Hasil Pencarian - Mathilde Chen

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  1. 1
    Comparison of methods to aggregate climate data to predict crop yield: an application to soybean

    Comparison of methods to aggregate climate data to predict crop yield: an application to soybean oleh Mathilde Chen, Nicolas Guilpart, David Makowski

    Diterbitkan 2024-01-01
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  2. 2
    Forecasting severe grape downy mildew attacks using machine learning.

    Forecasting severe grape downy mildew attacks using machine learning. oleh Mathilde Chen, François Brun, Marc Raynal, David Makowski

    Diterbitkan 2020-01-01
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  3. 3
    Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: a prospective cohort study of British older adults

    Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: a prospective cohort study of British older adults oleh Séverine Sabia, Aline Dugravot, Vincent T van Hees, Manasa Shanta Yerramalla, Mathilde Chen

    Diterbitkan 2024-04-01
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  4. 4
    Evidence map of the benefits of enhanced-efficiency fertilisers for the environment, nutrient use efficiency, soil fertility, and crop production

    Evidence map of the benefits of enhanced-efficiency fertilisers for the environment, nutrient use efficiency, soil fertility, and crop production oleh Mathilde Chen, Andrea Schievano, Simona Bosco, Ana Montero-Castaño, Giovanni Tamburini, Marta Pérez-Soba, David Makowski

    Diterbitkan 2023-01-01
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  5. 5
    Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study

    Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study oleh Quentin Le Cornu, Mathilde Chen, Vincent van Hees, Damien Léger, Aurore Fayosse, Manasa S. Yerramalla, Séverine Sabia

    Diterbitkan 2022-12-01
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  6. 6
    Synthesising results of meta-analyses to inform policy: a comparison of fast-track methods

    Synthesising results of meta-analyses to inform policy: a comparison of fast-track methods oleh David Makowski, Rui Catarino, Mathilde Chen, Simona Bosco, Ana Montero-Castaño, Marta Pérez-Soba, Andrea Schievano, Giovanni Tamburini

    Diterbitkan 2023-08-01
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  7. 7
    Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

    Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study oleh Marcos D. Machado-Fragua, Benjamin Landré, Mathilde Chen, Aurore Fayosse, Aline Dugravot, Mika Kivimaki, Séverine Sabia, Archana Singh-Manoux

    Diterbitkan 2022-09-01
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  8. 8
    Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus studyResearch in context

    Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II acce... oleh Mathilde Chen, Benjamin Landré, Pedro Marques-Vidal, Vincent T. van Hees, April C.E. van Gennip, Mikaela Bloomberg, Manasa S. Yerramalla, Mohamed Amine Benadjaoud, Séverine Sabia

    Diterbitkan 2023-01-01
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  9. 9
    Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults

    Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults oleh Manasa S. Yerramalla, Duncan E. McGregor, Vincent T. van Hees, Aurore Fayosse, Aline Dugravot, Adam G. Tabak, Mathilde Chen, Sebastien F. M. Chastin, Séverine Sabia

    Diterbitkan 2021-07-01
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  10. 10
    Evidence library of meta-analytical literature assessing the sustainability of agriculture – a dataset

    Evidence library of meta-analytical literature assessing the sustainability of agriculture – a dataset oleh Andrea Schievano, Marta Pérez-Soba, Simona Bosco, Ana Montero-Castaño, Rui Catarino, Mathilde Chen, Giovanni Tamburini, Beatrice Landoni, Otho Mantegazza, Irene Guerrero, Maria Bielza, Michael Assouline, Renate Koeble, Frank Dentener, Marijn Van der Velde, Carlo Rega, Andrea Furlan, Maria Luisa Paracchini, Franz Weiss, Vincenzo Angileri, Jean-Michel Terres, David Makowski

    Diterbitkan 2024-09-01
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