86,889 research outputs found
Fossati F., Robustelli F., Schito P., Bertorello C., “Experimental and numerical assessment of high speed small craft aerodynamics”, HSMV2014, Naples (Italy), October 2014
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"Firenze, Piazza delle lingue d'Europa", Firenze, Accademia della Crusca, 3.7.2007 [CONVEGNO]
No full textla manifestazione "Firenze piazza delle lingue d'Europa" ha compreso una serie di eventi che si sono tenuti presso la sede dell'Accademia della Crusca, nella cornice della Villa Medicea di Castello, alle porte di Firenze, il giorno 3 luglio 2007. giornata di studio e dibattito sul tema Le lingue d'Europa: Patrimonio comune dei cittadini europei. Sono intervenuti esponenti di spicco del mondo scientifico e politico europeo, e in particolare Leonard Orban, Commissario europeo per il multilinguismo. A seguire si è tenuta una Tavola Rotonda sul tema I giornali per l'Europa Multilingue, alla quale hanno partecipato giornalisti ed esponenti delle più importanti testate giornalistiche nazionali nonché colleghi di quotidiani europei. Il giorno successivo, 4 luglio 2007, la rassegna si è spostata all'Università di Bologna, presso il Complesso di Santa Cristina, Piazzetta G. Morandi 2, per il convegno Traduttori e interpreti per l'europa.Rassegna stampa:http://www.accademiadellacrusca.it/le_lingue_d_europa.shtm
Un contributo alla grammaticografia postunitaria
No full textLa presentazione del volume di grammatica inquadra il volume nella ricca fioritura di grammatiche scolastiche che caratterizzò il periodo degli anni immediatamente postunitari, del quale vengono sottolineati i tratti salienti con particolare riguardo al processo di alfabetizzazione. L'italiano presentato in questa grammatica viene analizzato e commentato alla luce della "norma" letteraria e delle innovative proposte manzonian
A federated approach to Android malware classification through Perm-Maps
No full textIn the last decades, mobile-based apps have been increasingly used in several application fields for many purposes involving a high number of human activities. Unfortunately, in addition to this, the number of cyber-attacks related to mobile platforms is increasing day-by-day. However, although advances in Artificial Intelligence science have allowed addressing many aspects of the problem, malware classification tasks are still challenging. For this reason, the following paper aims to propose new special features, called permission maps (Perm-Maps), which combine information related to the Android permissions and their corresponding severity levels. Such features have proven to be very effective in classifying different malware families through the usage of a convolutional neural network. Also, the advantages introduced by the Perm-Maps have been enhanced by a training process based on a federated logic. Experimental results show that the proposed approach achieves up to a 3% improvement in average accuracy with respect to J48 trees and Naive Bayes classifier, and up to 16% compared to multi-layer perceptron classifier. Furthermore, the combined use of Perm-Maps and federated logic allows dealing with unbalanced training datasets with low computational efforts
Artificial neural networks for resources optimization in energetic environment
No full textResource Planning Optimization (RPO) is a common task that many companies need to face to get several benefits, like budget improvements and run-time analyses. However, even if it is often solved by using several software products and tools, the great success and validity of the Artificial Intelligence-based approaches, in many research fields, represent a huge opportunity to explore alternative solutions for solving optimization problems. To this purpose, the following paper aims to investigate the use of multiple Artificial Neural Networks (ANNs) for solving a RPO problem related to the scheduling of different Combined Heat & Power (CHP) generators. The experimental results, carried out by using data extracted by considering a real Microgrid system, have confirmed the effectiveness of the proposed approach
Somatic mutations at the T-cell antigen receptor in antineoplastic drug-exposed populations: comparison with sister chromatid exchange frequency
No full textOBJECTIVE:
The objective of this study was to assess the genetic effect of occupational exposure to antineoplastic agents.
METHOD:
The influence of occupational handling of cytotoxic drugs was investigated by monitoring the frequency of sister chromatid exchanges (SCE), the percentage of cells with high frequencies of SCE (high-frequency cells, HFC), and the frequency of somatic mutation at the T-cell receptor (TCR) locus in mononuclear cells of exposed hospital nurses. These parameters were also measured in healthy donors and in cancer patients at the time of the diagnosis and following the administration of high doses of cytotoxic drugs requiring stem cell support.
RESULTS:
Our results show that (a) SCE and HFC values in occupationally exposed nurses do not differ from controls, (b) patients with newly diagnosed cancer or following chemotherapy show a number of SCE comparable to those of healthy donors, but a significantly different percentage of HFC, (c) cigarette smokers of all categories studied show higher frequencies of SCE and HFC as compared to nonsmokers, but the differences are not statistically significant, (d) the mutation frequency at the TCR locus in oncology nurses is higher, but not significantly different from the frequency in the control group, and (e) the increase of mutation frequency is statistically significant and seems to be dose dependent in patients treated with high-dose chemotherapy.
CONCLUSIONS:
Our data suggest that SCE frequency and HFC percentage are not reliable indicators of exposure to possible mutagenic/carcinogenic effects of antineoplastic drugs; on the contrary, our observations indicate that anticancer therapy induces somatic mutations at the TCR locus and suggest an association between exposure to cytotoxic agents and the increase in somatic mutations
Donne al lavoro (medico, direttore, poeta): ancora sul femminile dei nomi di professione
No full textRiflessioni sulla storia e sulla struttura morfologica di alcuni nomi di professione femminili (medica, direttrice, poeta
An Android Malware Multi-class Classification Explained Through Genetic Programming
No full textThe interest in applying Artificial Intelligence algorithms within security contexts is rapidly growing, particularly for the tasks related to malware detection and classification. Over the last decade, numerous Machine Learning (ML) and Deep Learning (DL)-based techniques have been proposed to address the growth of malicious applications, focusing on utilizing features derived from dynamic malware analysis. However, these approaches are often considered black boxes due to their limited ability to explain the results they produce. On the contrary, this study seeks to develop a new model for identifying malware families in an interpretable manner. The methodology employs Genetic Programming to construct a multi-class classifier characterized by a mathematical formula expressing the relationship between dynamic features and the considered malware families. Experimental results, based on Android applications from Unisa Malware Dataset (UMD), showcase the effectiveness of our approach in achieving comparable average scores to the most famous Machine Learning techniques
The dramatic cluster of pyroclastic debris flows which occurred on 5th and 6th May 1998 in the Sarno Mountains (Vesuvius Regio, Souther Italy): a geomorphological perspective. In: Landslides in research, theory and practice. Bromehead E, Dixon N. & Ibsen M-L Editors; Thomas Telford, London.
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