This article selects 8 main factors(the number of rural employees,total power of agricultural machinery,effective irrigation area of crops,growing area of grain crops,fertilizer consumption,electricity consumption in ...This article selects 8 main factors(the number of rural employees,total power of agricultural machinery,effective irrigation area of crops,growing area of grain crops,fertilizer consumption,electricity consumption in rural areas,area affected and area covered)as the factors influencing grain output,and offers the method of determining weight of factors influencing grain output using entropy weight method.According to the relevant data in the period 1985-2005,we analyze the weight of factors influencing grain output in China by example.The results show that the electricity consumption in rural areas has the greatest impact on grain output,followed by total power of agricultural machinery,fertilizer consumption and area covered.To increase grain output,we must enhance the degree of mechanization,free people from the former process of direct cultivation,strengthen water conservancy construction,and do a good job in disaster prevention and mitigation.展开更多
Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates t...Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates the correlation degree between the main grain varieties’ supply and demand gap and its influence factors. The results show that sown area and unit yield have the greatest impact on wheat supply and demand gap;per capita disposable income and unit yield have the greatest impact on corn supply and demand gap;per capita disposable income and agricultural mechanization level have the greatest impact on the supply and demand gap of soybean and rice. From the analysis results, we can obtain the difference between the factors affecting the grain supply and demand gap, and provide a certain theoretical basis and new ideas for the balance of grain supply and demand in China.展开更多
The experiments of single factor evaluation method, principal component analysis and voronoi area weighting factor method on the sample data of Liangzi Lake in October 2012 combined with the national surface water env...The experiments of single factor evaluation method, principal component analysis and voronoi area weighting factor method on the sample data of Liangzi Lake in October 2012 combined with the national surface water environment quality standards can get the map of comprehensive water quality distribution by Kriging interpolation. The analysis shows, the grades of comprehensive water quality gained by three methods are all only class III or class IV, and the quality of water is different from east and west that the water quality of east is better. However, the percent of IV class water is higher in the result of single factor evaluation method means class IV is the main grade of water quality. The result of principal component analysis shows the percent of class Ⅲ water is higher than other classes. The result of voronoi area weighting factor method shows the percent of IV class is higher than other classes. COD<sub>Mn</sub> is the main factor that influences the method of singal factor evaluation and reduces the grade of water quality overall. The effect of single factor is reduced by principal component analysis, and the analysis on water quality is more accurate. The voronoi area weighing factor method reduces the effect of single factor and extends the content, can make a comprehensive evaluation on water quality.展开更多
Growing regulatory demands for industrial safety and environmental protection in the chemical sector necessitate robust operational risk assessment to enhance management efficacy.Here,the HS Chemical Company is evalua...Growing regulatory demands for industrial safety and environmental protection in the chemical sector necessitate robust operational risk assessment to enhance management efficacy.Here,the HS Chemical Company is evaluated through a multidimensional framework encompassing market dynamics,macroeconomic factors,financial stability,governance,supply chains,and production safety.By integrating the Analytic Hierarchy Process(AHP)with entropy weighting,a hybrid weighting model that mitigates the limitations of singular methods is established.The analysis of this study identifies financial risk(weight:0.347)and production safety(weight:0.298)as dominant risk drivers.These quantitative insights offer a basis for resource prioritization and targeted risk mitigation strategies in chemical enterprises.展开更多
