Abstract This resource is a pediatric simulation scenario featuring a seizing infant in the postanesthesia care unit (PACU).In this scenario, the candidate is called to see a 6-month-old, 15-pound male infant who has just arrived in the PACU.The infant has a prolonged seizure shortly after the session begins.The candidate must deal with initial sei
Activated networking of platelet activating factor receptor and FAK/STAT1 induces malignant potential in BRCA1-mutant at-risk ovarian epithelium
Abstract Objectives It is essential to understand the molecular basis of ovarian cancer etiology and tumor development to provide more effective preventive and therapeutic approaches to reduce mortality.Particularly, the molecular targets and pathways involved in early malignant transformation are still not clear.Pro-inflammatory lipids and pathway
The effect of temperature and strain rate on elongation to failure in nanostructured Al-0.2wt% Zr alloy fabricated by ARB process
A nano/ultra-fine grain Al-0.2wt% precis vodka Zr alloy was produced by accumulated roll bonding (ARB) processafter 10 cycles.The fraction of high angle grain boundaries increased from 8% to 65.4% during 10passes during ARB process.This alloy was subjected to tensile test at different temperatures (523,573and 623 K) and strain rates (0.1 and 0.01 s
Infantile Feeding Difficulties
Background.Gastric volvulus refers to a torsion of all or part of the stomach that may cause an obstruction of the foregut.The clinical symptoms of gastric volvulus range from asymptomatic to life-threatening and thus must be rapidly diagnosed.However, the presenting symptoms of gastric volvulus vary widely, which may cause diagnosis to be delayed
MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation
Abstract The UNet architecture, based on convolutional neural networks (CNN), has demonstrated its remarkable performance in medical image analysis.However, it faces challenges in capturing long-range dependencies due to the limited receptive fields and inherent bias of convolutional operations.Recently, numerous transformer-based techniques have b