CINECA IRIS Institutional Research Information System

IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.

Per ogni richiesta riferirsi esclusivamente a: Ufficio Ricerca Uniecampus

Ref. Catalogo: Dott. Pierangelo Tomaselli Contatti: catalogo.ricerca@uniecampus.it

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Prodotti recenti

AI: from rational agents to socially responsible agents

Paper category: Conceptual paper. Purpose (mandatory) The paper analyses the limitations of the mainstream definition of Artificial Intelligence (AI) as a rational agent, which currently drives the development of most AI systems. The authors advocate the need of a wider&#...

AGAINST POST-MEDIALITY. SEMIOTIC AND AESTHETIC REFLECTIONS FOR A MORE COMPLEX VISION OF THE MEDIA SYSTEM

In order to explain the many changes the media system is going through, some scholars propose to start thinking that we live in the post-media condition. A good way to schematize their vision of things is in the words of Eugeni (2015: 27-28): “The media are everywher...

On the meaning of narrative texts. Reconsidering Greimas' model in the light of a new socio-semiotic narrative theory

This article aims at showing how the teachings of Greimas about his generative model of the meaning of narrative texts can be reconsidered, in the light of the new socio-semiotic narrative theories. What follows is an attempt to show how Greimas’ positions can be better h...

A new sustainable direct solid state recycling of AA1090 aluminum alloy chips by means of friction stir back extrusion process

Friction stir extrusion is an innovative process designed to recycle metal chips from various machining operations. In this research, the feasibility of solid-state recycling of pure aluminum AA1090 machining chips using FSE process is investigated. In the early stage, a FE simulation w...

Flow curve prediction of ZAM100 magnesium alloy sheets using artificial neural network-based models

A multivariable empirical model, based on an artificial neural network (ANN), was developed to predict flow curves of ZAM100 magnesium alloy sheets as a function of process parameters in hot forming conditions. Tensile tests were performed in a wide range of temperature and strain&...