The phase-separation process of a binary mixture with order-parameter-dependent mobility under shear flow is numerically studied. The ordering is characterized by an alternate stretching and bursting of domains which produce oscillations in the physical observables. The amplitude of such modulations reduce in time when the mobility vanishes in the bulk phase, disfavoring the growth of bubbles coming from bursted domains. We propose two equations for the typical sizesR(x)andR(y)of domains finding the long-time behaviorsR(x)similar to t(5/4)andR(y)similar to t(1/4)in the flow and shear directions, respectively, in the case of surface diffusion. A reduction of the excess viscosity with increasing shear rate is observed in simulations.

Il documento offre un resoconto dettagliato dell'evento denominato 'Giornate CNR-IAC, di formazione alla comunicazione della scienza', tenutosi a Roma presso la Sede CNR-IAC di Via dei Taurini il 12-13 febbraio 2020, dalle fasi di preparazione e co-definizione del programma, allo svolgimento, all'analisi del questionario di gradimento. L'obiettivo delle giornate CNR-IAC di formazione alla comunicazione della scienza, co-organizzate da CNR-IAC, CNR-DSSTTA e CNR-Ufficio Comunicazione, è squello di migliorare le capacità di comunicazione scientifica dei ricercatori relativamente alle aree tematiche proprie dell'Istituto e verso differenti target, valorizzando lo scambio interdisciplinare e la pratica di esperienze di comunicazione interpersonale (verbale e non verbale), anche attraverso lo svolgimento di attività pratiche. Il lavoro svolto e i risultati raggiunti proiettano l'esperienza verso la definizione di un format da replicare e mettere a sistema a livello di singolo Istituto e di Ente.

In this paper, a reaction-diffusion prey-predator system including the fear effect of predator on prey population and group defense has been considered. The conditions for the onset of cross-diffusion-driven instability are obtained by linear stability analysis. The technique of multiple time scales is employed to deduce the amplitude equation near Turing bifurcation threshold by choosing the cross-diffusion coefficient as a bifurcation parameter. The stability analysis of these amplitude equations leads to the identification of various Turing patterns driven by the cross-diffusion, which are also investigated through numerical simulations.

In the past two decades, 7 coronaviruses have infected the human population, with two major outbreaks caused by SARS-CoV and MERS-CoV in the year 2002 and 2012, respectively. Currently, the entire world is facing a pandemic of another coronavirus, SARS-CoV-2, with a high fatality rate. The spike glycoprotein of SARS-CoV-2 mediates entry of virus into the host cell and is one of the most important antigenic determinants, making it a potential candidate for a vaccine. In this study, we have computationally designed a multi-epitope vaccine using spike glycoprotein of SARS-CoV-2. The overall quality of the candidate vaccine was validated in silico and Molecular Dynamics Simulation confirmed the stability of the designed vaccine. Docking studies revealed stable interactions of the vaccine with Toll-Like Receptors and MHC Receptors. The in silico cloning and codon optimization supported the proficient expression of the designed vaccine in E. coli expression system. The efficiency of the candidate vaccine to trigger an effective immune response was assessed by an in silico immune simulation. The computational analyses suggest that the designed multi-epitope vaccine is structurally stable which can induce specific immune responses and thus, can be a potential vaccine candidate against SARS-CoV-2. In the past two decades, 7 coronaviruses have infected the human population, with two major outbreaks caused by SARS-CoV and MERS-CoV in the year 2002 and 2012, respectively. Currently, the entire world is facing a pandemic of another coronavirus, SARS-CoV-2, with a high fatality rate. The spike glycoprotein of SARS-CoV-2 mediates entry of virus into the host cell and is one of the most important antigenic determinants, making it a potential candidate for a vaccine. In this study, we have computationally designed a multi-epitope vaccine using spike glycoprotein of SARS-CoV-2. The overall quality of the candidate vaccine was validated in silico and Molecular Dynamics Simulation confirmed the stability of the designed vaccine. Docking studies revealed stable interactions of the vaccine with Toll-Like Receptors and MHC Receptors. The in silico cloning and codon optimization supported the proficient expression of the designed vaccine in E. coli expression system. The efficiency of the candidate vaccine to trigger an effective immune response was assessed by an in silico immune simulation. The computational analyses suggest that the designed multi-epitope vaccine is structurally stable which can induce specific immune responses and thus, can be a potential vaccine candidate against SARS-CoV-2.

