Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

MICB and NOTCH4 were expressed in fibroblasts and endothelial cells, two cell types that play central roles in fibrosis and vasculopathy.

The emergence of machine learning and high-content microscopy suggests potential to more comprehensively define CF activation beyond simply staining α-SMA. Here, we coupled Cell Painting 4 with a ...

A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2025.240260 discusses a novel strategy for detecting trace-level nanoplastics in aquatic environments.

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...

To assess the machine learning algorithm's performance, a confusion matrix was utilized. Machine learning-based classifiers were assessed for area under the curve (AUC), balanced accuracy, sensitivity ...

But while it still plays a part in our machine learning, AI PC, it’s not the lynchpin. Still, you want a modern one with lots of cores and preferably a strong upgrade path for the future, too.

3 Results 3.1 Growth trend of publication Data pertaining to the annual production of myocardial infarction (MI) and machine learning (ML) research publications were systematically compiled and ...

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The ...

The variability of machinery fault signatures causes the data samples to follow different distributions under various operating conditions, which poses significant challenges on autonomous diagnosis ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...