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山东大学 [7]
兰州大学 [4]
复旦大学上海医学院 [4]
中南大学 [2]
北京大学 [1]
物理研究所 [1]
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期刊论文 [29]
会议论文 [1]
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Effect of Build Orientation on the Corrosion Behavior and Mechanical Properties of Selective Laser Melted Ti-6Al-4V
期刊论文
METALS, 2019, 卷号: 9, 期号: 9
作者:
Sui, Qingxuan
;
Li, Peizhen
;
Wang, Kunlun
;
Yin, Xiaotian
;
Liu, Lingyu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
selective laser melting
Ti-6Al-4V alloy
build orientation
corrosion
resistance
mechanical properties
Environmental improvement of lead refining: a case study of water footprint assessment in Jiangxi Province, China
期刊论文
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2019, 卷号: 24, 期号: 8, 页码: 1533-1542
作者:
Yang, Donglu
;
Yin, Yongquan
;
Ma, Xiaotian
;
Zhang, Ruirui
;
Zhai, Yijie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Direct pollutant emission
Lead refining
Life cycle assessment
Water
footprint
Water resource
Comparisons of clinical manifestations and prognosis between giant cell arteritis patients with or without sensorineural hearing loss A retrospective study of Chinese patients
期刊论文
2019, 卷号: 98, 期号: 17, 页码: e15286
作者:
Chu, Xiaotian
;
Wang, Dongmei
;
Zhang, Yun
;
Yin, Yue
;
Cao, Yu
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/01/03
giant cell arteritis
hearing loss
Faecalibacterium prausnitzii Produces Butyrate to Maintain Th17/Treg Balance and to Ameliorate Colorectal Colitis by Inhibiting Histone Deacetylase 1
期刊论文
INFLAMMATORY BOWEL DISEASES, 2018, 卷号: 24, 期号: 9
作者:
Zhou, Lixing
;
Zhang, Mingming
;
Wang, Yuming
;
Dorfman, Robert Gregory
;
Liu, Hang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/05
Faecalibacterium prausnitzii
inflammatory bowel disease
regulatory T cells
T helper 17 cells
butyrate
histone deacetylase
A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network
期刊论文
GENES, 2018, 卷号: 9, 期号: 3
作者:
Zhang, Xiaotian
;
Yin, Jian
;
Zhang, Xu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
multiple type miRNA-disease association prediction
semi-supervised
learning
network similarity
label propagation algorithm
Clusters of week-specific maternal gestational weight gain pattern and their association with birthweight: an observational cohort study
期刊论文
ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 2017, 卷号: 96, 期号: 10
作者:
Dong, Xinran
;
Liang, Huan
;
Yin, Chuanmin
;
Acharya, Ganesh
;
Li, Xiaotian
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Gestational weight gain
week-specific maternal weight gain
longitudinal study
weight gain in pregnancy
hierarchical clustering
birthweight
Proof-of-Concept Workflow for Establishing Reference Intervals of Human Urine Proteome for Monitoring Physiological and Pathological Changes
期刊论文
EBioMedicine, 2017, 卷号: 18
作者:
Leng, Wenchuan/56454941300[0]
;
Ni, Xiaotian/57193856960[1]
;
Sun, Changqing/57193764212[2]
;
Lu, Tianyuan/55812530100[3]
;
Malovannaya, Anna/8947564100[4]
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/05
Biomarker
Cancer
Mass spectrometry
Reference intervals
Urine proteome
Visible-Light-Driven Aza-ortho-quinone Methide Generation for the Synthesis of Indoles in a Multicomponent Reaction
期刊论文
Angewandte Chemie - International Edition, 2017, 卷号: 56, 期号: 32, 页码: 9527-9531
作者:
Liu, Yi-Yin
;
Yu, Xiao-Ye
;
Chen, Jia-Rong*
;
Qiao, Ming-Ming
;
Qi, Xiaotian
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/23
aza-ortho-quinone methides
indoles
photochemistry
radicals
sulfur ylides
Drug-target interaction prediction: databases, web servers and computational models
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2016, 卷号: 17, 期号: 4, 页码: 696-712
作者:
Chen, Xing
;
Yan, Chenggang Clarence
;
Zhang, Xiaotian
;
Zhang, Xu
;
Dai, Feng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/13
drug-target interactions prediction
drug discovery
computational models
biological networks
machine learning
Drug-target interaction prediction: databases, web servers and computational models
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2016, 卷号: 17, 期号: 4, 页码: 696-712
作者:
Chen, Xing
;
Yan, Chenggang Clarence
;
Zhang, Xiaotian
;
Zhang, Xu
;
Dai, Feng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/16
drug-target interactions prediction
drug discovery
computational
models
biological networks
machine learning
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