PAPERS & PROJECTS

PAPERS

2024

  • Magrini, A; Subbian, G; Radespiel, R; Benini; E. Powered turbofan effects on aircraft aerodynamics at high-lift: A study on the NASA CRM-HL, Aerospace Science and Technology, 2024, 144, 108825, https://doi.org/10.1016/j.ast.2023.108825
  • Luca Vecchiato, Matteo Negri, Giulio Picci, Luca Viale, Giulio Zaltron, Stefano Giacometti and Giovanni Meneghetti, Design and development of a brake test bench for FSAE race cars, MDPI Machines, 2024, under review
  • Zampieri C. A multi-model framework to inform the conservation of Chondrichthyes and explore the ecological impacts of their restoration in the Mediterranean Sea. PhD Thesis in Biosciences, University of Padova, 2024; Under review.
  • Zampieri C, Mazzoldi C, Raicevich S, Barausse A. Individual-Based Modelling to fine-tune management measures for commercial demersal sharks. Environ Model Softw. 2024; in preparation (to be submitted by February 2024)
  • Vallini L, Zampieri C, Shoaee MJ, Bortolini E, Marciani G, Aneli S, Pievani T, Benazzi S, Barausse A, Mezzavilla M, Petraglia MD, Pagani L. The Persian Plateau served as Hub for Homo sapiens after the main Out of Africa dispersal. Nat Commun. 2024; accepted in principle.
  • Vito Coviello, Denis Badocco, Paolo Pastore, Martina Fracchia, Paolo Ghigna, Alessandro Martucci, Daniel Forrer & Vincenzo Amendola; Accurate prediction of the optical properties of nanoalloys with both plasmonic and magnetic elements. Nature Communications 15, 834 (2024). https://doi.org/10.1038/s41467-024-45137-x

2023

  • Revignas D, Ferrarini A., Spontaneous twisting of achiral hard rod nematics, Phys. Rev. Lett. 2023; 130:028102
  • Andrea Franceschini, Laura Gazzola, Massiliano Ferronato, A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures. JC
  • Andrea Franceschini, Claudia Zoccarato, Selena Baldan, Matteo Frigo, Massimiliano Ferronato, Carlo Janna, Giovanni Isotton, Pietro Teatini, Unexpected fault activation in underground gas storage. Part I: Mathematical model and mechanisms, submitted to JCP.
  • Selena Baldan, Massimiliano Ferronato, Andrea Franceschini, Carlo Janna, Claudia Zoccarato, Matteo Frigo, Giovanni Isotton, Cristiano Collettini, Vera Rocca, Francesca Verga, Pietro Teatini, Unexpected fault activation in underground gas storage. Part II: Definition of safe operational bandwidths. In preparation.
  • Tavazzi E, Gatta R, Vallati M, Cotti Piccinelli S, Filosto M, Padovani A, Castellano M, Di Camillo B. Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. BMC Med Inform Decis Mak. 2023 Feb 2;22(Suppl 6):346. doi: 10.1186/s12911-023-02113-7. PMID: 36732801; PMCID: PMC9896660.
  • Guazzo A, Longato E, Fadini GP, Morieri ML, Sparacino G, Di Camillo B. Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text. Sci Rep. 2023 Nov 5;13(1):19132. doi: 10.1038/s41598-023-45115-1. PMID: 37926737; PMCID: PMC10625981.
  • Guazzo A, Longato E, Fadini GP, Morieri ML, Sparacino G, Di Camillo B. Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text. Sci Rep. 2023 Nov 5;13(1):19132. doi: 10.1038/s41598-023-45115-1. PMID: 37926737; PMCID: PMC10625981.
  • Panariello F, Gagliano O, Luni C, Grimaldi A, Angiolillo S, Qin W, Manfredi A, Annunziata P, Slovin S, Vaccaro L, Riccardo S, Bouche V, Dionisi M, Salvi M, Martewicz S, Hu M, Cui M, Stuart H, Laterza C, Baruzzo G, Schiebinger G, Di Camillo B, Cacchiarelli D, Elvassore N. Cellular population dynamics shape the route to human pluripotency. Nat Commun. 2023 May 17;14(1):2829. doi: 10.1038/s41467-023-37270-w. PMID: 37198156; PMCID: PMC10192362.
  • Baruzzo G, Serafini A, Finotello F, Sanavia T, Cioetto-Mazzabò L, Boldrin F, Lavezzo E, Barzon L, Toppo S, Provvedi R, Manganelli R, Di Camillo B. Role of the Extracytoplasmic Function Sigma Factor SigE in the Stringent Response of Mycobacterium tuberculosis. Microbiol Spectr. 2023 Mar 22;11(2):e0294422. doi: 10.1128/spectrum.02944-22. Epub ahead of print. PMID: 36946740; PMCID: PMC10100808.
  • Lamzouri Y, Languasco A. Small Values of |L’/L(1,χ)|. Experimental Mathematics 2023; 32(2):362-377. DOI: 10.1080/10586458.2021.1927255
  • Francesco De Vanna, Alberto Benato, Giovanna Cavazzini. Preliminary design gui- delines for a vortex-based energy harvester for water flows, ECOS 2023 – the 36rd Inter- national Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2023, https://doi.org/10.52202/069564-0052
  • Magrini, A.; Buosi, D.; Poltronieri, F.; De Leo, E.; Benini, E. CFD-Based Analysis of Installed Fuel Consumption and Aerodynamics of Transonic Transport Aircraft during Cruise Flight. Energies 2023, 16, 3323. https://doi.org/10.3390/en16083323
  • Ferrarini A, Revignas D. Spontaneous twisting of achiral hard rod nematics. Phys. Rev. Lett. 2023; 130:028102
  • Ferrarini A, Revignas D. On the elusive saddle–splay and splay–bend elastic constants of nematic liquid crystals. J. Chem. Phys. 2023; 159:034905
  • Casoni, M, Benini, E, & Magrini, A. “Development of a Reduced Order Model Based on Aerodynamic Influence Coefficients to Simulate Aeroelastic Phenomena in Axial Compressor Blades.” Proceedings of the ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. Volume 11A Boston, Massachusetts, USA. June 26–30, 2023. ASME. https://doi.org/10.1115/GT2023-101894
  • Padovan, M., Foletto, G., Coccia, L., Avesani, M., Villoresi, P., & Vallone, G. (2023). Geometry of sequential quantum correlations and robust randomness certification. arXiv preprint arXiv:2309.12286.
  • Bertapelle, T., Avesani, M., Santamato, A., Montanaro, A., Chiesa, M., Rotta, D., … & Villoresi, P. (2023). High-speed Source-Device-Independent Quantum Random Number Generator on a chip. arXiv preprint arXiv:2305.12472.
  • Baldoin, E., Zullo, G., Koptyug, A., & Petrone, N. (2023). The role of additive manufacturing in the development of a biofidelic Instrumented Human Head Surrogate for impact tests. Transactions on Additive Manufacturing Meets Medicine, 5(1), 831. https://doi.org/10.18416/AMMM.2023.2309831

