Integration of Circulating Tumor DNA and Metabolic Parameters on F-Fludeoxyglucose Positron Emission Tomography for Outcome Prediction in Unresectable Locally Advanced Non-Small Cell Lung Cancer.

This prospective study explores the prognostic value of circulating tumor DNA (ctDNA) and positron emission tomography/computed tomograpy (PET/CT) in unresectable locally advanced non-small cell lung cancer (LA-NSCLC) treated with definitive chemoradiotherapy (CRT). The discovery set includes 62 patients, with 62 baseline and 53 post-CRT plasma samples. PET/CT is performed at baseline, and 33 patients undergo mid-treatment scans after 40 Gy.

Biomineralization-Inspired Membranization Toward Structural Enhancement of Coacervate Community.

The design and assembly of protocell models that can mimic the features and functions of life present a significant research challenge with the potential for far-reaching impact. Inspired by the natural phenomenon of microbe-induced mineralization, a way is developed to induce the spontaneous formation of mineralized membrane on the surface of coacervate droplets utilizing Fe ions. In particular, the effect of Fe ions on the microstructure of droplets at the molecular level is dissected by combining theoretical and experimental approaches.

Insulin resistance-induced mitochondrial dysfunction and pyroptosis in trophoblasts: protective role of metformin.

Background: Gestational diabetes mellitus (GDM) affects up to 14% of pregnancies globally, with insulin resistance (IR) playing a critical but often underappreciated role in its pathogenesis. Yet the specific impact of insulin at IR levels on mitochondrial function and pyroptosis in first-trimester trophoblasts remains unclear. Metformin use in GDM pregnancies is rising, but its impact on placental mitochondrial function is uncertain.

Slippery liquid infused porous surface (SLIPS) condensers for high efficiency air gap membrane distillation.

To address growing water scarcity, we must improve the energy efficiency of thermal desalination technologies such as air gap membrane distillation. However, promising functional materials such as slippery liquid infused porous surfaces have not yet implemented for any desalination technology. Here, we fabricate and test slippery liquid infused porous surfaces (using Krytox 16,256 lubricant and CuO nanostructures) in an air gap membrane distillation apparatus.

Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks.

The rapid increase in carbon emissions from the logistics transportation industry has underscored the urgent need for low-carbon logistics solutions. Electric logistics vehicles (ELVs) are increasingly being considered as replacements for traditional fuel-powered vehicles to reduce emissions in urban logistics. However, ELVs are typically limited by their battery capacity and load constraints.