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Gaetano Bosurgi, Miriam Di Perna, Orazio Pellegrino, Giuseppe Sollazzo and Alessia Ruggeri
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Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos and Agostino Poggi
With the recent advances in machine learning (ML), several models have been successfully applied to financial and accounting data to predict the likelihood of companies? bankruptcy. However, time series have received little attention in the literature, w...
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Angelantonio De Benedetto, Agnese De Luca, Paolo Pellegrino, Rosaria Rinaldi, Valeria De Matteis and Mariafrancesca Cascione
The utilization of hydrogen (H2) as a renewable and clean energy carrier, free from the reliance on fossil fuels, represents a significant technological challenge. The use of renewable energy sources for hydrogen production, such as photocatalytic hydrog...
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Guido Fellet, Pellegrino Conte and Luca Marchiol
The increasing use of nanoparticles is causing a threat to the environment and humans. The aim of this work was to evaluate the effects of the quenching procedure of biochar production on the biochar capacity to retain the CeO2 nanoparticle (CeO2NP) in s...
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Sofia Maria Muscarella, Vito Armando Laudicina, Luigi Badalucco, Pellegrino Conte and Giorgio Mannina
Resource recovery from wastewater is very important in view of a circular economy approach in the water field. Among the different technologies applied to realize circular economy, an attractive option is the use of nutrient-enriched media that can be ut...
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Gianfranco Lombardo, Mattia Pellegrino, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos and Agostino Poggi
Predicting corporate bankruptcy is one of the fundamental tasks in credit risk assessment. In particular, since the 2007/2008 financial crisis, it has become a priority for most financial institutions, practitioners, and academics. The recent advancement...
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Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
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Daniela Amelio, Filippo Garofalo, Elvira Brunelli, Gianfranco Santovito and Daniela Pellegrino
The Frank-Starling response is an intrinsic heart property that is particularly evident in the fish heart because piscine cardiomyocytes are extremely sensitive to stretch. Several mechanisms and compounds influence the Frank-Starling response, including...
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Francesca Pitolli, Chiara Sorgentone and Enza Pellegrino
Differential problems with the Riesz derivative in space are widely used to model anomalous diffusion. Although the Riesz?Caputo derivative is more suitable for modeling real phenomena, there are few examples in literature where numerical methods are use...
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Valeria De Matteis, Loris Rizzello, Mariafrancesca Cascione, Paolo Pellegrino, Jagpreet Singh, Daniela Manno and Rosaria Rinaldi
The quest for novel nanoscale materials for different applications necessitates that they are easy to obtain and have excellent physical properties and low toxicity. Moreover, considering the ongoing environmental impact of noxious chemical waste product...
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