The energy security and environmental problems impel people to explore a more efficient,
environment friendly and economical energy utilization pattern. In this paper, the coordinated …

The graph convolutional networks (GCN) recently proposed by Kipf and Welling are an
effective graph model for semi-supervised learning. This model, however, was originally …

Multi energy system is considered an effective pattern to improve the energy efficiency and
reduce energy supply cost by integrating multi energy carriers. Face abundance energy …

Background Previous studies have examined the effect of statin use on the mortality in cancer
patients, but the results are inconsistent. A meta-analysis was performed to assess the …

The energy system characterized by hydrogen production from renewable energy will be one
of the important directions of energy internet in the future. This paper was concentrated on …

Graph representation learning resurges as a trending research subject owing to the
widespread use of deep learning for Euclidean data, which inspire various creative designs of …

Seawater electrolysis to produce hydrogen is a critical technology in marine energy projects;
however, the severe anode corrosion caused by the highly concentrated chloride is a key …

Rare earth (RE) elements are widely used in the luminescence and magnetic fields by
virtue of their abundant 4f electron configurations. However, the overall performance and …

Weed resistance is a critical issue in crop production. Among the known herbicides, 4-hydroxyphenylpyruvate
dioxygenase (HPPD) inhibitors are crucial for addressing weed resistance…

An environmentally friendly, facile, and economical Fe/N co-doped carbonaceous material (Fe-N@C)
was prepared by the in-situ pyrolysis of Fe/N rich Enteromorpha biomass for …