Structure of telescopic boom is becoming increasingly complicated, since truck crane with excellent performance, larger-ton as well as intelligence has dominated the tendency of development, enterprises home and abroad attach importance to the investigation of telescopic boom and some achievements have been obtained. So far, structure of telescopic boom with single cylinder and pinning system equipped with high intelligence and reliable performance represents the newest technology. Targeted with telescopic boom with single cylinder and pinning system, the paper builds the model of the whole telescopic boom. Secondly, the paper investigates the statics of telescopic boom, which provides strong proof for the optimization design of telescopic boom, more specifically, at the background of crane with lifting competence 25 ton(rating load), contour plot of press and displacement for each boom in all-extended condition are also studied, which contributes to strengthening design of slide-pad attached to moving boom and also confirms location of regional stress concentration for each boom. Finally, the cross-section size for the first telescopic boom is optimized by using optimization toolbox provided by MATLAB software which brings about the reducing gross weight of the whole system.
{"title":"Investigation of telescopic boom with single cylinder and pinning system for truck crane","authors":"Xiang Wen","doi":"10.1117/12.2679234","DOIUrl":"https://doi.org/10.1117/12.2679234","url":null,"abstract":"Structure of telescopic boom is becoming increasingly complicated, since truck crane with excellent performance, larger-ton as well as intelligence has dominated the tendency of development, enterprises home and abroad attach importance to the investigation of telescopic boom and some achievements have been obtained. So far, structure of telescopic boom with single cylinder and pinning system equipped with high intelligence and reliable performance represents the newest technology. Targeted with telescopic boom with single cylinder and pinning system, the paper builds the model of the whole telescopic boom. Secondly, the paper investigates the statics of telescopic boom, which provides strong proof for the optimization design of telescopic boom, more specifically, at the background of crane with lifting competence 25 ton(rating load), contour plot of press and displacement for each boom in all-extended condition are also studied, which contributes to strengthening design of slide-pad attached to moving boom and also confirms location of regional stress concentration for each boom. Finally, the cross-section size for the first telescopic boom is optimized by using optimization toolbox provided by MATLAB software which brings about the reducing gross weight of the whole system.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121123069","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}
Dechen Xing, Tingting Yan, Zhuoling Han, Jiawei Liu, Long Ma
In this paper, we construct a prediction and classification model based on neural network and K-means clustering algorithm to complete the prediction of glass composition before weathering and the classification of unknown glass. In the process of studying glass relics, we discussed the important chemical components and analyzed their influence on the properties of glass. At the same time, through the collected data, the neural network algorithm is used to train and test the data to analyze the composition content of glass before and after weathering. Then, the classification simulation of the data is carried out according to the K-means clustering algorithm. Finally, the classification results of glass relics with different chemical composition in the classification model are analyzed. We conclude that there are six classification systems for high-potassium glass and lead-barium glass. Effective classification can not only reduce the difficulty of scholars' archaeological classification, but also effectively improve the research value of glass relics.
{"title":"Research on glass relics based on neural network and K-means clustering algorithm","authors":"Dechen Xing, Tingting Yan, Zhuoling Han, Jiawei Liu, Long Ma","doi":"10.1117/12.2678966","DOIUrl":"https://doi.org/10.1117/12.2678966","url":null,"abstract":"In this paper, we construct a prediction and classification model based on neural network and K-means clustering algorithm to complete the prediction of glass composition before weathering and the classification of unknown glass. In the process of studying glass relics, we discussed the important chemical components and analyzed their influence on the properties of glass. At the same time, through the collected data, the neural network algorithm is used to train and test the data to analyze the composition content of glass before and after weathering. Then, the classification simulation of the data is carried out according to the K-means clustering algorithm. Finally, the classification results of glass relics with different chemical composition in the classification model are analyzed. We conclude that there are six classification systems for high-potassium glass and lead-barium glass. Effective classification can not only reduce the difficulty of scholars' archaeological classification, but also effectively improve the research value of glass relics.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124218100","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}
Under the context of the rapid development of artificial intelligence, the introduction of causal inference will improve the accuracy of machine analysis of data. This work aims to introduce three methods of calculating causal effect, linear regression, propensity score matching and causal forest, illuminate some about the combination of causal inference and matching-learning. Here, we substitute the dataset National Supported Work experiment by Lalonde (1986) into three methods and compare the results. We show experimentally that causal forest Causal forests can minimize data bias and obtain more accurate estimates of causal effects.
