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  1. 3401
    “…Daily air-pollution data, meteorological data, and stroke incidence data of residents in Enshi city from 1 January 2015 to 31 December 2018 were collected. …”
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    Short-Term Effects of Low-Level Ambient Air NO(2) on the Risk of Incident Stroke in Enshi City, China
  2. 3402
    “…The parameters of the XGBR-ET model were ablated to show that the order of importance of meteorological factors on XGBR-ET was R(n) > RH > RH(min)> T(amax)> RH(max)> T(amin)> T(a)> V. …”
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    Prediction of Greenhouse Tomato Crop Evapotranspiration Using XGBoost Machine Learning Model
  3. 3403
    “…Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. …”
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    Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms
  4. 3404
    “…Using ground-based polarization Light Detection and Ranging (LiDAR), we detected real-time aerosol profile parameters (EC, extinction coefficient; DR, depolarization ratio; AOD, aerosol optical depth), as well as air-quality and meteorological indexes from 1 March to 30 April in 2021 and 2022 to quantify the effects of lockdown on aerosol concentrations. …”
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    Lockdown-induced Urban Aerosol Change over Changchun, China During COVID-19 Outbreak with Polarization LiDAR
  5. 3405
    “…METHODS: We collected daily outpatient visit data, air pollutant data, and meteorological data at the monitoring points of Zhengzhou from the time period 2018 to 2020 and used Spearman's rank correlation to analyze the correlation between children's respiratory outpatient visits and air pollutants and meteorological factors. …”
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    Association between ambient PM(2.5) and outpatient visits of children's respiratory diseases in a megacity in Central China
  6. 3406
    “…To determine the scale of such ‘weather response diversity’ within barley (Hordeum vulgare L.), an important crop in northern conditions, the yield responses of a wide range of modern and historical varieties were analysed according to a well-defined set of critical agro-meteorological variables. The Finnish long-term dataset of MTT Official Variety Trials was used together with historical weather records of the Finnish Meteorological Institute. …”
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    Sensitivity of barley varieties to weather in Finland
  7. 3407
    “…The temporal pattern of rotavirus, norovirus, sapovirus, astrovirus, adenovirus and Aichivirus A was studied by examining prevalence of gastroenteritis viruses in association with meteorological variables in Ouagadougou, Burkina Faso. …”
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    Temporal distribution of gastroenteritis viruses in Ouagadougou, Burkina Faso: seasonality of rotavirus
  8. 3408
    “…This study aimed to identify meteorological factors that may increase the risk of primary MERS infections in humans. …”
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    A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
  9. 3409
    “…These reductions in PNC were mainly explained by meteorological conditions, with most of the deviation explained by wind speed (14–22%) and temperature (10–13%). …”
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    Exposure to ultrafine particles while walking or bicycling during COVID-19 closures: A repeated measures study in Copenhagen, Denmark
  10. 3410
    “…The presence of SO(2) and NO(2) can be dependent on meteorological parameters (R = 0.48). Despite there was a positive correlation between age and CD (p = 0.001), the highest correlation was detected between SO(2) and CD (R = 0.4). …”
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    Ambient air pollution and cardiovascular disease rate an ANN modeling: Yazd-Central of Iran
  11. 3411
    “…Ten control pregnancies were randomly selected for each case by matching each case pregnancy on type of diabetes (i.e., T1DM, T2DM, or GDM), maternal age on the date of acute glycemic complication occurrence (i.e., index date), and “length of gestation at risk” (i.e., period between conception and index date). Meteorological parameters were retrieved from 542 meteorological monitoring stations across Taiwan during 2008–2014. …”
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    Associations of hyperglycemic emergency and severe hypoglycemia incidences with seasonality and ambient temperature among pregnant women with diabetes: a nested case-control study in Taiwan
  12. 3412
    “…The study included 29,519 newly treated TB patients from three cities in Anhui province. We collected meteorological data and five pollutants data from The National Meteorological Science Center and air quality monitoring stations. …”
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    Associations of exposures to air pollution and greenness with mortality in a newly treated tuberculosis cohort
  13. 3413
    “…We compared the prediction performance between two statistical and seven machine learning methods using 203 monitoring datasets recorded over several decades on four major crops in Japan and meteorological and geographical information as the explanatory variables. …”
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    Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets
  14. 3414
    por Hou, Xinxing, Ju, Chao, Wang, Bo
    Publicado 2023
    “…The main goal of this study is to accurately predict solar irradiance and establish a prediction model with meteorological characteristics to improve prediction accuracy. …”
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    Prediction of solar irradiance using convolutional neural network and attention mechanism-based long short-term memory network based on similar day analysis and an attention mechanism
  15. 3415
    “…We investigated nine growth characteristics, twelve soil physicochemical properties, eight meteorological data, and three marker compounds in this study. …”
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    Multivariate Analysis among Marker Compounds, Environmental Factors, and Fruit Quality of Schisandra chinensis at Different Locations in South Korea
  16. 3416
    “…Pollen is an important trigger of some types of asthma, and both pollen quantity and season depend on climatic and meteorologic variables. Over the same period as the global rise in asthma, there have been considerable increases in atmospheric carbon dioxide concentration and global average surface temperature. …”
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    Is the Global Rise of Asthma an Early Impact of Anthropogenic Climate Change?
  17. 3417
    “…The data was categorized into three different aspects, namely (1) mosquito abundance, (2) meteorological and (3) socio-economic details. This data was taken from a database developed for a project entitled “Database management system for the control of bancroftian filariasis” sponsored by Ministry of Communication and Information Technology (MC&IT), Government of India, New Delhi. …”
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    Management of filariasis using prediction rules derived from data mining
  18. 3418
    por Busowski, John D., Chez, Ronald A.
    Publicado 1995
    “…Objective: Numerous published reports have linked various disease states and pregnancy-related conditions with meteorologic factors such as weather, humidity, and temperature. …”
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    Climatic Factors and the Incidence of Pyelonephritis During Pregnancy
  19. 3419
    por Nishiura, Hiroshi, Kashiwagi, Tomoko
    Publicado 2009
    “…In addition to time series analyses of reported data, an estimation and spectral analysis of the effective reproduction number at calendar time t, R(t), were made. Meteorological variables were extracted from a report in India from 1890–1921 and compared with smallpox mortality as well as R(t). …”
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    Smallpox and Season: Reanalysis of Historical Data
  20. 3420
    “…We modeled surface wetness at high resolution, using a dynamic hydrology model, to predict flood and swamp water mosquito abundances. Historical meteorologic data, as well as topographic, soil, and vegetation data, were used to model surface wetness and identify potential fresh and swamp water breeding habitats in two northern New Jersey watersheds. …”
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    Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
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