Tiancheng Zhang

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Correlation analysis is a basic problem in the field of data stream mining. Typical approaches add sliding window to data streams to get the recent results, but the window length defined by users is always fixed which is not suitable for the changing stream environment. We propose a Boolean representation based data-adaptive method for correlation analysis(More)
BACKGROUND Botulinum neurotoxins (BoNTs), the causative agents for life-threatening human disease botulism, have been recognized as biological warfare agents. Monoclonal antibody (mAb) therapeutics hold considerable promise as BoNT therapeutics, but the potencies of mAbs against BoNTs are usually less than that of polyclonal antibodies (or oligoclonal(More)
—Radio Frequency Identification (RFID) has been playing more and more important roles in domains such as supply chain management, commodity retail and health custody. RFID data can support functions such as object location, object tracking and trajectory analysis. However, at some point, to deploy many RFID devices into a real application scenario would be(More)
The eukaryotic F-box protein family is characterized by an F-box motif that has been shown to be critical for the controlled degradation of regulatory proteins. We identified a gene encoding an F-box protein from a cDNA library of silkworm pupae, which has an ORF of 1821 bp, encoding a predicted 606 amino acids. Bioinformatic analysis on the amino acid(More)
Intelligent agent technology has evolved rapidly over the past few years along with the growing number of agent applications in various domains. However, very little work has been dedicated to define quality metrics for the design of an agent-based system. Previous efforts mostly focus on adopting classical metrics such as coupling and cohesion to measure(More)