Purification, antitumor and antioxidant activities in vitro of polysaccharides from the brown seaweed Sargassum pallidum

H Ye, K Wang, C Zhou, J Liu, X Zeng - Food Chemistry, 2008 - Elsevier
Supercritical CO 2 extraction, ultrasonic-aid extraction and membrane separation technology
were applied to prepare Sargassum pallidum polysaccharides (SP). Three main fractions, …

Enhancing tensile properties of MIG welded AA6061 joints: effect of pulse mode and post-weld heat treatment

J Bi, J Chi, H Song, H Shao, K Wang, Z Yang… - Materials Today …, 2024 - Elsevier
Metal-Inert Gas (MIG) welding is one of the most important welding technologies commonly
used in the manufacturing industry due to its high degree of automation and welding …

Drug–target interaction predication via multi-channel graph neural networks

Y Li, G Qiao, K Wang, G Wang - Briefings in Bioinformatics, 2022 - academic.oup.com
Drug–target interaction (DTI) is an important step in drug discovery. Although there are many
methods for predicting drug targets, these methods have limitations in using discrete or …

Influences of structures of galactooligosaccharides and fructooligosaccharides on the fermentation in vitro by human intestinal microbiota

W Li, K Wang, Y Sun, H Ye, B Hu, X Zeng - Journal of Functional Foods, 2015 - Elsevier
A structure–function study was carried out to expand the knowledge base of the effects of
carbohydrate glycosidic linkage, monosaccharide composition and degree of polymerization (…

LES-YOLO: A lightweight pinecone detection algorithm based on improved YOLOv4-Tiny network

M Cui, Y Lou, Y Ge, K Wang - Computers and Electronics in Agriculture, 2023 - Elsevier
Pinecones are an important forest product that are often harvested manually. Automated
pinecone detection and harvesting might increase the yield and resolve the problem of labor …

Evaluating disease similarity based on gene network reconstruction and representation

Y Li, W Keqi, G Wang - Bioinformatics, 2021 - academic.oup.com
Motivation Quantifying the associations between diseases is of great significance in increasing
our understanding of disease biology, improving disease diagnosis, re-positioning and …

Accurate photovoltaic power prediction via temperature correction with physics-informed neural networks

K Wang, L Wang, Q Meng, C Yang, Y Lin, J Zhu… - Energy, 2025 - Elsevier
Photovoltaic (PV) power generation, an essential part of renewable energy, is affected by
both irradiance and module temperature. Accurately predicting PV module temperature and …

Microstructure, mechanical properties and multiphase synergistic strengthening mechanisms of LPBF fabricated AlZnMgZr alloy with high Zn content

J Bi, K Wang, C Wu, B Liu, J Chi, X Qin, W Chen… - Additive …, 2024 - Elsevier
In this work, a novel aluminum alloy with high Zn content was designed for laser powder bed
fusion (LPBF) forming process. Aluminum alloy powder containing 14 wt% Zn and 2 wt% Zr …

End-to-end interpretable disease–gene association prediction

…, Z Guo, K Wang, X Gao, G Wang - Briefings in bioinformatics, 2023 - academic.oup.com
Identifying disease–gene associations is a fundamental and critical biomedical task towards
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time-…

Multi-scale collaborative prediction of optimal configuration for carbon fiber woven composites based on deep learning neural networks

Z Wang, C Zhao, Z Yang, K Wang, G Dong… - Composite …, 2024 - Elsevier
Since carbon fiber woven composite panels contain complex fiber bundle structures, the aim
of this paper is to investigate the factors influencing the macro-equivalent properties and …