In this paper we study a family of gradient descent algorithms to approximate the regression
function from reproducing kernel Hilbert spaces (RKHSs), the family being characterized by …

Polycrystalline ZnO nanowires have been grown in anodic aluminum oxide templates using
a dry vapor‐deposition method. The nanowires have a high aspect ratio and a uniform …

Recently, carbon dioxide capture and conversion, along with hydrogen from renewable
resources, provide an alternative approach to synthesis of useful fuels and chemicals. People …

Renewable and biodegradable materials derived from biomass are attractive candidates to
replace non-biodegradable petrochemical plastics. However, the mechanical performance …

Medulloblastoma, the most common malignant paediatric brain tumour, is currently treated
with nonspecific cytotoxic therapies including surgery, whole-brain radiation, and aggressive …

Synthetic fibres such as polyester and carbon are used in a broad variety of industries.
However, as they derive from petrochemicals that are neither renewable nor biodegradable, the …

High-current density (≥1 A cm –2 ) is a critical factor for large-scale industrial application of
water-splitting electrocatalysts, especially seawater-splitting. However, it still remains a great …

Electron−hole recombination limits the efficiency of TiO 2 photocatalysis. We have investigated
the efficacy with which anatase/carbon nanotube (CNT) composite materials reduce …

Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved
great success and become a milestone in the field of artificial intelligence (AI). Owing to …

We present a Few-Shot Relation Classification Dataset (FewRel), consisting of 70, 000
sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation …