2D Nitrogen-Doped Graphene Materials for Noble Gas Separation.

Noble gases, notably xenon, play a pivotal role in diverse high-tech applications. However, manufacturing xenon is an inherently challenging task, due to its unique properties and trace abundance in the Earth's atmosphere. Consequently, there is a pressing need for the development of efficient methods for the separation of noble gases.

Predicting Phylogenetic Bootstrap Values via Machine Learning.

Estimating the statistical robustness of the inferred tree(s) constitutes an integral part of most phylogenetic analyses. Commonly, one computes and assigns a branch support value to each inner branch of the inferred phylogeny. The still most widely used method for calculating branch support on trees inferred under maximum likelihood (ML) is the Standard, nonparametric Felsenstein bootstrap support (SBS).

Development of a digital amplifier system for cut-open oocyte electrophysiology.

The cut-open oocyte Vaseline gap technique is a powerful electrophysiological method for the characterization of ion channels. However, traditional amplifiers for cut-open oocyte Vaseline gap are labor intensive and require significant user expertise. We introduce an innovative, open-source digital amplifier system with high-speed digitization and software-controlled electronics for computer-driven automation.

Tirzepatide as an innovative treatment strategy in a pre-clinical model of obesity-driven endometrial cancer.

Objective: Interventions that combat obesity and its associated metabolic perturbations may decrease incidence and improve outcomes of endometrial cancer (EC). Potential options for weight loss include pharmacotherapeutic interventions such as tirzepatide, a dual-acting glucagon-like peptide 1 (GLP-1) and gastric inhibitory polypeptide (GIP) receptor agonist. Given this, we explored the anti-obesity and anti-tumorigenic effects of tirzepatide in our pre-clinical mouse model of endometrioid EC.