Attenuation of arsenic in karst subterranean stream and analysis of its influence factors: A case study at Lihu subterranean stream,

Innovation is an inevitable way for cities to achieve sustainable development. The occurrence of innovation activities is a complex systemic behavior. Its spatial distribution has some location selection laws, which are the result of interaction and feedback between various spatial influence factors. We explain the impact mechanism from the microscale using a street unit in a city. Hangzhou was selected as a case study. First, we systematically selected factors influencing the spatial distribution of innovation activities as the independent variable based on the demands of innovation subjects. Patents were used as the dependent variable to represent the spatial distribution of innovation activities. Second, ensemble algorithms (Boosting) were used to analyze the influence contribution of independent variables to dependent variables. Then, based on the aspects of innovation driving force, which are innovation resources and innovation environments, relevant factors were divided into the following seven categories: innovation industry concentration, knowledge intensity, innovative talent resources, service facilities, external transportation convenience, public transportation convenience, and ecological environment. We interpreted the impact mechanism and made corresponding suggestions for urban innovation space planning.

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The Application of GIS in Analysis of Gross Agricultural Production: A Case Study of Hainan Island, China

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.864-867.2825 ◽

2013 ◽

Vol 864-867 ◽

pp. 2825-2829

Author(s):

Zhen Mu Cao ◽

Zi Ji Liu ◽

Deng Feng Wang

Keyword(s):

Spatial Distribution ◽

Agricultural Production ◽

Influence Factors ◽

Hainan Island ◽

The Sustainable Development ◽

Agricultural Growth ◽

Agricultural Planning ◽

Agricultural Structure ◽

Sown Area

To explore the distribution of gross agricultural production (GPA) is significant to the sustainable development of tropical agricultural growth. Taking Hainan Island as the study area, the spatial distribution and influence factors of GPA were elucidated by applying the GIS spatial analysis tools and factor analysis. The results showed that the distribution of Hainan GAP was uneven. The uneven distribution of GAP in counties was mainly caused by the variation of agricultural structure. The GPA was mainly determined by SAV, NEPA, and SAG. The distribution characters of Factor 1 was similar with the distribution of GAP in study area, and some agricultural planning can be made to improve the GAP of middle Hainan area, ie, increasing the sown area of vegetables and labor force input.

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The Influence Factors of the Innovation Adoption Behavior of Customer Website (Case Study: Student State University)

Advanced Science Letters ◽

10.1166/asl.2015.5984 ◽

2015 ◽

Vol 21 (4) ◽

pp. 1060-1063

Author(s):

Enggal Sriwardiningsih

Keyword(s):

User Satisfaction ◽

Influence Factors ◽

Partial Least Square ◽

Least Square ◽

State University ◽

Service Adoption ◽

Sample Data ◽

Internet Literacy ◽

Study Student

The college gives students a website’s service. So, this research focuses on the variables that can influence the behavior of website service adoption. This research has predicted variable interactive website service, motivation to use website, internet literacy, user satisfaction influenced on the behavior of website service. In other hand, user satisfaction was not only as exogenous variable but also as a mediating variable between other exogenous variables and endogenous variable. This research establishes seven hypotheses and analyzed by Partial Least Square Model Structure. The results of the analysis proved five hypotheses were significant to predict and to confirm the theory, while two hypotheses were not significant for predict theory. The analytical tool used is Wrap PLS 3.0 and sample data used is 317 students.

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A Settlement Compensation Method for Design of Settlement Controlled Piled Raft Foundations under Vertical Loadings

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.204-208.857 ◽

2012 ◽

Vol 204-208 ◽

pp. 857-864

Author(s):

Cheng Hua Wang ◽

Jun Nan Cao ◽

Liang Liang Zhao

Keyword(s):

Influence Factors ◽

Compensation Method ◽

Element Analysis ◽

Basic Principles ◽

Piled Raft ◽

Building Foundation ◽

Simplified Method ◽

Settlement Analysis ◽

Raft Foundations

In order to analyze the behavior of piled raft foundations under vertical loadings, a simplified method called settlement compensation method (SCM) is proposed based on the basic principles in the code for design of building foundation of China. The effect of several influence factors of the SCM was investigated through an exemplar case. The applicability and accuracy of SCM was checked theoretically with a finite element analysis, and verified practically through a case study in which the results of settlement analysis of other methods were included for comparison.

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