Handy Putra Maslan, E. Nugroho, Fx. Hendra Prasetya
English is the language used by all countries as the main communication tool. By understanding English, young people can have the opportunity to work abroad and gain more knowledge and better job opportunities. But education in Indonesia and the willingness of young people to learn is still low, young people tend to prefer to play games rather than learn. Therefore, a game made with Augmented Reality technology was combined with a Board Game called the game "ArReadSpeed" in hopes of helping young people especially those still sitting in junior high schools (SMP) to learn while playing. This game can be played by 4 people, so we can give free time children the game "ArReadSpeed". But because currently there is a Corona pandemic, the data search and testing process must be changed by going through online classes. The purpose of this study is about how to formulate games so that it can make young people more easily learn English lessons. The formulation in it determines the gameplay, reward system, and punishment for incorrectly answering questions. After the game was finished, some junior high school children were tested and the results were that performance expectations (usability) and entertainment (pleasure) had a correlation with the variable wanting to continue to use (desire to use again).
{"title":"Augmented Reality-Based Board Game for Learning English for Junior High School Students","authors":"Handy Putra Maslan, E. Nugroho, Fx. Hendra Prasetya","doi":"10.24167/jbt.v2i2.4391","DOIUrl":"https://doi.org/10.24167/jbt.v2i2.4391","url":null,"abstract":"English is the language used by all countries as the main communication tool. By understanding English, young people can have the opportunity to work abroad and gain more knowledge and better job opportunities. But education in Indonesia and the willingness of young people to learn is still low, young people tend to prefer to play games rather than learn. Therefore, a game made with Augmented Reality technology was combined with a Board Game called the game \"ArReadSpeed\" in hopes of helping young people especially those still sitting in junior high schools (SMP) to learn while playing. This game can be played by 4 people, so we can give free time children the game \"ArReadSpeed\". But because currently there is a Corona pandemic, the data search and testing process must be changed by going through online classes. The purpose of this study is about how to formulate games so that it can make young people more easily learn English lessons. The formulation in it determines the gameplay, reward system, and punishment for incorrectly answering questions. After the game was finished, some junior high school children were tested and the results were that performance expectations (usability) and entertainment (pleasure) had a correlation with the variable wanting to continue to use (desire to use again).","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83034521","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 competition that is increasingly fierce in this era, requires companies to not only focus on profits but also focus on the needs of consumers and stakeholders. Along with the development of information technology, the company's efforts in meeting the needs of consumers and stakeholders, can be supported with the help of information systems. With the help of a well-integrated information system, companies can collect, process, analyze and store data more quickly, precisely and accurately and can maximize marketing, sales and service efforts to consumers. In CCPA and P3A, the recording of transactions and customer data is still done manually. Because of this, a financial information system and customer management were developed. Based on the results of the functionality test and the results of interviews with users, it proves that the system developed can support the performance of CCPA and P3A in terms of recording transaction data and customer data.
{"title":"Designing Financial Information Systems And Customer Management On Website-Based CCPA And P3A","authors":"Rafael Anthonio Nanda, E. Nugroho, A. Widjaja","doi":"10.24167/jbt.v2i2.4869","DOIUrl":"https://doi.org/10.24167/jbt.v2i2.4869","url":null,"abstract":"Business competition that is increasingly fierce in this era, requires companies to not only focus on profits but also focus on the needs of consumers and stakeholders. Along with the development of information technology, the company's efforts in meeting the needs of consumers and stakeholders, can be supported with the help of information systems. With the help of a well-integrated information system, companies can collect, process, analyze and store data more quickly, precisely and accurately and can maximize marketing, sales and service efforts to consumers. In CCPA and P3A, the recording of transactions and customer data is still done manually. Because of this, a financial information system and customer management were developed. Based on the results of the functionality test and the results of interviews with users, it proves that the system developed can support the performance of CCPA and P3A in terms of recording transaction data and customer data.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90114214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-31DOI: 10.11118/ejobsat.2022.001
N. Veselá, Volodymyr B. Rodchenko, D. Hampel
The geographical location of Ukraine provides a multitude of possibilities for successful investment activity. There are rich natural resources, a fertile soil and a qualified low-cost labour force. On the other hand, investors have to deal with historical ties to the Soviet Union, corruption, and political instability exacerbated by occupation of part of the territory by Russia. This paper deals with the possibility of identifying the investment attractiveness of the particular sectors in Ukraine by the level of concentration measured by the Herfindahl-Hirschman index. Accounting data of companies taken from the Orbis database are evaluated by ABC analysis and the general linear model. The results point to significant dependency of variables representing investment attractiveness on the Herfindahl-Hirschman index, where deviations are explained by sectoral specifics.
