Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yu Jing Xie"'
Publikováno v:
Comparative biochemistry and physiology. Part B, Biochemistrymolecular biology. 259
Fatty acid-binding protein (Fabp)-4 is a member of the FABP family. Mammalian fabp4 has been demonstrated to involve in inflammation and immunity, whereas the related data of fish fabp4 remain limited. Therefore, we further investigated the effects o
Publikováno v:
Ying yong sheng tai xue bao = The journal of applied ecology. 31(6)
Understanding the response of water quality in lake to landscape pattern at different spatial scales in agricultural watershed is of great significance to water quality management. In this study, we classified seven riparian buffer zones of lakeside
Publikováno v:
Applied Geography. 42:1-12
This paper examines the integration of landscape connectivity and ecosystem services. It is based on the assumption that if a habitat within a landscape has a more significant role in connecting with other habitats, it would have a higher ecosystem s
Autor:
CN Ng, Yu Jing Xie
Publikováno v:
Applied Geography. 39:140-150
Understanding the mechanisms that underlie habitat loss is fundamental to nature conservation. Habitat loss and its related factors are location dependent, but their spatial variations across geographical space are poorly understood. This research at
Publikováno v:
Landscape and Urban Planning. 103:44-54
With the expansion of human activities, human-dominated land cover conversion has become the most prominent cause of habitat fragmentation. Urbanization is currently one of the most significant factors driving land conversion and causing habitat frag
Publikováno v:
Pure and Applied Geophysics. 169:1037-1052
Intensive field experiments focused on fog chemistry were carried out in the northern suburb of Nanjing during the winters of 2006 and 2007. Thirty-seven fog water samples were collected in nine fog events. Based on the chemical analysis results of t
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
Rough concept lattice (RCL) is a new concept lattice, which can deal with uncertainty knowledge. It is an effective tool for data analysis and knowledge discovery. But some objects that in upper approximation extent of RCL are so uncertainty that mak
Publikováno v:
2009 International Conference on Machine Learning & Cybernetics; 2009, p145-148, 4p