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 *

142 related articles for article (PubMed ID: 34398378)

  • 21. [Influencing factors and scenario forecasting of carbon emissions in Liaoning Province, China].
    Niu L; Zhagn L; Xi F; Wang J
    Ying Yong Sheng Tai Xue Bao; 2023 Feb; 34(2):499-509. PubMed ID: 36803728
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China.
    Liu W; Xu R; Deng Y; Lu W; Zhou B; Zhao M
    Int J Environ Res Public Health; 2021 Feb; 18(5):. PubMed ID: 33668785
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Decomposition and decoupling analysis of multi-sector CO
    Chun T; Wang S; Xue X; Xin H; Gao G; Wang N; Tian X; Zhang R
    Environ Sci Pollut Res Int; 2023 Aug; 30(38):88508-88523. PubMed ID: 37438505
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Spatial-temporal characteristics and decoupling effects of China's transportation CO
    Cai J; Ma S; Ji H; Jiang W; Bai Z
    Environ Sci Pollut Res Int; 2023 Mar; 30(12):32614-32627. PubMed ID: 36469266
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Driving forces of China's multisector CO
    Pan W; Tu H; Hu C; Pan W
    Environ Sci Pollut Res Int; 2020 Jul; 27(19):23550-23564. PubMed ID: 32297109
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Carbon dioxide emission characteristics and peak trend analysis of countries along the Belt and Road.
    Chou J; Li Y; Xu Y; Zhao W; Li J; Hao Y
    Environ Sci Pollut Res Int; 2023 Jul; 30(34):81881-81895. PubMed ID: 35895171
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A comparison analysis of the decoupling carbon emissions from economic growth in three industries of Heilongjiang province in China.
    Liu X; Li S
    Environ Sci Pollut Res Int; 2021 Dec; 28(46):65200-65215. PubMed ID: 34231151
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt.
    Sun D; Cai S; Yuan X; Zhao C; Gu J; Chen Z; Sun H
    Environ Geochem Health; 2022 Sep; 44(9):2987-3006. PubMed ID: 35014007
    [TBL] [Abstract][Full Text] [Related]  

  • 29. What drives the decoupling between economic growth and energy-related CO
    Liu Y; Feng C
    Environ Sci Pollut Res Int; 2021 Aug; 28(32):44165-44182. PubMed ID: 33847881
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Spatiotemporal dynamics and decoupling mechanism of economic growth and carbon emissions in an urban agglomeration of China.
    Hu H; Lv T; Zhang X; Fu S; Geng C; Li Z
    Environ Monit Assess; 2022 Jul; 194(9):616. PubMed ID: 35900589
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Decomposition and decoupling analysis of energy-related carbon emissions in Turkey.
    Karakaya E; Bostan A; Özçağ M
    Environ Sci Pollut Res Int; 2019 Nov; 26(31):32080-32091. PubMed ID: 31489550
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Simulation analysis of carbon peak path in China from a multi-scenario perspective: evidence from random forest and back propagation neural network models.
    Li Y; Huang S; Miao L; Wu Z
    Environ Sci Pollut Res Int; 2023 Apr; 30(16):46711-46726. PubMed ID: 36723842
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Modelling and forecasting non-renewable energy consumption and carbon dioxide emissions in China using a PSO algorithm-based fractional non-linear grey Bernoulli model.
    Yang J; Wu Z
    Environ Sci Pollut Res Int; 2023 Jun; 30(26):69651-69665. PubMed ID: 37142841
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Carbon emissions predicting and decoupling analysis based on the PSO-ELM combined prediction model: evidence from Chongqing Municipality, China.
    Liu B; Chang H; Li Y; Zhao Y
    Environ Sci Pollut Res Int; 2023 Jul; 30(32):78849-78864. PubMed ID: 37280494
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Analysis of carbon emission drivers of secondary industries in Energy "Golden Triangle" area based on LMDI and two-dimensional decoupling model.
    Wu X; Zhang K; Wang Q; Wang D; Ku G
    Environ Sci Pollut Res Int; 2023 Jan; 30(3):8154-8169. PubMed ID: 36053415
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Study on industrial carbon emissions in China based on GDIM decomposition method and two decoupling effects.
    Shen C; Zhang J; Pang J; Xu H
    Environ Sci Pollut Res Int; 2024 Feb; 31(10):15648-15670. PubMed ID: 38300492
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Influencing factors and decoupling analysis of carbon emissions in China's manufacturing industry.
    Jin B; Han Y
    Environ Sci Pollut Res Int; 2021 Dec; 28(45):64719-64738. PubMed ID: 34312759
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Research on the relationship between China's greenhouse gas emissions and industrial structure and economic growth from the perspective of energy consumption.
    Zhang Z; Ma X; Lian X; Guo Y; Song Y; Chang B; Luo L
    Environ Sci Pollut Res Int; 2020 Nov; 27(33):41839-41855. PubMed ID: 32700267
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.