675 research outputs found
Coding of self and other's future choices in dorsal premotor cortex during social interaction
No full textRepresenting others’ intentions is central to primate social life. We explored the role of dorsal premotor cortex (PMd) in discriminating between self and others’ behavior while two male rhesus monkeys performed a non-match-to-goal task in a monkey-human paradigm. During each trial, two of four potential targets were randomly presented on the right and left parts of a screen, and the monkey or the human was required to choose the one that did not match the previously chosen target. Each agent had to monitor the other's action in order to select the correct target in that agent's own turn. We report neurons that selectively encoded the future choice of the monkey, the human agent, or both. Our findings suggest that PMd activity shows a high degree of self-other differentiation during face-to-face interactions, leading to an independent representation of what others will do instead of entailing self-centered mental rehearsal or mirror-like activities. Understanding others’ intentions is essential to successful primate social life. Cirillo et al. explore the role of dorsal premotor cortex (PMd) in discriminating between self and others’ behavior while macaques interacted with humans. They show that the majority of neurons encoding the future choice did so selectively for the monkey or the human agent. PMd thus differentiates self from others’ behavior, leading to independent representations of future actions
Incremental Discovery of Imprecise Functional Dependencies
No full textFunctional dependencies (FDs) are one of the metadata used to assess data quality and to perform data cleaning operations. However, in order to pursue robustness with respect to data errors, it has been necessary to devise imprecise versions of functional dependencies, yielding relaxed functional dependencies (RFDs). Among them, there exists the class of RFDs relaxing on the extent, i.e., those admitting the possibility that an FD holds on a subset of data. In the literature several algorithms to automatically discover RFDs from big data collections have been defined. They achieve good performances with respect to the inherent problem complexity. However, most of them are capable of discovering RFDs only by batch processing the entire dataset. This is not suitable in the era of big data, where the size of a database instance can grow with high-velocity, and the insertion of new data can invalidate previously holding RFDs. Thus, it is necessary to devise incremental discovery algorithms capable of updating the set of holding RFDs upon data insertions, without processing the entire dataset. To this end, in this paper we propose an incremental discovery algorithm for RFDs relaxing on the extent. It manages the validation of candidate RFDs and the generation of possibly new RFD candidates upon the insertion of the new tuples, while limiting the size of the overall search space. Experimental results show that the proposed algorithm achieves extremely good performances on real-world datasets
Senate Bill 1205 - Elaine Maimon Email to Ed Cirillo
No full textabstract: This email from Elaine Maimon to Ed Cirillo discusses SB 1205 and the House Education Committee
Discovery Multiple Data Structures in Big Data through Global Optimization and Clustering Methods
No full textIn this paper, we propose an approach to Big Data visualization, based on clustering techniques, in order to find a structure of them and to facilitate their visualization. However, the main problem of clustering is that sometimes converge to a local minimum showing only one solution, so an optimization of the K-means algorithm has been proposed with the aim to escape from local minimum and to visualize different solutions of the same problem. In particular, we use the K-means algorithm with multiple random starting points, in order to find several solutions to the same problem. This algorithm considers the data of the Italian calls for tenders, extracted through a crawling technique, and optimized through the proposed approach to obtain multiple solutions. These are used to achieve a repository of products that can be easily displayed and inquired during the formulation of an offer from a bidder company willing to participate to a call for tenders. The case study results show the feasibility and validity of the proposed approach
AI and ML impact to improve business performance
No full textThe primary purpose of our invention is to analyse the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This invention was conducted using a four-step sequential approach: (i) analysis of AI and AI concepts/technologies; (ii) in-depth exploration of case studies from a significant number of industrial sectors; (iii) data collection from the databases (websites) of AI-based solution providers; and (iv) a review of AI literature to identify their impact on the performance of organisations while highlighting the business value of AI-enabled projects transformation within organisations
La famille maltraitante
No full textil volume analizza le dinamiche psicologiche e le relazioni familiari connesse alla violenza ai danni dell'infanzia e le conseguenze sulla vittima, attraverso una trattazione teorica corredata da esemplificazioni clinich
Mario Valentino
No full textIl saggio descrive il profilo creativo e imprenditoriale di un "napoletano illuminato" che ha dato vita a una delle principali realtà progettuali e creative della moda italiana a partire dalla metà degli anni Cinquanta
Santo Stefano di Perm’: cristianesimo e popoli pagani
No full textL'articolo si sofferma sulla particolare forma di cristianizzazione dei popoli Sirieni-Permiani-Komi effettuata da Santo Stefano di Perm' alla fine del XIV secolo. Essa fu compiuta attraverso la creazione di un nuovo alfabeto, detto Abur, e la traduzione in permiano del Vangelo e dei principali testi liturgici, come ci testimonia la Vita del santo scritta da Epifanij Premudryj (XV sec.). Ripercorrendo quest'ultima, si rilevano le somiglianze tra l'operazione compiuta da Stefano e quella di Costantino-Cirillo. Tuttavia, la conversione portata avanti da Stefano che si concluse con la fondazione dell'episcopato di Perm', deve essere inserita nella politica moscovita di annessione delle terre uraliche, nella quale giocò un ruolo cruciale la rivalità con Novgorod
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