Efficient Orange Light-Emitting Diodes from Nontoxic Organic-Inorganic Hybrid Copper Halides Enabled by Nonionic Surfactant Chemisorption.

Ternary copper halides with an eco-friendly property have emerged as attractive candidates to replace toxic lead-containing perovskites for light-emitting diodes (LEDs), yet achieving long-wavelength electroluminescence remains unexplored. Herein, we report the first realization of orange-emitting LEDs (595 nm) based on nontoxic organic-inorganic PEACuI (PEA = β-phenylethylamine) films enabled by a nonionic surfactant poly(propylene glycol) bis(2-aminopropyl ether) (APPG) chemisorption. Experimental and theoretical analyses rationalize that the APPG additive has strong chemisorption with the Cu-I framework within the grain boundaries of PEACuI films, which not only improves the film's morphology but also passivates the iodine vacancy defects.

HC-A solution limb perfusion alleviates liver damage induced by limb ischemia-reperfusion injury in pigs.

Background: The aim of the study was to explore a feasible method for alleviating limb ischemia-reperfusion injury (LI/RI) through the use of a high-concentration citrate solution (HC-A solution) for limb perfusion (LP).

Methods: Eighteen pigs were divided into three groups: the Sham group, LI/RI group, and HCA group. The Sham group underwent exposure of the iliac artery and vein.

MMP2 regulates proliferation and differentiation in chicken primary myoblasts, and RNA-seq screens for key genes.

The growth and development of chicken skeletal muscle directly affects chicken meat production, which is very important for broiler industry. Matrix metallopeptidase 2 (MMP2) exists in skeletal muscle. However, the underlying regulating of MMP2 remain unknown.

Machine learning prediction of in-hospital mortality and external validation in patients with cardiogenic shock: the RESCUE score.

Introduction And Objectives: Despite advances in mechanical circulatory support, mortality rates in cardiogenic shock (CS) remain high. A reliable risk stratification system could serve as a valuable guide in the clinical management of patients with CS. This study aimed to develop and externally validate a risk prediction model for in-hospital mortality in CS patients using machine learning (ML) algorithms.

Polydopamine nanoparticles loaded with sodium ferulate for targeted therapy of myocardial infarction in endothelial cells.

Myocardial infarction (MI) is a leading cause of heart failure and death in cardiovascular diseases. Most drug trials currently fail due to inadequate local drug activity and side effects. In this study, we developed a novel polydopamine (PDA) nano delivery system that carries sodium ferulate (SF) and is modified with RGD peptides (SF/RGD-PDA NPs) for precise targeted delivery.