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Search Results: 1 - 10 of 37037 matches for " Yanfang Zhao "
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Application of Fractal Theory in Brick-Concrete Structural Health Monitoring  [PDF]
Changmin Yang, Xia Zhao, Yanfang Yao, Zhongqiang Zhang
Engineering (ENG) , 2016, DOI: 10.4236/eng.2016.89058
Abstract: In order to monitor and forecast the deformation of the brick-concrete building, by taking a brick-concrete building as research object, fiber grating sensors were used to collect the monitoring data and double logarithmic curve of limit value characteristic and monitoring data were obtained based on the fractal theory. Constant dimension fractal method cannot be used to analyze the data directly. With the method of variable dimension fractal, we accumulate data, and the double logarithmic curve is smooth. Piecewise fractal dimensions are close. The outer interpolation method is used to calculate the fractal dimension of the next point and then back calculate the vertical displacement. The relative errors are calculated by comparing the forecast values and monitoring values, and the maximum relative error is 5.76%. The result shows that the fractal theory is suitable to use in the forecast of the deformation and the accuracy is good.
Evolution and significance of soil magnetism of basalt-derived chronosequence soils in tropical southern China  [PDF]
Decheng Li, Yanfang Yang, Jinping Guo, Bruce Velde, Ganlin Zhang, Feng Hu, Mingsong Zhao
Agricultural Sciences (AS) , 2011, DOI: 10.4236/as.2011.24070
Abstract: Soil samples were collected from eight basalt- derived chronosequence soils with the ages of 0.01, 0.58, 0.92, 1.33, 2.04, 3.04, 3.76 and 6.12 Ma respectively from Leizhou Peninsula and northern Hainan Island of tropical southern China. Magnetic parameters of magnetic susceptibility (MS), percentage of frequency-dependent magnetic susceptibility (FDS%), anhysteretic remanent magnetization (ARM), saturation isothermal remanent magnetization (SIRM), soft and hard isothermal remanent magnetization (IRMs and IRMh) of the collected samples were measured to study the evolution and the significance of the magnetism with soil age. The results show that the magnetic parameters changed fast from Primosols to Ferrosols (0.01 ~ 0.92 Ma) but slowly at Ferralosols stage (1.33 Ma~), it suggests a stable phase occurred for soil magnetism at Ferralosols, the existence of this phase could be supported by the little changes in the contents of clay, Fet and Fed. Obvious differences existed in the values of magnetic parameters between Ferralosols and other soil types (Primosols and Ferrosols), FDS%: Ferralosols > 10%, Primosols and Ferrosols < 10%; ARM, Ferralosols < 7000 × 10–8· SIm3·kg–1, Primosols and Ferrosols > 8000 × 10–8 SIm3·kg–1, thus, it is possible to differentiate Ferralosols from other soil types in tropical region by using magnetic indices.
Study on the Risk Evaluation of Government Purchasing Public Service Based on Matter Element Extension Model  [PDF]
Yanfang Chen
Open Journal of Social Sciences (JSS) , 2018, DOI: 10.4236/jss.2018.62012
The government purchase public service has the dual effect of performance and risk, and risk management should run through the purchase service. By identifying the key influencing factors, this paper constructs the risk evaluation index system of government purchasing public services, and introduces the matter element extension method to quantify all kinds of risks. The empirical test is based on the sample data of S province. The results show that the risk level of government purchase of public service is “high” and the trend of “medium” level is obvious. The institutional arrangement leads to a “higher” social risk, management risk and economic risk. It is mainly related to the factors such as voluntary failure, internal effect, social trust, power capital, information disclosure, rules and regulations, and management process. Based on this, this paper puts forward the corresponding policy recommendations.
Does Education Improve Intergenerational Income Mobility?  [PDF]
Yanfang Liao
Open Journal of Social Sciences (JSS) , 2019, DOI: 10.4236/jss.2019.75006
Abstract: When the whole people enter a well-off society, the income gap between residents and the solidification of social strata remain the focus of government and society. The improvement of intergenerational income mobility can improve the internal structure of income distribution and promote social stratum mobility to a certain extent. As the saying goes, “knowledge changes fate”, but there are also “poor families can hardly give birth to noble children”. Then, whether the improvement of education level can help individuals to move upwards, weaken the influence of family economic status on their income, and improve intergenerational mobility? This paper uses household income distribution survey, estimates intergenerational income elasticity with double samples, and uses Intersection item to analyze the effect of education level on intergenerational income elasticity in the model. The empirical results show that the increase of educational years can improve intergenerational income mobility, and the effect is better in rural areas. Therefore, the government should promote education fairness, protect children’s equal right to education, especially low-income families, guide them in the concept of education, continue the development of compulsory education, and improve the funding system of higher education.