Objective:To explore factors influencing the Qi-stagnation constitution in traditional Chinese medicine(TCM)through mathematical and computational methods,aiming to early prevention and treatment of related diseases.M...Objective:To explore factors influencing the Qi-stagnation constitution in traditional Chinese medicine(TCM)through mathematical and computational methods,aiming to early prevention and treatment of related diseases.Methods:The traditional grey correlation analysis,improved with the entropy weight method and Euclidean distance,was applied to investigate factors influencing the Qi-stagnation constitution.The top five factors identified before and after the improvement were used to construct random forest models.Results:A total of 1342 Qi-stagnation constitution identification data sets were collected.The grey correlation degree of each influencing factor progressively decreased during the transition from the traditional to the improved grey correlation analysis method.The random forest model built using the traditional grey correlation analysis method achieved prediction accuracies of 75.61%for the training set and 67.99%on the validation set.The random forest model developed using the improved grey correlation analysis method achieved prediction accuracies of 89.78%on the training set and 81.64%on the validation set,outperforming the model based on the traditional methods.Conclusions:The improved grey correlation analysis method is more suitable for analyzing the influencing factors of the Qi-stagnation constitution.This study offers a new approach and is a reference for research on TCM constitutions.展开更多
The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment.Industrialization and urbanization promote social-economic development,but they also h...The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment.Industrialization and urbanization promote social-economic development,but they also have generated a series of environmental and ecological issues in this basin.Previous researches have evaluated urban resilience at the national,regional,urban agglomeration,city,and prefecture levels,but not at the watershed level.To address this research gap and elevate the Yellow River Basin’s urban resilience level,we constructed an urban resilience evaluation index system from five dimensions:industrial resilience,social resilience,environmental resilience,technological resilience,and organizational resilience.The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin.The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010,2015,and 2020.Furthermore,the grey correlation analysis method was utilized to explore the influencing factors of these differences.The results of this study are as follows:(1)the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010–2015,and significant spatial distribution differences were observed,with a higher resilience level in the eastern region and a low-medium resilience level in the western region;(2)the differences in urban resilience were noticeable,with industrial resilience and social resilience being relatively highly developed,whereas organizational resilience and environmental resilience were relatively weak;and(3)the correlation ranking of resilience influencing factors was as follows:science and technology level>administrative power>openness>market forces.This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region.展开更多
[目的/意义]学术话语权是国家文化软实力的重要体现,研究学者学术话语权,丰富和完善学者学术话语权评价理论和指标体系,有助于国家学术话语权提升。[方法/过程]本文融合传统文献指标与Altmetrics指标,构建学者学术话语权综合评价体系。...[目的/意义]学术话语权是国家文化软实力的重要体现,研究学者学术话语权,丰富和完善学者学术话语权评价理论和指标体系,有助于国家学术话语权提升。[方法/过程]本文融合传统文献指标与Altmetrics指标,构建学者学术话语权综合评价体系。以Web of Science基因编辑领域数据为例,从学者学术话语影响力和社交话语引导力两维度出发,采用集成因子分析、熵权法、TOPSIS及二维评价法等方法进行实证分析。[结果/结论]研究表明,融合Altmetrics指标的综合评价体系具有一定的可信性,其中“篇均被引”和“Patent Mentions”是影响学者学术话语权的关键指标,且社交媒体和百度百科等传播平台能有效提高学者学术话语权。展开更多
目的通过研究杀青方式和时间、干燥方式对药用植物独蒜兰Pleione bulbocodioides假鳞茎外观、显微结构和化学成分含量的影响,探索其最佳初加工工艺。方法采用烘箱直接烘干(oven direct drying,OD)、煮制10、20、30 min后烘干(boiling fo...目的通过研究杀青方式和时间、干燥方式对药用植物独蒜兰Pleione bulbocodioides假鳞茎外观、显微结构和化学成分含量的影响,探索其最佳初加工工艺。方法采用烘箱直接烘干(oven direct drying,OD)、煮制10、20、30 min后烘干(boiling for 10,20,30 min and then drying,B10D、B20D、B30D)、隔水蒸制10、20、30 min后烘干(steaming for 10,20,30 min and then drying,S10D、S20D、S30D)和冷冻干燥(freeze drying,FD)共8种方式处理独蒜兰假鳞茎,测定其2-O-葡萄糖基白及苷(dactylorhin A)、白及苷和山药素Ⅲ的含量。通过构建HPLC指纹图谱,并进行相似度分析(similarity analysis,SA)、层次聚类分析(hierarchical cluster analysis,HCA)和主成分分析(principal component analysis,PCA)评价加工方法对假鳞茎质量的影响。通过外观特征、组织结构及粉末显微结构观察,评估加工方法对假鳞茎结构的影响。以dactylorhin A、白及苷、山药素Ⅲ、醇溶性浸出物、水溶性浸出物、折干率、水分、灰分和酸不溶性灰分含量为指标,利用熵权法、层次分析法(analytic hierarchy process,AHP)和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)综合评价不同加工方法对假鳞茎品质的影响。结果8种加工方法所得样品的HPLC指纹图谱相似度为0.681~0.994。其中,FD样品的相似度最低,且HCA和PCA均将其单独归为一类,其余7种加工方法的样品则聚为另一类。通过HPLC指纹图谱24个共有峰鉴定出3个共有峰,分别为dactylorhin A(峰7)、白及苷(峰9)和山药素Ⅲ(峰15)。TOPSIS综合评价结果发现,S10D处理样品的贴近度以及dactylorhin A、白及苷和山药素Ⅲ总含量最高。结论隔水蒸制10 min后烘干是独蒜兰假鳞茎初加工的最优方法,该方法有利于活性成分保留,且工艺简便。为独蒜兰假鳞茎的规范化加工以及山慈菇药材质量标准的完善提供了重要依据。展开更多
