Results 91 to 100 of about 25,485 (163)

Valvoplastia aórtica por balão no recém-nascido [PDF]

, 1994
São apresentados dois casos de recém-nascidos com estenose aórtica severa, submetidos à valvoplastia com 12 e 32 dias de vida, respectivamente, com redução significativa da obstrução e melhora imediata do quadro clínico.
Beheregaray Filho, Luiz Alberto, Pellanda-Zimmer, Lucia, Velho, Flavio Jose Petersen, Zago, Alcides José   +3 more
core  

Permanent Pacing After Transcatheter Aortic Valve Implantation: Incidence, Predictors and Evolution of Left Ventricular Function

Arquivos Brasileiros de Cardiologia, 2017
Background: Transcatheter aortic valve implantation (TAVI) is a well-established procedure; however, atrioventricular block requiring permanent pacemaker implantation (PPI) is a common complication. Objectives: To determine the incidence, predictors and
Cláudio Monteiro, Andres Di Leoni Ferrari, Paulo Ricardo Avancini Caramori, Luiz Antonio Ferreira Carvalho, Dimytri Alexandre de Alvim Siqueira, Luiz Eduardo Koenig São Thiago, Marco Perin, Valter C. de Lima, Enio Guérios, Fabio Sandoli De Brito Junior   +9 more
doaj   +1 more source

Clinical Profile and Outcomes in 30 Days of Patients with Bicuspid Aortic Valve Undergoing Aortic Valve and/or Aortic Surgery. [PDF]

Arq Bras Cardiol, 2022
Evora PRB.
europepmc   +1 more source

We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline [PDF]

arXiv
There has been abundant work in unsupervised domain adaptation for semantic segmentation (DAS) seeking to adapt a model trained on images from a labeled source domain to an unlabeled target domain. While the vast majority of prior work has studied this as a frame-level Image-DAS problem, a few Video-DAS works have sought to additionally leverage the ...
arxiv  

Decision Boundary Optimization-Informed Domain Adaptation [PDF]

arXiv
Maximum Mean Discrepancy (MMD) is widely used in a number of domain adaptation (DA) methods and shows its effectiveness in aligning data distributions across domains. However, in previous DA research, MMD-based DA methods focus mostly on distribution alignment, and ignore to optimize the decision boundary for classification-aware DA, thereby falling ...
arxiv  

Tolerância ao esforço em ratos com estenose aórtica e disfunção ventricular diastólica e/ou sistólica

Arquivos Brasileiros de Cardiologia, 2013
FUNDAMENTO: A Tolerância ao Esforço Físico (TEF) é uma medida de condicionamento cardiorrespiratório. A capacidade aeróbica é reduzida na Insuficiência Cardíaca (IC), embora não haja dados disponíveis sobre esse parâmetro em animais com disfunção ...
Olga Castro Mendes, Mario Mateus Sugizaki, Dijon Salomé Campos, Ricardo Luiz Damatto, André Soares Leopoldo, Ana Paula Lima-Leopoldo, Vilmar Baldissera, Carlos Roberto Padovani, Katashi Okoshi, Antonio Carlos Cicogna   +9 more
doaj  

Low-energy insulating reconstructions of Si(111)-7x7 surface with and without stacking fault discovered by graph theory [PDF]

arXiv
The 7x7 reconstruction of Si(111) surface is one of the most fascinating configuration in nature, whose STM image has been well-understood by the famous dimer-adatom-stacking-fault model (DAS). However, the electronic property of the DAS model is always confirmed to be metallic by first-principles calculations, while some experiments detected ...
arxiv  

Topics in Finite Temperature Field Theory [PDF]

arXiv, 2000
We discuss a few selected topics in finite temperature field theory.
arxiv  

A embolia cerebral cardiogênica nas doenças cérebro-vasculares isquêmicas : estudo clínico, ecocardiográfico e tomográfico [PDF]

, 1988
Orientador: Cláudio L. Pereira Da CunhaCo-Orientador: Paulo Rogério M. BittencourtDissertaçao (mestrado) - Universidade Federal do Paraná, Setor de Ciênicias da Saúde, Programa de Pós-Graduação em em CardiologiaResumo: Foram estudados 100 pacientes ...
Précroma, Dalton Bertolim
core   +1 more source

Robust discriminant analysis [PDF]

arXiv
Discriminant analysis (DA) is one of the most popular methods for classification due to its conceptual simplicity, low computational cost, and often solid performance. In its standard form, DA uses the arithmetic mean and sample covariance matrix to estimate the center and scatter of each class. We discuss and illustrate how this makes standard DA very
arxiv