The productivity of academic scientific world is an important indicator for the allocation of university research funds. In order to understand the current state of research on dissertation productivity, this study organizes 21 papers on dissertation productivity published between 1986 to 2021 and compiles tables to understand research on dissertation productivity and discuss related items. The results obtained from the summary table show that case studies of papers tend to focus on one-unit influencing factors, and the analytical perspective is not comprehensive. Many papers make database decisions based on the authoritative nature of the database. It becomes clear that the method of analyzing productivity in the papers is overwhelmingly a statistical mathematical analysis. When a government or organization wants to evaluate scientific productivity, it should not focus on efficiency, but should choose the appropriate scientific productivity evaluation indicators according to the needs. The ease of data acquisition suggests that country-level scientific productivity is more suitable for qualitative analysis, while organization-level or individual-level factors are suitable for quantitative analysis studies.
{"title":"Understanding the Trend of Scientific Productivity Analysis: Literature Review of Relevant Papers","authors":"Ren Ren, Koichi Murata","doi":"10.1145/3557738.3557833","DOIUrl":"https://doi.org/10.1145/3557738.3557833","url":null,"abstract":"The productivity of academic scientific world is an important indicator for the allocation of university research funds. In order to understand the current state of research on dissertation productivity, this study organizes 21 papers on dissertation productivity published between 1986 to 2021 and compiles tables to understand research on dissertation productivity and discuss related items. The results obtained from the summary table show that case studies of papers tend to focus on one-unit influencing factors, and the analytical perspective is not comprehensive. Many papers make database decisions based on the authoritative nature of the database. It becomes clear that the method of analyzing productivity in the papers is overwhelmingly a statistical mathematical analysis. When a government or organization wants to evaluate scientific productivity, it should not focus on efficiency, but should choose the appropriate scientific productivity evaluation indicators according to the needs. The ease of data acquisition suggests that country-level scientific productivity is more suitable for qualitative analysis, while organization-level or individual-level factors are suitable for quantitative analysis studies.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117212932","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}
E-commerce has played a big part in the internet society. In this case trust is playing a big factor. The purpose of this research is to determine whether trust is a big factor in the recent decrease of the website traffic. The research will determine whether it is the main cause of the decrease of the website traffic or there is other factor that cause the decrease of the traffic.
{"title":"B2C E-Commerce Buyer Trust Measurement in Indonesia","authors":"Adre Edbert, James Purnama, I. E. Kho","doi":"10.1145/3557738.3557872","DOIUrl":"https://doi.org/10.1145/3557738.3557872","url":null,"abstract":"E-commerce has played a big part in the internet society. In this case trust is playing a big factor. The purpose of this research is to determine whether trust is a big factor in the recent decrease of the website traffic. The research will determine whether it is the main cause of the decrease of the website traffic or there is other factor that cause the decrease of the traffic.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124170468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The accumulation of waste volume in the river waters of DKI Jakarta is still a significant problem that cannot be solved optimally because the population continues to increase every year, so the tonnage of waste also increases as well as some residents of DKI Jakarta still throw garbage into the river. In predicting the level of waste volume, the DKI Jakarta Provincial Environment Agency must make decisions, so it is necessary to carry out a prediction stage regarding the increase in waste in the future. For this reason, this research performs a prediction stage by utilizing two machine learning algorithms: Linear Regression and Random Forest Regression. The experiment used historical data on waste volume transportation from January to June 2021. The experimental results showed that the Random Forest Regression had the lowest error values of 0.82 and 0.81, with a training and testing data ratio of 80%:20%. On the other hand, Linear Regression has an error value of 0.83 and 0.82 at a ratio of 80%:20%. The analysis discussed in this study can be a reference for predicting and taking the necessary actions to prevent an increase in the volume of waste in DKI Jakarta Province.
