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Silk fibroin peptide self-assembled nanofibers delivered naringenin to alleviate cisplatin-induced acute kidney injury by inhibiting mtDNA-cGAS-STING pathway
期刊论文
FOOD AND CHEMICAL TOXICOLOGY, 2023, 卷号: 177, 页码: 10
作者:
Liu, Shuai
;
Gao, Xintao
;
Yin, Yulan
;
Wang, Jing
;
Dong, Kehong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/13
Silk fibroin peptide
Naringin
Acute kidney injury
Mitophagy
cGAS-STING pathway
Effects of phase separation on dewaterability promotion and heavy metal removal of sewage sludge during bioleaching
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 12
作者:
Lu, Yulan
;
Wu, Rongjun
;
Zhang, Jun
;
Liu, Hongtao
;
Dai, Yu
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  |  
浏览/下载:51/0
  |  
提交时间:2021/11/05
Biosolids
Sludge pretreatment
Dewatering
Two-phase
Baffled-flow bioreactor
Acidithiobacillus spp
Aligned Ti3C2TxElectrodes Induced by Magnetic Field for High-Performance Lithium-Ion Storage
期刊论文
ACS Applied Energy Materials, 2021, 卷号: 4, 期号: 6, 页码: 5590-5598
作者:
Zhang, Li
;
Zeng, Mingyang
;
Liu, Ziqiang
;
Ma, Quanhu
;
Lu, Yulan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/17
Alignment
Carbides
Electron transport properties
Graphite
Graphite electrodes
Ions
Lithium-ion batteries
Magnetic storage
Magnetism
Transition metal compounds
Transition metals
Alignment structure
High specific surface area
Lithium ion storages
Lithium storage capacity
Specific capacities
Synergistic effect
Transition metal carbide
Two-dimensional materials
Aligned Ti3C2Tx Electrodes Induced by Magnetic Field for High-Performance Lithium-Ion Storage
期刊论文
ACS APPLIED ENERGY MATERIALS, 2021, 卷号: 4, 期号: 6, 页码: 5590-5598
作者:
Zhang, Li
;
Zeng, Mingyang
;
Liu, Ziqiang
;
Ma, Quanhu
;
Lu, Yulan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/10/14
magnetic alignment technology
Ti3C2Tx
rate performance
lithium-ion battery
supporting effect
synergistic effect
Biodegradation mechanism of typical fluoroquinolones in sewage-sludge composts
期刊论文
DESALINATION AND WATER TREATMENT, 2021, 卷号: 225, 页码: 63-75
作者:
Zhang, Jun
;
Lu, Yulan
;
Yan, Qinying
;
Liu, Hongtao
;
Xi, Beidou
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  |  
浏览/下载:32/0
  |  
提交时间:2021/08/19
Sewage sludge
Antibiotics
Composting
Biodegradation
Microbial community
Vibrational Spectral Analysis of Natisite (Na2TiSiO5) and its Structure Evolution in Water and Sulfuric Acid Solutions
期刊论文
MATERIALS, 2021, 卷号: 14, 期号: 9, 页码: 14
作者:
Meng, Fancheng
;
Liu, Yahui
;
Wang, Lina
;
Chen, Desheng
;
Zhao, Hongxin
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  |  
浏览/下载:15/0
  |  
提交时间:2021/08/31
natisite
vibration spectroscopy
structure evolution
sodium ion
aqueous solution
Determination and Analysis of Solubility of Na3VO4 in Aqueous NaOH Solutions Containing Na2CO3, NaAlO2, or Na2SiO3 at 298.15-353.15 K
期刊论文
JOURNAL OF CHEMICAL AND ENGINEERING DATA, 2021, 卷号: 66, 期号: 4, 页码: 1574-1581
作者:
Meng, Fancheng
;
Cao, Lei
;
Yang, Huan
;
Liu, Yahui
;
Wang, Lina
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/08/31
Design, synthesis and biological evaluation of pyrazolo[3,4-d]pyridazinone derivatives as covalent FGFR inhibitors
期刊论文
ACTA PHARMACEUTICA SINICA B, 2021, 卷号: 11, 期号: 3, 页码: 781-794
作者:
Wu, Xiaowei
;
Dai, Mengdi
;
Cui, Rongrong
;
Wang, Yulan
;
Li, Chunpu
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/05/24
Tyrosine kinase
Covalent FGFR inhibitors
Virtual screening
Pyrazolo[3,4-d] pyridazinone
Structure-activity relationships
Antitumor efficacy
Convergence and Stability of the Truncated Euler-Maruyama Method for Stochastic Differential Equations with Piecewise Continuous Arguments
期刊论文
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2021, 卷号: 14, 期号: 1, 页码: 194-218
作者:
Geng, Yidan
;
Song, Minghui
;
Lu, Yulan
;
Liu, Mingzhu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/01/14
Stochastic differential equations with piecewise continuous argument
local Lipschitz condition
Khasminskii-type condition
truncated Euler-Maruyama method
convergence and stability
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 832-836
作者:
Liu, Mengyi
;
Wang, Shuhui
;
Guo, Yulan
;
He, Yuan
;
Xue, Hui
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/12/01
Depth estimation
semantic segmentation
pano-ramic video
self-supervised learning
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