Traffic flow analysis, prediction and management are keystones for building smart cities in
the new era. With the help of deep neural networks and big traffic data, we can better …

The demand for deep-ultraviolet (deep-UV) coherent light sources (l< 200 nm) has become
increasingly urgent because they have important applications in semiconductor …

Background Little is known about COVID-19 outside Hubei. The aim of this paper was to
describe the clinical characteristics and imaging manifestations of hospitalized patients with …

Federated learning (FL) is a rapidly growing research field in machine learning. However,
existing FL libraries cannot adequately support diverse algorithmic development; inconsistent …

OBJECTIVE: The purpose of this study was to evaluate the efficacy and safety of erythropoietin
in neonatal hypoxic-ischemic encephalopathy (HIE), by using a randomized, prospective …

The iron and steel industry is a critical sector for achieving China’s carbon neutrality goal.
However, existing studies lack considering the multiple constraints including limited resources, …

Frequent oil spill accidents and industrial wastewater discharge result in severe health and
ecological problems to human beings. Generally, industrial wastewater contains not only …

The electrochemical conversion of nitrate pollutants into value‐added ammonia is a feasible
way to achieve artificial nitrogen cycle. However, the development of electrocatalytic nitrate‐…

Traditional biodiversity assessment is costly in time, money and taxonomic expertise. Moreover,
data are frequently collected in ways (eg visual bird lists) that are unsuitable for auditing …

To manage and conserve biodiversity, one must know what is being lost, where, and why,
as well as which remedies are likely to be most effective. Metabarcoding technology can …