13 hasil untuk "Mathilde Chen"
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Artikel Jurnal
Comparison of methods to aggregate climate data to predict crop yield: an application to soybean
High-dimensional climate data collected on a daily, monthly, or seasonal time step are now commonly used to predict crop yields worldwide with standard statistical models or machine learning models. Since the use of all available individual climate variables generally leads to calculation problems…
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Artikel Jurnal Teks lengkap
Forecasting severe grape downy mildew attacks using machine learning.
Grape downy mildew (GDM) is a major disease of grapevine that has an impact on both the yields of the vines and the quality of the harvested fruits. The disease is currently controlled by repetitive fungicide treatments throughout the season, especially in the Bordeaux vineyards where the average…
Juga tersedia di: PLOS
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Artikel Jurnal
Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: a prospective cohort study of British older adults
Objectives We identified profiles of wake-time movement behaviours (sedentary behaviours, light intensity physical activity and moderate-to-vigorous physical activity) based on accelerometer-derived features among older adults and then examined their association with all-cause mortality.Methods…
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Artikel Jurnal
Evidence map of the benefits of enhanced-efficiency fertilisers for the environment, nutrient use efficiency, soil fertility, and crop production
The identification of sustainable fertilisation practices is essential to reduce agriculture’s impact on the environment while insuring sufficient crop production. The use of enhanced efficiency fertilisers (EEFs) is thought to improve nitrogen (N)-fertiliser uptake by crops while reducing nutrient…
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Artikel Jurnal
Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study
Abstract Background Ageing is accompanied by changes in sleep, while poor sleep is suggested as a risk factor for several health outcomes. Non-pharmacological approaches have been proposed to improve sleep in elderly; their impact remains to be investigated. The aim of this study was to examine the…
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Artikel Jurnal
Synthesising results of meta-analyses to inform policy: a comparison of fast-track methods
Abstract Statistical synthesis of data sets (meta-analysis, MA) has become a popular approach for providing scientific evidence to inform environmental and agricultural policy. As the number of published MAs is increasing exponentially, multiple MAs are now often available on a specific topic…
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Artikel Jurnal
Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study
Abstract Background Age is the strongest risk factor for dementia and there is considerable interest in identifying scalable, blood-based biomarkers in predicting dementia. We examined the role of midlife serum metabolites using a machine learning approach and determined whether the selected…
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Artikel Jurnal
Circadian rhythm profiles derived from accelerometer measures of the sleep-wake cycle in two cohort studies
Abstract Accelerometers allow objective measures of dimensions (rest-activity rhythm (RAR), daytime activity, sleep, and chronotype) of the bio-behavioural manifestation of circadian rhythm (CR) using multiple metrics in large-scale studies. These dimensions are rarely examined together due to…
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Artikel Jurnal
Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults
Abstract Background Moderate-to-vigorous physical activity (MVPA) is proposed as key for cardiovascular diseases (CVD) prevention. At older ages, the role of sedentary behaviour (SB) and light intensity physical activity (LIPA) remains unclear. Evidence so far is based on studies examining movement…
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Artikel Jurnal
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
Summary: Background: Identification of new physical activity (PA) and sedentary behaviour (SB) features relevant for health at older age is important to diversify PA targets in guidelines, as older adults rarely adhere to current recommendations focusing on total duration. We aimed to identify…
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Artikel Jurnal
The quality of meta-analyses in agricultural sustainability has been increasing, but weaknesses persist
Abstract Meta-analyses (MAs) are needed to inform agricultural policies on sustainable farming practices (FPs). This study assesses the quality against established criteria of 570 MAs published from 2000-2023 and included in the recently published “JRC-Farming Practices Evidence Library”. We find…
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Artikel Jurnal
Evidence library of meta-analytical literature assessing the sustainability of agriculture – a dataset
Abstract In the last two decades, an exponentially growing number of meta-analyses (MAs) synthesize thousands of peer-reviewed studies on the environmental impacts of farming practices (FPs). This paper describes the iMAP-FP evidence library, a comprehensive dataset on the effects of 34 categories…