Showing 321 - 340 results of 496 for search '"observatory"', query time: 0.06s Refine Results
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    Deriving Full‐Coverage and Fine‐Scale XCO2 Across China Based on OCO‐2 Satellite Retrievals and CarbonTracker Output by Changpei He, Mingrui Ji, Tao Li, Xinyi Liu, Die Tang, Shifu Zhang, Yuzhou Luo, Michael L. Grieneisen, Zihang Zhou, Yu Zhan

    Published 2022-06-01
    “…We developed a machine learning model to fill the data gaps in the Orbiting Carbon Observatory 2 satellite retrievals across China during 2015–2018, with cross‐validation R2 = 0.95 and RMSE = 0.91 ppm. …”
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    Latent class analysis of the capacity of countries to manage diabetes and its relationship with diabetes-related deaths and healthcare costs by Samuel Akyirem, Emmanuel Ekpor, Charles Boakye Kwanin

    Published 2025-01-01
    “…Methods Eight indicators of country-level capacity were drawn from the World Health Organization Global Health Observatory dataset: the widespread availability of hemoglobin A1C (HbA1c) testing, existence of diabetes registry, national diabetes management guidelines, national strategy for diabetes care, blood glucose testing, diabetic retinopathy screening, sulfonylureas, and metformin in the public health sector. …”
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    Precipitation Concentration in Bangladesh over Different Temporal Periods by Md. Anarul Haque Mondol, Al-Mamun, Mehedi Iqbal, Dong-Ho Jang

    Published 2018-01-01
    “…In this study, the rainfall data from 30 meteorological observatory stations across Bangladesh were collected for the period 1980 to 2011. …”
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    Association between short-term exposure to air pollutants and daily stroke incidence among residents in Qingdao city: a time series analysis of disease surveillance, environmental,... by Nan GE, Lu PAN, Xin ZHANG, Dandan LI, Yin WANG, Jingya YIN, Hui ZHOU, Haoyan YU, Xiuqin ZHANG, Chunsheng XU, Yuan FANG, Yan MA, Bingling WANG, Haiping DUAN

    Published 2024-10-01
    “…MethodsData on new cases of stroke reported in Qingdao municipality from 2014 to 2020 were collected from the National Chronic Disease Surveillance Network Reporting System, together with air pollution monitoring data from the Qingdao Ecological Environment Monitoring Center and meteorological monitoring data from the Qingdao Meteorological Observatory for the same period. The distributed Lag nonlinear model (DLNM) was used to analyze the associations between daily mean concentrations of particulate matter with an aerodynamic diameter of less than 2.5 mum (PM2.5), particulate matter with an aerodynamic diameter of less than 10 mum (PM10), carbon monoxide (CO), ozone (O3), sulfur dioxide (SO2), and nitrogen dioxide (NO2) with daily stroke incidence, while controlling for the effects of potential confounders such as long-term trend and day of the week in Qingdao city. …”
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