Publications by authors named "C B Pugh"
The prevalence of centenarians, people who lived 100 years and longer, is steadily growing in the last decades. This exceptional longevity is based on multifaceted processes influenced by a combination of intrinsic and extrinsic factors such as sex, (epi-)genetic factors, gut microbiota, cellular metabolism, exposure to oxidative stress, immune status, cardiovascular risk factors, environmental factors, and lifestyle behavior. Epidemiologically, the incidence rate of cardiovascular diseases is reduced in healthy centenarians along with late onset of age-related diseases compared with the general aged population.
View Article and Find Full Text PDFBackground: There are limited studies on educational outcomes of children born with esophageal atresia (EA) with or without tracheoesophageal fistula (TEF). We aimed to compare 3rd to 5th grade academic proficiency among children born with EA/TEF versus unaffected children.
Methods: Children born with EA/TEF (2000-2005) were identified from the Arkansas Reproductive Health Monitoring System.
Article Synopsis
- - Cystic fibrosis (CF) is a persistent disease linked to the dysfunctional CFTR protein, which influences immune responses; however, the role of the epithelial sodium channel (ENaC) in CF is not fully understood.
- - Research found that ENaC is overexpressed in immune cells from CF patients, which contributes to impaired immune functions such as phagocytosis and inflammatory response.
- - Treatment with Amiloride, an ENaC inhibitor, improved the function of CF macrophages by normalizing oxidative stress production and reducing inflammation, suggesting that targeting ENaC could be beneficial for CF therapies.
Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors. This work presents two contributions related to action segmentation on kinematic data. Firstly, we introduce two versions of Multi-Stage Temporal Convolutional Recurrent Networks (MS-TCRNet), specifically designed for kinematic data.
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