Tumour cells evade immune surveillance by upregulating the surface expression of programmed
death-ligand 1 (PD-L1), which interacts with programmed death-1 (PD-1) receptor on T …

The large pose discrepancy between two face images is one of the key challenges in face
recognition. Conventional approaches for pose-invariant face recognition either perform face …

Recently, Convolutional Neural Network (CNN) based models have achieved great success
in Single Image Super-Resolution (SISR). Owing to the strength of deep networks, these …

This literature review summarizes research on online teaching and learning. It is organized
into four topics: course environment, learners’ outcomes, learners’ characteristics, and …

dbNSFP is a database developed for functional prediction and annotation of all potential
non‐synonymous single‐nucleotide variants (nsSNVs) in the human genome. This database …

The purpose of the dbNSFP is to provide a one‐stop resource for functional predictions and
annotations for human nonsynonymous single‐nucleotide variants (nsSNVs) and splice‐site …

As a new generation of porous materials, porous organic polymers (POPs), have recently
emerged as a powerful platform of heterogeneous photocatalysis. POPs are constructed using …

The metal-sulphur active sites of hydrogenases catalyse hydrogen evolution or uptake at
rapid rates. Understanding the structure and function of these active sites—through …

Recently, very deep convolutional neural networks (CNNs) have been attracting considerable
attention in image restoration. However, as the depth grows, the long-term dependency …

As a first step toward understanding how rare variants contribute to risk for complex diseases,
we sequenced 15,585 human protein-coding genes to an average median depth of 111× …