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For different populations, the association studies between the beta-2 adrenergic receptor (ADRB2) Arg16Gly mutation and asthma are conflict. This study was designated to evaluate ADRB2 Arg16Gly polymorphism and asthma in Chinese population. Systemic assessment was performed based on the data from PubMed, Embase, Web of Science, the Cochrane Library, and Chinese National Knowledge Infrastructure (CNKI) up to January 2019. Odds ratios (ORs) with their 95% confidence intervals (95% CIs) were calculated using STATA software. This meta-analysis included 6143 asthma patients and 5919 healthy persons from 34 studies. Overall, ADRB2 Arg16Gly polymorphism showed no significant influence on asthma in China. However, subgroup analyses according to geographic areas, age group and HWE in controls, only found a borderline significant effect for southern Chinese under the homozygotes genetic model (OR = 0.82, 95%CI = 0.68-1.00, P = 0.046). This meta-analysis suggests that ADRB2 Arg16Gly polymorphism is not be related to the development of asthma in China.

An approach to the recognition of airport runways in SAR imagery was presented. According to the trait of the SAR imagery, firstly some kinds of methods in correlative yawp control were compared to each other, and then based on the interpretation analysis of airport runways in SAR imagery, the lines were detected ,the image was repaired and the redundant lines were got rid of according to themorphologic operation and confidence level ,the runways were detected finally .Many experiments show that the method can recognize the runways exactly and quickly in SAR imagery.

A novel fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) is proposed, according to the characteristics of infrared and visible images. Firstly, the registered infrared and visible images from the same scene were transformed by NSCT transforms; then the low frequency coefficient is fused by the combination of local energy and normalised correlation matrix, the high frequency coefficient fusion is fused by regional energy matching with regional variance; finally, the target image is obtained by performing inverse NSCT transforms. experimental results indicate that the proposed algorithm can effectively get more detail information and the fusion performance is dramatically better than traditional fusion methods.

Against the defects that the favoritism method and average method in the multi-sensor image fusion are apt to impair the image contrast, an image fusion algorithm based on NSCT is proposed. Firstly, this algorithm applied NSCT to the rectified multi-sensor images from the same scene, then different fusion strategies were adopted to fuse the low-frequency and high-frequency directional sub-band coefficients respectively: regional energy adaptive weighted method was used for low-frequency sub-band coefficient; the directional sub-band coefficient adopted a regional-energy-matching program that combined weighted average method and selection method. Finally, the fusion image was obtained by NSCT inverse transformation. Experiments were conducted to IR and visible light image and multi-focus image respectively. And the fusion image was evaluated objectively. The experimental results show that the fusion image obtained through this algorithm has better subjective visual effects and objective quantitative indicators. It is also superior to the traditional fusion method.

By comparing several typical multi-objective decision-making methods, an ideal objective method is proposed, which combines Similarity to Ideal Solution Method and Analytic Hierarchy Process (AHP). After validation, this ideal objective method is both scientific and accurate in the process of target key decision.