Banking Dataset for Supervised Machine Learning Classification","authors":"I. Raicu","doi":"10.12948/ISSN14531305/23.1.2019.04","DOIUrl":"https://doi.org/10.12948/ISSN14531305/23.1.2019.04","url":null,"abstract":"Social media has opened new avenues and opportunities for financial banking institutions to improve the quality of their products and services and to understand and to adapt to their customers' needs. By directly analyzing the feedback of its customers, financial banking institutions can provide personalized products and services tailored to their customer needs. This paper presents a research framework for creation of a financial banking dataset in order to be used for Sentiment Classification using various Machine Learning methods and techniques. The dataset contains 2234 financial banking comments from Romanian financial banking social media collected via web scraping technique.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78905903","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 : 2019-03-30DOI: 10.12948/ISSN14531305/23.1.2019.02
B. Iancu
This paper presents a way of performing ASR on multimedia e-learning resources available in Romanian with the usage of the Google Cloud Speech-to-Text API. The material presents the history of ASR systems together with the main approaches used by the algorithms behind these systems. The cloud computing providers, that offer ASR solutions via SaaS, are analyzed as well. After performing a short literature review, the author focuses on applying the Google Cloud Speech-to-Text API on various video e-learning resources available online on YouTube. By doing this, the resources can be easily indexed and transformed into searchable materials. The WER score is used in order to measure the accuracy of the model and to compare it with similar works. The results are more than satisfying, thus the proposed model can be used as a method of automating the indexing of multimedia e-learning resources.
{"title":"Evaluating Google Speech-to-Text API's Performance for Romanian e-Learning Resources","authors":"B. Iancu","doi":"10.12948/ISSN14531305/23.1.2019.02","DOIUrl":"https://doi.org/10.12948/ISSN14531305/23.1.2019.02","url":null,"abstract":"This paper presents a way of performing ASR on multimedia e-learning resources available in Romanian with the usage of the Google Cloud Speech-to-Text API. The material presents the history of ASR systems together with the main approaches used by the algorithms behind these systems. The cloud computing providers, that offer ASR solutions via SaaS, are analyzed as well. After performing a short literature review, the author focuses on applying the Google Cloud Speech-to-Text API on various video e-learning resources available online on YouTube. By doing this, the resources can be easily indexed and transformed into searchable materials. The WER score is used in order to measure the accuracy of the model and to compare it with similar works. The results are more than satisfying, thus the proposed model can be used as a method of automating the indexing of multimedia e-learning resources.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75085814","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 : 2019-03-30DOI: 10.12948/ISSN14531305/23.1.2019.06
Maria Manolî
First, in this paper we will investigates the influence of one of the most important Greek film directors, Angelopoulos, in all national, European and worldwide tourism thru the eyes of cinema camera and Greek cyber-culture. Initially, his award-winning action and the content of his most important work, has always been united with Greece promotion and touristic development. The paper traces how, in the context of information society, his filmography can be an example of good practice for touristic promotion and development and how this kind of cinematography can be a more dynamic section of Greek touristic economy. Second, this paper aims to investigate how ancient drama which flourished in Greek antiquity still represents a portal of touristic attraction and development. Ancient Greek tragedians as well as Aristophanes’ comedies magnetize and attract tourists and students from Europe and the whole world. In addition, touristic destinations where tragedy flourished have a huge number of views from tourists. Finally, we present a case study that analyzes the meaning of literary tourism and examines the prospects of its development in Greece. Through conceptual analyzes in two examples it attempts to present the wealth of literature in regard to the style of writing, values and meanings. The aim of the study is to examine the ways that will help the development of tourism through literature as well as to attract potential tourists to these island destinations.
