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BACKGROUND Clostridium acetobutylicum fermentations are promising for production of commodity chemicals from heterogeneous biomass due to the wide range of substrates the organism can metabolize. Much work has been done to elucidate the pathways for utilization of aldoses, but little is known about metabolism of more oxidized substrates. Two oxidized hexose(More)
—This paper presents an method of self-calibration of varying internal camera parameters that based on quasi-affine reconstruction. In a stratified approach to self-calibration, a projective reconstruction is obtained first and this is successively refined first to an affine and then to a Euclidean reconstruction. It has been observed that the difficult(More)
Keywords: Disaster-forming environments Flood disasters Snow disasters Canonical correlation analysis Spatial autocorrelation analysis a b s t r a c t Flood disasters and snow disasters are frequent disasters in China, causing considerable economic loss and serious damage to towns and farms. The problems of how these two disaster types distribute and what(More)
The losses caused by natural disasters are increasing, especially in 21st century, the security and the losses increased. Responding natural disasters and reducing losses become an urgent task which facing all of humanity. The paper will propose an allocation method of relief materials for pre-disasters and a shortest-time and potential-considered(More)
Clostridium acetobutylicum's metabolic pathways have been studied for decades due to its metabolic diversity and industrial value, yet many details of its metabolism continue to emerge. The flux through the recently discovered pentose phosphoketolase pathway (PKP) in C. acetobutylicum has been determined for growth on xylose but transcriptional analysis(More)
—Drought is one major nature disasters in the world and also in China. Drought can affect large areas and cause great economic loss in China every year. In this paper, three drought monitoring models, such as Vegetation Supply Water Index (VSWI), Temperature Vegetation Dryness Index (TVDI) and Cloud Parameters Method (CPM), based on multi-source remote(More)
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