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UNIVERSITA DEGLI STUDI DI PARMA

Country: Italy

UNIVERSITA DEGLI STUDI DI PARMA

124 Projects, page 1 of 25
  • Funder: EC Project Code: 101106709
    Funder Contribution: 265,099 EUR

    Financial literacy is necessary to spend our money wisely and understand how financial instruments work. In an increasingly complex financial landscape, today only half of the EU adult population has an adequate understanding of basic financial concepts. EduMoney tackles this issue from a historical perspective to offer the first systematic, comprehensive, and digital analysis of the skills and knowledge underpinning financial literacy during another period of increasing financial complexity: the medieval ‘Commercial Revolution’. The focus is on money ‘itself’, and how this was deployed and represented in Tuscan abacus manuals and merchants’ notebooks, the pedagogical tools of the time. The project analyses the period between 1202, when Fibonacci completed his Liber Abaci, and 1478, when the first printed abacus manual known as Aritmetica di Treviso was published. By adopting an interdisciplinary approach that combines methods from economic history, medieval literature, and the history of economic thought, with the support of the latest digital platforms for text analysis, I will digitise, transcribe, and translate a selected corpus of abacus manuals and merchants’ notebooks. This will allow a comparative and digital study of these sources to identify (cross-)references to money that will be grouped into ‘typological families’. The resulting categorisation will form the basis for an in-depth analysis leading to an innovative treatment of money as a heuristic and pedagogical instrument, and to a more holistic understanding of how people lived, learnt, and conceptualised their lives as economic actors. The enhancement of financial literacy among different age groups through a series of didactic and outreach activities will empower people by endowing them with the right tools to make informed decisions to improve their economic wellbeing, thus tackling social and gender inequalities for the development of a more inclusive Europe.

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  • Funder: EC Project Code: 894750
    Overall Budget: 171,473 EURFunder Contribution: 171,473 EUR

    Innovative heat transport devices are needed to break-though the increasing need for smaller, faster and lighter microelectronic apparatus. A Pulsating Heat Pipe (PHP) is a promising two-phase passive loop device that has many advantages such as high heat transfer capacity, construction simplicity, lightweight, and low-cost. However, the practical use of PHP has been limited due to insufficiency of design tools, i.e. predictive models for hydrodynamic and heat transfer phenomena. The aim of this proposal is to establish a universal model to predict operating limit of PHP and provide an optimal design solution that maximize PHP heat transport capability. An innovative approach using advanced measurements with high-resolution and high-speed infrared cameras and Inverse Heat Conduction Problem (IHCP) techniques will be taken to reveal the local thermal phenomena of the liquid-vapor interaction and obtain important physical parameters to implement the model. Both an experimental and a modelling approach will be used to reach the project goal. The project will bring together two complementary set of skills, with the researcher’s expertise in PHPs and the supervisor’s expertise in thermal tomography. In addition, a secondment in a leading company of two-phase thermal devices is foreseen, to increase the researcher’s competence in manufacturing and testing. The fellowship will support the researcher’s professional development to be a leader in the thermal fluid dynamics field. The impact of the action will be maximized with scientific publications as well as a broad range of outreach activities such as video pills and public talks to non-technical audiences, with a special target to young females to booster research careers in technology and engineering. Results of this MSCA have the potential to strengthen the European research and industrial leadership, promoting the use of PHP in several industrial applications, including aerospace, automotive and energy sectors.

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  • Funder: EC Project Code: 950050
    Overall Budget: 2,309,520 EURFunder Contribution: 2,309,520 EUR

    The increased burden of cardiometabolic diseases is a major societal challenge worldwide. Plant-based diets, rich in bioactive compounds such as (poly)phenols, may promote cardiometabolic health. However, the preventive effects of these bioactives depend on the individual capacity to produce, and respond to, (poly)phenol metabolites. This heterogeneity in the individual response to the consumption of (poly)phenols is the main hindrance to exploit their potential for the prevention of cardiometabolic diseases through effective dietary strategies. I aim to implement integrative tools for the prediction, at individual level, of the cardiometabolic response to the consumption of dietary (poly)phenols, taking into account inter-individual differences in both metabolism and health effects of these plant food bioactives. My vision is understanding the determinants leading to individual variability in the production of phenolic metabolites and driving cardiometabolic responsiveness to (poly)phenol consumption. I will be identifying comprehensive metabolic phenotypes (metabotypes) for main dietary (poly)phenols and the factors associated with their formation. Then, I will demonstrate the association between phenolic metabotypes and cardiometabolic health. Last, I will develop an integrative, high-throughput platform to identify phenolic metabotypes and to predict cardiometabolic responses to the consumption of dietary (poly)phenols considering individual’s makeup. PREDICT-CARE will develop new concepts, new methodologies and a new analytical platform. It relies on the integration of factors determining inter-individual variability, the deployment of translatable nutrition interventions, and the application of predictive modelling. PREDICT-CARE will lead to long-lasting breakthroughs and will build a new scenario in preventive, evidence-based, personalised nutrition strategies with these major dietary plant bioactives.

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  • Funder: EC Project Code: 101110920
    Funder Contribution: 172,750 EUR

    Cross-diffusion aims at modelling the influence of one species on the diffusion of another one and can be seen as an extension of the standard diffusion described by the Laplacian. It finds application in several fields like physics, chemistry and biology. Of particular interest in the literature is the macroscopic cross-diffusion Shigesada–Kawasaki–Teramoto (SKT) system which is considered the prototypical model to describe the dispersive movement of cross-interacting species in population dynamics, leading to the formation of spatial patterns (front invasions, segregation effects). Despite their importance and large use in the scientific community, their derivation from a mesoscopic formulation is still missing in the literature and the admissible ranges for the relevant macroscopic coefficients that would be needed for application purposes have not been yet identified. The novel challenge of MesoCroMo is to introduce new biologically meaningful multi-species Boltzmann-type models for competitive dynamics, obtain the first derivation of the SKT system from these kinetic equations in some suitable hydrodynamic limit, from a theoretical and a numerical point of view, and provide explicit relations for the cross-diffusion and reaction coefficients in terms of the mesoscopic parameters. This will be done by redesigning well-known tools and methods from the kinetic theory of reactive gases and creating an innovative bridge between the concept of relaxation to thermodynamic equilibrium for distribution functions in kinetic theory and that of quasi steady state approximation for fast-reaction limits in dynamical systems. The action will be able to gather mathematicians from different communities, give an impulse to existing lines of research and identify new long-term directions. Combined with the experience of the supervisor, the excellent training and the rich environment provided by the host, it will enhance the researcher towards an outstanding career in academia.

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  • Funder: EC Project Code: 250013
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