Publications by authors named "M Agnoletti"

In this perspective, we present and discuss four major causes of the worldwide nature conservation failure: 1) ideologies based on nature-culture dualism, 2) the bias prioritising forests in conservation, 3) the illusory objectiveness of selected biological indicators, and 4) the mismanagement of rural agricultural landscapes. All of these relate to ignorance of historical ecology and neglect of the role past plays in shaping landscapes and fostering biodiversity. These led to a false anthropology focussed on the broader human economy (including agriculture) as the absolute culprit of biodiversity loss.

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In the present study, we investigate the combined interaction of mesoporous silica (SiO) and photocatalytic titanium dioxide (TiO) nanoparticles with lipid membranes, using neutron reflectometry (NR), cryo-transmission electron microscopy (cryo-TEM), fluorescence oxidation assays, dynamic light scattering (DLS), and ζ-potential measurements. Based on DLS, TiO nanoparticles were found to display strongly improved colloidal stability at physiological pH of skin (pH 5.4) after incorporation into either smooth or spiky ("virus-like") mesoporous silica nanoparticles at low pH, the latter demonstrated by cryo-TEM.

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Conjugation with poly(ethylene glycol) ("PEGylation") is a widely used approach for improving the therapeutic propensities of peptide and protein drugs through prolonging bloodstream circulation, reducing toxicity and immunogenicity, and improving proteolytic stability. In the present study, we investigate how PEGylation affects the interaction of host defense peptides (HDPs) with bacterial lipopolysaccharide (LPS) as well as HDP suppression of LPS-induced cell activation. In particular, we investigate the effects of PEGylation site for KYE28 (KYEITTIHNLFRKLTHRLFRRNFGYTLR), a peptide displaying potent anti-inflammatory effects, primarily provided by its N-terminal part.

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With the growing emergence of ergonomic intervention aiming at designing future artefacts, needs analysis is extending to the anticipation of future needs. Both precursory users and experts are known for their deep knowledge of the studied field. In this study, we conducted 36 needs anticipation interviews with ordinary users, precursory users and experts, in order to determine the contribution of each profile to the identification of future needs.

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Throughout the covid-19 emergency, health authorities have presented contagion data divided by administrative regions with no reference to the type of landscape, environment or development model. This study has been conducted to understand whether there is a correlation between the number of infections and the different rural landscapes of the country. Italy's rural landscape can be classified in four types, according to the intensity of energy inputs used in the agricultural process, socioeconomic and environmental features.

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