Publications by authors named "P Bonvicini"

Background: Given their sensitivity to environmental alterations, odonates act as reliable bioindicators to assess the effects of changes in freshwater ecosystems and associated terrestrial habitats. The region comprised between Lario and Brianza (Provinces of Como, Lecco and Monza and Brianza - Lombardy, N Italy) is one of the most urbanised of the Italian peninsula and large parts of its territory have been heavily altered, especially at low elevation. Despite this pervasive anthropogenisation, the area is still characterised by a considerable variety of freshwater habitats, possibly harbouring rich odonate communities, which, however, have been never thoroughly investigated.

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Biobanks have established a critical role in biomedical research by collecting, preserving, organizing, and disseminating biospecimens and related health data, contributing to precision medicine development. Participation in biobanks is influenced by several factors, such as trust in institutions and scientists, knowledge about biobanking, and the consideration of benefit sharing. Understanding public attitudes, fears, and concerns toward biobanking is fundamental to designing targeted interventions to increase trust towards biobanks.

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Circulating leptin concentrations are shown to be influenced not only by hormones, but also by body weight and energy balance. High altitude (HA) exposure induces a daily negative energy balance and stress hormone activation. The aim of our study was to evaluate leptin concentration during both acute and prolonged HA exposure and its correlations with some metabolic and hormonal parameters.

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Among the various models proposed to meet requirements for metrological performance in clinical laboratory measurements, that most widely used is intra- and inter-biological variation. However, this model has weaknesses: a) in some cases, intra-individual biological variation is so small that requirements based on such data may not be met by routine methods; b) there is great variation among the intra- and inter-individual biological variations themselves. We therefore propose integration between "state-of-the-art" methods to minimize imprecision, and also suggest that requirements calculated on the basis of biological variations should be used in setting requirements for minimizing imprecision.

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