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Fang Tu

Publications and source records attributed to Fang Tu.

2 recordsLinked to original sources
PubMed2005

Effects of selenium stress on photosynthetic pigment contents and growth of Chlorella vulgaris.

Changes in photosynthetic pigment and protein contents, growth and the spectral characteristics in Chlorella vulgaris in response to selenium stress were investigated. Carotenoids (beta-carotene and xanthophylls) and chlorophyll (Chl a and Chl b) contents in cells exposed to Se 50 mg/L increased primarily and decreased afterwards, while photosynthetic pigments in cells exposed to Se 800 mg/L decreased significantly. Chlorophyll (Chl) absorption peak at 693 nm and prominent Chl emission peak at 700 nm, weakened significantly after Se stress. The excitation spectra showed a decrease in excitation energy transfer efficiency in Se-stressed cells. Total soluble protein decreased after Se stress. The changes in total Se, Mg(2+), Ca(2+), K(+) and Na(+) concentrations in culture medium and cells were also determined by ICP-AES.

Calcium↗
PubMed2004

On a multimode test sequencing problem.

Test sequencing is a binary identification problem wherein one needs to develop a minimal expected cost test procedure to determine which one of a finite number of possible failure states, if any, is present. In this paper, we consider a multimode test sequencing (MMTS) problem, in which tests are distributed among multiple modes and additional transition costs will be incurred if a test sequence involves mode changes. The multimode test sequencing problem can be solved optimally via dynamic programming or AND/OR graph search methods. However, for large systems, the associated computation with dynamic programming or AND/OR graph search methods is substantial due to the rapidly increasing number of OR nodes (denoting ambiguity states and current modes) and AND nodes (denoting next modes and tests) in the search graph. In order to overcome the computational explosion, we propose to apply three heuristic algorithms based on information gain: information gain heuristic (IG), mode capability evaluation (MC), and mode capability evaluation with limited exploration of depth and degree of mode Isolation (MCLEI). We also propose to apply rollout strategies, which are guaranteed to improve the performance of heuristics, as long as the heuristics are sequentially improving. We show computational results, which suggest that the information-heuristic based rollout policies are significantly better than traditional information gain heuristic. We also show that among the three information heuristics proposed, MCLEI achieves the best tradeoff between optimality and computational complexity.

Algorithms↗