857 resultados para Secret sharing schemes


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Sviluppo di un modello di ottimizzazione per lo scheduling dei veicoli elettrici in car sharing dell'Università di Bologna.

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Questa tesi si concentra sulle traduzioni italiane del classico in lingua inglese The Secret Garden (1911) di Frances Hodgson Burnett, con particolare attenzione all'uso della lingua e all'evoluzione della prassi traduttiva. Nella prima parte di questa tesi ho approfondito temi di natura teorica, quali la sfuggente e complessa definizione di letteratura per l'infanzia, la sua duplice appartenenza al sistema letterario e a quello pedagogico, e le peculiarità della sua traduzione. Inoltre ho presentato un excursus sulla storia di questo genere letterario, con particolare attenzione alla scena italiana e all'opera di propagazione della lingua portata avanti dai libri per ragazzi. Tali basi teoriche sono state necessarie allo scopo di inquadrare il romanzo in una cornice definita e utile in riferimento all'analisi e alla comparazione delle sue traduzioni. Il corpus delle traduzioni scelte consiste nei lavori di: Maria Ettlinger Fano (1921), Angela Restelli Fondelli (1956), F. Ghidoni (1973), Giorgio van Straten (1992) e Beatrice Masini (2013). Di ciascuna opera ho dato una descrizione generale, per poi concentrarmi sugli snodi traduttivi principali: da un lato i problemi di mediazione culturale come l'onomastica, i cibi, le lingue non standard nel testo originale, la religione e così via; dall'altro le soluzioni linguistiche adottate. Al fine di presentare e comparare questi parametri, ho portato a supporto i passaggi delle diverse traduzioni significativi in tal senso. Ho concluso con alcune considerazioni finali sull'evoluzione delle traduzioni italiane di The Secret Garden, viste attraverso l'ottica del rapporto fra adulti (traduttore, editore, educatori, genitori...) e lettore bambino.

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To determine the potential benefit of combined respiratory-cardiac triggering for diffusion-weighted imaging (DWI) of kidneys compared to respiratory triggering alone (RT).

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Self-monitoring of blood glucose (SMBG) in type 2 diabetes has increasingly been shown to display beneficial effects on glycemic control. SMBG is not only associated with a reduction of hemoglobin A1c but has also been demonstrated to increase patients' awareness of the disease. SMBG has also the potential to visualize and predict hypoglycemic episodes. International guidelines by the International Diabetes Federation, the European Society of Cardiology, and the European Association for the Study of Diabetes and also the International Society for Pediatric and Adolescent Diabetes emphasize that SMBG is an integral part of self-management. More recently, two European consensus documents have been published to give recommendations for frequency and timing of SMBG also for various clinical scenarios. Recently, a European expert panel was held to further facilitate and enhance standardized approaches to SMBG. The aim was to present simple, clinically meaningful, and standardized SMBG strategies for type 2 diabetes. The panel recommended a less intensive and an intensive scheme for SMBG across the type 2 diabetes continuum. The length and frequency of SMBG performance depend on the clinical circumstances and the quality of glycemic control. The expert panel also recommended further evaluation of various schemes for SMBG in type 2 diabetes in clinical studies.

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Data gathering, either for event recognition or for monitoring applications is the primary intention for sensor network deployments. In many cases, data is acquired periodically and autonomously, and simply logged onto secondary storage (e.g. flash memory) either for delayed offline analysis or for on demand burst transfer. Moreover, operational data such as connectivity information, node and network state is typically kept as well. Naturally, measurement and/or connectivity logging comes at a cost. Space for doing so is limited. Finding a good representative model for the data and providing clever coding of information, thus data compression, may be a means to use the available space to its best. In this paper, we explore the design space for data compression for wireless sensor and mesh networks by profiling common, publicly available algorithms. Several goals such as a low overhead in terms of utilized memory and compression time as well as a decent compression ratio have to be well balanced in order to find a simple, yet effective compression scheme.

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Shared Decision Making (SDM) is widely accepted as the preferred method for reaching treatment decisions in the oncology setting including those about clinical trial participation: however, there is some disagreement between researchers over the components of SDM. Specific standardized coding systems are needed to help overcome this difficulty.

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To assess the relative impact of cognitive and emotional aspects of shared decision making (SDM) on patient outcomes.