Callisto Cosulich e la musica per film

1La collaborazione di Callisto Cosulich con il periodico “Amadeus”, una delle poche riviste musicali che ha accolto al suo interno articoli d’interesse cinematografico, si estende in un arco di tempo che va dal 1990 al 2007 per un totale di alcune decine di articoli. Scorrendo queste pagine da un lato si possono seguire eventi e fatti che hanno attraversato la storia del cinema, colti dalla particolare prospettiva della loro colonna sonora; dall’altro si scoprono i segreti meccanismi che portano all’allestimento di un commento sonoro cinematografico e alla realizzazione di quel felice connubio fra musica e immagini che costituisce uno dei motivi di bellezza della settima arte. Gli articoli di Cosulich generalmente sono dedicati a musicisti, registi, singoli film, generi cinematografici e festival; talvolta ripercorrono le fortune della musica di un compositore e, quale fatto di maggior interesse, affrontano alcuni problemi della scrittura musicale oppure delineano tematiche molto ampie da cui fa scaturire una riflessione.reservedmixedCALABRETTO RCalabretto, Robert

REPRESENTATION OF MULTI-STRUCTURED Documents with OWL. Applications to Philology.

Multi-Structured documents (denoted MSDs) are documents whose structure is composed of a set of concurrent hierarchical structures. Many distinct structures may be defined simultaneously for the same original document (logical structure, physical structure). Each hierarchy analyses the text within the document by a different point of view, which depends on different use of that text. These structures may overlap over the document contents. XML has become the most used language for encoding electronic documents. XML documents are tree based; and since there are overlapping between different structures, the hierarchy of a tree allows encoding a document depending on one structure. Some applications need to consider more than one hierarchy over the same text, which corresponds to different analysis for different uses of that document. If several different structures should be represented, the solution that manages several different versions for same information is not only ineffective and expensive in time and resources, but does not allow, for example, a search for information relating to two different structures for the same document. One of the distinguished solutions that addressed this problematic, is a generic model called Multi- Structure Document Model (MSDM), which is independent of any formalism of encoding. However MSDM is encoded by formalism called MultiX that uses XML syntax. MultiX could serialize the MSDM model into XML syntax and expresses the different structures and their correspondences in a single xml file. However it still has some complexity due to its respect to XML tree model. In this paper, we will present how to encode MSDs depending on MSDM but by means of non-tree based data model (graph based). We will use Ontology Web Language (OWL) to represent the metadata that corresponds to XML schema in MultiX. To illustrate our work, we choose, as running example, an application of philology (science dedicated to the study of text history).The example is a fragment of an old manuscript written in Occitan language. Keywords: Multi-Structured documents, XML, MSDM, MultiX, OWL, encoding manuscripts

Recherche d'information contextuelle et web

International audienceL'objectif de ce chapitre est d'apporter un éclairage sur ces problématiques, sur leurs origines, sur les verrous posés par la RI classique dans un tel cadre, ainsi que sur les solutions apportées dans la communauté

Multiple perspectives HMM-based feature engineering for credit card fraud detection

Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated events and not as a sequence of transactions. In this article, we model a sequence of credit card transactions from three different perspectives, namely (i) does the sequence contain a Fraud? (ii) Is the sequence obtained by fixing the card-holder or the payment terminal? (iii) Is it a sequence of spent amount or of elapsed time between the current and previous transactions? Combinations of the three binary perspectives give eight sets of sequences from the (training) set of transactions. Each one of these sets is modelled with a Hidden Markov Model (HMM). Each HMM associates a likelihood to a transaction given its sequence of previous transactions. These likelihoods are used as additional features in a Random Forest classifier for fraud detection. This multiple perspectives HMM-based approach enables an automatic feature engineering in order to model the sequential properties of the dataset with respect to the classification task. This strategy allows for a 15% increase in the precision-recall AUC compared to the state of the art feature engineering strategy for credit card fraud detection.Comment: Presented as a poster in the conference SAC 2019: 34th ACM/SIGAPP Symposium on Applied Computing in April 201

Supporting a Medication Management Model with Digital Documents

Medication management is an approach to addressing medication-related adverse patient events. We have formulated a model of essential medication-related information components to support pharmacists undertaking this task, because there is currently little technology to support such decision-making. We believe the system should identify necessary components but not mandate their presence because of the dilemma of missing information. A possible additional answer lies in supporting communication and acknowledging the contribution of knowledge, rather than attempting to provide all possible information. Our model underpinned a document-centric approach, using XML-based XForms, to develop a decision support tool. This allowed rapid development of a simple dynamic tool that shows promise for simple decision support in the health environment

DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries

Distributed events such as multi-day festivals and conventions attract thousands of attendees. Their programs are usually very dense, which makes it difficult for users to select activities to perform. Recent works have proposed event and itinerary recommendation algorithms to solve this problem. Although several datasets have been made available for the evaluation of event recommendation algorithms, they do not suit well for the case of distributed events or itinerary recommendation. Based on the study of available online resources, we define dataset attributes required to perform event and itinerary recommendations in the context of distributed events, and discuss the compliance of existing datasets to these requirements. Revealing the lack of publicly available datasets with desired features, we describe a data collection process to acquire the publicly available data from a major comic book convention website. We present the characteristics of the collected data and discuss its usability for evaluating recommendation algorithms

