Problems associated with large-scale pattern growth of graphene constitute one of the main
obstacles to using this material in device applications 1 . Recently, macroscopic-scale …

Federated learning enables resource-constrained edge compute devices, such as mobile
phones and IoT devices, to learn a shared model for prediction, while keeping the training …

The design and use of materials in the nanoscale size range for addressing medical and
health-related issues continues to receive increasing interest. Research in nanomedicine …

… Yue Zhao … Jianjin Shi and Yue Zhao: These authors contributed equally to this work. …
Yue Zhao …

Inflammatory caspases (caspase-1, -4, -5 and -11) are critical for innate defences. Caspase-1
is activated by ligands of various canonical inflammasomes, and caspase-4, -5 and -11 …

Rapid advances in nanopore technologies for sequencing single long DNA and RNA molecules
have led to substantial improvements in accuracy, read length and throughput. These …

This document proposes a collection of simplified models relevant to the design of new-physics
searches at the Large Hadron Collider (LHC) and the characterization of their results. …

Background The long-term health consequences of COVID-19 remain largely unclear. The
aim of this study was to describe the long-term health consequences of patients with COVID-…

Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …

Here we analyse genetic variation, population structure and diversity among 3,010 diverse
Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our …