We generalize the nonstandard Euler and Heun schemes in order to provide explicit geometric numerical integrators for biochemical systems, here denoted as GeCo schemes, that preserve both positivity of the solutions and linear invariants. We relax the request on the order convergence of the denominator function for the first-order approximation and we let it depend on the step size also throughout the solution approximating values. The first-order variant is exact on a two-dimensional linear test problem. Moreover, we introduce a class of modified mGeCo(alpha) schemes and, by tuning the parameter alpha >= 1, we improve the numerical performance of GeCo integrators on some examples taken from the literature. A numerical comparison with BBKS and mBBKSschemes, which are implicit integrators, positive and conserve linear invariants, show the gain in efficiency of both GeCo and mGeCo(alpha) procedures as they generate similar errors with an explicit functional form. (C) 2019 IMACS. Published by Elsevier B.V. All rights reserved.

This Special Issue collects peer-reviewed original articles dealing with further developments of research results presented at MASCOT2018, the 15th IMACS/ISGG International Workshop. This one is the last edition in time of the MASCOT series of meetings, yearly organized since 2001 under the auspices of the Istituto per le Applicazioni del Calcolo (IAC) of the Consiglio Nazionale delle Ricerche (CNR), the principal organizer and co-sponsor. For a straightforward browsing of the Issue Contents all the articles are shortly introduced according to the following thematic Sections: Mathematical modeling in thermodynamics, Numerical methods for approximation, Numerical solution of partial differential equations, Data and signal processing, Subdivision schemes. Main advancements are delineated.

This Special Issue collects peer-reviewed original articles dealing with further developments of research results presented at MASCOT2018, the 15th IMACS/ISGG International Workshop. This one is the last edition in time of the MASCOT series of meetings, yearly organized since 2001 under the auspices of the Istituto per le Applicazioni del Calcolo (IAC) of the Consiglio Nazionale delle Ricerche (CNR), the principal organizer and co-sponsor.

The idea that individuals tend to choose a romantic partner following similarities on personality traits has always attracted much attention in the psychological literature, although results were controversial. We conducted a new data analysis approach to personality traits of 235 newlywed couples. Univariate analysis revealed that a neurotic husband is usually paired with a lesser extrovert and open wife. To figure out if this mating selection pattern may be translated in a mathematical predictive model a twofold approach was employed by using Partial Least Squares regression and machine learning algorithm. The experimental results demonstrate that marital assortment for personality is a multi-trait complementarity process but these data are unable to predict human mating.

Il 21/04/2020 ore 17.00 - 18.00 Canali Facebook e Youtube Comunicazione.Cnr TuttiInMusica con Light & Sound Project TuttiInMusica con Light & Sound Project Come legare insieme scienza, gioco, salute e Bulerías, un divertente "palo" del flamenco? Per rispondere abbiamo messo insieme: due scienziati che usano il gioco per fare divulgazione scientifica e didattica, un medico, una giornalista e un "bailaor". Una miscela unica e travolgente, come solo il flamenco può essere. E, sempre a "compás", Fabio Chiarello mostrerà "BeatWheel", un gioco da provare per scoprire il ritmo e la sua geometria. Saranno presenti Fabio Chiarello, ricercatore Cnr-Ifn di Roma, fisico e creatore di giochi divulgativi e animazioni su scienza, Armida Torreggiani, ricercatrice Cnr-Isof, Roberto Volpe, medico del Servizio prevenzione e protezione del Cnr di Roma e Dario Carbonelli, maestro di flamenco, ballerino e coreografo. Modera Silvia Mattoni, giornalista, responsabile Unità comunicazione e relazioni con il pubblico del Cnr, in regia Roberto Natalini direttore Cnr-Iac. Organizzato da: Unità comunicazione e relazioni con il pubblico Referente organizzativo: Per informazioni: Cnr - Unità Comunicazione e Relazioni con il Pubblico Responsabile: Silvia Mattoni

Il testo è un rapporto tecnico molto dettagliato sulle attività e i risultati del progetto Coffee BREAKS.