ANASTASIA : recommandation de séquences d'activités spatio-temporelles

National audienceAs amount of activities available for users and their variety have grown, personalised recommendation of activities sequences has become an important challenge. However, most of recommender systems do not consider temporal constraints of activities, making the recommendation hard for user to follow. In this article, we describe a novel approach for recommendation of competing activities limited in time. It makes use of historical records of users' activities in order to mine users' behavioral patterns, and combines different contextual elements (popularity, demographic and spatio-temporal information). We present an evaluation framework and a dataset that will allow us to evaluate our approach.Avec l’augmentation du nombre et de la variété des activités accessibles par les utilisateurs, la recommandation personnalisée de séquences d’activités devient un enjeu important. Or, la plupart des systèmes de recommandation ne tiennent pas compte des contraintes temporelles liées aux activités, ce qui rend la recommandation difficile à suivre par un utilisateur. Dans cet article, nous décrivons une nouvelle approche pour la recommandation de séquences d’activités limitées dans le temps et concurrentes. Elle s’appuie sur l’historique des activités des utilisateurs pour extraire des motifs comportementaux et intègre différents éléments contextuels (popularité, informations démographiques et spatio-temporelles). Nous présentons un protocole d’évaluation et un jeu de données qui permettra l’évaluation de notre approche

Recommandation de séquences d’activités en contexte mobile et dynamique

National audienceLa recommandation de séquences d'activités spatio-temporelles (Points d'Intérêts, POIs) est de plus en plus utile et demandée avec la pénétration des systèmes de localisation et des réseaux géo-sociaux dans la vie quotidienne. Nous proposons une approche personnalisée de recommandation de séquences d'activités en contexte mobile et dynamique

Recommandation de séquences d’activités en contexte mobile et dynamique

National audienceLa recommandation de séquences d'activités spatio-temporelles (Points d'Intérêts, POIs) est de plus en plus utile et demandée avec la pénétration des systèmes de localisation et des réseaux géo-sociaux dans la vie quotidienne. Nous proposons une approche personnalisée de recommandation de séquences d'activités en contexte mobile et dynamique

Pathogenesis of Neutropenia in large granular lymphocyte leukemia: immunophenotypic and molecular characterization of neutropenic patients

Large Granular Lymphocytes (LGLs) leukemia (LGLL) is a chronic lymphoproliferation of clonal cytotoxic LGLs, which can be divided in two different subsets, based on Cluster of Differentiation (CD)-3 expression: CD3- Natural Killer (NK) cells and CD3+/CD8+/CD4- or CD3+/CD8-/dim/CD4+ T-LGLs. Leukemic LGLs are characterized by the up-regulation of several pro-survival signaling pathways. Among these, the most relevant is the JAK-STAT axis, whose constitutive activation is in part explained by somatic activating mutations in STAT3 and STAT5b. Neutropenia is the most frequent clinical manifestation, but its pathogenesis is still unknown, although high levels of soluble Fas Ligand (sFasL) were detected in serum of LGLL patients and supposed to trigger neutrophil’s death. This work aimed i) to describe the distinctive biological features of T-LGLs or NK cells of neutropenic LGLL patients; ii) to investigate the role of microRNAs in the regulation of sFasL expression in leukemic LGLs. LGLs were purified by FACSAriaIII cell sorter from peripheral blood mononuclear cells (PBMCs) of untreated LGLL patients and their immunophenotype was evaluated by Flow Cytometry. The screening of STATs mutations was performed by Sanger sequencing. PBMCs of patients were cultured in vitro and STAT3 transcriptional activity were inhibited or stimulated with Stattic or IL-6, respectively. Transcriptional and protein expression levels were evaluated by Real Time-PCR, Western Blot (WB) assays and ELISA test.High throughput and single miRNA analysis were carried out on purified T-LGLs by using the TaqMan® Human microRNA Array and Assays, respectively. Transfection with miR-146b mimic was performed using the Amaxa Nucleofactor and the Ingenio Electroporation Solution. We showed that leukemic T-LGLs of neutropenic patients were characterized by CD3+/CD8+/CD16+/CD56- phenotype, higher STAT3 activations, higher incidence of STAT3 mutations and higher levels of sFasL, compared to T-LGLs of non-neutropenic patients. We also demonstrated that FasL transcription was mediated by STAT3 activation in T-LGLL patients. The characterization of neutropenic CLPD-NK patients, instead, showed that they are characterized by CD56-/dim/CD16high/CD57- cytotoxic NK cells expansion. However, we observed a heterogeneous level of STAT3 activation and a heterogeneous expression of FasL in this subset of patients. To investigate whether STAT3 could play its pathogenetic role in T-LGLs through an altered expression of microRNAs, we studied miRNAs differentially expressed in patients characterized by neutropenia as compared to those with normal absolute neutrophil count (ANC). We showed that miR-146b expression, found down-regulated in neutropenic patients, was correlated with the ANC of T-LGLL patients. To investigate miR-146b role in neutropenia development, we transfected purified T-LGLs with a miR-146b mimic. We showed that restoration of miR-146b led to a decrease of FasL mRNA, without changes in the FasL primary transcript as compared to control. However, FasL was not identified among the putative miR-146b target genes, suggesting that miR-146b could regulate FasL expression indirectly. Therefore, we checked for genes involved in mRNA stability and we found that the defective miR-146b expression lead to increased transcriptional levels of the mRNA stabilizer HuR, that is required for FasL expression in T-lymphocytes10. Consistently, by WB assays, we demonstrated that in T-LGLs of neutropenic patients HuR endogenous protein levels were higher than in T-LGLs of non-neutropenic ones. HuR-mediated FasL mRNA stabilization explained the increased FasL expression observed in neutropenic patients. In this work we identify distinctive features of neutropenic LGLL patients, that could acquire relevance to correctly address the management of each patient, and we identify a miR-146b-FasL axis involved in neutropenia development in leukemic T-LGLs