OpenStreetMap(OSM)is a dataset in constant change and this dynamic needs to be better understood.Based on 12-year time series of seven OSM data contribution activities extracted from 20 large cities worldwide,we inves...OpenStreetMap(OSM)is a dataset in constant change and this dynamic needs to be better understood.Based on 12-year time series of seven OSM data contribution activities extracted from 20 large cities worldwide,we investigate the temporal dynamic of OSM data production,more specifically,the auto-and cross-correlation,temporal trend,and annual seasonality of these activities.Furthermore,we evaluate and compare nine different temporal regression methods for forecasting such activities in horizons of 1–4 weeks.Several insights could be obtained from our analyses,including that the contribution activities tend to grown linearly in a moderate intra-annual cycle.Also,the performance of the temporal forecasting methods shows that they yield in general more accurate estimations of future contribution activities than a baseline metric,i.e.the arithmetic average of recent previous observations.In particular,the well-known ARIMA and the exponentially weighted moving average methods have shown the best performances.展开更多
为了克服开放街道地图数据的空间异质性特征对其在数据匹配、更新等方面应用所造成的影响,提出一种基于指标相关性的指标权重确定算法(Criteria Importan ce Through Inter-criteria Correlation,简称CRITIC)的开放街道地图面实体匹配...为了克服开放街道地图数据的空间异质性特征对其在数据匹配、更新等方面应用所造成的影响,提出一种基于指标相关性的指标权重确定算法(Criteria Importan ce Through Inter-criteria Correlation,简称CRITIC)的开放街道地图面实体匹配方法。该方法充分考虑开放街道地图数据的空间异质性,在开放街道地图中面实体与其他数据进行匹配时,引入CRITIC算法计算开放街道地图数据中每个面要素几何相似因子的权重,避免了对匹配数据集中的所有面实体采用相同的相似因子权重,减少了人为定权方法所带来的主观性及局限性,提高了开放街道地图面实体与其他数据集的匹配精度。实验结果表明,该方法有效地克服了开放街道地图数据的空间异质性特点对匹配精度的影响,提升了开放街道地图中面实体与其他面实体数据的匹配精度,匹配的准确率、召回率和F1分数分别达到97.56%、98.04%和97.80%,均优于对比方法。展开更多
目的探讨白血病抑制因子受体(leukemia inhibitory factor receptor,LIFR)在非ST段抬高型心肌梗死(non-ST-segment elevation myocardial infarction,NSTEMI)患者中的表达情况及其与心肌重构的可能关联。方法前瞻性选取2023年1月至2024...目的探讨白血病抑制因子受体(leukemia inhibitory factor receptor,LIFR)在非ST段抬高型心肌梗死(non-ST-segment elevation myocardial infarction,NSTEMI)患者中的表达情况及其与心肌重构的可能关联。方法前瞻性选取2023年1月至2024年11月于武汉大学人民医院行冠状动脉造影的急性心肌梗死患者188例,根据是否诊断为NSTEMI分为对照组94例和NSTEMI组94例。收集患者一般临床资料,采用线性回归分析LIFR及与其他指标的相关性。结果与对照组比较,NSTEMI组吸烟史、LIFR、N末端B型钠尿肽前体、肌钙蛋白I、肌酐、尿酸、白细胞计数显著升高,左心室射血分数显著降低,差异有统计学意义[48.94%vs 13.83%,P<0.01;5.82(4.23,8.11)mmol/L vs 0.97(0.60,1.41)mmol/L,P<0.01;2.53(1.24,9.71)pg/L vs 0.03(0.02,0.04),P<0.01;18.57(4.11,250.00)ng/L vs 0.00(0.00,0.00)ng/L,P<0.01;82.50(68.00,121.25)μmol/L vs 68.50(53.00,88.25)μmol/L,P<0.01;411.00(349.00,521.25)μmol/L vs 337.00(286.75,406.00)μmol/L,P<0.01;10.21(8.71,13.09)×10~9/L vs 6.22(4.67,7.46)×10~9/L,P<0.01;47.00(38.00,54.00)%vs 59.00(56.00,60.00)%,P<0.01]。心肌梗死患者血清LIFR与N末端B型钠尿肽前体、肌钙蛋白I及白细胞计数呈正相关(β=1.403,95%CI:10597.867~17327.087,P=0.000;β=0.232,95%CI:114.558~1769.808,P=0.026;β=0.336,95%CI:0.164~0.617,P=0.001)。结论LIFR可能通过炎症参与心肌梗死后心肌重构和心力衰竭的发展。展开更多
文摘进行城市复杂空间结构的解析,识别城市功能设施的分布特征及区域城市功能区类型,可为优化城市空间布局和促进可持续发展提供数据支持.以合肥辖区为研究对象,参考TF-IDF(Term Frequency-Inverse Document Frequency)算法思想,融合OSM(Open Street Map)数据与POI(Point of Interest)数据进行城市功能区的识别.首先使用平均最近邻、热点分析探究POI空间分布模式;再利用OSM数据对研究区分割,获得相互独立且具有社会经济功能的基本研究单元,采用TF-IDF算法对POI数据加权,同时结合频率密度占比对城市功能区识别划分,比较并分析不同功能区的空间分布特征.结果表明:各类POI均呈现出明显的集聚分布特征,公共、居住、商服3类POI的冷热点空间集聚模式较为相似,但商服POI集聚程度更高.城市功能区包括21类功能区类型,绿地、交通相关功能区集中在局部重点区域,公共、商服、居住功能区的空间分布关联较为紧密,工业功能区的分布与合肥工业开发区高度契合.整体识别结果与合肥的实际情况一致.
