There are several examples of spaces of univariate functions for which we have a characterization of all sets of knots which are poised for the interpolation problem. For the standard spaces of univariate polynomials,...There are several examples of spaces of univariate functions for which we have a characterization of all sets of knots which are poised for the interpolation problem. For the standard spaces of univariate polynomials, or spline functions the mentioned results are well-known. In contrast with this, there are no such results in the bivariate case. As an exception, one may consider only the Pascal classic theorem, in the interpolation theory interpretation. In this paper, we consider a space of bivariate piecewise linear functions, for which we can readily find out whether the given node set is poised or not. The main tool we use for this purpose is the reduction by a basic subproblem, introduced in this paper.展开更多
Financial uncertainties test the management expertise of Agricultural Bank of China before it becomes listed on China’s stock markets Agricultural Bank of China Ltd.
Wearing a string of pearls and an earnest expression, Monica Lewinsky made her television debut (初次登场) Saturday, looking at least as comfortable under questioning as the president, his golfing buddy(打高尔夫球的伙...Wearing a string of pearls and an earnest expression, Monica Lewinsky made her television debut (初次登场) Saturday, looking at least as comfortable under questioning as the president, his golfing buddy(打高尔夫球的伙伴) and his aide (助手). From the moment she lifted one hand and said, "I do," during her swearing-in, the 25-year old former White House intern appeared confident, composed and utterly prepared for her starring role in the U. S. Senate impeachment trial of President Clinton. Lewinsky’s responses to her questioner,展开更多
Hunan is acclaimed as the'Hometown of nonferrous metals'.According to statistics,there are 37 varieties of nonferrous metals with proven reserve in Hunan Province,wherein ensured reserve of nonferrous metals s...Hunan is acclaimed as the'Hometown of nonferrous metals'.According to statistics,there are 37 varieties of nonferrous metals with proven reserve in Hunan Province,wherein ensured reserve of nonferrous metals such as tungsten,bismuth,and antimony enjoy advantages in the national and even global context,reserves of tin,lead,zinc,vanadium,and rubidium rank top nationwide.By展开更多
Exports gain in value and volumeFrom January to Augest, China’s fabric exports volume rose 7.28 percent from a year earlier to 12.503 billion metres; Exports value rose 17.55 percent from a year earlier to 13.686 bil...Exports gain in value and volumeFrom January to Augest, China’s fabric exports volume rose 7.28 percent from a year earlier to 12.503 billion metres; Exports value rose 17.55 percent from a year earlier to 13.686 billion USD; And the unit price jumped to 1.09 USD/metre,展开更多
[目的]以构建广东省东莞市生态网络格局为目标,评估生态廊道重要性以及识别生态廊道夹点、障碍点,确定生态保护修复的关键区域,提出相应生态修复策略,为后续相关国土空间规划与相关专项规划的编制和调整提供科学依据。[方法]基于传统的...[目的]以构建广东省东莞市生态网络格局为目标,评估生态廊道重要性以及识别生态廊道夹点、障碍点,确定生态保护修复的关键区域,提出相应生态修复策略,为后续相关国土空间规划与相关专项规划的编制和调整提供科学依据。[方法]基于传统的“生态源识别—建立阻力面—提取生态廊道”研究思路,加入城市大数据兴趣点(points of interest,POIs),弥补生态源地识别与阻力面构建精度不足的问题,再通过电路理论识别区域生态廊道与生态夹点、障碍点,从而构建东莞市整体生态网络格局。[结果](1)共识别生态源29处,占研究区面积20.45%,主要位于东莞市南部片区;(2)共生成生态廊道74条,其中潜在生态廊道12条,水乡片区以及市域边缘区生态廊道需要重点关注与保护。[结论]东莞市南部生态条件较好,生态源地较为集中,但城市边缘区以及北部水乡片区生态夹点与障碍点较多,需要进行重点生态修复与维护。展开更多
活力是评价城市空间品质的重要指标,也是城市空间品质提升的目标之一。城市是一个复杂的巨系统,城市的活力也因此受到多元、复杂的各种因素的影响。聚焦于街道/乡镇这一基本行政空间单元,运用ESDA(exploratory spatial data analysis)方...活力是评价城市空间品质的重要指标,也是城市空间品质提升的目标之一。城市是一个复杂的巨系统,城市的活力也因此受到多元、复杂的各种因素的影响。聚焦于街道/乡镇这一基本行政空间单元,运用ESDA(exploratory spatial data analysis)方法,结合信息熵模型,对上海市城市活力区域进行了识别评估,对其驱动因素进行了分析,并可用于对未来结果的预测。研究发现城市活力受到功能混合度、常住人口分布、交通可达性、公共交通服务水平、设施供给密度的显著影响,并基于以上研究结果试提出了相应的规划设计建议。展开更多
The use of rodenticides in Gaza in the past years becomes easy due to rodent outbreak. The municipalities allow the use of rodenticides without quality control or technical supports. This situation leads to an easy pu...The use of rodenticides in Gaza in the past years becomes easy due to rodent outbreak. The municipalities allow the use of rodenticides without quality control or technical supports. This situation leads to an easy purchasing of zinc phosphide or its analog. This resulted in acute poising among adults and children. Herein we reported an accidental zinc phosphide poisoning to an adult man and discussed the associated medical complications with this case. Gastric lavage followed by atropine and vitamin K gavage on the 1st day of poisoning (hospital admission) resulted in a slight improvement of the case. Clinical symptoms included severe abdominal colic without losing conscious. Complete blood count (CBC) showed elevated levels of white blood cells (WBCs) and granulocytes (GRAN) levels indicating medical complication of the case. Biochemical analysis showed elevated levels of liver and cardiac biomarkers indicating potential liver and heart injuries. Continuous gavage of vitamin K, resulted in a gradual improvement of the case. On the 4th day of medical period, abdominal colic disappeared and CBC parameters became near the reference range. Consequently, the patient was set free from the hospital.展开更多
The Jamesian style of poise and exquisiteness, and his notion of structural balance and his superb craftsmanship, is bril-liantly exemplified by The Portrait of a Lady, a work to be appreciated endlessly. This paper s...The Jamesian style of poise and exquisiteness, and his notion of structural balance and his superb craftsmanship, is bril-liantly exemplified by The Portrait of a Lady, a work to be appreciated endlessly. This paper studies the artistic genius of HenryJames, as it attains a great height in this early masterpiece.展开更多
