Bicomponent fiber is a specific type of synthetic fibers with two different properties of polymers joined together in the same filament during spinning process. Bicomponent fibers have distinctive properties from monocomponent fibers. The properties of fibers are outcomes of type of cross section properties of composed polymers fiber spinning process condition and after-treatment process. The primary applications of bicomponent fibers are self-crimping (or self-bulkiness) fibers thermal binder fibers microfibers and special property fibers which can be added into the shealth of fiber. The fiber processing types and applications of bicomponent fibers are summerised and stated in this paper.

This applied research want to study the factors affecting the student‘ learning achievement instudying Data Structure and Algorithm. The samples were selected by stratified random sampling 93 students from 121 students who studied in semester 2/2009 by using questionnaire. The statistics used were descriptive statisticst-testOne way ANOVAPearson correlation and multiple regression at the significance level of 0.05. The findings revealed that the mean of grade point average was 2.69 their average midterm scores were 22.47 out of 35. The successful were grade point averagefair expectation of knowledgeand future application.The factors affecting student’s achievementwere basic knowledge of programmingmidterm scores studied resource and facilities. In addition the 2 year programme’ average midterm scores were higher than the 4 year programme ranging from 1.11 to 5.34 at the significance level of 0.05. The forecasting equation for learning achievement is

Thailand is on the way toward ASEAN Economic Community or AEC in the year 2015. The AEC aims to create one-solid base for production and distribution and concurrently seek mutual economical profits. A kind of business that may allow Thai entrepreneur to survive more easily in ASEAN is the selling and purchasing of goods and services via internet or ‘E-commerce’. The objective of this research is to study the factors that influence the development of E-commerce that will facilitate Thai entrepreneur when we enter AEC. The samples of our study are the group of E-commerce’s entrepreneurs who legitimately registered with Department of Business Development. Our research revealed that the major factors that influence the development of E-commerce is the knowledge in foreign language which is considered to be the source of major advantage for business with average at 3.9750. Follow by the opening of free trade area which will cause more obstacles in term of the increasing number of competitor with average at 3.8475. The lease is population’s preference that would directly affect business’s revenue with average at 3.7450.