103,964 research outputs found
Nuova scuola a Monteleone di Puglia
Pubblicato in:
F. Bucci, G. Cioffi, A scuola, entre les murs-Angelo Torricelli, Nuova scuola a Monteleone di Puglia, "Casabella", n.796, 2010
F. Collotti, Muro e piazza, l’acropoli necessaria. La scuola antisismica di Monteleone di Puglia, in “Archi”, n.2, 2010
Esposto in occasione della mostra Equìvivere. Vivere per un’architettura sostenibile, 22 maggio-4 luglio 2011, Cittadella (Pd);
Esposto in occasione della mostra Equìvivere. Vivere per un’architettura sostenibile, 6-10 settembre 2011, Bari;
Esposto in occasione della mostra Italy Now Architecture 2000-2010, 25-28 settembre 2011, Tokyo
Stima dell’evapotraspirazione delle colture:confronto tra la formula Penman-Monteith e quella Hargreaves.
A CURA DI TARANTINO E. e MONTELEONE M
MONITORAGGIO DELLA SALINITA' DELLE ACQUE DEI POZZI E DEI SUOLI IN LOCALITA' LITORANEE DELLA CAPITANATA.
A CURA DI TARANTINO E. e MONTELEONE M
Monteleone di Spoleto.
Rassegna bibliografica critica dei lavori sul centro sabino di Monteleone di Spoleto con particolare riguardo alla necropoli dell'Età del Bronzo Finale (X sec. a.C.) e del celebre carro bronzeo decorato con storie di Achille
EFFETTI DELL'IRRIGAZIONE CON ACQUE SALMASTRE SUL LIVELLO DI SALINITA' DEL SUOLO E SULLA PRODUZIONE DEL CARCIOFO.
A CURA DI TARANTINO E. e MONTELEONE M
Short interval intracortical facilitation correlates with the degree of disability in multiple sclerosis
Mori F, Kusayanagi H, Monteleone F, et al. Short interval intracortical facilitation correlates with the degree of disability in multiple sclerosis. Brain Stimulation. 2013;6(1):67-71
Electronic Dictionaries for Information Retrieval, Automatic Textual Analysis and Semantic-Based Data Mining Software
Today Lexicon-Grammar (LG) remains one of the most consistent
Natural Language Processing (NLP) approaches, especially for
Semantic-Based Data Mining (SBDM) and Semantic Web. Its main goal
is to describe all mechanisms of word combinations closely related to the
concrete use of lexical units and to sentence creation. Also, it gives an
exhaustive description of lexical and syntactic structures of several
languages. LG was set up by the French linguist Maurice Gross during
the ‘60s, and subsequently developed for and applied to Italian by
Annibale Elia, Emilio D’Agostino and Maurizio Martinelli. Its
theoretical approach is prevalently based on Zelig Sabbettai Harris’
Operator-Argument Grammar, which assumes that each human language
is a self-organizing system, and that the syntactic and semantic properties
of a given word may be calculated on the basis of the relationships this
word has with all other co-occurring words inside given sentence
contexts. Simple sentences2 are the minimal linguistic meaning structures
upon which LG founds its studies on natural language syntactic features.
In the last twenty years, LG has also reached important results in the
domain of automatic textual analysis and parsing with NLP-oriented
software such as INTEX3, UNITEX4, and more recently NOOJ5.
1 Alberto Postiglione is author of paragraph 4.1. Mario Monteleone is author of
paragraphs 3.1 and 4. Federica Marano is author of paragraphs 3.2 and 4.3. Johanna
Monti is author of sections 1 and 2. Antonella Napoli is author of paragraph 4.2.
2 In LG, a simple sentence is formed by a unique predicative element (a verb, but
also a name or an adjective) plus all the necessary arguments it selects to achieve
acceptability and grammaticality. The study of simple sentences is completed analyzing
the rules of co-occurrence and selection restriction, which are distributional and
transformational rules based on predicate syntactic-semantic properties.
3 For more on INTEX, see http://intex.univ-fcomte.fr/.
4 For more on UNITEX, see http://www-igm.univ-mlv.fr/~unitex/.
5 For more on NooJ, see http://www.nooj4nlp.net/pages/nooj.html.
ALBERTO POSTIGLIONE - MARIO MONTELEONE -
FEDERICA MARANO - JOHANNA MONTI - ANTONELLA NAPOLI1
Università degli Studi di Salerno
ELECTRONIC DICTIONARIES FOR INFORMATION RETRIEVAL,
AUTOMATIC TEXTUAL ANALYSIS AND SEMANTIC-BASED
DATA MINING SOFTWARE
1. Theoretical and analytical framework: Lexicon-Gramma
Siloxanes removal from biogas by high surface area adsorbents
Biogas utilized for energy production needs to be free from organic silicon compounds, as their burning has damaging effects on turbines and engines; organic silicon compounds in the form of siloxanes can be found in biogas produced from urban wastes, due to their massive industrial use in synthetic product, such as cosmetics, detergents and paints. Siloxanes removal from biogas can be carried out by various methods (Mona, 2009; Ajhar et al., 2010 May; Schweigkofler and Niessner, 2001); aim of the present work is to find a single practical and economic way to drastically and simultaneously reduce both the hydrogen sulphide and the siloxanes concentration to less than 1ppm. Some commercial activated carbons previously selected (Monteleone et al., 2011) as being effective in hydrogen sulfide up taking have been tested in an adsorption measurement apparatus, by flowing the most volatile siloxane (hexamethyldisiloxane or L2) in a nitrogen stream, typically 100-200ppm L2 over N2, through an activated carbon powder bed; the adsorption process was analyzed by varying some experimental parameters (concentration, grain size, bed height). The best activated carbon shows an adsorption capacity of 0.1g L2 per gram of carbon. The next thermogravimetric analysis (TGA) confirms the capacity data obtained experimentally by the breakthrough curve tests. The capacity results depend on L2 concentration. A regenerative carbon process is then carried out by heating the carbon bed up to 200. °C and flushing out the adsorbed L2 samples in a nitrogen stream in a three step heating procedure up to 200. °C. The adsorption capacity is observed to degrade after cycling the samples through several adsorption-desorption cycles. © 2013 Elsevier Ltd
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