Showing 27,181 - 27,190 results of 27,190 for search '"predictive modelling"', query time: 0.53s Refine Results
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    Solid Precipitation and Visibility Measurements at the Centre for Atmospheric Research Experiments in Southern Ontario and Bratt’s Lake in Southern Saskatchewan by Faisal S. Boudala, Jason A. Milbrandt

    Published 2023-08-01
    “…Accurate measurement of solid precipitation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">S</mi></mrow></semantics></math></inline-formula>) has a critical importance for proper understanding of the Earth’s hydrological cycle, validation of emerging technologies and weather prediction models, and developing parameterizations of severe weather elements such as visibility (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">V</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">s</mi></mrow></semantics></math></inline-formula>). …”
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  3. 27183
  4. 27184

    Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1 by R. Ghahreman, W. Gong, P. A. Makar, A. Lupu, A. Cole, K. Banwait, C. Lee, A. Akingunola

    Published 2024-01-01
    “…The impact of different representations of BCS on existing model biases was examined through implementing a new aerosol BCS scheme in the Environment and Climate Change Canada (ECCC) air quality prediction model GEM-MACH and comparing it with the existing scavenging scheme in the model. …”
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  5. 27185

    Frequency Analysis and Investigation of the Factors Affecting 100-yr Peak-Flood in Iran’s Watersheds by ٍEsmaeel Parizi, Seiyed Mossa Hosseini

    Published 2022-06-01
    “…Behavior of crossing flood on foot, associated risk factors and estimating a predictive model. Journal of Natural Hazards, 73(2), 1119–1126.- Shahabi, H., Shirzadi, A., Ronoud, S., Asadi, S., Pham, B. …”
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  6. 27186

    Analysis of Indicators and Explanation of Strategies for Achieving Urban Intelligence: A Case Study of Isfahan by Masoud Taghvaei, Marjan Shafiei

    Published 2022-04-01
    “…Isfahan Metropolis Resilience Prediction Model in Crises and Unexpected Events. Journal of Geographical Research Quarterly, 35(1), 20-30 (in Persian).- Taghvaei, M., Varesi, H., & Narimani, M. (2015). …”
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  7. 27187

    Thromboprophylaxis during pregnancy and the puerperium: a systematic review and economic evaluation to estimate the value of future research by Sarah Davis, Abdullah Pandor, Fiona C Sampson, Jean Hamilton, Catherine Nelson-Piercy, Beverley J Hunt, Jahnavi Daru, Steve Goodacre, Rosie Carser, Gill Rooney, Mark Clowes

    Published 2024-03-01
    “…Two or more reviewers independently undertook study selection, data extraction and risk of bias assessments using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). …”
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  8. 27188

    Antibiotics for lower respiratory tract infection in children presenting in primary care: ARTIC-PC RCT by Little Paul, Francis Nick A, Stuart Beth, O’Reilly Gilly, Thompson Natalie, Becque Taeko, Hay Alastair D, Wang Kay, Sharland Michael, Harnden Anthony, Yao Guiqing, Raftery James, Zhu Shihua, Little Joseph, Hookham Charlotte, Rowley Kate, Euden Joanne, Harman Kim, Coenen Samuel, Read Robert C, Woods Catherine, Butler Christopher C, Faust Saul N, Leydon Geraldine, Wan Mandy, Hood Kerenza, Whitehurst Jane, Richards-Hall Samantha, Smith Peter, Thomas Michael, Moore Michael, Verheij Theo

    Published 2023-06-01
    “…Aims The aims were to: 1.estimate the effectiveness of amoxicillin overall and in key clinical subgroups of children presenting with uncomplicated (non-pneumonic) lower respiratory tract infection in primary care 2.estimate the cost-effectiveness of antibiotics overall in children presenting with uncomplicated (non-pneumonic) lower respiratory tract infection in primary care 3.explore the estimates of effectiveness according to key pathophysiological subgroups (the presence of bacterial pathogens) 4.explore which variables predict poor prognosis and develop a prediction model for poor prognosis 5.explore the views of parents and clinicians regarding management of children and participation in the trial. …”
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