170,012 research outputs found
L'economia del Delta antico: spunti di ricerca.
No full textIl volume comprende tre articoli sull'economia dell'area deltizia padana in età romana. Si affrontano temi come il problema della esistenza o meno di saline lungo la costa adriatica nel tratto fra Ravenna e Adria, si analizzano le risorse naturali della regione soprattutto in rapporto alla presenza di aree boschive o coltivate, si analizzano i laterizi con bollo di produzione imperiale avanzando l'ipotesi che la produzione del II secolo d. C. fosse indirizzata principalmente alla costruzione degli edifici pubblici di Ravenna
SOCRATES. Developing and Evaluating a Fine-Tuned ChatGPT Model for Accessible Mental Health Intervention
No full textGenerative artificial intelligence is reshaping mental health care, offering scalable, personalized, and empathetic support. This is not a new discussion—more than a decade ago, Cristea et al. showed that users perceived both human and chatbot therapists as equally human-like, highlighting a shift in therapeutic interaction paradigms
Antimitotic action of cornin as a biologically active polypeptide. I. Biochemical properties of cornin
No full textWe succeeded in the extraction of a substance from beef cornea and rabbit muscle, that markedly inhibits mitosis of sea urchin eggs. The substance extracted from beef cornea is non-dialysable and it can be separated into three fractions by DEAE-cellulose column. Although everyone of these fractions has an antimitotic
action, that of fractions II and III is especially marked. These fractions are one of nucleoproteins that have adenine as base. The substance extracted from rabbit muscle is dialysable, and when it is fractionated through DEAE-cellulose column into three fractions, fraction I has no antimitotic effect but fractions II and III have it. Fraction II is one of nucleoproteins that have hypoxanthine
as base. Carnin obtained from beef cornea or from rabbit muscle shows a typical protein wave, but after being treated with gas by passing oxygen through cornin solution the wave height is lowered. Carnin, however, is a very
stable substance when kept dry in a desiccator.</p
CO-XAI—Cognitive Decision Intelligence Framework for Explainable AI Systems
No full texthe rapid evolution of Artificial Intelligence (AI) has significantly reshaped decision-making processes, enabling more sophisticated data analysis, predictive modeling, and insight generation. However, many of these advancements rely on complex “black box” models, where the inner workings of the systems are opaque and difficult to interpret. This lack of transparency creates challenges in understanding how decisions are derived, raising concerns about their reliability, fairness, and ethical soundness.
In response to these challenges, the field of eXplainable AI (XAI) has emerged, focusing on methodologies that enhance transparency by enabling humans to understand and verify the outputs of machine learning algorithms. These XAI frameworks include approaches such as eXplanation by Design, which incorporates interpretability from the outset of model development, and Black Box eXplanation, which provides post-hoc explanations for existing systems. XAI aims to demystify AI decision-making processes by revealing the underlying logic, potential biases, and expected impacts of these systems. In response to these needs, the Humane Technology Lab of the Catholic University of Sacred Heart (Milan, Italy) and the University of Pisa (Pisa, Italy), conducted within the framework of the Italian PNRR—M4C2—Investment 1.3, Extended Partnership PE00000013—“FAIR—Future Artificial Intelligence Research”—Spoke 1 “Human-centered AI” a new research project: CO-XAI (Cognitive Decision Intelligence Framework for Explainable AI Systems). It aims at developing and validating a novel DI framework that seamlessly integrates cognitive neuroscience, decision-making, and user experience principles into the design and evaluation of explainable AI systems
Detecting Cognitive Flexibility Deficits in Aging: A Novel Approach Using Virtual Reality And Artificial Intelligence
No full textThis project, in collaboration between the Humane Technology Lab of the Catholic University of Sacred Heart (Milan, Italy) and the University of Pisa (Pisa, Italy), proposes a novel approach that combines VR assessment with ML and semantic network analysis. The aim is to detect early cognitive flexibility deficits by developing a new VR assessment through various changes in daily tasks. During these tasks, behavioral scores on VR tasks, such as commissions, omissions, perseverations, and scores on neuropsychological tests will be collected. The data collected will then be used to train different ML models, to identify specific patterns to predict cognitive flexibility levels. This methodology aims to provide a more ecologically valid understanding, specific to this cognitive domain
A System Prototype for Solving Multi-Granularity Temporal CSP
No full textTime granularity constraint reasoning is likely to have a relevant role in emerging applications like GIS, time management in the Web and Personal Information Management applications for mobile systems. This paper reports recent advances in the development of a system for solving temporal constraint satisfaction problems where distance constraints are specified in terms of arbitrary time granularitie
The Economics of Next Generation Access Networks and Regulatory Governance: Towards Geographic Patterns of Regulation
No full textThis paper examines the mix of technical, regulatory, and business strategy issues that arise in implementing next generation broadband platforms in Europe. Our review of some European studies on NGAN in Europe and our specific focus on the Italian situation, in particular on the competitive situation in Milano, shows the relevant flaw of continuing to advocate national patterns of regulation. In fact, the deployment of NGAN calls for a radical shift of regulation on a geographic level. The recognition that a NGAN business case does exist for OLO in a number of local areas, mainly metropolitan ones, has relevant regulatory implications.In the first place, since the conditions of competition differ significantly among local areas, regulation should promote both incumbents' and OLO's investments in NGAN by limiting ex ante interventions to those enduring economic bottlenecks found at a specific geographic markets level. In the second place, market definition is the most important step in the market analysis procedure to help decide whether to regulate a given service provided over a NGAN or not. We have proposed a taxonomy of local areas that may be adopted in a country like Italy for a correct geographic definition of markets 4 and 5 and, as a consequence, for the imposition of appropriate remedies.Next Generation Networks, geographic markets, geographic remedies, infrastructure sharing, market definition
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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