2022

  • Front. Mar. Sci., 17 November 2022, Sec. Marine Ecosystem Ecology, Volume 9 – 2022, https://doi.org/10.3389/fmars.2022.1009490
  • D Shenaj, F Barbato, U Michieli, P Zanuttigh, Continual coarse-to-fine domain adaptation in semantic segmentation, Image and Vision Computing 121, 104426, 2022
  • Li, Y., Friedman, N., Teatini, P. et al. Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping. Stoch Environ Res Risk Assess 36, 3911–3928 (2022). https://doi.org/10.1007/s00477-022-02237-8
  • Bolzati C., Salvarese N., Spolaore B., Vittadini A., Forrer D., Brunello S., Ghiani S., Maiocchi A., “Water-Soluble [Tc(N)(PNP)] Moiety for Room-Temperature 99mTc Labeling of Sensitive Target Vectors” Mol. Pharmaceutics 2022, 19, 3, 876–894
  • Agostinis F, Romualdi C, Sales G, Risso D. NewWave: a scalable R/Bioconductor package for the dimensionality reduction and batch effect removal of single-cell RNA-seq data. Bioinformatics. 2022 Apr 28;38(9):2648-2650. doi: 10.1093/bioinformatics/btac149
  • Pavan PG, Nasim M, Brasco V, Spadoni S, Paoloni F, d’Avella D, Khosroshahi SF, et al. Development of detailed finite element models for in silico analyses of brain impact dynamics. Comput. Meth. Prog. Bio. 2022;227:107225. DOI: https://doi.org/10.1016/j.cmpb.2022.107225
  • Nasim M, Spadoni S, Pavan PG, Brasco V, Galvanetto U. Helmets with lattice liners can mitigate traumatic brain injury from impacts. Ann. Biomed. Eng. Submitted.
  • Magrini, A, Buosi D, Benini E Analysis of Ultra-High Bypass Ratio Turbofan Nacelle Geometries With Conventional and Short Intakes at Take-Off and Cruise. Proceedings of the ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. Volume 10C. June 13–17, 2022. Rotterdam, The Netherlands. https://doi.org/10.1115/GT2022-81912
  • Magrini, A, Buosi D, Benini E Analysis of installation aerodynamics and comparison of optimised configuration of an ultra-high bypass ratio turbofan nacelle. Aerospace Science and Technology. 2022;128. https://doi.org/10.1016/j.ast.2022.107756.
  • Magrini, A, Buosi D, Benini E Aeropropulsive assessment of engine installation at cruise for UHBPR turbofan with body force fan modelling. Aerospace Science and Technology. 2022;132. https://doi.org/10.1016/j.ast.2022.108048
  • Cananzi G, Gregori I, Martino F, Tianshi L, Boscari E, Camatti E, et al. Environmental DNA metabarcoding reveals spatial and seasonal patterns in the fish community in the Venice Lagoon. Frontiers Mar. Sci. 2022; 9:1009490; 
  • Franceschini, A., Gazzola, L., Ferronato, M., A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures. Journal of Computational Physics, 2022, 463, 111276
  • A. Languasco. On computing |L’/L(1,χ)|Rendiconti Sem. Mat. Univ. Pol. Torino, 80:55–71,2022. Proceedings of the fifth Number Theory Meeting, Universita` and Politecnico di Torino, October 26-27th, 2021. http://www.seminariomatematico.polito.it/rendiconti/80-1/Languasco.pdf
  • Yueting Li, Noemi Friedman, Pietro Teatini et al. Sensitivity Analysis of Factors Controlling Earth Fissures Due To Excessive Groundwater Pumping, 25 January 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1232687/v1]
