Flexible X-Ray Detector for Cumulative Dose Monitoring Through Reversible Photochromism and Luminescence Modulation.

This study presents a multi-mode X-ray detection and imaging strategy by integrating photochromism, photoluminescence, and radioluminescence into Tb-doped CaAlSiO. CaAlSiO: Tb exhibits stable radioluminescence, oxygen vacancy-related photochromism, and photoluminescence modulation, all of which showed a linear relationship with X-ray exposure. This multi-mode response enables high-quality imaging and detection in both bright and dark conditions, facilitating time-dependent cumulative X-ray radiation dose assessments.

Integrating multi-omics data reveals neuroblastoma subtypes in the tumor microenvironment.

Neuroblastoma (NB) is a severe pediatric tumor originating from the developing sympathetic nervous system, characterized by diverse clinical outcomes, including spontaneous regression and aggressive metastasis. This variability suggests the existence of different NB subtypes, necessitating accurate classification for effective targeted treatment. In this study, we employed the similarity network fusion (SNF) algorithm and identified three NB subtypes, including mesenchymal-like (MES), MYCN-like (MYCN), and neurogenic-like (Neurogenic).

Design, development, and validation of a strand-specific RT-qPCR assay to differentiate replicating versus nonreplicating Rabies virus.

The Rabies virus, a single-strand RNA virus with a negative-sense polarity, is responsible for causing encephalitis and is a zoonotic disease. If not promptly treated after infection, it has a close to 100 % fatality rate. Similar to other negative-sense polarity single-strand RNA viruses, the Rabies virus requires the creation of a positive-strand RNA intermediate for replication.

Predicting acute lung injury in infants with congenital heart disease after cardiopulmonary bypass by gut microbiota.

Background: Acute lung injury (ALI) is a serious and common complication that occurs in children with congenital heart disease after cardiopulmonary bypass (CPB) surgery, leading to higher mortality rates and poorer prognosis. Currently, there is no reliable predictive strategy for CPB-associated lung injury (CPB-ALI) in infants. Certain characteristics of the gut microbiota could potentially serve as biomarkers for predicting the development of CPB-ALI.