Valutazione dell'evoluzione della componente fenolica di Olea Europaea durante l'intero ciclo di maturazione del frutto

This PhD thesis is related to the evolution of phenolic composition of olive fruit to demonstrate the relationship between the raw material sources and the compounds responsible for the healthy and sensory properties of virgin olive oil, and to investigate the mechanisms involved in the synthesis and/or in the degradation of the phenolic fraction. On the basis of phenolic compositions of twelve Italian olive cultivars (Bianchella, Canino, Coratina, Dolce di Andria, Dritta, Frantoio, Leccino, Moraiolo, Nocellara del Belice, Nocellara Etnea, Rosciola and Tendellone) analysed, some significative qualitative and quantitative differences were observed. The main results were utilized, during the following analysis of the genetic expressions of olive cultivars, to determine the genes directly involved in the synthesis and the degradation of the phenolic fraction during the different fruit ripening stages. On the basis of the results about the evolution of phenolic compounds of olive drupes a research program aimed to identify the genes involved in the biosynthesis pathways of fruit secoiridoids, was developed by the CNR-Institute of Plant Genetics, Perugia.

Educational mismathc in Italian an European labour markets (starting from the UK)

The present doctoral thesis is structured as a collection of three essays. The first essay, “SOC(HE)-Italy: a classification for graduate occupations” presents the conceptual basis, the construction, the validation and the application to the Italian labour force of the occupational classification termed SOC(HE)-Italy. I have developed this classification under the supervision of Kate Purcell during my period as a visiting research student at the Warwick Institute for Emplyment Research. This classification links the constituent tasks and duties of a particular job to the relevant knowledge and skills imparted via Higher Education (HE). It is based onto the SOC(HE)2010, an occupational classification first proposed by Kate Purcell in 2013, but differently constructed. In the second essay “Assessing the incidence and wage effects of overeducation among Italian graduates using a new measure for educational requirements” I utilize this classification to build a valid and reliable measure for job requirements. The lack of an unbiased measure for this dimension constitutes one of the major constraints to achieve a generally accepted measurement of overeducation. Estimations of overeducation incidence and wage effects are run onto AlmaLaurea data from the survey on graduates career paths. I have written this essay and obtained these estimates benefiting of the help and guidance of Giovanni Guidetti and Giulio Pedrini. The third and last essay titled “Overeducation in the Italian labour market: clarifying the concepts and addressing the measurement error problem” addresses a number of theoretical issues concerning the concepts of educational mismatch and overeducation. Using Istat data from RCFL survey I run estimates of the ORU model for the whole Italian labour force. In my knowledge, this is the first time ever such model is estimated on such population. In addition, I adopt the new measure of overeducation based onto the SOC(HE)-Italy classification.