A new machine learning method has been developed to accurately predict the compaction density of earth-rock dams. This method uses a portable falling weight deflectometer (PFWD) to measure the time…
In the pursuit of effective carbon utilization post-capture, Rice University researchers have devised a groundbreaking methodology. Their innovation hinges on electrolysis, employing catalysts featuring isolated copper atoms on two-dimensional polymer…
Mesenchymal stem cells (MSCs) have the potential to differentiate into multiple connective tissue lineages and secrete paracrine molecules that have immunomodulatory, anti-fibrotic, and angiogenic effects. This makes them a promising…
Researchers at Tampere University in Finland have discovered a new immune response mechanism specific to exposure to nanoparticles. This mechanism is common to multiple species, from humans to simpler creatures,…
Uveal melanoma (UM), a rare cancer originating from uveal tract melanocytes, exhibits four distinct molecular subsets. We conducted comprehensive multi-omics analysis comparing aggressive UM patient-derived xenograft models with normal melanocytes.…
Cellulosic biorefinery, utilizing industrially important proteins like cellulases, holds promise for a zero-waste, sustainable future. However, high production costs and low yields hinder commercialization. On-site production strategies and genetic engineering…
A new AI system can generate short videos predicting the future of a scene. It analyzes millions of videos to learn how objects interact, then uses this knowledge to create…
A study in an ECM-dominated forest examined the decomposition of ECM fungal fruit bodies over 20 weeks under varying levels of atmospheric nitrogen (N) deposition. Results showed that N addition…