在人工智能快速发展的背景下，引入因果推理将提高机器分析数据的准确性。本文介绍了三种计算因果效应的方法:线性回归、倾向得分匹配和因果森林，并对因果推理与匹配学习相结合的一些问题进行了阐述。在这里，我们将Lalonde(1986)的数据集National Supported Work experiment替换为三种方法，并对结果进行比较。我们通过实验证明，因果森林可以最小化数据偏差，并获得更准确的因果效应估计。
{"title":"Comparison of two causal inference methods: linear regression and matching score and introduction of causal forest","authors":"Zhiqi Huang, W. Mo","doi":"10.1117/12.2679249","DOIUrl":"https://doi.org/10.1117/12.2679249","url":null,"abstract":"Under the context of the rapid development of artificial intelligence, the introduction of causal inference will improve the accuracy of machine analysis of data. This work aims to introduce three methods of calculating causal effect, linear regression, propensity score matching and causal forest, illuminate some about the combination of causal inference and matching-learning. Here, we substitute the dataset National Supported Work experiment by Lalonde (1986) into three methods and compare the results. We show experimentally that causal forest Causal forests can minimize data bias and obtain more accurate estimates of causal effects.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682094","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}
In order to reasonably evaluate the shrinkage degree of 30 cities in Liaoning Province, this paper proposes an Entropy Weight TOPSIS-Grey Correlation Analysis method. Based on the Entropy Weight TOPSIS method and Grey Correlation Degree, the evaluation model of shrinkage degree of 30 cities in Liaoning Province is constructed. Based on the data, we determine six indicators to construct an evaluation model of urban shrinkage, including population growth rate, GDP growth rate, per capita GDP, secondary and tertiary industry employment population growth rate, per capita total social consumption and per capita public budget expenditure. According to the results, the cities are classified into severe shrinkage cities, moderate shrinkage cities, mild shrinkage cities, slight shrinkage cities, and critical or growth cities. In addition, the Grey Correlation Analysis method is used to further quantitatively analyze the impact of various indicators on the shrinkage of urban population changes. We find that the total social consumption per capita and GDP per capita are highly correlated, and except for the growth rate of the employed population in the secondary and tertiary industries, the remaining four indicators are positively correlated with the population growth rate as a whole.
{"title":"Research on urban shrinkage based on entropy weight TOPSIS-grey correlation analysis method","authors":"Ziqi Chen, T. Yan, Dechen Xing, Chengnan Cheng","doi":"10.1117/12.2678970","DOIUrl":"https://doi.org/10.1117/12.2678970","url":null,"abstract":"In order to reasonably evaluate the shrinkage degree of 30 cities in Liaoning Province, this paper proposes an Entropy Weight TOPSIS-Grey Correlation Analysis method. Based on the Entropy Weight TOPSIS method and Grey Correlation Degree, the evaluation model of shrinkage degree of 30 cities in Liaoning Province is constructed. Based on the data, we determine six indicators to construct an evaluation model of urban shrinkage, including population growth rate, GDP growth rate, per capita GDP, secondary and tertiary industry employment population growth rate, per capita total social consumption and per capita public budget expenditure. According to the results, the cities are classified into severe shrinkage cities, moderate shrinkage cities, mild shrinkage cities, slight shrinkage cities, and critical or growth cities. In addition, the Grey Correlation Analysis method is used to further quantitatively analyze the impact of various indicators on the shrinkage of urban population changes. We find that the total social consumption per capita and GDP per capita are highly correlated, and except for the growth rate of the employed population in the secondary and tertiary industries, the remaining four indicators are positively correlated with the population growth rate as a whole.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133534014","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}
Lin Zhang, Tingting Yan, Dongyang Xi, Xiaodan Wang
In order to classify glass samples with known chemical composition, this paper adopts K-Means clustering analysis algorithm. By distinguishing the main element content of the two kinds of glass, we have made a subclassification under the major category. The high potassium glass is divided into high silica low potassium oxide group and low silica high potassium oxide group. Lead barium glass can be divided into low barium oxide low phosphorus pentoxide group and high barium oxide high phosphorus pentoxide group. Therefore, after the content of various elements of various glass is obtained, the grey correlation analysis model is used to make the data of each chemical component as the parent sequence and the other chemical components as the sub-sequence to solve the grey correlation coefficient of pair chemical components successively, so as to further analyze the correlation between their chemical components. Therefore, after the completion of the subclassification, it is helpful for archaeologists to distinguish the glass cultural relics after weathering. With the analysis of grey relational degree, the composition relationship of ancient glass relics can be further explored.
