3,658 research outputs found

    Sollecitazioni buddiste in Calvino

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    Ebraismo e Cristianesimo in Natalia Ginzburg

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    Nelle opere di Natalia Ginzburg la caratterizzazione tende a non sottolineare alcuna appartenenza religiosa, ma anche in quelle meno direttamente autobiografiche è possibile riconoscere una scala di valori intellettuali e progressisti che in Italia è particolarmente legata all’ebraismo. I caratteri di fattività e concretezza che questo atteggiamento sottintende sono rappresentati come isolamento nei personaggi italiani, e aperta vulnerabilità nei personaggi di ebrei stranieri. Gli scritti autobiografici ricostruiscono un’infanzia sotto l’ombra problematica di una mancata appartenenza religiosa che nei saggi dà luogo a una vera e propria confutazione dell’ateismo. Alcuni interventi giornalistici vertono sul tema della propria identità ebraica e in particolare sulla differenza fra ebrei e israeliani, mentre altri, insieme con le uniche due poesie dell’autrice, indicano il recupero, o la conquista, di un atteggiamento religioso che evidenzia una sostanziale continuità fra ebraismo e cristianesimo

    Structured Optical Materials Controlled by Light

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    Materials of which the optical response is determined by their structure are of much interest both for their fundamental properties and applications. Examples range from simple gratings to photonic crystals. Obtaining control over the optical properties is of crucial importance in this context, and it is often attempted by electro-optical effect or by using magnetic fields. In this paper, we introduce the use of light to switch and tune the optical response of a structured material, exploiting a physical deformation induced by light itself. In this new strategy, light drives an elastic reshaping, which leads to different spectral properties and hence to a change in the optical response. This is made possible by the use of liquid crystalline networks structured by Direct Laser Writing. As a proof of concept, a grating structure with sub-millisecond time-response is demonstrated for optical beam steering exploiting an optically induced reversible shape-change. Experimental observations are combined with finite-element modeling to understand the actuation process dynamics and to obtain information on how to tune the time and the power response of this technology. This optical beam steerer serves as an example for achieving full optical control of light in broad range of structured optical materials

    L’Olanda e la tolleranza: Sjoerd Kuyper, un esempio di letteratura giovanile

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    L'esperienza del Comune di Arezzo nella migrazione da un sistema proprietario verso l'Open Source

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    2008-04-17Sardegna Ricerche, Edificio 2, Località Piscinamanna 09010 Pula (CA) - ItaliaPAAL 2008 - Pubblica Amministrazione Aperta e Libera: dalle tecnologie aperte alla libera circolazione dei contenuti digital

    Machine learning in spectral domain

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    Deep neural networks are usually trained in the space of the nodes, by adjusting the weights of existing links via suitable optimization protocols. We here propose a radically new approach which anchors the learning process to reciprocal space. Specifically, the training acts on the spectral domain and seeks to modify the eigenvectors and eigenvalues of transfer operators in direct space. The proposed method is ductile and can be tailored to return either linear or non linear classifiers. The performance are competitive with standard schemes, while allowing for a significant reduction of the learning parameter space. Spectral learning restricted to eigenvalues could be also employed for pre-training of the deep neural network, in conjunction with conventional machine-learning schemes. Further, it is surmised that the nested indentation of eigenvectors that defines the core idea of spectral learning could help understanding why deep networks work as well as they do

    Applying clustering based on rules on WHO-DAS II for knowledge discovery on functional disabilities

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    The senior citizens represent a fast growing proportion of the population in Europe and other developed areas. This increases the proportion of persons with disability and reducing quality of life. The concept of disability itself is not always precise and quantifiable. To improve agreement on the concept of disability, the World Health Organization (WHO) developed a clinical test WHO Disability Assessment Schedule, (WHO-DASII) that is understood to include physical, mental, and social well-being, as a generic measure of functioning. From the medical point of view, the purpose of this work is to extract knowledge on the performance of the test WHO-DASII on the basis of a sample of neurological patients from an Italian hospital. This Knowledge Discovery problem has been faced by using clustering based on rules, a technique stablished on 1994 by Gibert which combines some Inductive Learning (from AI) methods with Statistics to extract knowledge on ill-structured domains (that is complex domains where consensus is not achieved, like is the case). So, in this paper, the results of applying this technique to the WHO-DASII results is presented.Postprint (published version

    Potenzialità del telerilevamento laser scanner aereo per la classificazione delle coperture forestali in funzione della forma di governo

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    In questo studio è stata valutata la potenzialità del telerilevamento laser scanner aereo (ALS) per classificare le forme di governo forestale in un bosco misto di latifoglie. La metodologia applicata prevede l’utilizzo del modello digitale delle chiome (CHM) ottenuto da dati ALS e l’impiego di procedure automatizzate per la segmentazione object-oriented delle immagini telerilevate. La classificazione delle forme di governo si basa sulle metriche estratte dal CHM. I risultati ottenuti indicano che la media delle altezze e il coefficiente di variazione delle altezze estratti dal CHM sono utili per distinguere i boschi governati a ceduo da quelli governati a fustaiaIn this study aerial laser scanning (ALS) data has been tested to classify coppice stands and high forest stands in a mixed broadleaved forest. The method is based on a canopy height model (CHM) obtained from ALS data. Forest stands have been delineated using a object-oriented approach. The polygons have been classified into coppices and high forests based on the metrics derived from CHM. Our results indicate that the mean of the heights and the coefficient of variation of the heights extracted from CHM are useful to discriminate coppices from high forests.L'articolo è disponibile sul sito dell'editore www.asita.i

    Adequacy of the production rules

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    Adequacy of the production rules
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