Factors associated with burnout among frontline nurses in the post-COVID-19 epidemic era: a multicenter cross-sectional study.

Background: The COVID-19 pandemic has significantly increased the risk of burnout among frontline nurses. However, the prevalence of burnout and its associated factors in the post-pandemic era remain unclear. This research aims to investigate burnout prevalence among frontline nurses in the post-pandemic period and pinpoint associated determinants in China.

Integrative analysis of rs717620 polymorphism in therapeutic response to anti-seizure medications.

Background: Previous studies have shown that the rs717620 polymorphism in , the gene encoding multidrug resistance protein 2, influences the therapeutic response to anti-seizure medications (ASMs). However, this result is not consistent, and the mechanism by which rs717620 influences ASM responses is unclear.

Aims: The present study evaluated the association between rs717620 genotype and ASM efficacy, and examined the potential mechanisms.

Anxiety prevalence and associated factors among frontline nurses following the COVID-19 pandemic: a large-scale cross-sectional study.

Introduction: Nurses are more likely to experience anxiety following the coronavirus 2019 epidemic. Anxiety could compromise nurses' work efficiency and diminish their professional commitment. This study aims to investigate nurses' anxiety prevalence and related factors following the pandemic in multiple hospitals across China.

[Study on an Algorithm for Near Infrared Singular Sample Identification Based on Strong Influence Degree].

Correcting sample selection and elimination of singular sample is very important for the quantitative and qualitative modeling of near infrared spectroscopy. However, methods for identification of singular sample available are generally based on data center estimates which require an experience decision threshold, this largely limit its recognition accuracy and practicability. Aiming at the low accuracy of the existing methods of singular sample recognition problem, this paper improves the existing metric-Leverage value and presents a new algorithm for near infrared singular sample identification based on strong influence degree.

A Sensitive and Selective Fluorescent Coumarin-Based Probe for Detection of Hypochlorite ion and its Application to Cellular Imaging.

Selective, sensitive fluorescent probes for ClO(-) are desirable due to the importance of ClO(-) in biological processes. Herein, a readily available turn-off fluorescent probe for ClO(-) is reported, which displays highly selectivity and sensitivity over other common anions and reactive oxygen/nitrogen. Moreover, it is able to detect ClO(-) in Ramos cells via cellular imaging.