Search

Your search keyword '"Villa, Martina"' showing total 13 results
Start Over Author "Villa, Martina"
13 results on '"Villa, Martina"'

3. Exposure to air pollution as an environmental determinant of how Sjögren's disease is expressed at diagnosis

Author

Brito-Zerón, Pilar, primary, Flores-Chávez, Alejandra, additional, Ng, Wan-Fai, additional, Fanny Horváth, Ildiko, additional, Rasmussen, Astrid, additional, Priori, Roberta, additional, Baldini, Chiara, additional, Armagan, Berkan, additional, Özkiziltaş, Burcugül, additional, Praprotnik, Sonja, additional, Suzuki, Yasuori, additional, Quartuccio, Luca, additional, Hernandez-Molina, Gabriela, additional, Abacar, Kerem, additional, Bartoloni, Elena, additional, Rischmueller, Maureen, additional, Reis-de Oliveira, Fabiola, additional, Fernandes Moça Trevisani, Virginia, additional, Jurcut, Ciprian, additional, Fugmann, Cecilia, additional, Carubbi, Francesco, additional, Hofauer, Benedikt, additional, Valim, Valeria, additional, Pasoto, Sandra G., additional, Retamozo, Soledad, additional, Atzeni, Fabiola, additional, Fonseca-Aizpuru, Eva, additional, López-Dupla, Miguel, additional, Giacomelli, Roberto, additional, Nakamura, Hideki, additional, Akasbi, Miriam, additional, Thompson, Kyle, additional, Szántó, Antónia, additional, Farris, A. Darise, additional, Villa, Martina, additional, Bombardieri, Stefano, additional, Kilic, Levent, additional, Tufan, Abdurrahman, additional, Perdan Pirkmajer, Katja, additional, Fujisawa, Yuhei, additional, de Vita, Salvatore, additional, Inanc, Nevsun, additional, and Ramos-Casals, Manuel, additional

Published
2023
Full Text
View/download PDF

7. Barotrauma in mechanically ventilated patients with Coronavirus disease 2019: a survey of 38 hospitals in Lombardy, Italy

Author

PROTTI, Alessandro, primary, GRECO, Massimiliano, additional, FILIPPINI, Matteo, additional, VILARDO, Anna M., additional, LANGER, Thomas, additional, VILLA, Martina, additional, FRUTOS-VIVAR, Fernando, additional, SANTINI, Alessandro, additional, CARUSO, Pier F., additional, SPANO, Sofia, additional, ANZUETO, Antonio, additional, CITERIO, Giuseppe, additional, BELLANI, Giacomo, additional, FOTI, Giuseppe, additional, FUMAGALLI, Roberto, additional, PESENTI, Antonio, additional, GRASSELLI, Giacomo, additional, and CECCONI, Maurizio, additional

Published
2021
Full Text
View/download PDF

9. Widespread effects of dMRI data quality on diffusion measures in children.

Author

Koirala, Nabin, Kleinman, Daniel, Perdue, Meaghan V., Su, Xing, Villa, Martina, Grigorenko, Elena L., and Landi, Nicole

Subjects
DIFFUSION magnetic resonance imaging, DATA quality
Abstract

Diffusion magnetic resonance imaging (dMRI) datasets are susceptible to several confounding factors related to data quality, which is especially true in studies involving young children. With the recent trend of large‐scale multicenter studies, it is more critical to be aware of the varied impacts of data quality on measures of interest. Here, we investigated data quality and its effect on different diffusion measures using a multicenter dataset. dMRI data were obtained from 691 participants (5–17 years of age) from six different centers. Six data quality metrics—contrast to noise ratio, outlier slices, and motion (absolute, relative, translation, and rotational)—and four diffusion measures—fractional anisotropy, mean diffusivity, tract density, and length—were computed for each of 36 major fiber tracts for all participants. The results indicated that four out of six data quality metrics (all except absolute and translation motion) differed significantly between centers. Associations between these data quality metrics and the diffusion measures differed significantly across the tracts and centers. Moreover, these effects remained significant after applying recently proposed harmonization algorithms that purport to remove unwanted between‐site variation in diffusion data. These results demonstrate the widespread impact of dMRI data quality on diffusion measures. These tracts and measures have been routinely associated with individual differences as well as group‐wide differences between neurotypical populations and individuals with neurological or developmental disorders. Accordingly, for analyses of individual differences or group effects (particularly in multisite dataset), we encourage the inclusion of data quality metrics in dMRI analysis. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

11. Studio e simulazione di circuiti a pompa di carica in tecnologia CMOS

Author

Villa, Martina, thesis supervisor: Romani, Aldo, Villa, Martina, and thesis supervisor: Romani, Aldo

Abstract

L’oggetto della presente tesi consiste nell’analizzare diverse topologie di Charge Pump (pompe di carica), ovvero dei convertitori DC–DC utilizzati per innalzare i livelli di tensione senza l’utilizzo di induttori. Questi circuiti si compongono di condensatori e di Charge Transfer Switch (CTS), ovvero di blocchi che impongono alla carica di fluire unicamente dall’ingresso verso l’uscita. Le varie architetture della Pompa di Carica si distinguono fra loro in base all’implementazione del blocco CTS. Si procederà a considerare le realizzazioni della Charge Pump di Dickson con i diodi, con i transistor nMOS e con i pMOS, le realizzazioni bootstrap con tecniche di gate biasing e di body biasing e la configurazione Cross-Coupled. Il funzionamento dei circuiti delle suddette topologie verrà analizzato tramite simulazioni circuitali.

12. Studio e simulazione di circuiti a pompa di carica in tecnologia CMOS

Author

Villa, Martina, thesis supervisor: Romani, Aldo, Villa, Martina, and thesis supervisor: Romani, Aldo

Abstract

L’oggetto della presente tesi consiste nell’analizzare diverse topologie di Charge Pump (pompe di carica), ovvero dei convertitori DC–DC utilizzati per innalzare i livelli di tensione senza l’utilizzo di induttori. Questi circuiti si compongono di condensatori e di Charge Transfer Switch (CTS), ovvero di blocchi che impongono alla carica di fluire unicamente dall’ingresso verso l’uscita. Le varie architetture della Pompa di Carica si distinguono fra loro in base all’implementazione del blocco CTS. Si procederà a considerare le realizzazioni della Charge Pump di Dickson con i diodi, con i transistor nMOS e con i pMOS, le realizzazioni bootstrap con tecniche di gate biasing e di body biasing e la configurazione Cross-Coupled. Il funzionamento dei circuiti delle suddette topologie verrà analizzato tramite simulazioni circuitali.

Catalog

Books, media, physical & digital resources
See catalog results