196,322 research outputs found
ENTREVISTA COM A ARTISTA VISUAL E PROFESSORA ISABELLE CATUCCI
No full textEntrevista cedida pela artista visual e professora Isabelle Catucci, para Tânia Bloomfield, em 14/10/2022, na plataforma Teams. Vídeo: 115 m
Nuovo Realismo / Postmodernismo. Dibattito aperto fra architettura e filosofia. Coordinamento e organizzazione scientifica del Convegno Nazionale, Roma 28-29 Ottobre 2014
No full textCon riferimento al dibattito aperto in campo architettonico dal nuovo realismo di Maurizio Ferraris, il convegno ha inteso proporre un confronto su alcuni dei presupposti che hanno indotto a pensare a "un punto di svolta". Oggi le necessità reali - scrive Ferraris - "non sopportano di essere ridotte a interpretazioni", a quelle traduzioni-tradimenti di cui il postmodernismo (anche architettonico) sarebbe manifestazione eloquente. Ma il postmodernismo può dirsi anti-realista? E l'architettura, in quanto "oggetto sociale" ed esito di un progetto in vista di un miglioramento delle condizioni esistenti, non è opera di una continua attività ermeneutica, piuttosto che semplice rispecchiamento estetico della realtà? Sono queste alcune delle molteplici questioni poste dal convegno, il cui confronto dell'architettura con la filosofia non attende risposte certe, piuttosto l'apertura di nuovi orizzonti epistemologici e operativi. Il convegno si è svolto a Roma presso l'Aula magna di Fontanella Borghese della Facoltà di Architettura Sapienza Università di Roma, nei giorni 28-29 Ottobre 2014. Vi hanno partecipato (nell'ordine delle relazioni): M. Ferraris, P. Belfiore, C. Sini, S. Malcovati, R. Causarano, R. Secchi, F. Purini, E. Rocca, G. Durbiano, R. Capozzi, H. Hohenegger, M. Dezzi Bardeschi, G. Scotto, G. Strappa, A. Saggio, R. Palaia, R. Pavia, P. Mascilli Migliorini. Responsabile scientifico: Paola Gregory; Coordinamento scientifico: Paola Gregory, Cristina Marras, Stefano Catucci; Segreteria organizzativa: Saverio Massaro; Postproduzione e montaggio video: LaMa_Laboratorio Multimediale DiAP. Annunciato sul "Corriere della Sera", Mercoledì 15 Ottobre 2014, p. 45 (cultura), il convegno ha avuto risonanza nazionale e alcune recensioni. In particolare: R. Capozzi, Nuovo Realismo/Postmodernismo, un dibattito aperto: architettura e filosofia, in "Ananke", n. 74, Gennaio 2015, pp. 152-154; A. Riciputo, L'architettura della verità tra realtà e interpretazione, in "L'industria delle costruzioni", n. 442, marzo-aprile 2015, pp. 106-107. Gi Atti del convegno sono stati pubblicati nel 2016 da Officina Edizioni (cfr. la scheda su IRIS: ID:114981)
Modeling Posidonia oceanica shoot density and rhizome primary production
No full textPosidonia oceanicameadows rank among the most important and most productive ecosystems in
the Mediterranean basin, due to their ecological role and to the goods and services they provide.
estimations of crucial ecological process such as meadows productivity could play a major role in an
environmental management perspective and in the assessment of P. oceanicaecosystem services.
In this study, a Machine Learning approach, i.e. Random Forest, was aimed at modeling P. oceanica
shoot density and rhizome primary production using as predictive variables only environmental
factors retrieved from indirect measurements, such as maps. Our predictive models showed a good
level of accuracy in modeling both shoot density and rhizome productivity (R
2
= 0.761 and R
2
= 0.736,
respectively). Furthermore, as shoot density is an essential parameter in the estimation of P. oceanica
productivity, we proposed a cascaded approach aimed at estimating the latter using predicted values
of shoot density rather than observed measurements. In spite of the complexity of the problem, the
cascaded Random forest performed quite well (R2 = 0.637). While direct measurements will always
play a fundamental role, our estimates could support large scale assessment of the expected condition
of P. oceanica meadows, providing valuable information about the way this crucial ecosystem works
A Machine Learning approach to the assessment of the vulnerability of Posidonia oceanica meadows
No full textPosidonia oceanica is an endemic Mediterranean seagrass that ranks among the most important and valuable species, with regard to both its ecological role and the services it provides. Despite this species is one of the main targets of conservation actions, the current regression trend of P. oceanica is alarming, underlying the urgent need for reliable methods capable of assessing meadows vulnerability. To address this need, we developed a Habitat Suitability Model (HSM) aimed at assessing the vulnerability of P. oceanica meadows in the Italian marine coastal waters using the Random Forest (RF) Machine Learning technique. Building on the current knowledge on both spatial distribution and condition of meadows in the Italian seas, the RF was used as a classifier aimed at modeling the habitat suitability for P. oceanica, rather than for predictive purposes. The assessment of the potentially most vulnerable P. oceanica meadows at increasing risk of regression was performed through the analysis of the RF output. The HSM showed a good level of accuracy, i.e. Cohen’s K = 0.685. The proposed approach provided valuable information regarding the vulnerability of P. oceanica meadows over the Italian marine coastal waters. In addition, an evaluation of the relative importance of the predictors was carried out using the permutation measure. The developed HSM can support conservation and monitoring programs regarding this species playing a crucial role in the marine ecosystems of the Mediterranean Sea