{"title":"On the Investment Attractiveness of Ukrainian Companies","authors":"N. Veselá, Volodymyr B. Rodchenko, D. Hampel","doi":"10.11118/ejobsat.2022.001","DOIUrl":"https://doi.org/10.11118/ejobsat.2022.001","url":null,"abstract":"The geographical location of Ukraine provides a multitude of possibilities for successful investment activity. There are rich natural resources, a fertile soil and a qualified low-cost labour force. On the other hand, investors have to deal with historical ties to the Soviet Union, corruption, and political instability exacerbated by occupation of part of the territory by Russia. This paper deals with the possibility of identifying the investment attractiveness of the particular sectors in Ukraine by the level of concentration measured by the Herfindahl-Hirschman index. Accounting data of companies taken from the Orbis database are evaluated by ABC analysis and the general linear model. The results point to significant dependency of variables representing investment attractiveness on the Herfindahl-Hirschman index, where deviations are explained by sectoral specifics.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44005390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-31DOI: 10.11118/ejobsat.2022.003
Michal Pšurný, Irena Antošová, J. Stávková
The aim of the paper is to determine the preferred forms of online shopping and preferred device for online shopping for different product categories by the youth consumers. The research showed that the smartphone plays not only an important role in the consumer behaviour of youth consumers, but they also frequently shop using this device. The paper also identifies the situational and demographic factors affecting online shopping based on which consumer segments were created. Cluster analysis using the K -means algorithm formed consumer segments in the online market in the Czech Republic. Four segments were defined – economically decisive from a city, emotively decisive, rationally thinking from a town, economically active. The results can be purposefully used in creating recommendations for e-shops and for their marketing management.
{"title":"Preferred Forms of Online Shopping by the Youth Generation","authors":"Michal Pšurný, Irena Antošová, J. Stávková","doi":"10.11118/ejobsat.2022.003","DOIUrl":"https://doi.org/10.11118/ejobsat.2022.003","url":null,"abstract":"The aim of the paper is to determine the preferred forms of online shopping and preferred device for online shopping for different product categories by the youth consumers. The research showed that the smartphone plays not only an important role in the consumer behaviour of youth consumers, but they also frequently shop using this device. The paper also identifies the situational and demographic factors affecting online shopping based on which consumer segments were created. Cluster analysis using the K -means algorithm formed consumer segments in the online market in the Czech Republic. Four segments were defined – economically decisive from a city, emotively decisive, rationally thinking from a town, economically active. The results can be purposefully used in creating recommendations for e-shops and for their marketing management.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42415173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-31DOI: 10.11118/ejobsat.2022.005
N. Wehrle
Renewable power generation, especially wind power and solar power, is experiencing a strong expansion worldwide and especially in Germany. With high shares of these methods of power generation, energy storage is needed to enable a demand-oriented power supply even with weather-related fluctuations in generation. Against the background of a power supply based entirely on wind and solar power, the question arises as to what total costs arise with the inclusion of storage systems, which is the subject of this article. The calculation model uses hourly resolved real data of German electricity generation from the years 2012 to 2018 to determine the required storage capacities. The electricity generation costs used range between 0.02 and 0.10 EUR/kW/h. The costs for the considered energy storages are calculated based on the Levelised Cost of Storage (LCOS) metric. It is concluded that in an electricity supply system based on wind and solar power, it is not the electricity generation that causes the greatest costs, but the storage. With electricity generation costs of 0.06 EUR/kW/h, the total system costs are in a range of 0.19 to 0.28 EUR/kW/h. This means that, in terms of costs, energy storage is more significant than electricity generation.
