Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent...Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent that human diseases can also be caused by copy number variations （CNVs）, especially patient- specific novel CNVs （lafrate et al., 2004; Sebat et al., 2004; Redon et al., 2006; LuDski, 2007; Zhan~ et al.. 2009： Wu et al.. 2015）.展开更多
Data User Service(DUS)offers you any data on China's population and rclated socioec onomic data--total population,age-sex composition,population density,labour force and more--to help you do demographic research,m...Data User Service(DUS)offers you any data on China's population and rclated socioec onomic data--total population,age-sex composition,population density,labour force and more--to help you do demographic research,make investments in China and so on.展开更多
This is a very attractive article. It combines fascinating new methodology with a most interesting dataset, and a highly motivating presentation. However, despite the many
The authors are to be congratulated for an innovative paper in terms of both modelling methodology and subject matter significance. The analysis of short time series is known to be
OpenStreetMap(OSM)is an essential source for acquiring building data,although such data may suffer from quality issues.Many studies have focused on assessing OSM building data quality but few have been carried out on ...OpenStreetMap(OSM)is an essential source for acquiring building data,although such data may suffer from quality issues.Many studies have focused on assessing OSM building data quality but few have been carried out on a global scale.This study aims to assess OSM building completeness(a quality measure)for 12,975 cities across the globe.This was achieved by employing population grid data as a proxy for reference building data.Not only the completeness of each city but also that of the grids within that city was assessed.The assessment results were evaluated based on calculating the overall accuracy and the r-square value between estimated and reference OSM building completeness values.Results showed that for 75%of cities,the completeness is lower than 20%;no more than 9%of cities have an estimated completeness higher than 80%.The overall accuracies of most countries were higher than 80%.The estimated completeness was also highly correlated with the reference completeness,which verifies the effectiveness of our approach.These results may be useful for acquiring and updating building data in OSM.A global and open dataset related to OSM building completeness has been made available for public use.展开更多
基金supported by the National Basic Research Program of China(No.2012CB944600)the National Key Research and Development Program of China(No.2016YFC0905100)+1 种基金the National Natural Science Foundation of China(Nos.31521003,31625015,31571297,31601046,31525014 and 91331204)the Science and Technology Commission of Shanghai Municipality(No.16YF1413900)
文摘Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent that human diseases can also be caused by copy number variations （CNVs）, especially patient- specific novel CNVs （lafrate et al., 2004; Sebat et al., 2004; Redon et al., 2006; LuDski, 2007; Zhan~ et al.. 2009： Wu et al.. 2015）.
文摘Data User Service(DUS)offers you any data on China's population and rclated socioec onomic data--total population,age-sex composition,population density,labour force and more--to help you do demographic research,make investments in China and so on.
文摘This is a very attractive article. It combines fascinating new methodology with a most interesting dataset, and a highly motivating presentation. However, despite the many
文摘The authors are to be congratulated for an innovative paper in terms of both modelling methodology and subject matter significance. The analysis of short time series is known to be
基金supported by National Natural Science Foundation of China(Grant No.41771428)the Director Fund of the International Research Center of Big Data for Sustainable Development Goals(Grant No.CBAS2022DF010).
文摘OpenStreetMap(OSM)is an essential source for acquiring building data,although such data may suffer from quality issues.Many studies have focused on assessing OSM building data quality but few have been carried out on a global scale.This study aims to assess OSM building completeness(a quality measure)for 12,975 cities across the globe.This was achieved by employing population grid data as a proxy for reference building data.Not only the completeness of each city but also that of the grids within that city was assessed.The assessment results were evaluated based on calculating the overall accuracy and the r-square value between estimated and reference OSM building completeness values.Results showed that for 75%of cities,the completeness is lower than 20%;no more than 9%of cities have an estimated completeness higher than 80%.The overall accuracies of most countries were higher than 80%.The estimated completeness was also highly correlated with the reference completeness,which verifies the effectiveness of our approach.These results may be useful for acquiring and updating building data in OSM.A global and open dataset related to OSM building completeness has been made available for public use.
