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, …
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 …
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 …
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
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 (…
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 …
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 …
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 …
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 …
fusion (LPBF) forming process. Aluminum alloy powder containing 14 wt% Zn and 2 wt% Zr …
End-to-end interpretable disease–gene association prediction
Identifying disease–gene associations is a fundamental and critical biomedical task towards
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time-…
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 …
of this paper is to investigate the factors influencing the macro-equivalent properties and …