Results 231 to 240 of about 144,594 (359)

Perioperative hemodynamic parameters monitored by three noninvasive technologies in children with congenital heart disease: A prospective study

open access: yesPediatric Discovery, EarlyView.
ROC curves illustrates the predictive value of parameters obtained from three methods in predicting any of the AEs. AEs, adverse events; FPR, false positive rate; TPR, true positive rate; 1 (LVEFmea line overlaps with LVEFmin line); 2 (SVRImea line overlaps with SVRImin line); 3 (SVRImea line, SVRImin line, and LVEFmea line overlap); 4 (SVRImea line ...
Xiaoyu Xiong   +4 more
wiley   +1 more source

Assessment of Double Outlet Left Ventricle in Pediatrics Using Transthoracic Echocardiography and Computed Tomographic Angiography

open access: yesPediatric Discovery, EarlyView.
The clinical manifestation of DOLV was atypical. TTE has a relatively high diagnostic accuracy for DOLV in pediatric, which is very valuable for its early detection. ABSTRACT Double outlet left ventricle (DOLV) is a rare congenital cardiac anomaly in which both great arteries originate entirely or predominantly from the morphologic left ventricle.
Xu Zhu   +6 more
wiley   +1 more source

Obstruction caused by suprasellar cisterna arachnoid cyst expansion after ventriculoperitoneal shunt in children with hydrocephalus

open access: yesPediatric Investigation, EarlyView.
This article focuses on four cases of hydrocephalus after ventriculoperitoneal (VP) shunt in our center from 2016 to 2021. Imaging follow‐up showed that the secondary suprasellar cisterna arachnoid cyst was enlarged and then formed obstructive hydrocephalus. The clinical symptoms were relieved after a suprasellar cisterna cyst stomy.
Dapeng Li, Wenping Ma, Ming Ge, Di Zhang
wiley   +1 more source

Candida Parapsilosis: a Rare Culprit of Shunt Infection in an Adult. [PDF]

open access: yesCase Rep Surg
Ikizoglu E   +5 more
europepmc   +1 more source

Physics‐Based Machine Learning Electroluminescence Models for Fast yet Accurate Solar Cell Characterization

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
Machine learning (ML) enables fast and reliable prediction of series resistance and dark saturation current maps from voltage‐dependent electroluminescence of silicon solar cells. Two ML algorithms, a multilayer perceptron (MLP) and a modified U‐NET (mU‐NET), are analyzed. They are compared to nonlinear least squares fitting to assess their performance.
Erell Laot   +3 more
wiley   +1 more source

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