Quantifying the degree of urban function mix has great signifi cance to both urban planning practices and studies. This paper, fi rst of all, based on the data of points of interest(POIs), analyzes the spatial distrib...Quantifying the degree of urban function mix has great signifi cance to both urban planning practices and studies. This paper, fi rst of all, based on the data of points of interest(POIs), analyzes the spatial distribution patterns of urban functions in Beijing. Then according to the taxi GPS data with the origin and destination points(taxi-ODs), we identify the spatial and temporal pattern of the degree of urban function mix in Beijing. Finally, based on the information entropy model of the POIs and taxi-ODs, we establish a spatial entropy and a temporal entropy to quantitatively assess the degree of urban function mix, confirming by virtue of correlation analysis and regression analysis that the spatial entropy of POIs is closely associated with the temporal entropy of taxi-ODs, which proves that it is reasonable to assess the degree of urban function mix via these two entropies. As a result, the degree of urban function mix in Beijing is characterized by slowly decreasing from its core area along the 3rd and 4th Ring Roads to its periphery. In detail, there is the highest degree of urban function mix in Beijing's traditional core areas, including Zhongguancun, CBD(Central Business District), the Old Dongcheng District, the Old Xicheng District, and the area within the 2nd Ring Road; a higher degree in Wangjing area; and a low degree in Tiantongyuan and Huilongguan communities. The analytical results have initially achieved a more accurate identifi cation and quantitative evaluation on the degree of urban function mix, and can be taken as a supporting tool to analyze the comprehensiveness of urban functions.展开更多
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,usin...Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,using Machine Learning(ML)algorithms to predict passengers’trip purpose from Smart Card(SC)data and Points-of-Interest(POIs)data.The feasibility of the framework is demonstrated in two phases.Phase I focuses on extracting activities from individuals’daily travel patterns from smart card data and combining them with POIs using the proposed“activity-POIs consolidation algorithm”.Phase II feeds the extracted features into an Artificial Neural Network(ANN)with multiple scenarios and predicts trip purpose under primary activities(home and work)and secondary activities(entertainment,eating,shopping,child drop-offs/pick-ups and part-time work)with high accuracy.As a case study,the proposed ActivityNET framework is applied in Greater London and illustrates a robust competence to predict trip purpose.The promising outcomes demonstrate that the cost-effective framework offers high predictive accuracy and valuable insights into transport planning.展开更多
Population spatialization is widely used for spatially downscaling census population data to finer-scale.The core idea of modern population spatialization is to establish the association between ancillary data and pop...Population spatialization is widely used for spatially downscaling census population data to finer-scale.The core idea of modern population spatialization is to establish the association between ancillary data and population at the administrative-unit-level(AUlevel)and transfer it to generate the gridded population.However,the statistical characteristic of attributes at the pixel-level differs from that at the AU-level,thus leading to prediction bias via the cross-scale modeling(i.e.scale mismatch problem).In addition,integrating multi-source data simply as covariates may underutilize spatial semantics,and lead to incorrect population disaggregation;while neglecting the spatial autocorrelation of population generates excessively heterogeneous population distribution that contradicts to real-world situation.To address the scale mismatch in downscaling,this paper proposes a Cross-Scale Feature Construction(CSFC)method.More specifically,by grading pixel-level attributes,we construct the feature vector of pixel grade proportions to narrow the scale differences in feature representation between AU-level and pixel-level.Meanwhile,fine-grained building patch and mobile positioning data are utilized to adjust the population weighting layer generated from POI-density-based regression modeling.Spatial filtering is furtherly adopted to model the spatial autocorrelation effect of population and reduce the heterogeneity in population caused by pixel-level attribute discretization.Through the comparison with traditional feature construction method and the ablation experiments,the results demonstrate significant accuracy improvements in population spatialization and verify the effectiveness of weight correction steps.Furthermore,accuracy comparisons with WorldPop and GPW datasets quantitatively illustrate the advantages of the proposed method in fine-scale population spatialization.展开更多
文摘There are several examples of spaces of univariate functions for which we have a characterization of all sets of knots which are poised for the interpolation problem. For the standard spaces of univariate polynomials, or spline functions the mentioned results are well-known. In contrast with this, there are no such results in the bivariate case. As an exception, one may consider only the Pascal classic theorem, in the interpolation theory interpretation. In this paper, we consider a space of bivariate piecewise linear functions, for which we can readily find out whether the given node set is poised or not. The main tool we use for this purpose is the reduction by a basic subproblem, introduced in this paper.
