47 research outputs found
Standard for density of population aging.
The Yangtze River Delta urban agglomeration (YRDUA) is Chinaâs most representative region with remarkable economic development vitality. The purpose of this study is to provide valuable data analysis to actively respond to the population aging in China. We mainly focus on the spatial and temporal evolution of population aging in YRDUA from 2000 to 2020 using city-level population data. This study constructs a multi-dimensional index system to measure population aging including population aging degree, speed, and density. It finds out: (1) the elderly population rate (EPR), the elder-child ratio (ECR), and the elderly dependency ratio (EDR) in the YRDUA area are gradually increasing from 2000 to 2020. In addition, the trends of these indicators in various cities and regions are relatively consistent. All 27 cities in YRDUA entered an aging society, from the primary to the moderate aging stage from 2000 to 2010 and from the moderate to the hyper aging stage from 2010 to 2020. (2) the absolute and relative growth rate of EPR is increasing from 2000 to 2020. However, the absolute and relative growth rate of ECR is increasing from 2000 to 2010 and then decreasing from 2010 to 2020. These results indicate that the two-child policy adopted by the Chinese government plays a positive role. (3) the density level of the elderly population in the YRDUA evolved from low in 2000 to middle in 2010 and then to high in 2020. (4) There are remarkable differences in the process of population aging among three provinces and one city. The contribution of this study is mainly reflected in two aspects: firstly, it constructs a multi-dimensional index system to measure population aging; secondly, using this multi-dimensional index system, it systematically observes the spatial and temporal evolution of population aging from 2000 to 2020 in the Yangtze River Delta Urban Agglomeration.</div
Density of population aging in Yangtze River delta urban agglomeration.
Density of population aging in Yangtze River delta urban agglomeration.</p
Speed of population aging in Yangtze river delta urban agglomeration (2000â2010).
Speed of population aging in Yangtze river delta urban agglomeration (2000â2010).</p
Population aging degree of Yangtze River Delta Urban Agglomeration in 2000, 2010 and 2020.
Population aging degree of Yangtze River Delta Urban Agglomeration in 2000, 2010 and 2020.</p
Stages of population aging degree.
The Yangtze River Delta urban agglomeration (YRDUA) is Chinaâs most representative region with remarkable economic development vitality. The purpose of this study is to provide valuable data analysis to actively respond to the population aging in China. We mainly focus on the spatial and temporal evolution of population aging in YRDUA from 2000 to 2020 using city-level population data. This study constructs a multi-dimensional index system to measure population aging including population aging degree, speed, and density. It finds out: (1) the elderly population rate (EPR), the elder-child ratio (ECR), and the elderly dependency ratio (EDR) in the YRDUA area are gradually increasing from 2000 to 2020. In addition, the trends of these indicators in various cities and regions are relatively consistent. All 27 cities in YRDUA entered an aging society, from the primary to the moderate aging stage from 2000 to 2010 and from the moderate to the hyper aging stage from 2010 to 2020. (2) the absolute and relative growth rate of EPR is increasing from 2000 to 2020. However, the absolute and relative growth rate of ECR is increasing from 2000 to 2010 and then decreasing from 2010 to 2020. These results indicate that the two-child policy adopted by the Chinese government plays a positive role. (3) the density level of the elderly population in the YRDUA evolved from low in 2000 to middle in 2010 and then to high in 2020. (4) There are remarkable differences in the process of population aging among three provinces and one city. The contribution of this study is mainly reflected in two aspects: firstly, it constructs a multi-dimensional index system to measure population aging; secondly, using this multi-dimensional index system, it systematically observes the spatial and temporal evolution of population aging from 2000 to 2020 in the Yangtze River Delta Urban Agglomeration.</div
S1 Data -
The Yangtze River Delta urban agglomeration (YRDUA) is Chinaâs most representative region with remarkable economic development vitality. The purpose of this study is to provide valuable data analysis to actively respond to the population aging in China. We mainly focus on the spatial and temporal evolution of population aging in YRDUA from 2000 to 2020 using city-level population data. This study constructs a multi-dimensional index system to measure population aging including population aging degree, speed, and density. It finds out: (1) the elderly population rate (EPR), the elder-child ratio (ECR), and the elderly dependency ratio (EDR) in the YRDUA area are gradually increasing from 2000 to 2020. In addition, the trends of these indicators in various cities and regions are relatively consistent. All 27 cities in YRDUA entered an aging society, from the primary to the moderate aging stage from 2000 to 2010 and from the moderate to the hyper aging stage from 2010 to 2020. (2) the absolute and relative growth rate of EPR is increasing from 2000 to 2020. However, the absolute and relative growth rate of ECR is increasing from 2000 to 2010 and then decreasing from 2010 to 2020. These results indicate that the two-child policy adopted by the Chinese government plays a positive role. (3) the density level of the elderly population in the YRDUA evolved from low in 2000 to middle in 2010 and then to high in 2020. (4) There are remarkable differences in the process of population aging among three provinces and one city. The contribution of this study is mainly reflected in two aspects: firstly, it constructs a multi-dimensional index system to measure population aging; secondly, using this multi-dimensional index system, it systematically observes the spatial and temporal evolution of population aging from 2000 to 2020 in the Yangtze River Delta Urban Agglomeration.</div
Population age structure.
