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This study investigated the nutritional benefits of complex dietary fiber (beta-glucan and fructo-oligosaccharides, CDF) supplementation in sows and piglets during late pregnancy and lactation. Twenty-four sows were randomly divided into two groups: the control group was fed a basal diet (n = 12), and the experimental group was fed a CDF diet (0.25% CDF replaced the same proportion of corn in the basal diet, n = 12). Dietary treatment was given from day 107 of pregnancy to day 25 of lactation. The results of this experiment showed that CDF increased the average daily feed intake (ADFI) of sows during lactation and the weaning body weight (BW) and average daily gain of piglets. Dietary CDF supplementation improved the antioxidant capacity and immune level of sows and decreased the serum zonulin level. Dietary supplementation with CDF increased the levels of antioxidant activity, immunoglobulin, and anti-inflammatory factor interleukin-10 (IL-10) in milk. Meanwhile, piglets in the CDF group had increased serum antioxidant activity, immunoglobulin, and growth-related hormone levels; decreased malondialdehyde (MDA), interleukin-6 (IL-6), and D-lactic acid (D-LA) levels; and increased fecal short-chain fatty acid content. In addition, the CDF group increased the diversity of microorganisms in sow feces. In conclusion, the supplementation of a diet with CDF in late pregnancy and lactation can alleviate the oxidative stress of sows, improve milk quality, and have significant positive effects on the antioxidant capacity and growth performance of piglets. [ABSTRACT FROM AUTHOR]

[Introduction] Aiming at the problems of long inspection period, high operation intensity and no guarantee of objectivity and integrity of inspection results of the current tree barrier inspection of transmission line, this paper presents a method for three-dimensional modeling of transmission lines and intelligent identification of dangers of tree barriers based on three-dimensional laser point cloud data of fixed-wing UAV. [Method] Point cloud data of transmission lines was collected by three-dimensional laser scanner equipped with fixed wing UAVs, then extracted the power line points in the point cloud and simulate the complete power lines, calculated the euclidean distance between vegetation and power line protection area, and we can get the information of tree barriaer points or early-warning points through comparing the calculated results with the power line safety specifications. [Result] The test results showed that the error of automatic fitting power line is small, which meeted the requirements of tree barrier detection. [Conclusion] This method can extract power lines automatically, quickly and completely, and the extraction accuracy meets the accuracy requirements of tree barrier detection, greatly improved the quality and efficiency of existing tree barrier danger detection method of transmission line.