{"title":"Analysis of Waste Transportation Volume in Jakarta Province using Linear Regression and Random Forest Regression","authors":"Eka Pramudianzah, Y. S. Triana, Rahmat Budiarto","doi":"10.1145/3557738.3557876","DOIUrl":"https://doi.org/10.1145/3557738.3557876","url":null,"abstract":"The accumulation of waste volume in the river waters of DKI Jakarta is still a significant problem that cannot be solved optimally because the population continues to increase every year, so the tonnage of waste also increases as well as some residents of DKI Jakarta still throw garbage into the river. In predicting the level of waste volume, the DKI Jakarta Provincial Environment Agency must make decisions, so it is necessary to carry out a prediction stage regarding the increase in waste in the future. For this reason, this research performs a prediction stage by utilizing two machine learning algorithms: Linear Regression and Random Forest Regression. The experiment used historical data on waste volume transportation from January to June 2021. The experimental results showed that the Random Forest Regression had the lowest error values of 0.82 and 0.81, with a training and testing data ratio of 80%:20%. On the other hand, Linear Regression has an error value of 0.83 and 0.82 at a ratio of 80%:20%. The analysis discussed in this study can be a reference for predicting and taking the necessary actions to prevent an increase in the volume of waste in DKI Jakarta Province.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121195853","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}
Tuberculosis (TB) is a type of infectious disease caused by Mycobacterium tuberculosis, which not only attacks the lungs, but can also attack the bones, intestines, or glands. During the Covid-19 pandemic, TB cases in Indonesia also increased. TB and Covid-19 had the similar symptoms such as cough, fever, and breathing difficulty, so that TB sufferers must be given serious treatment to avoid Covid-19. In predicting a disease, it is important for health workers to make decisions, thus it is necessary to do an early diagnosis in order to reduce the transmission of TB in the community. There are many algorithm methods used in conducting data analysis, for this study the authors use K-Nearest Neighbor (K-NN) algorithm and Logistic Regression as comparison. Experimental results using available dataset collected from health centers in Muara Enim District of South Sumatra Province show that the K-NN algorithm provides the best accuracy of 89% on dataset with training to testing data ratio of 80%:20%, while the Logistic Regression provides the best accuracy of 96% on 70%:30% ratio. The analysis mechanism discussed in this paper may be considered as tool for the authority to predict and take necessary actions to prevent the TB spreading.
{"title":"Analysis of Tuberculosis Disease Spreading Pattern in Muara Enim District using KNN Algorithm","authors":"Rahmat Budiarto, Hilwa Lelisa, Y. S. Triana","doi":"10.1145/3557738.3557853","DOIUrl":"https://doi.org/10.1145/3557738.3557853","url":null,"abstract":"Tuberculosis (TB) is a type of infectious disease caused by Mycobacterium tuberculosis, which not only attacks the lungs, but can also attack the bones, intestines, or glands. During the Covid-19 pandemic, TB cases in Indonesia also increased. TB and Covid-19 had the similar symptoms such as cough, fever, and breathing difficulty, so that TB sufferers must be given serious treatment to avoid Covid-19. In predicting a disease, it is important for health workers to make decisions, thus it is necessary to do an early diagnosis in order to reduce the transmission of TB in the community. There are many algorithm methods used in conducting data analysis, for this study the authors use K-Nearest Neighbor (K-NN) algorithm and Logistic Regression as comparison. Experimental results using available dataset collected from health centers in Muara Enim District of South Sumatra Province show that the K-NN algorithm provides the best accuracy of 89% on dataset with training to testing data ratio of 80%:20%, while the Logistic Regression provides the best accuracy of 96% on 70%:30% ratio. The analysis mechanism discussed in this paper may be considered as tool for the authority to predict and take necessary actions to prevent the TB spreading.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper industry is an industry that has high economic value. In the past, the use of wood-based virgin pulp was still the principal ingredient in the paper production process, but with increasing global awareness of its negative impact, the paper industry has switched to using paper waste as the main raw material. The increasing adoption of technology and the cheaper recycled paper prices are driving this movement even more. Using recycled paper as its raw material goes through several more processes to be used as raw material for making fresh paper. In the production process, waste material will appear as water, plastic, sludge (mud), ink, and so on. Currently, waste management and reuse of various kinds of remaining production are still not optimal. The Paper Industry (PI) company is a paper company that produces over 40 tons of plastic waste per day from recycled paper. So far, PI has been trying to manage the waste by using an incinerator, which is then reused as a source of steam for the production process. However, the intake from the process is still insufficient and, economically, it is still more profitable to use coal as the main raw material for the boiler. This is only one of many side products that should still be reusable. Therefore, researchers want to apply Circular Economy (CE) as a solution to this problem. Circular Economy (CE) was chosen as a tool to optimize production processes, design processes, and company operations. The CE approach is projected to have an overall positive impact on the PI. With its application, PI will get an economic surplus, improve the welfare of workers and residents, and maintain environmental conditions due to waste reduction.
