Outcomes of the Paul Glaucoma Implant in Refractory Secondary Glaucoma.

Purpose: To evaluate the efficacy and safety of the Paul Glaucoma Implant (PGI) surgery in patients with secondary glaucomas.

Patients And Methods: Retrospective chart review of adult patients with medically recalcitrant secondary glaucoma who underwent PGI implantation at a single tertiary center between August 2022 and June 2023. The primary outcome measure was surgical success.

Enhanced simultaneous voltammetric detection of lead, copper, and mercury using a MIL-101(Cr)-(COOH)@MWCNTs modified glassy carbon electrode.

Background: Electrochemical methods, particularly those utilizing sensors, offer distinct advantages over classical analytical methods. They are cost-effective, compatible with mass fabrication, suitable for remote sensing, and can be designed as handheld analyzers. In this context, MIL-101(Cr)-(COOH)₂@MWCNTs was utilized for the first time as a modifier for GCE for the sensitive voltammetric detection of Pb(II), Cu(II), and Hg(II).

A review of click chemistry in the synthesis of organophosphorus triazoles and their biological activities.

Organophosphorus compounds, characterized by the incorporation of phosphorus into organic molecules, play a critical role in various fields such as medicine, agriculture, and industry. Their unique electronic properties and versatility make them essential in developing therapeutic agents, pesticides, and materials. One prominent class of organophosphorus compounds is organophosphorus heterocycles, which combine the benefits of both phosphorus and cyclic structures.

Impact of trauma center designation level on survival in trauma during pregnancy: Observational study across US trauma centers.

Background: Trauma is the leading non obstetric cause of death in pregnant women. Pregnancy above 20 weeks falls under special considerations group in the Center for Disease Control and Prevention (CDC) field triage criteria. Trauma centers' designation level in the United States is based on available resources for care.

Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis.

The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research on using Tiny Machine Learning (Tiny ML) for continuous vocalization monitoring in poultry.