Xiaoguang Yu

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In this chapter, the authors propose to use the grid file to store multi-dimensional data cubes and answer range-sum queries. The grid file is enhanced with a dynamic splitting mechanism to accommodate insertions of data. It overcomes the drawback of the traditional grid file in storing uneven data while enjoying its advantages of simplicity and efficiency.(More)
Using crude oil as the sole carbon source, four indigenous microorganisms with oil degradation, JH250-5, JH250-8, JH250-10, and JH250-12, were isolated from heavy oil polluted soil. The oil degradation rate of JH250-8 was over 90% which was much higher than other strains. 16RNA gene sequencing results showed those four strains are all belong to(More)
In the past few years, there has been a detonation of data in the field of biotechnology. Gene expression microarray experiments produce datasets with numerous missing expression values due to various reasons, e.g. insufficient resolution, image corruption, dust or scratches on the slides, or experimental error during the laboratory process.. To improve(More)
—A novel hybrid meta-heuristic algorithm, entitled as RCPSPGSA, is proposed for solving the resource-constrained project scheduling problem(RCPSP) in this paper. The algorithm incorporates the simulated annealing algorithm (SA) into genetic algorithm in order to improve local searching performance and boost up evolution capability. In each evolution(More)
Two Alkane monooxygenase genes (AlkB), AlkB1 and AlkB2 were cloned from two Acinetobacter strains, JH250-5 and JH250-8, which can degrade oil efficiently. AlkB1 exists in both strains, while AlkB2 exist in JH250-8 only. Bioinformatics analysis results showed that, two AlkB1s were highly homologous in DNA or amino acid sequence, and were very similar in(More)
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