IRISanRaf

The relational universe of the person at work in post Covid 19 between real and virtual. Educational social pedagogical problems and perspectives.

Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology

Nutritional epidemiology employs observational data to discover associations between diet and disease risk. However, existing analytic methods of dietary data are often sub-optimal, with limited incorporation and analysis of the correlations between the studied variables and nonlinear behaviours in the data. Machine learning (ML) is an area of artificial intelligence that has the potential to improve modelling of nonlinear associations and confounding which are found in nutritional data. Thes...

Brassica fruticulosa Cyr. and Brassica incana Ten. (Brassicaceae) as Mediterranean traditional wild vegetables: a valuable source of bioactive compounds

Two species of Brassicaceae (Crucifer) family, used and appreciated as traditional wild vegetables, including Brassica fruticulosa Cyr. and Brassica incana Ten., were examined as potential source of bioactive volatile compounds. The volatile constituents released by the chopped leaves and roots were extracted and analyzed by solid-phase microextraction–gas chromatography–mass spectrometry (SPME–GC–MS). A large number of volatile constituents were identified: alcohols, aldehydes, esters, acids...

Influence of leaf removal on grape, wine and aroma compounds of Vitis vinifera L. cv. Merlot under Mediterranean climate

Merlot is one of the most cultivated cultivars in the world since it easily adapts to different climatic conditions. Leaf removal (LR) is commonly used for red berry varieties but in cold wine-growing areas and nothing has been reported on the effects of LR on Merlot cultivated under Mediterranean climate. The aim of the research is to evaluate the influence of this technique on grape and wine quality as well as wine aroma potential of Merlot cultivated in Sicily. Vines were subjected to LR f...