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One new phenylpropanoid schineolignin D (1), one new sesquiterpene (−)‐(7S,10S)‐3,11,12,13‐tetrahydroxycalamenene (2), one new quinic acid 4‐(E)‐O‐coumaroylquinic acid ethyl ester (3), and seven known compounds 4–10 were separated from the roots of Schisandra chinensis. The chemical structures of all compounds were characterized by NMR spectroscopic experiments. All compounds were assessed for their neuroprotective effects on PC12 cell lines induced by H2O2. Compounds 1, 3–4, and 7 showed statistically significant neuroprotective activities with the negative control group at 12.5 μM.

With the progress in science and technology, the dynamic security, the reliability, the accuracy and the stability of delay composition in complicated condition attracts more and more attentions. Traditional delay composition can not meet our requirements of the reliability and security. Its the first time carbon nanotubes (CNTs) with high heat conductivity and high intensity are added into the system of Tungsten type delay composition and boron type delay composition. CNTs were mixed into W and B by ball-milling method. Particle size analysis and transmission electron microscopy (TEM) are utilized to analyse the size structure and dispersity of W/ CNTs and B/ CNTs. Optimum conditions of preparing W/CNTs and B/CNTs were found to apply to fuel agent of delay composition. In addition, burning rate and delay precision of the four delay charges (BaCrO4/W, BaCrO4/W/CNTs,BaCrO4/B and BaCrO4/B/CNTs delay compositions) were reseached. Results show that delay compositions added to CNTs had higher burning rate and better delay precision than original delay charges (burning rate of BaCrO4/W/CNTs was as much as 3-4 times higher than that of BaCrO4/W under the same constraints. Meanwhile, burning rate of BaCrO4/B/CNTs is 2 times higher than that of BaCrO4/B). Especially, the ignition reliability of charges added to CNTs were improved while charge density exceeds about 6000 Kg/m3. So the addition of certain amount of CNTs in the delay compositions can obviously increase the burning rate and the ignition reliability of delay compositions.

In this paper we applied the DEA model to the performance evaluation of the agriculture and forestry biomass energy companies. By constructing the corresponding evaluation model and index system, we conducted an empirical analysis with the dates of 8 companies from 2009 to 2012. The results state that the technical efficiency of the companies is low when compared with other industries and though many companies are under the condition of input slacks, their production efficiency still grew incrementally. Finally, this paper put forward countermeasures and suggestions for promoting the development of forestry biomass energy listed companies.