Multipolar invariants and the eccentricity enhancement function parametrization of gravitational radiation

Gravitational radiation can be decomposed as an infinite sum of radiative multipole moments, which parametrize the waveform at infinity. The multipolar-post-Minkowskian formalism provides a connection between these multipoles and the source multipole moments, known as explicit integrals over the matter source. The gravitational wave energy, angular momentum, and linear momentum fluxes are then expressed as multipolar expansions containing certain combinations of the source moments.

Explainable Drug Repurposing Approach From Biased Random Walks

Drug repurposing is a highly active research area, aiming at finding novel uses for drugs that have been previously developed for other therapeutic purposes. Despite the flourishing of methodologies, success is still partial, and different approaches offer, each, peculiar advantages. In this composite landscape, we present a novel methodology focusing on an efficient mathematical procedure based on gene similarity scores and biased random walks which rely on robust drug-gene-disease association data sets.

Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine

The traditional approach in medicine starts with investigating patients' symptoms to make a diagnosis. While with the advent of precision medicine, a diagnosis results from several factors that interact and need to be analyzed together. This added complexity asks for increased support for medical personnel in analyzing these data altogether. Our objective is to merge the traditional approach with network medicine to offer a tool to investigate together symptoms, anatomies, diseases, and genes to establish a diagnosis from different points of view.

Propagation of fronts in a nonlinear fourth order equation

We consider a geometric motion associated with the minimization of a curvature dependent functional, which is related to the Willmore functional. Such a functional arises in connection with the image segmentation problem in computer vision theory. We show by using formal asymptotics that the geometric motion can be approximated by the evolution of the zero level set of the solution of a nonlinear fourth-order equation related to the Cahn-Hilliard and Allen-Cahn equations.

FSK-PSK data processing based on direct approximation of the Hilbert transform

We describe a signal processing method for demodulation of digital signals based on Hilbert transform (HT). We review the signal processing theory and the method of Analytic Signal transformation (AS) and their algorithms which are implemented by FFT, then we propose a direct method for the numerical approximation of the Hilbert transform that is a generalization of the al- gorithm presented in [1]. The proposed algorithm provides the estimate of instantaneous frequency and phase of the received signals, and can be used for both binary communication based on phased-shifting keying (PSK) and fr

A Fast DVM Algorithm for Wideband Time-Delay Multi-Beam Beamformers

This paper presents a sparse factorization for the delay Vandermonde matrix (DVM) and a faster, exact, radix-2, and completely recursive DVM algorithm to realize millimeter wave beamformers in wireless communication networks. The proposed algorithm will reduce the complexity of $N$-beam wideband beamformers from $\mathcal{O}(N^2)$ to $\mathcal{O}(N {\rm\: log\:} N)$. The scaled DVM algorithm is at least 97$\%$ faster than the brute-force scale DVM by a vector product. The signal flow graphs of the scaled DVM algorithm are shown to elaborate the simplicity of the proposed algorithm.

RESTORE4Cs

Modelling RESTORation of wEtlands for Carbon pathways, Climate Change mitigation and adaptation, ecosystem services, and biodiversity, Co-benefits

POR Puglia Monitoraggio di Habitat e Specie nel sito Murgia Alta

Il progetto, coordinato dall'Ente Parco Nazionale dell'Alta Murgia, intende perseguire Azioni di monitoraggio delle Specie e degli Habitat presenti nel sito IT9120007 "Murgia Alta".Importante aspetto di innovazione della proposta è dato dal supporto fornito dall'utilizzo di metodologie e algoritmi che utilizzano i dati satellitari per l'estrazione e la caratterizzazione degli habitat.

CIRO – CAMPANIA IMAGING INFRASTRUCTURE FOR RESEARCH IN ONCOLOGY

Il POR CIRO si propone di realizzare un'infrastruttura di ricerca nel campo della produzione e dell'analisi di immagini a carattere biologico e medico, oggi determinante per il successo della ricerca oncologica di punta e per la crescita del sistema sociale ed economico ad essa collegato. Il progetto è cofinanziato dall’Unione Europea, dallo Stato Italiano e dalla Regione Campania, nell’ambito del POR Campania FESR 2014-2020. 

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