Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...

With only one round of group stage games remaining, Mauricio Pochettino’s side could be in line for a relatively inviting run to the quarterfinals.

Abstract: The ill-posed models are widely encountered in various inversions of geodesy and remote sensing. The regularization approaches can significantly stabilize the solution to ill-posed models ...

Abstract: This paper presents a novel variation of the subspace-based optimization method (SOM) to reconstruct the scatterer's permittivity profile by utilizing only phaseless measurements (i.e., ...

Reference implementation for a variational autoencoder in TensorFlow and PyTorch. I recommend the PyTorch version. It includes an example of a more expressive variational family, the inverse ...

Languages have highly diverse structures—e.g. some place verbs first, others elsewhere—and this diversity is remarkably uneven across the globe. In some regions, languages show a variety of verb ...

Imagine starting the new year with the promise of at least a $147 million payout from the federal government. But there are strings attached. In late December, President Donald Trump's administration ...

The University requires recovery of the Indirect Costs of research in all Sponsored Research activity, to the extent possible, while respecting the diversity of External Sponsors. For example, as part ...

Ambulatory cardiac monitors’ clinical and economic outcomes vary; one long-term continuous monitor brand showed greater arrhythmia diagnosis, fewer retests and cardiovascular events, and lower health ...

For more than 75 years, the federal government has been the largest funder of scientific research at US colleges and universities. Federal science funding includes both direct costs for specific ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...