Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Claudio Domenico"'
Autor:
Ronaldo Lima, André Luiz Ferreira Bezerra, Marianna Daibes, Claudio Domenico, Andrea De Lorenzo
Publikováno v:
Arquivos Brasileiros de Cardiologia, Vol 121, Iss 6 (2024)
Resumo Fundamento: Gama-câmaras com detectores de telureto-cádmio-zinco (CZT) permitiram a quantificação da reserva de fluxo miocárdico (RFM), podendo aumentar a acurácia da cintilografia miocárdica de perfusão (CMP) para detectar a causa do
Externí odkaz:
https://doaj.org/article/4a24c2dc11594c12bf81413eda74196e
Autor:
Rosane Kupfer, Manuella Rangel Larrúbia, Isabela Bussade, Joana Rodrigues Dantas Pereira, Giovanna A. Balarini Lima, Marcio Antonio Epifanio, Claudio Domenico Sahione Schettino, Denise Prado Momesso
Publikováno v:
Archives of Endocrinology and Metabolism, Vol 61, Iss 2, Pp 115-121 (2017)
ABSTRACT Objective This study aimed to evaluate the occurrence and clinical predictors of subclinical atherosclerosis in asymptomatic, young adult women with type 1 DM. Subjects and methods The study included 45 women with type 1 diabetes mellitus (D
Externí odkaz:
https://doaj.org/article/d3fc6a35685642e881573a6acb8ab499
Autor:
Luciano Herman Juaçaba Belem, Antonio Carlos Santos Nogueira, Claudio Domenico Schettino, Marcio Vinicius Lins Barros, Monica Luiza de Alcantara, Paulo Cesar de Carvalho Studart, Paula Pimentel de Araújo, Salomon Israel do Amaral, Simone Barretto, Jorge Ilha Guimarães
Publikováno v:
Arquivos Brasileiros de Cardiologia, Vol 82, Pp 1-14 (2004)
Externí odkaz:
https://doaj.org/article/1fbbba06e93a4be380a647724835c66a
Akademický článek
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Autor:
Momesso, Denise Prado, Bussade, Isabela, Epifanio, Marcio Antonio, Schettino, Claudio Domenico Sahione, Russo, Luis Augusto Tavares, Kupfer, Rosane
Publikováno v:
In Diabetes Research and Clinical Practice 2011 91(1):47-53
Autor:
Joana Rodrigues Dantas Pereira, Isabela Bussade, Marcio Antonio Epifanio, Claudio Domenico Sahione Schettino, Manuella Rangel Larrúbia, Rosane Kupfer, Denise Prado Momesso, Giovanna A. Balarini Lima
Publikováno v:
Archives of Endocrinology and Metabolism, Vol 61, Iss 2, Pp 115-121 (2017)
Archives of Endocrinology and Metabolism, Volume: 61, Issue: 2, Pages: 115-121, Published: 16 FEB 2017
Archives of Endocrinology and Metabolism v.61 n.2 2017
Arquivos de Endocrinologia e Metabolismo
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron:SBEM
Archives of Endocrinology and Metabolism, Volume: 61, Issue: 2, Pages: 115-121, Published: 16 FEB 2017
Archives of Endocrinology and Metabolism v.61 n.2 2017
Arquivos de Endocrinologia e Metabolismo
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron:SBEM
Objective This study aimed to evaluate the occurrence and clinical predictors of subclinical atherosclerosis in asymptomatic, young adult women with type 1 DM. Subjects and methods The study included 45 women with type 1 diabetes mellitus (DM) (aged
Autor:
Maurizio Repetto, Luca Giaccone, Claudio Domenico Cavallero, Michele Tartaglia, Fabio Freschi, Aldo Canova
Publikováno v:
IEEE Industry Applications Magazine. 15:62-65
This paper presents the operational planning of an integrated trigenerative system.The installation of a CHCP plant depends on the financial investments. This work shows an optimization procedure to foresee a management of the system aimed to increas
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783319239811
EANN
EANN
A desirable feature in smart cameras is the ability to autonomously detect any tampering event/attack that would prevent a clear view over the monitored scene. No matter whether tampering is due to atmospheric phenomena (e.g., few rain drops over the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9268e9bca26a8bb79f0ff6b4e8ddf0a
http://hdl.handle.net/11311/979054
http://hdl.handle.net/11311/979054
Akademický článek
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Publikováno v:
SPIE Proceedings.
In this paper, we propose a low complexity smile detection technique, able to detect smiles in a variety of light conditions, face positions, image resolutions. The proposed approach firstly detects the faces in the image, then applies almost cost-fr