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 *

228 related articles for article (PubMed ID: 31175476)

  • 1. Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data.
    Zewdie GK; Lary DJ; Liu X; Wu D; Levetin E
    Environ Monit Assess; 2019 Jun; 191(7):418. PubMed ID: 31175476
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters.
    Zewdie GK; Liu X; Wu D; Lary DJ; Levetin E
    Environ Monit Assess; 2019 Jun; 191(Suppl 2):261. PubMed ID: 31254085
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne
    Zewdie GK; Lary DJ; Levetin E; Garuma GF
    Int J Environ Res Public Health; 2019 Jun; 16(11):. PubMed ID: 31167504
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mesoscale atmospheric transport of ragweed pollen allergens from infected to uninfected areas.
    Grewling Ł; Bogawski P; Jenerowicz D; Czarnecka-Operacz M; Šikoparija B; Skjøth CA; Smith M
    Int J Biometeorol; 2016 Oct; 60(10):1493-1500. PubMed ID: 26842368
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new approach used to explore associations of current Ambrosia pollen levels with current and past meteorological elements.
    Matyasovszky I; Makra L; Csépe Z; Deák ÁJ; Pál-Molnár E; Fülöp A; Tusnády G
    Int J Biometeorol; 2015 Sep; 59(9):1179-88. PubMed ID: 25376632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting daily ragweed pollen concentrations using Computational Intelligence techniques over two heavily polluted areas in Europe.
    Csépe Z; Makra L; Voukantsis D; Matyasovszky I; Tusnády G; Karatzas K; Thibaudon M
    Sci Total Environ; 2014 Apr; 476-477():542-52. PubMed ID: 24496027
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The influence of temperature, relative humidity and rainfall on the occurrence of pollen allergens (Betula, Poaceae, Ambrosia artemisiifolia) in the atmosphere of Bratislava (Slovakia).
    Bartková-Scevková J
    Int J Biometeorol; 2003 Sep; 48(1):1-5. PubMed ID: 12690548
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cross-Evaluation of Reflectivity from NEXRAD and Global Precipitation Mission during Extreme Weather Events.
    Acosta-Coll M; Morales A; Zamora-Musa R; Butt SA
    Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957327
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ambrosia pollen source inventory for Italy: a multi-purpose tool to assess the impact of the ragweed leaf beetle (Ophraella communa LeSage) on populations of its host plant.
    Bonini M; Šikoparija B; Skjøth CA; Cislaghi G; Colombo P; Testoni C; ; ; Smith M
    Int J Biometeorol; 2018 Apr; 62(4):597-608. PubMed ID: 29159703
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Heterogeneity in ragweed pollen exposure is determined by plant composition at small spatial scales.
    Katz DSW; Carey TS
    Sci Total Environ; 2014 Jul; 485-486():435-440. PubMed ID: 24742553
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying influence factors and thresholds of the next day's pollen concentration in different seasons using interpretable machine learning.
    Zhong J; Xiao R; Wang P; Yang X; Lu Z; Zheng J; Jiang H; Rao X; Luo S; Huang F
    Sci Total Environ; 2024 Jul; 935():173430. PubMed ID: 38782273
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Risk of exposure to airborne Ambrosia pollen from local and distant sources in Europe - an example from Denmark.
    Sommer J; Smith M; Šikoparija B; Kasprzyk I; Myszkowska D; Grewling Ł; Skjøth CA
    Ann Agric Environ Med; 2015; 22(4):625-31. PubMed ID: 26706966
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ragweed pollen and allergic symptoms in children: Results from a three-year longitudinal study.
    Jones NR; Agnew M; Banic I; Grossi CM; Colón-González FJ; Plavec D; Goodess CM; Epstein MM; Turkalj M; Lake IR
    Sci Total Environ; 2019 Sep; 683():240-248. PubMed ID: 31132703
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An assessment of predictive forecasting of Juniperus ashei pollen movement in the Southern Great Plains, USA.
    Van de Water PK; Keever T; Main CE; Levetin E
    Int J Biometeorol; 2003 Dec; 48(2):74-82. PubMed ID: 12820053
    [TBL] [Abstract][Full Text] [Related]  

  • 15. First allergenic pollen monitoring in Bucharest and results of three years collaboration with European aerobiology specialists.
    Leru PM; Eftimie AM; Thibaudon M
    Rom J Intern Med; 2018 Mar; 56(1):27-33. PubMed ID: 28865233
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Expansion and aerobiology of Ambrosia artemisiifolia L. in Slovakia.
    Hrabovský M; Ščevková J; Mičieta K; Lafférsová J; Dušička J
    Ann Agric Environ Med; 2016; 23(1):64-70. PubMed ID: 27007519
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Allergenic weed pollen forecast under the mathematical modeling method implementation in ukraine.
    Motruk II; Antomonov MY; Rodinkova VV; Aleksandrova OE; Yermishev OV
    Wiad Lek; 2018; 71(3 pt 1):592-598. PubMed ID: 29783231
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Non-native Ambrosia pollen in the atmosphere of Rzeszów (SE Poland); evaluation of the effect of weather conditions on daily concentrations and starting dates of the pollen season.
    Kasprzyk I
    Int J Biometeorol; 2008 May; 52(5):341-51. PubMed ID: 18046583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of wind-profiling radar data to the analysis of dust weather in the Taklimakan Desert.
    Wang M; Wei W; Ruan Z; He Q; Ge R
    Environ Monit Assess; 2013 Jun; 185(6):4819-34. PubMed ID: 23099859
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimation of historical daily airborne pollen concentrations across Switzerland using a spatio temporal random forest model.
    Valipour Shokouhi B; de Hoogh K; Gehrig R; Eeftens M
    Sci Total Environ; 2024 Jan; 906():167286. PubMed ID: 37742957
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.