this study was organized to investigate the effects of domestic and industrial effluents on lighvan chai water quality using macroinvertebrates community and the concentration of nitrat and phosphate. based on persampling results, seven sampling site were selected. aamples were collected in april, may and june 2010. seventeen families of macrobentics were found in lighvan chai river and siimoli...

Xiao-Chai-Hu-Tang is a blended traditional oriental medicine, which consists of seven crude extracts of Bzipleuri radix, Pinetliae ttiber, SZuteltariae r dix, Ziz.yPhi .frticttts, Ginseng radix, Glycvrrhizae radix and Zingiberis rhiaoma. It has been reported (1, 17, 29) that Xiao-Chai-Hu-Tang has many pharmacologic efli2cts including anti-inflammatory action, anti-allergic action, immunoactivat...

One of the most important hydrological time series task is to determine if there is any trend in the data and how to achieve stationarity when there is nonstationarity behavior in data. Detecting trend and stationarity in hydrological time series may help us to understand the possible links between hydrological processes and global climate changes. In this study yearly, monthly and daily stream...

The purpose of this paper is to explore the relationship between case and free word order in Korean by providing proper LP constraints which solve the problems of the previous analyses such as Kuno's (1980) Crossing-Over Constraint (COC). Based on Cho & Chai (2000), we introduce a new type marker which includes case, postpositions, and delimiters. We also add the Adjunct LP Constraint and the A...

Many have investigated the sensitivity of face processing to both spatial frequencies and face orientation, but few have researched the sensitivity of face processing to the orientation of spatial frequencies. One recent exception has been Yu, Chai, & Chung (2011), which investigated facial expression recognition in regards to the orientation of spatial filters and showed that most information ...

one of the most important hydrological time series task is to determine if there is any trend in the data and how to achieve stationarity when there is nonstationarity behavior in data. detecting trend and stationarity in hydrological time series may help us to understand the possible links between hydrological processes and global climate changes. in this study yearly, monthly and daily stream...