87,261 research outputs found
Brevi note sull’incardinazione dei chierici nella formazione del codice del 1917 Giuffrè, Milano, 2006, pp. 415-434
No full textLa normativa vigente in tema di incardinazione dei chierici è l'apice di una lunga evoluzione su cui hanno inciso, nelle diverse epoche, fattori storici e contingenti.
Questo tema, in buona parte è stato oggetto esamina, in relazione alla formazione del Codice del 1917, nel volume "F. Falchi, I chierici nel processo di formazione del Codice piobenedittino, Cedam, Padova,1987". Con la odierna possibilità di accedere alla consultazione dei materiali archivistici relativi alla citata codificazione, presenti nell'Archivio Segreto Vaticano -resa operativa dopo che il citato volume era in fase di stampa- si ritenuto opportuno integrare la precedente elaborazione tenendo conto degli ulteriori materiali disponibili.
Così sono stati messi in evidenza alcuni aspetti particolari relativi a questo tema nella struttura del Codice, ponendoli a confronto con la vigente codificazione.
Lo scritto si chiude con alcune osservazioni in merito all'utilizzazione, nei testi codiciali, della nozione di "adscriptio" e di quella di "incardinatio"
«Appartengono a Zeus stranieri e mendicanti»: il problema e la risorsa politica dell’alterità
No full text
A Digital Rights Aware Similarity Measure for Multimedia Documents
No full textThis paper presents a novel approach to the retrieval of multimedia documents that considers Intellectual Property Rights (IPR) metadata as a multidimensional feature in a metric space. The approach allows us to perform similarity searches on the IPR attributes of digital items and to integrate these searches in a common query-by-example paradigm. We aim at managing the metadata related to the IPR in both centralized and Peer-to-Peer systems with metric indexing capabilities. Together with content-based similarity search, IPR similarity search can help the end user to deal with a huge amount of similar items with different licenses. Moreover, content providers may be able to detect fake copies or illegal uses. Two use cases, related to the retrieval of music and images respectively, are presented to describe the possible applications of the approach
Evaluation of carnitine, acetylcarnitine and isovalerylcarnitine on immune function and apoptosis
No full textThe pool of different carnitine derivatives is formed by carnitine, acetylcarnitine, propionylcarnitine and isovalerylcarnitine. Isovalerylcarnitine is a compound performing activities that differ from those of the other carnitine esters. Its activity on proteolytic enzymes and on the calpain system has been demonstrated in the past. Both the calpain and the caspase systems belong to the protease family and lead to cytochrome activation and apoptosis. The two systems can interact to promote apoptosis. In view of this proapoptotic activity of isovalerylcarnitine, studies were carried out to ascertain whether this carnitine derivative influences cell-reaction processes associated with apoptosis. U937 leukemic cells were selected for these studies because they are a well-established model for the assessment of cellular immune responses. In addition to nuclear morphologic alterations produced by apoptosis that can be detected by specific histochemical and microscopic methods, we also took other cell functions into consideration, such as phagocytosis, cell killing and cell growth, which are indices of immune function related to apoptosis. Unlike reference carnitine forms, isovalerylcarnitine produced an early and marked increase in phagocytosis and also an increase in cell killing. Cell proliferation was reduced. The hypothesis is set forth that isovalerylcarnitine may be a caspase-activating, proapoptotic factor that resembles various anticancer agents, which induce early apoptosis that coincides with early activation of caspase. This hypothesis is supported by the ability of isovalerylcarnitine to induce early phagocytosis and cell killing
Gli Etruschi e la Sardegna tra la fine dell'età del Bronzo e gli inizi dell'età del Ferro
No full text
Re-implementing and Extending Relation Network for R-CBIR
No full textRelational reasoning is an emerging theme in Machine Learning in general and in Computer Vision in particular. Deep Mind has recently proposed a module called Relation Network (RN) that has shown impressive results on visual question answering tasks. Unfortunately, the implementation of the proposed approach was not public. To reproduce their experiments and extend their approach in the context of Information Retrieval, we had to re-implement everything, testing many parameters and conducting many experiments. Our implementation is now public on GitHub and it is already used by a large community of researchers. Furthermore, we recently presented a variant of the relation network module that we called Aggregated Visual Features RN (AVF-RN). This network can produce and aggregate at inference time compact visual relationship-aware features for the Relational-CBIR (R-CBIR) task. R-CBIR consists in retrieving images with given relationships among objects. In this paper, we discuss the details of our Relation Network implementation and more experimental results than the original paper. Relational reasoning is a very promising topic for better understanding and retrieving inter-object relationships, especially in digital libraries
Efficient indexing of regional maximum activations of convolutions using full-text search engines
No full textIn this paper, we adapt a surrogate text representation technique to develop efficient instance-level image retrieval using Regional Maximum Activations of Convolutions (R-MAC). R-MAC features have recently showed outstanding performance in visual instance retrieval. However, contrary to the activations of hidden layers adopting ReLU (Rectified Linear Unit), these features are dense. This constitutes an obstacle to the direct use of inverted indexes, which rely on sparsity of data. We propose the use of deep permutations, a recent approach for efficient evaluation of permutations, to generate surrogate text representation of R-MAC features, enabling indexing of visual features as text into a standard search-engine. The experiments, conducted on Lucene, show the effectiveness and efficiency of the proposed approach
- …
