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In this paper, we focus on efficient keyword query processing for XML data based on the SLCA and ELCA semantics. We propose a novel form of inverted lists for keywords which include IDs of nodes that directly or indirectly contain a given keyword. We propose a family of efficient algorithms that are based on the set intersection operation for both(More)
Scutellariae radix (SR, from the roots of Scutellaria baicalensis Georgi) is thought to regulate blood pressure. In this study, HPLC-based purification coupled with MS, NMR analysis revealed that baicalin, a major flavone in SR, stimulates endothelial NO generation, suggesting its potential as an ingredient in medicinal food and beverage to treat(More)
Vehicle trajectories are one of the most important data in location-based services. The quality of trajectories directly affects the services. However, in the real applications, trajectory data are not always sampled densely. In this paper, we study the problem of recovering the entire route between two distant consecutive locations in a trajectory. Most(More)
Natural enemies have long been used in biological control programs to mitigate the damage caused by herbivory. Many herbivorous insect species also act as plant virus vectors, enabling virus transmission from plant to plant and hence disease development in a plant population. Whilst an intuitive assumption would be to expect a decrease in vector numbers to(More)
Efficiently answering XML keyword queries has attracted much research effort in the last decade. One key factors resulting in the inefficiency of existing methods are the common-ancestor-repetition (CAR) and visiting-useless-nodes (VUN) problems. In this paper, we propose a generic top-down processing strategy to answer a given keyword query w.r.t.(More)
Instead of using a single large aperture antenna to implement track and commute with spatial targets, array-based receiving architecture is quickly becoming an attractive approach due to its low cost, flexibility and robustness. In this paper, we consider a scene in which multiple receiving sensors are randomly distributed. Two co-channel signals from(More)
Prediction of protein function is one of the most challenging problems in the post-genomic era. In this paper, we propose a novel algorithm Improved ProteinRank (IPR) for protein function prediction, which is based on the search engine technology and the preferential attachment criteria. In addition, an improved algorithm IPRW is developed from IPR to be(More)