文摘This article selects 8 main factors(the number of rural employees,total power of agricultural machinery,effective irrigation area of crops,growing area of grain crops,fertilizer consumption,electricity consumption in rural areas,area affected and area covered)as the factors influencing grain output,and offers the method of determining weight of factors influencing grain output using entropy weight method.According to the relevant data in the period 1985-2005,we analyze the weight of factors influencing grain output in China by example.The results show that the electricity consumption in rural areas has the greatest impact on grain output,followed by total power of agricultural machinery,fertilizer consumption and area covered.To increase grain output,we must enhance the degree of mechanization,free people from the former process of direct cultivation,strengthen water conservancy construction,and do a good job in disaster prevention and mitigation.
文摘Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates the correlation degree between the main grain varieties’ supply and demand gap and its influence factors. The results show that sown area and unit yield have the greatest impact on wheat supply and demand gap;per capita disposable income and unit yield have the greatest impact on corn supply and demand gap;per capita disposable income and agricultural mechanization level have the greatest impact on the supply and demand gap of soybean and rice. From the analysis results, we can obtain the difference between the factors affecting the grain supply and demand gap, and provide a certain theoretical basis and new ideas for the balance of grain supply and demand in China.
文摘The experiments of single factor evaluation method, principal component analysis and voronoi area weighting factor method on the sample data of Liangzi Lake in October 2012 combined with the national surface water environment quality standards can get the map of comprehensive water quality distribution by Kriging interpolation. The analysis shows, the grades of comprehensive water quality gained by three methods are all only class III or class IV, and the quality of water is different from east and west that the water quality of east is better. However, the percent of IV class water is higher in the result of single factor evaluation method means class IV is the main grade of water quality. The result of principal component analysis shows the percent of class Ⅲ water is higher than other classes. The result of voronoi area weighting factor method shows the percent of IV class is higher than other classes. COD<sub>Mn</sub> is the main factor that influences the method of singal factor evaluation and reduces the grade of water quality overall. The effect of single factor is reduced by principal component analysis, and the analysis on water quality is more accurate. The voronoi area weighing factor method reduces the effect of single factor and extends the content, can make a comprehensive evaluation on water quality.
文摘Growing regulatory demands for industrial safety and environmental protection in the chemical sector necessitate robust operational risk assessment to enhance management efficacy.Here,the HS Chemical Company is evaluated through a multidimensional framework encompassing market dynamics,macroeconomic factors,financial stability,governance,supply chains,and production safety.By integrating the Analytic Hierarchy Process(AHP)with entropy weighting,a hybrid weighting model that mitigates the limitations of singular methods is established.The analysis of this study identifies financial risk(weight:0.347)and production safety(weight:0.298)as dominant risk drivers.These quantitative insights offer a basis for resource prioritization and targeted risk mitigation strategies in chemical enterprises.
基金financially supported by the National Natural Science Foundation of China(Grant No.81904324 and No.82174236)。
文摘Objective:To explore factors influencing the Qi-stagnation constitution in traditional Chinese medicine(TCM)through mathematical and computational methods,aiming to early prevention and treatment of related diseases.Methods:The traditional grey correlation analysis,improved with the entropy weight method and Euclidean distance,was applied to investigate factors influencing the Qi-stagnation constitution.The top five factors identified before and after the improvement were used to construct random forest models.Results:A total of 1342 Qi-stagnation constitution identification data sets were collected.The grey correlation degree of each influencing factor progressively decreased during the transition from the traditional to the improved grey correlation analysis method.The random forest model built using the traditional grey correlation analysis method achieved prediction accuracies of 75.61%for the training set and 67.99%on the validation set.The random forest model developed using the improved grey correlation analysis method achieved prediction accuracies of 89.78%on the training set and 81.64%on the validation set,outperforming the model based on the traditional methods.Conclusions:The improved grey correlation analysis method is more suitable for analyzing the influencing factors of the Qi-stagnation constitution.This study offers a new approach and is a reference for research on TCM constitutions.