{"title":"Circular Economy In Recycled Paper Company","authors":"Irwan Eko Prabowo, M. Singgih","doi":"10.1145/3557738.3557835","DOIUrl":"https://doi.org/10.1145/3557738.3557835","url":null,"abstract":"The paper industry is an industry that has high economic value. In the past, the use of wood-based virgin pulp was still the principal ingredient in the paper production process, but with increasing global awareness of its negative impact, the paper industry has switched to using paper waste as the main raw material. The increasing adoption of technology and the cheaper recycled paper prices are driving this movement even more. Using recycled paper as its raw material goes through several more processes to be used as raw material for making fresh paper. In the production process, waste material will appear as water, plastic, sludge (mud), ink, and so on. Currently, waste management and reuse of various kinds of remaining production are still not optimal. The Paper Industry (PI) company is a paper company that produces over 40 tons of plastic waste per day from recycled paper. So far, PI has been trying to manage the waste by using an incinerator, which is then reused as a source of steam for the production process. However, the intake from the process is still insufficient and, economically, it is still more profitable to use coal as the main raw material for the boiler. This is only one of many side products that should still be reusable. Therefore, researchers want to apply Circular Economy (CE) as a solution to this problem. Circular Economy (CE) was chosen as a tool to optimize production processes, design processes, and company operations. The CE approach is projected to have an overall positive impact on the PI. With its application, PI will get an economic surplus, improve the welfare of workers and residents, and maintain environmental conditions due to waste reduction.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132747136","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}
PT Parama Lentum Artindo or goes by the brand “Artiplast” is a humble startup in the plastic injection business. In the second year of its journey, Artiplast needed to buy a secondhand machine with 300 tons capacity to fulfill the demand from customers. After reviewing various secondhand injection machine options in the market available to date, the alternatives are narrowed down to three machine options, which are NISSEI FE360, POTENZA PT350, and CHENHSONG JM328. Analytic Hierarchy Process (AHP) method is used for choosing the best from the three alternatives. AHP is a multicriteria decision-making technique that can help in producing the best alternatives that comply with all criteria and are weighed based on each criteria's priority. The method will be implemented using Super Decisions. For this research, there are 4 criteria with 9 sub-criteria to be assessed. Based on the data processing, it is decided that POTENZA PT350 is the best option for Artiplast, with the highest weight value of 0.441, followed by NISSEI FE360 with 0.338, and lastly CHENHSONG JM328 with 0.221.
