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The research aims to evaluate effects of the Tai Chi exercise therapy on glucose and lipid metabolism in patients with type 2 diabetes mellitus (T2DM).Systematic review and meta-analysis of existing literature were undertaken.Seven electronic resource databases were scanned to collect eligible studies. Two reviewers selected studies, the meta-analysis was performed with RevMan 5.3 after quality evaluation.Nineteen RCT trails involved in 18 reports were included in the meta-analysis, involving 1220 research objects. The results show that the Tai Chi exercise group is better than the control group in decreasing fasting blood glucose (FBG) (MD = - 0.79, 95 %CI (- 1.73, - 0.68), p 0.0001), glycated hemoglobin (HbA1c) (MD = - 1.10, 95 % CI (- 1.78, - 0.43), p = 0.001), triglyceride (TG) (MD = - 0.23, 95 % CI (- 0.32, - 0.15), p 0.0001) and in increasing the concentration of high-density lipoprotein cholesterol (HDL-C) (MD = 0.15, 95 % CI (0.11, 0.20), p 0.0001) of T2DM patients.Tai Chi exercise therapy shows significant superiority in improving the FBG, HbA1c, TG, and HDL-C in T2DM patients. It can be used as one of the exercise prescriptions for prevention and treatment of T2DM patients.

In this paper, a buck converter based on synchronous rectification is designed. In this design, the rectifier tube is replaced with a MOSFET to raise the efficiency. In addition, type III compensation network is used to constitute the voltage close loop for getting the better performance. Compensation network was designed by Mathcad. Finally, we find the gain transfer function for the close loop, which is up to the mustard. At last, through the simulation with MATLAB, we get the output voltage waveform and the output voltage ripple under different conditions. It shows that compared with the open loop circuit, the close loop circuit has a better performance. To be specific, the output voltage ripple is smaller, the response time is shorter and the anti-disturbance ability is stronger. In conclusion, the result is consistent with the theoretical analysis.

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The National Natural Science Foundation of China (grant No. 41672120 and No. 41402120), and Shandong University of Science and Technology Research Fund (grant No. 2015TDJH101).

A novel corrected unwrapping method is proposed for panoramic annular images based on the catadioptric panoramic imaging system. The method is comprised of four key steps. Firstly, the distortion centre parameters on the panoramic annular image are determined, including the tangential distortion centre by using the least-square fitting (LSF) method and the radial distortion centre by extracting feature points. Secondly, the affine transformation relation between panoramic annular image and cylindrical panoramic image is constructed based on the centre parameters and the geometric properties of panoramic image. Then the annular image pixels are replicated into the cylindrical panoramic image by means of the bilinear interpolation. Finally, the frame aspect ratio for the final image unwrapping is corrected. The motivation for developing this technique is to solve the distortion problem from the centre deviation, and ultimately to promotes its adoption in pipe non-destructive testing systems. Experimental results have proved the feasibility, validity and higher accuracy of the unwrapping method.

The study of semantic kernel function is an important branch of kernel function research in recent years. However, there are few studies on the use of semantic kernel function in support vector machine for Chinese text classification. This paper constructs a domain-related weight matrix based on statistical features and a semantic kernel function based on the combination of "HowNet" and "Synonyms", and how to make full use of semantic relations in Chinese text to improve classification performance. The semantic kernel function is embedded in the support vector machine classifier for Chinese text classification experiment. The test results show that the accuracy, recall rate and F1 value of the support vector machine (SVM) of the semantic kernel function are higher than that of a single ontology or statistic-based semantic kernel function.

This paper studies an approach to calculate the effect of time harmonic on permanent magnet synchronous motor (PMSM) performance. The harmonic equivalent circuit is built by main voltage harmonic and auxiliary electromotive force (EMF) harmonic, and the calculation method of the parameters in the equivalent circuit is found out. The influence of time harmonic on PMSM is figured out subsequently. Compared with the experimental data, the calculation results are consistent with the tested results.

The radar background noise is usually assumed as Gaussian distribution, and square law detection is taken, thus the reference sample falling in a sliding window used to estimate the noise power level follows an exponential distribution. In this paper, statistical analysis of order statistics for exponential distribution is carried out, the probability density function and moment generating function (mdf) of order statistics for exponential distribution are derived, the mean, estimation variance and ADT of order statistics are also given. Finally, its application for constant false alarm rate (CFAR) is discussed.