Qingqing Su

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Reaching a comprehensive understanding of how nature solves the problem of degrading recalcitrant biomass may eventually allow development of more efficient biorefining processes. Here we interpret genomic and proteomic information generated from a cellulolytic microbial consortium (termed F1RT) enriched from soil. Analyses of reconstructed bacterial draft(More)
A pollution estimating approach by discrete particle swarm optimization with hierarchical structure is proposed in this paper. Discrete particle swarm optimization with hierarchical structure aims to improve the performance of PSO by offering accurate best solution and faster convergence speed. The discrete particle swarm optimization with hierarchical(More)
Prediction of the possibility for the formation of new compounds is an important problem of materials science. In the present study, different computer training methods (support vector machine; algorithm for calculating estimates; voting algorithms based on deadlock tests, logical regularities, and statistically weighted syndromes; linear machine(More)
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