Luca Amati

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iAF2D (incremental Automatic Functional Fault Detective) is a methodology for the identification of the faulty component in a complex system using data collected from a test session. It is an incremental approach based on a Bayesian Belief Network, where the model of the system under analysis is extracted from a faulty signature description. iAF2D reduces(More)
Nervous and immune systems are connected by several mutual links, thus constituting a diffuse functional network in the body. In particular, neurohormones, neuropeptides, and cytokines represent the major mediators of the so-called psychoneuroendocrinoimmune axis. In this review, special emphasis is placed on certain pathologies characterized by a(More)
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