End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction.

Powder X-ray diffraction (PXRD) is a prevalent technique in materials characterization. While the analysis of PXRD often requires extensive human manual intervention, and most automated method only achieved at coarse-grained level. The more difficult and important task of fine-grained crystal structure prediction from PXRD remains unaddressed.

Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer.

This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.

Gastrointestinal lesions of eosinophilic granulomatosis with polyangiitis: a prediction model and clinical patterns.

Objective: Severe gastrointestinal lesions are associated with a poor prognosis in eosinophilic granulomatosis with polyangiitis (EGPA). The goal of this study was to develop an effective predictive model for gastrointestinal lesions and to examine clinical patterns, associated factors, treatment, and outcomes of gastrointestinal lesions in EGPA.

Methods: We retrospectively enrolled 165 EGPA patients.

Exposure to tobacco advertisements or promotions and smoking susceptibility among adolescents in China from 2013-14 to 2021: findings from the China National Youth Tobacco Survey.

Background: Tobacco advertisements or promotions (TAPs) can increase smoking susceptibility, especially among adolescents.China has made great progress in reducing TAPs, but has not yet achieved a total ban.This study estimated exposure to TAPs and smoking susceptibility and their changes from 2013-14 to 2021 among Chinese adolescents and examined their association.

Cordycepin affects Streptococcus mutans biofilm and interferes with its metabolism.

Background: Streptococcus mutans (S. mutans) contributes to caries. The biofilm formed by S.