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Molybdenum vanadate is a novel vanadate. It is a functional material with good magnetic, electrical and catalytic properties. However, it is rarely used in the selective catalytic oxidation field, while the transition metal molybdenum and vanadium are usually used as a catalytic oxidation catalyst, the complex oxide and salt are naturally concerned. The structure of high-quality single crystalline Molybdenum vanadate (V 3.6 Mo 2.4 O 16) nanorods was synthesised by sol-gel method and high-temperature solid-state reaction. The effects of vanadium and molybdenum molar ratio and calcination temperature on the preparation of V 3.6 Mo 2.4 O 16 were studied. The structure of the catalyst was characterised by X-ray diffraction, thermogravimetry, X-ray photoelectron spectroscopy, scanning electron microscope and transmission electron microscope. The experimental results show that the molar ratio of vanadium-molybdenum is 10:7 when the precursor calcination temperature is 540°C, the single crystalline V 3.6 Mo 2.4 O 16 nanorods with regular shape has been obtained, the diameter of about 200 nm and the length up to tens of micrometres and the surface is smooth. Catalytic oxidation of toluene to benzaldehyde is used as a probe reaction for nanoV 3.6 Mo 2.4 O 16. The catalytic activity of the catalyst is good, the conversion of toluene is 39.8% and the selectivity of benzaldehyde is 70.1%.

Expensive special equipments are often employed to evaluate the performance of low voltage battery, because of the loss voltage of test terminal and line. In the present paper, an economic method was proposed to evaluate fuel cell performance using the booster power supply and electronic load with remote sense. The testing method was deduced theoretically and applied to study the performance of the direct methanol fuel cell . According to the results, it was found that the method was economic applicable and feasible.

Catalyst Cu/Ti-PILCs were used for selective catalytic reduction of NO by propylene. The effect of calcinations temperature of Cu/PILCs on catalytic activity, pore structure and active species were investigated. Cu/Ti-PILCs calcined at 500°C had best activity. On 500°C-calcined catalyst, the Cu species was highly-dispersed and existed mainly as Cu2＋species which was the catalytic active component to SCR reaction. The pore structure of Cu/Ti-PILCs had good thermal stability below 600°C calcinations. 700°C-calcined catalyst has poor catalytic activity. High-temperature calcinations destroyed the catalyst’s pore structure, and formed CuO bulky aggregation which had no catalytic activity, all these led to the decrease of the SBET of catalysts and the drop of catalytic activity.

Personalized recommendation based on bipartite network has attracted more and more attention. Its obviously better than CF (Collaborative Filtering). In this paper, we propose a multi-dimensional recommendation algorithm called BNPM. It combines item-based, user-based and category-based recommendation model to improve recommendation quality. The experimental results show that the algorithm can improve the diversity and reduce the popularity on the base of holding the accuracy of the recommendation