303 research outputs found
Per conoscere le fondazioni. I mondi delle fondazioni in Italia e all’estero
No full textRicerca a più facce sul mondo delle fondazioni. Il volume contiene un’indagine empirica sulle fondazioni in Italia, saggi sulla situazione americana e tedesca, oltre a un essenziale "lessico" specializzato.- Indice #7- Prefazione, Giovanni Agnelli #11- Le fondazioni in Italia, Marcello Pacini #17- Le fondazioni in Italia. Un profilo empirico, Marco Demarie #29- Le fondazioni nella nuova Europa.Missione e ruolo, John Richardson #91- Le fondazioni tedesche. Modelli, funzioni e sviluppi, Rupert Graf Strachwitz #107- Le fondazioni filantropiche negli Stati Uniti. Tendenze, impatto e orientamenti futuri, Elizabeth Trocolli Boris #133- Lessico essenziale, Davide Guzzi #169- Riferimenti bibliografici #18
Stranding of Porpita porpita (Cnidaria, Hydrozoa) in Ligurian coast: sampling bias or evidence of a warming sea?
No full textOn September 1st, 2023 three specimens of the blue button Porpita porpita (Linnaeus, 1758) (Cnidaria, Hydrozoa) were found stranded along the store of the Genoa metropolitan area (northwest Mediterranean Sea, Ligurian Sea) as a result of a citizen science contribution. This record represents the second observation of the species in this area after the first one, occurred in 2019. The general increase in observations of P. porpita in the Mediterranean basin, from 2010 on, may suggest a higher abundance of specimens in the sea, likely due to climate change, an intensified effort in reporting sightings of citizens scientist (whose data accounts for more than 85% of total available records), or a combination of both factors. The analysis of environmental data related to this latest stranding event suggests that this occurred under specific meteorological conditions. Since monitoring the spread of non-indigenous species is fundamental to study global warming effects on marine biodiversity, the understanding of the precise environmental settings under which they may occur might reduce observational biases and contribute to the acquisition of sound data less linked to fortuitous observations
Prevalence and risk factors for multiple chemical sensitivity in Australia
No full textThe author found that the prevalence of diagnosed multiple chemical sensitivity (MCS) in Australia was 6.5%. No mention is made about the role of exposure to metals. Exposure to metallic elements has been associated with MCS. Metals are a well-known primary risk factor for idiopathic environmental intolerance. It is important that the medical approach designed to reduce the risk factors for MCS includes preventive strategies of metal exposure. Keywords: Adults, Frequency, Hyperosmia, Idiopathic environmental intolerance, Metal allergens, Metallic elements, Metals, Metals toxicity, Toxicant
Re: Nickel chromium and iron levels in the saliva of patients with simulated fixed orthodontic appliances
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Compressive imaging and deep learning based image reconstruction methods in the "SURPRISE" EU project
No full textThe Horizon 2020-funded SURPRISE project targets the development and demonstration of a geostationary compressive optical imaging instrument in the visible, NIR and MIR spectral bands. The instrument leverages the compressed sensing paradigm in several ways: first, the aim is to perform native data compression and encryption, thereby avoiding the need of dedicated hardware; second, the instrument targets super-resolution reconstruction, achieving a number of spatially resolved pixels that is larger than the number of detectors; third, the instrument is intended to have the capability to perform onboard analysis of the acquired scenes in order to detect events of interest.
This paper presents an overview of the SURPRISE instrument concept and the related demonstrator, and an in-depth analysis of the related reconstruction algorithms. Specifically, we focus on the super-resolution imaging approach, and leave the discussion of encryption and onboard analysis for subsequent papers. Indeed, while compressed sensing has traditionally employed sparsity-based methods to recover the images from a set of random projections, the performance of these methods has often been unsatisfactory. A new generation of deep learning methods has shown that it is possible to learn strong priors from training data, obtaining reconstruction accuracy far better than that exhibited by the conventional methods.
This paper reports on the performance and the features of a deep learning method selected for image reconstruction. The method is based on the ISTA-NET+ neural network, which has suitably generalized in order to match the optical design of the SURPRISE instrument and the related functional requirements. ISTA-NET+ mimics a few unrolled iterations of an iterative shrinkage method. Opposite to traditional methods, which employ a given fixed prior for reconstruction, e.g. sparsity or total variation, the deep learning approach learns the domain that is more suitable for image reconstruction from a training set.
We show results of image sensing and reconstruction in a variety of conditions, and discuss the impact of micro-mirror type, model noise, amount of super-resolution. Current results on Earth observation images indicate that deep learning methods largely outperform existing methods. We also discuss the ability of the deep learning model to reconstruct images whose type is different from those employed during the training stage. Moreover, while traditional methods are typically iterative and therefore computationally intensive, deep learning methods are much simpler and can be trained to be robust to noise. In the final paper we will also include results on simulated images having the same optical characteristics as those acquired via the demonstrator, which is currently in its advanced design stage
Sviluppo di un cambio doppia frizione per motoveicolo
No full textLa tesi, realizzata presso il DIMNP, ha avuto come obbiettivo lo studio dell’applicazione di una trasmissione con doppia frizione ad un motociclo; per lo studio è stato preso come riferimento la Moto Guzzi Stelvio 1200 4V NTX.
Nella prima parte sono state analizzate in maniera critica le principali trasmissioni automobilistiche e motociclistiche presenti in commercio. Successivamente, è stata sviluppata la configurazione di un cambio doppia frizione basandosi sul layout della Guzzi Stelvio, evidenziando le modifiche da apportare alla trasmissione originale.
Nella seconda parte della tesi sono stati progettati i principali componenti della trasmissione: le due frizioni, gli alberi primari della trasmissione, le ruote dentate del cambio. Infine è stato sviluppato il sistema di movimentazione delle ruote dentate della trasmissione necessario ad effettuare il cambio marcia e il circuito idraulico necessario per l’azionamento delle frizioni
Supporting Developers' Teamwork from within the IDE
No full textSoftware Computer TechnologyElectrical Engineering, Mathematics and Computer Scienc
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