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- Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora
- Mathematical biosciences and engineering : MBE
- 2016

A model is proposed to describe the spike-frequency adaptation observed in many neuronal systems. We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation techniques and numerical methods allow to obtain both… (More)

Most operational models in atmospheric physics, meteorology and climatology nowadays adopt spherical geodesic grids and require “ad hoc” developed interpolation procedures. The author does a comparison between chosen representatives of linear, distance based and cubic interpolation schemes outlining their advantages and drawbacks in this specific… (More)

A simple and efficient numerical method for solving the advection equation on the spherical surface is presented. To overcome the well-known ‘pole problem’ related to the polar singularity of spherical coordinates, the space discretization is performed on a geodesic grid derived by a uniform triangulation of the sphere; the time discretization uses a… (More)

- A de Paulis, R De Palma, +5 authors G Marone
- Journal of immunology
- 2000

Human basophils and mast cells express the chemokine receptor CCR3, which binds the chemokines eotaxin and RANTES. HIV-1 Tat protein is a potent chemoattractant for basophils and lung mast cells obtained from healthy individuals seronegative for Abs to HIV-1 and HIV-2. Tat protein induced a rapid and transient Ca(2+) influx in basophils and mast cells,… (More)

- S. Easter Selvan, Umberto Amato, +4 authors Bruno Alfano
- IEEE Transactions on Neural Networks and Learning…
- 2012

A Riemannian manifold optimization strategy is proposed to facilitate the relaxation of the orthonormality constraint in a more natural way in the course of performing independent component analysis (ICA) that employs a mutual information-based source-adaptive contrast function. Despite the extensive development of manifold techniques catering to the… (More)

- Gianni Marone, Giovanna Tosi, +5 authors Nella Prevete
- 2000

- Loredana Murino, Donatella Granata, +4 authors Michele Larobina
- Comp. Med. Imag. and Graph.
- 2014

This work investigates the capability of supervised classification methods in detecting both major tissues and subcortical structures using multispectral brain magnetic resonance images. First, by means of a realistic digital brain phantom, we investigated the classification performance of various Discriminant Analysis methods, K-Nearest Neighbor and… (More)

- U Amato, M F Carfora, V Cuomo, C Serio
- Applied optics
- 1995

Retrieval of the aerosol size distribution from optical measurements at ground level is well known to be a difficult problem. Nowadays objective techniques that can give a solution without the intervention of the researcher do not exist. We propose several objective methods that are well based in the mathematical and physical points of view. Their accuracy… (More)

- Piero Barone, Maria Francesca Carfora, Riccardo March
- Journal of Mathematical Imaging and Vision
- 2009

Many real life problems can be represented by an ordered sequence of digital images. At a given pixel a specific time course is observed which is morphologically related to the time courses at neighbor pixels. Useful information can be usually extracted from a set of such observations if we are able to classify pixels in groups, according to some features… (More)

- M. F. CARFORA, R. NATALINI
- 2006

Abstract. In this paper we introduce a new class of numerical schemes for the incompressible Navier-Stokes equations, which are inspired by the theory of discrete kinetic schemes for compressible fluids. For these approximations it is possible to give a stability condition, based on a discrete velocities version of the Boltzmann H–theorem. Numerical tests… (More)