XML Query Based on Indexed Sequential Table

The current study based on XML index and query mostly focuses on encoding and the structural relation. Region codings are widely used to improve XML query. In this paper postorder-traversal region coding is proposed. The postorder of a node’s all descendants consists of the region. Judging and ensuring structural relation of any two nodes just depend on this region, if the postorder of a node is in a region, ancestor/descendant structural relation can be ensured. Consequently, postorder-traversal region coding can effectively judge structural relation and avoid traversing the XML document tree. Based on region coding, many constructive structural query algorithms have been put forward. As we all know that Stack-Tree-Desc algorithm is one of these fine algorithms, AList and DList only need separately scan one time to judge structural relation, however some unnecessary nodes still be scanned. In order to solve this problem, Indexed Sequential Table algorithm is introduced. The optimized algorithm introduces Indexed Sequential Table to avoid scanning unwanted nodes when the two lists join to locate next node which participates in structural join. In this case, some nodes of AList and DList which don’t participate in structural joins can be jumped, the query efficiency is enhanced. As a result, ordered scanning is prevented, the consuming time of XML query shortens accordingly. Experiment results demonstrate the effectiveness of the improved coding and algorithm.

Improvement of an Unusual Twin-Arginine Transporter Leader Peptide by a Codon-Based Randomization Approach

ABSTRACT Secretion of Escherichia coli penicillin acylase was improved by codon-based random mutagenesis of its signal peptide. The mutagenesis technology was applied to the gene region coding for positions Lys2 to Thr13 (N half) and Ala14 to Leu25 (C half) of the signal peptide. Protein secretion was higher in several signal peptide variants (up to fourfold with respect to the wild-type value).