Michele Sonnessa

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Traditional (i.e. analytical) modelling practices in the social sciences rely on a very well established, although implicit, methodological protocol, both with respect to the way models are presented and to the kinds of analysis that are performed. Unfortunately, computer-simulated models often lack such a reference to an accepted methodological standard.(More)
BACKGROUND In developed countries invasive listeriosis is an infection of great concern to public health to due its clinical severity and high fatality rate, despite its low incidence. In Europe, statistically significant increasing trends in listeriosis notification rates from 2005 to 2009 were noted in Austria, Denmark, Hungary, Italy, Spain and Sweden.(More)
The provision of health-care services and home assistance to the elderly and chronic patients is a challenging application scenario for Web Services composition, which support the integration of distributed, heterogeneous services in complex workflows. However, in order to support the management of the typical routine activities carried out when dealing(More)
In this paper we discuss strategies concerning the implementation of an agent-based simulation of complex phenomena. The model we consider accounts for population decomposition and interaction in industrial districts. The approach we follow is twofold: on one hand, we implement progressively more complex models using different approaches (vertical multiple(More)
This paper shows how agent-based modelling technique is a suitable approach for social scientists to model complex adaptive systems , using computer as experimental environment. Unfortunately advanced tools are lacking as well as an unified language supporting its development. We present JAS, a new agent-based simulation tool, developed with the aim to(More)
The aim of this study was to optimize a Real-Time PCR protocol for a rapid detection of Listeria monocytogenes in pork meat, using reduced volumes of primary selective enrichment broth and times of incubation to decrease the cost and time for analysis. Forty-five samples of pork meat were artificially contaminated with two different levels of L.(More)
The classical microbiological method for detection of Listeria monocytogenes requires around 7 days for final confirmation, and due to perishable nature of RTE food products, there is a clear need for an alternative methodology for detection of this pathogen. This study presents an international (at European level) ISO 16140-based validation trial of a(More)