{"title":"The Impact of Information Society and Cyber-Culture in Greek Tourism Phenomenon","authors":"Maria Manolî","doi":"10.12948/ISSN14531305/23.1.2019.06","DOIUrl":"https://doi.org/10.12948/ISSN14531305/23.1.2019.06","url":null,"abstract":"First, in this paper we will investigates the influence of one of the most important Greek film directors, Angelopoulos, in all national, European and worldwide tourism thru the eyes of cinema camera and Greek cyber-culture. Initially, his award-winning action and the content of his most important work, has always been united with Greece promotion and touristic development. The paper traces how, in the context of information society, his filmography can be an example of good practice for touristic promotion and development and how this kind of cinematography can be a more dynamic section of Greek touristic economy. Second, this paper aims to investigate how ancient drama which flourished in Greek antiquity still represents a portal of touristic attraction and development. Ancient Greek tragedians as well as Aristophanes’ comedies magnetize and attract tourists and students from Europe and the whole world. In addition, touristic destinations where tragedy flourished have a huge number of views from tourists. Finally, we present a case study that analyzes the meaning of literary tourism and examines the prospects of its development in Greece. Through conceptual analyzes in two examples it attempts to present the wealth of literature in regard to the style of writing, values and meanings. The aim of the study is to examine the ways that will help the development of tourism through literature as well as to attract potential tourists to these island destinations.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82231235","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 : 2019-03-30DOI: 10.12948/ISSN14531305/23.1.2019.01
Elena-Adriana Mînăstireanu, Gabriela Mesnita
Today illegal activities regarding online financial transactions have become increasingly complex and borderless, resulting in huge financial losses for both sides, customers and organizations. Many techniques have been proposed to fraud prevention and detection in the online environment. However, all of these techniques besides having the same goal of identifying and combating fraudulent online transactions, they come with their own characteristics, advantages and disadvantages. In this context, this paper reviews the existing research done in fraud detection with the aim of identifying algorithms used and analyze each of these algorithms based on certain criteria. To analyze the research studies in the field of fraud detection, the systematic quantitative literature review methodology was applied. Based on the most called machine-learning algorithms in scientific articles and their characteristics, a hierarchical typology is made. Therefore, our paper highlights, in a new way, the most suitable techniques for detecting fraud by combining three selection criteria: accuracy, coverage and costs.
{"title":"An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection","authors":"Elena-Adriana Mînăstireanu, Gabriela Mesnita","doi":"10.12948/ISSN14531305/23.1.2019.01","DOIUrl":"https://doi.org/10.12948/ISSN14531305/23.1.2019.01","url":null,"abstract":"Today illegal activities regarding online financial transactions have become increasingly complex and borderless, resulting in huge financial losses for both sides, customers and organizations. Many techniques have been proposed to fraud prevention and detection in the online environment. However, all of these techniques besides having the same goal of identifying and combating fraudulent online transactions, they come with their own characteristics, advantages and disadvantages. In this context, this paper reviews the existing research done in fraud detection with the aim of identifying algorithms used and analyze each of these algorithms based on certain criteria. To analyze the research studies in the field of fraud detection, the systematic quantitative literature review methodology was applied. Based on the most called machine-learning algorithms in scientific articles and their characteristics, a hierarchical typology is made. Therefore, our paper highlights, in a new way, the most suitable techniques for detecting fraud by combining three selection criteria: accuracy, coverage and costs.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74088660","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 : 2019-03-30DOI: 10.12948/ISSN14531305/23.1.2019.03
Cristian Păuna
Buy cheap and sell more expensive. This is the main principle to make a profit on capital markets for hundreds of years. The rule is simple but to apply it in practice has become a very difficult task nowadays, with very high price volatility in the financial markets. Once electronic trading was widespread released, reliable solutions can be found using algorithmic trading systems. This paper presents a data mining method applied to the time price series in order to generate buy and sell decisions using computational algorithms. It was found that an original data mining method based on the price cyclicality function gives us an important profit edge when it is about the capital investments on the short and medium term. The Cyclical Trading Method will be presented together with the main principles and practices to design and optimize trading software. Test results are also included in this article in order to compare the presented method with other known methodologies to trade the capital markets.
