中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
金属研究所 [1]
合肥物质科学研究院 [1]
采集方式
OAI收割 [5]
内容类型
SCI/SSCI论文 [3]
期刊论文 [2]
发表日期
2016 [1]
2013 [1]
2012 [2]
2011 [1]
学科主题
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Temporal and Spatial Analysis of Neural Tube Defects and Detection of Geographical Factors in Shanxi Province, China
SCI/SSCI论文
OAI收割
2016
作者:
Liao Y. L.
;
Zhang, Y.
;
He, L.
;
Wang, J. F.
;
Liu, X.
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2017/11/09
high prevalence
trace-elements
folic-acid
risk
area
population
exposure
rates
soil
The Changing Trends of HIV/AIDS in An Ethnic Minority Region of China: Modeling the Epidemic in Liangshan Prefecture, Sichuan Province
期刊论文
OAI收割
BIOMEDICAL AND ENVIRONMENTAL SCIENCES, 2013, 卷号: 26
作者:
Liu Shou
;
Wang Qi Xing
;
Nan Lei
;
Wu Chun Lin
;
Wang Zhao Fen
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2020/10/26
HIV EPIDEMIC
SEX
MEN
CHALLENGES
PATTERNS
HIV/AIDS
Asian epidemic model
High-risk population
Liangshan Prefecture
PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China
SCI/SSCI论文
OAI收割
2012
Liao Y. L.
;
Wang J. F.
;
Wu J. L.
;
Wang J. J.
;
Zheng X. Y.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2014/12/24
Neural tube birth defects
GIS
PSO/ACO algorithm
Hierarchical
classification
Risk map
birth-defects
shanxi province
high-prevalence
population
Gastric cancer incidence and mortality in Zhuanghe, China, between 2005 and 2010
期刊论文
OAI收割
WORLD JOURNAL OF GASTROENTEROLOGY, 2012, 卷号: 18, 期号: 11, 页码: 1262-1269
作者:
Jing JingJing
;
Liu HuiYuan
;
Hao JinKuan
;
Wang LiNa
;
Wang YunPing
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/02/26
HELICOBACTER-PYLORI
POPULATION
TRENDS
POLYMORPHISM
STOMACH
IMPACT
RISK
Gastric cancer
Incidence
Mortality
Trend
High-risk areas
A comparison of methods for spatial relative risk mapping of human neural tube defects
SCI/SSCI论文
OAI收割
2011
Liao Y. L.
;
Wang J. F.
;
Wu J. L.
;
Wang J. J.
;
Zheng X. Y.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2012/06/08
Neural-tube birth defects
Hierarchical Bayesian model
Spatial
filtering method
Risk mapping
birth-defects
shanxi province
high-prevalence
exposure
china
population
heshun
rates
areas
model