In recent papers, new sets of Sheffer and Brenke polynomials based on higher order Bell numbers have been studied, and several integer sequences related to them have been introduced. In this article other types of Sheffer polynomials are considered, by introducing the adjoint Poisson-Charlier and the adjoint Related polynomials.

Alarms periodically emerge for viral pneumonia infections due to coronavirus. In all cases, these are zoonoses passing the barrier between species and infect humans. The legitimate concern of the international community is due to the fact that the new identified coronavirus, named SARS-CoV-2 (previously called 2019-nCoV), has a quite high mortality rate, around 2%, and a strong ability to spread, with an estimated reproduction number higher than 2. Even though all countries are doing their utmost to stop the pandemic, the only reliable solution to tackle the infection is the rapid development of a vaccine. For this purpose, the means of bioinformatics, applied in the context of reverse-vaccinology paradigm, can be of fundamental help to select the most promising peptides able to trigger an effective immune response. In this short report, using the concept of nullomer and introducing a distance from human self, we provide a list of peptides that could deserve experimental investigation in the view of a potential vaccine for SARS-CoV-2.

A major neglected weakness of many ecological models is the numerical method used to solve the governing systems of differential equations. Indeed, the discrete dynamics described by numerical integrators can provide spurious solution of the corresponding continuous model. The approach represented by the geometric numerical integration, by preserving qualitative properties of the solution, leads to improved numerical behaviour expecially in the long-time integration. Positivity of the phase space, Poisson structure of the flows, conservation of invariants that characterize the continuous ecological models are some of the qualitative characteristics well reproduced by geometric numerical integrators. In this paper we review the benefits induced by the use of geometric numerical integrators for some ecological differential models.

Gathering together some existing results, we show that the solutions to the one-dimensional Burgers equation converge for long times towards the stationary solutions to the steady Burgers equation, whose Fourier spectrum is not integrable. This is one of the main features of wave turbulence.

Estratto della chat pubblica di cui l'autrice era moderatrice per il primo tavolo partecipato "L'educazione al tempo dell'incertezza" svolto nell'ambito del progetto Officina 2020 CNR-IRPSS e "Futures of Education. Learning to become" dell'UNESCO con la partecipazione della consulta Studenti di Roma.

Estratto della chat pubblica di cui l'autrice era moderatrice per il secondo tavolo partecipato svolto nell'ambito del progetto Officina 2020 CNR-IRPSS e "Futures of Education. Learning to become" dell'UNESCO con la partecipazione di esperti del tema.

Estratto della chat pubblica di cui l'autrice era moderatrice per il secondo tavolo partecipato svolto nell'ambito del progetto Officina 2020 CNR-IRPSS e "Futures of Education. Learning to become" dell'UNESCO con la partecipazione di esperti del tema.

Estratto della chat pubblica di cui l'autrice era moderatrice per il quarto tavolo svolto nell'ambito del progetto Officina 2020 CNR-IRPSS e "Futures of Education. Learning to become" dell'UNESCO con la partecipazione di esperti del tema.

Il report fornisce una panoramica del Fondo Europeo per lo Sviluppo Regionale, particolarmente nel Programma Operativo Regionale del Lazio, a partire dalla Strategia Europa 2020 (obiettivi, iniziative faro, principi di programmazione) e dai fondi strutturali UE (tipologia, principi orizzontali, quadro strategico comune, programmi operativi nazionali e gestione dei fondi), delineandone obblighi di informazione e pubblicità.

Il report analizza le principali linee guide relative alla gestione amministrativa, finanziaria e documentale, con particolare riferimento alle procedure relative agli Organismi di Ricerca Pubblica, dei progetti finanziati attraverso gli avvisi POR FESR Lazio "Aerospazio e Sicurezza" e "Life 2020", con i quali sono stati finanziati i due progetti COURIER, COUntering RadIcalism InvEstigation platfoRm e ClinAIR TECH, Clean Indoor Air Technologies, di cui l'Istituto per le Applicazioni del Calcolo "M. Picone" è partner in qualità di Organismo di Ricerca Pubblico.