3,658 research outputs found
Ebraismo e Cristianesimo in Natalia Ginzburg
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
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'esperienza del Comune di Arezzo nella migrazione da un sistema proprietario verso l'Open Source
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
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
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
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
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