{"title":"Data Mining Methods on Time Price Series for Algorithmic Trading Systems","authors":"Cristian Păuna","doi":"10.12948/ISSN14531305/23.1.2019.03","DOIUrl":"https://doi.org/10.12948/ISSN14531305/23.1.2019.03","url":null,"abstract":"Buy cheap and sell more expensive. This is the main principle to make a profit on capital markets for hundreds of years. The rule is simple but to apply it in practice has become a very difficult task nowadays, with very high price volatility in the financial markets. Once electronic trading was widespread released, reliable solutions can be found using algorithmic trading systems. This paper presents a data mining method applied to the time price series in order to generate buy and sell decisions using computational algorithms. It was found that an original data mining method based on the price cyclicality function gives us an important profit edge when it is about the capital investments on the short and medium term. The Cyclical Trading Method will be presented together with the main principles and practices to design and optimize trading software. Test results are also included in this article in order to compare the presented method with other known methodologies to trade the capital markets.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75838969","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 : 2018-12-30DOI: 10.12948/ISSN14531305/22.4.2018.06
Eduard Budacu, Paul Pocatilu
In order to track the improvements of agile teams, a system of metrics and indicators is very important to be implemented. Agile Software Development (ASD) promotes working software as the primary way of measuring progress. The current set of metrics are more output oriented rather than using lines of code to estimate productivity. This paper presents the results of a background research in order to identify the most important metrics, indicators, measures and tools software development teams use in relation with agile-based methodologies. The paper also presents a case study based on data gathered in a software outsourcing company. The paper proposes an architecture of an automated system used to provide real-time metrics for measuring agile team performance.
{"title":"Real Time Agile Metrics for Measuring Team Performance","authors":"Eduard Budacu, Paul Pocatilu","doi":"10.12948/ISSN14531305/22.4.2018.06","DOIUrl":"https://doi.org/10.12948/ISSN14531305/22.4.2018.06","url":null,"abstract":"In order to track the improvements of agile teams, a system of metrics and indicators is very important to be implemented. Agile Software Development (ASD) promotes working software as the primary way of measuring progress. The current set of metrics are more output oriented rather than using lines of code to estimate productivity. This paper presents the results of a background research in order to identify the most important metrics, indicators, measures and tools software development teams use in relation with agile-based methodologies. The paper also presents a case study based on data gathered in a software outsourcing company. The paper proposes an architecture of an automated system used to provide real-time metrics for measuring agile team performance.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90362274","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 : 2018-12-30DOI: 10.12948/issn14531305/22.4.2018.04
F. Covaci
The purpose of this paper is to review the different concepts and approaches regarding automated supply chain formation (SCF) in order to create a theoretical framework and identify gaps in existing research in SCF regarding the complexity of practical implementation in the context of Industry 4.0. The research is conducted through analyzing three perspectives regard-ing the complexity of the SCF process: 1) the existence of a central authority, 2) the mecha-nisms employed for communication between entities in the supply chain, 3) one/multi-unit dimension for the traded goods. A theoretical framework was created and the following gaps and issues were identified in the existing research literature: 1) Parameters used in order to pair-wise suppliers/consumers are limited. 2) The resulted supply chains are assessed mainly using a profit optimization function for the end-consumer. 3) The possible risks associated with participating entities in the supply chain are not considered.
{"title":"Automated Supply Chain Formation – A Theoretical Framework","authors":"F. Covaci","doi":"10.12948/issn14531305/22.4.2018.04","DOIUrl":"https://doi.org/10.12948/issn14531305/22.4.2018.04","url":null,"abstract":"The purpose of this paper is to review the different concepts and approaches regarding automated supply chain formation (SCF) in order to create a theoretical framework and identify gaps in existing research in SCF regarding the complexity of practical implementation in the context of Industry 4.0. The research is conducted through analyzing three perspectives regard-ing the complexity of the SCF process: 1) the existence of a central authority, 2) the mecha-nisms employed for communication between entities in the supply chain, 3) one/multi-unit dimension for the traded goods. A theoretical framework was created and the following gaps and issues were identified in the existing research literature: 1) Parameters used in order to pair-wise suppliers/consumers are limited. 2) The resulted supply chains are assessed mainly using a profit optimization function for the end-consumer. 3) The possible risks associated with participating entities in the supply chain are not considered.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73162887","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：