Roles of the DYRK Kinase Pom2 in Cytokinesis, Mitochondrial Morphology, and Sporulation in Fission Yeast
Pengcheng Wu,Ran Zhao,Yanfang Ye,Jian-Qiu Wu
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0028000
Abstract: Pom2 is predicted to be a dual-specificity tyrosine-phosphorylation regulated kinase (DYRK) related to Pom1 in Schizosaccharomyces pombe. DYRKs share a kinase domain capable of catalyzing autophosphorylation on tyrosine and exogenous phosphorylation on serine/threonine residues. Here we show that Pom2 is functionally different from the well-characterized Pom1, although they share 55% identity in the kinase domain and the Pom2 kinase domain functionally complements that of Pom1. Pom2 localizes to mitochondria throughout the cell cycle and to the contractile ring during late stages of cytokinesis. Overexpression but not deletion of pom2 results in severe defects in cytokinesis, indicating that Pom2 might share an overlapping function with other proteins in regulating cytokinesis. Gain and loss of function analyses reveal that Pom2 is required for maintaining mitochondrial morphology independently of microtubules. Intriguingly, most meiotic pom2Δ cells form aberrant asci with meiotic and/or forespore membrane formation defects. Taken together, Pom2 is a novel DYRK kinase involved in regulating cytokinesis, mitochondrial morphology, meiosis, and sporulation in fission yeast.
Peihua Zhu,Yanfang Zhao,Haiyan Chen,Qingtao Cui
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809009672
Abstract: In the title compound, C21H19BrO2, the dihedral angles between the central benzene ring and the two peripheral rings are 50.28 (5) and 69.75 (2)°. The O—CH2 bonds lie in the plane of the central ring and adopt a syn–anti conformation.
Lijun Xie,Xin Zhai,Jian Zuo,Yanfang Zhao
Acta Crystallographica Section E , 2010, DOI: 10.1107/s1600536810024566
Abstract: In the title compound, C15H23N3O4, the six-membered pyran, cyclohexane and trioxane rings adopt chair, chair and boat conformations, respectively, while the seven-membered rings adopt distorted boat and very distorted chair conformations. In the crystal, adjacent molecules are connected by weak C—H...N and C—H...O interactions.
Involvement of 5-lipoxygenase/cysteinyl leukotriene receptor 1 in rotenone- and MPP+-induced BV2 microglial activation
Wang Yanfang,Zhang Xiaoyan,Li Chengtan,Zhao Jianbo
Molecular Neurodegeneration , 2012, DOI: 10.1186/1750-1326-7-s1-s24
A Data Gathering Algorithm Based on Mobile Agent and Emergent Event-Driven in Cluster-Based WSN
Lingyun Yuan,Xingchao Wang,Jianhou Gan,Yanfang Zhao
Journal of Networks , 2010, DOI: 10.4304/jnw.5.10.1160-1168
Abstract: In order to improve energy efficiency and decrease network delay in wireless sensor network applied to emergent event monitoring, a new data gathering algorithm based on mobile agent and event-driven is proposed for cluster-based wireless sensor network. The process of dynamically clustering the sensor nodes is based on the event severity degree, by which the scale and lifetime of clusters are determined. And a multi-hop virtual cluster is formed between the base station and the cluster heads in which the base station is regarded as its cluster head. The order of nodes visited along the route by mobile agent has a significant impact on the algorithm efficiency and the lifetime for wireless sensor network. In this paper, the next hop in route planning for mobile agents is determined by the residual energy, the path loss and the stimulated intensity. The mobile agents can gather information by traversing all member nodes. The theory analysis and simulation results show that mobile-agent-based model has a better performance in energy consumption and network delay compared to C/S model. And mobile agent is more suitable for wireless sensor network than C/S model in data aggregation. Furthermore, DGMA will provide a more network applied to a large scale emergent event monitoring.
Dynamic Shortest Path Algorithm in Stochastic Traffic Networks Using PSO Based on Fluid Neural Network  [PDF]
Yanfang Deng, Hengqing Tong
Journal of Intelligent Learning Systems and Applications (JILSA) , 2011, DOI: 10.4236/jilsa.2011.31002
Abstract: The shortest path planning issure is critical for dynamic traffic assignment and route guidance in intelligent transportation systems. In this paper, a Particle Swarm Optimization (PSO) algorithm with priority-based encoding scheme based on fluid neural network (FNN) to search for the shortest path in stochastic traffic networks is introduced. The proposed algorithm overcomes the weight coefficient symmetry restrictions of the traditional FNN and disadvantage of easily getting into a local optimum for PSO. Simulation experiments have been carried out on different traffic network topologies consisting of 15-65 nodes and the results showed that the proposed approach can find the optimal path and closer sub-optimal paths with good success ratio. At the same time, the algorithms greatly improve the convergence efficiency of fluid neuron network.
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