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La prosa epistolare di Paolo Giovio, pur collocandosi nella dimensione semipubblica dei testi non pensati per l'approdo a stampa, risulta esteticamente apprezzabile, rivelando l'alto grado di attenzione riservata dall'autore all'elaborazione formale. Tale letterarietà si manifesta con forza nella fitta trama di riferimenti intertestuali, i quali fanno capo sia al bacino della classicità greco-latina, sia a quello della produzione letteraria moderna. Il contributo si propone dunque uno studio del sistema di rimandi alla tradizione letteraria in volgare, con particolare riferimento ai contemporanei Pietro Aretino e Ludovico Ariosto, che miri a riflettere sulle ragioni sottese a determinate scelte gioviane sul piano tanto storico-politico, quanto sociale, culturale e biografico.

The theoretically known degeneracy condition of the band-pass birdcage coil has rarely been exploited in transmit coil designs. We have created an eight-channel degenerate birdcage for the human limbs at 7 T, with dedicated Tx/Rx switches and a Butler matrix. The coil can be split into two half cylinders, as required for its application to patients with limited mobility. The design of the coil, the Butler matrix, and Tx/Rx switches relied on a combination of analytical, circuital, and numerical simulations. The birdcage theory was extended to the degenerate case. The theoretical and practical aspects of the design and construction of the coil are presented. The performance of the coil was demonstrated by simulations, workbench, and scanner measurements. The fully assembled prototype presents good performance in terms of efficiency, B 1 homogeneity, and signal-to-noise ratio, despite the asymmetry introduced by the splittable design. The first in vivo images of the knee are also shown. A novel RF coil design consisting of an eight-channel splittable degenerate birdcage has been developed, and it is now available for 7 T MRI applications of the human lower limbs, including high-resolution imaging of the knee cartilages and of the patellar trabecular structure.

The complexity and heterogeneity of Autism Spectrum Disorders (ASD) require the implementation of dedicated analysis techniques to obtain the maximum from the interrelationship among many variables that describe affected individuals, spanning from clinical phenotypic characterization and genetic profile to structural and functional brain images. The ARIANNA project has developed a collaborative interdisciplinary research environment that is easily accessible to the community of researchers working on ASD (https://arianna.pi.infn.it). The main goals of the project are: to analyze neuroimaging data acquired in multiple sites with multivariate approaches based on machine learning; to detect structural and functional brain characteristics that allow the distinguishing of individuals with ASD from control subjects; to identify neuroimaging-based criteria to stratify the population with ASD to support the future development of personalized treatments. Secure data handling and storage are guaranteed within the project, as well as the access to fast grid/cloud-based computational resources. This paper outlines the web-based architecture, the computing infrastructure and the collaborative analysis workflows at the basis of the ARIANNA interdisciplinary working environment. It also demonstrates the full functionality of the research platform. The availability of this innovative working environment for analyzing clinical and neuroimaging information of individuals with ASD is expected to support researchers in disentangling complex data thus facilitating their interpretation. [Display omitted] •ARIANNA is a web-based research environment (arianna.pi.infn.it).•It is devoted to the collection and analysis of multi-site neuroimaging and clinical data.•The final aim is to detect structural and functional brain changes related to Autism Spectrum Disorders.•Secure data handling and storage are guaranteed.•Fast grid/cloud-based computational resources are accessible.