文摘Financial uncertainties test the management expertise of Agricultural Bank of China before it becomes listed on China’s stock markets Agricultural Bank of China Ltd.
文摘Wearing a string of pearls and an earnest expression, Monica Lewinsky made her television debut (初次登场) Saturday, looking at least as comfortable under questioning as the president, his golfing buddy(打高尔夫球的伙伴) and his aide (助手). From the moment she lifted one hand and said, "I do," during her swearing-in, the 25-year old former White House intern appeared confident, composed and utterly prepared for her starring role in the U. S. Senate impeachment trial of President Clinton. Lewinsky’s responses to her questioner,
文摘Hunan is acclaimed as the'Hometown of nonferrous metals'.According to statistics,there are 37 varieties of nonferrous metals with proven reserve in Hunan Province,wherein ensured reserve of nonferrous metals such as tungsten,bismuth,and antimony enjoy advantages in the national and even global context,reserves of tin,lead,zinc,vanadium,and rubidium rank top nationwide.By
文摘Exports gain in value and volumeFrom January to Augest, China’s fabric exports volume rose 7.28 percent from a year earlier to 12.503 billion metres; Exports value rose 17.55 percent from a year earlier to 13.686 billion USD; And the unit price jumped to 1.09 USD/metre,
文摘[目的]以构建广东省东莞市生态网络格局为目标,评估生态廊道重要性以及识别生态廊道夹点、障碍点,确定生态保护修复的关键区域,提出相应生态修复策略,为后续相关国土空间规划与相关专项规划的编制和调整提供科学依据。[方法]基于传统的“生态源识别—建立阻力面—提取生态廊道”研究思路,加入城市大数据兴趣点(points of interest,POIs),弥补生态源地识别与阻力面构建精度不足的问题,再通过电路理论识别区域生态廊道与生态夹点、障碍点,从而构建东莞市整体生态网络格局。[结果](1)共识别生态源29处,占研究区面积20.45%,主要位于东莞市南部片区;(2)共生成生态廊道74条,其中潜在生态廊道12条,水乡片区以及市域边缘区生态廊道需要重点关注与保护。[结论]东莞市南部生态条件较好,生态源地较为集中,但城市边缘区以及北部水乡片区生态夹点与障碍点较多,需要进行重点生态修复与维护。
文摘活力是评价城市空间品质的重要指标,也是城市空间品质提升的目标之一。城市是一个复杂的巨系统,城市的活力也因此受到多元、复杂的各种因素的影响。聚焦于街道/乡镇这一基本行政空间单元,运用ESDA(exploratory spatial data analysis)方法,结合信息熵模型,对上海市城市活力区域进行了识别评估,对其驱动因素进行了分析,并可用于对未来结果的预测。研究发现城市活力受到功能混合度、常住人口分布、交通可达性、公共交通服务水平、设施供给密度的显著影响,并基于以上研究结果试提出了相应的规划设计建议。
文摘The use of rodenticides in Gaza in the past years becomes easy due to rodent outbreak. The municipalities allow the use of rodenticides without quality control or technical supports. This situation leads to an easy purchasing of zinc phosphide or its analog. This resulted in acute poising among adults and children. Herein we reported an accidental zinc phosphide poisoning to an adult man and discussed the associated medical complications with this case. Gastric lavage followed by atropine and vitamin K gavage on the 1st day of poisoning (hospital admission) resulted in a slight improvement of the case. Clinical symptoms included severe abdominal colic without losing conscious. Complete blood count (CBC) showed elevated levels of white blood cells (WBCs) and granulocytes (GRAN) levels indicating medical complication of the case. Biochemical analysis showed elevated levels of liver and cardiac biomarkers indicating potential liver and heart injuries. Continuous gavage of vitamin K, resulted in a gradual improvement of the case. On the 4th day of medical period, abdominal colic disappeared and CBC parameters became near the reference range. Consequently, the patient was set free from the hospital.
