Effects of photoperiod and feeding regimes on Neuropeptide Y (NPY) and Agouti-related Protein (AgRP) expression in central areas of senegalese sole, Solea senegalensis

In the present study, we have tried to expand our knowledge about the endocrine mechanisms that regulate feeding and growth in cultured fish, which could be relevant for the improvement of fish farming conditions and feeding strategies. In order to reach this goal, we have investigated some orexigenic hormones, Neuropeptide Y (NPY) and the paralogues of Agouti-related protein, (AgRP1, AgRP2) in Solea senegalensis, an important species for Mediterranean aquaculture. We focused on hormones synchronization to different feeding regimes (diurnal vs nocturnal and random feeding) and photoperiod (light-dark cycle vs constant darkness). Therefore, the achieved results could also be relevant from a chronobiological perspective. Solea senegalensis specimen were reared in two different photoperiods, i.e.LD Light-Dark conditions as well as in DD conditions (constant darkness) along with different feeding regimes (fed at ML, Med and RND times), so to determine if mRNA expression of orexigenic hormones (NPY, AgRP1 and AgRP2) are entrained by feeding time and/or photoperiod. Our results show an independence of npy mRNA expression from the feeding time and suggest an endogenous control of npy expression in telencephalon of sole, while in optice tectum, npy expression could be entrained by the light-dark cycle. Our results on Senegalese sole AgRP1 and AgRP2 showed the same pattern of expression, indicating that expression of AgRPs is related to photoperiod in optic tectum, instead to feeding time. However the involvement of AgRP1 and AgRP2 in feeding behaviour should not be discarded in sole, as further research will be carried out with specimens maintained under different fasting conditions. our results reinforce the role of the telencephalon as the main neural area involved in the neuroendocrine control of food intake in fish, where endogenous NPY rhythms have been found, while diencephalon statistical variations weren’t observed suggesting that this brain area could be less involved in the neuroendocrine control of food intake in fish than previously thought.

Private sensors and crowdsourced rainfall data: accuracy and effectiveness for monitoring severe events and mapping pluvial flooding in urban areas

The increasing number of extreme rainfall events, combined with the high population density and the imperviousness of the land surface, makes urban areas particularly vulnerable to pluvial flooding. In order to design and manage cities to be able to deal with this issue, the reconstruction of weather phenomena is essential. Among the most interesting data sources which show great potential are the observational networks of private sensors managed by citizens (crowdsourcing). The number of these personal weather stations is consistently increasing, and the spatial distribution roughly follows population density. Precisely for this reason, they perfectly suit this detailed study on the modelling of pluvial flood in urban environments. The uncertainty associated with these measurements of precipitation is still a matter of research. In order to characterise the accuracy and precision of the crowdsourced data, we carried out exploratory data analyses. A comparison between Netatmo hourly precipitation amounts and observations of the same quantity from weather stations managed by national weather services is presented. The crowdsourced stations have very good skills in rain detection but tend to underestimate the reference value. In detail, the accuracy and precision of crowd- sourced data change as precipitation increases, improving the spread going to the extreme values. Then, the ability of this kind of observation to improve the prediction of pluvial flooding is tested. To this aim, the simplified raster-based inundation model incorporated in the Saferplaces web platform is used for simulating pluvial flooding. Different precipitation fields have been produced and tested as input in the model. Two different case studies are analysed over the most densely populated Norwegian city: Oslo. The crowdsourced weather station observations, bias-corrected (i.e. increased by 25%), showed very good skills in detecting flooded areas.

Fair trade e sviluppo sostenibile - Il caso del te di DaZhang montagna

Commercio equo e sviluppo sostenibile sono importanti questioni di attualità a livello globale. Il commercio equo si concentra sulla protezione dei diritti dei lavoratori e dei contadini nel commercio internazionale, migliorando la qualità della loro vita e aumentando le opportunità di sviluppo attraverso il pagamento di un salario equo. Lo sviluppo sostenibile considera invece una prospettiva più ampia, mirando a proteggere l'ambiente, promuovere lo sviluppo sociale ed economico e fornire risorse e ambiente sostenibili per le future generazioni. Questa tesi ha come obiettivo analizzare il caso dei tè biologici della montagna DaZhang, integrando l'analisi dell'impatto del commercio equo sulla lotta alla povertà e sulla promozione della giustizia commerciale, e confrontando orizzontalmente i criteri di sviluppo sostenibile. In questo modo, verrà riassunta la relazione tra commercio equo e sviluppo sostenibile.