Pasqualino Gaudio

Dr. Pasqualino Gaudio

University of Rome 'Tor Vergata'
orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 June 2017 in Nuclear Fusion
Verified
Journal Article
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XLX. Litaudon
X. Litaudon
SAS. Abduallev
S. Abduallev
MAM. Abhangi
M. Abhangi
PAP. Abreu
P. Abreu
MAM. Afzal
M. Afzal
JCJet Contributors
Jet Contributors

17 March 2015 in International Journal of Microbiology
Verified
Journal Article
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OCOrlando Cenciarelli
Orlando Cenciarelli
SPStefano Pietropaoli
Stefano Pietropaoli
Andrea MaliziaAndrea Malizia
Andrea Malizia
MCMARIACHIARA CARESTIA
MARIACHIARA CARESTIA
FDFabrizio D’amico
Fabrizio D’amico
Pasqualino GaudioPasqualino Gaudio
Pasqualino Gaudio
The Ebola virus epidemic burst in West Africa in late 2013, started in Guinea, reached in a few months an alarming diffusion, actually involving several countries (Liberia, Sierra Leone, Nigeria, Senegal, and Mali). Guinea and Liberia, the first nations affected by the outbreak, have put in place measures to contain the spread, supported by international organizations; then they were followed by the other nations affected. In the present EVD outbreak, the geographical spread of the virus has followed a new route: the achievement of large urban areas at an early stage of the epidemic has led to an unprecedented diffusion, featuring the largest outbreak of EVD of all time. This has caused significant concerns all over the world: the potential reaching of far countries from endemic areas, mainly through fast transports, induced several countries to issue information documents and health supervision for individuals going to or coming from the areas at risk. In this paper the geographical spread of the epidemic was analyzed, assessing the sequential appearance of cases by geographic area, considering the increase in cases and mortality according to affected nations. The measures implemented by each government and international organizations to contain the outbreak, and their effectiveness, were also evaluated.

1 August 2014 in Microelectronic Engineering
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Journal Article
Closed access
DSD. Scarpellini
D. Scarpellini
CFC. Falconi
C. Falconi
Pasqualino GaudioPasqualino Gaudio
Pasqualino Gaudio
AMA. Mattoccia
A. Mattoccia
PMP.G. Medaglia
P.G. Medaglia
Maria RichettaMaria Richetta
Maria Richetta

2 March 2018 in Nuclear Fusion
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Journal Article
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AMAndrea Murari
Andrea Murari
MLMichele Lungaroni
Michele Lungaroni
Emmanuele PelusoEmmanuele Peluso
Emmanuele Peluso
Pasqualino GaudioPasqualino Gaudio
Pasqualino Gaudio
JVJesus Vega
Jesus Vega
JCJet Contributors
Jet Contributors

29 August 2019 in Scientific Reports
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VGValentina Gabbarini
Valentina Gabbarini
RRRiccardo Rossi
Riccardo Rossi
JCJean-François Ciparisse
Jean-François Ciparisse
Andrea MaliziaAndrea Malizia
Andrea Malizia
ADAndrea Divizia
Andrea Divizia
Pasqualino GaudioPasqualino Gaudio
Pasqualino Gaudio
Virological analysis is time-consuming and expensive. The aim of this work is to demonstrate the applicability of laser-induced fluorescence (LIF) to the classification of viruses, reducing the time for this analysis and its costs. Experimental tests were performed in which different viruses were irradiated with a UV laser emitting at 266 nm and the emitted spectra were recorded by a spectrometer. The classification techniques show the possibility of discriminating viruses. Although the application of the LIF technique to biological agents has been thoroughly studied by many researchers over the years, this work aims at validating for the first time its applicability to virological analyses. The development of a fast virological analysis may revolutionize this field, allowing fast responses to epidemiologic events, reducing their risks and improving the efficiency of monitoring environments. Moreover, a cost reduction may lead to an increase in the monitoring frequency, with an obvious enhancement of safety and prevention.

15 April 2020 in Entropy
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Journal Article
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RRRiccardo Rossi
Riccardo Rossi
Andrea MurariAndrea Murari
Andrea Murari
Pasqualino GaudioPasqualino Gaudio
Pasqualino Gaudio
Michela GelfusaMichela Gelfusa
Michela Gelfusa
The Bayesian information criterion (BIC), the Akaike information criterion (AIC), and some other indicators derived from them are widely used for model selection. In their original form, they contain the likelihood of the data given the models. Unfortunately, in many applications, it is practically impossible to calculate the likelihood, and, therefore, the criteria have been reformulated in terms of descriptive statistics of the residual distribution: the variance and the mean-squared error of the residuals. These alternative versions are strictly valid only in the presence of additive noise of Gaussian distribution, not a completely satisfactory assumption in many applications in science and engineering. Moreover, the variance and the mean-squared error are quite crude statistics of the residual distributions. More sophisticated statistical indicators, capable of better quantifying how close the residual distribution is to the noise, can be profitably used. In particular, specific goodness of fit tests have been included in the expressions of the traditional criteria and have proved to be very effective in improving their discriminating capability. These improved performances have been demonstrated with a systematic series of simulations using synthetic data for various classes of functions and different noise statistics.