8 Result(s)
within
Gavin Shaddick
English
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Article
Prioritize environmental sustainability in use of AI and data science methods
Artificial Intelligence (AI) and data science will play a crucial role in improving environmental sustainability, but the energy requirements of these methods will have an increasingly negative effect on the e...
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Article
Publisher Correction: Dietary shifts can reduce premature deaths related to particulate matter pollution in China
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Article
Dietary shifts can reduce premature deaths related to particulate matter pollution in China
Shifting towards more meat-intensive diets may have indirect health consequences through environmental degradation. Here we examine how trends in dietary patterns in China over 1980–2010 have worsened fine par...
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Open AccessIncorporating High-Dimensional Exposure Modelling into Studies of Air Pollution and Health
Performing studies on the risks of environmental hazards on human health requires accurate estimates of exposures that might be experienced by the populations at risk. Often there will be missing data and in m...
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Open AccessHow Much Rugby is Too Much? A Seven-Season Prospective Cohort Study of Match Exposure and Injury Risk in Professional Rugby Union Players
Numerous studies have documented the incidence and nature of injuries in professional rugby union, but few have identified specific risk factors for injury in this population using appropriate statistical meth...
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A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe
Ambient concentrations of many pollutants are associated with emissions due to human activity, such as road transport and other combustion sources. In this paper we consider air pollution as a multi-level phen...
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Mortality in systemic sclerosis—a single centre study from the UK
This study aims to determine the cause and predictors of mortality in a cohort of patients with systemic sclerosis (SSc) and assess whether the mortality rate differs significantly from the general population....
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A framework for predicting personal exposures to environmental hazards
This paper presents a general framework for constructing a predictive distribution of the exposure to an environmental hazard sustained by a randomly selected member of a designated population. The individual’...
