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Mo-V-Nb tri-component oxide catalysts were prepared and firstly used for the selective oxidation of Cα-OH lignin compounds. The catalytic performance of the composite oxides was obviously enhanced due to the synergistic effects of Mo and V elements. Mo5-xVxO14phase with a variable Mo/V ratio provided suitable active sites for the oxidative dehydrogenation (ODH) of Cα-OH lignin model compound. The optimized Mo-V-Nb molar composition was confirmed as Mo0.61V0.31Nb0.08Ox/TiO2, which exhibited the prominent catalytic activity with the turnover frequency of 1.04×10-3mmol·g(cat)-1·s-1. Even at room temperature, the catalysts showed highly-efficient ODH reaction activities. The active phase for selective oxidation reaction and the inhibiting effect of α-MoO3phase were also discussed in the study.

G-protein coupled receptors (GPCRs) are involved in various physiological processes. Therefore, classification of amine type GPCRs is important for proper understanding of their functions. Though some effective methods have been developed, it still remains unknown how many and which features are essential for this task. Empirical studies show that feature selection might address this problem and provide us with some biologically useful knowledge. In this paper, a feature selection technique is introduced to identify those relevant features of proteins which are potentially important for the prediction of amine type GPCRs. The selected features are finally accepted to characterize proteins in a more compact form. High prediction accuracy is observed on two data sets with different sequence similarity by 5-fold cross-validation test. The comparison with a previous method demonstrates the efficiency and effectiveness of the proposed method.