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 …

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 …

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

Nature uses organic molecules for light harvesting and photosynthesis, but most man-made
water splitting catalysts are inorganic semiconductors. Organic photocatalysts, while …

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 …

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

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‐…

The relative contributions of apoptosis and necrosis in brain injury have been a matter of
much debate. Caspase-3 has been identified as a key protease in the execution of apoptosis, …