Background Activating mutations in EGFR are important markers of response to tyrosine
kinase inhibitor (TKI) therapy in non-small-cell lung cancer (NSCLC). The OPTIMAL study …

Sugarcane is a major crop for sugar and ethanol production and its area has increased
substantially in tropical and subtropical regions in recent decades. Updated and accurate …

Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal
control (ATSC) in complex urban traffic networks, and deep neural networks further enhance …

In recent years, convolutional neural network (CNN) based methods have achieved great
success in a large number of applications and have been among the most powerful and widely …

We have produced the first 30 m resolution global land-cover maps using Landsat Thematic
Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over …

In video object tracking, there exist rich temporal contexts among successive frames, which
have been largely overlooked in existing trackers. In this work, we bridge the individual video …

We have performed the largest ever particle simulation of a Milky Way sized dark matter halo,
and present the most comprehensive convergence study for an individual dark matter halo …

Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across
many research fields. We explored bird macroevolution using full genomes from 48 avian …

The auditory system is the most efficient and straightforward communication strategy for
connecting human beings and robots. Here, we designed a self-powered triboelectric auditory …

Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) has
become the dominant technique for mapping transcription factor (TF) binding regions genome-…