Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...
Alan Ritchson has sparked fresh excitement about the future of the action film War Machine. The actor recently hinted that the story may continue, revealing that ideas for a potential sequel are ...
Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...
Osaka, Japan – Researchers have clarified the mechanisms by which energy loss is locally maximized at a certain rotational speed in gas-liquid two-phase flows driven by rotors, providing fundamental ...
Anthropic is locking in massive TPU capacity on Google Cloud—up to one million chips over the life of the deal—mirroring its scale on AWS Trainium and cementing its role as a truly multi-cloud ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coalescence filtration in fibrous filters underpins critical processes in various ...
Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...
Accurate prediction of kidney graft failure at different phases post-transplantation is critical for timely intervention and long-term allograft preservation. Traditional survival models offer limited ...
Abstract: In the polymer industry, where polymers are transformed into a wide range of plastic products, accurate quality assessment through melt flow testing remains critical but challenging.