BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

716 related articles for article (PubMed ID: 30933771)

  • 1. Predicting ground-level PM
    Li X; Zhang X
    Environ Pollut; 2019 Jun; 249():735-749. PubMed ID: 30933771
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
    Paciorek CJ; Liu Y;
    Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Satellite-based high-resolution PM
    He Q; Huang B
    Environ Pollut; 2018 May; 236():1027-1037. PubMed ID: 29455919
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating spatiotemporal distribution of PM
    Chen G; Knibbs LD; Zhang W; Li S; Cao W; Guo J; Ren H; Wang B; Wang H; Williams G; Hamm NAS; Guo Y
    Environ Pollut; 2018 Feb; 233():1086-1094. PubMed ID: 29033176
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spatiotemporal continuous estimates of PM
    Xue T; Zheng Y; Tong D; Zheng B; Li X; Zhu T; Zhang Q
    Environ Int; 2019 Feb; 123():345-357. PubMed ID: 30562706
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM
    Jung CR; Hwang BF; Chen WT
    Environ Pollut; 2018 Jun; 237():1000-1010. PubMed ID: 29157969
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impacts of elevated-aerosol-layer and aerosol type on the correlation of AOD and particulate matter with ground-based and satellite measurements in Nanjing, southeast China.
    Han Y; Wu Y; Wang T; Zhuang B; Li S; Zhao K
    Sci Total Environ; 2015 Nov; 532():195-207. PubMed ID: 26071961
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A nonparametric approach to filling gaps in satellite-retrieved aerosol optical depth for estimating ambient PM
    Zhang R; Di B; Luo Y; Deng X; Grieneisen ML; Wang Z; Yao G; Zhan Y
    Environ Pollut; 2018 Dec; 243(Pt B):998-1007. PubMed ID: 30248607
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM
    Xu Y; Ho HC; Wong MS; Deng C; Shi Y; Chan TC; Knudby A
    Environ Pollut; 2018 Nov; 242(Pt B):1417-1426. PubMed ID: 30142557
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The relationships between PM
    Yang Q; Yuan Q; Yue L; Li T; Shen H; Zhang L
    Environ Pollut; 2019 May; 248():526-535. PubMed ID: 30831349
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS.
    Kong L; Xin J; Zhang W; Wang Y
    Environ Pollut; 2016 Sep; 216():350-360. PubMed ID: 27294786
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A machine learning method to estimate PM
    Chen G; Li S; Knibbs LD; Hamm NAS; Cao W; Li T; Guo J; Ren H; Abramson MJ; Guo Y
    Sci Total Environ; 2018 Sep; 636():52-60. PubMed ID: 29702402
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimating the daily PM
    Zhao C; Wang Q; Ban J; Liu Z; Zhang Y; Ma R; Li S; Li T
    Environ Int; 2020 Jan; 134():105297. PubMed ID: 31785527
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating PM2.5 in Xi'an, China using aerosol optical depth: a comparison between the MODIS and MISR retrieval models.
    You W; Zang Z; Pan X; Zhang L; Chen D
    Sci Total Environ; 2015 Feb; 505():1156-65. PubMed ID: 25466686
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spatiotemporal patterns of PM
    Chen G; Wang Y; Li S; Cao W; Ren H; Knibbs LD; Abramson MJ; Guo Y
    Environ Pollut; 2018 Nov; 242(Pt A):605-613. PubMed ID: 30014938
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting monthly high-resolution PM
    Huang K; Xiao Q; Meng X; Geng G; Wang Y; Lyapustin A; Gu D; Liu Y
    Environ Pollut; 2018 Nov; 242(Pt A):675-683. PubMed ID: 30025341
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating PM
    Yang L; Xu H; Yu S
    J Environ Manage; 2020 Oct; 272():111061. PubMed ID: 32669259
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of satellite remote sensing data and random forest approach to estimate ground-level PM
    Wongnakae P; Chitchum P; Sripramong R; Phosri A
    Environ Sci Pollut Res Int; 2023 Aug; 30(38):88905-88917. PubMed ID: 37442931
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Daily estimation of ground-level PM
    Lv B; Hu Y; Chang HH; Russell AG; Cai J; Xu B; Bai Y
    Sci Total Environ; 2017 Feb; 580():235-244. PubMed ID: 27986320
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimation of ambient PM
    Li J; Garshick E; Hart JE; Li L; Shi L; Al-Hemoud A; Huang S; Koutrakis P
    Environ Int; 2021 Jun; 151():106445. PubMed ID: 33618328
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 36.