Fra tempo e spazio: rassegna sul vuoto in musica
No full textBreve rassegna in margine a un'esplorazione multidisciplinare della questione del "vuoto"
Senso e progetto. Il contributo dell’estetica
No full textLe relazioni disciplinari fra estetica e architettura alla luce del dibattito su "autorialità" e "anonimità" del manufatto architettonico
Corpus Vasorum Antiquorum, Italia, 73, Matera, Museo Nazionale "Domenico Ridola", Collezione Rizzon, Fascicolo I
No full textIl volume costituisce l'edizione compiuta della collezione vascolare Rizzon nel Museo "Ridola" di Matera. Questa collezione si compone di vasi lucani ed apuli a figure rosse in gran parte ancora inediti, i quali vengono inquadrati nel volume del Corpus in ampie schede corredate da un ricco apparato fotografico
Essere giusti con Marx
No full textA partire da un riesame dei luoghi nei quali Michel Foucault nomina, esamina o riassume il pensiero di Marx, sia nei testi editi che negli inediti di recente acquisizione, si specifica il senso di una critica troppo spesso trattata in modo approssimativo. Si comprende così che il Marx di Foucault è anzitutto lo storico, non il teorico della politica, ma che le affinità sui piani del metodo, dell'etica e persino dell'estetica sono maggiori di quanto non appaia a prima vista
A Machine Learning approach to the assessment of the vulnerability of Posidonia oceanica meadows
No full textPosidonia oceanicais an endemic Mediterranean seagrass that ranks among the most important and valuable
species, with regard to both its ecological role and the services it provides. Despite this species is one of the main
targets of conservation actions, the current regression trend of P. oceanicais alarming, underlying the urgent
need for reliable methods capable of assessing meadows vulnerability. To address this need, we developed a
Habitat Suitability Model (HSM) aimed at assessing the vulnerability ofP. oceanicameadows in the Italian
marine coastal waters using the Random Forest (RF) Machine Learning technique. Building on the current
knowledge on both spatial distribution and condition of meadows in the Italian seas, the RF was used as a
classifier aimed at modeling the habitat suitability forP. oceanica, rather than for predictive purposes. The
assessment of the potentially most vulnerableP. oceanicameadows at increasing risk of regression was performed through the analysis of the RF output. The HSM showed a good level of accuracy, i.e. Cohen’s K = 0.685.
The proposed approach provided valuable information regarding the vulnerability ofP. oceanicameadows over
the Italian marine coastal waters. In addition, an evaluation of the relative importance of the predictors was
carried out using the permutation measure.
The developed HSM can support conservation and monitoring programs regarding this species playing a
crucial role in the marine ecosystems of the Mediterranean Sea
Fractal dimension of Posidonia oceanica meadows for the assessment of their ecological condition
No full textEcological analyses are aimed at characterizing the complexity of the structure of natural objects, yet their
heterogeneity is hardly described by the Euclidean concepts. For such purpose, the fractal geometry can be best
suited due to its ability in describing, with mathematical rigor, the inherent irregularity of nature. Fractal
dimension provides indeed a measurement of the complexity of the analyzed object in terms of space occupation.
In this study, we applied the fractal geometry to Posidonia oceanica in order to characterize the structural
complexity of its meadows, which are widely recognized as one of the most important coastal ecosystems in the
Mediterranean basin. For achieving our aim, we developed an ad hoc implementation of the Box-Counting algorithm based on the Moore neighborhood analysis. Our approach allowed to render the structural complexity of
P. oceanica meadows spatially explicit, thus expressing an intrinsic ecological property. The fractal analysis
suggested that the complexity of meadows structure is intimately connected with the ecological conditions of
P. oceanica. In fact, meadows in living and mixed conditions showed a higher fractal dimension, suggesting a
largely uniform and smooth structure. While the fractal dimension associated to the regressed ecological condition of P. oceanica meadows exhibited lower values, highlighting a more jagged and rough structure. Therefore,
the fractal theory may prove useful to both fundamental and applied ecological research focusing on P. oceanica
and its interactions with Mediterranean coastal ecosystems. In fact, the fractal analysis we performed could result
in an effective and straightforward approach for assessing the condition of P. oceanica at large spatial scale,
enhancing an integrated maritime spatial planning over the whole Mediterranean basin
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