文摘The Jamesian style of poise and exquisiteness, and his notion of structural balance and his superb craftsmanship, is bril-liantly exemplified by The Portrait of a Lady, a work to be appreciated endlessly. This paper studies the artistic genius of HenryJames, as it attains a great height in this early masterpiece.
文摘Quantifying the degree of urban function mix has great signifi cance to both urban planning practices and studies. This paper, fi rst of all, based on the data of points of interest(POIs), analyzes the spatial distribution patterns of urban functions in Beijing. Then according to the taxi GPS data with the origin and destination points(taxi-ODs), we identify the spatial and temporal pattern of the degree of urban function mix in Beijing. Finally, based on the information entropy model of the POIs and taxi-ODs, we establish a spatial entropy and a temporal entropy to quantitatively assess the degree of urban function mix, confirming by virtue of correlation analysis and regression analysis that the spatial entropy of POIs is closely associated with the temporal entropy of taxi-ODs, which proves that it is reasonable to assess the degree of urban function mix via these two entropies. As a result, the degree of urban function mix in Beijing is characterized by slowly decreasing from its core area along the 3rd and 4th Ring Roads to its periphery. In detail, there is the highest degree of urban function mix in Beijing's traditional core areas, including Zhongguancun, CBD(Central Business District), the Old Dongcheng District, the Old Xicheng District, and the area within the 2nd Ring Road; a higher degree in Wangjing area; and a low degree in Tiantongyuan and Huilongguan communities. The analytical results have initially achieved a more accurate identifi cation and quantitative evaluation on the degree of urban function mix, and can be taken as a supporting tool to analyze the comprehensiveness of urban functions.
基金This work is part of the Consumer Data Research Centre project(ES/L011840/1)funded by the UK Economic and Social Research Council(grant number 1477365).
文摘Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,using Machine Learning(ML)algorithms to predict passengers’trip purpose from Smart Card(SC)data and Points-of-Interest(POIs)data.The feasibility of the framework is demonstrated in two phases.Phase I focuses on extracting activities from individuals’daily travel patterns from smart card data and combining them with POIs using the proposed“activity-POIs consolidation algorithm”.Phase II feeds the extracted features into an Artificial Neural Network(ANN)with multiple scenarios and predicts trip purpose under primary activities(home and work)and secondary activities(entertainment,eating,shopping,child drop-offs/pick-ups and part-time work)with high accuracy.As a case study,the proposed ActivityNET framework is applied in Greater London and illustrates a robust competence to predict trip purpose.The promising outcomes demonstrate that the cost-effective framework offers high predictive accuracy and valuable insights into transport planning.
基金National Natural Science Foundation of China[Grant Nos.42090010,U20A2091,41971349,and 41930107]National Key R&D Program of China[Grant Nos.2018YFC0809800 and 2017YFB0503704].
文摘Population spatialization is widely used for spatially downscaling census population data to finer-scale.The core idea of modern population spatialization is to establish the association between ancillary data and population at the administrative-unit-level(AUlevel)and transfer it to generate the gridded population.However,the statistical characteristic of attributes at the pixel-level differs from that at the AU-level,thus leading to prediction bias via the cross-scale modeling(i.e.scale mismatch problem).In addition,integrating multi-source data simply as covariates may underutilize spatial semantics,and lead to incorrect population disaggregation;while neglecting the spatial autocorrelation of population generates excessively heterogeneous population distribution that contradicts to real-world situation.To address the scale mismatch in downscaling,this paper proposes a Cross-Scale Feature Construction(CSFC)method.More specifically,by grading pixel-level attributes,we construct the feature vector of pixel grade proportions to narrow the scale differences in feature representation between AU-level and pixel-level.Meanwhile,fine-grained building patch and mobile positioning data are utilized to adjust the population weighting layer generated from POI-density-based regression modeling.Spatial filtering is furtherly adopted to model the spatial autocorrelation effect of population and reduce the heterogeneity in population caused by pixel-level attribute discretization.Through the comparison with traditional feature construction method and the ablation experiments,the results demonstrate significant accuracy improvements in population spatialization and verify the effectiveness of weight correction steps.Furthermore,accuracy comparisons with WorldPop and GPW datasets quantitatively illustrate the advantages of the proposed method in fine-scale population spatialization.
