[Research advance of solid-phase microextraction based on covalent organic framework materials].

Solid-phase microextraction (SPME) is a fast and simple sample preparation technique that enables the enrichment of analytes, and it is used in combination with other detection techniques to provide accurate and sensitive analytical methods. SPME is widely used in environmental monitoring, food safety, life analysis, biomedicine, and other applications. The extractive coating is the core of the SPME technique, and the properties of the extractive coating greatly influence extraction selectivity and efficiency, as well as the enrichment effect.

Advances in Research on Marine Natural Products for Modulating the Inflammatory Microenvironment.

In recent years, marine natural products (MNPs) have emerged as crucial sources of lead compounds for the advancement of anti-inflammatory drugs due to their abundant diversity, complexity, and distinctiveness. Inflammatory microenvironments (IMEs) are pervasive pathological features in the etiology of various chronic diseases, referring to the localized milieu or ecosystem where inflammatory responses occur, and they play a pivotal role in the onset and progression of inflammatory diseases. Uncontrolled IMEs can lead to dysregulation of inflammatory mediators within signaling pathways, thereby exerting detrimental effects on human health and even contributing to the development of inflammatory diseases such as cancer.

Prevalence of malnutrition among adult inpatients in China: a nationwide cross-sectional study.

Malnutrition substantially contributes to adverse clinical outcomes. However, no national survey has been conducted to characterize its epidemiology in hospital settings in China. We conducted the China Nutrition Fundamental Data 2020 project among a multistage stratified cluster sample of adult inpatients from 291 study sites across 30 provinces, autonomous regions and municipalities (except for Hong Kong, Macao, Taiwan Province, and the Xizang Autonomous Region, please see MATERIALS AND METHODS for details of the causes) of China to generate reliable data on the prevalence of malnutrition and explore the associated risk factors.

A prospective and comparative study on improving the diagnostic accuracy of early gastric cancer based on deep convolutional neural network real-time diagnosis system (with video).

Background: Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear whether deep convolutional neural network (DCNN) model could improve the endoscopists' diagnostic performance.

Methods: We established a DCNN-assisted system and found that accuracy of diagnosis is higher than endoscopists.

Neuroimaging stratification reveals the striatal vulnerability to stress as a risk for schizophrenia.

The striatum, a core brain structure relevant for schizophrenia, exhibits heterogeneous volumetric changes in this illness. Due to this heterogeneity, its role in the risk of developing schizophrenia following exposure to environmental stress remains poorly understood. Using the putamen (a subnucleus of the striatum) as an indicator for convergent genetic risk of schizophrenia, 63 unaffected first-degree relatives of patients (22.