{"title":"Study on the correlation degree of chemical elements of glass based on grey theory","authors":"Lin Zhang, Tingting Yan, Dongyang Xi, Xiaodan Wang","doi":"10.1117/12.2678952","DOIUrl":"https://doi.org/10.1117/12.2678952","url":null,"abstract":"In order to classify glass samples with known chemical composition, this paper adopts K-Means clustering analysis algorithm. By distinguishing the main element content of the two kinds of glass, we have made a subclassification under the major category. The high potassium glass is divided into high silica low potassium oxide group and low silica high potassium oxide group. Lead barium glass can be divided into low barium oxide low phosphorus pentoxide group and high barium oxide high phosphorus pentoxide group. Therefore, after the content of various elements of various glass is obtained, the grey correlation analysis model is used to make the data of each chemical component as the parent sequence and the other chemical components as the sub-sequence to solve the grey correlation coefficient of pair chemical components successively, so as to further analyze the correlation between their chemical components. Therefore, after the completion of the subclassification, it is helpful for archaeologists to distinguish the glass cultural relics after weathering. With the analysis of grey relational degree, the composition relationship of ancient glass relics can be further explored.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116873856","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}
Commonly, it is assumed that the carrying capacity is constant in the conventional predator-prey model. In contrast, we investigate a predator-prey scenario which have a common prey in this work, the carrying capacity of the predator and the prey are variables changing with the amount of common prey which consumed by both predator and prey. We were able to establish the necessary requirements in favor of asymptotic stability globally and uniqueness of periodic solutions.
{"title":"Periodic solution of a periodic prey-predator model with variable carrying capacity","authors":"Liya Yang, Guirong Guo","doi":"10.1117/12.2678958","DOIUrl":"https://doi.org/10.1117/12.2678958","url":null,"abstract":"Commonly, it is assumed that the carrying capacity is constant in the conventional predator-prey model. In contrast, we investigate a predator-prey scenario which have a common prey in this work, the carrying capacity of the predator and the prey are variables changing with the amount of common prey which consumed by both predator and prey. We were able to establish the necessary requirements in favor of asymptotic stability globally and uniqueness of periodic solutions.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129907896","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}
Dechen Xing, Dongyang Xi, Chengnan Cheng, Yingtong Lu
In this paper, according to the definition of carbon sinks, we established a carbon sequestration model by adding parameters, and calculated the carbon sinks of 10 main trees in the sixth and seventh inventory in the state-owned forest area of Heilongjiang Province. Subsequently, we analyzed the four first-level indicators that affect the effective area of the forest, and refined them into ten second-level indicators, and established a multi-index evaluation model based on the entropy weight method to comprehensively evaluate different forests. According to the evaluation results, we constructed the fitting relationship model between forest effective area and forest assessment results. Taking 9 kinds of effective forest area as an example, we get the comprehensive evaluation index corresponding to different forest effective area. Subsequently, we discussed the model of forest effective area based on the model of planting and cutting balanced forest management plan. Based on the previous evaluation model, taking the Saihanba forest as an example, combined with the specific situation of the effective area of the Saihanba forest, a goal programming model was established, to find the transition point of the effective area of the forest and formulate a suitable management plan for forest managers.
{"title":"Forest management decision based on carbon sequestration and multi-index evaluation model","authors":"Dechen Xing, Dongyang Xi, Chengnan Cheng, Yingtong Lu","doi":"10.1117/12.2679261","DOIUrl":"https://doi.org/10.1117/12.2679261","url":null,"abstract":"In this paper, according to the definition of carbon sinks, we established a carbon sequestration model by adding parameters, and calculated the carbon sinks of 10 main trees in the sixth and seventh inventory in the state-owned forest area of Heilongjiang Province. Subsequently, we analyzed the four first-level indicators that affect the effective area of the forest, and refined them into ten second-level indicators, and established a multi-index evaluation model based on the entropy weight method to comprehensively evaluate different forests. According to the evaluation results, we constructed the fitting relationship model between forest effective area and forest assessment results. Taking 9 kinds of effective forest area as an example, we get the comprehensive evaluation index corresponding to different forest effective area. Subsequently, we discussed the model of forest effective area based on the model of planting and cutting balanced forest management plan. Based on the previous evaluation model, taking the Saihanba forest as an example, combined with the specific situation of the effective area of the Saihanba forest, a goal programming model was established, to find the transition point of the effective area of the forest and formulate a suitable management plan for forest managers.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115283525","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}
Muddy children puzzle is a well-spread mathematical puzzle. It can be solved by two ways, which are Kripke Structure and true and false statement. The model checking problem is solved by searching the state space of the system. Ideally, the verification is completely automatic. The main challenge is the state explosion problem. The problem occurs in systems with many components that can interact with each other, so that the number of global states can be enormous. This paper observes that any propositional planning problem can be modeled as an LTL model checking problem as any propositional goal g can be expressed in the form of a counterexample to the temporal formula in LTL. If the problem is solvable, the LTL model checker will return a counterexample, which manifests a solution for the planning problem. This paper shows that the puzzle is solvable for any number of agents if and only if the quantifier in the announcement is positively active (satisfies a form of variety).