{"title":"The Cost of Renewable Electricity and Energy Storage in Germany","authors":"N. Wehrle","doi":"10.11118/ejobsat.2022.005","DOIUrl":"https://doi.org/10.11118/ejobsat.2022.005","url":null,"abstract":"Renewable power generation, especially wind power and solar power, is experiencing a strong expansion worldwide and especially in Germany. With high shares of these methods of power generation, energy storage is needed to enable a demand-oriented power supply even with weather-related fluctuations in generation. Against the background of a power supply based entirely on wind and solar power, the question arises as to what total costs arise with the inclusion of storage systems, which is the subject of this article. The calculation model uses hourly resolved real data of German electricity generation from the years 2012 to 2018 to determine the required storage capacities. The electricity generation costs used range between 0.02 and 0.10 EUR/kW/h. The costs for the considered energy storages are calculated based on the Levelised Cost of Storage (LCOS) metric. It is concluded that in an electricity supply system based on wind and solar power, it is not the electricity generation that causes the greatest costs, but the storage. With electricity generation costs of 0.06 EUR/kW/h, the total system costs are in a range of 0.19 to 0.28 EUR/kW/h. This means that, in terms of costs, energy storage is more significant than electricity generation.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47179110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-31DOI: 10.11118/ejobsat.2022.002
Aivars Spilbergs, Andris Fomins, M. Krastins
The aim of the study is to identity the main factors that affect claims amount paid by insurers in case of road accidents and to predict losses from valid third-party liability insurance (MTPLI) policies until their expiration. Such an assessment is essential to adequately cover MTPLI policies and ensure the sustainable development of insurance companies. The geography of the study covers the MTPLI market of Europe in the main areas, but a deeper analysis of the impact of various factors, interactions, and interrelationships in MTPLI product is focused on Latvian market data due to availability of high-quality primary data. The research is based on the analysis of primary Latvian MTPLI policies data of more than 128,000 road traffic accidents that have occurred during the time period from 2014 till 2020. Risk driver selection was performed based on the existing scientific studies and correlation analysis of the sample set. Both linear and nonlinear forms of relationships were used for modelling. A multivariate modeling was used to identify significant risk factors and to quantify their impact on loss of incidents. Statistical stability of the models was tested using chi-squared, t -tests and p -values. Validation of models calibrated where done using prediction errors measurements: mean square error (MSE), root mean squared error (RMSE), and mean absolute error (MAE) assessment both within sample and out of sample technics. The results indicated that the driver’s behavior (penalties and Bonus-Malus) as well as vehicle parameters (weight and age), had significant impacts on crash losses.
