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The degree of epitope density has been shown to be a critical factor influencing the magnitude of epitope-specific responses. However, whether high epitope density in just a single protein molecule can still enhance the humoral response or, more importantly, the protective immunity, has not been determined. To test this, five glutathione-S-transferase(More)
— The previous studies have shown inconsistent relationship between the valence (positive or negative) of online consumer reviews and consumer decision making. With accessibility/diagnosticity theory, this study attempts to explain this discrepancy through exploring consumer expertise as a moderator. Our results from a 2 * 2 experiment design indicate that(More)
Data stream has attracted many researchers from various communities (network, database and data mining). There are a variety of techniques for solving the similarity matching in time series datasets. However, subsequence matching over data stream, finding those subsequences which are similar to a query sequence in a progressive and real-time fashion, is a(More)
Human computer interface (HCI) in pervasive computing environment (PvCE) faces many kinds of devices and different user preferences. To create user interfaces for every device and user preference traditionally in each user interaction is unacceptable, especially when the user interface have to be generated dynamically. This paper proposes a so-called type(More)
We propose the use of "event driven scheme" by "event driven reader" as a way of using RFID technology in warehouse management. The conventional way of using RFID technology in warehouse management is the "busy waiting scheme". The "busy waiting scheme" processes much unnecessary information to support warehouse management, so although it is easy, it is not(More)
Pseudorandom Sequences have been widely used in many areas such as telecommunication, cryptology, navigation and radar. m-sequence is one of desirable pseudorandom sequences. By utilizing the feedback functions of m-Sequences, a new method of constructing the feedback function of the nonlinear maximal length shift registers is presented. The feedback(More)
Two types of errors of "rejecting true and accepting false" are inevitable in customer value segmentation. The traditional data mining method which is on the total accuracy rate can not reflect the influence caused by the great difference of misclassification costs and unbalanced quantity distribution of customers who have various values. The thesis(More)
Segmentations of customers gained in one area could not be used to predict customers' characteristics in other areas, because regional influences on customers were different. This paper proposed a self-organizing map framework to get regional segmentations of customers. In order to verify the validity of this framework, it was applied to the credit card(More)