Earticle

As an area always contains varies of tree spices or forest types, therefore, when using biomass estimation model based on single tree or forest stand to estimate regional biomass, the modeling workload is big, and the existing models do not adequately reflect the factors that influence the biomass. Aiming at the problems above, this paper proposes a regional forest tree layer biomass estimation method based on clustering analysis, using the forest resources survey data of the study area as the research object, using principal component analysis to extract characteristic factors from 17 indexes, using the improved K-means algorithm to clustering the forest subcompartment, and using support vector regression algorithm to separately build the biomass estimation model based on clusters. The results show that 8 principal components can reflect over 80% information of the original data; the subcompartment of the study area can be divided into 6 classes, the coefficients of each model are ranging from 0.7 to 0.92, the average relative error absolute values of each model are ranging from 11.173% to 23.583%, this method has got a satisfactory accuracy, which can provide a new way for regional biomass estimation.

This paper presents the result of a quantitative meta-analysis on Web 2.0-based L2 instruction in the Korean EFL context. To synthesize these research results, 9 studies and 48 individual experimental research results were collected through an electronic database and analyzed by meta-analysis software, Comprehensive Meta-Analysis. Average effect size of Web 2.0-based studies is .347, which means that Web 2.0-based L2 instruction has a relatively small effect.

The emergency often has the characteristics of explosiveness and population diffusion. It is easy to lead to the creation of the public crisis. Once the emergency occurs, it often produces the negative influence on the supply chain which is well-designed and running well. And even it leads to paralysis of the supply chain. To respond to the emergency, we need the effective emergency management of the supply chain to ensure the unblocked of the supply chain. In this paper, we establish the evaluation system for the response capacity of the supply chain in emergency according to analyzing the response capacity of the supply chain in emergency. Then we put forward a new TOPSIS method which is based on the relative coefficient. This method can express the preference of the experts better. At the same time, this method considers the advantages and disadvantages of the decision scheme. We use the method to evaluate the response capacity of the supply chain in emergency. The experimental results show that the method is feasible and effective.

Crime prevention activities that take place in the physical environment, such as police patrolling, can work effectively when they are combined with intelligent detection that uses information technology (IT). Many different real-world factors must be considered when implementing intelligent detection methods. In risky real-world situations, fixed factors, static factors, and a variety of dynamic factors all play important roles. This study aimed to determine the variable factors involved in risky situations by performing an analysis on data from specific crime incidents. Factors related to the occurrence of the specific crime were determined and risk of occurrence was calculated using these factors with a multi-factor convergence scheme. The analysis and risk calculation performed in this study are expected to contribute to the development of a more efficient and intellectualized prevention service, as these can help provide information about real-time risk levels for particular public safety situations.

This paper constructs the public cultural service level evaluation index system. And considered with the advantages and disadvantages of AHP method and principal component analysis (pca), the index system is combination weighted by multiplicative integration weighting method. It may overcome the defect of subjective and objective weight of empowerment. Furthermore, the level of public cultural services of 31 provinces, cities and autonomous regions are evaluated with the method of comprehensive evaluation. Therefore, conclusion is that the overall level of public cultural services level is not high, the services are irrelevant to the development of the economy, and there are gaps in various areas.

Currently, different types of revetment are installed in urban stream and various revetment methods are developed to improve the resistance to flow in order to reduce damage against flood. Especially, an eco-friendly revetment structure has a structural vulnerability against flood; however there are several theoretical and experimental technical issues to improve structural capacity. This research used computational program, ANSYS Fluent CFD, in order to evaluate the stability of ecological revetment, where stone mattress and vegetation mound are applied to protect in an extreme flood. In the result of numerical simulation, the velocity was decreased comparing to the central area of channel around the vegetation mound located at the bottom of stone mattress. The stable flow section at the downstream of stone mattress shows different according to the flow condition. If the vegetation mound is located at a section having minimum flow velocity, the erosion damage will be minimized.

With the role which opinion leader plays in e-WOM(word of mouth) generation and communication comes more and more important, its influence on online consumer purchase intension become a hot issue for industry and academics. Based on the concept model constructed and scale designed in our previous studies, a questionnaire is used in this paper for data collection. Then, structural equation model is adopted for fitting and path analysis, and found that: In all 14 hypotheses, 9 of them have significant positive correlation, which verified that variants including professional knowledge, product involvement, interactive, functional value, emotional value influence purchase intension virtually via trust. And at the same time, professional, product involvement and visual clue impact purchase intension directly. Moreover, homophily has positive moderating effect on correlation between professional knowledge and purchase intension, as well as in the relationship of product involvement and purchase intension.

Raw material supply and trade changes are the main factors influencing the development of furniture manufacturing in Heilongjiang Province, China. In view of the dynamic association between indicators, wood processing is considered an essential raw material for furniture production, while import-export volumes indicate the changes in demand for furniture. When the Granger causality tests between indicators are performed, they suggest that wood processing has an obvious influence on furniture manufacturing. Through the Vector Auto-Regression model and the impulse response function, it is found that the interaction between wood processing and furniture making is strong. The relationship between furniture making and furniture import and export produces an expanding driving role or inhibiting effect, due to the uncertainty of import-export supply and demand. Finally, suggestions on promoting stable growth of Heilongjiang furniture making are proposed according to the analysis of the results.