基金supported by the Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences.
文摘The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment.Industrialization and urbanization promote social-economic development,but they also have generated a series of environmental and ecological issues in this basin.Previous researches have evaluated urban resilience at the national,regional,urban agglomeration,city,and prefecture levels,but not at the watershed level.To address this research gap and elevate the Yellow River Basin’s urban resilience level,we constructed an urban resilience evaluation index system from five dimensions:industrial resilience,social resilience,environmental resilience,technological resilience,and organizational resilience.The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin.The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010,2015,and 2020.Furthermore,the grey correlation analysis method was utilized to explore the influencing factors of these differences.The results of this study are as follows:(1)the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010–2015,and significant spatial distribution differences were observed,with a higher resilience level in the eastern region and a low-medium resilience level in the western region;(2)the differences in urban resilience were noticeable,with industrial resilience and social resilience being relatively highly developed,whereas organizational resilience and environmental resilience were relatively weak;and(3)the correlation ranking of resilience influencing factors was as follows:science and technology level>administrative power>openness>market forces.This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region.
文摘[目的/意义]学术话语权是国家文化软实力的重要体现,研究学者学术话语权,丰富和完善学者学术话语权评价理论和指标体系,有助于国家学术话语权提升。[方法/过程]本文融合传统文献指标与Altmetrics指标,构建学者学术话语权综合评价体系。以Web of Science基因编辑领域数据为例,从学者学术话语影响力和社交话语引导力两维度出发,采用集成因子分析、熵权法、TOPSIS及二维评价法等方法进行实证分析。[结果/结论]研究表明,融合Altmetrics指标的综合评价体系具有一定的可信性,其中“篇均被引”和“Patent Mentions”是影响学者学术话语权的关键指标,且社交媒体和百度百科等传播平台能有效提高学者学术话语权。
文摘目的通过研究杀青方式和时间、干燥方式对药用植物独蒜兰Pleione bulbocodioides假鳞茎外观、显微结构和化学成分含量的影响,探索其最佳初加工工艺。方法采用烘箱直接烘干(oven direct drying,OD)、煮制10、20、30 min后烘干(boiling for 10,20,30 min and then drying,B10D、B20D、B30D)、隔水蒸制10、20、30 min后烘干(steaming for 10,20,30 min and then drying,S10D、S20D、S30D)和冷冻干燥(freeze drying,FD)共8种方式处理独蒜兰假鳞茎,测定其2-O-葡萄糖基白及苷(dactylorhin A)、白及苷和山药素Ⅲ的含量。通过构建HPLC指纹图谱,并进行相似度分析(similarity analysis,SA)、层次聚类分析(hierarchical cluster analysis,HCA)和主成分分析(principal component analysis,PCA)评价加工方法对假鳞茎质量的影响。通过外观特征、组织结构及粉末显微结构观察,评估加工方法对假鳞茎结构的影响。以dactylorhin A、白及苷、山药素Ⅲ、醇溶性浸出物、水溶性浸出物、折干率、水分、灰分和酸不溶性灰分含量为指标,利用熵权法、层次分析法(analytic hierarchy process,AHP)和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)综合评价不同加工方法对假鳞茎品质的影响。结果8种加工方法所得样品的HPLC指纹图谱相似度为0.681~0.994。其中,FD样品的相似度最低,且HCA和PCA均将其单独归为一类,其余7种加工方法的样品则聚为另一类。通过HPLC指纹图谱24个共有峰鉴定出3个共有峰,分别为dactylorhin A(峰7)、白及苷(峰9)和山药素Ⅲ(峰15)。TOPSIS综合评价结果发现,S10D处理样品的贴近度以及dactylorhin A、白及苷和山药素Ⅲ总含量最高。结论隔水蒸制10 min后烘干是独蒜兰假鳞茎初加工的最优方法,该方法有利于活性成分保留,且工艺简便。为独蒜兰假鳞茎的规范化加工以及山慈菇药材质量标准的完善提供了重要依据。