{"title":"Research on the muddy children puzzle problem","authors":"Alysa Xu","doi":"10.1117/12.2679586","DOIUrl":"https://doi.org/10.1117/12.2679586","url":null,"abstract":"Muddy children puzzle is a well-spread mathematical puzzle. It can be solved by two ways, which are Kripke Structure and true and false statement. The model checking problem is solved by searching the state space of the system. Ideally, the verification is completely automatic. The main challenge is the state explosion problem. The problem occurs in systems with many components that can interact with each other, so that the number of global states can be enormous. This paper observes that any propositional planning problem can be modeled as an LTL model checking problem as any propositional goal g can be expressed in the form of a counterexample to the temporal formula in LTL. If the problem is solvable, the LTL model checker will return a counterexample, which manifests a solution for the planning problem. This paper shows that the puzzle is solvable for any number of agents if and only if the quantifier in the announcement is positively active (satisfies a form of variety).","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114495536","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}
Through the construction of urban shrinkage evaluation indicators, we analyze 30 cities in Liaoning Province. We divide the degree of urban shrinkage according to the evaluation index system. Through the construction of population economic elasticity model, quantitative analysis is made on the impact of various factors in the economic society on the population change of the shrinking city. The results show that there are 5 prefecture-level cities and 13 county-level cities with moderate shrinkage, and 6 prefecture-level cities with severe shrinkage. Liaoning's economic growth of 1%, the population size will be reduced by 2%, indicating that most cities in Liaoning Province are smart shrinking cities. In addition, 12 typical shrinking cities are selected as the main research objects. After 12 time series pass the rank comparison test, a mathematical model is established based on GM (1,1) grey prediction model. Then we predict the urban comprehensive index and urban shrinkage of 12 prefecture level cities.
{"title":"Identification and trend analysis of urban shrinkage in Liaoning province based on grey theory","authors":"Weihao Zhang, T. Yan, Zihao Tan, Ziyan Wang","doi":"10.1117/12.2678961","DOIUrl":"https://doi.org/10.1117/12.2678961","url":null,"abstract":"Through the construction of urban shrinkage evaluation indicators, we analyze 30 cities in Liaoning Province. We divide the degree of urban shrinkage according to the evaluation index system. Through the construction of population economic elasticity model, quantitative analysis is made on the impact of various factors in the economic society on the population change of the shrinking city. The results show that there are 5 prefecture-level cities and 13 county-level cities with moderate shrinkage, and 6 prefecture-level cities with severe shrinkage. Liaoning's economic growth of 1%, the population size will be reduced by 2%, indicating that most cities in Liaoning Province are smart shrinking cities. In addition, 12 typical shrinking cities are selected as the main research objects. After 12 time series pass the rank comparison test, a mathematical model is established based on GM (1,1) grey prediction model. Then we predict the urban comprehensive index and urban shrinkage of 12 prefecture level cities.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557515","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}
Combining nonlinear programming and least squares method, this paper proposes a two-stage mixed fuzzy linear regression model based on distance criterion. In order to ensure that the error of fuzzy estimated value and fuzzy observation value can be reduced when the explanatory variable is a clear number, the fuzzy regression model has a fuzzy adjustment term in addition to the clear regression coefficient. Firstly, based on the distance criterion, a nonlinear programming model is established to obtain the regression coefficient of the explanatory variables, and the fuzzy adjustment term is obtained based on the distance criterion and the least square method. Compared with the existing methods that cannot determine the sign of the coefficient, the method can accurately determine the sign of the regression coefficient. Finally, it is verified that the model has smaller mean square error and higher reliability than other models through a large number of numerical experiments and practical examples.
{"title":"Estimation of parameters for two-stage mixed fuzzy linear regression models","authors":"Xiaoli Xu, Pingping Zhang","doi":"10.1117/12.2679155","DOIUrl":"https://doi.org/10.1117/12.2679155","url":null,"abstract":"Combining nonlinear programming and least squares method, this paper proposes a two-stage mixed fuzzy linear regression model based on distance criterion. In order to ensure that the error of fuzzy estimated value and fuzzy observation value can be reduced when the explanatory variable is a clear number, the fuzzy regression model has a fuzzy adjustment term in addition to the clear regression coefficient. Firstly, based on the distance criterion, a nonlinear programming model is established to obtain the regression coefficient of the explanatory variables, and the fuzzy adjustment term is obtained based on the distance criterion and the least square method. Compared with the existing methods that cannot determine the sign of the coefficient, the method can accurately determine the sign of the regression coefficient. Finally, it is verified that the model has smaller mean square error and higher reliability than other models through a large number of numerical experiments and practical examples.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121778176","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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