  • Avanzi F, De Vanna F, Ruan Y, Benini E. Enhanced Identification of Coherent Structures in the Flow Evolution of a Pitching Wing. 2022, In: AIAA SCITECH 2022 Forum. American Institute of Aeronautics and Astronautics; DOI: 10.2514/6.2022-0182
  • Faggioli, G., Zendel, O., Culpepper, J. S., Ferro, N., and Scholer, F. (2022). sMare: a New Paradigm to Evaluate and Understand Query Performance Prediction Methods. Information Retrieval Journal
  • Baruzzo G, Cesaro G, Di Camillo B. Identify, quantify and characterize cellular communication from single cell RNA sequencing data with scSeqComm. Bioinformatics. 2022 Jan 19:btac036. doi: 10.1093/bioinformatics/btac036.
  • Insights into the gelation mechanism of metal-coordinated hydrogels by paramagnetic NMR spectroscopy and Molecular Dynamics. V. Gabrielli, R. Baretta, R. Pilot, A. Ferrarini, M. Frasconi. Macromolecules 55, 450 (2022) – DOI: 10.1021/acs.macromol.1c01756
  • Donald Shenaj,Francesco Barbato, Umberto Michieli, Pietro Zanuttigh, “Continual coarse-to-fine domain adaptation in semantic segmentation”, Elsevier Image and Vision Computing, 2022
  • Cristina Bolzati, Nicola Salvarese, Barbara Spolaore, Andrea Vittadini, Daniel Forrer, Simona Ghiani, Alessandro Maiocchi; Water-soluble [Tc(N)(PNP)]-moiety for the 99mTc-click-labeling of sensitive target vectors; Manuscript in preparation
  • Rosani U, Bortoletto E, Montagnani C, Venier P. ADAR-editing during Ostreid herpesvirus 1 infection in Crassostrea gigas: facts and limitations. mSphere 2022;7:e0001122.
  • Lee Y, Cappellato M, Di Camillo B. Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease. Gigascience. 2022 Dec 28;12:giad083. doi: 10.1093/gigascience/giad083. PMID: 37882604; PMCID: PMC10600917.

2021

  • Languasco A. Efficient computation of the Euler–Kronecker constants of prime cyclotomic fields. Res. Number Theory 2021; 7:2.https://doi.org/10.1007/s40993-020-00213-1
  • Dal Monte A., Battiston A., Ponza R., De Vanna F., Picano F., Benini E. Strouhal number effects on pulsating synthetic jet’s entrainment. AIAA Aviation 2021 Forum, August 2-6, 2021.
  • Simone Di Fede, Mirko Magarotto, Shaun Andrews, Marco Manente, Daniele Pavarin. NUMERICAL SIMULATION OF THE PLUME OF A MAGNETICALLY ENHANCED PLASMA THRUSTER. 2021; 7th Edition of the Space Propulsion Conference
  • Ferrante, M., Ferro, N., and Fuhr, N. (2021). Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales.CoRR abs/2101.02668
  • Youness Lamzouri & Alessandro Languasco (2021) Small Values of |L’/L(1,χ)|, Experimental Mathematics, DOI: 10.1080/10586458.2021.1927255
  • A. Languasco, L. Righi – A fast algorithm to compute the Ramanujan-Deninger gamma function and some number-theoretic applications – Mathematics of Computation 90 (2021), 2899-2921.
  • Bortoletto E, Venier P, Shapiro M, Leonardi A, Rosani M. SARS-CoV-2 evasion from ADAR hyper-editing is both genome-encoded and sustained by the virus replication strategy. Research Square preprint DOI:10.21203/RS.3.RS-314516/V1.
  • Di Fede, S., Magarotto, M., Andrews, S., & Pavarin, D. (2021). Simulation of the plume of a magnetically enhanced plasma thruster with SPIS. Journal of Plasma Physics, 87(6), 905870611. doi:10.1017/S0022377821001057

