2013
DOI: 10.1186/1478-4505-11-41
|View full text |Cite
|
Sign up to set email alerts
|

Developing a new perspective to study the health of survivors of Sichuan earthquakes in China: a study on the effect of post-earthquake rescue policies on survivors’ health-related quality of life

Abstract: BackgroundSichuan is a province in China with an extensive history of earthquakes. Recent earthquakes, including the Lushan earthquake in 2013, have resulted in thousands of people losing their homes and their families. However, there is a research gap on the efficiency of government support policies. Therefore, this study develops a new perspective to study the health of earthquake survivors, based on the effect of post-earthquake rescue policies on health-related quality of life (HRQOL) of survivors of the S… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
30
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 33 publications
(31 citation statements)
references
References 22 publications
1
30
0
Order By: Relevance
“…The sample data selected in this paper was training network based on DRNN model, input was (k) u ,and output was (k) y , for diagonal recurrent neural network was a three-layer network [16]. The selected model structure was (2,7,1) , the system simulation test was carried on with traditional BP algorithm and improved LM_BPI algorithm as comparison, test for 50 times, and calculated the average, each algorithm scheduled training steps and error requirements, and simulation accuracy comparison results as shown in This paper, by introducing LM_BPI algorithm into DRNN weight training, to avoid the defect of local convergence and slow convergence speed produced by traditional BP algorithm, the simulation experiment included several common attack types, random sampling data in the intrusion detection database, in order to make sure the correctness of the experiment.…”
Section: Resultsmentioning
confidence: 99%
“…The sample data selected in this paper was training network based on DRNN model, input was (k) u ,and output was (k) y , for diagonal recurrent neural network was a three-layer network [16]. The selected model structure was (2,7,1) , the system simulation test was carried on with traditional BP algorithm and improved LM_BPI algorithm as comparison, test for 50 times, and calculated the average, each algorithm scheduled training steps and error requirements, and simulation accuracy comparison results as shown in This paper, by introducing LM_BPI algorithm into DRNN weight training, to avoid the defect of local convergence and slow convergence speed produced by traditional BP algorithm, the simulation experiment included several common attack types, random sampling data in the intrusion detection database, in order to make sure the correctness of the experiment.…”
Section: Resultsmentioning
confidence: 99%
“…Larger mc can be set up in initial stage and smaller mc can be set up in later stage. Generally, the maximum value of mc can be set up to be 0.9, with minimum value of 0.4 During iteration, mc varies linearly with step length from maximum value to minimum value [17,18]. …”
Section: Description Of Cwsn Coverage Optimizationmentioning
confidence: 99%
“…Because the structural characteristics and photosynthetic characteristics of plant leaves are closely related to their environments, so different habitats will show differently adaptive characteristics and mechanisms [11][12][13][14]. The mechanism of interaction between plants and environmental factors and their adaptability to biotopes can be reflected by plant photosynthetic characteristics and leaf traits and their relationships [15][16]. Therefore, the study of plant photosynthetic characteristics and structural characteristics under certain environmental conditions is an important content of plant adaptability research [17][18][19].…”
Section: Introductionmentioning
confidence: 99%