{"title":"Multivariate Modelling of Motor Third Party Liability Insurance Claims","authors":"Aivars Spilbergs, Andris Fomins, M. Krastins","doi":"10.11118/ejobsat.2022.002","DOIUrl":"https://doi.org/10.11118/ejobsat.2022.002","url":null,"abstract":"The aim of the study is to identity the main factors that affect claims amount paid by insurers in case of road accidents and to predict losses from valid third-party liability insurance (MTPLI) policies until their expiration. Such an assessment is essential to adequately cover MTPLI policies and ensure the sustainable development of insurance companies. The geography of the study covers the MTPLI market of Europe in the main areas, but a deeper analysis of the impact of various factors, interactions, and interrelationships in MTPLI product is focused on Latvian market data due to availability of high-quality primary data. The research is based on the analysis of primary Latvian MTPLI policies data of more than 128,000 road traffic accidents that have occurred during the time period from 2014 till 2020. Risk driver selection was performed based on the existing scientific studies and correlation analysis of the sample set. Both linear and nonlinear forms of relationships were used for modelling. A multivariate modeling was used to identify significant risk factors and to quantify their impact on loss of incidents. Statistical stability of the models was tested using chi-squared, t -tests and p -values. Validation of models calibrated where done using prediction errors measurements: mean square error (MSE), root mean squared error (RMSE), and mean absolute error (MAE) assessment both within sample and out of sample technics. The results indicated that the driver’s behavior (penalties and Bonus-Malus) as well as vehicle parameters (weight and age), had significant impacts on crash losses.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46048197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-31DOI: 10.11118/ejobsat.2022.004
Samuel Tolasa, Sisay Tolla Whakeshum, Negese Tamirat Mulatu
Maintaining inflation rate at optimal level is among important mechanism of balancing macroeconomic volatility to ensure steady economic growth. This study aims to examine macroeconomic determinants of inflation in Ethiopia. The study employed ARDL model using annual data for period 1981–2020. The ARDL bound test was applied to examine the presence of con-integration between inflation and independent variables. The study also uses augmented Dickey-Fuller and Phillips-Perron unit root tests to check stationarity of the variables. The test result reveals that almost all variables become stationary after the first difference. Accordingly, the result from bound test indicated existence of long run relationship between the dependent variable and explanatory variables entered into the model. The estimated error correction model (ECM) with (cid:0) 0.53 coefficient also confirms the existence of co-integration with high speed of adjustment towards the long run equilibrium. In the long run: real GDP, real effective exchange rate, lending interest rate are positive and significant determinants of inflation whereas broad money supply, real GDP, population growth, gross national saving and previous year imports are found to be the short run drivers of inflation. The finding recommends, among others, measures on reducing real effective exchange rate and utilizing broad money supply in productive economic activities along with supply side should be designed to contain inflation in Ethiopia.
{"title":"Macroeconomic Determinants of Inflation in Ethiopia: ARDL Approach to Cointegration","authors":"Samuel Tolasa, Sisay Tolla Whakeshum, Negese Tamirat Mulatu","doi":"10.11118/ejobsat.2022.004","DOIUrl":"https://doi.org/10.11118/ejobsat.2022.004","url":null,"abstract":"Maintaining inflation rate at optimal level is among important mechanism of balancing macroeconomic volatility to ensure steady economic growth. This study aims to examine macroeconomic determinants of inflation in Ethiopia. The study employed ARDL model using annual data for period 1981–2020. The ARDL bound test was applied to examine the presence of con-integration between inflation and independent variables. The study also uses augmented Dickey-Fuller and Phillips-Perron unit root tests to check stationarity of the variables. The test result reveals that almost all variables become stationary after the first difference. Accordingly, the result from bound test indicated existence of long run relationship between the dependent variable and explanatory variables entered into the model. The estimated error correction model (ECM) with (cid:0) 0.53 coefficient also confirms the existence of co-integration with high speed of adjustment towards the long run equilibrium. In the long run: real GDP, real effective exchange rate, lending interest rate are positive and significant determinants of inflation whereas broad money supply, real GDP, population growth, gross national saving and previous year imports are found to be the short run drivers of inflation. The finding recommends, among others, measures on reducing real effective exchange rate and utilizing broad money supply in productive economic activities along with supply side should be designed to contain inflation in Ethiopia.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45005422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-31DOI: 10.11118/ejobsat.2022.006
T. Nguyen, T. Tran, Dewan Ahsan
Climate change poses a serious threat for aquacultural productivity. Employing the Autoregressive Distributed Lag (ARDL) model, this research aims to evaluate the economic impact of climate change on aquaculture in Vietnam, drawing on time series data from 1981 to 2013 and including aquaculture yield, acreage, investment, labor, temperature, rainfall, and damage costs to aquaculture caused by natural disasters. The results show that aquaculture yield depends not only on the current value of inputs, but also on their lag values and the yield itself. The results also show that rainfall, storm surges and tropical cyclones negatively affect aquaculture production. After any natural disaster, it takes at least two years to recover from the repercussions for productivity and return to the previous norm. To reduce the vulnerability of aquacultural communities, this study suggests that the state could establish a climate resilience fund specifically for small and medium-scale aquaculture farmers, providing special financial support for those affected by natural disasters.
