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科研机构
西安交通大学 [305]
内容类型
期刊论文 [279]
会议论文 [26]
发表日期
2019 [12]
2018 [51]
2017 [37]
2016 [54]
2015 [32]
2014 [38]
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Chronic Intracerebroventricular Infusion of Metformin Inhibits Salt-Sensitive Hypertension via Attenuation of Oxidative Stress and Neurohormonal Excitation in Rat Paraventricular Nucleus.
期刊论文
Neuroscience bulletin, 2019, 卷号: 35, 页码: 57-66
作者:
Yu Xiao-Jing
;
Zhao Ya-Nan
;
Hou Yi-Kang
;
Li Hong-Bao
;
Xia Wen-Jie
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/11/19
Metformin
Oxidative stress
Hypertension
Sympathoexcitation
Paraventricular nucleus
SIRT6 protects retinal ganglion cells against hydrogen peroxide-induced apoptosis and oxidative stress by promoting Nrf2/ARE signaling via inhibition of Bach1.
期刊论文
Chemico-biological interactions, 2019, 卷号: 300, 页码: 151-158
作者:
Yu Jingni
;
Sun Wentao
;
Song Yanmin
;
Liu Jianrong
;
Xue Fang
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/11/19
Bach1
Nrf2
SIRT6
Retinal ganglion cells
Microfluidics-based fundamental characterization of external concentration polarization in forward osmosis
期刊论文
MICROFLUIDICS AND NANOFLUIDICS, 2019, 卷号: 23
作者:
Jiao, Yanmei
;
Zhao, Cunlu
;
Kang, Yuejun
;
Yang, Chun
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/11/19
Forward osmosis
Microfluidics
External concentration polarization
Visualization
Triton identification in the Li-6(n, t)He-4 reaction measurement with the grid ionization chamber at CSNS Back-n white neutron source
期刊论文
JOURNAL OF INSTRUMENTATION, 2019, 卷号: 14
作者:
Yi, H.
;
Zhao, Y.
;
Jiang, W.
;
Fan, R.
;
Li, Y.
收藏
  |  
浏览/下载:126/0
  |  
提交时间:2019/11/19
Instrumentation and methods for heavy-ion reactions and fission studies
Gaseous detectors
Digital signal processing (DSP)
Particle identification methods
A study of the optimal control approach for a Kalina cycle system using a radial-inflow turbine with variable nozzles at off-design conditions
期刊论文
Applied Thermal Engineering, 2019, 卷号: 149, 页码: 1008-1022
作者:
Du, Yang
;
Chen, Kang
;
Dai, Yiping
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/19
Constant pressure controls
Control approach
Exergy utilization efficiencies
Kalina cycle
Off-design performance
Radial inflow turbine
Traditional approaches
Turbine inlet pressure
PVTree: A Sequential Pattern Mining Method for Alignment Independent Phylogeny Reconstruction.
期刊论文
Genes, 2019, 卷号: 10
作者:
Kang Yongyong
;
Yang Xiaofei
;
Lin Jiadong
;
Ye Kai
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/11/19
phylogenetic tree
alignment free
sequential pattern mining
multiple sequence alignment
miR-22 and miR-214 targeting BCL9L inhibit proliferation, metastasis, and epithelial-mesenchymal transition by down-regulating Wnt signaling in colon cancer.
期刊论文
FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2019, 卷号: 33, 页码: 5411-5424
作者:
Sun Ruifang
;
Liu Zhigang
;
Han Lin
;
Yang Yang
;
Wu Fei
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/11/19
carcinoma of colon
EMT
BCL9-2
microRNA-22
microRNA-214
Optimizing early enteral nutrition in severe stroke (OPENS): protocol for a multicentre randomized controlled trial.
期刊论文
BMC neurology, 2019, 卷号: 19, 页码: 24
作者:
Yuan Fang
;
Yang Fang
;
Zhang Wei
;
Jia Yi
;
Ma Yaling
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/11/19
Prokinetic drug
Protocol
Critical care
Severe stroke
Permissive underfeeding
Enteral nutrition
Topological reorganization of EEG functional network is associated with the severity and cognitive impairment in Alzheimer's disease
期刊论文
Physica A: Statistical Mechanics and its Applications, 2019, 卷号: 513, 页码: 588-597
作者:
Chen, Jiangkuan
;
Liu, Cong
;
Peng, Chung-Kang
;
Fuh, Jong-Ling
;
Hou, Fengzhen
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/19
Alzheimer's disease
Clustering coefficient
Cognitive assessments
Cognitive functions
Cognitive impairment
Different frequency
Electro-encephalogram (EEG)
Undirected network
A trust-region method for H-2 model reduction of bilinear systems on the Stiefel manifold
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 卷号: 356, 页码: 2258-2273
作者:
Yang, Ping
;
Jiang, Yao-Lin
;
Xu, Kang-Li
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/19
Bilinear systems
H-2-optimality
Riemannian trust-region method
Model reduction
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