BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 35627828)

  • 41. Meteorological Influences on Spatiotemporal Variation of PM
    Wang S; Gao J; Guo L; Nie X; Xiao X
    Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162629
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Predicting intraurban airborne PM
    Zhang JJY; Sun L; Rainham D; Dummer TJB; Wheeler AJ; Anastasopolos A; Gibson M; Johnson M
    Sci Total Environ; 2022 Feb; 806(Pt 1):150149. PubMed ID: 34583078
    [TBL] [Abstract][Full Text] [Related]  

  • 43. The improvement of spatial-temporal resolution of PM
    Lin YC; Chi WJ; Lin YQ
    Environ Int; 2020 Jan; 134():105305. PubMed ID: 31739136
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Spatial and temporal estimation of air pollutants in New York City: exposure assignment for use in a birth outcomes study.
    Ross Z; Ito K; Johnson S; Yee M; Pezeshki G; Clougherty JE; Savitz D; Matte T
    Environ Health; 2013 Jun; 12():51. PubMed ID: 23802774
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations in City of Shanghai, China.
    Liu C; Henderson BH; Wang D; Yang X; Peng ZR
    Sci Total Environ; 2016 Sep; 565():607-615. PubMed ID: 27203521
    [TBL] [Abstract][Full Text] [Related]  

  • 46. An investigation of PM2.5 concentration changes in Mid-Eastern China before and after COVID-19 outbreak.
    Zhang Y; Wu W; Li Y; Li Y
    Environ Int; 2023 May; 175():107941. PubMed ID: 37146469
    [TBL] [Abstract][Full Text] [Related]  

  • 47. 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]  

  • 48. Spatiotemporal land use regression models of fine, ultrafine, and black carbon particulate matter in New Delhi, India.
    Saraswat A; Apte JS; Kandlikar M; Brauer M; Henderson SB; Marshall JD
    Environ Sci Technol; 2013 Nov; 47(22):12903-11. PubMed ID: 24087939
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Estimating morning and evening commute period O
    Hsu CY; Lee RQ; Wong PY; Candice Lung SC; Chen YC; Chen PC; Adamkiewicz G; Wu CD
    J Environ Manage; 2024 Feb; 351():119725. PubMed ID: 38064987
    [TBL] [Abstract][Full Text] [Related]  

  • 50. The effects of surface vegetation coverage on the spatial distribution of PM
    Chen W; Zhang F; Shang X; Zhang T; Guan F
    Environ Sci Pollut Res Int; 2023 Dec; 30(60):125977-125990. PubMed ID: 38008837
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Predicting regional space-time variation of PM2.5 with land-use regression model and MODIS data.
    Mao L; Qiu Y; Kusano C; Xu X
    Environ Sci Pollut Res Int; 2012 Jan; 19(1):128-38. PubMed ID: 21698360
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Land use regression modelling of air pollution in high density high rise cities: A case study in Hong Kong.
    Lee M; Brauer M; Wong P; Tang R; Tsui TH; Choi C; Cheng W; Lai PC; Tian L; Thach TQ; Allen R; Barratt B
    Sci Total Environ; 2017 Aug; 592():306-315. PubMed ID: 28319717
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Impact assessment of meteorological and environmental parameters on PM
    Hajiloo F; Hamzeh S; Gheysari M
    Environ Sci Pollut Res Int; 2019 Aug; 26(24):24331-24345. PubMed ID: 29497943
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Spatiotemporal Changes in PM
    Tian L; Hou W; Chen J; Chen C; Pan X
    Int J Environ Res Public Health; 2018 Oct; 15(10):. PubMed ID: 30297620
    [TBL] [Abstract][Full Text] [Related]  

  • 55. High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM
    Zhang Y; Cheng H; Huang D; Fu C
    Int J Environ Res Public Health; 2021 Jun; 18(11):. PubMed ID: 34200158
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Remote sensing estimation of regional PM
    Liu L; Liu Y; Cheng F; Yu Y; Wang J; Wang C; Nong L; Deng H
    Environ Pollut; 2024 Jun; 351():124057. PubMed ID: 38688385
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Hourly land-use regression modeling for NO
    Ndiaye A; Shen Y; Kyriakou K; Karssenberg D; Schmitz O; Flückiger B; Hoogh K; Hoek G
    Environ Res; 2024 Sep; 256():119233. PubMed ID: 38802030
    [TBL] [Abstract][Full Text] [Related]  

  • 58. National air pollution distribution in China and related geographic, gaseous pollutant, and socio-economic factors.
    Liang D; Wang YQ; Wang YJ; Ma C
    Environ Pollut; 2019 Jul; 250():998-1009. PubMed ID: 31085487
    [TBL] [Abstract][Full Text] [Related]  

  • 59. PM2.5 concentration assessment based on geographical and temporal weighted regression model and MCD19A2 from 2015 to 2020 in Xinjiang, China.
    Quan W; Xia N; Guo Y; Hai W; Song J; Zhang B
    PLoS One; 2023; 18(5):e0285610. PubMed ID: 37167212
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Land Use Regression Modelling of Outdoor NO₂ and PM
    Saucy A; Röösli M; Künzli N; Tsai MY; Sieber C; Olaniyan T; Baatjies R; Jeebhay M; Davey M; Flückiger B; Naidoo RN; Dalvie MA; Badpa M; de Hoogh K
    Int J Environ Res Public Health; 2018 Jul; 15(7):. PubMed ID: 29996511
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.