{"title":"Analytic Hierarchy Process (AHP) Method for Choosing The Best Secondhand Injection Machine for PT PLA","authors":"Sesarius Egi Budiman, A. Pratama","doi":"10.1145/3557738.3557827","DOIUrl":"https://doi.org/10.1145/3557738.3557827","url":null,"abstract":"PT Parama Lentum Artindo or goes by the brand “Artiplast” is a humble startup in the plastic injection business. In the second year of its journey, Artiplast needed to buy a secondhand machine with 300 tons capacity to fulfill the demand from customers. After reviewing various secondhand injection machine options in the market available to date, the alternatives are narrowed down to three machine options, which are NISSEI FE360, POTENZA PT350, and CHENHSONG JM328. Analytic Hierarchy Process (AHP) method is used for choosing the best from the three alternatives. AHP is a multicriteria decision-making technique that can help in producing the best alternatives that comply with all criteria and are weighed based on each criteria's priority. The method will be implemented using Super Decisions. For this research, there are 4 criteria with 9 sub-criteria to be assessed. Based on the data processing, it is decided that POTENZA PT350 is the best option for Artiplast, with the highest weight value of 0.441, followed by NISSEI FE360 with 0.338, and lastly CHENHSONG JM328 with 0.221.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492134","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}
M. Singgih, Made Adhipartha Agung Asmara, I. M. Hakim
Service quality improvement at I Gusti Ngurah Rai International Airport in Indonesia needs to be done to improve service to passengers. This is done because the I Gusti Ngurah Rai International Airport in Indonesia is an international airport with a large number of passengers compared to other international airports. So it is necessary to improve quality to maintain airport performance and increase satisfaction and loyalty to passengers to visit I Gusti Ngurah Rai International Airport. This study, to improve airport passenger services by conducting initial analysis, namely determining the attributes of the airport passenger service level that need to be improved. The method used in this study uses the Servqual method and the Theory of Inventive Problem Solving (TRIZ) method. In this study, there are 28 service quality attributes based on 5 dimensions of service quality. Based on the service quality calculation, there are 7 positive gap attributes, 4 zero gap attributes, and 17 negative gap attributes. So, 17 service quality attributes indicate passengers are not satisfied with the services provided on these attributes. Based on the results of the method, the initial stage is an analysis using a cause-effect diagram to see the potential contradictions and causes of problems by the 17 attributes. So that 12 attributes cause contradictions in solving problems and 5 attributes that do not cause contradictions in solving problems. Attributes that cause contradictions are then analyzed using the TRIZ method using 39 engineering parameters, a contradiction matrix, and 40 inventive principles. Meanwhile, attributes that do not cause contradictions will be analyzed and solutions will be provided based on 40 inventive principles. Based on the results of the analysis carried out using TRIZ, it was found that the proposed improvements for each attribute were adjusted based on the principles of universality, segmentation, change parameters), taking out, mechanical vibration, preliminary action, and mechanics substitution.
印尼古斯提恩古拉莱国际机场的服务质量需要提高，以改善对乘客的服务。这样做是因为印度尼西亚的I Gusti Ngurah Rai国际机场是一个与其他国际机场相比有大量乘客的国际机场。因此，有必要提高质量，以保持机场的性能，提高满意度和忠诚度的旅客访问古斯提恩古拉莱国际机场。本研究通过对机场旅客服务进行初步分析，即确定需要改进的机场旅客服务水平的属性。本研究采用Servqual方法和TRIZ (Theory of Inventive Problem Solving)方法。在本研究中，基于服务质量的5个维度，共有28个服务质量属性。根据服务质量计算，有7个正差距属性，4个零差距属性，17个负差距属性。因此，17个服务质量属性表明乘客对这些属性上提供的服务不满意。根据该方法的结果，初始阶段是使用因果关系图进行分析，通过17个属性看到潜在的矛盾和问题的原因。所以12个属性在解决问题时产生矛盾5个属性在解决问题时不产生矛盾。然后使用TRIZ方法使用39个工程参数，一个矛盾矩阵和40个创造性原理来分析导致矛盾的属性。同时，根据40条发明原理，对不产生矛盾的属性进行分析并给出解决方案。基于TRIZ分析结果发现，各属性的改进建议是基于通用性、分割性、参数变化性、取出性、机械振动性、预作用性和力学替换性原则进行调整的。
{"title":"Service Quality Improvement at International Airport In Indonesia Using Service Quality And Theory Of Inventive Problem Solving (TRIZ)","authors":"M. Singgih, Made Adhipartha Agung Asmara, I. M. Hakim","doi":"10.1145/3557738.3557840","DOIUrl":"https://doi.org/10.1145/3557738.3557840","url":null,"abstract":"Service quality improvement at I Gusti Ngurah Rai International Airport in Indonesia needs to be done to improve service to passengers. This is done because the I Gusti Ngurah Rai International Airport in Indonesia is an international airport with a large number of passengers compared to other international airports. So it is necessary to improve quality to maintain airport performance and increase satisfaction and loyalty to passengers to visit I Gusti Ngurah Rai International Airport. This study, to improve airport passenger services by conducting initial analysis, namely determining the attributes of the airport passenger service level that