As DRAM technologies scale to increasingly tighter pitches, the patterning requirements exceed the limits of conventional ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Objectives We use new data and robust methods to estimate mortality levels and trends for US states and Washington DC and ...

Nationally, there has been a rise in the number of children and adolescents with congenital and acquired heart disease ...

A new study from The University of New Mexico offers a nationwide look at how Americans discuss one of the most enduring forms of housing ...

What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...