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| 1 | Preparation of amino-functionalized silica in aqueous conditions显示文摘 | Cuoq F Masion A Labille J Rose J Ziarelli F Prelot B Bottero J Y | 2013 | Applied Surface Science2013，266，： | 1 |
| 2 | Improved solid-state NMR quantiflcations of active principles in pharmaceutical formulations 显示文摘 | Sanchez S Ziarelli F Viel S | 2008 | J Pharm Biomed Anal2008，47，45： | 1 |
| 3 | Probing the motional behavior of eumelanin and pheomelanin with solid-state NMR spectroscopy:new insights into the pigment properties显示文摘 | THUREAU P ZIARELLI F THéVAND A | 2012 | Chemistry2012，18，10： | 1 |
| 4 | Precision and sensitivity optimization of quantitative measurements in solid state NMR显示文摘 | ZIARELLI F VIEL S SANCHEZ S | | 0，，02： | 1 |
| 5 | Characterization of a Mediterranean litter by 13C CPMAS NMR:relationships between litter depth,enzyme activities and temperature显示文摘 | Alarcón-Gutiérrez E Floch C Ziarelli F | | 0，，03： | 1 |
| 6 | Effects of anthracene on microbial activities and organic matter decomposition in a Pinus halepensis litter from a Mediterranean coastal area显示文摘 | Leila Qasemian Daniel Guiral Fabio Ziarelli Thi Kieu Van Dang Anne-Marie Farnet | 2011 | Soil Biology and Biochemistry2011，，： | 1 |
| 7 | Synthesis of polystyrene-grafted celluloseacetate copolymers via nitroxide-mediatedpolymerization 显示文摘 | MOREIRA G FEDELI E ZIARELLI F | 2015 | Polym Chem2015，6，： | 1 |
| 8 | Solid-state C-13 NMR to assess organic matter transformation in a subsurface wetland under cheese-dairy farm effluents 显示文摘 | Farnet A M Prudent P Ziarelli F | 2010 | Bioresource Technology2010，100，20： | 1 |
| 9 | Enhanced diffusion-edited NMR spectroscopy of mixtures using chromatographicstationary phases显示文摘 | Viel S Ziarelli F Caldarelli S | 2003 | Proc Natl Acad Sci USA2003，100，17： | 1 |
| 10 | New Insights into on Hydroxylated ZnO Nanopowders显示文摘 | Bressy C Ngo V G Ziarelli F | 2012 | Langrauir2012，28，6： | 1 |
| 11 | Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out:An application to the Italian scenario显示文摘In the context of SARS-CoV-2 pandemic,mathematical modelling has played a funda-mental role for making forecasts,simulating scenarios and evaluating the impact of pre-ventive political,social and pharmaceutical measures.Optimal control theory represents a useful mathematical tool to plan the vaccination campaign aimed at eradicating the pandemic as fast as possible.The aim of this work is to explore the optimal prioritisation order for planning vaccination campaigns able to achieve specific goals,as the reduction of the amount of infected,deceased and hospitalized in a given time frame,among age classes.For this purpose,we introduce an age stratified SIR-like epidemic compartmental model settled in an abstract framework for modelling two-doses vaccination campaigns and conceived with the description of COVID19 disease.Compared to other recent works,our model incorporates all stages of the COVID-19 disease,including death or recovery,without accounting for additional specific compartments that would increase computa-tional complexity and that are not relevant for our purposes.Moreover,we introduce an optimal control framework where the model is the state problem while the vaccine doses administered are the control variables.An extensive campaign of numerical tests,featured in the Italian scenario and calibrated on available data from Dipartimento di Protezione Civile Italiana,proves that the presented framework can be a valuable tool to support the planning of vaccination campaigns.Indeed,in each considered scenario,our optimization framework guarantees noticeable improvements in terms of reducing deceased,infected or hospitalized individuals with respect to the baseline vaccination policy. | Giovanni Ziarelli Luca Dede’ Nicola Parolini Marco Verani Alfio Quarteroni | 2023 | Infectious Disease Modelling2023，8，3： | 0 |
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