Systematic attribution of heatwaves to the emissions of carbon majors.

Extreme event attribution assesses how climate change affected climate extremes, but typically focuses on single events. Furthermore, these attributions rarely quantify the extent to which anthropogenic actors have contributed to these events. Here we show that climate change made 213 historical heatwaves reported over 2000-2023 more likely and more intense, to which each of the 180 carbon majors (fossil fuel and cement producers) substantially contributed.

Tubulin hyperacetylation drives HMGB1 nuclear exit via the ROS-PARP1 axis leading to rotenone-induced G2/M Arrest.

Rotenone, a lipophilic pesticide, is strongly linked to dopaminergic neuronal loss primarily through mitochondrial complex I inhibition. Beyond its well-characterized neurotoxic effects, rotenone also triggers G2/M arrest in cells, but the molecular mechanisms linking this cell cycle perturbation to neurodegeneration remain unclear. Here, we identify HMGB1 as a key player in this process.

Eye bank pre-stripped versus surgeon-stripped graft for Descemet membrane endothelial keratoplasty: a systematic review and meta-analysis.

To summarize the evidence examining the outcomes of Descemet membrane endothelial keratoplasty (DMEK) using eye bank pre-stripped versus surgeon prepared grafts. Systematic review and meta-analysis. This study was conducted following the preferred reporting items for systematic reviews and meta-analyses consensus statement (PROSPERO ID: CRD42023457120).

The utility of artificial intelligence in ophthalmic clinical trials.

Purpose Of Review: The current article provides an overview of the utility of artificial intelligence approaches to aid in the design, recruitment, execution, and dissemination of ophthalmic clinical trials.

Recent Findings: Within the last decade, artificial intelligence has heralded a new age for ophthalmology, with novel applications habitually appearing within the literature. Though clinical trials are considered the gold standard for driving evidence-based practice, remarkably few studies have examined the potential for machine learning to augment the clinical trial pipeline.

Poroelastic modeling of magnetic nanoparticle hyperthermia: Effects of infusion-induced tissue deformation on drug distribution and thermal damage.

This study presents a comprehensive poroelastic modeling approach to investigate the effects of infusion-induced tissue deformation on drug distribution and thermal damage during magnetic nanoparticle (MNP) hyperthermia treatment. A three-dimensional computational model of a breast tumor nodule was developed, which incorporated interstitial fluid flow, nanoparticle transport, and heat transfer. The model accounted for the elastic deformation of the soft tissue caused by the infusion pressure at the needle tip.