The Yangtze River Delta urban agglomeration (YRDUA) is Chinaâs most representative region with remarkable economic development vitality. The purpose of this study is to provide valuable data analysis to actively respond to the population aging in China. We mainly focus on the spatial and temporal evolution of population aging in YRDUA from 2000 to 2020 using city-level population data. This study constructs a multi-dimensional index system to measure population aging including population aging degree, speed, and density. It finds out: (1) the elderly population rate (EPR), the elder-child ratio (ECR), and the elderly dependency ratio (EDR) in the YRDUA area are gradually increasing from 2000 to 2020. In addition, the trends of these indicators in various cities and regions are relatively consistent. All 27 cities in YRDUA entered an aging society, from the primary to the moderate aging stage from 2000 to 2010 and from the moderate to the hyper aging stage from 2010 to 2020. (2) the absolute and relative growth rate of EPR is increasing from 2000 to 2020. However, the absolute and relative growth rate of ECR is increasing from 2000 to 2010 and then decreasing from 2010 to 2020. These results indicate that the two-child policy adopted by the Chinese government plays a positive role. (3) the density level of the elderly population in the YRDUA evolved from low in 2000 to middle in 2010 and then to high in 2020. (4) There are remarkable differences in the process of population aging among three provinces and one city. The contribution of this study is mainly reflected in two aspects: firstly, it constructs a multi-dimensional index system to measure population aging; secondly, using this multi-dimensional index system, it systematically observes the spatial and temporal evolution of population aging from 2000 to 2020 in the Yangtze River Delta Urban Agglomeration.</div
Population aging degree of Yangtze River Delta urban agglomeration.
(Shape file source: Republished from http://www.gscloud.cn under a CC BY license, with permission from Geospatial Data Cloud, original copyright [2022]; The map was created using ArcGIS 10.2 software and the calculation data of EPR, ECR, and EDR is sourced from relevant statistical yearbook).</p
Palladium-Catalyzed C(sp<sup>2</sup>)âH Acetoxylation via Electrochemical Oxidation
Palladium-catalyzed arene CÂ(sp<sup>2</sup>)âH acetoxylation
has emerged as a powerful tool to construct a carbonâoxygen
(CâO) bond. However, the requirement of stoichiometric chemical
oxidants for this transformation possesses a significant disadvantage.
To solve this fundamental problem, we now report an anodic oxidation
strategy to achieve arene CÂ(sp<sup>2</sup>)âH acetoxylation
Screenshots from the IGV visualized program present m<sup>6</sup>A topologies in rRNA and tRNAs in the <i>Arabidopsis</i> mitochondria.
<p>Extent of m<sup>6</sup>A methylation, sequencing depth, sequencing fragment alignment, and gene ID of the sequencing data can be clearly visualized by the IGV program [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0185612#pone.0185612.ref042" target="_blank">42</a>]. The area in the screenshot indicated by the arrow, âRed leftwards arrowâ, presents m<sup>6</sup>A methylation extent across the transcript. The area in the screenshot indicated by the arrow, âBlack leftwards arrowâ, presents sequencing fragment alignment across the transcript. The area in the screenshot indicated by the arrow, âBlack leftwards arrow with tailâ, presents gene ID information including gene ID, sequence reading direction, the intron and exon regions. (a) The whole rRNA was highly methylated by m<sup>6</sup>A, representative rRNA, âATMG01390â; (b) The whole tRNA was slightly methylated by m<sup>6</sup>A, representative tRNA, âATMG00380â, expressed for tRNA-Asn. The Trace files of three organs, leaves (the upper), flowers (in the middle) and roots (the lower) were presented within a screenshot.</p