Clinical practice of one-lung ventilation in mainland China: a nationwide questionnaire survey.

Background: Limited information is available regarding the application of lung-protective ventilation strategies during one-lung ventilation (OLV) across mainland China. A nationwide questionnaire survey was conducted to investigate this issue in current clinical practice.

Methods: The survey covered various aspects, including respondent demographics, the establishment and maintenance of OLV, intraoperative monitoring standards, and complications associated with OLV.

Unveiling neural activity changes in mild cognitive impairment using microstate analysis and machine learning.

Background: Mild cognitive impairment (MCI) is recognized as a condition that may increase the risk of developing Alzheimer's disease (AD). Understanding the neural correlates of MCI is crucial for elucidating its pathophysiology and developing effective interventions. Electroencephalogram (EEG) microstates, reflecting brain activity changes, have shown promise in MCI research.

WISP1 Inhibits Hepatocellular Carcinoma Cell Proliferation by Promoting CyclinD1 Ubiquitination and Downregulating its Expression.

Hepatocellular carcinoma (HCC), a leading cause of cancer-related deaths, is often linked to dysregulated cell cycle proteins. This study focuses on the role of WISP1 in modulating Cyclin D1, a key cell cycle regulator, in HCC. The study used HCCLM3 and Hep3B cells to assess the expression of Cyclin D1 and cell proliferation following the treatment of WISP1.

Ensemble learning-based predictor for driver synonymous mutation with sequence representation.

Synonymous mutations, once considered neutral, are now understood to have significant implications for a variety of diseases, particularly cancer. It is indispensable to identify these driver synonymous mutations in human cancers, yet current methods are constrained by data limitations. In this study, we initially investigate the impact of sequence-based features, including DNA shape, physicochemical properties and one-hot encoding of nucleotides, and deep learning-derived features from pre-trained chemical molecule language models based on BERT.

Systematic Review and Meta-Analysis: Risk Factors of Violence During First-Episode Psychosis.

Most people with a psychotic illness will never be violent; however, it is widely known that violence is more prevalent in this group compared to the general community, particularly during first-episode psychosis (FEP). Despite this, there is limited research into what contributes to this increased risk during FEP. The present systematic review aimed to identify whether certain risk factors are differentially associated with severity and timing of violence perpetration during FEP.