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 *

688 related articles for article (PubMed ID: 32519108)

  • 41. Research on the evolution mechanism and decoupling effect of China's carbon emissions from the perspective of green credit: based on system dynamics model and Tapio model.
    Cao Z; He X; Zhang K
    Environ Sci Pollut Res Int; 2023 Dec; 30(56):118897-118915. PubMed ID: 37919506
    [TBL] [Abstract][Full Text] [Related]  

  • 42. China's carbon emissions from the electricity sector: Spatial characteristics and interregional transfer.
    Fan F; Wang Y; Liu Q
    Integr Environ Assess Manag; 2022 Jan; 18(1):258-273. PubMed ID: 34009674
    [TBL] [Abstract][Full Text] [Related]  

  • 43. A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province, China.
    Xu W; Xie Y; Xia D; Ji L; Huang G
    J Environ Manage; 2021 Nov; 298():113485. PubMed ID: 34385114
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Decomposition analysis of energy-related CO
    Fatima T; Xia E; Cao Z; Khan D; Fan JL
    Environ Sci Pollut Res Int; 2019 Jul; 26(21):21736-21749. PubMed ID: 31134541
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Structural factors influencing energy carbon emissions in China's service industry: an input-output perspective.
    Yu J; Yu Y; Jiang T
    Environ Sci Pollut Res Int; 2022 Jul; 29(32):49361-49372. PubMed ID: 35218481
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Driving factors of spatial-temporal difference in China's transportation sector carbon productivity: an empirical analysis based on Geodetector method.
    Zhu C; Dong S; Sun Y; Wang M; Dong P; Xu L
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):30656-30671. PubMed ID: 36437363
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Decoupling trend and emission reduction potential of CO
    Peng D; Yi J; Chen A; Chen H; Yang J
    Environ Sci Pollut Res Int; 2023 Feb; 30(9):23781-23795. PubMed ID: 36327082
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Temporal dynamics and spatial differences of household carbon emissions per capita of China's provinces during 2000-2019.
    Song C; Zhao T; Xiao Y
    Environ Sci Pollut Res Int; 2022 May; 29(21):31198-31216. PubMed ID: 35001270
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Research on the Duality of China's Marine Fishery Carbon Emissions and Its Coordination with Economic Development.
    Xiong H; Wang X; Hu X
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674174
    [TBL] [Abstract][Full Text] [Related]  

  • 50. The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective.
    Ma F; Wang Y; Yuen KF; Wang W; Li X; Liang Y
    Int J Environ Res Public Health; 2019 Jun; 16(12):. PubMed ID: 31216689
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Decoupling tourism growth from carbon emissions: Evidence from Chengdu, China.
    Xu Z; Li Y; Wang L; Chen S
    Environ Sci Pollut Res Int; 2023 Dec; 30(60):125866-125876. PubMed ID: 38008830
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Analysis on influencing factors of carbon emissions from China's pulp and paper industry and carbon peaking prediction.
    Wang H
    Environ Sci Pollut Res Int; 2023 Aug; 30(37):86790-86803. PubMed ID: 37410328
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Assessing the possibility of China reaching carbon emission peak by 2030 in the context of the COVID-19 pandemic.
    Chen T; Ren Y; Yang J; Cong G
    Environ Sci Pollut Res Int; 2023 Nov; 30(52):111995-112018. PubMed ID: 37824049
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Decoupling analysis between economic growth and aluminum cycle: From the perspective of aluminum use and carbon emissions.
    Chen Y; Zhu X; Zeng A
    J Environ Manage; 2023 Oct; 344():118461. PubMed ID: 37481914
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Uncertainty quantification of CO
    Yang L; Hu YJ; Wang H; Li C; Tang BJ; Wang B; Cui H
    J Environ Manage; 2023 Jun; 336():117624. PubMed ID: 36868152
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Energy-related carbon emissions and structural emissions reduction of China's construction industry: the perspective of input-output analysis.
    Jiang T; Li S; Yu Y; Peng Y
    Environ Sci Pollut Res Int; 2022 Jun; 29(26):39515-39527. PubMed ID: 35102513
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Research on application of a hybrid heuristic algorithm in transportation carbon emission.
    Li Y; Dong H; Lu S
    Environ Sci Pollut Res Int; 2021 Sep; 28(35):48610-48627. PubMed ID: 33914250
    [TBL] [Abstract][Full Text] [Related]  

  • 58. A Study on the Non-Linear Impact of Digital Technology Innovation on Carbon Emissions in the Transportation Industry.
    Chen X; Mao S; Lv S; Fang Z
    Int J Environ Res Public Health; 2022 Sep; 19(19):. PubMed ID: 36231730
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Driving factors and decoupling trend analysis between agricultural CO
    Yang J; Luo P; Li L
    Math Biosci Eng; 2022 Sep; 19(12):13093-13113. PubMed ID: 36654037
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Spatiotemporal changes in efficiency and influencing factors of China's industrial carbon emissions.
    Yang G; Zhang F; Zhang F; Ma D; Gao L; Chen Y; Luo Y; Yang Q
    Environ Sci Pollut Res Int; 2021 Jul; 28(27):36288-36302. PubMed ID: 33751383
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 35.