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 *

209 related articles for article (PubMed ID: 34375240)

  • 1. Synergistic CO
    Shen W; Liang H; Dong L; Ren J; Wang G
    Sci Total Environ; 2021 Dec; 798():149352. PubMed ID: 34375240
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. [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]  

  • 4. 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]  

  • 5. Structure characteristics and influencing factors of China's carbon emission spatial correlation network: A study based on the dimension of urban agglomerations.
    Dong J; Li C
    Sci Total Environ; 2022 Dec; 853():158613. PubMed ID: 36089040
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Regional differences, dynamic evolution, and spatial spillover effects of carbon emission intensity in urban agglomerations.
    Qiao R; Dong F; Xie X; Ji R
    Environ Sci Pollut Res Int; 2023 Dec; 30(58):121993-122010. PubMed ID: 37957497
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Characteristics and evolution of knowledge innovation network in the Yangtze River Delta urban agglomeration--A case study of China National Knowledge Infrastructure.
    Gao Y; Ye L
    PLoS One; 2023; 18(4):e0283853. PubMed ID: 37083833
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Carbon Emission Reduction Effect of Spatial Correlation Network Structure Characteristics: From the Perspective of Urban Agglomeration].
    Zheng H; Ye AZ
    Huan Jing Ke Xue; 2022 Oct; 43(10):4401-4407. PubMed ID: 36224126
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Synergistic relationship and interact driving factors of pollution and carbon reduction in the Yangtze River Delta urban agglomeration, China.
    An M; Fan M; Xie P
    Environ Sci Pollut Res Int; 2023 Dec; 30(56):118677-118692. PubMed ID: 37917259
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Decomposition and decoupling analysis of carbon emissions in the Yellow River Basin: evidence from urban agglomerations.
    Chen R; Ma X; Song Y; Wang M; Fan Y; Yu Y
    Environ Sci Pollut Res Int; 2023 Dec; 30(57):120775-120792. PubMed ID: 37945949
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatiotemporal Distribution Characteristics and Driving Forces of PM2.5 in Three Urban Agglomerations of the Yangtze River Economic Belt.
    Yan JW; Tao F; Zhang SQ; Lin S; Zhou T
    Int J Environ Res Public Health; 2021 Feb; 18(5):. PubMed ID: 33668193
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Measuring the urban land use efficiency of three urban agglomerations in China under carbon emissions.
    Lu X; Zhang Y; Li J; Duan K
    Environ Sci Pollut Res Int; 2022 May; 29(24):36443-36474. PubMed ID: 35064500
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Have regional coordinated development policies promoted urban carbon emission efficiency?-the evidence from the urban agglomerations in the middle reaches of the Yangtze River.
    Wang T; Li H
    Environ Sci Pollut Res Int; 2023 Mar; 30(14):39618-39636. PubMed ID: 36598721
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Research on the Heterogeneity of Carbon Emissions under the Government's Promotion of Urban Agglomeration Development: Empirical Evidence from County-to-District Reforms.
    Jin J; Chen D
    Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742788
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios-A Case Study of Hu-Bao-O-Yu Urban Agglomeration.
    Ning X; He Y; Zhang J; Wu C; Zhang Y
    Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36901258
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin.
    Su Z; Yang Y; Wang Y; Zhang P; Luo X
    Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36901005
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta-Based on the Perspective of Information Flow.
    Lin Q; Xiang M; Zhang L; Yao J; Wei C; Ye S; Shao H
    Int J Environ Res Public Health; 2021 Sep; 18(19):. PubMed ID: 34639588
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Choice of technological change for China's low-carbon development: Evidence from three urban agglomerations.
    Jia P; Li K; Shao S
    J Environ Manage; 2018 Jan; 206():1308-1319. PubMed ID: 28886880
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatial-temporal differentiation of urban eco-efficiency and its driving factors: A comparison of five major urban agglomerations in China.
    Liu X; Zhang X; Yuan M; Liu J; Zhou G
    PLoS One; 2024; 19(3):e0300419. PubMed ID: 38512883
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Driving factors and emission reduction scenarios analysis of CO
    Luo X; Liu C; Zhao H
    Sci Total Environ; 2023 Apr; 870():161966. PubMed ID: 36737020
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.