Efficient GPU parallelization of adaptive mesh refinement technique for high-order compressible solver with immersed boundary

A new, highly parallelized, adaptive mesh refinement (AMR) library, equipped with an accurate immersed boundary (IB) method for solving the compressible Navier-Stokes system is presented. The library, named ADAM, is designed to efficiently exploit modern exascale GPU-accelerated supercomputers and it is implemented with a highly modular structure in order to make easy to leverage it for a wide range of CFD applications.

A new frame based de-noising procedure for fast oscillating signals

In recent years there has been a growing interest in frame based de-noising procedures. The advantage of frames with respect to classical orthonor- mal bases (e.g. wavelet, Fourier, polynomial) is that they can furnish an efficient representation of a more broad class of signals. For example, signals which have fast oscillating behavior as sonar, radar, EEG, stock market, audio and speech are much more well represented by a frame (with similar oscillating characteristic) than by a classical wavelet basis, although the frame representation for such kind of signals can be not properly sparse.

EEGManyPipelines: A Large-scale, Grassroots Multi-analyst Study of Electroencephalography Analysis Practices in the Wild

The ongoing reproducibility crisis in psychology and cognitive neuroscience has sparked increasing calls to re-evaluate and reshape scientific culture and practices. Heeding those calls, we have recently launched the EEGManyPipelines project as a means to assess the robustness of EEG research in naturalistic conditions and experiment with an alternative model of conducting scientific research.

Non-invasive investigation of three paintings attributed to Cavalier d'Arpino by means of ED-XRF, FORS and Multispectral Imaging

The aim of this work was to characterize the palette and painting technique used for the realization of three late sixteenth century paintings from "Galleria dell'Accademia Nazionale di San Luca" in Rome attributed to Cavalier d'Arpino (Giuseppe Cesari), namely "Cattura di Cristo" (Inv. 158), "Autoritratto" (Inv. 546) and "Perseo e Andromeda" (Inv. 221).

Bootstrap percolation on the stochastic block model

We analyze the bootstrap percolation process on the stochastic block model (SBM), a natural extension of the Erd?s-Rényi random graph that incorporates the community structure observed in many real systems. In the SBM, nodes are partitioned into two subsets, which represent different communities, and pairs of nodes are independently connected with a probability that depends on the communities they belong to.

Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation

The accurate characterization of cortical functional connectivity from Magnetoencephalography (MEG) data remains a challenging problem due to the subjective nature of the analysis, which requires several decisions at each step of the analysis pipeline, such as the choice of a source estimation algorithm, a connectivity metric and a cortical parcellation, to name but a few. Recent studies have emphasized the importance of selecting the regularization parameter in minimum norm estimates with caution, as variations in its value can result in significant differences in connectivity estimates.

Aperto un bando per un assegno di ricerca sui fondi PRIN 2022

PRIN2022 carissimo

Scade il 12 gennaio la selezione per un assegno di ricerca sul programma 2022T7XP29 “Decoding and leveraging the molecular determinants of myogenic fate through integrative genomics and cell engineering”, finanziato dal PRIN 2022.

La tematica riguarda lo sviluppo di metodi statistici per l’analisi e l’integrazione di dati omici”, sotto la responsabilità scientifica della dott.ssa Annamaria Carissimo. 

Requisiti sono:

Genomica
analisi statistica

Sulla CNR Web TV il video della giornata "Ma a che serve la matematica?"

cnrwebtv

Pubblicato sulla CNR Web TV il servizio sulla giornata del 24 ottobre "Ma a che serve la matematica?" svoltasi a Roma, al Salone Margherita, in collaborazione con il Museo della moneta di Banca d'Italia.

Sul palco, ricercatori dell'IAC e di Banca d'Italia, hanno raccontato agli studenti delle scuole superiori le varie applicazioni della matematica nella vita quotidiana. 

Un'occasione per festeggiare i 100 anni del CNR.

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