{"title":"Aquaculture Farmers' Economic Risks Due to Climate Change: Evidence from Vietnam","authors":"T. Nguyen, T. Tran, Dewan Ahsan","doi":"10.11118/ejobsat.2022.006","DOIUrl":"https://doi.org/10.11118/ejobsat.2022.006","url":null,"abstract":"Climate change poses a serious threat for aquacultural productivity. Employing the Autoregressive Distributed Lag (ARDL) model, this research aims to evaluate the economic impact of climate change on aquaculture in Vietnam, drawing on time series data from 1981 to 2013 and including aquaculture yield, acreage, investment, labor, temperature, rainfall, and damage costs to aquaculture caused by natural disasters. The results show that aquaculture yield depends not only on the current value of inputs, but also on their lag values and the yield itself. The results also show that rainfall, storm surges and tropical cyclones negatively affect aquaculture production. After any natural disaster, it takes at least two years to recover from the repercussions for productivity and return to the previous norm. To reduce the vulnerability of aquacultural communities, this study suggests that the state could establish a climate resilience fund specifically for small and medium-scale aquaculture farmers, providing special financial support for those affected by natural disasters.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46870987","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}
Pieter Theodorus Handoko, E. Nugroho, Bernadinus Harnadi
Most young people think that History is not important enough to learn and they are more likely to choose to play games. This study aims to develop the game "Indo Trivia" which is a game about the history of Indonesia, especially the history of the Hindu kingdom on the island of Java. In this game, there is a history of the Tarumanegara kingdoms, Hindu Mataram, Kediri, Singasari, and Majapahit kingdoms. This thesis report contains about how to make games as a medium of learning about history, especially history during the Hindu kingdom as well as providing a quiz about the history of Indonesia. The game development method used is the waterfall. The game testing method by proposing a hypothesis that is tested using a questionnaire test tool. a questionnaire will be given if the respondent has finished playing the game "Indo Trivia". From the results of the study, it was found that the variables of convenience, usefulness, and pleasure correlated with the variable of desire to reuse.
{"title":"Increasing Knowledge About History of Hindu Empire in Indonesia with Game “Indo Trivia”","authors":"Pieter Theodorus Handoko, E. Nugroho, Bernadinus Harnadi","doi":"10.24167/jbt.v2i1.4234","DOIUrl":"https://doi.org/10.24167/jbt.v2i1.4234","url":null,"abstract":"Most young people think that History is not important enough to learn and they are more likely to choose to play games. This study aims to develop the game \"Indo Trivia\" which is a game about the history of Indonesia, especially the history of the Hindu kingdom on the island of Java. In this game, there is a history of the Tarumanegara kingdoms, Hindu Mataram, Kediri, Singasari, and Majapahit kingdoms. This thesis report contains about how to make games as a medium of learning about history, especially history during the Hindu kingdom as well as providing a quiz about the history of Indonesia. The game development method used is the waterfall. The game testing method by proposing a hypothesis that is tested using a questionnaire test tool. a questionnaire will be given if the respondent has finished playing the game \"Indo Trivia\". From the results of the study, it was found that the variables of convenience, usefulness, and pleasure correlated with the variable of desire to reuse.","PeriodicalId":36187,"journal":{"name":"European Journal of Business Science and Technology","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79559214","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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