need to be improved. The method used in this study uses the Servqual method and the Theory of Inventive Problem Solving (TRIZ) method. In this study, there are 28 service quality attributes based on 5 dimensions of service quality. Based on the service quality calculation, there are 7 positive gap attributes, 4 zero gap attributes, and 17 negative gap attributes. So, 17 service quality attributes indicate passengers are not satisfied with the services provided on these attributes. Based on the results of the method, the initial stage is an analysis using a cause-effect diagram to see the potential contradictions and causes of problems by the 17 attributes. So that 12 attributes cause contradictions in solving problems and 5 attributes that do not cause contradictions in solving problems. Attributes that cause contradictions are then analyzed using the TRIZ method using 39 engineering parameters, a contradiction matrix, and 40 inventive principles. Meanwhile, attributes that do not cause contradictions will be analyzed and solutions will be provided based on 40 inventive principles. Based on the results of the analysis carried out using TRIZ, it was found that the proposed improvements for each attribute were adjusted based on the principles of universality, segmentation, change parameters), taking out, mechanical vibration, preliminary action, and mechanics substitution.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132062112","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}
Traditionally, public procurement practices emphasize value for money, which is carried out through competitive tenders to ensure that government agencies receive the cheapest offers of goods/services. But it should not only consider economic factors; the public procurement in Indonesia is also expected not to damage the environment. However, the weak capability and knowledge of personnel causes the implementation of green procurement in government institutions has not shown significant progress. The purpose of this study is to find out what factors will be able to increase the performance of green procurement in government institutions. This study uses data from questionnaires distributed to 43 respondents from Banten, East Java, and Central Java Provinces and tests using multiple linear regression methods and Moderated Regression Analysis (MRA). Data processing shows that the awareness of procurement personnel regarding the implementation of green public procurement, training and individual awareness has a significant effect to the performance of green public procurement. In addition, training and the joining in procurement association strengthen the relationship between awareness of procurement personnel regarding to the implementation of green procurement toward performance of green public procurement. This is importance to develop personnel knowledge through training and joining procurement associations. In this way, personnel awareness regarding implementation of green procurement is able to further improve green public procurement performance.
{"title":"Influence of the Knowledge of Procurement Personnel on Implementation of Green Public Procurement: (Case Study: Banten, East Java, and Central Java Provinces)","authors":"H. Suliantoro, D. Fitriani","doi":"10.1145/3557738.3557877","DOIUrl":"https://doi.org/10.1145/3557738.3557877","url":null,"abstract":"Traditionally, public procurement practices emphasize value for money, which is carried out through competitive tenders to ensure that government agencies receive the cheapest offers of goods/services. But it should not only consider economic factors; the public procurement in Indonesia is also expected not to damage the environment. However, the weak capability and knowledge of personnel causes the implementation of green procurement in government institutions has not shown significant progress. The purpose of this study is to find out what factors will be able to increase the performance of green procurement in government institutions. This study uses data from questionnaires distributed to 43 respondents from Banten, East Java, and Central Java Provinces and tests using multiple linear regression methods and Moderated Regression Analysis (MRA). Data processing shows that the awareness of procurement personnel regarding the implementation of green public procurement, training and individual awareness has a significant effect to the performance of green public procurement. In addition, training and the joining in procurement association strengthen the relationship between awareness of procurement personnel regarding to the implementation of green procurement toward performance of green public procurement. This is importance to develop personnel knowledge through training and joining procurement associations. In this way, personnel awareness regarding implementation of green procurement is able to further improve green public procurement performance.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126605911","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：