These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

247 related articles for article (PubMed ID: 34086729)

  • 1. Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt.
    Wang Z; Zhao Z; Wang C
    PLoS One; 2021; 16(6):e0252337. PubMed ID: 34086729
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River.
    Zhang D; Wang Z; Li S; Zhang H
    Int J Environ Res Public Health; 2021 Feb; 18(4):. PubMed ID: 33546273
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Spatial Distribution Pattern and Influencing Factors of Industrial Pollution Emissions in Yangtze River Economic Belt].
    Li YY; Liu LP; Liu YY
    Huan Jing Ke Xue; 2021 Aug; 42(8):3820-3828. PubMed ID: 34309268
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatiotemporal pattern of regional carbon emissions and its influencing factors in the Yangtze River Delta urban agglomeration of China.
    Lv T; Hu H; Zhang X; Xie H; Fu S; Wang L
    Environ Monit Assess; 2022 Jun; 194(7):515. PubMed ID: 35731371
    [TBL] [Abstract][Full Text] [Related]  

  • 5. How urban agglomeration improve the emission efficiency?A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China.
    Yu X; Wu Z; Zheng H; Li M; Tan T
    J Environ Manage; 2020 Apr; 260():110061. PubMed ID: 32090809
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Carbon emissions in China's urban agglomerations: spatio-temporal patterns, regional inequalities, and driving forces.
    Zhang Y; Luo F
    Environ Sci Pollut Res Int; 2024 Mar; 31(15):22528-22546. PubMed ID: 38409382
    [TBL] [Abstract][Full Text] [Related]  

  • 7. How does urbanization affect carbon emission intensity under a hierarchical nesting structure? Empirical research on the China Yangtze River Delta urban agglomeration.
    Wang F; Wang G; Liu J; Chen H
    Environ Sci Pollut Res Int; 2019 Nov; 26(31):31770-31785. PubMed ID: 31485940
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatiotemporal association of carbon dioxide emissions in China's urban agglomerations.
    Qian Y; Wang H; Wu J
    J Environ Manage; 2022 Dec; 323():116109. PubMed ID: 36261957
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynamic Changes and Regional Differences of Net Carbon Sequestration of Food Crops in the Yangtze River Economic Belt of China.
    Zhao L; Li X; Li X; Ai C
    Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36293810
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City.
    Huang X; Chen S; Xiong D; Xu C; Yang Z
    Comput Intell Neurosci; 2022; 2022():7546742. PubMed ID: 35978900
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatial spillover effects of urbanization on carbon emissions in the Yangtze River Delta urban agglomeration, China.
    Lv T; Hu H; Zhang X; Xie H; Wang L; Fu S
    Environ Sci Pollut Res Int; 2022 May; 29(23):33920-33934. PubMed ID: 35031992
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Spatialization and Spatio-temporal Dynamics of Energy Consumption Carbon Emissions in China].
    Hao RJ; Wei W; Liu CF; Xie BB; Du HB
    Huan Jing Ke Xue; 2022 Nov; 43(11):5305-5314. PubMed ID: 36437102
    [TBL] [Abstract][Full Text] [Related]  

  • 13. How does new-type urbanization affect total carbon emissions, per capita carbon emissions, and carbon emission intensity? An empirical analysis of the Yangtze River economic belt, China.
    Wu Y; Zong T; Shuai C; Jiao L
    J Environ Manage; 2024 Jan; 349():119441. PubMed ID: 37922824
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm.
    Huang H; Wu X; Cheng X
    Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32545504
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying the coupling coordination relationship between urbanization and forest ecological security and its impact mechanism: Case study of the Yangtze River Economic Belt, China.
    Zhang J; Zhang P; Wang R; Liu Y; Lu S
    J Environ Manage; 2023 Sep; 342():118327. PubMed ID: 37301026
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can Regional Integration Reduce Urban Carbon Emission? An Empirical Study Based on the Yangtze River Delta, China.
    Yan D; Li P
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674150
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effects of ICT agglomeration on carbon emission reduction: New evidence from the Yangtze River Economic Belt.
    Guo T; Bai L; Chen H; Luo K
    Environ Sci Pollut Res Int; 2023 Nov; 30(51):110869-110887. PubMed ID: 37794226
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Measurement and influencing factors of industrial carbon unlocking efficiency under the background of "double carbon".
    He Y; Wang W; Li H
    Environ Sci Pollut Res Int; 2023 Sep; 30(44):99427-99439. PubMed ID: 37612549
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Relevance Analysis of Sustainable Development of China's Yangtze River Economic Belt Based on Spatial Structure.
    Tang D; Li Z; Bethel BJ
    Int J Environ Res Public Health; 2019 Aug; 16(17):. PubMed ID: 31450878
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000-2019.
    Cui M; Guo Q; Wei Y; Yu X; Hu J; Tian L; Kong J
    Environ Sci Pollut Res Int; 2023 Jan; 30(2):2450-2468. PubMed ID: 35931850
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.