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A Gram-staining-negative, yellow-coloured, strictly aerobic, non-spore-forming, rod-shaped bacterium, designated HS39 T , isolated from a soil sample collected from a natural Populus euphratica forest in Xinjiang, China, was characterized using a polyphasic approach. The isolate grew optimally at 30-37 6C, at pH 6.5-8.0 and with 0-3 % NaCl. Analysis of the 16S rRNA gene sequence of strain HS39T revealed that it is a member of the genus Sphingobacterium.Sphingobacterium mizutaii ATCC 33299 T was the nearest relative (94.0 % 16S rRNA gene sequence similarity). The G+C content of the genomic DNA was 40.2 mol%. The major fatty acids were iso-C 15 : 0 , iso-C 17 : 0 3-OH and summed feature 3 (comprising C 16 : 1 v6c and/or C 16 : 1 v7c). The predominant isoprenoid quinone was MK-7. On the basis of phenotypic properties and phylogenetic inference, strain HS39 T represents a novel species of the genus Sphingobacterium, for which the name Sphingobacterium shayense sp. nov. is proposed. The type strain is HS39 T (5CCTCC AB 209006 T 5NRRL B-59203 T ).

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In development of the automobile industry, lightweight and safety performance are contradictory, yet they are of great significance.The optimization process of auto parts is a high-dimensional optimization problem which has a variety of regulations limits and safety tests at the same time. In order to address this issue, hierarchical multi-objective optimization of a passenger car seat frame is carried out in this research. Different from previous researches, in this paper, all car seat frame parts are listed as the optimization objects and are given different optimized attributes. Meanwhile, in order to achieve the goal of effectively reducing the sample sizes of the design of experiments, hierarchical optimization is proposed, and the optimization process is divided into three stages. In each stage, components with different optimized attributes are introduced into various safety tests and then conducting design of experiments. On the other hand, through adopting the grey fuzzy logic system to assign the appropriate optimized grade, the optimization process is simplified and the errors caused by the manual selection or unified optimization levels are avoided. The proposed method is considered to be an universal approach to solve the lightweight optimization of the auto parts. Design parameters of the car seat frame before and after the hierarchical multi-objective optimization are compared, it illustrated that total mass and material cost of the seat frame are reduced by 2.3kg (28.5%) and 13.8 (32.4%) respectively. Moreover, various comparisons are carried out to verify the validity of the optimization method proposed in this paper. In conclusion, the proposed method is quite promising yet with less sample points associated, is an effective mean to solve the multi-objective optimization problems of automobile component. INDEX TERMSAutomobile seat frame lightweight, hierarchical multi-objective optimization, adaptive design of experiments, grey fuzzy logic system.