2020

  • J. Alterach, S. Canevese, A. Gatti, M. Rapizza, G. Stella, R. Calisti, G. Cavazzini e S. Casarin, Sviluppo di un modello numerico dinamico di pompaggio idroelettrico ibrido e impostazione metodologica per la localizzazione degli impianti, Ricerca di Sistema, RSE, Prot. 20010322, Milano, 2020.
  • C. Zoccarato, Gazzola, L.; Ferronato, M.; Teatini, P. Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling. Algorithms, 13, 156, 2020.
  • Ferrante, M., Ferro, N., and Losiouk, E. (2020). How do interval scales help us with better understanding IR evaluation measures?  Information Retrieval Journal, 23(3):289-317.

2019

  • Ferro, N., Kim, Y., and Sanderson, M. (2019). Using Collection Shards to Study Retrieval Performance Effect Sizes.  ACM Transactions on Information Systems (TOIS), 37(3):30:1-30:40
  • Ferro, N. and Sanderson, M. (2019). Improving the Accuracy of System Performance Estimation by Using Shards.  In Piwowarski, B., Chevalier, M., Gaussier, E., Maarek, Y., Nie, J.-Y., and Scholer, F., editors, Proc. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), pages 805-814. ACM Press, New York, USA
  • A. Languasco, P. Moree, S. Saad Eddin, A. Sedunova – Computation of the Kummer ratio of the class number for prime cyclotomic fields , Arxiv, 2019.

PROJECTS

  • PRIN-PNRR 2022 – “A digital framework for the cutting of soft tissues: A first step towards virtual surgery”, PI V. Diana – UNIGE, unit PI U. Galvanetto – UNIPD.
  • 2021-2024 European Project H2020: “BRAINTEASER: BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis”
  • Horizon Europe project “Biocean5D”:
    • C. Zampieri’s PhD project “Ecological modelling of elasmobranch population dynamics and their role in the ecosystems of the Mediterranean Sea” at the University of Padova
    • M. Barbato’s PhD project “Movement ecology and essential habitat delineation in Mediterranean sharks” at the University of Padova
  • AIRC Grant, Italian Association for Cancer Research (AIRC): Interrogating metabolic and epigenetic reprogramming in pancreatic cancer initiation (Project ID#: 23029)
  • Transnational Access (TNA) Projects from EASI Genomics: Dissecting epigenetic and cellular memory of inflammation to improve pancreatic cancer prevention (Project ID#: 15158)
  • Course “Advanced topics in scientific and parallel programming with practical application to the CAPRI HPC infrastructure” (20 hours, 5 credits), PhD Program in Information Engineering, XXXVIII series – Department of Information Engineering, University of Padova, Padova, Italy
  • Progetto di dottorato in Bioscienze presso Università di Padova del dott. Carlo Zampieri 
  • Progetto “Progetto Taglia minima di sbarco” coordinato da CONISMA (modellistica dinamica di popolazione selaci)
  • Results of the FSAE Project consist in the students’ team participation to the international competition. During the year 2021 the students’ team participated to the following international FSAE competitions (results are also reported):
    COMBUSTION DIVISION:
    -Formula SAE Italy 2019 – 2nd place overall
    -Formula student Germany 2019: 4th place overall
    -Formula Student Austria 2021: 5th place overall
    -Formula SAE Italy 2021: 3rd place overall, 1st place skidpad, 1st place autocross,
    3rd place business plan presentation
    ELECTRIC DIVISION
    -Formula Student Germany 2021: finalist business plan presentation
    -Formula Student East 2021: finalist business plan presentation
    -Formula Student Austria 2021: finalist business plan presentation

    SAE Thesis
    -Tesi magistrale di Riccardo Bertipaglia, titolo: “Acquisizione dei carichi aerodinamici agenti sulla vettura formula S.A.E. mg15.20 EVO”. Relatore: Prof. Giovanni Meneghetti, Correlatore: Ing. Davide Cortivo
    – Tesi triennale di Lorenzo Iori (ancora da discutere, in programma per la sessione di Marzo) ma con domanda e titolo già presentati: “Sviluppo di un modello CFD per la simulazione di una vettura FSAE in curva”. Relatore: Prof. Francesco Picano, Correlatore: Prof. Giovanni Meneghetti