Publications by authors named "Lucie Michel"

Pollutant biomonitoring demands analytical methods to cover a wide range of target compounds, work with minimal sample amounts, and apply least invasive and reproducible sampling procedures. We developed a method to analyse 68 bioaccumulative organic pollutants in three seabird matrices: plasma, liver, and stomach oil, representing different exposure phases. Extraction efficiency was assessed based on recoveries of spiked surrogate samples, then the method was applied to environmental samples collected from Scopoli's shearwater (Calonectris diomedea).

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Background: Social behavior and social organization have major influences on individual health and fitness. Yet, biomedical research focuses on studying a few genotypes under impoverished social conditions. Understanding how lab conditions have modified social organizations of model organisms, such as lab mice, relative to natural populations is a missing link between socioecology and biomedical science.

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The parasitic is considered a major pathogenic threat to honey bees and to beekeeping. Without regular treatment against this mite, honey bee colonies can collapse within a 2-3-year period in temperate climates. Beyond this dramatic scenario, Varroa induces reductions in colony performance, which can have significant economic impacts for beekeepers.

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This article showcases the realities and challenges of teamwork in American hospitals based on the in situ comparison with France. Drawing on observation of nurse-physician interactions in hospitals in the two nations, this article highlights a troubling conflict between teamwork rhetoric and realities on the ward. Although the use of informatics systems such as electronic health records is supposed to increase cooperation, the observations presented here show that on the contrary, it inhibits communication that is becoming mainly virtual.

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Aim: To investigate the content and meaning of nurses' administrative work.

Background: Nurses often report that administrative work keeps them away from bedside care. The content and meaning of this work remains insufficiently explored.

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The world's population is predicted to exceed nine billion by 2050 and there is increasing concern about the capability of agriculture to feed such a large population. Foresight studies on food security are frequently based on crop yield trends estimated from yield time series provided by national and regional statistical agencies. Various types of statistical models have been proposed for the analysis of yield time series, but the predictive performances of these models have not yet been evaluated in detail.

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