文摘OpenStreetMap(OSM)is a dataset in constant change and this dynamic needs to be better understood.Based on 12-year time series of seven OSM data contribution activities extracted from 20 large cities worldwide,we investigate the temporal dynamic of OSM data production,more specifically,the auto-and cross-correlation,temporal trend,and annual seasonality of these activities.Furthermore,we evaluate and compare nine different temporal regression methods for forecasting such activities in horizons of 1–4 weeks.Several insights could be obtained from our analyses,including that the contribution activities tend to grown linearly in a moderate intra-annual cycle.Also,the performance of the temporal forecasting methods shows that they yield in general more accurate estimations of future contribution activities than a baseline metric,i.e.the arithmetic average of recent previous observations.In particular,the well-known ARIMA and the exponentially weighted moving average methods have shown the best performances.
文摘为了克服开放街道地图数据的空间异质性特征对其在数据匹配、更新等方面应用所造成的影响,提出一种基于指标相关性的指标权重确定算法(Criteria Importan ce Through Inter-criteria Correlation,简称CRITIC)的开放街道地图面实体匹配方法。该方法充分考虑开放街道地图数据的空间异质性,在开放街道地图中面实体与其他数据进行匹配时,引入CRITIC算法计算开放街道地图数据中每个面要素几何相似因子的权重,避免了对匹配数据集中的所有面实体采用相同的相似因子权重,减少了人为定权方法所带来的主观性及局限性,提高了开放街道地图面实体与其他数据集的匹配精度。实验结果表明,该方法有效地克服了开放街道地图数据的空间异质性特点对匹配精度的影响,提升了开放街道地图中面实体与其他面实体数据的匹配精度,匹配的准确率、召回率和F1分数分别达到97.56%、98.04%和97.80%,均优于对比方法。
文摘目的探讨白血病抑制因子受体(leukemia inhibitory factor receptor,LIFR)在非ST段抬高型心肌梗死(non-ST-segment elevation myocardial infarction,NSTEMI)患者中的表达情况及其与心肌重构的可能关联。方法前瞻性选取2023年1月至2024年11月于武汉大学人民医院行冠状动脉造影的急性心肌梗死患者188例,根据是否诊断为NSTEMI分为对照组94例和NSTEMI组94例。收集患者一般临床资料,采用线性回归分析LIFR及与其他指标的相关性。结果与对照组比较,NSTEMI组吸烟史、LIFR、N末端B型钠尿肽前体、肌钙蛋白I、肌酐、尿酸、白细胞计数显著升高,左心室射血分数显著降低,差异有统计学意义[48.94%vs 13.83%,P<0.01;5.82(4.23,8.11)mmol/L vs 0.97(0.60,1.41)mmol/L,P<0.01;2.53(1.24,9.71)pg/L vs 0.03(0.02,0.04),P<0.01;18.57(4.11,250.00)ng/L vs 0.00(0.00,0.00)ng/L,P<0.01;82.50(68.00,121.25)μmol/L vs 68.50(53.00,88.25)μmol/L,P<0.01;411.00(349.00,521.25)μmol/L vs 337.00(286.75,406.00)μmol/L,P<0.01;10.21(8.71,13.09)×10~9/L vs 6.22(4.67,7.46)×10~9/L,P<0.01;47.00(38.00,54.00)%vs 59.00(56.00,60.00)%,P<0.01]。心肌梗死患者血清LIFR与N末端B型钠尿肽前体、肌钙蛋白I及白细胞计数呈正相关(β=1.403,95%CI:10597.867~17327.087,P=0.000;β=0.232,95%CI:114.558~1769.808,P=0.026;β=0.336,95%CI:0.164~0.617,P=0.001)。结论LIFR可能通过炎症参与心肌梗死后心肌重构和心力衰竭的发展。
