Anthropogenic activities enhance mercury methylation in sediments of a multifunctional lake: Evidence from dissolved organic matter and mercury-methylating microorganisms
Juan Wang(Southwest University), Dingyong Wang(Southwest University), Zhang Cheng(Henan University), Qing Xie(North China Electric Power University), Tao Jiang(University of California, Riverside), Yuping Xiang(Ministry of Education of the People's Republic of China), Jiajia Li(Southwest University), Yongmin Wang(Southwest University), Jinping Xue(Southwest University)
Cited by 13
Related Papers
NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions
|Bioinformatics|2018|380
Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain
|Ecological Modelling|2004|262
MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities
|Cell Systems|2020|256
TITER: predicting translation initiation sites by deep learning
|Bioinformatics|2017|122
Hydrophobic treatment on polymethylmethacrylate surface by nanosecond-pulse DBDs in CF4 at atmospheric pressure
|Applied Surface Science|2014|92