The oriented attachment of molecular clusters and nanoparticles in solution is now recognized
as an important mechanism of crystal growth in many materials, yet the alignment process …

Electron microscopy touches on nearly every aspect of modern life, underpinning materials
development for quantum computing, energy and medicine. We discuss the open, highly …

This retrospective study was designed to explore whether neutrophil to lymphocyte ratio (NLR)
is a prognostic factor in patients with coronavirus disease 2019 (COVID‐19). A cohort of …

Wind energy is one of the most important renewable energy sources and many countries
are predicted to increase wind energy portion of their whole national energy supply to about …

Near-infrared (NIR) dye-sensitized upconversion nanoparticles (UCNPs) can broaden the
absorption range and boost upconversion efficiency of UCNPs. Here, we achieved …

Solving complicated AI tasks with different domains and modalities is a key step toward artificial
general intelligence. While there are numerous AI models available for various domains …

The rapid development of proteomics studies has resulted in large volumes of experimental
data. The emergence of big data platform provides the opportunity to handle these large …

Most teacher-student frameworks based on knowledge distillation (KD) depend on a strong
congruent constraint on instance level. However, they usually ignore the correlation between …

We investigate graph neural networks on graphs with heterophily. Some existing methods
amplify a node’s neighborhood with multi-hop neighbors to include more nodes with …

The capacity for self-renewal and differentiation of human embryonic stem (ES) cells makes
them a potential source for generation of pancreatic beta cells for treating type I diabetes …