Management of cardiac trauma and penetrating cardiac injuries with severe hemorrhagic shock: a 5-year experience.

Purpose: The diagnosis and management of cardiac trauma and penetrating cardiac injuries pose significant challenges in emergency settings due to the rapid onset of life-threatening complications. This paper presents a narrative review to better describe the etiology, presentation, and management of penetrating cardiac trauma, offering insights and experiences related to performing emergency surgery for such cases.

Methods: We compiled cases of traumatic cardiac rupture and penetrating cardiac injuries accompanied by severe hemorrhagic shock that necessitated emergency surgery.

Posterior corneal surface stability after femtosecond laser-assisted in situ keratomileusis in patients with myopia and myopic astigmatism.

Purpose: To evaluate the variation and stability of the posterior cornea surface parameters (posterior cornea curvature [PCC], posterior cornea astigmatism [PCA], and posterior cornea elevation [PCE]) after femtosecond laser-assisted in situ keratomileusis (LASIK) in patients with myopia and myopic astigmatism over a period of 6 months or longer.

Methods: This retrospective study comprised 284 right eyes. Patients aged 18 years or older with myopia up to -12.

Bioupgrading of the aqueous phase of pyrolysis oil from lignocellulosic biomass: a platform for renewable chemicals and fuels from the whole fraction of biomass.

Pyrolysis, a thermal decomposition without oxygen, is a promising technology for transportable liquids from whole fractions of lignocellulosic biomass. However, due to the hydrophilic products of pyrolysis, the liquid oils have undesirable physicochemical characteristics, thus requiring an additional upgrading process. Biological upgrading methods could address the drawbacks of pyrolysis by utilizing various hydrophilic compounds as carbon sources under mild conditions with low carbon footprints.

SIEVE: One-stop differential expression, variability, and skewness analyses using RNA-Seq data.

Motivation: RNA-Seq data analysis is commonly biased towards detecting differentially expressed genes and insufficiently conveys the complexity of gene expression changes between biological conditions. This bias arises because discrete models of RNA-Seq count data cannot fully characterize the mean, variance, and skewness of gene expression distribution using independent model parameters. A unified framework that simultaneously tests for differential expression, variability, and skewness is needed to realize the full potential of RNA-Seq data analysis in a systems biology context.