Machine learning relies on the availability of vast amounts of data for training. However, in
reality, data are mostly scattered across different organizations and cannot be easily …

Different from previous studies which mainly focused on conventional estimation techniques,
this paper examines the CO 2 EKC hypothesis of China using a spatial panel data model to …

It is essential to develop a facile and effective method to enhance the electrochemical
performance of lithium metal anodes for building high‐energy‐density Li‐metal based batteries. …

Background MicroRNAs (miRNAs) are a class of endogenously expressed, small noncoding
RNAs, which suppress its target mRNAs at the post-transcriptional level. Studies have …

We developed a highly automated three-dimensionally based method for the segmentation
of bone in volumetric computed tomography (CT) datasets. The multistep approach starts …

Designing atomically dispersed metal catalysts for oxygen reduction reaction (ORR) is a
promising approach to achieve efficient energy conversion. Herein, we develop a template-…

Two end-decorated homopolymers, poly(styrene)-β-cyclodextrin (PS-β-CD) and poly(ethylene
oxide)-ferrocene (PEO-Fc), can orthogonally self-assemble into a supramolecular diblock …

10.7554/eLife.05378.001 Although arthropods are important viral vectors, the biodiversity of
arthropod viruses, as well as the role that arthropods have played in viral origins and …

Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with
different features about the same set of users jointly train machine learning models without …

MicroRNAs (miRNAs) have emerged as a class of regulators of gene expression through
posttranscriptional degradation or translational repression in living cells. Increasing evidence …