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MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 2, 页码: 2085-2095
作者:
Guo,ZH (Guo, Zhen-Hao) 1
;
You,ZH (You,Zhu-Hong) 1, 2
;
Huang,DS (Huang, De-Shuang) 3, 4
;
Yi, HC (Yi, Hai-Cheng) 2
;
Zheng, K (Zheng, Kai) 5
收藏
  |  
浏览/下载:111/0
  |  
提交时间:2021/08/09
MeSHHeading2vecMeSH relationship networkgraph embeddingcomputational prediction model
NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information
期刊论文
EVOLUTIONARY BIOINFORMATICS, 2020, 卷号: 16, 期号: 12, 页码: 1-12
作者:
Jia, LN (Jia, Li-Na)[ 1 ]
;
Yan, X (Yan, Xin)[ 2,3 ]
;
You, ZH (You, Zhu-Hong)[ 4 ]
;
Zhou, X (Zhou, Xi)[ 4 ]
;
Li, LP (Li, Li-Ping)[ 4 ]
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  |  
浏览/下载:29/0
  |  
提交时间:2021/03/19
Self-interacting protein
natural language processing
evolutionary information
stacked auto-encoder
Highly efficient and selective removal of mercury ions using hyperbranched polyethylenimine functionalized carboxymethyl chitosan composite adsorbent
期刊论文
CHEMICAL ENGINEERING JOURNAL, 2019, 卷号: 358, 期号: 2, 页码: 253-263
作者:
Zeng, HH (Zeng, Hehua)[ 1,2,4 ]
;
Wang, L (Wang, Lan)[ 1 ]
;
Zhang, D (Zhang, Dan)[ 1,3 ]
;
Yan, P (Yan, Peng)[ 1 ]
;
Nie, J (Nie, Jing)[ 1 ]
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  |  
浏览/下载:66/0
  |  
提交时间:2019/09/02
Carboxymethyl chitosan
Polyethylenimine functionalization
Hg(II) removal
High efficiency
Selectivity
DFT calculation
Enhanced Terahertz Wave Generation via Stokes Wave Recycling in Non-Synchronously Picosecond Pulse Pumped Terahertz Source
期刊论文
IEEE Photonics Journal, 2019, 卷号: Vol.11 No.5, 页码: 1-8
作者:
Yan, C 1,2
;
Xu, DG 1,2
;
Wang, YY 1,2,3,4
;
Wang, ZH 5
;
Wei, ZY 5
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  |  
浏览/下载:46/0
  |  
提交时间:2019/11/26
Cavity resonators
Laser excitation
Recycling
Crystals
Optical attenuators
Oscillators
Pump lasers
Terahertz radiation
Nonlinear optics
Raman scattering
Stimulated polariton scattering
Picosecond phenomena.
Evolution of the electrochemical interface in sodium ion batteries with ether electrolytes
期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 页码: 725
作者:
Li, Kaikai[1]
;
Zhang, Jun[2]
;
Lin, Dongmei[3]
;
Wang, Da-Wei[4]
;
Li, Baohua[5]
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  |  
浏览/下载:69/0
  |  
提交时间:2019/04/22
Large elastocaloric effect driven by stress-induced two-step structural transformation in a directionally solidified Ni55Mn18Ga27 alloy
期刊论文
SCRIPTA MATERIALIA, 2019, 卷号: 163, 页码: 116-120
作者:
Li, Dong[1]
;
Li, Zongbin[2]
;
Yang, Jiajing[3]
;
Li, Zhenzhuang[4]
;
Yang, Bo[5]
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  |  
浏览/下载:75/0
  |  
提交时间:2019/04/22
Ni-Mn-Ga alloys
Elastocaloric effect
Stress-induced martensitic transformation
Inter-martensitic transformation
Mechanical and in vitro study of an isotropic Ti6Al4V lattice structure fabricated using selective laser melting
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 卷号: 782, 页码: 209-223
作者:
Yan, Xingchen[1]
;
Li, Qing[2]
;
Yin, Shuo[3]
;
Chen, Ziyu[4]
;
Jenkins, Richard[5]
收藏
  |  
浏览/下载:151/0
  |  
提交时间:2019/04/22
Lattice structure
Selective laser melting
Johnson-cook damage model
Ti6Al4V
Compression test
Motor skill learning induces brain network plasticity: A diffusion-tensor imaging study
期刊论文
PloS one, 2019, 卷号: 14, 页码: e0210015
作者:
Pi Yan-Ling[1]
;
Wu Xu-Heng[2]
;
Wang Feng-Juan[3]
;
Liu Ke[4]
;
Wu Yin[5]
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/04/22
A Hydrostable Cathode Material Based on the Layered P2@P3 Composite that Shows Redox Behavior for Copper in High-Rate and Long-Cycling Sodium-Ion Batteries
期刊论文
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2019, 卷号: 58, 页码: 1412-1416
作者:
Yan, Zichao[1]
;
Tang, Liang[2]
;
Huang, Yangyang[3]
;
Hua, Weibo[4]
;
Wang, Yong[5]
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/04/22
hydrostable cathodes
layered structures
sodium-ion batteries
zinc
Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs
期刊论文
CURRENT DRUG TARGETS, 2019, 卷号: 20, 页码: 488-500
作者:
Hu, Yan[1]
;
Lu, Yi[2]
;
Wang, Shuo[3]
;
Zhang, Mengying[4]
;
Qu, Xiaosheng[5]
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  |  
浏览/下载:35/0
  |  
提交时间:2019/04/22
Machine learning (ML)
anticancer drugs
linear discriminant analysis (LDA)
principal components analysis (PCA)
support vector machine (SVM)
random forest (RF)
k-nearest neighbor (kNN)
naive bayes (NB)
deep learning
web servers
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